Sagiru Mati (PhD)

gretlR is an R package that can run gretl program from R Markdown.

gretlR can be installed using the following commands in R.

install.packages("gretlR")

          OR
          
devtools::install_github('sagirumati/gretlR')

Please load the gretlR package as follows:

```{r gretlR}                                                             
library(gretlR)
```

Then create a chunk for gretl as shown below:

```{gretl gretlR,eval=T,echo=T,comment=NULL} 
nulldata 500
set seed 13
gretl1 = normal()
gretl2 = normal()
setobs 12 1980:01 --time-series
gnuplot gretl1 --time-series --with-lines --output="line.png"
gnuplot gretl2 gretl1 --output="scatter.png"
ols gretl1 const gretl2
modeltab add
tabprint --output="olsTAble.Rmd"
tabprint --output="olsTable.tex"
tabprint --output="olsTAble.csv"
eqnprint --output="olsEquation.tex"
```  

The above chunk creates a gretl program with the chunk’s content, then automatically run the gretl script, which will save gretl outputs in the new folder gretlR created in the current working directory.

We can dynamically and reproducibly fetch the gretl graph object we created with the gretl chunk using the following R chunk:

For the scatter graph:

include_graph(chunk = "gretlR",graph = "scatter.png")

or the line graph:

include_graph(chunk = "gretlR",graph = "line.png")

we can also include the equation of the OLS generated by the gretl chunk and save as olsEquation.tex.

If the output is pdf, one can use the raw LaTeX codes as follows:

\input{gretlr/gretlR/olsEquation.tex}

Or use include_tex function to include the equation as shown below:

include_tex(chunk = "gretlR",tex = "olsEquation")

include_tex(chunk = "gretlR",tex = "olsTAble",start = 7,end = 24)

The OLS table output is saved by the gretl chunk as olsTable.Rmd. The entire OLS table output can included as child document as follows:

```{r child, child='gretlr/gretlR/olsTable.Rmd'} 

```

The gretl chunk also saves the OSL table as olsTable.csv. The import_kable function can be used to import it as a table. further customisation can be done with kableExtra package.

import_kable(chunk = "gretlR",file = "olsTAble.csv",caption="Table generated from gretl 
             chunk", start=3,end=7,digits=2) |> 
kableExtra::kable_styling(latex_options = c("basic","hold_position","scale_down")) |> 
 kableExtra::row_spec(0,bold=T)

This function writes gretl file.

code=r'(nulldata 500
set seed 13
gretl1 = normal()
gretl2 = normal()
setobs 12 1980:01 --time-series
gnuplot gretl1 --time-series --with-lines --output="line.png"
gnuplot gretl2 gretl1 --output="scatter.png"
)'

write_inp(code,path="gretlCodes")

This function executes existing gretl files.

code=r'(nulldata 500
set seed 13
gretl1 = normal()
gretl2 = normal()
setobs 12 1980:01 --time-series
gnuplot gretl1 --time-series --with-lines --output="line.png"
gnuplot gretl2 gretl1 --output="scatter.png"
 )'
write_inp(code,path="SomeFolder/gretlCodes")
exec_inp("someFolder/gretlCodes")

This function creates gretlfile from R object or a set of character strings and executes it. It is a combination of write_inp and exec_inp functions.

code=r'(nulldata 500
set seed 13
gretl1 = normal()
gretl2 = normal()
setobs 12 1980:01 --time-series
gnuplot gretl1 --time-series --with-lines --output="line.png"
gnuplot gretl2 gretl1 --output="scatter.png"
 )'
exec_gretl(code)

Demo can be accessed via demo(package="gretlR").

demo(exec_inp) 
demo(write_inp)
demo(exec_gretl)

The R Markdown template for the gretlR can be accessed via file -> New File -> R Markdown -> From Template -> gretlR

Please download a set of example files from Github.