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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 computationSat, 27 Nov 2010 08:30:25 +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/27/t1290846667wx4onvsr8r5ut42.htm/, Retrieved Mon, 29 Apr 2024 11:43:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=102317, Retrieved Mon, 29 Apr 2024 11:43:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared and McNemar Tests] [MiniA- Hypothese 1] [2010-11-23 13:22:40] [17d39bb3ec485d4ce196f61215d11ba1]
-    D    [Chi-Squared and McNemar Tests] [mini tutorial ] [2010-11-27 08:30:25] [75888b09f354cf7130ae5528df429303] [Current]
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Dataset

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

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'RServer@AstonUniversity' @ vre.aston.ac.uk
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102317&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102317&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102317&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'RServer@AstonUniversity' @ vre.aston.ac.uk
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Tabulation of Results
Gender x Empathy
12345
10318346
23828557

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Gender  x  Empathy \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 0 & 3 & 18 & 34 & 6 \tabularnewline
2 & 3 & 8 & 28 & 55 & 7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102317&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Gender  x  Empathy[/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]3[/C][C]18[/C][C]34[/C][C]6[/C][/ROW]
[C]2[/C][C]3[/C][C]8[/C][C]28[/C][C]55[/C][C]7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102317&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102317&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
Gender x Empathy
12345
10318346
23828557






Tabulation of Expected Results
Gender x Empathy
12345
11.134.1417.3233.514.9
21.876.8628.6855.498.1

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Gender  x  Empathy \tabularnewline
  & 1 & 2 & 3 & 4 & 5 \tabularnewline
1 & 1.13 & 4.14 & 17.32 & 33.51 & 4.9 \tabularnewline
2 & 1.87 & 6.86 & 28.68 & 55.49 & 8.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102317&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Gender  x  Empathy[/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]1.13[/C][C]4.14[/C][C]17.32[/C][C]33.51[/C][C]4.9[/C][/ROW]
[C]2[/C][C]1.87[/C][C]6.86[/C][C]28.68[/C][C]55.49[/C][C]8.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102317&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102317&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
Gender x Empathy
12345
11.134.1417.3233.514.9
21.876.8628.6855.498.1






Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Chi Square Statistic2.77
P value0.62

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Chi Square Statistic & 2.77 \tabularnewline
P value & 0.62 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=102317&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates)[/C][/ROW]
[ROW][C]Chi Square Statistic[/C][C]2.77[/C][/ROW]
[ROW][C]P value[/C][C]0.62[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=102317&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102317&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 simulated p-value (based on 2000 replicates)
Chi Square Statistic2.77
P value0.62


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
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')