On Thu, Apr 4, 2013 at 7:34 AM, ivo welch wrote:
> I wonder whether there is a complete list of all R commands (incl the
> standard packages) somewhere, preferably each with its one-liner AND
> categorization(s). the one-liner can be generated from the documentation.
>
Try the 'sos' package. Not
Dear Rees Morrison,
Re:
> Franklin, I am very impressed. I ran your code and am amazed at the output.
> I want to use it in my efforts to figure out which are the most widely used
> functions, so that I can concentrate on understanding those basics reasonably
> well.
>
> May I ask you tw
On 04 Apr 2013, at 07:34 , ivo welch wrote:
> every time I read the R release notes for the next release, I see many
> functions that I had forgotten about and many functions that I never knew
> existed to begin with. (who knew there were bibtex facilities in R?
> obviously, everyone except me.)
On 13-04-05 12:46 AM, ivo welch wrote:
hi michael: now give my code and your middle rewrites code to an R novice
and ask them to guess what it does. ;-).
my personal rule, for the most part, is to go with the clever idiomatic way
when performance or space matter AND, and to go for the simple id
Here's a categorisation of all the functions in base and utils that I
made recently (not sure if the csv will survive posting the list).
Feedback welcomed - this was just a quick first pass, and it's not
authoritative.
Hadley
On Thu, Apr 4, 2013 at 12:34 AM, ivo welch wrote:
> every time I read t
hi michael: now give my code and your middle rewrites code to an R novice
and ask them to guess what it does. ;-).
my personal rule, for the most part, is to go with the clever idiomatic way
when performance or space matter AND, and to go for the simple idiotic way
when I want to understand in a
On Thu, Apr 4, 2013 at 1:54 PM, ivo welch wrote:
>
> ## 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.sourc
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,
fnam
... and how do you (algorithmically) define "categorized"? Seems like
a clairvoyant oracle would be required (probably could be used to
solve NP complete problems in polynomial time, too!). Or the google
folks...
In the meanwhile, a slight enhancement to Michael's suggestion might
be to first fil
On Thu, Apr 4, 2013 at 3:57 PM, ivo welch wrote:
>
> thanks, michael. how do I get all functions, not just my own, that can
> possibly be used?
It's somewhat ill-defined as functions can be created at any moment.
But as a start
lapply(search(), ls)
might get you going.
Though my original ide
On Apr 4, 2013, at 12:34 AM, ivo welch wrote:
> every time I read the R release notes for the next release, I see many
> functions that I had forgotten about and many functions that I never knew
> existed to begin with. (who knew there were bibtex facilities in R?
> obviously, everyone except
every time I read the R release notes for the next release, I see many
functions that I had forgotten about and many functions that I never knew
existed to begin with. (who knew there were bibtex facilities in R?
obviously, everyone except me.)
I wonder whether there is a complete list of all R
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