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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 computationFri, 16 Dec 2016 02:13:01 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/16/t1481850861x5aq0b8i2aj5ezg.htm/, Retrieved Thu, 02 May 2024 13:59:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=300055, Retrieved Thu, 02 May 2024 13:59:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122

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] [PEARSON CHI SQUARED] [2016-12-16 01:13:01] [1e2c9196efc58119c3757b6c78ac7c5f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3	5
5	5
5	4
5	4
4	5
5	5
5	5
5	5
5	5
5	5
5	4
NA	5
5	5
5	5
4	4
3	5
5	3
NA	5
5	5
5	5
4	5
2	NA
5	3
5	4
5	4
4	4
4	5
4	4
5	5
5	4
4	5
5	4
5	4
1	4
5	5
4	5
4	5
4	5
5	2
4	4
4	4
5	4
3	5
5	5
5	5
2	4
3	4
4	5
4	5
NA	5
5	4
5	4
4	5
5	5
5	5
4	4
5	5
4	5
4	4
3	4
4	5
4	5
5	4
4	4
4	5
4	3
4	3
4	5
2	4
4	4
4	5
5	5
3	4
3	5
5	4
4	4
5	4
4	5
4	4
5	4
5	4
5	4
4	4
5	2
5	4
2	4
5	5
5	4
5	5
5	4
4	4
4	3
5	4
4	2
5	4
5	5
5	3
4	4
5	5
5	2
3	5
5	5
5	5
5	4
4	4
4	5
4	5
4	4
5	4
5	5
4	5
3	5
3	4
4	5
4	4
5	5
5	4
4	5
5	5
5	4
4	4
4	4
5	5
5	5
5	4
5	4
4	5
5	5
3	4
5	4
5	4
4	4
5	5
4	5
4	4
4	NA
4	4
2	4
4	3
5	4
5	5
5	4
4	4
4	5
5	3
5	4
5	1
5	5
5	4
5	5
4	3
5	4
3	4
3	4
4	4
4	5
3	5
3	5
5	5
5	4
5	5
5	5
5	4
5	3
5	4
5	4
4	5
4	4
2	4

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300055&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=300055&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300055&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Tabulation of Results
ITH1 x KVDD1
12345
100010
200050
300078
40152527
51353937

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
ITH1  x  KVDD1 \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 0 & 0 & 0 & 1 & 0 \tabularnewline
2 & 0 & 0 & 0 & 5 & 0 \tabularnewline
3 & 0 & 0 & 0 & 7 & 8 \tabularnewline
4 & 0 & 1 & 5 & 25 & 27 \tabularnewline
5 & 1 & 3 & 5 & 39 & 37 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300055&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]ITH1  x  KVDD1[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]5[/C][C]0[/C][/ROW]
[C]3[/C][C]0[/C][C]0[/C][C]0[/C][C]7[/C][C]8[/C][/ROW]
[C]4[/C][C]0[/C][C]1[/C][C]5[/C][C]25[/C][C]27[/C][/ROW]
[C]5[/C][C]1[/C][C]3[/C][C]5[/C][C]39[/C][C]37[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300055&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300055&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
ITH1 x KVDD1
12345
100010
200050
300078
40152527
51353937






Tabulation of Expected Results
ITH1 x KVDD1
12345
10.010.020.060.470.44
20.030.120.32.352.2
30.090.370.917.046.59
40.351.413.5427.2325.46
50.522.075.1839.9137.32

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
ITH1  x  KVDD1 \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 0.01 & 0.02 & 0.06 & 0.47 & 0.44 \tabularnewline
2 & 0.03 & 0.12 & 0.3 & 2.35 & 2.2 \tabularnewline
3 & 0.09 & 0.37 & 0.91 & 7.04 & 6.59 \tabularnewline
4 & 0.35 & 1.41 & 3.54 & 27.23 & 25.46 \tabularnewline
5 & 0.52 & 2.07 & 5.18 & 39.91 & 37.32 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300055&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]ITH1  x  KVDD1[/C][/ROW]
[ROW][C] [/C][C]1[/C][C]2[/C][C]3[/C][C]4[/C][C]5[/C][/ROW]
[C]1[/C][C]0.01[/C][C]0.02[/C][C]0.06[/C][C]0.47[/C][C]0.44[/C][/ROW]
[C]2[/C][C]0.03[/C][C]0.12[/C][C]0.3[/C][C]2.35[/C][C]2.2[/C][/ROW]
[C]3[/C][C]0.09[/C][C]0.37[/C][C]0.91[/C][C]7.04[/C][C]6.59[/C][/ROW]
[C]4[/C][C]0.35[/C][C]1.41[/C][C]3.54[/C][C]27.23[/C][C]25.46[/C][/ROW]
[C]5[/C][C]0.52[/C][C]2.07[/C][C]5.18[/C][C]39.91[/C][C]37.32[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300055&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300055&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
ITH1 x KVDD1
12345
10.010.020.060.470.44
20.030.120.32.352.2
30.090.370.917.046.59
40.351.413.5427.2325.46
50.522.075.1839.9137.32






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic10.7
Degrees of Freedom16
P value0.83

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 10.7 \tabularnewline
Degrees of Freedom & 16 \tabularnewline
P value & 0.83 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=300055&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]10.7[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]16[/C][/ROW]
[ROW][C]P value[/C][C]0.83[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=300055&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=300055&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 Statistic10.7
Degrees of Freedom16
P value0.83


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
R code (references can be found in the software module):
par3 <- 'Pearson Chi-Squared'
par2 <- '2'
par1 <- '1'
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')