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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 computationTue, 15 Nov 2011 09:20:22 -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/Nov/15/t1321367274a4xune6uqnd8lbf.htm/, Retrieved Thu, 31 Oct 2024 23:00:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142926, Retrieved Thu, 31 Oct 2024 23:00:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [T-Tests] [] [2011-11-15 14:20:22] [9fdbf9e87de72659927e2d373c7c090e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
70.8	66.67
69.6	66.33
69.87	64.33
67.47	64
67.6	63.33
67.13	61.33
66.27	64.67
66.73	63
68.07	60.67
67.8	63.67
64.8	60.67
64.6	61.67
64.2	62.33
64.2	60.33
63.67	59.67
61	60.33
59.67	59.33
59.67	58.67
59.8	58.67
60.73	59.33
59.4	57.33
58.07	59.33
57.47	56
70.73	53.67
72.87	58.67
66	49.33
66.07	71.33
66	70.33
66.27	69
64	66
63.67	66
63.73	63.33
63.33	65.33
63.53	64.33
63.53	64
62.87	61.67
59.53	63.67
62.8	64.67
60.8	61.67
59.8	62
56.67	61.33
57.67	63.67
58.4	61.33
55.47	62.33
56.2	59.67
71.53	59.33
68.67	61.67
65.67	58.67
66.73	58
67.33	56.67
66.73	59.67
66.87	58
65.8	57
64.73	57.67
65.47	58.67
63.6	55.33
64.07	56
64.67	55.67
63.73	53.33
62.53	53.67
61.93	51
62.67	47
62.8	4.33
61.33	70
62.6	68.67
59.13	67.67
61.27	66
59.47	65.67
57.87	65.67
59.73	63.67
61.4	63.67
58.8	64
58.33	62
57.47	62
57.13	61.67
55	61.67
51.53	63.33
72.73	61
73	62.33
70.8	60.33
70.07	60.33
71.67	60.67
71.07	57.67
70.67	58.33
70.73	58
70.73	57.33
68.6	56.67
69.6	58
66.47	55.33
67.07	55.67
68.67	54.67
66.93	56.33
65.93	55
68.87	55
66.53	54.67
65.8	54.33
66.6	49
66	48.33
65	49.67
66.8	43.67
65.6	6.33
66	3
65.67	66.67
64.67	67.33
65.07	65.33
64.67	66
65.07	65.67
65.2	66.67
64.87	65.67
63.47	65
62.6	64.67
64.07	66.67
63.73	63.67
64.67	63.33
61.6	63.67
61.6	63.33
60.47	63.67
61.27	63
63	61.67
61.47	61.33
60.87	60.67
61.67	60
62.87	61.67
62.4	61.33
59.73	58.67
60.13	60.33
58.8	59.67
59.6	59.33
58.93	59.67
60.13	61
58.2	61
58.27	60
58.27	60
55.07	58.67
53.87	58.33
52.33	58
47.2	56.33
37.93	54.67
72.73	55.33
70.07	54
70.67	52.67
72.07	44
68.8	65.67
68.8	65
67.47	66.33
66.73	64
66.53	62.33
66	61.33
67.6	63
66	63.67
66	62
66.53	61.33
65.8	64.67
64.27	62.67
64.67	64
64.6	61
64.13	60.67
65.47	59.67
62.93	60.33
63.53	56.67
62.13	56.67
63.87	54.33
64.67	51
63.33	51
63.13	47
62.8	68
62.4	65
62.4	64
62.6	64
61.47	64
62.2	62
63	61
61.8	60
59.73	60
60.33	62
60.13	60
59.53	59
59	61
55.93	60
41.87	60
36.33	58
71.67	58
71.47	60
70.47	58
69.53	59
70.73	56
69.93	54
68.73	51
67.53	47

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142926&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142926&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142926&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'Gertrude Mary Cox' @ cox.wessa.net






Wilcoxon Test
StatisticP-value
Wilcoxon Test253150

\begin{tabular}{lllllllll}
\hline
Wilcoxon Test \tabularnewline
 & Statistic & P-value \tabularnewline
Wilcoxon Test & 25315 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142926&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]25315[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142926&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142926&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 Test253150






Standard Deviations
Variable 15.51435
Variable 28.51915

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 5.51435 \tabularnewline
Variable 2 & 8.51915 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142926&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]5.51435[/C][/ROW]
[ROW][C]Variable 2[/C][C]8.51915[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142926&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142926&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 15.51435
Variable 28.51915


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = Wilcoxon-Mann_Whitney ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = TRUE ;
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]), 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')