R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(1,0,0,1,1)
> x <- c(80,60,10,20,30)
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(Hmisc)
Loading required package: survival
Loading required package: splines

Attaching package: 'Hmisc'


	The following object(s) are masked from package:survival :

	 untangle.specials 


	The following object(s) are masked from package:base :

	 format.pval,
	 round.POSIXt,
	 trunc.POSIXt,
	 units 

> r <- somers2(x,y)
> r
        C       Dxy         n   Missing 
0.6666667 0.3333333 5.0000000 0.0000000 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Somers Dxy Rank Correlation',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Statistics',header=TRUE)
> a<-table.element(a,'Value',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'C',header=TRUE)
> a<-table.element(a,r['C'])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Dxy',header=TRUE)
> a<-table.element(a,r['Dxy'])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'n',header=TRUE)
> a<-table.element(a,r['n'])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Missing',header=TRUE)
> a<-table.element(a,r['Missing'])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/1tpbh1270148672.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.408   0.036   0.660