Free Statistics

of Irreproducible Research!

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 computationWed, 10 Nov 2010 15:53:42 +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/10/t1289404375dea9nblds22axqt.htm/, Retrieved Mon, 29 Apr 2024 12:56:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=93093, Retrieved Mon, 29 Apr 2024 12:56:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact240
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ECEL 2008] [ECEL2008 hypothes...] [2008-06-14 21:17:24] [74be16979710d4c4e7c6647856088456]
- RMPD  [Chi-Squared and McNemar Tests] [Chi squared 1] [2010-11-05 22:27:37] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
F R PD      [Chi-Squared and McNemar Tests] [Connected versus ...] [2010-11-10 15:53:42] [dc77c696707133dea0955379c56a2acd] [Current]
F             [Chi-Squared and McNemar Tests] [Happiness versus ...] [2010-11-10 16:00:07] [95e8426e0df851c9330605aa1e892ab5]
- R P         [Chi-Squared and McNemar Tests] [WS 6 Connected vs...] [2010-11-12 14:58:54] [7b479c2bada71feddb7d988499871dfc]
- R P         [Chi-Squared and McNemar Tests] [WS 6 Connected vs...] [2010-11-12 15:01:40] [7b479c2bada71feddb7d988499871dfc]
- R P         [Chi-Squared and McNemar Tests] [WS 6 Separated vs...] [2010-11-12 15:03:56] [7b479c2bada71feddb7d988499871dfc]
- R P         [Chi-Squared and McNemar Tests] [WS 6 Separated vs...] [2010-11-12 15:05:21] [7b479c2bada71feddb7d988499871dfc]
Feedback Forum
2010-11-23 10:52:30 [411b43619fc9db329bbcdbf7261c55fb] [reply
De student heeft hier de correcte berekening gemaakt. Hij merkt terecht op dat er geen verband bestaat tussen depression en connected. Dit is logisch aangezien de p-waarde hier 43% bedraagt (deze is hoger dan de type 1 fout (5%) die de student stelt). Hier zien we dat het verband volledig verdwijnt (tegenover de verfijnde oplossing (zie hieronder). Hier is het duidelijk dat wanneer je een te lage cell count hebt, dat het beter is om minder klassen te nemen. We zijn hier absoluut nog niet zeker of het verband niet bestaat, maar we kunnen het op basis van dit resultaat niet bevestigen.

De student had dezelfde berekening ook kunnen doen met de verfijnde oplossing. Daarom geef ik de student mijn berekening mee, om te kunnen vergelijken. (bekijk http://www.freestatistics.org/blog/index.php?v=date/2010/Nov/20/t1290249371a61vap88htvz271.htm/ voor A/B/C/D) Hier zien we dat de cell count te laag is (sommige waarden lager dan 5), daarom gebruiken we de “Exact Pearson Chi-squared by simulation”. Deze berekening kan je op dezelfde wijze interpreteren als de groffe oplossing (HI/LO). Wel even opmerken dat het opvallend is dat er hier wel een verband zou zijn (en tussen happiness en connected juist niet). We zien hier dat als er een verband zou zijn, dat het een negatief verband was.

Post a new message
Dataseries X:
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'LO'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'LO'	'HI'	'HI'
'LO'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'LO'	'LO'	'HI'
'HI'	'LO'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'LO'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'LO'	'HI'	'HI'	'HI'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'
'LO'	'HI'	'LO'	'LO'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'LO'
'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'HI'	'LO'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'LO'
'HI'	'LO'	'HI'	'HI'
'LO'	'LO'	'LO'	'LO'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'LO'	'HI'	'LO'	'HI'
'LO'	'HI'	'HI'	'LO'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'LO'	'HI'	'HI'
'HI'	'LO'	'HI'	'LO'
'LO'	'LO'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'LO'
'HI'	'LO'	'LO'	'HI'
'HI'	'HI'	'HI'	'HI'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'HI'	'LO'
'HI'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'
'LO'	'LO'	'LO'	'HI'
'HI'	'LO'	'LO'	'HI'
'LO'	'HI'	'HI'	'HI'
'LO'	'HI'	'HI'	'LO'
'HI'	'LO'	'LO'	'LO'
'LO'	'HI'	'LO'	'HI'
'HI'	'HI'	'LO'	'HI'




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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93093&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93093&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Tabulation of Results
connected x depression
HILO
HI5740
LO4322

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
connected  x  depression \tabularnewline
  & HI & LO \tabularnewline
HI & 57 & 40 \tabularnewline
LO & 43 & 22 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93093&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]connected  x  depression[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]57[/C][C]40[/C][/ROW]
[C]LO[/C][C]43[/C][C]22[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93093&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Results
connected x depression
HILO
HI5740
LO4322







Tabulation of Expected Results
connected x depression
HILO
HI59.8837.12
LO40.1224.88

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
connected  x  depression \tabularnewline
  & HI & LO \tabularnewline
HI & 59.88 & 37.12 \tabularnewline
LO & 40.12 & 24.88 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93093&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]connected  x  depression[/C][/ROW]
[ROW][C] [/C][C]HI[/C][C]LO[/C][/ROW]
[C]HI[/C][C]59.88[/C][C]37.12[/C][/ROW]
[C]LO[/C][C]40.12[/C][C]24.88[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93093&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93093&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Expected Results
connected x depression
HILO
HI59.8837.12
LO40.1224.88







Statistical Results
Pearson's Chi-squared test with Yates' continuity correction
Chi Square Statistic0.61
Degrees of Freedom1
P value0.43

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with Yates' continuity correction \tabularnewline
Chi Square Statistic & 0.61 \tabularnewline
Degrees of Freedom & 1 \tabularnewline
P value & 0.43 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93093&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]0.61[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]1[/C][/ROW]
[ROW][C]P value[/C][C]0.43[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93093&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93093&T=3

As an alternative you can also use a 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 Statistic0.61
Degrees of Freedom1
P value0.43



Parameters (Session):
par1 = 1 ; par2 = 3 ; 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')