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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 computationMon, 30 Nov 2009 17:48:54 +0100
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/Nov/30/t1259599883os87g02vtxrb5tv.htm/, Retrieved Wed, 01 May 2024 17:46:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61814, Retrieved Wed, 01 May 2024 17:46:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108
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] [Figure 2- Boxplot...] [2009-11-30 16:48:54] [74796c6e63434b8a78c4bb91139ba5b0] [Current]
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Dataseries X:
4		7
7		5
11		11
12		10
12		10
11		10
11		9
12		9
12		7
11		9
12		6
12		10
12		7
5		4
12		10
12		11
9		10
12		10
10		7
10		9
12		7
12		11
11		7
12		9
10		9
12		8
9		8
12		10
12		9
10		11
11		9
12		8
12		8
12		7
12		10
11		10
8		8
11		8
11		11
11		9
12		9
12		7
12		11
7		8
11		8
12		9
10		4
11		11
11		8
11		8
10		7
12		9
12		8
12		9
10		6
12		11
9		8
10		9
11		11
11		4
10		8
11		11
9		10
12		8
10		1
11		10
10		6
12		10
10		7
11		7
12		7
9		11
10		10
10		6
10		6
8		7
6		2
12		11
10		9
10		12
12		11
11		11
11		7
10		7
11		12
12		9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk
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 & 1 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \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=61814&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/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=61814&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61814&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 time1 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk
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-Test9.808270

\begin{tabular}{lllllllll}
\hline
Students T-Test \tabularnewline
 & Statistic & P-value \tabularnewline
Students T-Test & 9.80827 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61814&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]9.80827[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61814&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61814&T=1

As an alternative you can also use a QR Code:  

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

Students T-Test
StatisticP-value
Students T-Test9.808270



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')
}