In this vignette, we will create a log with axecute()
while using the tidylog package. The goal of
tidylog is to provide feedback about dplyr
and tidyr operations. tidylog provides
simple wrapper functions that provide feedback for almost all
dplyr and tidyr functions, such as
filter, mutate, select,
full_join, and group_by.
Using logrx we will now capture this feedback on
dplyr and tidyr functions and place it
into the Messages, Output, and Result of our
logrx log file. We will look at two cases in this
vignette.
Logging a simple script with {logrx} and
{tidylog}
Below we have a simple script using the us_rent_income
dataset. We will explore just a few functions available in
tidyr and dplyr: pivot_wider,
arrange, distinct, bind_cols and
left_join.
Using axecute(ex1_tidylog.R) we produce a log file.
Below we snapshot just the pertinent information for users interested in
the tidylog feedback. This feedback is placed by the
logrx package into the
Messages, Output, and Result section of the log.
Logging an ADSL script with {logrx} and
{tidylog}
Now we use an R script that creates an ADSL dataset and
get a log file. This file was generated using the admiral
package for creating ADaM datasets. We can quickly generate this file by
using the following command
admiral::use_ad_template("adsl").
Feel free to explore the script. The next section showcases the
output for the log file after we have used axecute on the
script.
We only showcase the feedback in the script relevant to our
discussion on tidylog. Again, the logrx
package places feedback from tidylog into the
Messages, Output, and Resultsection of the log file.
Success!! We just axecuted two scripts using
logrx and tidylog. Remember that feedback
from tidylog is placed into the
Messages, Output, and Result section of the log file.