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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_Tests to Compare Two Means.wasp
Title produced by softwareAston University Statistical Software
Date of computationWed, 02 Dec 2009 12:18:49 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/02/t12597816041uj1qnrdxlfxbmp.htm/, Retrieved Tue, 25 Aug 2026 10:45:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62538, Retrieved Tue, 25 Aug 2026 10:45:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact420

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Test of Two Means] [2009-11-10 17:16:17] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Aston University Statistical Software] [Compare Two Means] [2009-11-11 08:09:40] [74be16979710d4c4e7c6647856088456]
-    D    [Aston University Statistical Software] [PY2236 Week 6 dat...] [2009-11-11 12:53:10] [74be16979710d4c4e7c6647856088456]
-   PD        [Aston University Statistical Software] [Langauge&Communic...] [2009-12-02 19:18:49] [51efb7625298d61c10eefc8c3cf6f080] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	8
7	5
11	1
12	0
12	0
11	1
11	1
12	0
12	0
11	1
12	0
12	0
12	0
5	7
12	0
12	0
9	3
12	0
10	2
10	2
12	0
12	0
11	1
12	0
10	2
12	0
9	3
12	0
12	0
10	2
11	1
12	0
12	0
12	0
12	0
11	1
8	4
11	1
11	1
11	1
12	0
12	0
12	0
7	5
11	1
12	0
10	2
11	1
11	1
11	1
10	2
12	0
12	0
12	0
10	2
12	0
9	3
10	2
11	1
11	1
10	2
11	1
9	3
12	0
10	2
11	1
10	2
12	0
10	2
11	1
12	0
9	3
10	2
10	2
10	2
8	4
6	6
12	0
10	2
10	2
12	0
11	1
11	1
10	2
11	1
12	0

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62538&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62538&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62538&T=0

As an alternative you can also use a QR Code:  
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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Students T-Test
StatisticP-value
Students T-Test26.827630

\begin{tabular}{lllllllll}
\hline
Students T-Test \tabularnewline
 & Statistic & P-value \tabularnewline
Students T-Test & 26.82763 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62538&T=1

[TABLE]
[ROW][C]Students T-Test[/C][/ROW]
[ROW][C][/C][C]Statistic[/C][C]P-value[/C][/ROW]
[ROW][C]Students T-Test[/C][C]26.82763[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62538&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62538&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Students T-Test
StatisticP-value
Students T-Test26.827630


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = Students T-Test ; par5 = paired ; par6 = 0.0 ; par8 = FALSE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = Students T-Test ; par5 = paired ; par6 = 0.0 ; par7 = ; par8 = FALSE ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.character(par4)
par5 <- as.character(par5)
par6 <- as.numeric(par6)
if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE
x <- t(y)
bitmap(file='test1.png')
(r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2))
dev.off()
load(file='createtable')
if( par4 == 'Wilcoxon-Mann_Whitney'){
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'Wilcoxon Test',3,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'',1,TRUE)
a <- table.element(a,'Statistic',1,TRUE)
a <- table.element(a,'P-value',1,TRUE)
a <- table.row.end(a)
W <- wilcox.test(x[,par2],x[,par3],alternative=par1, paired = paired)
a<-table.row.start(a)
a<-table.element(a,'Wilcoxon Test',1,TRUE)
a<-table.element(a,W$statistic[[1]])
a<-table.element(a,round(W$p.value, digits=5) )
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
}
if( par4 == 'Students T-Test')
{
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'Students T-Test',3,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'',1,TRUE)
a <- table.element(a,'Statistic',1,TRUE)
a <- table.element(a,'P-value',1,TRUE)
a <- table.row.end(a)
T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6)
a<-table.row.start(a)
a<-table.element(a,'Students T-Test',1,TRUE)
a<-table.element(a,round(T$statistic[[1]], digits=5) )
a<-table.element(a,round(T$p.value, digits=5) )
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
}