I was thinking simpler, not more clever.
## must be started with R --vanilla
all.sources <- search()
d <- NULL
for (i in 1:length(all.sources)) {
all.functions <- ls(search()[i])
N <- length(all.functions)
if (N==0) next
d <- rbind(d, data.frame( src=rep(all.sources[i], N), index=1:N,
fname=all.functions ) )
}
write.csv(d, "R-dictionary.csv")
next I want to pick off from all Rd files the \title{} and possibly the
\description{} and \seealso{} and put it into their own columns. I am also
thinking a clickable URL to the real help page in a column. (my local R
has an help http server, but after packages, when I clicked on a name, I
got a missing links. not a big deal---I prefer searching online to
searching local, anyway, so this would be a real http link to some R
website.)
I am thinking I can get an estimate of "common" and "uncommon" by looking
at my own non-internal R code. It would be interesting to see what common
functions I myself am rarely using---maybe I should learn them. (I just
found "identical", but even the R source doesn't seem to use it
consistently: see sapply() for example.)
then Bert is right. next will have to come the non-algorithmic part: my
own categorizations of what functions can be grouped into. I may give up
on this, or I may not.
putting this onto a shared google docs spreadsheet and allowing anyone
interested in cheat-sheets and R dictionaries to make changes seems like a
good idea. git and control is overkill here.
regards,
/iaw
----
Ivo Welch (ivo.we...@gmail.com)
http://www.ivo-welch.info/
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
