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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_STARS_Bullying_Study_alt.wasp
Title produced by softwareChi-Square Test
Date of computationSat, 07 Dec 2013 07:13:06 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/07/t1386418401otqpaoxuyuvn9fq.htm/, Retrieved Thu, 18 Apr 2024 07:17:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231372, Retrieved Thu, 18 Apr 2024 07:17:09 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [Bullying by Gender] [2009-11-23 19:30:44] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Chi Square Measure of Association- Free Statistics Software (Calculator)] [Bullying by Gende...] [2009-11-24 18:28:32] [b98453cac15ba1066b407e146608df68]
- R       [Chi Square Measure of Association- Free Statistics Software (Calculator)] [STARS Bullying Study] [2009-11-25 00:02:16] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD      [Chi-Square Test] [STARS Bullying Study] [2010-11-15 17:05:23] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R           [Chi-Square Test] [STARS Bullying Data] [2010-11-16 14:40:36] [98fd0e87c3eb04e0cc2efde01dbafab6]
-  MP           [Chi-Square Test] [chi2 Example - Ty...] [2011-11-14 11:58:51] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD              [Chi-Square Test] [type] [2013-12-07 12:13:06] [b3d54ce9f376d485c749f6f68ac3378f] [Current]
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Dataseries X:
'g'	'Both'
'g'	'Physical'
'g'	'Mental'
'g'	'Mental'
'b'	'Physical'
'b'	'Physical'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Mental'
'g'	'Not_bul'
'b'	'Mental'
'g'	'Mental'
'b'	'Both'
'g'	'Not_bul'
'g'	'Mental'
'b'	'Mental'
'b'	'Both'
'b'	'Mental'
'g'	'Not_bul'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Mental'
'b'	'Both'
'b'	'Not_bul'
'b'	'Mental'
'b'	'Both'
'b'	'Both'
'g'	'Not_bul'
'b'	'Both'
'g'	'Mental'
'b'	'Both'
'g'	'Physical'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Mental'
'g'	'Mental'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Both'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Physical'
'g'	'Not_bul'
'g'	'Mental'
'g'	'Both'
'b'	'Physical'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Mental'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Mental'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Mental'
'g'	'Mental'
'b'	'Both'
'b'	'Both'
'g'	'Not_bul'
'b'	'Mental'
'g'	'Mental'
'b'	'Mental'
'b'	'Mental'
'b'	'Physical'
'g'	'Mental'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Both'
'g'	'Mental'
'g'	'Mental'
'b'	'Mental'
'b'	'Not_bul'
'b'	'Not_bul'
'b'	'Mental'
'g'	'Not_bul'
'g'	'Mental'
'g'	'Mental'
'g'	'Physical'
'b'	'Not_bul'
'b'	'Physical'
'g'	'Mental'
'b'	'Mental'
'b'	'Mental'
'g'	'Mental'
'g'	'Mental'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Mental'
'g'	'Not_bul'
'g'	'Mental'
'g'	'Both'
'g'	'Mental'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Mental'
'g'	'Mental'
'b'	'Mental'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Physical'
'g'	'Both'
'g'	'Physical'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Both'
'b'	'Not_bul'
'b'	'Physical'
'b'	'Both'
'g'	'Not_bul'
'g'	'Both'
'b'	'Both'
'b'	'Physical'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Mental'
'g'	'Mental'
'g'	'Not_bul'
'b'	'Mental'
'g'	'Mental'
'g'	'Not_bul'
'b'	'Mental'
'g'	'Physical'
'g'	'Both'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Mental'
'b'	'Physical'
'b'	'Mental'
'g'	'Mental'
'g'	'Not_bul'
'b'	'Both'
'g'	'Mental'
'b'	'Mental'
'g'	'Mental'
'g'	'Mental'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Mental'
'b'	'Not_bul'
'b'	'Both'
'g'	'Both'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Both'
'b'	'Mental'
'g'	'Not_bul'
'b'	'Mental'
'g'	'Not_bul'
'b'	'Mental'
'b'	'Physical'
'b'	'Mental'
'g'	'Not_bul'
'b'	'Mental'
'g'	'Both'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Mental'
'b'	'Physical'
'b'	'Mental'
'g'	'Mental'
'g'	'Not_bul'
'b'	'Physical'
'g'	'Both'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Mental'
'b'	'Mental'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Mental'
'b'	'Physical'
'g'	'Mental'
'g'	'Both'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231372&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231372&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231372&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'Gwilym Jenkins' @ jenkins.wessa.net







Tabulation of Results
type_of_bullying x type_of_bullying
BothMentalNot_bulPhysical
Both27000
Mental06500
Not_bul00820
Physical00019

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
type_of_bullying  x  type_of_bullying \tabularnewline
  & Both & Mental & Not_bul & Physical \tabularnewline
Both & 27 & 0 & 0 & 0 \tabularnewline
Mental & 0 & 65 & 0 & 0 \tabularnewline
Not_bul & 0 & 0 & 82 & 0 \tabularnewline
Physical & 0 & 0 & 0 & 19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231372&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]type_of_bullying  x  type_of_bullying[/C][/ROW]
[ROW][C] [/C][C]Both[/C][C]Mental[/C][C]Not_bul[/C][C]Physical[/C][/ROW]
[C]Both[/C][C]27[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]Mental[/C][C]0[/C][C]65[/C][C]0[/C][C]0[/C][/ROW]
[C]Not_bul[/C][C]0[/C][C]0[/C][C]82[/C][C]0[/C][/ROW]
[C]Physical[/C][C]0[/C][C]0[/C][C]0[/C][C]19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231372&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231372&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
type_of_bullying x type_of_bullying
BothMentalNot_bulPhysical
Both27000
Mental06500
Not_bul00820
Physical00019







Tabulation of Expected Results
type_of_bullying x type_of_bullying
BothMentalNot_bulPhysical
Both3.789.0911.472.66
Mental9.0921.8927.626.4
Not_bul11.4727.6234.848.07
Physical2.666.48.071.87

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
type_of_bullying  x  type_of_bullying \tabularnewline
  & Both & Mental & Not_bul & Physical \tabularnewline
Both & 3.78 & 9.09 & 11.47 & 2.66 \tabularnewline
Mental & 9.09 & 21.89 & 27.62 & 6.4 \tabularnewline
Not_bul & 11.47 & 27.62 & 34.84 & 8.07 \tabularnewline
Physical & 2.66 & 6.4 & 8.07 & 1.87 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231372&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]type_of_bullying  x  type_of_bullying[/C][/ROW]
[ROW][C] [/C][C]Both[/C][C]Mental[/C][C]Not_bul[/C][C]Physical[/C][/ROW]
[C]Both[/C][C]3.78[/C][C]9.09[/C][C]11.47[/C][C]2.66[/C][/ROW]
[C]Mental[/C][C]9.09[/C][C]21.89[/C][C]27.62[/C][C]6.4[/C][/ROW]
[C]Not_bul[/C][C]11.47[/C][C]27.62[/C][C]34.84[/C][C]8.07[/C][/ROW]
[C]Physical[/C][C]2.66[/C][C]6.4[/C][C]8.07[/C][C]1.87[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231372&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231372&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
type_of_bullying x type_of_bullying
BothMentalNot_bulPhysical
Both3.789.0911.472.66
Mental9.0921.8927.626.4
Not_bul11.4727.6234.848.07
Physical2.666.48.071.87







Statistical Results
Pearson's Chi-squared test
Chi Square Statistic579
Degrees of Freedom9
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 579 \tabularnewline
Degrees of Freedom & 9 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231372&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]579[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]9[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231372&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231372&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
Chi Square Statistic579
Degrees of Freedom9
P value0



Parameters (Session):
par1 = 2 ; par2 = 2 ; par3 = Pearson Chi-Square ;
Parameters (R input):
par1 = 2 ; par2 = 2 ; par3 = Pearson Chi-Square ;
R code (references can be found in the software module):
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi Square 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])
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) )
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')