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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 computationWed, 07 Dec 2011 19:05:48 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/07/t1323302859yev0xvo5l5mxo6g.htm/, Retrieved Thu, 02 May 2024 17:54:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=152760, Retrieved Thu, 02 May 2024 17:54:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Test of Two Means] [2009-11-10 17:16:17] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Aston University Statistical Software] [Compare Two Means] [2009-11-11 08:09:40] [74be16979710d4c4e7c6647856088456]
-    D    [Aston University Statistical Software] [PY2236 Week 6 dat...] [2009-11-11 12:53:10] [74be16979710d4c4e7c6647856088456]
-   P       [T-Tests] [Week 9 PY2236] [2010-11-24 14:41:08] [74be16979710d4c4e7c6647856088456]
-    D        [T-Tests] [PY2236 Week 9 Dat...] [2010-11-30 18:04:40] [74be16979710d4c4e7c6647856088456]
- RMPD          [T-Tests] [t test] [2011-12-07 19:56:51] [74be16979710d4c4e7c6647856088456]
- R P             [T-Tests] [T-test for Katherine] [2011-12-07 20:11:04] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R                   [T-Tests] [Better t-test for...] [2011-12-08 00:05:48] [a9208f4f8d3b118336aae915785f2bd9] [Current]
- R P                   [T-Tests] [Wilcoxon test wit...] [2011-12-08 14:28:07] [74be16979710d4c4e7c6647856088456]
-                         [T-Tests] [wilcoxontest1] [2012-01-21 10:50:28] [74be16979710d4c4e7c6647856088456]
-   P                     [T-Tests] [wilcoxontest2] [2012-01-21 10:54:55] [74be16979710d4c4e7c6647856088456]
- R P                   [T-Tests] [Wilcoxon test wit...] [2011-12-08 14:58:21] [74be16979710d4c4e7c6647856088456]
-    D                    [T-Tests] [Categorical vs No...] [2012-01-17 11:04:41] [5527dc320772ad29a642eaea59f2ca9e]
-   P                       [T-Tests] [Verbal vs Non Ver...] [2012-01-17 11:13:28] [5527dc320772ad29a642eaea59f2ca9e]
- R PD                  [T-Tests] [] [2012-01-19 15:25:12] [74be16979710d4c4e7c6647856088456]
-                         [T-Tests] [] [2012-01-22 12:40:36] [74be16979710d4c4e7c6647856088456]
-                           [T-Tests] [] [2012-01-23 15:22:36] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11	1	7	5
12	0	6	6
12	0	10	2
12	0	9	3
12	0	7	5
12	0	9	3
11	1	8	4
10	2	8	4
8	4	6	6
9	3	11	1
12	0	8	4
11	1	12	0
12	0	10	2
12	0	8	4
12	0	10	2
12	0	9	3
12	0	8	4
11	1	9	3
12	0	12	0
11	1	9	3
12	0	5	7
11	1	9	3
12	0	8	4
11	1	10	2
12	0	10	2
12	0	5	7
11	1	11	1
11	1	11	1
12	0	11	1
10	2	7	5
12	0	8	4
5	7	5	7
12	0	6	6
12	0	9	3
12	0	11	1
12	0	11	1
12	0	11	1
12	0	11	1
12	0	9	3
12	0	8	4
12	0	11	1
10	2	9	3
12	0	5	7
11	1	8	4
12	0	10	2
11	1	8	4
12	0	8	4
12	0	9	3
12	0	9	3
4	8	5	7
11	1	7	5
10	2	12	0
12	0	10	2
12	0	8	4
3	9	6	6
12	0	9	3
8	4	7	5
2	10	8	4
7	5	2	10
9	3	7	5
10	2	6	6
12	0	10	2
12	0	10	2
9	3	6	6
10	2	10	2
10	2	10	2
11	1	8	4
9	3	8	4
11	1	9	3
10	2	9	3
11	1	10	2
11	1	10	2
12	0	12	0
12	0	11	1
11	1	9	3
6	6	7	5
12	0	9	3
8	4	7	5
12	0	11	1
11	1	10	2
12	0	8	4
11	1	7	5
12	0	12	0
11	1	9	3
12	0	12	0
5	7	2	10
4	8	7	5
12	0	12	0
8	4	8	4
12	0	8	4
12	0	10	2
12	0	10	2
10	2	10	2
11	1	10	2
11	1	4	8
10	2	5	7
6	6	6	6

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=152760&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=152760&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152760&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






T-Test
Difference: Mean1 - Mean29.19588
T Statistic20.35128
P-value0
Lower Confidence Limit9.16747
Upper Confidence Limit9.22428

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Difference: Mean1 - Mean2 & 9.19588 \tabularnewline
T Statistic & 20.35128 \tabularnewline
P-value & 0 \tabularnewline
Lower Confidence Limit & 9.16747 \tabularnewline
Upper Confidence Limit & 9.22428 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=152760&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]9.19588[/C][/ROW]
[ROW][C]T Statistic[/C][C]20.35128[/C][/ROW]
[ROW][C]P-value[/C][C]0[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]9.16747[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]9.22428[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=152760&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152760&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 - Mean29.19588
T Statistic20.35128
P-value0
Lower Confidence Limit9.16747
Upper Confidence Limit9.22428






Standard Deviations
Variable 12.22514
Variable 22.22514

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 2.22514 \tabularnewline
Variable 2 & 2.22514 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=152760&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]2.22514[/C][/ROW]
[ROW][C]Variable 2[/C][C]2.22514[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=152760&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=152760&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 12.22514
Variable 22.22514


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 = 0.05 ; par8 = TRUE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = paired ; par6 = 0.0 ; par7 = 0.05 ; 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')