source('/home/pw/wessanet/cretab')


RC.capture <- function (expression, collapse = NULL) {
    resultConn <- textConnection('RC.resultText', open = 'w', local=TRUE)
    sink(resultConn)
    on.exit(function() {
        sink()
        close(resultConn)
    })
    expression
    on.exit(NULL)
    sink()
    close(resultConn)
    return(paste(c(RC.resultText, ''), collapse = collapse, sep = ''))
}
RC.texteval <- function (sourceText, collapse = NULL, echo = TRUE) {
    sourceConn <- textConnection(sourceText, open = 'r')
    on.exit(close(sourceConn))
    result <- RC.capture(source(file = sourceConn, local = FALSE, echo = echo, print.eval = TRUE), collapse = collapse)
    on.exit(NULL)
    close(sourceConn)
    res <- ''
    for(i in 1:length(result)) {
      if (result[i]!='') res <- paste(res,result[i],'
',sep='')
    }
    return(res)
}


myrfcuid = ''

y <- c(3,3,4,4,2,2,3,2,4,2,2,3,3,4,3,3,3,3,4,4,4,3,4,4,2,2,3,2,3,3,3,2,3,4,2,2,3,3,5,4,3,2,3,3,3,4,3,3,4,3,3,5,5,3,4,2,4,5,4,4,3,2,2,3,2,3,4,1,2,1,2,4,3,2,2,1,3,4,2,4,2,3,3,3,3,1,2,2,4,3,2,2,4,3)
x <- c(4,2,3,2,1,4,4,2,2,3,2,1,2,2,1,3,1,2,1,3,4,4,2,2,3,2,1,2,2,3,4,2,3,3,2,1,3,2,4,1,2,2,2,3,2,2,2,2,1,3,3,2,1,1,2,3,3,1,1,3,2,4,2,3,4,3,2,2,1,2,3,4,3,2,3,3,3,2,2,4,3,3,1,1,4,3,2,3,4,3,2,3,2,3)
ylab = 'y'
xlab = 'x'
main = 'Scatterplot and histograms'
#'GNU S' R Code compiled by R2WASP v. 1.2.327 (Sun, 30 Jul 2017 18:15:01 +0200)
#Author: root
#To cite this work: Wessa P., (2017), Pearson Correlation (v1.0.13) in Free Statistics Software (v$_version), Office for Research Development and Education, URL https://www.wessa.net/rwasp_correlation.wasp/
#Source of accompanying publication: Office for Research, Development, and Education
#
library(psychometric)
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
postscript(file="/home/pw/wessanet/rcomp/tmp/1zklq1541786837.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
histx <- hist(x, plot=FALSE)
histy <- hist(y, plot=FALSE)
maxcounts <- max(c(histx$counts, histx$counts))
xrange <- c(min(x),max(x))
yrange <- c(min(y),max(y))
nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE)
par(mar=c(4,4,1,1))
plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab, sub=main)
par(mar=c(0,4,1,1))
barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0)
par(mar=c(4,0,1,1))
barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE)
dev.off()
lx = length(x)
makebiased = (lx-1)/lx
varx = var(x)*makebiased
vary = var(y)*makebiased
corxy <- cor.test(x,y,method='pearson', na.rm = T)
cxy <- as.matrix(corxy$estimate)[1,1]

a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',1,TRUE)
a<-table.element(a,'Variable X',1,TRUE)
a<-table.element(a,'Variable Y',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.element(a,mean(y))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Biased Variance',header=TRUE)
a<-table.element(a,varx)
a<-table.element(a,vary)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Biased Standard Deviation',header=TRUE)
a<-table.element(a,sqrt(varx))
a<-table.element(a,sqrt(vary))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Covariance',header=TRUE)
a<-table.element(a,cov(x,y),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',header=TRUE)
a<-table.element(a,cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Determination',header=TRUE)
a<-table.element(a,cxy*cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-Test',header=TRUE)
a<-table.element(a,as.matrix(corxy$statistic)[1,1],2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (2 sided)',header=TRUE)
a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (1 sided)',header=TRUE)
a<-table.element(a,p2/2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'95% CI of Correlation',header=TRUE)
a<-table.element(a,paste('[',CIr(r=cxy, n = lx, level = .95)[1],', ', CIr(r=cxy, n = lx, level = .95)[2],']',sep=''),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degrees of Freedom',header=TRUE)
a<-table.element(a,lx-2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of Observations',header=TRUE)
a<-table.element(a,lx,2)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/2tblm1541786837.tab") 
library(moments)
library(nortest)
jarque.x <- jarque.test(x)
jarque.y <- jarque.test(y)
if(lx>7) {
ad.x <- ad.test(x)
ad.y <- ad.test(y)
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Normality Tests',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('<pre>',RC.texteval('jarque.x'),'</pre>',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('<pre>',RC.texteval('jarque.y'),'</pre>',sep=''))
a<-table.row.end(a)
if(lx>7) {
a<-table.row.start(a)
a<-table.element(a,paste('<pre>',RC.texteval('ad.x'),'</pre>',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('<pre>',RC.texteval('ad.y'),'</pre>',sep=''))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/3dn821541786837.tab") 
library(car)
postscript(file="/home/pw/wessanet/rcomp/tmp/4z0et1541786837.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
qqPlot(x,main='QQplot of variable x')
dev.off()
postscript(file="/home/pw/wessanet/rcomp/tmp/55c8j1541786837.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
qqPlot(y,main='QQplot of variable y')
dev.off()

try(system("convert /home/pw/wessanet/rcomp/tmp/1zklq1541786837.ps /home/pw/wessanet/rcomp/tmp/1zklq1541786837.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/4z0et1541786837.ps /home/pw/wessanet/rcomp/tmp/4z0et1541786837.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/55c8j1541786837.ps /home/pw/wessanet/rcomp/tmp/55c8j1541786837.png",intern=TRUE))