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R Software Module

rwasp_chi_squared_tests.wasp

Title produced by software

Chi-Squared and McNemar Tests

Date of computation

Wed, 10 Nov 2010 15:50:37 +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/2010/Nov/10/t1289404153of6q46crmdnnbxv.htm/, Retrieved Mon, 29 Apr 2024 16:16:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=93089, Retrieved Mon, 29 Apr 2024 16:16:50 +0000

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User-defined keywords

Estimated Impact

232

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

-     [ECEL 2008] [ECEL2008 hypothes...] [2008-06-14 21:17:24] [74be16979710d4c4e7c6647856088456]
- RMPD  [Chi-Squared and McNemar Tests] [Chi squared 1] [2010-11-05 22:27:37] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
F R PD      [Chi-Squared and McNemar Tests] [Separate versus D...] [2010-11-10 15:50:37] [dc77c696707133dea0955379c56a2acd] [Current]

Feedback Forum

2010-11-23 10:50:27 [411b43619fc9db329bbcdbf7261c55fb] [reply] 
De student heeft hier de correcte berekening gemaakt. Hij merkt terecht op dat er geen verband bestaat tussen depression en separate. Dit is logisch aangezien de p-waarde hier 99% bedraagt (deze is hoger dan de type 1 fout (5%) die de student stelt). Bijgevolg kunnen we met grote zekerheid concluderen dat de vastgestelde verschillen hier volledig toevallig zijn. 
 
De student had dezelfde berekening ook kunnen doen met de verfijnde oplossing. Daarom geef ik de student mijn berekeningen mee, om te kunnen vergelijken. (bekijk http://www.freestatistics.org/blog/index.php?v=date/2010/Nov/20/t1290249860riy0t2iiiij5pzr.htm/ 
 voor A/B/C/D) Daarom kunnen we zowel de “Pearson Chi-squared test” als de “Exact Pearson Chi-squared by simulation” gebruiken. Deze berekening kan je op dezelfde wijze interpreteren als de groffe oplossing (HI/LO). (Hier zien we een p-waarde van 90%, dus hier waren we al zeker dat er geen verband bestond, dit gegeven werd nog eens extra bevestigd bij de groffe oplossing ). 

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Dataseries X:

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Boxplots

'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'LO'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'LO'	'HI'	'HI'
'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'HI'
'HI'	'LO'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'
'LO'	'HI'	'LO'	'LO'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'LO'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93089&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93089&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93089&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Tabulation of Results
seperate x depression
	HI	LO
HI	56	34
LO	44	28

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
seperate  x  depression \tabularnewline
  & HI & LO \tabularnewline
HI & 56 & 34 \tabularnewline
LO & 44 & 28 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93089&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]seperate  x  depression[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]56[/C][C]34[/C][/ROW]
[C]LO[/C][C]44[/C][C]28[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93089&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93089&T=1

As an alternative you can also use a QR Code:

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

Tabulation of Results
seperate x depression
	HI	LO
HI	56	34
LO	44	28

Tabulation of Expected Results
seperate x depression
	HI	LO
HI	55.56	34.44
LO	44.44	27.56

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
seperate  x  depression \tabularnewline
  & HI & LO \tabularnewline
HI & 55.56 & 34.44 \tabularnewline
LO & 44.44 & 27.56 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93089&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]seperate  x  depression[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]55.56[/C][C]34.44[/C][/ROW]
[C]LO[/C][C]44.44[/C][C]27.56[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93089&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93089&T=2

As an alternative you can also use a QR Code:

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

Tabulation of Expected Results
seperate x depression
	HI	LO
HI	55.56	34.44
LO	44.44	27.56

Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Chi Square Statistic	0
Degrees of Freedom	1
P value	0.99

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Chi Square Statistic & 0 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.99 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93089&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with Yates' continuity correction[/C][/ROW]
[ROW][C]Chi Square Statistic[/C][C]0[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.99[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93089&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93089&T=3

As an alternative you can also use a QR Code:

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

Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Chi Square Statistic	0
Degrees of Freedom	1
P value	0.99

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 2 ; par2 = 4 ; par3 = Pearson Chi-Squared ;

Parameters (R input):

par1 = 2 ; par2 = 4 ; 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 != '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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code