I think a lot of what you're looking for already exists. It's just that things like "run a regression according to variable names" wouldn't belong in base Julia. If you haven't already, I'd take a look at StatsBase.jl, DataFrames.jl, and GLM.jl.
http://dataframesjl.readthedocs.org/en/latest/io.html#importing-data-from-tabular-data-files https://github.com/JuliaStats/GLM.jl On Wednesday, February 10, 2016 at 10:58:37 AM UTC-5, ivo welch wrote: > > > ladies and gents---I am not (yet) a julia user. > > may I suggest adding more examples into two places where julia users will > face starting hurdles? > > [1] the I/O docs of julia. like, reading and writing csv files that are > compressed and decompressed on-the-fly, even if not in the ultimate > efficient manner. a large fraction of the time and frustration of new > users is consumed by the task of shoehorning data into and out of new > computer languages. with all of R's problem, the ' d <- read.csv("f.csv")' > and 'd<-read.csv(pipe(paste("gzcat ", fname)))' reduced this entry > frustration greatly. perhaps xml file reading and writing. perhaps... > > [2] more 'standard task' programs would be great. read a csv file, run a > regression according to variable names on the command line, print output, > draw a graph. I know there are fragments throughout the docs, but some > section with ready to run complete programs would be good, perhaps at the > end of the manual. > > in a year, I hope to switch my students from R to julia. > > regards, > > /iaw > >
