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<li class="chapter" data-level="8.3.5" data-path="080_vector.html"><a href="080_vector.html#fill-x"><i class="fa fa-check"></i><b>8.3.5</b> <code>fill( x )</code></a></li>
<li class="chapter" data-level="8.3.6" data-path="080_vector.html"><a href="080_vector.html#sort"><i class="fa fa-check"></i><b>8.3.6</b> <code>sort()</code></a></li>
<li class="chapter" data-level="8.3.7" data-path="080_vector.html"><a href="080_vector.html#assign-first_it-last_it"><i class="fa fa-check"></i><b>8.3.7</b> <code>assign( first_it, last_it )</code></a></li>
<li class="chapter" data-level="8.3.8" data-path="080_vector.html"><a href="080_vector.html#push_back-x"><i class="fa fa-check"></i><b>8.3.8</b> <code>push_back( x )</code></a></li>
<li class="chapter" data-level="8.3.9" data-path="080_vector.html"><a href="080_vector.html#push_back-x-name"><i class="fa fa-check"></i><b>8.3.9</b> <code>push_back( x, name )</code></a></li>
<li class="chapter" data-level="8.3.10" data-path="080_vector.html"><a href="080_vector.html#push_front-x"><i class="fa fa-check"></i><b>8.3.10</b> <code>push_front( x )</code></a></li>
<li class="chapter" data-level="8.3.11" data-path="080_vector.html"><a href="080_vector.html#push_front-x-name"><i class="fa fa-check"></i><b>8.3.11</b> <code>push_front( x, name )</code></a></li>
<li class="chapter" data-level="8.3.12" data-path="080_vector.html"><a href="080_vector.html#begin"><i class="fa fa-check"></i><b>8.3.12</b> <code>begin()</code></a></li>
<li class="chapter" data-level="8.3.13" data-path="080_vector.html"><a href="080_vector.html#end"><i class="fa fa-check"></i><b>8.3.13</b> <code>end()</code></a></li>
<li class="chapter" data-level="8.3.14" data-path="080_vector.html"><a href="080_vector.html#cbegin"><i class="fa fa-check"></i><b>8.3.14</b> <code>cbegin()</code></a></li>
<li class="chapter" data-level="8.3.15" data-path="080_vector.html"><a href="080_vector.html#cend"><i class="fa fa-check"></i><b>8.3.15</b> <code>cend()</code></a></li>
<li class="chapter" data-level="8.3.16" data-path="080_vector.html"><a href="080_vector.html#insert-i-x"><i class="fa fa-check"></i><b>8.3.16</b> <code>insert( i, x )</code></a></li>
<li class="chapter" data-level="8.3.17" data-path="080_vector.html"><a href="080_vector.html#insert-it-x"><i class="fa fa-check"></i><b>8.3.17</b> <code>insert( it, x )</code></a></li>
<li class="chapter" data-level="8.3.18" data-path="080_vector.html"><a href="080_vector.html#erasei"><i class="fa fa-check"></i><b>8.3.18</b> <code>erase(i)</code></a></li>
<li class="chapter" data-level="8.3.19" data-path="080_vector.html"><a href="080_vector.html#eraseit"><i class="fa fa-check"></i><b>8.3.19</b> <code>erase(it)</code></a></li>
<li class="chapter" data-level="8.3.20" data-path="080_vector.html"><a href="080_vector.html#erase-first_i-last_i"><i class="fa fa-check"></i><b>8.3.20</b> <code>erase( first_i, last_i )</code></a></li>
<li class="chapter" data-level="8.3.21" data-path="080_vector.html"><a href="080_vector.html#erase-first_it-last_it"><i class="fa fa-check"></i><b>8.3.21</b> <code>erase( first_it, last_it )</code></a></li>
<li class="chapter" data-level="8.3.22" data-path="080_vector.html"><a href="080_vector.html#containselementnamedname"><i class="fa fa-check"></i><b>8.3.22</b> <code>containsElementNamed(name)</code></a></li>
</ul></li>
<li class="chapter" data-level="8.4" data-path="080_vector.html"><a href="080_vector.html#static-member-functions-vector"><i class="fa fa-check"></i><b>8.4</b> Static member functions</a>
<ul>
<li class="chapter" data-level="8.4.1" data-path="080_vector.html"><a href="080_vector.html#get_na"><i class="fa fa-check"></i><b>8.4.1</b> <code>get_na()</code></a></li>
<li class="chapter" data-level="8.4.2" data-path="080_vector.html"><a href="080_vector.html#is_nax"><i class="fa fa-check"></i><b>8.4.2</b> <code>is_na(x)</code></a></li>
<li class="chapter" data-level="8.4.3" data-path="080_vector.html"><a href="080_vector.html#create-x1-x2-..."><i class="fa fa-check"></i><b>8.4.3</b> <code>create( x1, x2, ...)</code></a></li>
<li class="chapter" data-level="8.4.4" data-path="080_vector.html"><a href="080_vector.html#import-first_it-last_it"><i class="fa fa-check"></i><b>8.4.4</b> <code>import( first_it , last_it )</code></a></li>
<li class="chapter" data-level="8.4.5" data-path="080_vector.html"><a href="080_vector.html#import_transform-first_it-last_it-func"><i class="fa fa-check"></i><b>8.4.5</b> <code>import_transform( first_it, last_it, func)</code></a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="9" data-path="100_matrix.html"><a href="100_matrix.html"><i class="fa fa-check"></i><b>9</b> Matrix</a>
<ul>
<li class="chapter" data-level="9.1" data-path="100_matrix.html"><a href="100_matrix.html#creating-matrix-object"><i class="fa fa-check"></i><b>9.1</b> Creating Matrix object</a></li>
<li class="chapter" data-level="9.2" data-path="100_matrix.html"><a href="100_matrix.html#accessing-to-matrix-elements"><i class="fa fa-check"></i><b>9.2</b> Accessing to Matrix elements</a>
<ul>
<li class="chapter" data-level="9.2.1" data-path="100_matrix.html"><a href="100_matrix.html#accessing-as-reference-to-row-column-and-sub-matrix"><i class="fa fa-check"></i><b>9.2.1</b> Accessing as reference to row, column and sub matrix</a></li>
</ul></li>
<li class="chapter" data-level="9.3" data-path="100_matrix.html"><a href="100_matrix.html#member-functions-matrix"><i class="fa fa-check"></i><b>9.3</b> Member functions</a>
<ul>
<li class="chapter" data-level="9.3.1" data-path="100_matrix.html"><a href="100_matrix.html#nrow-rows"><i class="fa fa-check"></i><b>9.3.1</b> nrow() rows()</a></li>
<li class="chapter" data-level="9.3.2" data-path="100_matrix.html"><a href="100_matrix.html#ncol-cols"><i class="fa fa-check"></i><b>9.3.2</b> ncol() cols()</a></li>
<li class="chapter" data-level="9.3.3" data-path="100_matrix.html"><a href="100_matrix.html#row-i"><i class="fa fa-check"></i><b>9.3.3</b> row( i )</a></li>
<li class="chapter" data-level="9.3.4" data-path="100_matrix.html"><a href="100_matrix.html#column-i"><i class="fa fa-check"></i><b>9.3.4</b> column( i )</a></li>
<li class="chapter" data-level="9.3.5" data-path="100_matrix.html"><a href="100_matrix.html#fill_diag-x"><i class="fa fa-check"></i><b>9.3.5</b> fill_diag( x )</a></li>
<li class="chapter" data-level="9.3.6" data-path="100_matrix.html"><a href="100_matrix.html#offset-i-j"><i class="fa fa-check"></i><b>9.3.6</b> offset( i, j )</a></li>
</ul></li>
<li class="chapter" data-level="9.4" data-path="100_matrix.html"><a href="100_matrix.html#static-member-functions-matrix"><i class="fa fa-check"></i><b>9.4</b> Static member functions</a>
<ul>
<li class="chapter" data-level="9.4.1" data-path="100_matrix.html"><a href="100_matrix.html#matrixdiag-size-x"><i class="fa fa-check"></i><b>9.4.1</b> Matrix::diag( size, x )</a></li>
</ul></li>
<li class="chapter" data-level="9.5" data-path="100_matrix.html"><a href="100_matrix.html#other-functions-related-to-matrix"><i class="fa fa-check"></i><b>9.5</b> Other functions related to Matrix</a>
<ul>
<li class="chapter" data-level="9.5.1" data-path="100_matrix.html"><a href="100_matrix.html#rownames-m"><i class="fa fa-check"></i><b>9.5.1</b> rownames( m )</a></li>
<li class="chapter" data-level="9.5.2" data-path="100_matrix.html"><a href="100_matrix.html#colnames-m"><i class="fa fa-check"></i><b>9.5.2</b> colnames( m )</a></li>
<li class="chapter" data-level="9.5.3" data-path="100_matrix.html"><a href="100_matrix.html#transpose-m"><i class="fa fa-check"></i><b>9.5.3</b> transpose( m )</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="10" data-path="110_calculation.html"><a href="110_calculation.html"><i class="fa fa-check"></i><b>10</b> Vector operations</a>
<ul>
<li class="chapter" data-level="10.1" data-path="110_calculation.html"><a href="110_calculation.html#arithmetic-operations"><i class="fa fa-check"></i><b>10.1</b> Arithmetic operations</a></li>
<li class="chapter" data-level="10.2" data-path="110_calculation.html"><a href="110_calculation.html#comparison-operations"><i class="fa fa-check"></i><b>10.2</b> Comparison operations</a></li>
</ul></li>
<li class="chapter" data-level="11" data-path="120_logical.html"><a href="120_logical.html"><i class="fa fa-check"></i><b>11</b> Logical operations</a>
<ul>
<li class="chapter" data-level="11.1" data-path="120_logical.html"><a href="120_logical.html#logicalvector"><i class="fa fa-check"></i><b>11.1</b> LogicalVector</a>
<ul>
<li class="chapter" data-level="11.1.1" data-path="120_logical.html"><a href="120_logical.html#data-type-of-logicalvector-elements"><i class="fa fa-check"></i><b>11.1.1</b> Data type of LogicalVector elements</a></li>
</ul></li>
<li class="chapter" data-level="11.2" data-path="120_logical.html"><a href="120_logical.html#logical-operations-1"><i class="fa fa-check"></i><b>11.2</b> Logical operations</a></li>
<li class="chapter" data-level="11.3" data-path="120_logical.html"><a href="120_logical.html#function-that-receives-logicalvector"><i class="fa fa-check"></i><b>11.3</b> Function that receives LogicalVector</a>
<ul>
<li class="chapter" data-level="11.3.1" data-path="120_logical.html"><a href="120_logical.html#all-any"><i class="fa fa-check"></i><b>11.3.1</b> all(), any()</a></li>
<li class="chapter" data-level="11.3.2" data-path="120_logical.html"><a href="120_logical.html#ifelse"><i class="fa fa-check"></i><b>11.3.2</b> ifelse()</a></li>
</ul></li>
<li class="chapter" data-level="11.4" data-path="120_logical.html"><a href="120_logical.html#evaluation-of-elements-of-logicalvector"><i class="fa fa-check"></i><b>11.4</b> Evaluation of elements of LogicalVector</a></li>
</ul></li>
<li class="chapter" data-level="12" data-path="140_dataframe.html"><a href="140_dataframe.html"><i class="fa fa-check"></i><b>12</b> DataFrame</a>
<ul>
<li class="chapter" data-level="12.1" data-path="140_dataframe.html"><a href="140_dataframe.html#creating-a-dataframe-object"><i class="fa fa-check"></i><b>12.1</b> Creating a DataFrame object</a></li>
<li class="chapter" data-level="12.2" data-path="140_dataframe.html"><a href="140_dataframe.html#accessing-dataframe-elements"><i class="fa fa-check"></i><b>12.2</b> Accessing DataFrame elements</a></li>
<li class="chapter" data-level="12.3" data-path="140_dataframe.html"><a href="140_dataframe.html#member-functions-data-frame"><i class="fa fa-check"></i><b>12.3</b> Member functions</a>
<ul>
<li class="chapter" data-level="12.3.1" data-path="140_dataframe.html"><a href="140_dataframe.html#length-size-1"><i class="fa fa-check"></i><b>12.3.1</b> length() size()</a></li>
<li class="chapter" data-level="12.3.2" data-path="140_dataframe.html"><a href="140_dataframe.html#nrows"><i class="fa fa-check"></i><b>12.3.2</b> nrows()</a></li>
<li class="chapter" data-level="12.3.3" data-path="140_dataframe.html"><a href="140_dataframe.html#names-1"><i class="fa fa-check"></i><b>12.3.3</b> names()</a></li>
<li class="chapter" data-level="12.3.4" data-path="140_dataframe.html"><a href="140_dataframe.html#offsetname-findnamename"><i class="fa fa-check"></i><b>12.3.4</b> offset(name) findName(name)</a></li>
<li class="chapter" data-level="12.3.5" data-path="140_dataframe.html"><a href="140_dataframe.html#fillv"><i class="fa fa-check"></i><b>12.3.5</b> fill(v)</a></li>
<li class="chapter" data-level="12.3.6" data-path="140_dataframe.html"><a href="140_dataframe.html#assign-first_it-last_it-1"><i class="fa fa-check"></i><b>12.3.6</b> assign( first_it, last_it)</a></li>
<li class="chapter" data-level="12.3.7" data-path="140_dataframe.html"><a href="140_dataframe.html#push_backv"><i class="fa fa-check"></i><b>12.3.7</b> push_back(v)</a></li>
<li class="chapter" data-level="12.3.8" data-path="140_dataframe.html"><a href="140_dataframe.html#push_back-v-name"><i class="fa fa-check"></i><b>12.3.8</b> push_back( v, name )</a></li>
<li class="chapter" data-level="12.3.9" data-path="140_dataframe.html"><a href="140_dataframe.html#push_frontx"><i class="fa fa-check"></i><b>12.3.9</b> push_front(x)</a></li>
<li class="chapter" data-level="12.3.10" data-path="140_dataframe.html"><a href="140_dataframe.html#push_front-x-name-1"><i class="fa fa-check"></i><b>12.3.10</b> push_front( x, name )</a></li>
<li class="chapter" data-level="12.3.11" data-path="140_dataframe.html"><a href="140_dataframe.html#begin-1"><i class="fa fa-check"></i><b>12.3.11</b> begin()</a></li>
<li class="chapter" data-level="12.3.12" data-path="140_dataframe.html"><a href="140_dataframe.html#end-1"><i class="fa fa-check"></i><b>12.3.12</b> end()</a></li>
<li class="chapter" data-level="12.3.13" data-path="140_dataframe.html"><a href="140_dataframe.html#insert-it-v"><i class="fa fa-check"></i><b>12.3.13</b> insert( it, v )</a></li>
<li class="chapter" data-level="12.3.14" data-path="140_dataframe.html"><a href="140_dataframe.html#erasei-1"><i class="fa fa-check"></i><b>12.3.14</b> erase(i)</a></li>
<li class="chapter" data-level="12.3.15" data-path="140_dataframe.html"><a href="140_dataframe.html#eraseit-1"><i class="fa fa-check"></i><b>12.3.15</b> erase(it)</a></li>
<li class="chapter" data-level="12.3.16" data-path="140_dataframe.html"><a href="140_dataframe.html#erasefirst_i-last_i"><i class="fa fa-check"></i><b>12.3.16</b> erase(first_i, last_i)</a></li>
<li class="chapter" data-level="12.3.17" data-path="140_dataframe.html"><a href="140_dataframe.html#erasefirst_it-last_it"><i class="fa fa-check"></i><b>12.3.17</b> erase(first_it, last_it)</a></li>
<li class="chapter" data-level="12.3.18" data-path="140_dataframe.html"><a href="140_dataframe.html#containselementnamedname-1"><i class="fa fa-check"></i><b>12.3.18</b> containsElementNamed(name)</a></li>
<li class="chapter" data-level="12.3.19" data-path="140_dataframe.html"><a href="140_dataframe.html#inheritsstr"><i class="fa fa-check"></i><b>12.3.19</b> inherits(str)</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="13" data-path="150_list.html"><a href="150_list.html"><i class="fa fa-check"></i><b>13</b> List</a>
<ul>
<li class="chapter" data-level="13.1" data-path="150_list.html"><a href="150_list.html#creating-list-object"><i class="fa fa-check"></i><b>13.1</b> Creating List object</a></li>
<li class="chapter" data-level="13.2" data-path="150_list.html"><a href="150_list.html#accessing-list-elements"><i class="fa fa-check"></i><b>13.2</b> Accessing List elements</a></li>
<li class="chapter" data-level="13.3" data-path="150_list.html"><a href="150_list.html#member-functions-list"><i class="fa fa-check"></i><b>13.3</b> Member functions</a></li>
</ul></li>
<li class="chapter" data-level="14" data-path="160_s3_s4.html"><a href="160_s3_s4.html"><i class="fa fa-check"></i><b>14</b> S3・S4 class</a>
<ul>
<li class="chapter" data-level="14.1" data-path="160_s3_s4.html"><a href="160_s3_s4.html#s3-class"><i class="fa fa-check"></i><b>14.1</b> S3 class</a></li>
<li class="chapter" data-level="14.2" data-path="160_s3_s4.html"><a href="160_s3_s4.html#s4-class"><i class="fa fa-check"></i><b>14.2</b> S4 class</a>
<ul>
<li class="chapter" data-level="14.2.1" data-path="160_s3_s4.html"><a href="160_s3_s4.html#accessing-to-slot"><i class="fa fa-check"></i><b>14.2.1</b> Accessing to slot</a></li>
<li class="chapter" data-level="14.2.2" data-path="160_s3_s4.html"><a href="160_s3_s4.html#creating-a-new-s4-class-object"><i class="fa fa-check"></i><b>14.2.2</b> Creating a new S4 class object</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="15" data-path="170_string.html"><a href="170_string.html"><i class="fa fa-check"></i><b>15</b> String</a>
<ul>
<li class="chapter" data-level="15.1" data-path="170_string.html"><a href="170_string.html#creating-string-object"><i class="fa fa-check"></i><b>15.1</b> Creating String object</a></li>
<li class="chapter" data-level="15.2" data-path="170_string.html"><a href="170_string.html#operators-string"><i class="fa fa-check"></i><b>15.2</b> Operators</a></li>
<li class="chapter" data-level="15.3" data-path="170_string.html"><a href="170_string.html#member-functions-string"><i class="fa fa-check"></i><b>15.3</b> Member functions</a>
<ul>
<li class="chapter" data-level="15.3.1" data-path="170_string.html"><a href="170_string.html#replace_first-str-new_str"><i class="fa fa-check"></i><b>15.3.1</b> replace_first( str, new_str )</a></li>
<li class="chapter" data-level="15.3.2" data-path="170_string.html"><a href="170_string.html#replace_last-str-new_str"><i class="fa fa-check"></i><b>15.3.2</b> replace_last( str, new_str )</a></li>
<li class="chapter" data-level="15.3.3" data-path="170_string.html"><a href="170_string.html#replace_all-str-new_str"><i class="fa fa-check"></i><b>15.3.3</b> replace_all( str, new_str )</a></li>
<li class="chapter" data-level="15.3.4" data-path="170_string.html"><a href="170_string.html#push_backstr"><i class="fa fa-check"></i><b>15.3.4</b> push_back(str)</a></li>
<li class="chapter" data-level="15.3.5" data-path="170_string.html"><a href="170_string.html#push_frontstr"><i class="fa fa-check"></i><b>15.3.5</b> push_front(str)</a></li>
<li class="chapter" data-level="15.3.6" data-path="170_string.html"><a href="170_string.html#set_na"><i class="fa fa-check"></i><b>15.3.6</b> set_na()</a></li>
<li class="chapter" data-level="15.3.7" data-path="170_string.html"><a href="170_string.html#get_cstring"><i class="fa fa-check"></i><b>15.3.7</b> get_cstring()</a></li>
<li class="chapter" data-level="15.3.8" data-path="170_string.html"><a href="170_string.html#get_encoding"><i class="fa fa-check"></i><b>15.3.8</b> get_encoding()</a></li>
<li class="chapter" data-level="15.3.9" data-path="170_string.html"><a href="170_string.html#set_encodingenc"><i class="fa fa-check"></i><b>15.3.9</b> set_encoding(enc)</a></li>
<li class="chapter" data-level="15.3.10" data-path="170_string.html"><a href="170_string.html#code-example-string"><i class="fa fa-check"></i><b>15.3.10</b> Code example</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="16" data-path="180_date.html"><a href="180_date.html"><i class="fa fa-check"></i><b>16</b> Date and DateVector</a>
<ul>
<li class="chapter" data-level="16.1" data-path="180_date.html"><a href="180_date.html#creating-date-objects"><i class="fa fa-check"></i><b>16.1</b> Creating Date objects</a></li>
<li class="chapter" data-level="16.2" data-path="180_date.html"><a href="180_date.html#operators-date"><i class="fa fa-check"></i><b>16.2</b> Operators</a></li>
<li class="chapter" data-level="16.3" data-path="180_date.html"><a href="180_date.html#member-functions-date"><i class="fa fa-check"></i><b>16.3</b> Member functions</a>
<ul>
<li class="chapter" data-level="16.3.1" data-path="180_date.html"><a href="180_date.html#format"><i class="fa fa-check"></i><b>16.3.1</b> format()</a></li>
<li class="chapter" data-level="16.3.2" data-path="180_date.html"><a href="180_date.html#getday"><i class="fa fa-check"></i><b>16.3.2</b> getDay()</a></li>
<li class="chapter" data-level="16.3.3" data-path="180_date.html"><a href="180_date.html#getmonth"><i class="fa fa-check"></i><b>16.3.3</b> getMonth()</a></li>
<li class="chapter" data-level="16.3.4" data-path="180_date.html"><a href="180_date.html#getyear"><i class="fa fa-check"></i><b>16.3.4</b> getYear()</a></li>
<li class="chapter" data-level="16.3.5" data-path="180_date.html"><a href="180_date.html#getweekday"><i class="fa fa-check"></i><b>16.3.5</b> getWeekday()</a></li>
<li class="chapter" data-level="16.3.6" data-path="180_date.html"><a href="180_date.html#getyearday"><i class="fa fa-check"></i><b>16.3.6</b> getYearday()</a></li>
<li class="chapter" data-level="16.3.7" data-path="180_date.html"><a href="180_date.html#is_na"><i class="fa fa-check"></i><b>16.3.7</b> is_na()</a></li>
</ul></li>
<li class="chapter" data-level="16.4" data-path="180_date.html"><a href="180_date.html#execution-result-date"><i class="fa fa-check"></i><b>16.4</b> Execution result</a></li>
<li class="chapter" data-level="16.5" data-path="180_date.html"><a href="180_date.html#datevector-subsetting"><i class="fa fa-check"></i><b>16.5</b> DateVector subsetting</a></li>
</ul></li>
<li class="chapter" data-level="17" data-path="190_datetime.html"><a href="190_datetime.html"><i class="fa fa-check"></i><b>17</b> Datetime</a>
<ul>
<li class="chapter" data-level="17.1" data-path="190_datetime.html"><a href="190_datetime.html#creating-datetime-object"><i class="fa fa-check"></i><b>17.1</b> Creating Datetime object</a></li>
<li class="chapter" data-level="17.2" data-path="190_datetime.html"><a href="190_datetime.html#time-zone"><i class="fa fa-check"></i><b>17.2</b> Time zone</a></li>
<li class="chapter" data-level="17.3" data-path="190_datetime.html"><a href="190_datetime.html#operators-datetime"><i class="fa fa-check"></i><b>17.3</b> Operators</a></li>
<li class="chapter" data-level="17.4" data-path="190_datetime.html"><a href="190_datetime.html#member-functions-datetime"><i class="fa fa-check"></i><b>17.4</b> Member functions</a>
<ul>
<li class="chapter" data-level="17.4.1" data-path="190_datetime.html"><a href="190_datetime.html#getfractionaltimestamp"><i class="fa fa-check"></i><b>17.4.1</b> getFractionalTimestamp()</a></li>
<li class="chapter" data-level="17.4.2" data-path="190_datetime.html"><a href="190_datetime.html#getmicroseconds"><i class="fa fa-check"></i><b>17.4.2</b> getMicroSeconds()</a></li>
<li class="chapter" data-level="17.4.3" data-path="190_datetime.html"><a href="190_datetime.html#getseconds"><i class="fa fa-check"></i><b>17.4.3</b> getSeconds()</a></li>
<li class="chapter" data-level="17.4.4" data-path="190_datetime.html"><a href="190_datetime.html#getminutes"><i class="fa fa-check"></i><b>17.4.4</b> getMinutes()</a></li>
<li class="chapter" data-level="17.4.5" data-path="190_datetime.html"><a href="190_datetime.html#gethours"><i class="fa fa-check"></i><b>17.4.5</b> getHours()</a></li>
<li class="chapter" data-level="17.4.6" data-path="190_datetime.html"><a href="190_datetime.html#getday-1"><i class="fa fa-check"></i><b>17.4.6</b> getDay()</a></li>
<li class="chapter" data-level="17.4.7" data-path="190_datetime.html"><a href="190_datetime.html#getmonth-1"><i class="fa fa-check"></i><b>17.4.7</b> getMonth()</a></li>
<li class="chapter" data-level="17.4.8" data-path="190_datetime.html"><a href="190_datetime.html#getyear-1"><i class="fa fa-check"></i><b>17.4.8</b> getYear()</a></li>
<li class="chapter" data-level="17.4.9" data-path="190_datetime.html"><a href="190_datetime.html#getweekday-1"><i class="fa fa-check"></i><b>17.4.9</b> getWeekday()</a></li>
<li class="chapter" data-level="17.4.10" data-path="190_datetime.html"><a href="190_datetime.html#getyearday-1"><i class="fa fa-check"></i><b>17.4.10</b> getYearday()</a></li>
<li class="chapter" data-level="17.4.11" data-path="190_datetime.html"><a href="190_datetime.html#is_na-1"><i class="fa fa-check"></i><b>17.4.11</b> is_na()</a></li>
</ul></li>
<li class="chapter" data-level="17.5" data-path="190_datetime.html"><a href="190_datetime.html#code-example-datetime"><i class="fa fa-check"></i><b>17.5</b> Code example</a></li>
</ul></li>
<li class="chapter" data-level="18" data-path="200_robject.html"><a href="200_robject.html"><i class="fa fa-check"></i><b>18</b> RObject</a>
<ul>
<li class="chapter" data-level="18.1" data-path="200_robject.html"><a href="200_robject.html#member-functions"><i class="fa fa-check"></i><b>18.1</b> Member functions</a>
<ul>
<li class="chapter" data-level="18.1.1" data-path="200_robject.html"><a href="200_robject.html#inheritsstr-1"><i class="fa fa-check"></i><b>18.1.1</b> inherits(str)</a></li>
<li class="chapter" data-level="18.1.2" data-path="200_robject.html"><a href="200_robject.html#slotname"><i class="fa fa-check"></i><b>18.1.2</b> slot(name)</a></li>
<li class="chapter" data-level="18.1.3" data-path="200_robject.html"><a href="200_robject.html#hasslotname"><i class="fa fa-check"></i><b>18.1.3</b> hasSlot(name)</a></li>
<li class="chapter" data-level="18.1.4" data-path="200_robject.html"><a href="200_robject.html#attrname"><i class="fa fa-check"></i><b>18.1.4</b> attr(name)</a></li>
<li class="chapter" data-level="18.1.5" data-path="200_robject.html"><a href="200_robject.html#attributenames"><i class="fa fa-check"></i><b>18.1.5</b> attributeNames()</a></li>
<li class="chapter" data-level="18.1.6" data-path="200_robject.html"><a href="200_robject.html#hasattributename"><i class="fa fa-check"></i><b>18.1.6</b> hasAttribute(name)</a></li>
<li class="chapter" data-level="18.1.7" data-path="200_robject.html"><a href="200_robject.html#isnull"><i class="fa fa-check"></i><b>18.1.7</b> isNULL()</a></li>
<li class="chapter" data-level="18.1.8" data-path="200_robject.html"><a href="200_robject.html#sexp_type"><i class="fa fa-check"></i><b>18.1.8</b> sexp_type()</a></li>
<li class="chapter" data-level="18.1.9" data-path="200_robject.html"><a href="200_robject.html#isobject"><i class="fa fa-check"></i><b>18.1.9</b> isObject()</a></li>
<li class="chapter" data-level="18.1.10" data-path="200_robject.html"><a href="200_robject.html#iss4"><i class="fa fa-check"></i><b>18.1.10</b> isS4()</a></li>
</ul></li>
<li class="chapter" data-level="18.2" data-path="200_robject.html"><a href="200_robject.html#determining-type-of-object-assigned-to-robject"><i class="fa fa-check"></i><b>18.2</b> Determining type of object assigned to RObject</a></li>
<li class="chapter" data-level="18.3" data-path="200_robject.html"><a href="200_robject.html#using-robject-to-write-functions-that-receive-various-datatypes-function-templates"><i class="fa fa-check"></i><b>18.3</b> Using <code>RObject</code> to write functions that receive various datatypes (function templates)</a></li>
</ul></li>
<li class="chapter" data-level="19" data-path="201_caution_vector.html"><a href="201_caution_vector.html"><i class="fa fa-check"></i><b>19</b> Cautions in handling Rcpp objects</a>
<ul>
<li class="chapter" data-level="19.1" data-path="201_caution_vector.html"><a href="201_caution_vector.html#assigning-between-vectors"><i class="fa fa-check"></i><b>19.1</b> Assigning between vectors</a></li>
<li class="chapter" data-level="19.2" data-path="201_caution_vector.html"><a href="201_caution_vector.html#data-type-of-numerical-index"><i class="fa fa-check"></i><b>19.2</b> Data type of numerical index</a></li>
<li class="chapter" data-level="19.3" data-path="201_caution_vector.html"><a href="201_caution_vector.html#return-type-of-operator"><i class="fa fa-check"></i><b>19.3</b> Return type of operator[]</a></li>
</ul></li>
<li class="chapter" data-level="20" data-path="202_attributes.html"><a href="202_attributes.html"><i class="fa fa-check"></i><b>20</b> Attributes</a>
<ul>
<li class="chapter" data-level="20.1" data-path="202_attributes.html"><a href="202_attributes.html#attributes-related-functions"><i class="fa fa-check"></i><b>20.1</b> Attributes related functions</a></li>
<li class="chapter" data-level="20.2" data-path="202_attributes.html"><a href="202_attributes.html#access-functions-for-common-attributes"><i class="fa fa-check"></i><b>20.2</b> Access functions for common attributes</a></li>
</ul></li>
<li class="chapter" data-level="21" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html"><i class="fa fa-check"></i><b>21</b> R-like functions</a>
<ul>
<li class="chapter" data-level="21.1" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#list-of-r-like-functions"><i class="fa fa-check"></i><b>21.1</b> List of R-like functions</a>
<ul>
<li class="chapter" data-level="21.1.1" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#vector-related-functions"><i class="fa fa-check"></i><b>21.1.1</b> Vector related functions</a></li>
<li class="chapter" data-level="21.1.2" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#string-related-functions"><i class="fa fa-check"></i><b>21.1.2</b> String related functions</a></li>
<li class="chapter" data-level="21.1.3" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#finding-values"><i class="fa fa-check"></i><b>21.1.3</b> Finding values</a></li>
<li class="chapter" data-level="21.1.4" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#duplicated-values"><i class="fa fa-check"></i><b>21.1.4</b> Duplicated values</a></li>
<li class="chapter" data-level="21.1.5" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#set-operation"><i class="fa fa-check"></i><b>21.1.5</b> Set operation</a></li>
<li class="chapter" data-level="21.1.6" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#functions-related-to-maximum-and-minimum-values"><i class="fa fa-check"></i><b>21.1.6</b> Functions related to maximum and minimum values</a></li>
<li class="chapter" data-level="21.1.7" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#functions-related-to-summaries"><i class="fa fa-check"></i><b>21.1.7</b> Functions related to summaries</a></li>
<li class="chapter" data-level="21.1.8" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#functions-related-to-rounding-values"><i class="fa fa-check"></i><b>21.1.8</b> Functions related to rounding values</a></li>
<li class="chapter" data-level="21.1.9" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#functions-related-to-math"><i class="fa fa-check"></i><b>21.1.9</b> Functions related to math</a></li>
<li class="chapter" data-level="21.1.10" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#functions-related-to-logical-values"><i class="fa fa-check"></i><b>21.1.10</b> Functions related to logical values</a></li>
<li class="chapter" data-level="21.1.11" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#functions-related-to-na-inf-nan"><i class="fa fa-check"></i><b>21.1.11</b> Functions related to NA Inf NaN</a></li>
<li class="chapter" data-level="21.1.12" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#apply-functions"><i class="fa fa-check"></i><b>21.1.12</b> apply functions</a></li>
<li class="chapter" data-level="21.1.13" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#cbind-function"><i class="fa fa-check"></i><b>21.1.13</b> cbind function</a></li>
<li class="chapter" data-level="21.1.14" data-path="210_rcpp_functions.html"><a href="210_rcpp_functions.html#sampling"><i class="fa fa-check"></i><b>21.1.14</b> sampling</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="22" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html"><i class="fa fa-check"></i><b>22</b> Probability distribution</a>
<ul>
<li class="chapter" data-level="22.1" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#basic-structure-of-probability-distribution-function"><i class="fa fa-check"></i><b>22.1</b> Basic structure of probability distribution function</a></li>
<li class="chapter" data-level="22.2" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#list-of-probability-distribution-functions"><i class="fa fa-check"></i><b>22.2</b> List of probability distribution functions</a>
<ul>
<li class="chapter" data-level="22.2.1" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#continuous-probability-distribution"><i class="fa fa-check"></i><b>22.2.1</b> Continuous probability distribution</a></li>
<li class="chapter" data-level="22.2.2" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#discrete-probability-distribution"><i class="fa fa-check"></i><b>22.2.2</b> Discrete probability distribution</a></li>
</ul></li>
<li class="chapter" data-level="22.3" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#continuous-probability-distribution-1"><i class="fa fa-check"></i><b>22.3</b> Continuous probability distribution</a>
<ul>
<li class="chapter" data-level="22.3.1" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#uniform-distribution"><i class="fa fa-check"></i><b>22.3.1</b> Uniform distribution</a></li>
<li class="chapter" data-level="22.3.2" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#normal-distribution"><i class="fa fa-check"></i><b>22.3.2</b> Normal distribution</a></li>
<li class="chapter" data-level="22.3.3" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#log-normal-distribution"><i class="fa fa-check"></i><b>22.3.3</b> Log-normal distribution</a></li>
<li class="chapter" data-level="22.3.4" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#gamma-distribution"><i class="fa fa-check"></i><b>22.3.4</b> Gamma distribution</a></li>
<li class="chapter" data-level="22.3.5" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#beta-distribution"><i class="fa fa-check"></i><b>22.3.5</b> Beta distribution</a></li>
<li class="chapter" data-level="22.3.6" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#noncentral-beta-distribution"><i class="fa fa-check"></i><b>22.3.6</b> Noncentral beta distribution</a></li>
<li class="chapter" data-level="22.3.7" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#chi-squared-distribution"><i class="fa fa-check"></i><b>22.3.7</b> Chi-squared distribution</a></li>
<li class="chapter" data-level="22.3.8" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#noncentral-chi-squared-distribution"><i class="fa fa-check"></i><b>22.3.8</b> Noncentral chi-squared distribution</a></li>
<li class="chapter" data-level="22.3.9" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#t-distribution"><i class="fa fa-check"></i><b>22.3.9</b> t-distribution</a></li>
<li class="chapter" data-level="22.3.10" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#noncentral-t-distribution"><i class="fa fa-check"></i><b>22.3.10</b> Noncentral t-distribution</a></li>
<li class="chapter" data-level="22.3.11" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#f-distribution"><i class="fa fa-check"></i><b>22.3.11</b> F-distribution</a></li>
<li class="chapter" data-level="22.3.12" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#noncentral-f-distribution"><i class="fa fa-check"></i><b>22.3.12</b> Noncentral F-distribution</a></li>
<li class="chapter" data-level="22.3.13" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#cauchy-distribution"><i class="fa fa-check"></i><b>22.3.13</b> Cauchy distribution</a></li>
<li class="chapter" data-level="22.3.14" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#exponential-distribution"><i class="fa fa-check"></i><b>22.3.14</b> Exponential distribution</a></li>
<li class="chapter" data-level="22.3.15" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#logistic-distribution"><i class="fa fa-check"></i><b>22.3.15</b> Logistic distribution</a></li>
<li class="chapter" data-level="22.3.16" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#weibull-distribution"><i class="fa fa-check"></i><b>22.3.16</b> Weibull distribution</a></li>
</ul></li>
<li class="chapter" data-level="22.4" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#discrete-probability-distribution-1"><i class="fa fa-check"></i><b>22.4</b> Discrete probability distribution</a>
<ul>
<li class="chapter" data-level="22.4.1" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#binomial-distribution"><i class="fa fa-check"></i><b>22.4.1</b> Binomial distribution</a></li>
<li class="chapter" data-level="22.4.2" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#negative-binomial-distribution-with-success-probability-as-parameter"><i class="fa fa-check"></i><b>22.4.2</b> Negative binomial distribution (with success probability as parameter)</a></li>
<li class="chapter" data-level="22.4.3" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#negative-binomial-distribution-with-mean-as-parameter"><i class="fa fa-check"></i><b>22.4.3</b> Negative binomial distribution (with mean as parameter)</a></li>
<li class="chapter" data-level="22.4.4" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#poisson-distribution"><i class="fa fa-check"></i><b>22.4.4</b> Poisson distribution</a></li>
<li class="chapter" data-level="22.4.5" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#geometric-distribution"><i class="fa fa-check"></i><b>22.4.5</b> Geometric distribution</a></li>
<li class="chapter" data-level="22.4.6" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#hypergeometric-distribution"><i class="fa fa-check"></i><b>22.4.6</b> Hypergeometric distribution</a></li>
<li class="chapter" data-level="22.4.7" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#distribution-of-wilcoxon-rank-sum-test-statistic"><i class="fa fa-check"></i><b>22.4.7</b> Distribution of Wilcoxon rank-sum test statistic</a></li>
<li class="chapter" data-level="22.4.8" data-path="220_dpqr_functions.html"><a href="220_dpqr_functions.html#distribution-of-wilcoxon-signed-rank-test-statistic"><i class="fa fa-check"></i><b>22.4.8</b> Distribution of Wilcoxon signed-rank test statistic</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="23" data-path="230_R_function.html"><a href="230_R_function.html"><i class="fa fa-check"></i><b>23</b> Using R functions</a>
<ul>
<li class="chapter" data-level="23.1" data-path="230_R_function.html"><a href="230_R_function.html#function"><i class="fa fa-check"></i><b>23.1</b> Function</a></li>
<li class="chapter" data-level="23.2" data-path="230_R_function.html"><a href="230_R_function.html#environment"><i class="fa fa-check"></i><b>23.2</b> Environment</a></li>
</ul></li>
<li class="chapter" data-level="24" data-path="240_na_nan_inf.html"><a href="240_na_nan_inf.html"><i class="fa fa-check"></i><b>24</b> NA NaN Inf NULL</a>
<ul>
<li class="chapter" data-level="24.1" data-path="240_na_nan_inf.html"><a href="240_na_nan_inf.html#notations-of-na-nan-inf"><i class="fa fa-check"></i><b>24.1</b> Notations of NA NaN Inf</a></li>
<li class="chapter" data-level="24.2" data-path="240_na_nan_inf.html"><a href="240_na_nan_inf.html#evaluating-na-nan-inf"><i class="fa fa-check"></i><b>24.2</b> Evaluating NA NaN Inf</a>
<ul>
<li class="chapter" data-level="24.2.1" data-path="240_na_nan_inf.html"><a href="240_na_nan_inf.html#evaluating-all-the-elements-of-a-vector-at-once"><i class="fa fa-check"></i><b>24.2.1</b> Evaluating all the elements of a vector at once</a></li>
<li class="chapter" data-level="24.2.2" data-path="240_na_nan_inf.html"><a href="240_na_nan_inf.html#evaluating-single-element-of-a-vector"><i class="fa fa-check"></i><b>24.2.2</b> Evaluating single element of a vector</a></li>
</ul></li>
<li class="chapter" data-level="24.3" data-path="240_na_nan_inf.html"><a href="240_na_nan_inf.html#null"><i class="fa fa-check"></i><b>24.3</b> NULL</a></li>
<li class="chapter" data-level="24.4" data-path="240_na_nan_inf.html"><a href="240_na_nan_inf.html#points-to-note-when-handling-na-with-rcpp"><i class="fa fa-check"></i><b>24.4</b> Points to note when handling NA with Rcpp</a></li>
</ul></li>
<li class="chapter" data-level="25" data-path="250_factor.html"><a href="250_factor.html"><i class="fa fa-check"></i><b>25</b> factor</a></li>
<li class="chapter" data-level="26" data-path="260_error.html"><a href="260_error.html"><i class="fa fa-check"></i><b>26</b> Error handling</a></li>
<li class="chapter" data-level="27" data-path="270_cancellation.html"><a href="270_cancellation.html"><i class="fa fa-check"></i><b>27</b> Cancel handling</a></li>
<li class="chapter" data-level="28" data-path="280_environment.html"><a href="280_environment.html"><i class="fa fa-check"></i><b>28</b> Environment</a>
<ul>
<li class="chapter" data-level="28.1" data-path="280_environment.html"><a href="280_environment.html#creating-environment-object"><i class="fa fa-check"></i><b>28.1</b> Creating Environment object</a></li>
<li class="chapter" data-level="28.2" data-path="280_environment.html"><a href="280_environment.html#accessing-object-in-a-environment"><i class="fa fa-check"></i><b>28.2</b> Accessing object in a environment</a></li>
<li class="chapter" data-level="28.3" data-path="280_environment.html"><a href="280_environment.html#creating-new-environment"><i class="fa fa-check"></i><b>28.3</b> Creating new environment</a>
<ul>
<li class="chapter" data-level="28.3.1" data-path="280_environment.html"><a href="280_environment.html#new_envsize-29"><i class="fa fa-check"></i><b>28.3.1</b> new_env(size = 29)</a></li>
<li class="chapter" data-level="28.3.2" data-path="280_environment.html"><a href="280_environment.html#new_envparent-size-29"><i class="fa fa-check"></i><b>28.3.2</b> new_env(parent, size = 29)</a></li>
</ul></li>
<li class="chapter" data-level="28.4" data-path="280_environment.html"><a href="280_environment.html#member-functions-1"><i class="fa fa-check"></i><b>28.4</b> Member functions</a>
<ul>
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<section class="normal" id="section-">
<div id="probability-distribution" class="section level1" number="22">
<h1><span class="header-section-number">Chapter 22</span> Probability distribution</h1>
<p>Rcpp provides all major probability distribution functions in R. Same as R, four functions starting with the character d/p/q/r are defined for each probability distribution.</p>
<p>d/p/q/r functions on probability distribution XXX</p>
<ul>
<li>dXXX: Probability density function</li>
<li>pXXX: Cumulative distribution function</li>
<li>qXXX: Quantile function</li>
<li>rXXX: Random number generation function</li>
</ul>
<div id="basic-structure-of-probability-distribution-function" class="section level2" number="22.1">
<h2><span class="header-section-number">22.1</span> Basic structure of probability distribution function</h2>
<p>In Rcpp, probability distribution functions with the same name are defined in two namespaces, <code>R::</code> and <code>Rcpp::</code>. These differences are that the function defined in <code>Rcpp::</code> namespace returns a vector, while the function in the <code>R::</code> namespace returns a scalar. Basically, the probability distribution functions defined in the <code>Rcpp::</code> namespace has the same functionalities as those in R. So normally you can use a function in the <code>Rcpp::</code> namespace, but if you want a scalar value, it is better to use that function in <code>R::</code> namespace because it’s faster.</p>
<p>The basic structures of the probability distribution functions defined in the <code>Rcpp::</code> namespace are shown below. In fact, the definition of the probability distribution function of the <code>Rcpp ::</code> namespace is not written directly in the source code of Rcpp (because it is written using macros). But you can assume that the function is defined like as below.</p>
<div class="sourceCode" id="cb87"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb87-1"><a href="220_dpqr_functions.html#cb87-1"></a>NumericVector Rcpp::dXXX( NumericVector x, <span class="dt">double</span> par, <span class="dt">bool</span> log = <span class="kw">false</span> )</span>
<span id="cb87-2"><a href="220_dpqr_functions.html#cb87-2"></a>NumericVector Rcpp::pXXX( NumericVector q, <span class="dt">double</span> par, <span class="dt">bool</span> lower = <span class="kw">true</span>, <span class="dt">bool</span> log = <span class="kw">false</span> )</span>
<span id="cb87-3"><a href="220_dpqr_functions.html#cb87-3"></a>NumericVector Rcpp::qXXX( NumericVector p, <span class="dt">double</span> par, <span class="dt">bool</span> lower = <span class="kw">true</span>, <span class="dt">bool</span> log = <span class="kw">false</span> )</span>
<span id="cb87-4"><a href="220_dpqr_functions.html#cb87-4"></a>NumericVector Rcpp::rXXX( <span class="dt">int</span> n, <span class="dt">double</span> par )</span></code></pre></div>
<p>The basic structures of the probability distribution functions defined in the <code>R::</code> namespace are shown below.
It basically has the same functionality as those defined in the <code>Rcpp::</code> namespace except that it accepts and returns <code>double</code> type. In addition, the arguments of the function do not have default values, so user must give the value explicitly.</p>
<div class="sourceCode" id="cb88"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb88-1"><a href="220_dpqr_functions.html#cb88-1"></a><span class="dt">double</span> R::dXXX( <span class="dt">double</span> x, <span class="dt">double</span> par, <span class="dt">int</span> log )</span>
<span id="cb88-2"><a href="220_dpqr_functions.html#cb88-2"></a><span class="dt">double</span> R::pXXX( <span class="dt">double</span> q, <span class="dt">double</span> par, <span class="dt">int</span> lower, <span class="dt">int</span> log )</span>
<span id="cb88-3"><a href="220_dpqr_functions.html#cb88-3"></a><span class="dt">double</span> R::qXXX( <span class="dt">double</span> p, <span class="dt">double</span> par, <span class="dt">int</span> lower, <span class="dt">int</span> log )</span>
<span id="cb88-4"><a href="220_dpqr_functions.html#cb88-4"></a><span class="dt">double</span> R::rXXX( <span class="dt">double</span> par )</span></code></pre></div>
<p>The arguments of the probability distribution function are described below.</p>
<ul>
<li><strong>x, q</strong> : random variable</li>
<li><strong>p</strong> : probability</li>
<li><strong>n</strong> : number of observation</li>
<li><strong>par</strong> : Parameter（the number of distribution parameters varies depending on the distribution）</li>
<li><strong>lower</strong> : <code>true</code> : Calculate the probability of the region where the random variable is less than or equal to x, <code>false</code> : Calculate the probability of the region larger than x</li>
<li><strong>log</strong> : true : probabilities p are given as log(p)</li>
</ul>
</div>
<div id="list-of-probability-distribution-functions" class="section level2" number="22.2">
<h2><span class="header-section-number">22.2</span> List of probability distribution functions</h2>
<p>List of probability distribution functions provided by Rcpp is shown below. Here, the names of the distribution parameters are matched with those of R, so refer to the R help for details.</p>
<div id="continuous-probability-distribution" class="section level3" number="22.2.1">
<h3><span class="header-section-number">22.2.1</span> Continuous probability distribution</h3>
<ul>
<li><a href="220_dpqr_functions.html#uniform-distribution">Uniform distribution</a></li>
<li><a href="220_dpqr_functions.html#normal-distribution">Normal distribution</a></li>
<li><a href="220_dpqr_functions.html#log-normal-distribution">Log-normal distribution</a></li>
<li><a href="220_dpqr_functions.html#gamma-distribution">Gamma distribution</a></li>
<li><a href="220_dpqr_functions.html#beta-distribution">Beta distribution</a></li>
<li><a href="220_dpqr_functions.html#noncentral-beta-distribution">Noncentral beta distribution</a></li>
<li><a href="220_dpqr_functions.html#chi-squared-distribution">Chi-squared distribution</a></li>
<li><a href="220_dpqr_functions.html#noncentral-chi-squared-distribution">Noncentral chi-squared distribution</a></li>
<li><a href="220_dpqr_functions.html#t-distribution">t-distribution</a></li>
<li><a href="220_dpqr_functions.html#noncentral-t-distribution">Noncentral t-distribution</a></li>
<li><a href="220_dpqr_functions.html#f-distribution">F-distribution</a></li>
<li><a href="220_dpqr_functions.html#noncentral-f-distribution">Noncentral F-distribution</a></li>
<li><a href="220_dpqr_functions.html#cauchy-distribution">Cauchy distribution</a></li>
<li><a href="220_dpqr_functions.html#exponential-distribution">Exponential distribution</a></li>
<li><a href="220_dpqr_functions.html#logistic-distribution">Logistic distribution</a></li>
<li><a href="220_dpqr_functions.html#weibull-distribution">Weibull distribution</a></li>
</ul>
</div>
<div id="discrete-probability-distribution" class="section level3" number="22.2.2">
<h3><span class="header-section-number">22.2.2</span> Discrete probability distribution</h3>
<ul>
<li><a href="220_dpqr_functions.html#binomial-distribution">Binomial distribution</a></li>
<li><a href="220_dpqr_functions.html#negative-binomial-distribution-with-success-probability-as-parameter">Negative binomial distribution (with success probability as parameter)</a>)</li>
<li><a href="220_dpqr_functions.html#negative-binomial-distribution-with-mean-as-parameter">Negative binomial distribution (with mean as parameter)</a></li>
<li><a href="220_dpqr_functions.html#poisson-distribution">Poisson distribution</a></li>
<li><a href="220_dpqr_functions.html#geometric-distribution">Geometric distribution</a></li>
<li><a href="#Hypergeometric distribution">Hypergeometric distribution</a></li>
<li><a href="220_dpqr_functions.html#distribution-of-wilcoxon-rank-sum-test-statistic">Distribution of Wilcoxon rank-sum test statistic</a></li>
<li><a href="220_dpqr_functions.html#distribution-of-wilcoxon-signed-rank-test-statistic">Distribution of Wilcoxon signed-rank test statistic</a></li>
</ul>
</div>
</div>
<div id="continuous-probability-distribution-1" class="section level2" number="22.3">
<h2><span class="header-section-number">22.3</span> Continuous probability distribution</h2>
<div id="uniform-distribution" class="section level3" number="22.3.1">
<h3><span class="header-section-number">22.3.1</span> Uniform distribution</h3>
<p>These functions provide information about the uniform distribution on the interval from <code>min</code> to <code>max</code>.</p>
<div class="sourceCode" id="cb89"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb89-1"><a href="220_dpqr_functions.html#cb89-1"></a>Rcpp::dunif( x, min = <span class="fl">0.0</span>, max = <span class="fl">1.0</span>, log = <span class="kw">false</span> )</span>
<span id="cb89-2"><a href="220_dpqr_functions.html#cb89-2"></a>Rcpp::punif( q, min = <span class="fl">0.0</span>, max = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb89-3"><a href="220_dpqr_functions.html#cb89-3"></a>Rcpp::qunif( p, min = <span class="fl">0.0</span>, max = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb89-4"><a href="220_dpqr_functions.html#cb89-4"></a>Rcpp::runif( n, min = <span class="fl">0.0</span>, max = <span class="fl">1.0</span> )</span>
<span id="cb89-5"><a href="220_dpqr_functions.html#cb89-5"></a></span>
<span id="cb89-6"><a href="220_dpqr_functions.html#cb89-6"></a>R::dunif( x, min, max, log )</span>
<span id="cb89-7"><a href="220_dpqr_functions.html#cb89-7"></a>R::punif( q, min, max, lower, log )</span>
<span id="cb89-8"><a href="220_dpqr_functions.html#cb89-8"></a>R::qunif( p, min, max, lower, log )</span>
<span id="cb89-9"><a href="220_dpqr_functions.html#cb89-9"></a>R::runif( min, max )</span></code></pre></div>
</div>
<div id="normal-distribution" class="section level3" number="22.3.2">
<h3><span class="header-section-number">22.3.2</span> Normal distribution</h3>
<p>These functions provide information about the normal distribution with mean equal to <code>mean</code> and standard deviation equal to <code>sd</code>.</p>
<div class="sourceCode" id="cb90"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb90-1"><a href="220_dpqr_functions.html#cb90-1"></a>Rcpp::dnorm( x, mean = <span class="fl">0.0</span>, sd = <span class="fl">1.0</span>, log = <span class="kw">false</span> )</span>
<span id="cb90-2"><a href="220_dpqr_functions.html#cb90-2"></a>Rcpp::pnorm( q, mean = <span class="fl">0.0</span>, sd = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb90-3"><a href="220_dpqr_functions.html#cb90-3"></a>Rcpp::qnorm( p, mean = <span class="fl">0.0</span>, sd = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb90-4"><a href="220_dpqr_functions.html#cb90-4"></a>Rcpp::rnorm( n, mean = <span class="fl">0.0</span>, sd = <span class="fl">1.0</span> )</span>
<span id="cb90-5"><a href="220_dpqr_functions.html#cb90-5"></a></span>
<span id="cb90-6"><a href="220_dpqr_functions.html#cb90-6"></a>R::dnorm( x, mean, sd, log )</span>
<span id="cb90-7"><a href="220_dpqr_functions.html#cb90-7"></a>R::pnorm( q, mean, sd, lower, log )</span>
<span id="cb90-8"><a href="220_dpqr_functions.html#cb90-8"></a>R::qnorm( p, mean, sd, lower, log )</span>
<span id="cb90-9"><a href="220_dpqr_functions.html#cb90-9"></a>R::rnorm( mean, sd )</span></code></pre></div>
</div>
<div id="log-normal-distribution" class="section level3" number="22.3.3">
<h3><span class="header-section-number">22.3.3</span> Log-normal distribution</h3>
<p>These functions provide information about the log-normal distribution whose logarithm has mean equal to <code>meanlog</code> and standard deviation equal to <code>sdlog</code>.</p>
<div class="sourceCode" id="cb91"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb91-1"><a href="220_dpqr_functions.html#cb91-1"></a>Rcpp::dlnorm( x, meanlog = <span class="fl">0.0</span>, sdlog = <span class="fl">1.0</span>, log = <span class="kw">false</span> )</span>
<span id="cb91-2"><a href="220_dpqr_functions.html#cb91-2"></a>Rcpp::plnorm( q, meanlog = <span class="fl">0.0</span>, sdlog = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb91-3"><a href="220_dpqr_functions.html#cb91-3"></a>Rcpp::qlnorm( p, meanlog = <span class="fl">0.0</span>, sdlog = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb91-4"><a href="220_dpqr_functions.html#cb91-4"></a>Rcpp::rlnorm( n, meanlog = <span class="fl">0.0</span>, sdlog = <span class="fl">1.0</span> )</span>
<span id="cb91-5"><a href="220_dpqr_functions.html#cb91-5"></a></span>
<span id="cb91-6"><a href="220_dpqr_functions.html#cb91-6"></a>R::dlnorm( x, meanlog, sdlog, log )</span>
<span id="cb91-7"><a href="220_dpqr_functions.html#cb91-7"></a>R::plnorm( q, meanlog, sdlog, lower, log )</span>
<span id="cb91-8"><a href="220_dpqr_functions.html#cb91-8"></a>R::qlnorm( p, meanlog, sdlog, lower, log )</span>
<span id="cb91-9"><a href="220_dpqr_functions.html#cb91-9"></a>R::rlnorm( meanlog, sdlog )</span></code></pre></div>
</div>
<div id="gamma-distribution" class="section level3" number="22.3.4">
<h3><span class="header-section-number">22.3.4</span> Gamma distribution</h3>
<p>These functions provide information about the Gamma distribution with parameters <code>shape</code> and <code>scale</code>.</p>
<div class="sourceCode" id="cb92"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb92-1"><a href="220_dpqr_functions.html#cb92-1"></a>Rcpp::dgamma( x, shape, scale = <span class="fl">1.0</span>, log = <span class="kw">false</span> )</span>
<span id="cb92-2"><a href="220_dpqr_functions.html#cb92-2"></a>Rcpp::pgamma( q, shape, scale = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb92-3"><a href="220_dpqr_functions.html#cb92-3"></a>Rcpp::qgamma( p, shape, scale = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb92-4"><a href="220_dpqr_functions.html#cb92-4"></a>Rcpp::rgamma( n, shape, scale = <span class="fl">1.0</span> )</span>
<span id="cb92-5"><a href="220_dpqr_functions.html#cb92-5"></a></span>
<span id="cb92-6"><a href="220_dpqr_functions.html#cb92-6"></a>R::dgamma( x, shape, scale, log )</span>
<span id="cb92-7"><a href="220_dpqr_functions.html#cb92-7"></a>R::pgamma( x, shape, scale, lower, log )</span>
<span id="cb92-8"><a href="220_dpqr_functions.html#cb92-8"></a>R::qgamma( q, shape, scale, lower, log )</span>
<span id="cb92-9"><a href="220_dpqr_functions.html#cb92-9"></a>R::rgamma( shape, scale )</span></code></pre></div>
</div>
<div id="beta-distribution" class="section level3" number="22.3.5">
<h3><span class="header-section-number">22.3.5</span> Beta distribution</h3>
<p>These functions provide information about the Beta distribution with parameters <code>shape1</code> and <code>shape2</code>. These functions are equivalent to setting 0 for the noncentrality parameter <code>ncp</code> in the Beta distribution function in R.</p>
<div class="sourceCode" id="cb93"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb93-1"><a href="220_dpqr_functions.html#cb93-1"></a>Rcpp::dbeta( x, shape1, shape2, log = <span class="kw">false</span> )</span>
<span id="cb93-2"><a href="220_dpqr_functions.html#cb93-2"></a>Rcpp::pbeta( x, shape1, shape2, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb93-3"><a href="220_dpqr_functions.html#cb93-3"></a>Rcpp::qbeta( q, shape1, shape2, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb93-4"><a href="220_dpqr_functions.html#cb93-4"></a>Rcpp::rbeta( n, shape1, shape2)</span>
<span id="cb93-5"><a href="220_dpqr_functions.html#cb93-5"></a></span>
<span id="cb93-6"><a href="220_dpqr_functions.html#cb93-6"></a>R::dbeta( x, shape1, shape2, log )</span>
<span id="cb93-7"><a href="220_dpqr_functions.html#cb93-7"></a>R::pbeta( x, shape1, shape2, lower, log )</span>
<span id="cb93-8"><a href="220_dpqr_functions.html#cb93-8"></a>R::qbeta( q, shape1, shape2, lower, log )</span>
<span id="cb93-9"><a href="220_dpqr_functions.html#cb93-9"></a>R::rbeta( shape1, shape2 )</span></code></pre></div>
</div>
<div id="noncentral-beta-distribution" class="section level3" number="22.3.6">
<h3><span class="header-section-number">22.3.6</span> Noncentral beta distribution</h3>
<p>These functions provide information about the Noncentral beta distribution with parameters <code>shape1</code> and <code>shape2</code>, noncentrality parameter <code>ncp</code>. These functions are equivalent to setting non 0 value for the noncentrality parameter <code>ncp</code> in the Beta distribution function in R.</p>
<div class="sourceCode" id="cb94"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb94-1"><a href="220_dpqr_functions.html#cb94-1"></a>Rcpp::dnbeta( x, shape1, shape2, ncp, log = <span class="kw">false</span> );</span>
<span id="cb94-2"><a href="220_dpqr_functions.html#cb94-2"></a>Rcpp::pnbeta( x, shape1, shape2, ncp, lower = <span class="kw">true</span>, log = <span class="kw">false</span> );</span>
<span id="cb94-3"><a href="220_dpqr_functions.html#cb94-3"></a>Rcpp::qnbeta( q, shape1, shape2, ncp, lower = <span class="kw">true</span>, log = <span class="kw">false</span> );</span>
<span id="cb94-4"><a href="220_dpqr_functions.html#cb94-4"></a><span class="co">// Rcpp::rnbeta() does not exist</span></span>
<span id="cb94-5"><a href="220_dpqr_functions.html#cb94-5"></a></span>
<span id="cb94-6"><a href="220_dpqr_functions.html#cb94-6"></a>R::dnbeta( x, shape1, shape2, ncp, log )</span>
<span id="cb94-7"><a href="220_dpqr_functions.html#cb94-7"></a>R::pnbeta( x, shape1, shape2, ncp, lower, log )</span>
<span id="cb94-8"><a href="220_dpqr_functions.html#cb94-8"></a>R::qnbeta( q, shape1, shape2, ncp, lower, log )</span>
<span id="cb94-9"><a href="220_dpqr_functions.html#cb94-9"></a>R::rnbeta( shape1, shape2, ncp )</span></code></pre></div>
</div>
<div id="chi-squared-distribution" class="section level3" number="22.3.7">
<h3><span class="header-section-number">22.3.7</span> Chi-squared distribution</h3>
<p>These functions provide information about the Chi-squared distribution with df degrees of freedom <code>df</code>. These functions are equivalent to setting 0 for the noncentrality parameter <code>ncp</code> in the Beta distribution function in R.</p>
<div class="sourceCode" id="cb95"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb95-1"><a href="220_dpqr_functions.html#cb95-1"></a>Rcpp::dchisq( x, df, log = <span class="kw">false</span> )</span>
<span id="cb95-2"><a href="220_dpqr_functions.html#cb95-2"></a>Rcpp::pchisq( x, df, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb95-3"><a href="220_dpqr_functions.html#cb95-3"></a>Rcpp::qchisq( q, df, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb95-4"><a href="220_dpqr_functions.html#cb95-4"></a>Rcpp::rchisq( n, df)</span>
<span id="cb95-5"><a href="220_dpqr_functions.html#cb95-5"></a></span>
<span id="cb95-6"><a href="220_dpqr_functions.html#cb95-6"></a>R::dchisq( x, df, log )</span>
<span id="cb95-7"><a href="220_dpqr_functions.html#cb95-7"></a>R::pchisq( x, df, lower, log )</span>
<span id="cb95-8"><a href="220_dpqr_functions.html#cb95-8"></a>R::qchisq( q, df, lower, log )</span>
<span id="cb95-9"><a href="220_dpqr_functions.html#cb95-9"></a>R::rchisq( df )</span></code></pre></div>
</div>
<div id="noncentral-chi-squared-distribution" class="section level3" number="22.3.8">
<h3><span class="header-section-number">22.3.8</span> Noncentral chi-squared distribution</h3>
<p>These functions provide information about the Noncentral chi-squared distribution with df degrees of freedom <code>df</code> and noncentrality parameter <code>ncp</code>. These functions are equivalent to setting non 0 value for the noncentrality parameter <code>ncp</code> in the Chi-squared distribution function in R.</p>
<div class="sourceCode" id="cb96"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb96-1"><a href="220_dpqr_functions.html#cb96-1"></a>Rcpp::dnchisq( x, df, ncp, log = <span class="kw">false</span> )</span>
<span id="cb96-2"><a href="220_dpqr_functions.html#cb96-2"></a>Rcpp::pnchisq( x, df, ncp, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb96-3"><a href="220_dpqr_functions.html#cb96-3"></a>Rcpp::qnchisq( q, df, ncp, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb96-4"><a href="220_dpqr_functions.html#cb96-4"></a>Rcpp::rnchisq( n, df, ncp = <span class="fl">0.0</span> )</span>
<span id="cb96-5"><a href="220_dpqr_functions.html#cb96-5"></a></span>
<span id="cb96-6"><a href="220_dpqr_functions.html#cb96-6"></a>R::dnchisq( x, df, ncp, log )</span>
<span id="cb96-7"><a href="220_dpqr_functions.html#cb96-7"></a>R::pnchisq( x, df, ncp, lower, log )</span>
<span id="cb96-8"><a href="220_dpqr_functions.html#cb96-8"></a>R::qnchisq( q, df, ncp, lower, log )</span>
<span id="cb96-9"><a href="220_dpqr_functions.html#cb96-9"></a>R::rnchisq( df, ncp )</span></code></pre></div>
</div>
<div id="t-distribution" class="section level3" number="22.3.9">
<h3><span class="header-section-number">22.3.9</span> t-distribution</h3>
<p>These functions provide information about the t-distribution with df degrees of freedom <code>df</code>. These functions are equivalent to setting 0 for the noncentrality parameter <code>ncp</code> in the Beta distribution function in R.</p>
<div class="sourceCode" id="cb97"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb97-1"><a href="220_dpqr_functions.html#cb97-1"></a>Rcpp::dt( x, df, log = <span class="kw">false</span> )</span>
<span id="cb97-2"><a href="220_dpqr_functions.html#cb97-2"></a>Rcpp::pt( x, df, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb97-3"><a href="220_dpqr_functions.html#cb97-3"></a>Rcpp::qt( q, df, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb97-4"><a href="220_dpqr_functions.html#cb97-4"></a>Rcpp::rt( n, df )</span>
<span id="cb97-5"><a href="220_dpqr_functions.html#cb97-5"></a></span>
<span id="cb97-6"><a href="220_dpqr_functions.html#cb97-6"></a>R::dt( x, df, log )</span>
<span id="cb97-7"><a href="220_dpqr_functions.html#cb97-7"></a>R::pt( x, df, lower, log )</span>
<span id="cb97-8"><a href="220_dpqr_functions.html#cb97-8"></a>R::qt( q, df, lower, log )</span>
<span id="cb97-9"><a href="220_dpqr_functions.html#cb97-9"></a>R::rt( df )</span></code></pre></div>
</div>
<div id="noncentral-t-distribution" class="section level3" number="22.3.10">
<h3><span class="header-section-number">22.3.10</span> Noncentral t-distribution</h3>
<p>These functions provide information about the Noncentral t-distribution with df degrees of freedom <code>df</code> and noncentrality parameter <code>ncp</code>. These functions are equivalent to setting non 0 value for the noncentrality parameter <code>ncp</code> in the t-distribution function in R.</p>
<div class="sourceCode" id="cb98"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb98-1"><a href="220_dpqr_functions.html#cb98-1"></a>Rcpp::dnt( x, df, ncp, log = <span class="kw">false</span> )</span>
<span id="cb98-2"><a href="220_dpqr_functions.html#cb98-2"></a>Rcpp::pnt( x, df, ncp, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb98-3"><a href="220_dpqr_functions.html#cb98-3"></a>Rcpp::qnt( q, df, ncp, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb98-4"><a href="220_dpqr_functions.html#cb98-4"></a><span class="co">// Rcpp::rnt() does not exist.</span></span>
<span id="cb98-5"><a href="220_dpqr_functions.html#cb98-5"></a></span>
<span id="cb98-6"><a href="220_dpqr_functions.html#cb98-6"></a>R::dnt( x, df, ncp, log )</span>
<span id="cb98-7"><a href="220_dpqr_functions.html#cb98-7"></a>R::pnt( x, df, ncp, lower, log )</span>
<span id="cb98-8"><a href="220_dpqr_functions.html#cb98-8"></a>R::qnt( q, df, ncp, lower, log )</span>
<span id="cb98-9"><a href="220_dpqr_functions.html#cb98-9"></a><span class="co">// R::rnt() does not exist.</span></span></code></pre></div>
</div>
<div id="f-distribution" class="section level3" number="22.3.11">
<h3><span class="header-section-number">22.3.11</span> F-distribution</h3>
<p>These functions provide information about the F-distribution with df degrees of freedom <code>df1</code> and <code>df2</code>. These functions are equivalent to setting 0 for the noncentrality parameter <code>ncp</code> in the F-distribution function in R.</p>
<div class="sourceCode" id="cb99"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb99-1"><a href="220_dpqr_functions.html#cb99-1"></a>Rcpp::df( x, df1, df2, log = <span class="kw">false</span> )</span>
<span id="cb99-2"><a href="220_dpqr_functions.html#cb99-2"></a>Rcpp::pf( x, df1, df2, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb99-3"><a href="220_dpqr_functions.html#cb99-3"></a>Rcpp::qf( q, df1, df2, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb99-4"><a href="220_dpqr_functions.html#cb99-4"></a>Rcpp::rf( n, df1, df1 )</span>
<span id="cb99-5"><a href="220_dpqr_functions.html#cb99-5"></a></span>
<span id="cb99-6"><a href="220_dpqr_functions.html#cb99-6"></a>R::df( x, df1, df2, log )</span>
<span id="cb99-7"><a href="220_dpqr_functions.html#cb99-7"></a>R::pf( x, df1, df2, lower, log )</span>
<span id="cb99-8"><a href="220_dpqr_functions.html#cb99-8"></a>R::qf( q, df1, df2, lower, log )</span>
<span id="cb99-9"><a href="220_dpqr_functions.html#cb99-9"></a>R::rf( df1, df2 )</span></code></pre></div>
</div>
<div id="noncentral-f-distribution" class="section level3" number="22.3.12">
<h3><span class="header-section-number">22.3.12</span> Noncentral F-distribution</h3>
<p>These functions provide information about the F-distribution with df degrees of freedom <code>df1</code>, <code>df2</code> and noncentrality parameter <code>ncp</code>. These functions are equivalent to setting non 0 value for the noncentrality parameter <code>ncp</code> in the Noncentral F-distribution function in R.</p>
<div class="sourceCode" id="cb100"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb100-1"><a href="220_dpqr_functions.html#cb100-1"></a>Rcpp::dnf( x, df1, df2, ncp, log = <span class="kw">false</span> )</span>
<span id="cb100-2"><a href="220_dpqr_functions.html#cb100-2"></a>Rcpp::pnf( x, df1, df2, ncp, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb100-3"><a href="220_dpqr_functions.html#cb100-3"></a>Rcpp::qnf( q, df1, df2, ncp, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb100-4"><a href="220_dpqr_functions.html#cb100-4"></a><span class="co">// Rcpp::rnf() does not exist.</span></span>
<span id="cb100-5"><a href="220_dpqr_functions.html#cb100-5"></a></span>
<span id="cb100-6"><a href="220_dpqr_functions.html#cb100-6"></a>R::dnf( x, df1, df2, ncp, log )</span>
<span id="cb100-7"><a href="220_dpqr_functions.html#cb100-7"></a>R::pnf( x, df1, df2, ncp, lower, log )</span>
<span id="cb100-8"><a href="220_dpqr_functions.html#cb100-8"></a>R::qnf( q, df1, df2, ncp, lower, log )</span>
<span id="cb100-9"><a href="220_dpqr_functions.html#cb100-9"></a><span class="co">// R::rnf() does not exist.</span></span></code></pre></div>
</div>
<div id="cauchy-distribution" class="section level3" number="22.3.13">
<h3><span class="header-section-number">22.3.13</span> Cauchy distribution</h3>
<p>These functions provide information about the Cauchy distribution with location parameter <code>location</code> and scale parameter <code>scale</code>.</p>
<div class="sourceCode" id="cb101"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb101-1"><a href="220_dpqr_functions.html#cb101-1"></a>Rcpp::dcauchy( x, location = <span class="fl">0.0</span>, scale = <span class="fl">1.0</span>, log = <span class="kw">false</span> )</span>
<span id="cb101-2"><a href="220_dpqr_functions.html#cb101-2"></a>Rcpp::pcauchy( x, location = <span class="fl">0.0</span>, scale = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb101-3"><a href="220_dpqr_functions.html#cb101-3"></a>Rcpp::qcauchy( q, location = <span class="fl">0.0</span>, scale = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb101-4"><a href="220_dpqr_functions.html#cb101-4"></a>Rcpp::rcauchy( n, location = <span class="fl">0.0</span>, scale = <span class="fl">1.0</span>)</span>
<span id="cb101-5"><a href="220_dpqr_functions.html#cb101-5"></a></span>
<span id="cb101-6"><a href="220_dpqr_functions.html#cb101-6"></a>R::dcauchy( x, location, scale, log )</span>
<span id="cb101-7"><a href="220_dpqr_functions.html#cb101-7"></a>R::pcauchy( x, location, scale, lower, log )</span>
<span id="cb101-8"><a href="220_dpqr_functions.html#cb101-8"></a>R::qcauchy( q, location, scale, lower, log )</span>
<span id="cb101-9"><a href="220_dpqr_functions.html#cb101-9"></a>R::rcauchy( location, scale )</span></code></pre></div>
</div>
<div id="exponential-distribution" class="section level3" number="22.3.14">
<h3><span class="header-section-number">22.3.14</span> Exponential distribution</h3>
<p>These functions provide information about the Exponential distribution with rate <code>rate</code> (The mean of Exponential distribution equals to 1/rate).</p>
<div class="sourceCode" id="cb102"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb102-1"><a href="220_dpqr_functions.html#cb102-1"></a>Rcpp::dexp( x, rate = <span class="fl">1.0</span>, log = <span class="kw">false</span> )</span>
<span id="cb102-2"><a href="220_dpqr_functions.html#cb102-2"></a>Rcpp::pexp( x, rate = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb102-3"><a href="220_dpqr_functions.html#cb102-3"></a>Rcpp::qexp( q, rate = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb102-4"><a href="220_dpqr_functions.html#cb102-4"></a>Rcpp::rexp( n, rate = <span class="fl">1.0</span>)</span>
<span id="cb102-5"><a href="220_dpqr_functions.html#cb102-5"></a></span>
<span id="cb102-6"><a href="220_dpqr_functions.html#cb102-6"></a><span class="co">// The R namespace version are parameterised in terms of the scale (=1/rate)</span></span>
<span id="cb102-7"><a href="220_dpqr_functions.html#cb102-7"></a>R::dexp( x, scale, log )</span>
<span id="cb102-8"><a href="220_dpqr_functions.html#cb102-8"></a>R::pexp( x, scale, lower, log )</span>
<span id="cb102-9"><a href="220_dpqr_functions.html#cb102-9"></a>R::qexp( q, scale, lower, log )</span>
<span id="cb102-10"><a href="220_dpqr_functions.html#cb102-10"></a>R::rexp( scale )</span></code></pre></div>
</div>
<div id="logistic-distribution" class="section level3" number="22.3.15">
<h3><span class="header-section-number">22.3.15</span> Logistic distribution</h3>
<p>These functions provide information about the Logistic distribution with parameters <code>location</code> and <code>scale</code>.</p>
<div class="sourceCode" id="cb103"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb103-1"><a href="220_dpqr_functions.html#cb103-1"></a>Rcpp::dlogis( x, location = <span class="fl">0.0</span>, scale = <span class="fl">1.0</span>, log = <span class="kw">false</span> )</span>
<span id="cb103-2"><a href="220_dpqr_functions.html#cb103-2"></a>Rcpp::plogis( x, location = <span class="fl">0.0</span>, scale = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb103-3"><a href="220_dpqr_functions.html#cb103-3"></a>Rcpp::qlogis( q, location = <span class="fl">0.0</span>, scale = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb103-4"><a href="220_dpqr_functions.html#cb103-4"></a>Rcpp::rlogis( n, location = <span class="fl">0.0</span>, scale = <span class="fl">1.0</span> )</span>
<span id="cb103-5"><a href="220_dpqr_functions.html#cb103-5"></a></span>
<span id="cb103-6"><a href="220_dpqr_functions.html#cb103-6"></a>R::dlogis( x, location, scale, log )</span>
<span id="cb103-7"><a href="220_dpqr_functions.html#cb103-7"></a>R::plogis( x, location, scale, lower, log )</span>
<span id="cb103-8"><a href="220_dpqr_functions.html#cb103-8"></a>R::qlogis( q, location, scale, lower, log )</span>
<span id="cb103-9"><a href="220_dpqr_functions.html#cb103-9"></a>R::rlogis( location, scale )</span></code></pre></div>
</div>
<div id="weibull-distribution" class="section level3" number="22.3.16">
<h3><span class="header-section-number">22.3.16</span> Weibull distribution</h3>
<p>These functions provide information about the Weibull distribution with parameters <code>shape</code> and <code>scale</code>.</p>
<div class="sourceCode" id="cb104"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb104-1"><a href="220_dpqr_functions.html#cb104-1"></a>Rcpp::dweibull( x, shape, scale = <span class="fl">1.0</span>, log = <span class="kw">false</span> )</span>
<span id="cb104-2"><a href="220_dpqr_functions.html#cb104-2"></a>Rcpp::pweibull( x, shape, scale = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb104-3"><a href="220_dpqr_functions.html#cb104-3"></a>Rcpp::qweibull( q, shape, scale = <span class="fl">1.0</span>, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb104-4"><a href="220_dpqr_functions.html#cb104-4"></a>Rcpp::rweibull( n, shape, scale = <span class="fl">1.0</span> )</span>
<span id="cb104-5"><a href="220_dpqr_functions.html#cb104-5"></a></span>
<span id="cb104-6"><a href="220_dpqr_functions.html#cb104-6"></a>R::dweibull( x, shape, scale, log )</span>
<span id="cb104-7"><a href="220_dpqr_functions.html#cb104-7"></a>R::pweibull( x, shape, scale, lower, log )</span>
<span id="cb104-8"><a href="220_dpqr_functions.html#cb104-8"></a>R::qweibull( q, shape, scale, lower, log )</span>
<span id="cb104-9"><a href="220_dpqr_functions.html#cb104-9"></a>R::rweibull( shape, scale )</span></code></pre></div>
</div>
</div>
<div id="discrete-probability-distribution-1" class="section level2" number="22.4">
<h2><span class="header-section-number">22.4</span> Discrete probability distribution</h2>
<div id="binomial-distribution" class="section level3" number="22.4.1">
<h3><span class="header-section-number">22.4.1</span> Binomial distribution</h3>
<p>These functions provide information about the Binomial distribution with number of trials <code>size</code> and success probability <code>prob</code>.</p>
<div class="sourceCode" id="cb105"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb105-1"><a href="220_dpqr_functions.html#cb105-1"></a>Rcpp::dbinom( x, size, prob, log = <span class="kw">false</span> )</span>
<span id="cb105-2"><a href="220_dpqr_functions.html#cb105-2"></a>Rcpp::pbinom( x, size, prob, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb105-3"><a href="220_dpqr_functions.html#cb105-3"></a>Rcpp::qbinom( q, size, prob, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb105-4"><a href="220_dpqr_functions.html#cb105-4"></a>Rcpp::rbinom( n, size, prob )</span>
<span id="cb105-5"><a href="220_dpqr_functions.html#cb105-5"></a></span>
<span id="cb105-6"><a href="220_dpqr_functions.html#cb105-6"></a>R::dbinom( x, size, prob, log )</span>
<span id="cb105-7"><a href="220_dpqr_functions.html#cb105-7"></a>R::pbinom( x, size, prob, lower, log )</span>
<span id="cb105-8"><a href="220_dpqr_functions.html#cb105-8"></a>R::qbinom( q, size, prob, lower, log )</span>
<span id="cb105-9"><a href="220_dpqr_functions.html#cb105-9"></a>R::rbinom( size, prob )</span></code></pre></div>
</div>
<div id="negative-binomial-distribution-with-success-probability-as-parameter" class="section level3" number="22.4.2">
<h3><span class="header-section-number">22.4.2</span> Negative binomial distribution (with success probability as parameter)</h3>
<p>These functions provide information about the Negative binomial distribution with number of success <code>size</code> and success probability <code>prob</code>.</p>
<div class="sourceCode" id="cb106"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb106-1"><a href="220_dpqr_functions.html#cb106-1"></a>Rcpp::dnbinom( x, size, prob, log = <span class="kw">false</span> )</span>
<span id="cb106-2"><a href="220_dpqr_functions.html#cb106-2"></a>Rcpp::pnbinom( x, size, prob, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb106-3"><a href="220_dpqr_functions.html#cb106-3"></a>Rcpp::qnbinom( q, size, prob, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb106-4"><a href="220_dpqr_functions.html#cb106-4"></a>Rcpp::rnbinom( n, size, prob )</span>
<span id="cb106-5"><a href="220_dpqr_functions.html#cb106-5"></a></span>
<span id="cb106-6"><a href="220_dpqr_functions.html#cb106-6"></a>R::dnbinom( x, size, prob, log )</span>
<span id="cb106-7"><a href="220_dpqr_functions.html#cb106-7"></a>R::pnbinom( x, size, prob, lower, log )</span>
<span id="cb106-8"><a href="220_dpqr_functions.html#cb106-8"></a>R::qnbinom( q, size, prob, lower, log )</span>
<span id="cb106-9"><a href="220_dpqr_functions.html#cb106-9"></a>R::rnbinom( size, prob )</span></code></pre></div>
</div>
<div id="negative-binomial-distribution-with-mean-as-parameter" class="section level3" number="22.4.3">
<h3><span class="header-section-number">22.4.3</span> Negative binomial distribution (with mean as parameter)</h3>
<p>These functions provide information about the Negative binomial distribution with number of success <code>size</code> and mean <code>mu</code>.</p>
<div class="sourceCode" id="cb107"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb107-1"><a href="220_dpqr_functions.html#cb107-1"></a>Rcpp::dnbinom_mu( x, size, mu, log = <span class="kw">false</span> )</span>
<span id="cb107-2"><a href="220_dpqr_functions.html#cb107-2"></a>Rcpp::pnbinom_mu( x, size, mu, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb107-3"><a href="220_dpqr_functions.html#cb107-3"></a>Rcpp::qnbinom_mu( q, size, mu, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb107-4"><a href="220_dpqr_functions.html#cb107-4"></a>Rcpp::rnbinom_mu( n, size, mu )</span>
<span id="cb107-5"><a href="220_dpqr_functions.html#cb107-5"></a></span>
<span id="cb107-6"><a href="220_dpqr_functions.html#cb107-6"></a>R::dnbinom_mu( x, size, mu, log )</span>
<span id="cb107-7"><a href="220_dpqr_functions.html#cb107-7"></a>R::pnbinom_mu( x, size, mu, lower, log )</span>
<span id="cb107-8"><a href="220_dpqr_functions.html#cb107-8"></a>R::qnbinom_mu( q, size, mu, lower, log )</span>
<span id="cb107-9"><a href="220_dpqr_functions.html#cb107-9"></a>R::rnbinom_mu( size, mu )</span></code></pre></div>
</div>
<div id="poisson-distribution" class="section level3" number="22.4.4">
<h3><span class="header-section-number">22.4.4</span> Poisson distribution</h3>
<p>These functions provide information about the Poisson distribution with mean and variance are equal to <code>lambda</code>.</p>
<div class="sourceCode" id="cb108"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb108-1"><a href="220_dpqr_functions.html#cb108-1"></a>Rcpp::dpois( x, lambda, log = <span class="kw">false</span> )</span>
<span id="cb108-2"><a href="220_dpqr_functions.html#cb108-2"></a>Rcpp::ppois( x, lambda, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb108-3"><a href="220_dpqr_functions.html#cb108-3"></a>Rcpp::qpois( q, lambda, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb108-4"><a href="220_dpqr_functions.html#cb108-4"></a>Rcpp::rpois( n, lambda )</span>
<span id="cb108-5"><a href="220_dpqr_functions.html#cb108-5"></a></span>
<span id="cb108-6"><a href="220_dpqr_functions.html#cb108-6"></a>R::dpois( x, lambda, log )</span>
<span id="cb108-7"><a href="220_dpqr_functions.html#cb108-7"></a>R::ppois( x, lambda, lower, log )</span>
<span id="cb108-8"><a href="220_dpqr_functions.html#cb108-8"></a>R::qpois( q, lambda, lower, log )</span>
<span id="cb108-9"><a href="220_dpqr_functions.html#cb108-9"></a>R::rpois( lambda )</span></code></pre></div>
</div>
<div id="geometric-distribution" class="section level3" number="22.4.5">
<h3><span class="header-section-number">22.4.5</span> Geometric distribution</h3>
<p>These functions provide information about the Geometric distribution with success probability <code>prob</code>.</p>
<div class="sourceCode" id="cb109"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb109-1"><a href="220_dpqr_functions.html#cb109-1"></a>Rcpp::dgeom( x, prob, log = <span class="kw">false</span> )</span>
<span id="cb109-2"><a href="220_dpqr_functions.html#cb109-2"></a>Rcpp::pgeom( x, prob, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb109-3"><a href="220_dpqr_functions.html#cb109-3"></a>Rcpp::qgeom( q, prob, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb109-4"><a href="220_dpqr_functions.html#cb109-4"></a>Rcpp::rgeom( n, prob )</span>
<span id="cb109-5"><a href="220_dpqr_functions.html#cb109-5"></a></span>
<span id="cb109-6"><a href="220_dpqr_functions.html#cb109-6"></a>R::dgeom( x, prob, log )</span>
<span id="cb109-7"><a href="220_dpqr_functions.html#cb109-7"></a>R::pgeom( x, prob, lower, log )</span>
<span id="cb109-8"><a href="220_dpqr_functions.html#cb109-8"></a>R::qgeom( q, prob, lower, log )</span>
<span id="cb109-9"><a href="220_dpqr_functions.html#cb109-9"></a>R::rgeom( prob )</span></code></pre></div>
</div>
<div id="hypergeometric-distribution" class="section level3" number="22.4.6">
<h3><span class="header-section-number">22.4.6</span> Hypergeometric distribution</h3>
<p>These functions provide information about the Hypergeometric distribution with number of success in the population <code>m</code> , number of failure in the population <code>n</code>, number of sample from the population <code>k</code>.</p>
<div class="sourceCode" id="cb110"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb110-1"><a href="220_dpqr_functions.html#cb110-1"></a>Rcpp::dhyper( x, m, n, k, log = <span class="kw">false</span> )</span>
<span id="cb110-2"><a href="220_dpqr_functions.html#cb110-2"></a>Rcpp::phyper( x, m, n, k, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb110-3"><a href="220_dpqr_functions.html#cb110-3"></a>Rcpp::qhyper( q, m, n, k, lower = <span class="kw">true</span>, log = <span class="kw">false</span> )</span>
<span id="cb110-4"><a href="220_dpqr_functions.html#cb110-4"></a>Rcpp::rhyper(nn, m, n, k )</span>
<span id="cb110-5"><a href="220_dpqr_functions.html#cb110-5"></a></span>
<span id="cb110-6"><a href="220_dpqr_functions.html#cb110-6"></a>R::dhyper( x, m, n, k, log )</span>
<span id="cb110-7"><a href="220_dpqr_functions.html#cb110-7"></a>R::phyper( x, m, n, k, lower, log )</span>
<span id="cb110-8"><a href="220_dpqr_functions.html#cb110-8"></a>R::qhyper( q, m, n, k, lower, log )</span>
<span id="cb110-9"><a href="220_dpqr_functions.html#cb110-9"></a>R::rhyper( m, n, k )</span></code></pre></div>
</div>
<div id="distribution-of-wilcoxon-rank-sum-test-statistic" class="section level3" number="22.4.7">
<h3><span class="header-section-number">22.4.7</span> Distribution of Wilcoxon rank-sum test statistic</h3>
<p>These functions provide information about the distribution of test statistic when Wilcoxon rank-sum test (Mann–Whitney U test) is performed on two specimens with number of samples <code>m</code> and <code>n</code> respectively.</p>
<div class="sourceCode" id="cb111"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb111-1"><a href="220_dpqr_functions.html#cb111-1"></a><span class="co">// Rcpp::dwilcox() does not exist.</span></span>
<span id="cb111-2"><a href="220_dpqr_functions.html#cb111-2"></a><span class="co">// Rcpp::pwilcox() does not exist.</span></span>
<span id="cb111-3"><a href="220_dpqr_functions.html#cb111-3"></a><span class="co">// Rcpp::qwilcox() does not exist.</span></span>
<span id="cb111-4"><a href="220_dpqr_functions.html#cb111-4"></a>Rcpp::rwilcox( nn, m, n );</span>
<span id="cb111-5"><a href="220_dpqr_functions.html#cb111-5"></a></span>
<span id="cb111-6"><a href="220_dpqr_functions.html#cb111-6"></a>R::dwilcox( x, m, n, log )</span>
<span id="cb111-7"><a href="220_dpqr_functions.html#cb111-7"></a>R::pwilcox( x, m, n, lower, log )</span>
<span id="cb111-8"><a href="220_dpqr_functions.html#cb111-8"></a>R::qwilcox( q, m, n, lower, log )</span>
<span id="cb111-9"><a href="220_dpqr_functions.html#cb111-9"></a>R::rwilcox( m, n )</span></code></pre></div>
</div>
<div id="distribution-of-wilcoxon-signed-rank-test-statistic" class="section level3" number="22.4.8">
<h3><span class="header-section-number">22.4.8</span> Distribution of Wilcoxon signed-rank test statistic</h3>
<p>These functions provide information about the distribution of test statistic when Wilcoxon signed-rank test is performed with number of samples <code>n</code>.</p>
<div class="sourceCode" id="cb112"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb112-1"><a href="220_dpqr_functions.html#cb112-1"></a><span class="co">// Rcpp::dsignrank() does not exist.</span></span>
<span id="cb112-2"><a href="220_dpqr_functions.html#cb112-2"></a><span class="co">// Rcpp::psignrank() does not exist.</span></span>
<span id="cb112-3"><a href="220_dpqr_functions.html#cb112-3"></a><span class="co">// Rcpp::qsignrank() does not exist.</span></span>
<span id="cb112-4"><a href="220_dpqr_functions.html#cb112-4"></a>Rcpp::rsignrank( nn, n )</span>
<span id="cb112-5"><a href="220_dpqr_functions.html#cb112-5"></a></span>
<span id="cb112-6"><a href="220_dpqr_functions.html#cb112-6"></a>R::dsignrank( x, n, log )</span>
<span id="cb112-7"><a href="220_dpqr_functions.html#cb112-7"></a>R::psignrank( x, n, lower, log )</span>
<span id="cb112-8"><a href="220_dpqr_functions.html#cb112-8"></a>R::qsignrank( q, n, lower, log )</span>
<span id="cb112-9"><a href="220_dpqr_functions.html#cb112-9"></a>R::rsignrank( n )</span></code></pre></div>
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