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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 Test, McNemar Test, and Fisher Exact Test
Date of computationTue, 15 Nov 2011 13:55:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t1321383354cqiclggrtu25sv2.htm/, Retrieved Fri, 01 Nov 2024 00:17:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143350, Retrieved Fri, 01 Nov 2024 00:17:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Workshop 6] [2011-11-15 18:55:03] [85205d4a623eda481b08e88585a15826] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
'Average'	'Data'	'Female'
'Average'	'Data'	'Female'
'Low'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Female'
'Low'	'Data'	'Male'
'High'	'Data'	'Female'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Low'	'Data'	'Female'
'Average'	'Data'	'Male'
'Low'	'Data'	'Male'
'Low'	'Data'	'Female'
'Low'	'Data'	'Female'
'Average'	'Data'	'Female'
'Average'	'Data'	'Female'
'Average'	'Data'	'Female'
'Average'	'Data'	'Female'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Low'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Low'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Low'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Female'
'Low'	'Data'	'Male'
'Low'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'High'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Female'
'Low'	'Data'	'Female'
'Low'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Average'	'Data'	'Female'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Data'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Low'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'High'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'High'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'High'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'High'	'Blog'	'Female'
'Average'	'Blog'	'Female'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'
'Average'	'Blog'	'Male'

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'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143350&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143350&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143350&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'Herman Ole Andreas Wold' @ wold.wessa.net






Tabulation of Results
Score x Treatment
BlogData
Average4650
High42
Low113

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Score  x  Treatment \tabularnewline
  & Blog & Data \tabularnewline
Average & 46 & 50 \tabularnewline
High & 4 & 2 \tabularnewline
Low & 1 & 13 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143350&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Score  x  Treatment[/C][/ROW]
[ROW][C] [/C][C]Blog[/C][C]Data[/C][/ROW]
[C]Average[/C][C]46[/C][C]50[/C][/ROW]
[C]High[/C][C]4[/C][C]2[/C][/ROW]
[C]Low[/C][C]1[/C][C]13[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143350&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143350&T=1

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


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

Tabulation of Results
Score x Treatment
BlogData
Average4650
High42
Low113






Tabulation of Expected Results
Score x Treatment
BlogData
Average42.2153.79
High2.643.36
Low6.167.84

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Score  x  Treatment \tabularnewline
  & Blog & Data \tabularnewline
Average & 42.21 & 53.79 \tabularnewline
High & 2.64 & 3.36 \tabularnewline
Low & 6.16 & 7.84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143350&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Score  x  Treatment[/C][/ROW]
[ROW][C] [/C][C]Blog[/C][C]Data[/C][/ROW]
[C]Average[/C][C]42.21[/C][C]53.79[/C][/ROW]
[C]High[/C][C]2.64[/C][C]3.36[/C][/ROW]
[C]Low[/C][C]6.16[/C][C]7.84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143350&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143350&T=2

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


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

Tabulation of Expected Results
Score x Treatment
BlogData
Average42.2153.79
High2.643.36
Low6.167.84






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic9.57
Degrees of Freedom2
P value0.01

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 9.57 \tabularnewline
Degrees of Freedom & 2 \tabularnewline
P value & 0.01 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143350&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]9.57[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]2[/C][/ROW]
[ROW][C]P value[/C][C]0.01[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143350&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143350&T=3

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


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

Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic9.57
Degrees of Freedom2
P value0.01


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 = Pearson Chi-Squared ;
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=='Fisher Exact Test') {
(cst <- fisher.test(table1))
}
if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
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)
if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
if (par3=='Fisher Exact Test') {
if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
} else {
a<-table.element(a, '--', 1,FALSE)
}
} else {
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
}
a<-table.row.end(a)
if(!simulate.p.value){
if(par3!='Fisher Exact Test') {
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')