On Jul 9, 2011, at 9:44 AM, Berry Boessenkool wrote:
Maybe I'm missing something, but in what package do I find that
function?
simplify2array(b)
Fehler: konnte Funktion "simplify2array" nicht finden
# Function wasn't found
help.search("simplify2array")
No help files found with alias or concept or title matching
‘simplify2array’ using fuzzy matching.
Perhaps its new, since ?simplify2array brings up a help page and it's
in base. Try updating.
-- David.
A (very) short google search didn't help me either...
sessionInfo()
R version 2.12.2 (2011-02-25)
Platform: i386-pc-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252
LC_MONETARY=German_Germany.1252 LC_NUMERIC=C
LC_TIME=German_Germany.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] lattice_0.19-17
loaded via a namespace (and not attached):
[1] grid_2.12.2 tools_2.12.2
Thanks ahead,
Berry
-------------------------------------
Berry Boessenkool
Potsdam
-------------------------------------
----------------------------------------
From: ivo.we...@gmail.com
Date: Fri, 8 Jul 2011 16:22:18 -0700
To: wdun...@tibco.com
CC: r-h...@stat.math.ethz.ch
Subject: Re: [R] manipulating "by" lists and "ave()" functions
It does!! why is this function not mentioned in the "See also"
docpage for
"by" (and friends)??? (Also, "ave" should be mentioned there, too.)
do I post this suggestion to add it to r-devel, or is there a way
to find
out who is in charge of the docpage for "by"?
regards,
/iaw
On Fri, Jul 8, 2011 at 4:17 PM, William Dunlap <wdun...@tibco.com>
wrote:
Q1. simplify2array(b) gives the transpose of what
I think you want.
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-----Original Message-----
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of ivo welch
Sent: Friday, July 08, 2011 3:43 PM
To: r-help
Subject: [R] manipulating "by" lists and "ave()" functions
dear R wizards---more ignorance on my part, exacerbated by too few
examples in the function documentations.
d <- data.frame( id=rep(1:3,3), x=rnorm(9), y=rnorm(9))
Question 1: how do I work with the output of "by"? for example,
b <- by( d, d$id, function(x) coef(lm( y ~ x, data=x ) ))
b
d$id: 1
(Intercept) x
0.2303 0.3618
--------------------------------------------------------------
-------------------------------------
d$id: 2
(Intercept) x
0.05785 -0.40617
--------------------------------------------------------------
-------------------------------------
d$id: 3
(Intercept) x
0.269 -0.378
getting the categories is easy:
names(b)
[1] "1" "2" "3"
but how do I transform the non-name info in this by() data
structure
into a matrix with dimensions 3 by 2? (presumably, there is some
vector operator that can do this kind of magic.)
Question 2: Let's say I want to add only one of the two
coefficients
to d. The naive approach
a <- ave( d, d$id, FUN=function(x) coef(lm( y ~ x, data=x ))[2] )
gives me the right coefficient in each row, but overwrites every
entry. I guess I can keep only the first column of a, and add it to
d, but this seems a rather ugly and inefficient way. How is this
done
better?
Question 3: repeat question 2, but keep both the intercept
and the slope.
thanks in advance, as always, for any advice.
/iaw
----
Ivo Welch (ivo.we...@gmail.com)
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______________________________________________
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.
______________________________________________
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.
David Winsemius, MD
West Hartford, CT
______________________________________________
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.
