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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Bayesian_Two_Sample_Test.wasp
Title produced by softwareBayesian Two Sample Test
Date of computationSat, 28 Nov 2015 12:46:31 +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/2015/Nov/28/t1448714834mpfqcjnv02i3i6y.htm/, Retrieved Tue, 14 May 2024 22:59:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=284376, Retrieved Tue, 14 May 2024 22:59:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bayesian Two Sample Test] [Bayesian test wer...] [2015-11-28 12:46:31] [8acc4c3875a0c63009483cc7dfb4f316] [Current]
-   PD    [Bayesian Two Sample Test] [Bayesian test wer...] [2015-12-01 13:54:44] [2ba32e9656c7c3fdddad3ba3f1588288]
- RM        [Multiple Regression] [Multiple regression] [2015-12-04 13:41:12] [4e6b221caf797a012ce5465db674848b]
- RM D        [] [Multiple regression] [-0001-11-30 00:00:00] [74be16979710d4c4e7c6647856088456]
- RM D        [] [Multiple regressi...] [-0001-11-30 00:00:00] [74be16979710d4c4e7c6647856088456]
- RM        [Multiple Regression] [Multiple regression] [2015-12-04 13:58:21] [4e6b221caf797a012ce5465db674848b]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21.6 20.7 6.5 7.1
21.6 20.7 6.2 6.8
21.6 20.7 6.3 6.5
19.4 18 6.4 6.1
19.4 18 6.3 5.7
19.4 18 6.1 5.6
15.9 16.9 5.7 5.7
15.9 16.9 5.6 5.8
15.9 16.9 5.6 5.9
21.8 24.4 6.2 6.3
21.8 24.4 6.3 6.5
21.8 24.4 6.2 6.3
17.6 15.5 6 6.4
17.6 15.5 5.9 6.3
17.6 15.5 6 6.3
19 18.4 6.1 6.2
19 18.4 6.1 6.2
19 18.4 6 6.2
16.3 16.2 6 6.4
16.3 16.2 6 6.5
16.3 16.2 5.9 6.5
22.5 20.6 6.1 6.7
22.5 20.6 6.3 6.7
22.5 20.6 6.5 6.3
23.8 19.8 7.1 6.2
23.8 19.8 7.5 6.3
23.8 19.8 7.6 6.5
24.6 21.6 7.6 6.9
24.6 21.6 7.4 7
24.6 21.6 7.1 7
22.7 22.3 6.9 6.9
22.7 22.3 6.8 6.7
22.7 22.3 6.8 6.7
25.2 23.7 7.3 7.1
25.2 23.7 7.3 7.1
25.2 23.7 7.3 6.9
26.4 22.1 7.2 7
26.4 22.1 7.2 6.9
26.4 22.1 7.4 6.9
26 26.6 7.7 6.8
26 26.6 7.8 6.5
26 26.6 7.9 6.2
23.2 23.5 7.9 5.9
23.2 23.5 7.8 5.8
23.2 23.5 7.7 6.1
22.7 19.6 7.9 7
22.7 19.6 7.8 7.4
22.7 19.6 7.6 7.3
24 20 7.5 7.2
24 20 7.4 7.1
24 20 7.7 7.1
20.7 20.1 8.2 7.1
20.7 20.1 8.4 7.1
20.7 20.1 8.4 6.9
23.8 16 8.2 6.6
23.8 16 8 6.4
23.8 16 8 6.5
27.1 18.9 8.2 6.9
27.1 18.9 8.2 6.9
27.1 18.9 8 6.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time86 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 86 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284376&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]86 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284376&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284376&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 time86 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Bayesian Two Sample Test
> summary(r, credMass = par4, compValeff = par3)
            mean median   mode HDI%  HDIlo  HDIup compVal %>compVal
mu1       22.267 22.267 22.270   95 21.431  23.09                  
mu2       20.225 20.223 20.210   95 19.462  21.00                  
muDiff     2.042  2.043  2.023   95  0.906   3.17       0     100.0
sigma1     3.162  3.140  3.091   95  2.582   3.81                  
sigma2     2.925  2.905  2.870   95  2.383   3.52                  
sigmaDiff  0.237  0.237  0.250   95 -0.591   1.08       0      71.6
nu        46.409 38.103 23.097   95  5.024 110.37                  
log10nu    1.570  1.581  1.620   95  0.985   2.13                  
effSz      0.673  0.672  0.669   95  0.280   1.05       0     100.0


\begin{tabular}{lllllllll}
\hline
Bayesian Two Sample Test \tabularnewline

> summary(r, credMass = par4, compValeff = par3)
            mean median   mode HDI%  HDIlo  HDIup compVal %>compVal
mu1       22.267 22.267 22.270   95 21.431  23.09                  
mu2       20.225 20.223 20.210   95 19.462  21.00                  
muDiff     2.042  2.043  2.023   95  0.906   3.17       0     100.0
sigma1     3.162  3.140  3.091   95  2.582   3.81                  
sigma2     2.925  2.905  2.870   95  2.383   3.52                  
sigmaDiff  0.237  0.237  0.250   95 -0.591   1.08       0      71.6
nu        46.409 38.103 23.097   95  5.024 110.37                  
log10nu    1.570  1.581  1.620   95  0.985   2.13                  
effSz      0.673  0.672  0.669   95  0.280   1.05       0     100.0

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284376&T=1

[TABLE]
[ROW][C]Bayesian Two Sample Test[/C][/ROW]
[ROW][C]
> summary(r, credMass = par4, compValeff = par3)
            mean median   mode HDI%  HDIlo  HDIup compVal %>compVal
mu1       22.267 22.267 22.270   95 21.431  23.09                  
mu2       20.225 20.223 20.210   95 19.462  21.00                  
muDiff     2.042  2.043  2.023   95  0.906   3.17       0     100.0
sigma1     3.162  3.140  3.091   95  2.582   3.81                  
sigma2     2.925  2.905  2.870   95  2.383   3.52                  
sigmaDiff  0.237  0.237  0.250   95 -0.591   1.08       0      71.6
nu        46.409 38.103 23.097   95  5.024 110.37                  
log10nu    1.570  1.581  1.620   95  0.985   2.13                  
effSz      0.673  0.672  0.669   95  0.280   1.05       0     100.0

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284376&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284376&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:

Bayesian Two Sample Test
> summary(r, credMass = par4, compValeff = par3)
            mean median   mode HDI%  HDIlo  HDIup compVal %>compVal
mu1       22.267 22.267 22.270   95 21.431  23.09                  
mu2       20.225 20.223 20.210   95 19.462  21.00                  
muDiff     2.042  2.043  2.023   95  0.906   3.17       0     100.0
sigma1     3.162  3.140  3.091   95  2.582   3.81                  
sigma2     2.925  2.905  2.870   95  2.383   3.52                  
sigmaDiff  0.237  0.237  0.250   95 -0.591   1.08       0      71.6
nu        46.409 38.103 23.097   95  5.024 110.37                  
log10nu    1.570  1.581  1.620   95  0.985   2.13                  
effSz      0.673  0.672  0.669   95  0.280   1.05       0     100.0


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = 0 ; par4 = 0.95 ; par5 = unpaired ; par6 = no ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = 0 ; par4 = 0.95 ; par5 = unpaired ; par6 = no ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ;
R code (references can be found in the software module):
library(BEST)
par1 <- as.numeric(par1) #column number of first sample
par2 <- as.numeric(par2) #column number of second sample
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
if(par6=='yes') {
par7 <- as.numeric(par7)
par8 <- as.numeric(par8)
par9 <- as.numeric(par9)
par10 <- as.numeric(par10)
par11 <- as.numeric(par11)
par12 <- as.numeric(par12)
par13 <- as.numeric(par13)
par14 <- as.numeric(par14)
par15 <- as.numeric(par15)
par16 <- as.numeric(par16)
}
z <- t(y)
if (par1 == par2) stop('Please, select two different column numbers')
if (par1 < 1) stop('Please, select a column number greater than zero for the first sample')
if (par2 < 1) stop('Please, select a column number greater than zero for the second sample')
if (par1 > length(z[1,])) stop('The column number for the first sample should be smaller')
if (par2 > length(z[1,])) stop('The column number for the second sample should be smaller')
if(par6=='no') {
if(par5=='unpaired') {
(r <- BESTmcmc(z[,par1],z[,par2], parallel=F))
}
if(par5=='paired') {
(r <- BESTmcmc(z[,par1]-z[,par2], parallel=F))
}
} else {
yy <- cbind(z[1,],z[2,])
if(par5=='unpaired') {
(r <- BESTmcmc(z[,par1],z[,par2], priors=list(muM = c(par7,par8), muSD = c(par9,par10), sigmaMode = c(par11,par12), sigmaSD = c(par13,par14), nuMean = par15, nuSD = par16), parallel=F))
}
if(par5=='paired') {
(r <- BESTmcmc(z[,par1]-z[,par2], priors=list(muM = c(par7,par8), muSD = c(par9,par10), sigmaMode = c(par11,par12), sigmaSD = c(par13,par14), nuMean = par15, nuSD = par16), parallel=F))
}
}
bitmap(file='test2.png')
plot(r, credMass=par4, compVal=par3)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bayesian Two Sample Test',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(r, credMass=par4, compValeff=par3)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')