[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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