indeed. thank you, josh. I would add a final chapter at http://docs.julialang.org/en/release-0.4/
with a set of links to various further resources, examples, full stand-alone programs, etc. for me, at least, the perl cookbook and sets of self-contained snippet programs to start with, were the main reason why I learned perl many years ago. the key problem to my use of julia over R for my students is that I do not have a resident julia expert at UCLA. this won't change anytime soon, because they are hard to find (hire) :-(. this google forum is great, but it's scary to switch without a double hull. many, many full *working* standalone examples are the next best thing for me. regards, /iaw ---- Ivo Welch ([email protected]) http://www.ivo-welch.info/ J. Fred Weston Distinguished Professor of Finance Anderson School at UCLA, C519 Free Finance Textbook, http://book.ivo-welch.info/ Exec Editor, Critical Finance Review, http://www.critical-finance-review.org/ Editor and Publisher, FAMe, http://www.fame-jagazine.com/ On Wed, Feb 10, 2016 at 10:25 AM, Josh Day <[email protected]> wrote: > 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 >> >>
