I need to document R code/console similar to a SAS log -

i work research department tired of paying half million year sas. r/sas dual user in department, have been tasked leading transition. of our analysts have been sports it, going more smoothly i'd thought.

but need way log our programs documentation purposes, similar did sas. logs need have simple metrics in them, number of observations when merging data, warnings/errors, output well.

some of stuff output in console , can sink() save thing, there lot isn't output. can add code programs document these things -- nrows() before/after merging, example --, want make easier analysts.

can point me in direction more output more detailed log r? package or function i've never heard of?

thanks.

you might want consider converting scripts rmarkdown files. compiling rmarkdown files can yield log files more potent plain text files.

glimpse() dplyr() package useful quick view on content of dataframe. str() gives similar output dataframes , works on other classes too.

library(dplyr) glimpse(mtcars)  observations: 32 variables: 11 $ mpg  (dbl) 21.0, 21.0, 22.8, 21.4, 18.7, 18.1, 14.3, 24.4, 22.8, 19.2, 17.8, 16.4, 1... $ cyl  (dbl) 6, 6, 4, 6, 8, 6, 8, 4, 4, 6, 6, 8, 8, 8, 8, 8, 8, 4, 4, 4, 4, 8, 8, 8, 8... $ disp (dbl) 160.0, 160.0, 108.0, 258.0, 360.0, 225.0, 360.0, 146.7, 140.8, 167.6, 167... $ hp   (dbl) 110, 110, 93, 110, 175, 105, 245, 62, 95, 123, 123, 180, 180, 180, 205, 2... $ drat (dbl) 3.90, 3.90, 3.85, 3.08, 3.15, 2.76, 3.21, 3.69, 3.92, 3.92, 3.92, 3.07, 3... $ wt   (dbl) 2.620, 2.875, 2.320, 3.215, 3.440, 3.460, 3.570, 3.190, 3.150, 3.440, 3.4... $ qsec (dbl) 16.46, 17.02, 18.61, 19.44, 17.02, 20.22, 15.84, 20.00, 22.90, 18.30, 18.... $ vs   (dbl) 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0... $   (dbl) 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0... $ gear (dbl) 4, 4, 4, 3, 3, 3, 3, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 4, 4, 4, 3, 3, 3, 3, 3... $ carb (dbl) 4, 4, 1, 1, 2, 1, 4, 2, 2, 4, 4, 3, 3, 3, 4, 4, 4, 1, 2, 1, 1, 2, 2, 4, 2...