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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_twosampletests_mean.wasp
Title produced by softwarePaired and Unpaired Two Samples Tests about the Mean
Date of computationMon, 26 Nov 2012 13:30:40 -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/2012/Nov/26/t1353954665jcafnee2m2q6n77.htm/, Retrieved Tue, 30 Apr 2024 05:34:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=193452, Retrieved Tue, 30 Apr 2024 05:34:00 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 Vraag 3] [2012-10-27 11:07:29] [f8ee2fa4f3a14474001c30fec05fcd2b]
-   PD  [Paired and Unpaired Two Samples Tests about the Mean] [rats] [2012-11-26 16:13:20] [5971e03025aa6333f85f7b726952428d]
-    D      [Paired and Unpaired Two Samples Tests about the Mean] [WS 8: Unpaired tw...] [2012-11-26 18:30:40] [0d2ad79739942b80a90a457d326f3d01] [Current]
- R  D        [Paired and Unpaired Two Samples Tests about the Mean] [WS 8: Unpaired tw...] [2012-11-26 18:44:20] [5971e03025aa6333f85f7b726952428d]
-   P           [Paired and Unpaired Two Samples Tests about the Mean] [WS 8: Unpaired tw...] [2012-11-26 19:01:33] [5971e03025aa6333f85f7b726952428d]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193452&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193452&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193452&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Two Sample t-test (unpaired)
Mean of Sample 17.18085106382979
Mean of Sample 28.41205673758865
t-stat-11.7741717792837
df280
p-value2.8881147075195e-26
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-1.43704558808547,-1.02536575943226]
F-test to compare two variances
F-stat0.595687096943323
df140
p-value0.00234640557766892
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.427121396937132,0.830778134762922]

\begin{tabular}{lllllllll}
\hline
Two Sample t-test (unpaired) \tabularnewline
Mean of Sample 1 & 7.18085106382979 \tabularnewline
Mean of Sample 2 & 8.41205673758865 \tabularnewline
t-stat & -11.7741717792837 \tabularnewline
df & 280 \tabularnewline
p-value & 2.8881147075195e-26 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-1.43704558808547,-1.02536575943226] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 0.595687096943323 \tabularnewline
df & 140 \tabularnewline
p-value & 0.00234640557766892 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.427121396937132,0.830778134762922] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193452&T=1

[TABLE]
[ROW][C]Two Sample t-test (unpaired)[/C][/ROW]
[ROW][C]Mean of Sample 1[/C][C]7.18085106382979[/C][/ROW]
[ROW][C]Mean of Sample 2[/C][C]8.41205673758865[/C][/ROW]
[ROW][C]t-stat[/C][C]-11.7741717792837[/C][/ROW]
[ROW][C]df[/C][C]280[/C][/ROW]
[ROW][C]p-value[/C][C]2.8881147075195e-26[/C][/ROW]
[ROW][C]H0 value[/C][C]0[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI Level[/C][C]0.95[/C][/ROW]
[ROW][C]CI[/C][C][-1.43704558808547,-1.02536575943226][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]0.595687096943323[/C][/ROW]
[ROW][C]df[/C][C]140[/C][/ROW]
[ROW][C]p-value[/C][C]0.00234640557766892[/C][/ROW]
[ROW][C]H0 value[/C][C]1[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI Level[/C][C]0.95[/C][/ROW]
[ROW][C]CI[/C][C][0.427121396937132,0.830778134762922][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193452&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193452&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:

Two Sample t-test (unpaired)
Mean of Sample 17.18085106382979
Mean of Sample 28.41205673758865
t-stat-11.7741717792837
df280
p-value2.8881147075195e-26
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-1.43704558808547,-1.02536575943226]
F-test to compare two variances
F-stat0.595687096943323
df140
p-value0.00234640557766892
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.427121396937132,0.830778134762922]






Welch Two Sample t-test (unpaired)
Mean of Sample 17.18085106382979
Mean of Sample 28.41205673758865
t-stat-11.7741717792837
df263.108266185268
p-value5.47635405648259e-26
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-1.43710296774535,-1.02530837977238]

\begin{tabular}{lllllllll}
\hline
Welch Two Sample t-test (unpaired) \tabularnewline
Mean of Sample 1 & 7.18085106382979 \tabularnewline
Mean of Sample 2 & 8.41205673758865 \tabularnewline
t-stat & -11.7741717792837 \tabularnewline
df & 263.108266185268 \tabularnewline
p-value & 5.47635405648259e-26 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-1.43710296774535,-1.02530837977238] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193452&T=2

[TABLE]
[ROW][C]Welch Two Sample t-test (unpaired)[/C][/ROW]
[ROW][C]Mean of Sample 1[/C][C]7.18085106382979[/C][/ROW]
[ROW][C]Mean of Sample 2[/C][C]8.41205673758865[/C][/ROW]
[ROW][C]t-stat[/C][C]-11.7741717792837[/C][/ROW]
[ROW][C]df[/C][C]263.108266185268[/C][/ROW]
[ROW][C]p-value[/C][C]5.47635405648259e-26[/C][/ROW]
[ROW][C]H0 value[/C][C]0[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI Level[/C][C]0.95[/C][/ROW]
[ROW][C]CI[/C][C][-1.43710296774535,-1.02530837977238][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193452&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193452&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:

Welch Two Sample t-test (unpaired)
Mean of Sample 17.18085106382979
Mean of Sample 28.41205673758865
t-stat-11.7741717792837
df263.108266185268
p-value5.47635405648259e-26
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-1.43710296774535,-1.02530837977238]






Wicoxon rank sum test with continuity correction (unpaired)
W3379
p-value9.03886494411109e-22
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.524822695035461
p-value0
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.127659574468085
p-value0.200740971134696

\begin{tabular}{lllllllll}
\hline
Wicoxon rank sum test with continuity correction (unpaired) \tabularnewline
W & 3379 \tabularnewline
p-value & 9.03886494411109e-22 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
Kolmogorov-Smirnov Test to compare Distributions of two Samples \tabularnewline
KS Statistic & 0.524822695035461 \tabularnewline
p-value & 0 \tabularnewline
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples \tabularnewline
KS Statistic & 0.127659574468085 \tabularnewline
p-value & 0.200740971134696 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193452&T=3

[TABLE]
[ROW][C]Wicoxon rank sum test with continuity correction (unpaired)[/C][/ROW]
[ROW][C]W[/C][C]3379[/C][/ROW]
[ROW][C]p-value[/C][C]9.03886494411109e-22[/C][/ROW]
[ROW][C]H0 value[/C][C]0[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributions of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.524822695035461[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.127659574468085[/C][/ROW]
[ROW][C]p-value[/C][C]0.200740971134696[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193452&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193452&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Wicoxon rank sum test with continuity correction (unpaired)
W3379
p-value9.03886494411109e-22
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.524822695035461
p-value0
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.127659574468085
p-value0.200740971134696


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = 0.95 ; par4 = two.sided ; par5 = unpaired ; par6 = 0.0 ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = 0.95 ; par4 = two.sided ; par5 = unpaired ; par6 = 0.0 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1) #column number of first sample
par2 <- as.numeric(par2) #column number of second sample
par3 <- as.numeric(par3) #confidence (= 1 - alpha)
if (par5 == 'unpaired') paired <- FALSE else paired <- TRUE
par6 <- as.numeric(par6) #H0
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 (par3 <= 0) stop('The confidence level should be larger than zero')
if (par3 >= 1) stop('The confidence level should be smaller than zero')
(r.t <- t.test(z[,par1],z[,par2],var.equal=TRUE,alternative=par4,paired=paired,mu=par6,conf.level=par3))
(v.t <- var.test(z[,par1],z[,par2],conf.level=par3))
(r.w <- t.test(z[,par1],z[,par2],var.equal=FALSE,alternative=par4,paired=paired,mu=par6,conf.level=par3))
(w.t <- wilcox.test(z[,par1],z[,par2],alternative=par4,paired=paired,mu=par6,conf.level=par3))
(ks.t <- ks.test(z[,par1],z[,par2],alternative=par4))
m1 <- mean(z[,par1],na.rm=T)
m2 <- mean(z[,par2],na.rm=T)
mdiff <- m1 - m2
newsam1 <- z[!is.na(z[,par1]),par1]
newsam2 <- z[,par2]+mdiff
newsam2 <- newsam2[!is.na(newsam2)]
(ks1.t <- ks.test(newsam1,newsam2,alternative=par4))
mydf <- data.frame(cbind(z[,par1],z[,par2]))
colnames(mydf) <- c('Variable 1','Variable 2')
bitmap(file='test1.png')
boxplot(mydf, notch=TRUE, ylab='value',main=main)
dev.off()
bitmap(file='test2.png')
qqnorm(z[,par1],main='Normal QQplot - Variable 1')
qqline(z[,par1])
dev.off()
bitmap(file='test3.png')
qqnorm(z[,par2],main='Normal QQplot - Variable 2')
qqline(z[,par2])
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Two Sample t-test (',par5,')',sep=''),2,TRUE)
a<-table.row.end(a)
if(!paired){
a<-table.row.start(a)
a<-table.element(a,'Mean of Sample 1',header=TRUE)
a<-table.element(a,r.t$estimate[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Mean of Sample 2',header=TRUE)
a<-table.element(a,r.t$estimate[[2]])
a<-table.row.end(a)
} else {
a<-table.row.start(a)
a<-table.element(a,'Difference: Mean1 - Mean2',header=TRUE)
a<-table.element(a,r.t$estimate)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'t-stat',header=TRUE)
a<-table.element(a,r.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'df',header=TRUE)
a<-table.element(a,r.t$parameter[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,r.t$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0 value',header=TRUE)
a<-table.element(a,r.t$null.value[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,r.t$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI Level',header=TRUE)
a<-table.element(a,attr(r.t$conf.int,'conf.level'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI',header=TRUE)
a<-table.element(a,paste('[',r.t$conf.int[1],',',r.t$conf.int[2],']',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'F-test to compare two variances',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'F-stat',header=TRUE)
a<-table.element(a,v.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'df',header=TRUE)
a<-table.element(a,v.t$parameter[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,v.t$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0 value',header=TRUE)
a<-table.element(a,v.t$null.value[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,v.t$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI Level',header=TRUE)
a<-table.element(a,attr(v.t$conf.int,'conf.level'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI',header=TRUE)
a<-table.element(a,paste('[',v.t$conf.int[1],',',v.t$conf.int[2],']',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Welch Two Sample t-test (',par5,')',sep=''),2,TRUE)
a<-table.row.end(a)
if(!paired){
a<-table.row.start(a)
a<-table.element(a,'Mean of Sample 1',header=TRUE)
a<-table.element(a,r.w$estimate[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Mean of Sample 2',header=TRUE)
a<-table.element(a,r.w$estimate[[2]])
a<-table.row.end(a)
} else {
a<-table.row.start(a)
a<-table.element(a,'Difference: Mean1 - Mean2',header=TRUE)
a<-table.element(a,r.w$estimate)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'t-stat',header=TRUE)
a<-table.element(a,r.w$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'df',header=TRUE)
a<-table.element(a,r.w$parameter[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,r.w$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0 value',header=TRUE)
a<-table.element(a,r.w$null.value[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,r.w$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI Level',header=TRUE)
a<-table.element(a,attr(r.w$conf.int,'conf.level'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI',header=TRUE)
a<-table.element(a,paste('[',r.w$conf.int[1],',',r.w$conf.int[2],']',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Wicoxon rank sum test with continuity correction (',par5,')',sep=''),2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'W',header=TRUE)
a<-table.element(a,w.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,w.t$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0 value',header=TRUE)
a<-table.element(a,w.t$null.value[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,w.t$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Kolmogorov-Smirnov Test to compare Distributions of two Samples',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'KS Statistic',header=TRUE)
a<-table.element(a,ks.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,ks.t$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'KS Statistic',header=TRUE)
a<-table.element(a,ks1.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,ks1.t$p.value)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')