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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 computationFri, 26 Nov 2010 16:19:27 +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/26/t12907882722ay16zoo7c8dfry.htm/, Retrieved Thu, 02 May 2024 04:03:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=102061, Retrieved Thu, 02 May 2024 04:03:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
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]
-       [Chi-Squared and McNemar Tests] [MiniA- Hypothese ...] [2010-11-23 13:42:30] [17d39bb3ec485d4ce196f61215d11ba1]
- R P       [Chi-Squared and McNemar Tests] [Assignment 2.2] [2010-11-26 16:19:27] [a35bd1e3fb5b4b301d5250bc2f7eb297] [Current]
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Dataseries X:
5	3
4	3
4	2
4	2
3	1
4	4
5	2
4	2
3	4
4	5
5	3
4	3
5	2
4	3
4	2
3	3
4	4
4	3
5	2
2	3
4	2
2	2
4	3
4	3
4	2
4	4
4	2
3	3
4	3
4	3
4	1
5	1
3	4
4	3
4	4
4	3
4	3
4	3
3	2
4	2
5	3
4	3
4	4
2	5
4	5
3	3
4	4
4	3
4	3
5	3
2	2
4	3
5	2
4	3
3	2
4	4
4	2
4	2
4	3
4	2
3	3
3	4
3	2
2	2
3	2
3	2
4	2
4	4
4	4
4	4
4	5
3	1
4	3
5	2
4	3
5	5
4	2
4	4
2	2
4	4
4	3
4	3
4	4
4	3
3	2
3	2
4	4
4	2
3	3
4	3
4	1
5	5
5	2
3	2
4	2
5	3
4	3
3	2
4	3
5	3
4	2
5	3
4	2
2	3
3	2
5	4
4	4
5	5
4	4
5	3
3	2
3	2
4	2
3	3
4	4
4	3
4	4
2	4
3	2
5	4
1	3
4	2
4	3
4	3
5	
4	2
5	3
5	5
4	2
4	3
4	3
4	3
4	4
4	3
5	3
3	2
3	1
4	4
4	3
3	3
4	3
3	2
4	3
2	1
4	2
4	5
4	2
4	3
4	2
4	3
5	2
5	3
4	4
4	3
5	4
4	3
5	5
4	1
4	2
3	4
4	2
5	3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=102061&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=102061&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=102061&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.



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#
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, colna#es#table1##nc#, 1, TRUE#
}
a<-table#row#end#a#
for#nr in 1:nrow#table1# #{
a<-table#element#a, rowna#es#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'#
if #par3 == 'McNemar Chi-Squared'# {
}
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, colna#es#table1##nc#, 1, TRUE#
}
a<-table#row#end#a#
for#nr in 1:nrow#table1# #{
a<-table#element#a, rowna#es#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'#