Free Statistics

of Irreproducible Research!

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 computationThu, 11 Dec 2014 16:36:43 +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/2014/Dec/11/t1418315826h1eeryqgl6q9gj3.htm/, Retrieved Thu, 16 May 2024 17:28:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266195, Retrieved Thu, 16 May 2024 17:28:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Chi-Square Test] [Gender and 'Type ...] [2014-12-11 16:36:43] [b873e774e8a4e46d804a5e21aa681bfc] [Current]
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Dataseries X:
g'	'Often'
'g'	'Not_bul'
'g'	'Rarely'
'g'	'Rarely'
'b'	'Not_bul'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'b'	'Often'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'b'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Often'
'b'	'Often'
'b'	'Not_bul'
'b'	'Not_bul'
'b'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'b'	'Often'
'g'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Rarely'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Not_bul'
'g'	'Often'
'g'	'Often'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Rarely'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Rarely'
'g'	'Not_bul'
'g'	'Often'
'g'	'Often'
'g'	'Rarely'
'b'	'Often'
'b'	'Rarely'
'g'	'Rarely'
'b'	'Rarely'
'g'	'Rarely'
'b'	'Often'
'b'	'Not_bul'
'b'	'Often'
'g'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Rarely'
'g'	'Rarely'
'g'	'Not_bul'
'b'	'Rarely'
'b'	'Rarely'
'b'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'g'	'Rarely'
'g'	'Not_bul'
'g'	'Often'
'b'	'Often'
'b'	'Often'
'g'	'Not_bul'
'b'	'Often'
'b'	'Rarely'
'g'	'Often'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Often'
'g'	'Often'
'g'	'Often'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Rarely'
'g'	'Often'
'b'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'g'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'b'	'Often'
'b'	'Often'
'b'	'Rarely'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Often'
'b'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Rarely'
'g'	'Often'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Rarely'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Rarely'
'g'	'Rarely'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Often'
'b'	'Rarely'
'b'	'Rarely'
'g'	'Often'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Often'
'b'	'Rarely'
'g'	'Rarely'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Rarely'
'b'	'Not_bul'
'b'	'Often'
'g'	'Often'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'b'	'Often'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Often'
'b'	'Rarely'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Often'
'g'	'Often'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'g'	'Often'
'b'	'Rarely'
'b'	'Often'
'g'	'Rarely'
'g'	'Often'
'b'	'Rarely'
'g'	'Rarely'
'b'	'Not_bul'
'b'	'Not_bul'
'g'	'Rarely'
'b'	'Rarely'
'g'	'Not_bul'
'b'	'Not_bul'
'g'	'Not_bul'
'b'	'Rarely'
'g'	'Not_bul'
'g'	'Often'
'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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266195&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266195&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266195&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net



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