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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, 01 Nov 2010 13:17:22 +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/2010/Nov/01/t1288617370zvifw46r6k797gx.htm/, Retrieved Thu, 28 Mar 2024 15:14:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=90787, Retrieved Thu, 28 Mar 2024 15:14:54 +0000
QR Codes:

Original text written by user:
IsPrivate?This computation is/was private until 2010-11-03
User-defined keywords
Estimated Impact671
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] [] [2010-11-01 13:17:22] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-08 08:07:07] [22937c5b58c14f6c22964f32d64ff823]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 2 - Vraag 3] [2010-11-22 22:02:00] [91de8b765895d6ee0c73f0d2e284be17]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample t-test...] [2011-10-27 22:15:42] [7f54ec67e5798cc59f49446b41e2f221]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [C5 V3] [2011-10-31 16:55:27] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [C5 V3b] [2011-10-31 17:14:24] [74be16979710d4c4e7c6647856088456]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample S trea...] [2011-11-04 14:30:47] [19d77e37efa419fdc040c74a96874aff]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Question 3 - WS5] [2011-11-07 20:29:49] [dea2223cade331092cb80c89f49545fe]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-17 21:33:53] [298b545ca29b1a60cbb481c5dea313ae]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-19 16:34:46] [b4c8fd31b0af00c33711722ddf8d2c4c]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [PAPER] [2011-12-10 12:08:52] [27e29806e0b1d1351a97bc4ee4116294]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-16 08:50:33] [80bca13c5f9401fbb753952fd2952f4a]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-17 10:19:13] [a9dc51245fb8ca00f931d89893d090c8]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-17 17:38:24] [880b2848ba77f3f5ee007f117bbf00fe]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [two sample t-test: S] [2011-12-18 10:19:53] [baac05fe722f73c103cc2d713fa5bd78]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [paper testen hypo...] [2011-12-18 14:00:35] [d5821fed422662f85834b1edae505ce2]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample T-Test...] [2011-12-19 15:47:59] [b8fde34a99ee6a7d49500940cae4da2a]
-           [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-12-17 13:28:46] [1337bb1ecd4655261bf98bac1776aa01]
-           [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-12-17 13:30:28] [1337bb1ecd4655261bf98bac1776aa01]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Two sample T-test...] [2011-12-19 15:48:06] [d95291bc5e09a8bed20558da95617a33]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-19 17:47:11] [30b3e197115d238a51c18bcedc33a6a5]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-19 19:56:14] [2d3d135c7070430a7cc2b1c9a86f42b1]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [T_kt] [2011-12-20 01:45:28] [7e17e0c557325a60eb6c8af681a1c273]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [S behandeling] [2011-12-20 09:25:46] [c035d973aa8488be257660c2dc4ec375]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [S behandeling] [2011-12-20 09:27:35] [c035d973aa8488be257660c2dc4ec375]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Derde hypothese ] [2011-12-21 13:49:57] [07b2c5c51166cb60d3a449987e886a27]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [S] [2011-12-22 15:00:37] [98f3ba974ec9d6d754dcc83206539a91]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [S_kt] [2011-12-22 23:19:13] [7e17e0c557325a60eb6c8af681a1c273]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-10-14 16:39:39] [74be16979710d4c4e7c6647856088456]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-10-15 10:03:19] [f810c1d88ae49fd60019f9e52bf9eae3]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [sample test] [2012-10-15 16:03:23] [60d1ad8da4696c30bdea6b2c1b52db5e]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [ws5q3] [2012-10-15 19:42:28] [fa543719fe3f8358943b948de15add90]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [WS5 Q3] [2012-10-29 15:22:34] [9dd9c05d056fdee415816a8bd25f68fd]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Task 3] [2012-10-30 11:18:10] [c5937bf2e8e0a7b2aa466d1286878951]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 -Q3] [2012-10-30 15:04:54] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [ws5 q3 1] [2012-10-30 15:06:28] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-11-24 12:59:00] [142938da2fef436f3122377f660295cc]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-11-27 18:52:19] [717eeab792c979f6e7c3b92a165ad49e]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [paper deel 2 unpa...] [2012-12-12 17:58:52] [48f852fd41a4fa7d41d1802199989991]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [Paper Deel 2 Pair...] [2012-12-14 14:15:13] [2972d443360a042d7188069add54b356]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Anova, meerv regr...] [2012-12-17 11:07:31] [dbdfdab7c884aa7a69290945f2923e51]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Paper_2.6] [2012-12-19 18:48:04] [be6dd99035eed41c2358246baf91f928]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Deel 2: hypothese...] [2012-12-20 22:55:42] [5e6119a0aa181aac6bb71d6b937f8665]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [gepaarde two samp...] [2012-12-21 22:26:49] [d47233a2cd9f9635ad611b5f9ecd3f2f]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-12-23 05:37:15] [7ba0816b78c58edd3dfdcc950c417269]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Ques...] [2013-11-05 11:48:30] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Exp1 Q3] [2013-11-05 13:39:09] [508ad00fbaced7ad8e80ddb3167ea0fd]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2014-10-21 07:53:37] [32b17a345b130fdf5cc88718ed94a974]
-  M        [Paired and Unpaired Two Samples Tests about the Mean] [Ws 5 Question 3] [2014-10-29 09:22:19] [be945163e51ed825733188af308451be]

[Truncated]
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Dataseries X:
0	1
0	1
0	1
0	1
1	1
1	0
0	0
1	1
1	0
1	1
0	0
0	0
0	0
1	0
0	0
0	0
1	0
1	1
0	0
0	0
1	1
1	1
1	1
0	1
1	1
1	1
1	1
1	1
0	0
0	0
1	1
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0	1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90787&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90787&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90787&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'George Udny Yule' @ 72.249.76.132







Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.0571428571428571
t-stat-0.626947831813006
df34
p-value0.53488101573388
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.242370800813192,0.128085086527478]
F-test to compare two variances
F-stat0.993464052287582
df34
p-value0.984858744073725
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.501466047576137,1.96817078236551]

\begin{tabular}{lllllllll}
\hline
Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & -0.0571428571428571 \tabularnewline
t-stat & -0.626947831813006 \tabularnewline
df & 34 \tabularnewline
p-value & 0.53488101573388 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-0.242370800813192,0.128085086527478] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 0.993464052287582 \tabularnewline
df & 34 \tabularnewline
p-value & 0.984858744073725 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.501466047576137,1.96817078236551] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90787&T=1

[TABLE]
[ROW][C]Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.0571428571428571[/C][/ROW]
[ROW][C]t-stat[/C][C]-0.626947831813006[/C][/ROW]
[ROW][C]df[/C][C]34[/C][/ROW]
[ROW][C]p-value[/C][C]0.53488101573388[/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][-0.242370800813192,0.128085086527478][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]0.993464052287582[/C][/ROW]
[ROW][C]df[/C][C]34[/C][/ROW]
[ROW][C]p-value[/C][C]0.984858744073725[/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][0.501466047576137,1.96817078236551][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90787&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90787&T=1

As an alternative you can also use a QR Code:  

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

Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.0571428571428571
t-stat-0.626947831813006
df34
p-value0.53488101573388
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.242370800813192,0.128085086527478]
F-test to compare two variances
F-stat0.993464052287582
df34
p-value0.984858744073725
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.501466047576137,1.96817078236551]







Welch Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.0571428571428571
t-stat-0.626947831813006
df34
p-value0.53488101573388
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.242370800813192,0.128085086527478]

\begin{tabular}{lllllllll}
\hline
Welch Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & -0.0571428571428571 \tabularnewline
t-stat & -0.626947831813006 \tabularnewline
df & 34 \tabularnewline
p-value & 0.53488101573388 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-0.242370800813192,0.128085086527478] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90787&T=2

[TABLE]
[ROW][C]Welch Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.0571428571428571[/C][/ROW]
[ROW][C]t-stat[/C][C]-0.626947831813006[/C][/ROW]
[ROW][C]df[/C][C]34[/C][/ROW]
[ROW][C]p-value[/C][C]0.53488101573388[/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][-0.242370800813192,0.128085086527478][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90787&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90787&T=2

As an alternative you can also use a QR Code:  

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

Welch Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.0571428571428571
t-stat-0.626947831813006
df34
p-value0.53488101573388
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.242370800813192,0.128085086527478]







Wicoxon rank sum test with continuity correction (paired)
W22
p-value0.565318637427207
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.0571428571428571
p-value0.999999995591453
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.485714285714286
p-value0.000518798147327804

\begin{tabular}{lllllllll}
\hline
Wicoxon rank sum test with continuity correction (paired) \tabularnewline
W & 22 \tabularnewline
p-value & 0.565318637427207 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
Kolmogorov-Smirnov Test to compare Distributions of two Samples \tabularnewline
KS Statistic & 0.0571428571428571 \tabularnewline
p-value & 0.999999995591453 \tabularnewline
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples \tabularnewline
KS Statistic & 0.485714285714286 \tabularnewline
p-value & 0.000518798147327804 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90787&T=3

[TABLE]
[ROW][C]Wicoxon rank sum test with continuity correction (paired)[/C][/ROW]
[ROW][C]W[/C][C]22[/C][/ROW]
[ROW][C]p-value[/C][C]0.565318637427207[/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]0.0571428571428571[/C][/ROW]
[ROW][C]p-value[/C][C]0.999999995591453[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.485714285714286[/C][/ROW]
[ROW][C]p-value[/C][C]0.000518798147327804[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90787&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90787&T=3

As an alternative you can also use a QR Code:  

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

Wicoxon rank sum test with continuity correction (paired)
W22
p-value0.565318637427207
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.0571428571428571
p-value0.999999995591453
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.485714285714286
p-value0.000518798147327804



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = TRUE ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; 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)
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')