**From:** Rolf Poalis (*rolf@biostatistics.dk*)

**Date:** Thu 01 Apr 2004 - 15:19:49 EST

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Message-id: <20040401051949.GA1195@ekstroem.dk>

Dear R users,

Biostatistics Denmark would like to annouce the availability of the

new utility: sas2R --- a SAS to R parser.

For almost 40 years SAS has been the primary tool for statisticians

worldwide and its easy-to-learn syntax, unsurpassed graphical system,

powerful macro language and recent graphical user interfaces have made

SAS the number one statistical software choice for both beginners and

advanced users.

We find it unnecessary for users to learn yet another statistical

software package and have decided to make SAS available to a larger

audience by providing a SAS interface to the free statistical software

package R. It is our hope that the sas2R utility eventually will prove

as powerful as the true SAS system and we believe that this release

marks the beginning of a new era for R.

The sas2R utility consists of a parser (written in perl) that rewrites

the SAS code as R code and a package (sastor) of utility functions

that are needed to run the parsed code. sastor consists mainly of

functions for presenting output in the familiar and canonical SAS

format.

Download the utility at: http://www.biostatistics.dk/sas2r/index.html

Example: The following SAS code:

DATA test;

INPUT x y f$;

CARDS;

1 2 m

1 3 m

2 4 m

2 4 f

1 5 m

4 3 f

3 2 f

;

PROC PRINT DATA=test;

VAR x;

PROC REG DATA=test;

MODEL y = x;

RUN;

is converted to

library(sastor)

test <- data.frame(x = c(1, 1, 2, 2, 1, 4, 3), y = c(2, 3, 4, 4, 5, 3, 2), f = c("m", "m", "m", "f", "m", "f", "f"))

sas.print.print(test[, c("x"), drop=F])

sas.print.reg(lm(y ~ x, data=test))

which produces the following output:

The SAS2R System

Obs x

1 1

2 1

3 2

4 2

5 1

6 4

7 3

The SAS2R REG Procedure

Analysis of Variance

Dependent Variable: y

Df Sum Sq Mean Sq F value Pr(>F)

Model 1 0.5000 0.5000 0.3608 0.5742

Error 5 6.9286 1.3857

Corrected Total 6 7.4286 1.8857

Root MSE 1.17716 R-Square 0.0673

Dependent Mean 3.28571 Adj R-Sq -0.1192

Coeff Var 35.82672

Parameter Estimates:

DF Estimate Std. Error t value Pr(>|t|)

(Intercept) 1 3.7857 0.9438 4.011 0.0102 *

x 1 -0.2500 0.4162 -0.601 0.5742

Here is the DESCRIPTION file for the package:

Package: sas2r

Version: 1.04

Title: SAS-to-R parser

Author: Rolf Poalis <rolf@biostatistics.dk>

Maintainer: Rolf Poalis <rolf@biostatistics.dk>

Description: A collection of functions for running SAS code in R.

Depends: R (>= 1.4.0), perl >= 5.8.0

License: GPL

URL: www.biostatistics.dk/sas2r/index.html

The following SAS procedures are parsed succesfully:

PROC CONTENTS

PROC CORR

PROC FREQ

PROC GLM

PROC MEANS

PROC NPAR1WAY

PROC PRINT

PROC REG

PROC SORT

PROC TTEST

PROC UNIVARIATE

The following SAS procedures work to some degree:

PROC GENMOD

PROC GPLOT

PROC MIXED

Please note:

o All SAS procedure calls must include a DATA=

We look forward to receiving questions, comments and suggestions.

Rolf Poalis, Biostatistics Denmark

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**Next message:**Gabor Grothendieck: "Re: [R] Zero Index Origin?"**Previous message:**Gabor Grothendieck: "Re: [R] Zero Index Origin?"**Next in thread:**Gabor Grothendieck: "Re: [R] New utility: sas2r"**Maybe reply:**Gabor Grothendieck: "Re: [R] New utility: sas2r"**Maybe reply:**Peter Dalgaard: "Re: [R] New utility: sas2r"**Reply:**Frank E Harrell Jr: "Re: [R] New utility: sas2r"**Maybe reply:**Rolf Turner: "Re: [R] New utility: sas2r"

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