Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_Tests to Compare Two Means.wasp
Title produced by softwareT-Tests
Date of computationWed, 02 Jun 2010 09:55:47 +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/t1275472593p55sx8hw9l1jatx.htm/, Retrieved Fri, 29 Mar 2024 08:28:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77105, Retrieved Fri, 29 Mar 2024 08:28:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram and QQplot] [PY2224 Aston Work...] [2009-10-06 09:57:09] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P   [Histogram and QQplot] [Histogram and QQPlot] [2009-10-12 19:58:08] [cefd16489930d37792a2dfe143e1dd64]
- RMPD    [Boxplot and Trimmed Means] [] [2010-06-02 09:46:12] [981ccd4f0082ace49a11aa7a2b792a9c]
- RMPD        [T-Tests] [] [2010-06-02 09:55:47] [08805e86e61bf35728943c4aec6d6f47] [Current]
Feedback Forum

Post a new message
Dataseries X:
1	-1.1
1	-3.5
1	1
1	-0.1
1	-0.4
1	-3.7
1	0.4
1	-5.9
1	-1.4
1	-0.9
1	-0.6
1	1
1	-1.6
1	-0.5
1	2.7
1	-1.3
1	-5
1	-1.6
1	-3.4
2	-1.8
2	-5.2
2	-3.9
2	-2.4
2	-7.2
2	-8.4
2	-8
2	0
2	-2.8
2	-8.2
2	-5
2	-5.9
2	-3.2
2	-2.6
2	-5.8
2	-2.8
2	-9.6
2	-7.4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77105&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77105&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77105&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







T-Test
Mean11.48649
Mean2-3.13784
T Statistic9.1367
P-value0
Lower Confidence Limit3.59973
Upper Confidence Limit5.64892

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 1.48649 \tabularnewline
Mean2 & -3.13784 \tabularnewline
T Statistic & 9.1367 \tabularnewline
P-value & 0 \tabularnewline
Lower Confidence Limit & 3.59973 \tabularnewline
Upper Confidence Limit & 5.64892 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77105&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]1.48649[/C][/ROW]
[ROW][C]Mean2[/C][C]-3.13784[/C][/ROW]
[ROW][C]T Statistic[/C][C]9.1367[/C][/ROW]
[ROW][C]P-value[/C][C]0[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]3.59973[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]5.64892[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77105&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77105&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
Mean11.48649
Mean2-3.13784
T Statistic9.1367
P-value0
Lower Confidence Limit3.59973
Upper Confidence Limit5.64892







Standard Deviations
Variable 10.50671
Variable 23.03666

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 0.50671 \tabularnewline
Variable 2 & 3.03666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77105&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]0.50671[/C][/ROW]
[ROW][C]Variable 2[/C][C]3.03666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77105&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77105&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 10.50671
Variable 23.03666



Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = FALSE ;
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')