FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

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 computationFri, 01 Jun 2012 05:37:54 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jun/01/t1338543491uiccmse5j69il80.htm/, Retrieved Wed, 01 May 2024 23:18:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168350, Retrieved Wed, 01 May 2024 23:18:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [Triglyceridge Reg...] [2011-07-07 15:11:49] [74be16979710d4c4e7c6647856088456]
- R     [Simple Linear Regression] [Triglyceride] [2012-05-04 19:33:41] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD      [T-Tests] [Paired T-test] [2012-06-01 09:37:54] [fbd1c430764f5465434a50e9c7f59e0b] [Current]
- R  D        [T-Tests] [] [2012-06-01 10:12:57] [1fdae06cd37eb75b39409834993e4ec0]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0	2
7	2
-1	3
-2	2
0	2
0	5
-1	2
-4	6
0	3
1	1
-5	1
110	-106
-1	3
0	3
-5	3
-1	1
-9	3
1	-3
0	4
-5	2
0	0
-1	2
-4	3
-5	3
0	1
2	1
-2	6
-2	4
1	3
0	1
2	3
3	0
0	3
5	1
-1	-1
2	1
0	3
2	3
-2	-1
1	4
0	0
4	4
-2	3
3	4
-1	2
-4	1
0	4
-3	-1
-1	2
1	1
-5	0
1	4
-1	3
5	3
-1	3
-1	0
0	7
-5	5
3	4
-1	4
1	2
1	2
2	3
1	3
2	3
1	4
0	-2
1	2
-1	4
0	5
-5	-1
-1	2
-1	2
-1	0
1	2
-1	-2
1	-6
5	4
0	0
-2	-1
-4	3
0	0
-2	3
1	2
2	3
0	0
-2	1
-2	0
1	4
-1	5
2	3
0	4
0	6
0	1
0	3
0	3
0	3
-1	2
2	4
1	2
2	3
0	1
4	3
-6	0
0	8
-2	3
0	0
-1	2
0	5
0	3
2	1
-1	4
-1	0
1	3
-4	2
0	3
0	2	
0	4
0	2
0	2
1	3
-2	0
3	2
3	0
-1	2
0	2
2	4
-1	3
2	2
-2	0
-1	3
-2	2
-1	0
-2	0
0	5
0	0
4	-1
3	3
2	1
-1	3
0	2
2	-2
4	3
-4	4
1	-2
1	2
1	3
0	1
1	4
1	1
-2	2
0	4
1	2
0	1
1	2
3	3
1	4
0	0
2	0
3	0
-1	5
-1	3
0	1
2	1
4	5
0	0
0	2
5	4
4	3
1	3
1	3
-5	-3
3	0
0	-1
0	-2
1	3
3	0
3	0
-1	3
-2	-1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168350&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168350&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168350&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






T-Test
Difference: Mean1 - Mean2-0.80556
T Statistic-0.65432
P-value0.51375
Lower Confidence Limit-3.23497
Upper Confidence Limit1.62386

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Difference: Mean1 - Mean2 & -0.80556 \tabularnewline
T Statistic & -0.65432 \tabularnewline
P-value & 0.51375 \tabularnewline
Lower Confidence Limit & -3.23497 \tabularnewline
Upper Confidence Limit & 1.62386 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168350&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.80556[/C][/ROW]
[ROW][C]T Statistic[/C][C]-0.65432[/C][/ROW]
[ROW][C]P-value[/C][C]0.51375[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-3.23497[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]1.62386[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168350&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168350&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:

T-Test
Difference: Mean1 - Mean2-0.80556
T Statistic-0.65432
P-value0.51375
Lower Confidence Limit-3.23497
Upper Confidence Limit1.62386






Standard Deviations
Variable 18.5175
Variable 28.29491

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 8.5175 \tabularnewline
Variable 2 & 8.29491 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168350&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]8.5175[/C][/ROW]
[ROW][C]Variable 2[/C][C]8.29491[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168350&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168350&T=2

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


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

Standard Deviations
Variable 18.5175
Variable 28.29491


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = paired ; par6 = 0.0 ; par7 = 0.95 ; par8 = TRUE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = paired ; 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], 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')