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Author

*The author of this computation has been verified*

R Software Module

rwasp_chi_squared_tests.wasp

Title produced by software

Chi-Squared Test, McNemar Test, and Fisher Exact Test

Date of computation

Sun, 17 Dec 2017 22:08:12 +0100

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/2017/Dec/17/t1513544930akasb7j3ld2l2zb.htm/, Retrieved Fri, 01 Nov 2024 00:19:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=310072, Retrieved Fri, 01 Nov 2024 00:19:05 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

101

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

-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Chi-Squared] [2017-12-17 21:08:12] [76a7b781f47830597f28f1491f5e4e14] [Current]

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Dataseries X:

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Histogram

Boxplots

'D-High'	'F'
'D-High'	'M'
'E-Very high'	'M'
'E-Very high'	'M'
'C-Average'	'M'
'D-High'	'M'
'D-High'	'M'
'E-Very high'	'F'
'D-High'	'F'
'D-High'	'M'
'D-High'	'M'
'E-Very high'	'F'
'E-Very high'	'M'
'D-High'	'F'
'E-Very high'	'F'
'E-Very high'	'M'
'D-High'	'F'
'D-High'	'M'
'E-Very high'	'M'
'B-Low'	'F'
'E-Very high'	'M'
'C-Average'	'F'
'B-Low'	'F'
'E-Very high'	'M'
'C-Average'	'F'
'D-High'	'M'
'E-Very high'	'M'
'E-Very high'	'F'
'D-High'	'F'
'D-High'	'F'
'E-Very high'	'M'
'C-Average'	'F'
'E-Very high'	'M'
'C-Average'	'M'
'B-Low'	'M'
'D-High'	'M'
'A-Very low'	'F'
'E-Very high'	'M'
'C-Average'	'F'
'D-High'	'M'
'D-High'	'F'
'D-High'	'F'
'D-High'	'M'
'E-Very high'	'F'
'E-Very high'	'F'
'D-High'	'M'
'E-Very high'	'M'
'E-Very high'	'M'
'D-High'	'M'
'D-High'	'M'
'D-High'	'M'
'C-Average'	'F'
'E-Very high'	'F'
'E-Very high'	'F'
'E-Very high'	'M'
'D-High'	'M'
'D-High'	'F'
'C-Average'	'M'
'D-High'	'F'
'E-Very high'	'F'
'D-High'	'M'
'D-High'	'M'
'D-High'	'M'
'E-Very high'	'M'
'B-Low'	'F'
'E-Very high'	'M'
'B-Low'	'M'
'D-High'	'M'
'E-Very high'	'M'
'D-High'	'M'
'C-Average'	'M'
'C-Average'	'F'
'E-Very high'	'M'
'E-Very high'	'M'
'D-High'	'F'
'D-High'	'M'
'D-High'	'F'
'E-Very high'	'M'
'A-Very low'	'M'
'E-Very high'	'F'
'E-Very high'	'F'
'D-High'	'M'
'D-High'	'F'
'D-High'	'F'
'E-Very high'	'M'
'D-High'	'M'
'D-High'	'F'
'D-High'	'F'
'D-High'	'F'
'D-High'	'M'
'E-Very high'	'M'
'E-Very high'	'M'
'E-Very high'	'M'
'B-Low'	'F'
'C-Average'	'F'
'E-Very high'	'F'
'E-Very high'	'F'
'C-Average'	'F'
'D-High'	'F'
'D-High'	'M'
'E-Very high'	'M'
'D-High'	'F'
'B-Low'	'F'
'C-Average'	'F'
'E-Very high'	'M'
'E-Very high'	'M'
'E-Very high'	'F'
'E-Very high'	'M'
'C-Average'	'M'
'D-High'	'F'
'B-Low'	'M'
'C-Average'	'M'
'B-Low'	'M'
'B-Low'	'M'
'E-Very high'	'M'
'C-Average'	'M'
'E-Very high'	'M'
'D-High'	'F'
'B-Low'	'M'
'D-High'	'M'
'D-High'	'M'
'D-High'	'M'
'D-High'	'F'
'C-Average'	'F'
'C-Average'	'F'
'C-Average'	'F'
'D-High'	'M'
'B-Low'	'M'
'D-High'	'F'
'D-High'	'M'
'C-Average'	'F'
'D-High'	'M'
'C-Average'	'M'
'B-Low'	'M'
'C-Average'	'F'
'E-Very high'	'M'
'D-High'	'M'
'B-Low'	'M'
'A-Very low'	'M'
'C-Average'	'F'
'B-Low'	'M'
'D-High'	'M'
'E-Very high'	'M'
'C-Average'	'M'
'C-Average'	'F'
'A-Very low'	'M'
'C-Average'	'M'
'E-Very high'	'M'
'D-High'	'M'
'E-Very high'	'F'
'D-High'	'F'
'D-High'	'F'
'C-Average'	'F'
'E-Very high'	'M'
'E-Very high'	'F'
'E-Very high'	'M'
'D-High'	'F'
'D-High'	'M'
'E-Very high'	'M'
'B-Low'	'F'
'C-Average'	'M'
'E-Very high'	'F'
'B-Low'	'F'
'B-Low'	'M'
'C-Average'	'F'
'E-Very high'	'M'
'D-High'	'M'
'C-Average'	'F'
'B-Low'	'M'
'C-Average'	'F'
'D-High'	'F'
'D-High'	'M'
'D-High'	'F'
'D-High'	'F'
'C-Average'	'M'
'D-High'	'M'
'E-Very high'	'M'
'E-Very high'	'M'
'C-Average'	'F'
'E-Very high'	'M'
'E-Very high'	'F'
'D-High'	'F'
'C-Average'	'M'
'C-Average'	'M'
'E-Very high'	'F'
'D-High'	'F'
'E-Very high'	'F'
'D-High'	'F'
'D-High'	'M'
'D-High'	'F'
'D-High'	'M'
'D-High'	'M'
'D-High'	'F'
'A-Very low'	'M'
'C-Average'	'M'
'D-High'	'M'
'C-Average'	'M'
'C-Average'	'M'
'E-Very high'	'M'
'D-High'	'M'
'D-High'	'M'
'C-Average'	'M'
'C-Average'	'F'
'C-Average'	'M'
'D-High'	'M'
'D-High'	'F'
'D-High'	'F'
'D-High'	'M'
'E-Very high'	'F'
'C-Average'	'F'
'C-Average'	'F'
'C-Average'	'M'
'E-Very high'	'M'
'C-Average'	'M'
'C-Average'	'M'
'D-High'	'F'
'E-Very high'	'M'
'D-High'	'M'
'A-Very low'	'F'
'C-Average'	'M'
'B-Low'	'F'
'C-Average'	'M'
'B-Low'	'F'
'B-Low'	'M'
'D-High'	'M'
'D-High'	'F'
'C-Average'	'M'
'E-Very high'	'F'
'C-Average'	'F'
'C-Average'	'M'
'C-Average'	'M'
'A-Very low'	'F'
'D-High'	'F'
'D-High'	'F'
'E-Very high'	'F'
'E-Very high'	'F'
'E-Very high'	'F'
'E-Very high'	'F'
'C-Average'	'M'
'E-Very high'	'M'
'E-Very high'	'M'
'C-Average'	'M'
'E-Very high'	'F'
'C-Average'	'M'
'E-Very high'	'F'
'B-Low'	'M'
'A-Very low'	'F'
'B-Low'	'F'
'E-Very high'	'F'
'E-Very high'	'M'
'C-Average'	'M'
'E-Very high'	'M'
'D-High'	'M'
'A-Very low'	'F'
'C-Average'	'M'
'E-Very high'	'F'
'C-Average'	'M'
'B-Low'	'M'
'B-Low'	'F'
'B-Low'	'M'
'B-Low'	'M'
'C-Average'	'M'
'D-High'	'M'
'C-Average'	'M'
'D-High'	'M'
'D-High'	'M'
'B-Low'	'M'
'E-Very high'	'F'
'D-High'	'M'
'C-Average'	'M'
'E-Very high'	'M'
'D-High'	'F'
'E-Very high'	'M'
'D-High'	'M'
'E-Very high'	'M'
'C-Average'	'F'
'D-High'	'F'
'E-Very high'	'F'
'C-Average'	'F'
'D-High'	'M'
'C-Average'	'F'
'B-Low'	'M'
'C-Average'	'M'
'D-High'	'M'
'E-Very high'	'M'
'D-High'	'F'
'C-Average'	'F'
'C-Average'	'M'
'E-Very high'	'F'
'D-High'	'M'
'D-High'	'M'
'D-High'	'M'
'B-Low'	'F'
'E-Very high'	'F'
'D-High'	'M'
'E-Very high'	'M'
'D-High'	'F'
'C-Average'	'M'
'D-High'	'M'
'D-High'	'F'
'C-Average'	'F'
'E-Very high'	'F'
'A-Very low'	'F'
'C-Average'	'F'
'D-High'	'M'
'C-Average'	'M'
'D-High'	'M'
'D-High'	'M'
'D-High'	'F'
'E-Very high'	'F'
'D-High'	'F'
'C-Average'	'M'
'E-Very high'	'M'
'C-Average'	'M'
'C-Average'	'M'
'D-High'	'M'
'D-High'	'M'
'C-Average'	'F'
'D-High'	'F'
'E-Very high'	'F'
'D-High'	'F'
'D-High'	'F'
'D-High'	'F'
'D-High'	'M'
'A-Very low'	'F'
'B-Low'	'F'
'C-Average'	'M'
'D-High'	'M'
'E-Very high'	'F'
'E-Very high'	'F'
'B-Low'	'F'
'E-Very high'	'F'
'E-Very high'	'F'
'D-High'	'F'
'D-High'	'F'
'E-Very high'	'M'
'D-High'	'M'
'C-Average'	'M'
'D-High'	'F'
'A-Very low'	'M'
'B-Low'	'M'
'B-Low'	'M'
'C-Average'	'M'
'A-Very low'	'F'
'C-Average'	'F'
'D-High'	'F'
'C-Average'	'F'
'B-Low'	'F'
'E-Very high'	'M'
'E-Very high'	'M'
'E-Very high'	'M'
'E-Very high'	'M'
'C-Average'	'M'
'C-Average'	'F'
'D-High'	'M'
'E-Very high'	'M'
'E-Very high'	'F'
'D-High'	'M'
'D-High'	'M'
'D-High'	'M'
'D-High'	'F'
'D-High'	'M'
'D-High'	'F'
'C-Average'	'M'
'D-High'	'F'
'A-Very low'	'F'
'C-Average'	'M'
'B-Low'	'F'
'E-Very high'	'M'
'E-Very high'	'M'
'C-Average'	'F'
'B-Low'	'F'
'E-Very high'	'M'
'C-Average'	'F'
'D-High'	'M'
'D-High'	'M'
'D-High'	'F'
'C-Average'	'M'
'C-Average'	'F'
'C-Average'	'M'
'D-High'	'F'
'C-Average'	'F'
'E-Very high'	'M'
'E-Very high'	'M'
'D-High'	'M'
'C-Average'	'F'
'D-High'	'F'
'D-High'	'F'
'D-High'	'F'
'D-High'	'F'
'D-High'	'M'
'D-High'	'F'
'B-Low'	'M'
'E-Very high'	'F'
'D-High'	'M'
'D-High'	'F'
'A-Very low'	'M'
'C-Average'	'F'
'B-Low'	'M'
'B-Low'	'F'
'E-Very high'	'F'
'A-Very low'	'F'
'C-Average'	'F'
'D-High'	'M'
'B-Low'	'M'
'E-Very high'	'F'
'B-Low'	'F'
'D-High'	'M'
'B-Low'	'M'
'D-High'	'F'
'B-Low'	'F'
'C-Average'	'F'
'C-Average'	'F'
'C-Average'	'M'
'E-Very high'	'M'
'C-Average'	'F'
'D-High'	'M'
'B-Low'	'F'
'B-Low'	'M'
'D-High'	'F'
'B-Low'	'M'
'E-Very high'	'M'
'D-High'	'M'
'C-Average'	'F'
'B-Low'	'M'
'D-High'	'M'
'C-Average'	'M'
'C-Average'	'F'
'C-Average'	'M'
'E-Very high'	'F'
'A-Very low'	'M'
'D-High'	'F'
'D-High'	'M'
'C-Average'	'F'
'E-Very high'	'M'
'B-Low'	'M'
'C-Average'	'M'
'E-Very high'	'M'
'D-High'	'M'
'C-Average'	'M'
'D-High'	'F'
'D-High'	'F'
'C-Average'	'F'
'D-High'	'M'
'C-Average'	'F'
'D-High'	'F'

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	Big Analytics Cloud Computing Center
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 Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \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=310072&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

2 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [ROW]

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=310072&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310072&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	Big Analytics Cloud Computing Center
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'.

Tabulation of Results
Intention_to_Use x genderC
	F	M
A-Very,low	10	7
B-Low	21	29
C-Average	50	56
D-High	72	87
E-Very,high	46	68

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Intention_to_Use  x  genderC
 \tabularnewline
  & F & M \tabularnewline
A-Very,low & 10 & 7 \tabularnewline
B-Low & 21 & 29 \tabularnewline
C-Average & 50 & 56 \tabularnewline
D-High & 72 & 87 \tabularnewline
E-Very,high & 46 & 68 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310072&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Intention_to_Use  x  genderC
[/C][/ROW]
[ROW][C] [/C][C]F[/C][C]M[/C][/ROW]
[C]A-Very,low[/C][C]10[/C][C]7[/C][/ROW]
[C]B-Low[/C][C]21[/C][C]29[/C][/ROW]
[C]C-Average[/C][C]50[/C][C]56[/C][/ROW]
[C]D-High[/C][C]72[/C][C]87[/C][/ROW]
[C]E-Very,high[/C][C]46[/C][C]68[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310072&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310072&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
Intention_to_Use x genderC
	F	M
A-Very,low	10	7
B-Low	21	29
C-Average	50	56
D-High	72	87
E-Very,high	46	68

Tabulation of Expected Results
Intention_to_Use x genderC
	F	M
A-Very,low	7.59	9.41
B-Low	22.31	27.69
C-Average	47.3	58.7
D-High	70.94	88.06
E-Very,high	50.87	63.13

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Intention_to_Use  x  genderC
 \tabularnewline
  & F & M \tabularnewline
A-Very,low & 7.59 & 9.41 \tabularnewline
B-Low & 22.31 & 27.69 \tabularnewline
C-Average & 47.3 & 58.7 \tabularnewline
D-High & 70.94 & 88.06 \tabularnewline
E-Very,high & 50.87 & 63.13 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310072&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Intention_to_Use  x  genderC
[/C][/ROW]
[ROW][C] [/C][C]F[/C][C]M[/C][/ROW]
[C]A-Very,low[/C][C]7.59[/C][C]9.41[/C][/ROW]
[C]B-Low[/C][C]22.31[/C][C]27.69[/C][/ROW]
[C]C-Average[/C][C]47.3[/C][C]58.7[/C][/ROW]
[C]D-High[/C][C]70.94[/C][C]88.06[/C][/ROW]
[C]E-Very,high[/C][C]50.87[/C][C]63.13[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310072&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310072&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
Intention_to_Use x genderC
	F	M
A-Very,low	7.59	9.41
B-Low	22.31	27.69
C-Average	47.3	58.7
D-High	70.94	88.06
E-Very,high	50.87	63.13

Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic	2.67
Degrees of Freedom	4
P value	0.61

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 2.67 \tabularnewline
Degrees of Freedom & 4 \tabularnewline
P value & 0.61 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=310072&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]2.67[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]4[/C][/ROW]
[ROW][C]P value[/C][C]0.61[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=310072&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=310072&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
Pearson Chi Square Statistic	2.67
Degrees of Freedom	4
P value	0.61

Figure 1

PNG link

Postscript link

PDF link

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):

par3 <- 'Pearson Chi-Squared'
par2 <- '2'
par1 <- '1'
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=='Fisher Exact Test') {
(cst <- fisher.test(table1))
}
if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
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)
if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
if (par3=='Fisher Exact Test') {
if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
} else {
a<-table.element(a, '--', 1,FALSE)
}
} else {
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
}
a<-table.row.end(a)
if(!simulate.p.value){
if(par3!='Fisher Exact Test') {
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