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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 computationMon, 01 Nov 2010 13:29:50 +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/t1288618123oxlax507nsphxca.htm/, Retrieved Thu, 20 Feb 2025 19:37:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=90801, Retrieved Thu, 20 Feb 2025 19:37:17 +0000
QR Codes:

Original text written by user:
IsPrivate?This computation is/was private until 2010-11-03
User-defined keywords
Estimated Impact675

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] [] [2010-11-01 13:29:50] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-08 08:21:33] [22937c5b58c14f6c22964f32d64ff823]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-18 15:22:45] [69c775ce4d55db2aa75a88e773e8d700]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample t-test...] [2011-10-27 22:57:08] [7f54ec67e5798cc59f49446b41e2f221]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 task 5] [2011-10-30 16:20:55] [a9dc51245fb8ca00f931d89893d090c8]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 task 5] [2011-10-30 16:33:58] [a9dc51245fb8ca00f931d89893d090c8]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [W5 V5T] [2011-10-31 17:20:55] [74be16979710d4c4e7c6647856088456]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-01 14:39:02] [86f7284edee3dbb8ea5c7e2dec87d892]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Question 5 - WS5 ...] [2011-11-07 20:42:21] [dea2223cade331092cb80c89f49545fe]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-14 18:31:08] [145a13cc95845961a3828fae7139a7eb]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-14 11:18:44] [0f1ce50ec9632e206f4325c3ca8926e2]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Two-sample T-test...] [2011-12-14 14:21:56] [cd6e7488bdf368f344c8d209e8917833]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Two-sample T-test...] [2011-12-14 14:30:37] [cd6e7488bdf368f344c8d209e8917833]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Two-sample T-test...] [2011-12-14 14:36:28] [cd6e7488bdf368f344c8d209e8917833]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-15 17:50:14] [182e2e10fa38557ff81755a04c8c64c0]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-15 17:50:14] [182e2e10fa38557ff81755a04c8c64c0]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-15 17:50:14] [182e2e10fa38557ff81755a04c8c64c0]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-15 17:50:14] [182e2e10fa38557ff81755a04c8c64c0]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-15 20:47:47] [c53df38315e3cbde2dbe0de809195ef2]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [two sample t-test...] [2011-12-18 10:34:20] [baac05fe722f73c103cc2d713fa5bd78]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [paper hypothese] [2011-12-18 15:25:50] [6bdab4f5b22620afa7d9dc512ad4e377]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [paper testen hypo...] [2011-12-18 19:43:18] [d5821fed422662f85834b1edae505ce2]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-19 20:00:00] [2d3d135c7070430a7cc2b1c9a86f42b1]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [T_lt] [2011-12-20 01:49:28] [7e17e0c557325a60eb6c8af681a1c273]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [5. Is de gemiddel...] [2011-12-20 16:39:24] [456cd98d071701b5f4c3a71c54fae48b]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [2T] [2011-12-22 15:33:52] [98f3ba974ec9d6d754dcc83206539a91]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [2T] [2011-12-22 15:33:52] [98f3ba974ec9d6d754dcc83206539a91]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-10-14 16:54:35] [74be16979710d4c4e7c6647856088456]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [WS5-Question 5 - T] [2012-10-15 12:08:24] [46762b18b00d15214a19b2ee3ead9dc9]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [WS5-Question 5 - E] [2012-10-15 12:12:51] [46762b18b00d15214a19b2ee3ead9dc9]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [WS5-Question 5 - S] [2012-10-15 12:16:03] [46762b18b00d15214a19b2ee3ead9dc9]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-10-15 13:56:59] [74be16979710d4c4e7c6647856088456]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-10-15 19:40:59] [0208c1f08efc8e25366206e954253d87]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [WS5 Q5 T] [2012-10-29 15:34:20] [9dd9c05d056fdee415816a8bd25f68fd]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Task 5 T] [2012-10-30 11:26:24] [c5937bf2e8e0a7b2aa466d1286878951]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 - Q5 (2)] [2012-10-30 15:12:50] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [ws 5 q5 2] [2012-10-30 15:13:42] [74be16979710d4c4e7c6647856088456]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-12-03 11:56:03] [1dc9e9bb821d24d6d1efa0483d04b9f8]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-12-03 11:56:03] [1dc9e9bb821d24d6d1efa0483d04b9f8]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-12-03 11:59:35] [1dc9e9bb821d24d6d1efa0483d04b9f8]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [Paper Deel 2 Pair...] [2012-12-14 15:18:14] [2972d443360a042d7188069add54b356]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Ques...] [2013-11-05 11:59:43] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Exp1...] [2013-11-05 13:47:52] [508ad00fbaced7ad8e80ddb3167ea0fd]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2013-11-06 07:58:46] [fcc5c79267206050edde2804b94bb45f]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2013-11-06 08:06:20] [28b01683adeed0ece37c11d0e0637e9d]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2014-10-21 07:58:48] [32b17a345b130fdf5cc88718ed94a974]
-  M        [Paired and Unpaired Two Samples Tests about the Mean] [q5] [2014-10-29 09:40:55] [eee95947b6243a1febfcd5f41483d733]
-           [Paired and Unpaired Two Samples Tests about the Mean] [] [2014-10-29 10:16:05] [2b9d0c54c8c845c625e475ed5f1f3af1]
-  M        [Paired and Unpaired Two Samples Tests about the Mean] [] [2014-10-29 10:37:33] [eee95947b6243a1febfcd5f41483d733]

[Truncated]
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Dataset

Dataseries X:
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Histogram
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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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90801&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90801&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90801&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' @ 72.249.127.135






Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.0333333333333333
t-stat-0.238693233513124
df29
p-value0.813022196516673
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.318948138583667,0.252281471917001]
F-test to compare two variances
F-stat1.02811144477811
df36
p-value0.948017979957299
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.501634592262639,2.05118823894321]

\begin{tabular}{lllllllll}
\hline
Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & -0.0333333333333333 \tabularnewline
t-stat & -0.238693233513124 \tabularnewline
df & 29 \tabularnewline
p-value & 0.813022196516673 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-0.318948138583667,0.252281471917001] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 1.02811144477811 \tabularnewline
df & 36 \tabularnewline
p-value & 0.948017979957299 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.501634592262639,2.05118823894321] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90801&T=1

[TABLE]
[ROW][C]Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.0333333333333333[/C][/ROW]
[ROW][C]t-stat[/C][C]-0.238693233513124[/C][/ROW]
[ROW][C]df[/C][C]29[/C][/ROW]
[ROW][C]p-value[/C][C]0.813022196516673[/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][-0.318948138583667,0.252281471917001][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]1.02811144477811[/C][/ROW]
[ROW][C]df[/C][C]36[/C][/ROW]
[ROW][C]p-value[/C][C]0.948017979957299[/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][0.501634592262639,2.05118823894321][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90801&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90801&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 - Mean2-0.0333333333333333
t-stat-0.238693233513124
df29
p-value0.813022196516673
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.318948138583667,0.252281471917001]
F-test to compare two variances
F-stat1.02811144477811
df36
p-value0.948017979957299
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.501634592262639,2.05118823894321]






Welch Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.0333333333333333
t-stat-0.238693233513124
df29
p-value0.813022196516673
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.318948138583667,0.252281471917001]

\begin{tabular}{lllllllll}
\hline
Welch Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & -0.0333333333333333 \tabularnewline
t-stat & -0.238693233513124 \tabularnewline
df & 29 \tabularnewline
p-value & 0.813022196516673 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-0.318948138583667,0.252281471917001] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90801&T=2

[TABLE]
[ROW][C]Welch Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.0333333333333333[/C][/ROW]
[ROW][C]t-stat[/C][C]-0.238693233513124[/C][/ROW]
[ROW][C]df[/C][C]29[/C][/ROW]
[ROW][C]p-value[/C][C]0.813022196516673[/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][-0.318948138583667,0.252281471917001][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90801&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90801&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 - Mean2-0.0333333333333333
t-stat-0.238693233513124
df29
p-value0.813022196516673
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.318948138583667,0.252281471917001]






Wicoxon rank sum test with continuity correction (paired)
W72
p-value0.829309516759259
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.0594594594594595
p-value0.99999999262585
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.54054054054054
p-value0.000124877670779733

\begin{tabular}{lllllllll}
\hline
Wicoxon rank sum test with continuity correction (paired) \tabularnewline
W & 72 \tabularnewline
p-value & 0.829309516759259 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
Kolmogorov-Smirnov Test to compare Distributions of two Samples \tabularnewline
KS Statistic & 0.0594594594594595 \tabularnewline
p-value & 0.99999999262585 \tabularnewline
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples \tabularnewline
KS Statistic & 0.54054054054054 \tabularnewline
p-value & 0.000124877670779733 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90801&T=3

[TABLE]
[ROW][C]Wicoxon rank sum test with continuity correction (paired)[/C][/ROW]
[ROW][C]W[/C][C]72[/C][/ROW]
[ROW][C]p-value[/C][C]0.829309516759259[/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]0.0594594594594595[/C][/ROW]
[ROW][C]p-value[/C][C]0.99999999262585[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.54054054054054[/C][/ROW]
[ROW][C]p-value[/C][C]0.000124877670779733[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90801&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90801&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 (paired)
W72
p-value0.829309516759259
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.0594594594594595
p-value0.99999999262585
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.54054054054054
p-value0.000124877670779733


Figures (Output of Computation)

Input Parameters & R Code

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')