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(7,7,7,5,5,5,5,5,6,5,4,4,5,5,5,5,6,6,6,7,6,5,5,6,6,7,7,6,6,5,5,6,4,5,4,6,6,6,6,6,6,6,7,7,3,3,4,3,5,5,6,6,5,5,5,6,2,1,2,2,3,4,5,5,6,6,6,7,6,6,6,7,5,4,5,5,7,5,5,6,5,5,6,6,5,6,5,5,5,3,5,5,5,6,5,6,5,4,5,4,6,5,7,5,5,5,5,5,5,3,3,4,6,5,5,5,4,4,4,6,4,4,6,5,6,5,5,6,3,4,4,5,6,2,5,5,5,4,5,6,6,6,6,6,7,6,5,6,4,4,5,5,5,6,5,5,4,5,4,4,5,6,5,6,3,3,5,5,5,5,5,6,6,6,6,6,6,6,6,6,4,4,4,4,4,4,4,4,6,2,5,5,5,3,6,6,6,5,6,7,4,4,4,5,4,5,6,4,5,5,5,5,3,4,4,4,6,4,6,6,6,6,6,5,4,4,4,4,5,4,5,5,5,3,5,6,4,5,6,6,6,6,6,6,5,5,6,6,4,4,5,5,6,6,5,7,5,5,7,7,6,5,6,5,5,4,7,7,6,4,6,6,5,5,5,5,4,5,4,5,6,6,6,7,5,3,3,5,5,5,5,5,3,4,5,3,5,4,5,5,4,5,5,5,5,2,5,4,5,5,3,4,7,7,7,7,7,6,6,6,5,5,4,6,4,3,4,5,6,5,6,6,5,6,5,5,5,6,6,6,4,4,5,5,5,5,5,5,2,3,2,2,7,5,6,7,4,6,5,5,5,5,5,6,5,5,6,6,7,6,7,7,2,4,6,6,4,4,4,4,6,4,6,6,5,5,6,4,5,5,5,5),dim=c(4,98),dimnames=list(c('Q2','Q9','Q16','Q23'),1:98))
>  y <- array(NA,dim=c(4,98),dimnames=list(c('Q2','Q9','Q16','Q23'),1:98))
>  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 6 7'
> 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 1.02                        112                         12            0.81
Q2 0.72                         89                         18            0.66
Q3 1.18                        123                          7            0.89
Q4 1.36                        139                          6            0.92
   Count of<br />positives (Pc) Count of<br />negatives (Nc) (Pc-Nc)/(Pc+Nc)
Q1                           71                            9            0.78
Q2                           61                           13            0.65
Q3                           78                            5            0.88
Q4                           81                            4            0.91
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/1819a1382286848.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')
> a<-table.element(a,docor(myresult[,1],myresult[,4],method='pearson'),align='right')
> a<-table.element(a,docor(myresult[,1],myresult[,7],method='pearson'),align='right')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
> a<-table.element(a,docor(myresult[,4],myresult[,1],method='pearson'),align='right')
> a<-table.element(a,docor(myresult[,4],myresult[,4],method='pearson'),align='right')
> a<-table.element(a,docor(myresult[,4],myresult[,7],method='pearson'),align='right')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
> a<-table.element(a,docor(myresult[,7],myresult[,1],method='pearson'),align='right')
> a<-table.element(a,docor(myresult[,7],myresult[,4],method='pearson'),align='right')
> a<-table.element(a,docor(myresult[,7],myresult[,7],method='pearson'),align='right')
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/27f0q1382286848.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau rank 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='kendall'),align='right')
> a<-table.element(a,docor(myresult[,1],myresult[,4],method='kendall'),align='right')
> a<-table.element(a,docor(myresult[,1],myresult[,7],method='kendall'),align='right')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
> a<-table.element(a,docor(myresult[,4],myresult[,1],method='kendall'),align='right')
> a<-table.element(a,docor(myresult[,4],myresult[,4],method='kendall'),align='right')
> a<-table.element(a,docor(myresult[,4],myresult[,7],method='kendall'),align='right')
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
> a<-table.element(a,docor(myresult[,7],myresult[,1],method='kendall'),align='right')
> a<-table.element(a,docor(myresult[,7],myresult[,4],method='kendall'),align='right')
> a<-table.element(a,docor(myresult[,7],myresult[,7],method='kendall'),align='right')
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/34zxp1382286848.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.338   0.081   0.396