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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 computationSun, 22 Nov 2015 13:28:33 +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/22/t144819892579j7v43g64tw83v.htm/, Retrieved Wed, 15 May 2024 01:47:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283803, Retrieved Wed, 15 May 2024 01:47:27 +0000
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IsPrivate?No (this computation is public)
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Estimated Impact200

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2015-08-02 10:20:32] [32b17a345b130fdf5cc88718ed94a974]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2015-11-22 13:28:33] [63a9f0ea7bb98050796b649e85481845] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5 4 5 2
7 4 6 4
4 4 7 5
4 3 5 1
5 6 6 5
5 4 5 3
5 4 7 4
6 5 7 5
4 5 3 3
7 7 7 7
1 7 6 6
5 3 5 5
4 7 7 4
6 2 5 3
5 5 7 3
5 6 7 2
6 5 6 5
5 4 6 3
5 6 7 4
5 5 4 3
7 7 7 7
7 7 7 6
5 7 6 5
7 6 6 4
6 5 7 4
4 5 6 5
5 4 5 4
6 5 7 6
5 5 6 5
5 6 4 6
7 6 7 4
5 2 6 1
3 6 6 4
5 4 7 3
5 3 7 5
6 6 7 4
6 4 6 4
2 3 6 2
6 7 7 2
5 5 5 4
4 5 4 4
5 4 5 2
5 4 5 2
5 6 3 2
6 5 7 2
6 5 6 2
6 4 5 2
4 7 4 4
3 4 5 4
5 6 7 5
6 6 5 4
6 4 5 2
5 5 6 3
4 5 6 3
6 4 6 4
6 5 7 5
4 6 5 3
6 5 4 2
6 5 6 2
5 4 6 4
5 6 7 3
5 5 6 3
2 6 4 2
3 4 6 2
5 3 5 5
6 5 5 4
6 5 5 4
7 5 6 3
5 4 7 6
4 5 6 5
5 5 6 2
4 5 6 4
3 5 6 5
3 5 6 3
3 6 5 4
3 6 5 5
6 3 6 4
6 5 7 2
5 2 6 2
6 4 5 2
4 6 6 3
4 4 7 2
6 4 7 6
7 5 6 4
7 5 6 4
6 4 7 1
7 4 6 5
5 3 3 2
4 5 5 4
5 6 7 3
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6 4 6 3
7 5 7 4
5 4 6 5
6 4 6 2
5 4 6 3
5 2 4 2
5 4 6 7
5 4 6 6
5 5 6 4
5 7 7 3
5 4 7 2
7 6 7 4
5 5 7 5
6 4 7 5
6 2 7 1
6 6 7 3
6 4 5 2
2 4 4 4
5 7 5 4
7 6 7 6
5 5 6 6
5 5 3 3
6 6 6 5
4 6 6 5
3 4 5 4
7 1 7 1
4 5 3 3
5 4 6 4
6 7 6 3
6 5 4 6
6 6 6 4
4 6 7 6
5 5 6 4
6 5 3 4
5 4 6 4
5 6 7 5
6 4 6 4
1 5 7 5
7 4 5 2
7 4 7 4
5 6 7 5
3 4 4 3
4 6 6 6
5 5 6 5
5 6 7 2
6 5 6 5
7 4 4 2
5 6 6 7
6 3 6 3
5 5 6 4
6 5 4 4
2 6 5 4
4 2 3 3
5 5 6 3
3 6 6 4
6 5 6 3
2 6 7 3
5 6 7 5
4 5 6 4
1 5 5 3
5 4 5 4
4 4 3 1
4 5 6 5
5 6 7 3
7 6 7 3
2 5 7 2
3 4 5 4
4 3 6 1
7 6 7 5
5 7 5 5
4 7 6 7
6 6 4 2
5 6 6 4
6 6 5 2
6 4 6 2
6 6 7 5
5 5 7 3
2 6 4 5
3 4 4 3
5 3 6 6
7 5 6 4
6 5 5 4
5 7 6 4
6 4 5 3
6 7 6 7
5 5 6 4
4 5 6 4
2 5 5 3
3 5 5 3
6 5 4 5
4 5 4 2
6 4 2 1
6 4 6 3
6 6 7 5
7 5 6 3
4 4 6 2
7 6 3 1
7 5 6 4
4 3 4 4
5 4 6 5
5 4 6 5
5 4 6 5
5 4 6 5
5 5 7 3
6 4 6 3
6 3 6 3
7 6 6 3
4 5 6 6
7 7 7 3
5 5 4 4
5 5 4 5
1 4 6 4
5 5 6 2
5 6 7 5
2 2 1 6
4 6 6 5
4 6 6 5
6 4 6 3
7 4 7 5
4 6 7 5
7 5 7 3
2 5 3 1
7 6 6 6
4 5 7 4
7 4 7 4
7 5 6 3
5 6 3 3
5 5 6 5
7 5 7 4
5 5 6 2
6 3 4 2
5 5 5 2
3 7 2 4
3 6 7 2
5 4 5 2
3 4 5 3
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6 5 7 5
5 6 5 4
5 5 7 3
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4 4 5 3
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6 5 6 4
5 4 6 3
6 7 5 5
5 6 6 4
5 7 7 4
5 5 7 4
2 5 5 2
5 5 6 5
5 6 7 5
6 7 7 6
1 3 4 4
4 5 6 6
5 7 5 6
7 5 7 4
6 4 6 5
2 4 4 3
2 5 6 3
6 5 5 2
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3 4 7 5
6 3 6 3
5 7 7 5
5 6 6 3
6 5 7 5
5 5 6 1
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6 1 5 3
5 3 5 2
6 5 5 5
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7 3 7 6
4 6 7 3
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5 5 5 6
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7 7 7 7
5 5 6 4
6 6 6 5
6 5 7 4
7 5 4 2
4 5 6 3
5 6 6 5
6 6 4 5
5 4 4 3
5 5 7 4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283803&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283803&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283803&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Two Sample t-test (paired)
Difference: Mean1 - Mean21.11228070175439
t-stat12.6637437658781
df284
p-value1.92732984444894e-29
H0 value0
Alternativetwo.sided
CI Level0.95
CI[0.93939658782481,1.28516481568396]
F-test to compare two variances
F-stat0.721569505545165
df284
p-value0.00612145122564688
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.571552413293723,0.910962038165909]

\begin{tabular}{lllllllll}
\hline
Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & 1.11228070175439 \tabularnewline
t-stat & 12.6637437658781 \tabularnewline
df & 284 \tabularnewline
p-value & 1.92732984444894e-29 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.93939658782481,1.28516481568396] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 0.721569505545165 \tabularnewline
df & 284 \tabularnewline
p-value & 0.00612145122564688 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.571552413293723,0.910962038165909] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283803&T=1

[TABLE]
[ROW][C]Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]1.11228070175439[/C][/ROW]
[ROW][C]t-stat[/C][C]12.6637437658781[/C][/ROW]
[ROW][C]df[/C][C]284[/C][/ROW]
[ROW][C]p-value[/C][C]1.92732984444894e-29[/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][0.93939658782481,1.28516481568396][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]0.721569505545165[/C][/ROW]
[ROW][C]df[/C][C]284[/C][/ROW]
[ROW][C]p-value[/C][C]0.00612145122564688[/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][0.571552413293723,0.910962038165909][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283803&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283803&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 (paired)
Difference: Mean1 - Mean21.11228070175439
t-stat12.6637437658781
df284
p-value1.92732984444894e-29
H0 value0
Alternativetwo.sided
CI Level0.95
CI[0.93939658782481,1.28516481568396]
F-test to compare two variances
F-stat0.721569505545165
df284
p-value0.00612145122564688
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.571552413293723,0.910962038165909]






Welch Two Sample t-test (paired)
Difference: Mean1 - Mean21.11228070175439
t-stat12.6637437658781
df284
p-value1.92732984444894e-29
H0 value0
Alternativetwo.sided
CI Level0.95
CI[0.93939658782481,1.28516481568396]

\begin{tabular}{lllllllll}
\hline
Welch Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & 1.11228070175439 \tabularnewline
t-stat & 12.6637437658781 \tabularnewline
df & 284 \tabularnewline
p-value & 1.92732984444894e-29 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.93939658782481,1.28516481568396] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283803&T=2

[TABLE]
[ROW][C]Welch Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]1.11228070175439[/C][/ROW]
[ROW][C]t-stat[/C][C]12.6637437658781[/C][/ROW]
[ROW][C]df[/C][C]284[/C][/ROW]
[ROW][C]p-value[/C][C]1.92732984444894e-29[/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][0.93939658782481,1.28516481568396][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283803&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283803&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 (paired)
Difference: Mean1 - Mean21.11228070175439
t-stat12.6637437658781
df284
p-value1.92732984444894e-29
H0 value0
Alternativetwo.sided
CI Level0.95
CI[0.93939658782481,1.28516481568396]






Wilcoxon Signed-Rank Test with continuity correction (paired)
W23206.5
p-value2.50065284851805e-24
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.347368421052632
p-value2.33146835171283e-15
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.294736842105263
p-value3.53844731293407e-11

\begin{tabular}{lllllllll}
\hline
Wilcoxon Signed-Rank Test with continuity correction (paired) \tabularnewline
W & 23206.5 \tabularnewline
p-value & 2.50065284851805e-24 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
Kolmogorov-Smirnov Test to compare Distributions of two Samples \tabularnewline
KS Statistic & 0.347368421052632 \tabularnewline
p-value & 2.33146835171283e-15 \tabularnewline
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples \tabularnewline
KS Statistic & 0.294736842105263 \tabularnewline
p-value & 3.53844731293407e-11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283803&T=3

[TABLE]
[ROW][C]Wilcoxon Signed-Rank Test with continuity correction (paired)[/C][/ROW]
[ROW][C]W[/C][C]23206.5[/C][/ROW]
[ROW][C]p-value[/C][C]2.50065284851805e-24[/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]0.347368421052632[/C][/ROW]
[ROW][C]p-value[/C][C]2.33146835171283e-15[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.294736842105263[/C][/ROW]
[ROW][C]p-value[/C][C]3.53844731293407e-11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283803&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283803&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:

Wilcoxon Signed-Rank Test with continuity correction (paired)
W23206.5
p-value2.50065284851805e-24
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.347368421052632
p-value2.33146835171283e-15
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.294736842105263
p-value3.53844731293407e-11


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = 4 ; par3 = 0.95 ; par4 = two.sided ; par5 = paired ; par6 = 0.0 ;
Parameters (R input):
par1 = 2 ; par2 = 4 ; par3 = 0.95 ; par4 = two.sided ; par5 = paired ; 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)
myWlabel <- 'Wilcoxon Signed-Rank Test'
if (par5=='unpaired') myWlabel = 'Wilcoxon Rank-Sum Test (Mann–Whitney U test)'
a<-table.element(a,paste(myWlabel,' 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')