R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list(17,17,18,21,20,28,19,22,16,18,25,17,14,11,27,20,22,22,21,23,17,24,14,17,23,24,24,8,22,23,25,21,24,15,22,21,25,16,28,23,21,21,26,22,21,18,12,25,17,24,15,13,26,16,24,21,20,14,25,25,20,22,20,26,18,22,24,17,24,20,19,20,15,23,26,22,20,24,26,21,25,13,20,22,23,28,22,20,6,21,20,18,23,20,24,22,21,18,21,23,23,15,21,24,23,21,21,20,11,22,27,25,18,20,24,10,27,21,21,18,15,24,22,14,28,18,26,17,19,22,18,24,15,18,26,11,26,21,23,23,15,22,26,16,20,18,22,16,19,20,19,23,24,25,21,21,23,27,23,18,16,16),dim=c(1,162),dimnames=list(c('E2'),1:162))
>  y <- array(NA,dim=c(1,162),dimnames=list(c('E2'),1:162))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = '1 2 3 4 5'
> par1 <- '1 2 3 4 5'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Survey Scores (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_surveyscores.wasp/
> #Source of accompanying publication: 
> #
> docor <- function(x,y,method) {
+ r <- cor.test(x,y,method=method)
+ paste(round(r$estimate,3),' (',round(r$p.value,3),')',sep='')
+ }
> x <- t(x)
> nx <- length(x[,1])
> cx <- length(x[1,])
> mymedian <- median(as.numeric(strsplit(par1,' ')[[1]]))
> myresult <- array(NA, dim = c(cx,7))
> rownames(myresult) <- paste('Q',1:cx,sep='')
> colnames(myresult) <- c('mean','Sum of<br />positives (Ps)','Sum of<br />negatives (Ns)', '(Ps-Ns)/(Ps+Ns)', 'Count of<br />positives (Pc)', 'Count of<br />negatives (Nc)', '(Pc-Nc)/(Pc+Nc)')
> for (i in 1:cx) {
+ spos <- 0
+ sneg <- 0
+ cpos <- 0
+ cneg <- 0
+ for (j in 1:nx) {
+ if (!is.na(x[j,i])) {
+ myx <- as.numeric(x[j,i]) - mymedian
+ if (myx > 0) {
+ spos = spos + myx
+ cpos = cpos + 1
+ }
+ if (myx < 0) {
+ sneg = sneg + abs(myx)
+ cneg = cneg + 1
+ }
+ }
+ }
+ myresult[i,1] <- round(mean(as.numeric(x[,i]),na.rm=T)-mymedian,2)
+ myresult[i,2] <- spos
+ myresult[i,3] <- sneg
+ myresult[i,4] <- round((spos - sneg) / (spos + sneg),2)
+ myresult[i,5] <- cpos
+ myresult[i,6] <- cneg
+ myresult[i,7] <- round((cpos - cneg) / (cpos + cneg),2)
+ }
> myresult
    mean Sum of<br />positives (Ps) Sum of<br />negatives (Ns) (Ps-Ns)/(Ps+Ns)
Q1 17.56                       2845                          0               1
   Count of<br />positives (Pc) Count of<br />negatives (Nc) (Pc-Nc)/(Pc+Nc)
Q1                          162                            0               1
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Summary of survey scores (median of Likert score was subtracted)',8,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Question',header=TRUE)
> for (i in 1:7) {
+ a<-table.element(a,colnames(myresult)[i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:cx) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ for (j in 1:7) {
+ a<-table.element(a,myresult[i,j],align='right')
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/1m67f1382542229.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Pearson correlations of survey scores (and p-values)',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'',header=TRUE)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
> a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,docor(myresult[,1],myresult[,1],method='pearson'),align='right')
Error in cor.test.default(x, y, method = method) : 
  not enough finite observations
Calls: table.element -> paste -> docor -> cor.test -> cor.test.default
Execution halted