## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationTue, 04 Aug 2020 01:23:17 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Aug/04/t1596497172f2vsamtuy55ia6j.htm/, Retrieved Sun, 13 Jun 2021 04:18:01 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 13 Jun 2021 04:18:01 +0200
QR Codes:

Original text written by user:
IsPrivate?This computation is private
User-defined keywords
Estimated Impact0
Dataseries X:
2,671,506
3.514.895
4.205.716
3.402.885
4.383.973
3.995.250
4.232.140
5.260.530

Dataseries Y:
4.4
4.6
4.6
4.6
4.6
4.6
4.7
4.6


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 0 seconds R Server Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]
 Summary of computational transaction[/C][/ROW] [ROW] Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW] Raw Output[/C] view raw output of R engine [/C][/ROW] [ROW] Computing time[/C] 0 seconds[/C][/ROW] [ROW] R Server[/C] Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 0 seconds R Server Big Analytics Cloud Computing Center

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
library(psychometric)x <- x[!is.na(y)]y <- y[!is.na(y)]y <- y[!is.na(x)]x <- x[!is.na(x)]bitmap(file='test1.png')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)/lxvarx = var(x)*makebiasedvary = var(y)*makebiasedcorxy <- cor.test(x,y,method='pearson', na.rm = T)cxy <- as.matrix(corxy$estimate)[1,1]load(file='createtable')a<-table.start()a<-table.row.start(a)a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Statistic',1,TRUE)a<-table.element(a,'Variable X',1,TRUE)a<-table.element(a,'Variable Y',1,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Mean',header=TRUE)a<-table.element(a,mean(x))a<-table.element(a,mean(y))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Biased Variance',header=TRUE)a<-table.element(a,varx)a<-table.element(a,vary)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Biased Standard Deviation',header=TRUE)a<-table.element(a,sqrt(varx))a<-table.element(a,sqrt(vary))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Covariance',header=TRUE)a<-table.element(a,cov(x,y),2)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Correlation',header=TRUE)a<-table.element(a,cxy,2)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Determination',header=TRUE)a<-table.element(a,cxy*cxy,2)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'T-Test',header=TRUE)a<-table.element(a,as.matrix(corxy$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='mytable.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('',RC.texteval('jarque.x'),'',sep=''))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,paste('',RC.texteval('jarque.y'),'',sep=''))a<-table.row.end(a)if(lx>7) {a<-table.row.start(a)a<-table.element(a,paste('',RC.texteval('ad.x'),'',sep=''))a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,paste('',RC.texteval('ad.y'),'',sep=''))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable1.tab')library(car)bitmap(file='test2.png')qqPlot(x,main='QQplot of variable x')dev.off()bitmap(file='test3.png')qqPlot(y,main='QQplot of variable y')dev.off()