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Author's title

Author

*Unverified author*

R Software Module

rwasp_Tests to Compare Two Means.wasp

Title produced by software

T-Tests

Date of computation

Fri, 27 Apr 2012 22:41:40 -0400

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/2012/Apr/27/t1335581014a5rfud8g9xrhn6b.htm/, Retrieved Mon, 29 Apr 2024 03:51:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164981, Retrieved Mon, 29 Apr 2024 03:51:54 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

178

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

-       [T-Tests] [PE vs non-PE GAdel] [2012-04-28 02:41:40] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

32.4	38.4
36.9	38.0
29.6	40.1
36.1	40.4
25.6	38.9
36.3	39.0
39.7	39.0
36.6	40.0
31.1	37.6
40.9	40.1
38.4	39.4
34.1	39.9
35.9	39.3
32.0	41.6
39.1	39.6
35.4	39.1
31.7	39.4
40.3	40.7
36.0	38.7
37.3	38.7
35.3	40.0
37.0	40.9
36.4	40.0
27.3	38.0
32.0	40.0
41.0	41.4
30.1	39.3
33.0	39.9
29.7	40.7
34.4	39.4
34.3	41.3
37.7	37.9
28.9	39.0
31.4	40.0
33.1	38.4
40.1	39.3
39.3	41.0
36.3	40.7
37.0	39.9
33.7	37.3
36.6	37.7
37.3	38.9
34.1	41.7
29.6	38.3
33.4	39.9
36.6	38.9
34.4	42.0
30.4	39.9
36.9	39.1
41.0	38.6
37.6	41.0
36.1	40.4
41.0	41.4
38.7	38.4
39.0	40.9
37.0	40.1
39.6	39.9
33.4	40.9
36.3	40.7
34.3	40.0
38.9	41.3
36.7	41.4
26.0	40.7
31.6	40.4
27.0	39.0
36.6	40.1
30.1	39.3
37.0	41.3
33.9	39.1
37.1	40.9
34.1	39.9
35.1	40.3
35.9	40.4
31.9	40.4
36.9	40.4
39.0	38.1
41.4	37.6
41.9	39.7
30.3	38.7
30.4	40.4
29.1	41.1
40.9	39.6
35.9	40.9
28.6	40.3
37.6	40.9
29.7	40.1
35.9	40.6
33.0	39.7
38.3	41.1
32.7	41.6
31.4	41.0
25.4	38.9
37.7	40.3
38.7	41.4
39.9	39.9
38.4	40.0
40.7	37.9
33.0	39.9
32.0	39.7
30.7	40.4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164981&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164981&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164981&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	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

T-Test
Mean1	34.981
Mean2	39.857
T Statistic	-11.91199
P-value	0
Lower Confidence Limit	-5.68692
Upper Confidence Limit	-4.06508

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 34.981 \tabularnewline
Mean2 & 39.857 \tabularnewline
T Statistic & -11.91199 \tabularnewline
P-value & 0 \tabularnewline
Lower Confidence Limit & -5.68692 \tabularnewline
Upper Confidence Limit & -4.06508 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164981&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]34.981[/C][/ROW]
[ROW][C]Mean2[/C][C]39.857[/C][/ROW]
[ROW][C]T Statistic[/C][C]-11.91199[/C][/ROW]
[ROW][C]P-value[/C][C]0[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-5.68692[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]-4.06508[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164981&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164981&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
Mean1	34.981
Mean2	39.857
T Statistic	-11.91199
P-value	0
Lower Confidence Limit	-5.68692
Upper Confidence Limit	-4.06508

Standard Deviations
Variable 1	3.94932
Variable 2	1.07631

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 3.94932 \tabularnewline
Variable 2 & 1.07631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164981&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]3.94932[/C][/ROW]
[ROW][C]Variable 2[/C][C]1.07631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164981&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164981&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 1	3.94932
Variable 2	1.07631

Figure 1

PNG link

Postscript link

PDF link

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):

par8 <- 'TRUE'
par7 <- '0.95'
par6 <- '0.0'
par5 <- 'unpaired'
par4 <- 'T-Test'
par3 <- '2'
par2 <- '1'
par1 <- 'two.sided'
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], na.rm=TRUE), 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], na.rm=TRUE), digits=5) )
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')

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Tables (Output of Computation)

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Input Parameters & R Code