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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Tests to Compare Two Means.wasp
Title produced by softwareT-Tests
Date of computationWed, 02 Jun 2010 09:38:01 +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/2010/Jun/02/t1275471509n5t2m6n1qtvxtui.htm/, Retrieved Thu, 28 Mar 2024 10:27:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77050, Retrieved Thu, 28 Mar 2024 10:27:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [two-way anova wit...] [2010-05-26 17:02:24] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD  [Two-Way ANOVA] [ANOVA with good l...] [2010-05-28 23:09:47] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R       [Variability] [ANOVA with better...] [2010-05-29 09:47:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R         [Variability] [ANOVA with better...] [2010-05-29 09:54:40] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD          [T-Tests] [Section A Q2] [2010-06-02 09:38:01] [69b88441f2aadc95bef64d529cdae09a] [Current]
-    D            [T-Tests] [question 2 diffe...] [2010-06-02 09:47:53] [609c1e5ad6fe9b179b6d83d13356f854]
- RMPD            [Two-Way ANOVA] [t test 2] [2010-06-02 10:25:53] [609c1e5ad6fe9b179b6d83d13356f854]
- RMPD            [Two-Way ANOVA] [two factor anova ...] [2010-06-02 10:30:44] [609c1e5ad6fe9b179b6d83d13356f854]
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Dataseries X:
1.1	1.8
3.5	5.2
-1	3.9
0.1	2.4
0.4	7.2
3.7	8.4
-0.4	8
5.9	0
1.4	2.8
0.9	8.2
0.6	5
-1	5.9
1.6	3.2
0.5	2.6
-2.7	5.8
1.3	2.8
5	9.6
1.6	7.4
3.4	5.01




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77050&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77050&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'Gwilym Jenkins' @ 72.249.127.135







T-Test
Mean11.36316
Mean25.01105
T Statistic-4.66683
P-value4e-05
Lower Confidence Limit-5.23551
Upper Confidence Limit-2.06028

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 1.36316 \tabularnewline
Mean2 & 5.01105 \tabularnewline
T Statistic & -4.66683 \tabularnewline
P-value & 4e-05 \tabularnewline
Lower Confidence Limit & -5.23551 \tabularnewline
Upper Confidence Limit & -2.06028 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77050&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]1.36316[/C][/ROW]
[ROW][C]Mean2[/C][C]5.01105[/C][/ROW]
[ROW][C]T Statistic[/C][C]-4.66683[/C][/ROW]
[ROW][C]P-value[/C][C]4e-05[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-5.23551[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]-2.06028[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77050&T=1

As an alternative you can also use a QR Code:  

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

T-Test
Mean11.36316
Mean25.01105
T Statistic-4.66683
P-value4e-05
Lower Confidence Limit-5.23551
Upper Confidence Limit-2.06028







Standard Deviations
Variable 12.14766
Variable 22.6451

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 2.14766 \tabularnewline
Variable 2 & 2.6451 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77050&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]2.14766[/C][/ROW]
[ROW][C]Variable 2[/C][C]2.6451[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77050&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77050&T=2

As an alternative you can also use a QR Code:  

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

Standard Deviations
Variable 12.14766
Variable 22.6451



Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = TRUE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = TRUE ;
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)
par7 <- as.numeric(par7)
par8 <- as.logical(par8)
if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE
x <- t(y)
if(par8){
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 == 'T-Test')
{
T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6, conf.level=par7)
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'T-Test',3,TRUE)
a <- table.row.end(a)
if(paired){
a <- table.row.start(a)
a <- table.element(a,'Difference: Mean1 - Mean2',1,TRUE)
a<-table.element(a,round(T$estimate, digits=5) )
a <- table.row.end(a)
}
if(!paired){
a <- table.row.start(a)
a <- table.element(a,'Mean1',1,TRUE)
a<-table.element(a,round(T$estimate[1], digits=5) )
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Mean2',1,TRUE)
a<-table.element(a,round(T$estimate[2], digits=5) )
a <- table.row.end(a)
}
a <- table.row.start(a)
a <- table.element(a,'T Statistic',1,TRUE)
a<-table.element(a,round(T$statistic, digits=5) )
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'P-value',1,TRUE)
a<-table.element(a,round(T$p.value, digits=5) )
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Lower Confidence Limit',1,TRUE)
a<-table.element(a,round(T$conf.int[1], digits=5) )
a <- table.row.end(a)
a<-table.row.start(a)
a <- table.element(a,'Upper Confidence Limit',1,TRUE)
a<-table.element(a,round(T$conf.int[2], digits=5) )
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
}
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'Standard Deviations',3,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Variable 1',1,TRUE)
a<-table.element(a,round(sd(x[,par2]), digits=5) )
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Variable 2',1,TRUE)
a<-table.element(a,round(sd(x[,par3]), digits=5) )
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')