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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 10:38:42 -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/t1321371532ziojlxuuwal1m4e.htm/, Retrieved Thu, 31 Oct 2024 23:22:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143069, Retrieved Thu, 31 Oct 2024 23:22:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [T-Tests] [] [2011-11-15 15:03:07] [14c7458e3155117f665da5236db63949]
-    D    [T-Tests] [] [2011-11-15 15:38:42] [162a5fab5b4b88c247e31b21d9272502] [Current]
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Dataseries X:
41.81	46.12
40.25	50.9
50.37	47.32
43.12	47.05
40.46	49.55
42.89	48.33
54.29	44.49
56.13	51.64
51.76	46.55
42.92	54.79
45.58	47.51
47.37	50.83
48.27	48.41
47.02	53.83
52.23	52.95
64.02	56.88
52.36	48.5
53.97	53.29
60.45	54.06
47.76	56.66
47.44	48.88
48.35	44.46
49.21	49.63
52.12	49.12
44.39	56.88
48.89	46.89
54.04	55.97
40.31	50.42
50.51	52.67
52.33	51.28
44.52	55.89
55.59	54.55
54.27	48.8
49.18	52.39
40.75	56.8
45.36	46.69
43.54	44.01
48.82	50.51
54.05	56.01
57.47	61.45




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=143069&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=143069&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143069&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'Gertrude Mary Cox' @ cox.wessa.net







T-Test
Difference: Mean1 - Mean2-7.48
T Statistic-2.35962
P-value0.25519
Lower Confidence Limit-47.75867
Upper Confidence Limit32.79867

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Difference: Mean1 - Mean2 & -7.48 \tabularnewline
T Statistic & -2.35962 \tabularnewline
P-value & 0.25519 \tabularnewline
Lower Confidence Limit & -47.75867 \tabularnewline
Upper Confidence Limit & 32.79867 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143069&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-7.48[/C][/ROW]
[ROW][C]T Statistic[/C][C]-2.35962[/C][/ROW]
[ROW][C]P-value[/C][C]0.25519[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-47.75867[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]32.79867[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143069&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143069&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
Difference: Mean1 - Mean2-7.48
T Statistic-2.35962
P-value0.25519
Lower Confidence Limit-47.75867
Upper Confidence Limit32.79867







Standard Deviations
Variable 11.10309
Variable 23.37997

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 1.10309 \tabularnewline
Variable 2 & 3.37997 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143069&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]1.10309[/C][/ROW]
[ROW][C]Variable 2[/C][C]3.37997[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143069&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143069&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 11.10309
Variable 23.37997



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]), 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')