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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_Tests to Compare Two Means.wasp
Title produced by softwareT-Tests
Date of computationFri, 27 Apr 2012 22:30:17 -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/Apr/27/t1335580357nxa1s9hmoft4ibd.htm/, Retrieved Mon, 29 Apr 2024 03:47:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164979, Retrieved Mon, 29 Apr 2024 03:47:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [T-Tests] [PE vs non-PE BMI] [2012-04-28 02:30:17] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26.7	28.4
26.6	27.2
23.3	24.2
28.5	28.1
38.7	39.1
34.4	32.7
32.4	33.1
16.7	18.6
28.3	27.5
17.8	19.5
21.5	22.8
18.9	17.2
17.6	18.5
19.5	20.8
29.0	30.5
26.4	27.5
31.3	32.4
36.7	35.6
23.8	22.0
18.6	18.1
19.8	18.3
25.8	26.7
26.3	26.6
22.9	22.6
38.9	38.5
34.5	33.0
24.1	23.0
29.6	29.9
34.4	35.3
31.0	30.5
23.5	22.2
21.6	21.8
21.3	21.1
18.3	19.3
27.3	26.6
18.8	20.6
31.7	31.8
30.3	25.9
28.4	22.0
16.9	28.3
25.8	27.6
33.1	18.0
21.5	27.2
21.4	25.7
22.7	34.7
21.5	29.7
24.1	23.3
25.7	21.7
18.6	22.1
28.7	22.6
25.8	21.0
25.7	22.5
21.5	27.0
22.0	19.2
37.0	27.5
25.0	26.7
35.8	25.9
27.4	21.6
24.0	22.2
27.5	38.5
18.9	24.0
23.3	37.3
29.4	26.7
27.9	23.8
47.3	23.5
37.2	22.3
31.4	22.8
27.5	21.4
44.7	27.2
35.7	26.6
29.4	19.6
23.1	33.3
22.0	21.6
20.6	31.0
21.3	32.0
35.9	37.0
30.2	28.4
22.8	25.9
26.7	26.4
23.1	26.7
27.3	24.3
28.0	28.5
22.2	32.9
20.2	25.7
31.5	29.9
31.0	26.6
32.7	37.9
20.5	25.9
28.2	29.0
34.3	36.5
28.3	40.8
41.1	27.3
30.2	31.5
23.3	25.1
23.4	27.6
26.4	24.9
22.2	38.0
29.9	19.1
34.6	19.5
24.0	27.5

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=164979&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=164979&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164979&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
Mean126.946
Mean226.685
T Statistic0.30998
P-value0.75691
Lower Confidence Limit-1.39955
Upper Confidence Limit1.92155

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 26.946 \tabularnewline
Mean2 & 26.685 \tabularnewline
T Statistic & 0.30998 \tabularnewline
P-value & 0.75691 \tabularnewline
Lower Confidence Limit & -1.39955 \tabularnewline
Upper Confidence Limit & 1.92155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164979&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]26.946[/C][/ROW]
[ROW][C]Mean2[/C][C]26.685[/C][/ROW]
[ROW][C]T Statistic[/C][C]0.30998[/C][/ROW]
[ROW][C]P-value[/C][C]0.75691[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-1.39955[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]1.92155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164979&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164979&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
Mean126.946
Mean226.685
T Statistic0.30998
P-value0.75691
Lower Confidence Limit-1.39955
Upper Confidence Limit1.92155






Standard Deviations
Variable 16.2618
Variable 25.62901

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 6.2618 \tabularnewline
Variable 2 & 5.62901 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164979&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]6.2618[/C][/ROW]
[ROW][C]Variable 2[/C][C]5.62901[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164979&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164979&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 16.2618
Variable 25.62901


Figures (Output of Computation)

Input Parameters & R Code

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