Please do not forget to cite the package as follows:

Plain text:

Mati S. (2023). URooTab: Tabular Reporting of 'EViews' Unit Root Tests. CRAN, https://github.com/sagirumati/URooTab

Bibtex:

  @Manual{Mati2023,
    title = {{URooTab}: Tabular Reporting of {EViews} Unit Root Tests},
    author = {Sagiru Mati},
    publisher = {CRAN},
    url = {https://github.com/sagirumati/URooTab},
  }

The author of this package, Sagiru Mati, obtained his PhD in Economics from the Near East University, North Cyprus. He works at the Department of Economics, Yusuf Maitama Sule (Northwest) University, Kano, Nigeria. Please visit his website for more details.

Please follow his publications on:

Google Scholar

ResearchGate

Web of Science

ORCID: 0000-0003-1413-3974

URooTab is an R package that can conducts EViews unit root tests and report them in tabular form.

While there are R packages and EViews add-ins available for presenting unit root tests in tabular form, none of them incorporates EViews procedures within the R environment. Specifically:

• I wish I could conduct unit root using EViews routines in R, R Markdown or Quarto document

• I wish I could dynamically import the results of the unit root tests individually or at once into R, R Markdown or Quarto document without switching between these applications back and forth.

• I wish I could use an R function to report unit root test in a table style suitable for publication.

• I wish I could automatically format the table in Latex, html, pandoc and markdown.

• I wish I could do all of the above from R, R Markdown or Quarto without opening the EViews!!!

URooTab can be installed using the following commands in R.

install.packages("URooTab")
OR
devtools::install_github("sagirumati/URooTab")

To run the package successfully, you need to do one of the following

• Add EViews installation folder to path (Environment Variables).

• Don’t do anything if the name of EViews executable is one of the following: EViews13_x64, EViews13_x86, EViews12_x64, EViews12_x86, EViews11_x64, EViews11_x86, EViews10_x64, EViews10_x86, EViews9_x64, EViews9_x86, EViews10. The package will find the executable automatically.

• Rename the Eviews executable to eviews or one of the names above.

• Alternatively, you can use set_eviews_path() function to set the path the EViews executable as follows:

library(EviewR)
set_eviews_path("C:/Program Files (x86)/EViews 10/EViews10.exe")

Please load the URooTab package as follows:

```{r}                                                                .
library(URooTab)
```

The package can work with base R, R Markdown or Quarto document. The package has been used by Mati, Civcir, and Ozdeser (2019), Mati (2021), Mati et al. (2023), Mati, Civcir, and Özdeşer (2023) and Mati, Civcir, and Ozdeser (2019).

You can use URooTab in an R chunk in R Markdown or Quarto document:

The uroot() function reports all the available test (ADF and PP) at once. It is more suitable for Quarto document, which has both tbl-cap and tbl-subcap chunk options.

To produce Table 8.1, use the R chunk below:

Notice the chunk option results: asis because uroot() is designed to print all the tables (ADF and PP) in the chunk. If you are producing multiple kable tables, results: asis is necessary. You can also use kableExtra package to further customise the table.

```{r}
#| label: URooTab
#| eval: true
#| results: asis
    
library(URooTab)
set.seed(1234) # for reproducibility
x=rnorm(100)
y=cumsum(x)
z=cumsum(y)

dataFrame=data.frame(x,y,z)
uroot(dataFrame, caption = "Unit Root Tests for x, y and Z")
```

Table 8.1: Unit Root Tests for x, y and Z

Table 8.1: Unit Root Tests for x, y and Z

In R Markdown or Quarto document, URooTab is smart enough to recognise the document format and select the suitable table format.

In base R, you can get the table printed in console in the format you specify by the format argument.

We can create a dataframe as follows:

library(URooTab)
set.seed(1234)  # for reproducibility
x = rnorm(100)
y = cumsum(x)
z = cumsum(y)
dataFrame = data.frame(x, y, z)

To print ADF test results in latex format:

adf(dataFrame, format = "latex", info = "aic", caption = "ADF Unit Root Tests for x, y and Z")

Or

uroot(dataFrame, format = "latex", test = "adf", info = "aic",
    caption = "ADF Unit Root Tests for x, y and Z")

The above code produces the following latex code:

\begin{table}[h]

\caption{ADF Unit Root Tests for x, y and Z}
\centering
\begin{tabular}[t]{llllllll}
\toprule
Variables & None & Constant & Constant and trend & None & Constant & Constant and trend & Decision\\
\midrule
X & -8.300*** & -8.396*** & -8.815*** & -7.494*** & -7.460*** & -7.445*** & I(0)\\
Y & 0.224 & -1.934 & 0.026 & -8.148*** & -8.259*** & -8.721*** & I(1)\\
Z & -2.379** & -2.084 & -2.938 & 0.233 & -2.221 & -0.033 & I(2)\\
\bottomrule
\end{tabular}
\end{table}

To print PP test results in html format:

pp(dataFrame, format = "html", info = "aic", caption = "PP Unit Root Tests for x, y and Z")

Or

uroot(dataFrame, format = "html", info = "aic", test = "pp",
    caption = "PP Unit Root Tests for x, y and Z")

The above code produces the following html codes in console:

<table>
<caption>PP Unit Root Tests for x, y and Z</caption>
 <thead>
  <tr>
   <th style="text-align:left;"> Variables </th>
   <th style="text-align:left;"> None </th>
   <th style="text-align:left;"> Constant </th>
   <th style="text-align:left;"> Constant and trend </th>
   <th style="text-align:left;"> None </th>
   <th style="text-align:left;"> Constant </th>
   <th style="text-align:left;"> Constant and trend </th>
   <th style="text-align:left;"> Decision </th>
  </tr>
 </thead>
<tbody>
  <tr>
   <td style="text-align:left;"> X </td>
   <td style="text-align:left;"> -8.327*** </td>
   <td style="text-align:left;"> -8.418*** </td>
   <td style="text-align:left;"> -8.815*** </td>
   <td style="text-align:left;"> -42.502*** </td>
   <td style="text-align:left;"> -51.961*** </td>
   <td style="text-align:left;"> -74.206*** </td>
   <td style="text-align:left;"> I(0) </td>
  </tr>
  <tr>
   <td style="text-align:left;"> Y </td>
   <td style="text-align:left;"> 0.275 </td>
   <td style="text-align:left;"> -1.857 </td>
   <td style="text-align:left;"> -0.066 </td>
   <td style="text-align:left;"> -8.170*** </td>
   <td style="text-align:left;"> -8.275*** </td>
   <td style="text-align:left;"> -8.721*** </td>
   <td style="text-align:left;"> I(1) </td>
  </tr>
  <tr>
   <td style="text-align:left;"> Z </td>
   <td style="text-align:left;"> 6.659 </td>
   <td style="text-align:left;"> 3.450 </td>
   <td style="text-align:left;"> -3.516** </td>
   <td style="text-align:left;"> 0.274 </td>
   <td style="text-align:left;"> -1.956 </td>
   <td style="text-align:left;"> -0.109 </td>
   <td style="text-align:left;"> I(2) </td>
  </tr>
</tbody>
</table>

The uroot() function is a generic function that can be used to conduct any unit root test. Setting test="adf" conducts ADF test, while test="pp" conducts PP test. If test argument is not specified, the uroot() function conducts all the test at once.

Similar packages include DynareR (Mati 2020a, 2022a), gretlR (Mati 2020c, 2022c), and EviewsR (Mati 2022b, 2020b; Mati, Civcir, and Abba 2023)

For further details, consult Mati (2023b) and Mati (2023a).

Mati, Sagiru. 2020a. “DynareR: Bringing the Power of Dynare to R, R Markdown, and Quarto.” CRAN. https://CRAN.R-project.org/package=DynareR.

———. 2020b. EviewsR: A Seamless Integration of EViews and R. https://CRAN.R-project.org/package=EviewsR.

———. 2020c. gretlR: A Seamless Integration of Gretl and R. https://CRAN.R-project.org/package=gretlR.

———. 2021. “Do as Your Neighbours Do? Assessing the Impact of Lockdown and Reopening on the Active COVID-19 Cases in Nigeria.” Social Science &Amp; Medicine 270 (February): 113645. https://doi.org/10.1016/j.socscimed.2020.113645.

———. 2022a. “Package ‘DynareR’.” https://cran.r-project.org/web/packages/DynareR/DynareR.pdf.

———. 2022b. “Package ‘EviewsR’.” https://cran.r-project.org/web/packages/EviewsR/EviewsR.pdf.

———. 2022c. “Package ‘gretlR’.” https://cran.r-project.org/web/packages/gretlR/gretlR.pdf.

———. 2023a. “Package ‘URooTab’.” https://cran.r-project.org/web/packages/URooTab/URooTab.pdf.

———. 2023b. URooTab: Tabular Reporting of EViews Unit Root Tests. https://github.com/sagirumati/URooTab.

Mati, Sagiru, Irfan Civcir, and S. I. Abba. 2023. “EviewsR: An r Package for Dynamic and Reproducible Research Using EViews, r, r Markdown and Quarto.” The R Journal 15 (2): 169–205. https://doi.org/10.32614/rj-2023-045.

Mati, Sagiru, Irfan Civcir, and Hüseyin Ozdeser. 2019. “ECOWAS COMMON CURRENCY: HOW PREPARED ARE ITS MEMBERS?” Investigación Económica 78 (308): 89. https://doi.org/10.22201/fe.01851667p.2019.308.69625.

Mati, Sagiru, Irfan Civcir, and Hüseyin Özdeşer. 2023. “ECOWAS Common Currency, a Mirage or Possibility?” Panoeconomicus 70 (2): 239–60. https://doi.org/10.2298/pan191119015m.

Mati, Sagiru, Magdalena Radulescu, Najia Saqib, Ahmed Samour, Goran Yousif Ismael, and Nazifi Aliyu. 2023. “Incorporating Russo-Ukrainian War in Brent Crude Oil Price Forecasting: A Comparative Analysis of ARIMA, TARMA and ENNReg Models.” Heliyon 9 (11): e21439. https://doi.org/10.1016/j.heliyon.2023.e21439.