[R] sas to r
Adaikalavan Ramasamy
ramasamy at cancer.org.uk
Sat Jul 17 01:10:48 CEST 2004
On Fri, 2004-07-16 at 23:18, Greg Adkison wrote:
> I would be incredibly grateful to anyone who'll help me translate some
> SAS code into R code.
Searching for "SAS code OR script OR translate" on
http://maths.newcastle.edu.au/~rking/R/ gives a few results, one of
which looks promising is
http://tolstoy.newcastle.edu.au/R/help/04/04/0009.html and
http://tolstoy.newcastle.edu.au/R/help/04/02/0660.html
> Say for example that I have a dataset named "dat1" that includes five
> variables: wshed, site, species, bda, and sla. I can calculate with the
> following SAS code the mean, CV, se, and number of observations of
> "bda" and "sla" for each combination of "wshed," "species," and "site,"
> restricting the species considered to only three of several species in
> dat1 (b, c, and p). Moreover, I can output these calculations and
> grouping variables to a dataset named "dat2" that will reside in RAM
> and include the variables wshed, site, species, mBdA, msla, cBda,
> sBdA, ssla, nBda, and nsla.
data(iris)
attach(iris)
iris[c(1,2,51,52,101,102), ]
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3.0 1.4 0.2 setosa
...
51 7.0 3.2 4.7 1.4 versicolor
52 6.4 3.2 4.5 1.5 versicolor
...
101 6.3 3.3 6.0 2.5 virginica
102 5.8 2.7 5.1 1.9 virginica
> tapply(Sepal.Length, Species, function(x) c( mean(x), sd(x)/mean(x),
length(x) ))
$setosa
[1] 5.00600000 0.07041344 50.00000000
$versicolor
[1] 5.93600000 0.08695606 50.00000000
$virginica
[1] 6.58800000 0.09652089 50.00000000
> proc sort data=dat1;
> by wshed site species;
> proc means data=dat1 noprint mean cv stderr n;
> by wshed site species;
> where species in ('b', 'c', 'p');
> var BdA sla;
> output out=dat2
> mean=mBdA msla
> cv=cBdA csla
> stderr=sBdA ssla
> n=nBdA nsla;
>
> Thanks,
> Greg
>
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