FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationSun, 14 Nov 2010 16:08:22 +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/14/t1289751277uwahqij10vgguvh.htm/, Retrieved Wed, 27 Sep 2023 08:25:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94579, Retrieved Wed, 27 Sep 2023 08:25:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Turnover company A] [2010-11-02 11:53:41] [b98453cac15ba1066b407e146608df68]
- RMPD  [Chi-Squared and McNemar Tests] [Chi-Squared 1. Ha...] [2010-11-14 15:50:44] [19f9551d4d95750ef21e9f3cf8fe2131]
-    D      [Chi-Squared and McNemar Tests] [Chi-Squared 2. Ha...] [2010-11-14 16:08:22] [fca744d17b21beb005bf086e7071b2bb] [Current]
- R           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS 6 Chi-Squared ...] [2011-11-12 15:41:02] [f5fdea4413921432bb019d1f20c4f2ec]
- R           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS6 - Quesion 1 H...] [2011-11-14 12:40:27] [59e9c089bdd600b584669dddc48fbcc3]
- R           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-14 18:46:13] [74be16979710d4c4e7c6647856088456]
-               [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS6 Q1.2 DD goed] [2011-11-15 20:58:58] [4f1f864fb932bb9c9d0c6cb0c11f4a44]
- RMPD        [Histogram] [WS 6 - Q2 Histogr...] [2011-11-15 21:27:54] [59e9c089bdd600b584669dddc48fbcc3]
- RMPD        [Kernel Density Estimation] [WS 6 - Q2 2.1 Ker...] [2011-11-15 21:29:50] [59e9c089bdd600b584669dddc48fbcc3]
- RMPD        [Maximum-likelihood Fitting - Normal Distribution] [WS 6 - Q2 Assign...] [2011-11-15 21:31:30] [59e9c089bdd600b584669dddc48fbcc3]
Feedback Forum

Post a new message

Dataset

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

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'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=94579&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=94579&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94579&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'Gwilym Jenkins' @ 72.249.127.135






Tabulation of Results
Happiness x Separate
HILO
A2518
B4020
C514
D2020

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Happiness  x  Separate \tabularnewline
  & HI & LO \tabularnewline
A & 25 & 18 \tabularnewline
B & 40 & 20 \tabularnewline
C & 5 & 14 \tabularnewline
D & 20 & 20 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94579&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]A[/C][C]25[/C][C]18[/C][/ROW]
[C]B[/C][C]40[/C][C]20[/C][/ROW]
[C]C[/C][C]5[/C][C]14[/C][/ROW]
[C]D[/C][C]20[/C][C]20[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94579&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94579&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
A2518
B4020
C514
D2020






Tabulation of Expected Results
Happiness x Separate
HILO
A23.8919.11
B33.3326.67
C10.568.44
D22.2217.78

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Happiness  x  Separate \tabularnewline
  & HI & LO \tabularnewline
A & 23.89 & 19.11 \tabularnewline
B & 33.33 & 26.67 \tabularnewline
C & 10.56 & 8.44 \tabularnewline
D & 22.22 & 17.78 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94579&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]A[/C][C]23.89[/C][C]19.11[/C][/ROW]
[C]B[/C][C]33.33[/C][C]26.67[/C][/ROW]
[C]C[/C][C]10.56[/C][C]8.44[/C][/ROW]
[C]D[/C][C]22.22[/C][C]17.78[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94579&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94579&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
A23.8919.11
B33.3326.67
C10.568.44
D22.2217.78






Statistical Results
Pearson's Chi-squared test
Chi Square Statistic10.2
Degrees of Freedom3
P value0.02

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 10.2 \tabularnewline
Degrees of Freedom & 3 \tabularnewline
P value & 0.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94579&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Chi Square Statistic[/C][C]10.2[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]3[/C][/ROW]
[ROW][C]P value[/C][C]0.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94579&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94579&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
Chi Square Statistic10.2
Degrees of Freedom3
P value0.02


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 != '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')