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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared and McNemar Tests
Date of computationThu, 25 Nov 2010 14:34:13 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/25/t12907011745fxat3lltv22mpk.htm/, Retrieved Fri, 22 May 2026 05:33:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=101128, Retrieved Fri, 22 May 2026 05:33:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact407

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Chi-Squared and McNemar Tests] [] [2010-11-23 15:08:05] [055a14fb8042f7ec27c73c5dfc3bfa50]
- R PD    [Chi-Squared and McNemar Tests] [2.3.2 assignment 2] [2010-11-25 14:34:13] [8690b0a5633f6ac5ed8a33b8894b072f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
A'	'B'
'A'	'C'
'D'	'A'
'D'	'B'
'B'	'A'
'B'	'B'
'A'	'A'
'B'	'C'
'B'	'D'
'A'	'B'
'A'	'D'
'B'	'D'
'A'	'A'
'A'	'A'
'C'	'D'
'C'	'A'
'B'	'A'
'A'	'C'
'A'	'D'
'C'	'B'
'C'	'D'
'D'	'A'
'A'	'B'
'A'	'A'
'A'	'C'
'A'	'D'
'B'	'C'
'C'	'A'
'C'	'A'
'B'	'B'
'D'	'D'
'D'	'A'
'A'	'D'
'B'	'C'
'B'	'B'
'C'	'D'
'D'	'A'
'B'	'B'
'D'	'D'
'B'	'D'
'A'	'D'
'B'	'A'
'A'	'D'
'B'	'A'
'A'	'C'
'A'	'B'
'A'	'D'
'C'	'C'
'B'	'A'
'A'	'C'
'C'	'D'
'C'	'A'
'C'	'A'
'B'	'A'
'C'	'C'
'A'	'B'
'A'	'B'
'D'	'D'
'A'	'D'
'B'	'A'
'D'	'A'
'A'	'B'
'B'	'B'
'D'	'A'
'B'	'B'
'B'	'C'
'B'	'A'
'D'	'B'
'A'	'B'
'B'	'A'
'A'	'B'
'D'	'A'
'B'	'B'
'A'	'D'
'B'	'C'
'A'	'A'
'A'	'B'
'B'	'A'
'D'	'B'
'A'	'D'
'C'	'C'
'A'	'D'
'B'	'D'
'A'	'B'
'C'	'B'
'C'	'B'
'A'	'B'
'C'	'B'
'D'	'A'
'C'	'A'
'D'	'B'
'B'	'A'
'B'	'B'
'C'	'A'
'D'	'D'
'A'	'C'
'A'	'A'
'B'	'C'
'A'	'C'
'C'	'D'
'A'	'D'
'A'	'A'
'B'	'B'
'C'	'C'
'C'	'A'
'A'	'A'
'A'	'C'
'A'	'A'
'B'	'A'
'A'	'A'
'D'	'A'
'D'	'A'
'C'	'C'
'C'	'A'
'A'	'B'
'A'	'D'
'C'	'A'
'B'	'B'
'C'	'D'
'A'	'A'
'C'	'A'
'D'	'A'
'A'	'C'
'A'	'D'
'C'	'C'
'D'	'C'
'A'	'D'
'A'	'D'
'C'	'C'
'B'	'B'
'C'	'C'
'D'	'A'
'A'	'D'
'D'	'A'
'A'	'B'
'C'	'A'
'D'	'A'
'B'	'A'
'D'	'A'
'B'	'C'
'D'	'B'
'C'	'D'
'D'	'A'
'D'	'B'
'D'	'B'
'A'	'C'
'C'	'B'
'B'	'B'
'C'	'C'
'B'	'A'
'A'	'B'
'A'	'A'
'B'	'D'
'B'	'B'
'B'	'A'
'C'	'A'
'B'	'A'
'C'	'A'
'C'	'C'
'B'	'D'
'C'	'A'
'B'	'A'

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101128&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101128&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101128&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
R code (references can be found in the software module):
library(vcd)
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi-Squared by Simulation') simulate.p.value=TRUE
x <- t(x)
(z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
(table1 <- table(z[,cat1],z[,cat2]))
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
bitmap(file='pic1.png')
assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, table1[nr, nc], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
(cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )
if (par3 == 'McNemar Chi-Squared') {
(cst <- mcnemar.test(table1))
}
if (par3 != 'McNemar Chi-Squared') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Statistical Results',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, cst$method, 2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Chi Square Statistic', 1, TRUE)
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
a<-table.row.end(a)
if(!simulate.p.value){
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$parameter, 1,FALSE)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a, 'P value', 1, TRUE)
a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')