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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 06:24:50 -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/t1338546301n1j5qvi2kejji20.htm/, Retrieved Thu, 02 May 2024 00:48:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168671, Retrieved Thu, 02 May 2024 00:48:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152

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]
- R       [Simple Linear Regression] [Weight loss and T...] [2012-06-01 08:45:07] [b7df83e0fc4d05ddde076a5a0ec0675f]
- RMPD        [T-Tests] [True weight and s...] [2012-06-01 10:24:50] [8a77790fd0dd1ee05b7dec421ec6930e] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=168671&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=168671&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168671&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Wilcoxon Test
StatisticP-value
Wilcoxon Test253230

\begin{tabular}{lllllllll}
\hline
Wilcoxon Test \tabularnewline
 & Statistic & P-value \tabularnewline
Wilcoxon Test & 25323 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168671&T=1

[TABLE]
[ROW][C]Wilcoxon Test[/C][/ROW]
[ROW][C][/C][C]Statistic[/C][C]P-value[/C][/ROW]
[ROW][C]Wilcoxon Test[/C][C]25323[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168671&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168671&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:

Wilcoxon Test
StatisticP-value
Wilcoxon Test253230






Standard Deviations
Variable 10.49892
Variable 22.31974

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 0.49892 \tabularnewline
Variable 2 & 2.31974 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168671&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]0.49892[/C][/ROW]
[ROW][C]Variable 2[/C][C]2.31974[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168671&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168671&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 10.49892
Variable 22.31974


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = a-102020117_0.0795872434973717_Fri Jun 1 06:02:23 2012 ; par2 = s2 ; par3 = fac989447cad2edbc89fbcba70003b36 ; par4 = 16 ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = Wilcoxon-Mann_Whitney ; 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], 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')