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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 computationMon, 15 Nov 2010 22:47:40 +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/15/t1289861194uevg744p552ilqc.htm/, Retrieved Sun, 28 Apr 2024 15:48:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=95155, Retrieved Sun, 28 Apr 2024 15:48:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Linear Regression Graphical Model Validation] [Colombia Coffee -...] [2008-02-26 10:22:06] [74be16979710d4c4e7c6647856088456]
F RMPD  [Chi-Squared and McNemar Tests] [WS6 - Chi kwadraa...] [2010-11-07 14:14:03] [8ef49741e164ec6343c90c7935194465]
F           [Chi-Squared and McNemar Tests] [WS6 Chi kwadraat ...] [2010-11-15 22:47:40] [b47314d83d48c7bf812ec2bcd743b159] [Current]
Feedback Forum
2010-11-17 17:26:11 [aa73f869d2b3fd095fa61a7cff2af29f] [reply] 
Hier maak je dezelfde fout als hierboven. Je zegt dat Ho inhoudt dat er een verband is, maar dit wil zeggen dat er GEEN verband is. Je zegt zelf dat de X²-waarde vrij hoog is en dus er geen verband bestaat? Hier spreek je jezelf tegen! X² duidt namelijk aan of er al dan niet een verband is tussen 2 variabelen. We zeggen dus dat er een verband is. Dit betekent concreet: studenten met een separate leerattitude zijn gelukkiger. Je moet er wel op letten dat je geen causaal verband legt, nl.: Je kan niet zeggen dat een separate leerattitude je gelukkiger maakt!

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'LO'	'HI'	'LO'	'HI'
'LO'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'LO'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'LO'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'LO'	'LO'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'
'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'
'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'LO'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'LO'	'LO'
'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'
'LO'	'HI'	'LO'	'LO'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'
'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'LO'	'LO'	'HI'
'LO'	'LO'	'HI'	'LO'
'LO'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95155&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95155&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95155&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Tabulation of Results
Happiness x Separate
HILO
HI6538
LO2534

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness  x  Separate \tabularnewline
  & HI & LO \tabularnewline
HI & 65 & 38 \tabularnewline
LO & 25 & 34 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95155&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Happiness  x  Separate[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]65[/C][C]38[/C][/ROW]
[C]LO[/C][C]25[/C][C]34[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95155&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95155&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
Happiness x Separate
HILO
HI6538
LO2534






Tabulation of Expected Results
Happiness x Separate
HILO
HI57.2245.78
LO32.7826.22

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness  x  Separate \tabularnewline
  & HI & LO \tabularnewline
HI & 57.22 & 45.78 \tabularnewline
LO & 32.78 & 26.22 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95155&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Happiness  x  Separate[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]57.22[/C][C]45.78[/C][/ROW]
[C]LO[/C][C]32.78[/C][C]26.22[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95155&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95155&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
Happiness x Separate
HILO
HI57.2245.78
LO32.7826.22






Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Chi Square Statistic5.72
Degrees of Freedom1
P value0.02

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Chi Square Statistic & 5.72 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=95155&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]5.72[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=95155&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=95155&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 with Yates' continuity correction
Chi Square Statistic5.72
Degrees of Freedom1
P value0.02


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 4 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 1 ; 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')