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Author

*The author of this computation has been verified*

R Software Module

rwasp_CompareCorrelations.wasp

Title produced by software

Testing difference between two correlations

Date of computation

Tue, 15 Dec 2015 14:00:21 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/15/t14501881040wn0tmsayhkfpi9.htm/, Retrieved Fri, 20 Sep 2024 23:57:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286495, Retrieved Fri, 20 Sep 2024 23:57:05 +0000

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IsPrivate?

No (this computation is public)

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Estimated Impact

108

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Testing difference between two correlations] [Difference correl...] [2015-12-15 14:00:21] [b6628d6ea1d7803ffc2dc825d38ead4a] [Current]

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Dataseries Y:

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Dataseries Z:

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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	'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 0 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286495&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286495&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286495&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	'Sir Maurice George Kendall' @ kendall.wessa.net

Testing difference between two Pearson Correlations
Pearson Correlation between X and Y	0.546754965272195
Pearson Correlation between X and Z	0.605185399386251
Type of test	paired
t-Test for dependent correlations	-2.22534191921295
P-value (H0: r(xy) = r(xz))	0.027405573182532

\begin{tabular}{lllllllll}
\hline
Testing difference between two Pearson Correlations \tabularnewline
Pearson Correlation between X and Y & 0.546754965272195 \tabularnewline
Pearson Correlation between X and Z & 0.605185399386251 \tabularnewline
Type of test & paired \tabularnewline
t-Test for dependent correlations & -2.22534191921295 \tabularnewline
P-value (H0: r(xy) = r(xz)) & 0.027405573182532 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286495&T=1

[TABLE]
[ROW][C]Testing difference between two Pearson Correlations[/C][/ROW]
[ROW][C]Pearson Correlation between X and Y[/C][C]0.546754965272195[/C][/ROW]
[ROW][C]Pearson Correlation between X and Z[/C][C]0.605185399386251[/C][/ROW]
[ROW][C]Type of test[/C][C]paired[/C][/ROW]
[ROW][C]t-Test for dependent correlations[/C][C]-2.22534191921295[/C][/ROW]
[ROW][C]P-value (H0: r(xy) = r(xz))[/C][C]0.027405573182532[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286495&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286495&T=1

As an alternative you can also use a QR Code:

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

Testing difference between two Pearson Correlations
Pearson Correlation between X and Y	0.546754965272195
Pearson Correlation between X and Z	0.605185399386251
Type of test	paired
t-Test for dependent correlations	-2.22534191921295
P-value (H0: r(xy) = r(xz))	0.027405573182532

Parameters (Session):

par1 = paired ;

Parameters (R input):

par1 = paired ;

R code (references can be found in the software module):

library(psych)
xy <- cor(x,y,use = 'pairwise')
xz <- cor(x,z,use = 'pairwise')
yz <- cor(y,z,use = 'pairwise')
nx <- length(na.omit(x))
ny <- length(na.omit(y))
nz <- length(na.omit(z))
nxy <- min(nx,ny)
nxz <- min(nx,nz)
if(par1=='paired') {
r <- paired.r(xy,xz,yz,n=nxy,n2=nxz)
} else {
r <- paired.r(xy,xz,n=nxy,n2=nxz)
}
r
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Testing difference between two Pearson Correlations',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Pearson Correlation between X and Y',header=TRUE)
a<-table.element(a,xy)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Pearson Correlation between X and Z',header=TRUE)
a<-table.element(a,xz)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type of test',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
if(par1=='paired') {
a<-table.row.start(a)
a<-table.element(a,'t-Test for dependent correlations',header=TRUE)
a<-table.element(a,r$t)
a<-table.row.end(a)
} else {
a<-table.row.start(a)
a<-table.element(a,'z-Test for independent correlations',header=TRUE)
a<-table.element(a,r$z)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'P-value (H0: r(xy) = r(xz))',header=TRUE)
a<-table.element(a,r$p)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

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