This library mainly contains wrapper code that calls ggplot2 & fitdistr(plus) to save time writing code & making histograms (hist_fancy) and QQ-plots (qqplot_fancy).
This is mainly for plotting multiple histograms quickly, although you can make pretty looking this way.
Example:
hist_fancy(x = rnorm(100, 1),
y = rnorm(100, 4),
alpha = 0.7,
main = "Histogram",
xlab = "Variables")
This function plots a best fitting QQ-plot to the data using ggplot2 and using parameters from fitdistr(plus & actuar).
Defaults:
The dist = is set to "normal" by default. You may specify either:
- Another sample.
qqplot_fancywill convert this to a same-length "Theoretical/Model" vector usingquantile(..., ppoints(...)). - A string containing a distribution to fit. Can be one of beta, exponential, gamma, log-normal, lognormal, normal, pareto, t or weibull.
The color can be manually set by
col =; this uses the same code ashist_fancy.
Example:
qqplot_fancy(rnorm(100))
qqplot_fancy(rexp(100), "exponential")
qqplot_fancy(rexp(100), rexp(95))
The code is a nightmare inducing hell that's being cleaned up.
Tells you if a vector of numbers is even or not. Example:
is.even(1:5)
## [1] FALSE TRUE FALSE TRUE FALSE
is.even(1:10, n = TRUE)
## [1] 2 4 6 8 10
is.odd(1:5)
## [1] TRUE FALSE TRUE FALSE TRUE
is.odd(1:10, T)
## [1] 1 3 5 7 9
Returns a vector of strings representing color hashes based on the ggplot2 color wheel.
The code was taken from: https://stackoverflow.com/questions/8197559/emulate-ggplot2-default-color-palette Credits go to Colby, Hadley & zx8754.
Example:
cols <- ggcols(100)
# Display cols on a plot to get:
This plots a graph in the command line (without calling the GUI plotter). Set the width (number of bins) using plot.size = (default is 10). X represents lots of mass in an area, x represents a little lower mass and . represents a little non-zero mass.
clplot(iris$Sepal.Length, iris$Petal.Length) 4.3 4.6 4.8 5.1 5.3 5.6 5.8 6.1 6.4 6.6 6.9 7.1 7.4 7.6 7.9
6.9 . .
6.5 . .
6.1 . . . . . .
5.6 . . . x
5.2 . . . . . .
4.8 . . x . . . .
4.4 . . . . . . . .
4 . . . . .
3.5 . . .
3.1 . .
2.7
2.3
1.8 . .
1.4 . . X X x .
1 . . . . . This imitates Python's comma assignment syntax (because I'm a nutcase):
"a, b" %=% "1, 2"
## ...
# a
## 1
# b
## 2