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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_STARS_Bullying_Study_alt.wasp

Title produced by software

Chi-Square Test

Date of computation

Tue, 10 Dec 2013 00:54:47 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/10/t1386654898dc4c2fdrb0tbv4l.htm/, Retrieved Tue, 16 Apr 2024 20:48:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231814, Retrieved Tue, 16 Apr 2024 20:48:31 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

121

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Chi-Square Test] [bfb] [2013-12-10 05:54:47] [484684ace344613261e9d42f8b508066] [Current]
- R P     [Chi-Square Test] [fv x ] [2013-12-10 05:56:45] [f5a78e43a72453a0ac95ed91288a63ee] 

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Dataseries X:

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Histogram

Boxplots

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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231814&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231814&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231814&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gertrude Mary Cox' @ cox.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):

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code