[R] sas to r

Uwe Ligges ligges at statistik.uni-dortmund.de
Sat Jul 17 12:43:43 CEST 2004


Adaikalavan Ramasamy wrote:

> 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

I anticipated the above citation from 01 Apr 2004 (hint: 01 April !!!!!)
when I looked at the thread and realized URLs were cited ...

Uwe


> 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
>>
>>______________________________________________
>>R-help at stat.math.ethz.ch mailing list
>>https://www.stat.math.ethz.ch/mailman/listinfo/r-help
>>PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>>
> 
> 
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