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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 13:07:12 +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/t1288616900dyflx4ebar1wbv4.htm/, Retrieved Sat, 27 Apr 2024 07:33:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=90781, Retrieved Sat, 27 Apr 2024 07:33:10 +0000
QR Codes:

Original text written by user:
IsPrivate?This computation is/was private until 2010-11-03
User-defined keywords
Estimated Impact1151

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 13:07:12] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [ws5 q1 review] [2010-11-04 10:37:32] [c1a9f1d6a1a56eda57b5ddd6daa7a288]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-08 07:47:00] [22937c5b58c14f6c22964f32d64ff823]
- R         [Paired and Unpaired Two Samples Tests about the Mean] [Question 1] [2011-10-26 09:09:06] [baac05fe722f73c103cc2d713fa5bd78]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Paper - paired tw...] [2010-11-12 21:58:58] [6ff9fb24bdca608d2f4f1f9db3f6445e]
-   PD      [Paired and Unpaired Two Samples Tests about the Mean] [computation18] [2010-11-16 11:54:47] [dc30d19c3bc2be07fe595ad36c2cf923]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-18 14:42:55] [69c775ce4d55db2aa75a88e773e8d700]
- R PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-18 14:51:38] [69c775ce4d55db2aa75a88e773e8d700]
- R PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-18 15:00:20] [69c775ce4d55db2aa75a88e773e8d700]
- R PD    [Paired and Unpaired Two Samples Tests about the Mean] [Treatment F post ...] [2010-11-21 20:19:57] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D      [Paired and Unpaired Two Samples Tests about the Mean] [treatment E post ...] [2010-11-21 20:24:17] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D        [Paired and Unpaired Two Samples Tests about the Mean] [Treatment H post ...] [2010-11-21 20:26:45] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 2 - Vraag 1] [2010-11-22 21:57:44] [91de8b765895d6ee0c73f0d2e284be17]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 2 - Vraag 1] [2010-11-24 10:19:20] [91de8b765895d6ee0c73f0d2e284be17]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample T-test...] [2010-12-07 10:17:26] [26379b86c25fbf0febe6a7a428e65173]
-    D      [Paired and Unpaired Two Samples Tests about the Mean] [Paired Two Sampe ...] [2010-12-10 13:57:39] [26379b86c25fbf0febe6a7a428e65173]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [T-tests mannen en...] [2010-12-07 16:03:09] [95e8426e0df851c9330605aa1e892ab5]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Paired Two Sample...] [2010-12-10 11:58:52] [26379b86c25fbf0febe6a7a428e65173]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [two sample tests] [2010-12-11 15:19:50] [39c51da0be01189e8a44eb69e891b7a1]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Treatment CSWE] [2010-12-11 15:42:10] [39c51da0be01189e8a44eb69e891b7a1]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Treatment C] [2010-12-11 15:50:15] [39c51da0be01189e8a44eb69e891b7a1]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Treatment C] [2010-12-11 15:50:15] [39c51da0be01189e8a44eb69e891b7a1]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Treatment C] [2010-12-11 15:50:15] [39c51da0be01189e8a44eb69e891b7a1]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Question 1] [2011-10-25 09:23:36] [07b2c5c51166cb60d3a449987e886a27]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample t-test...] [2011-10-27 21:16:47] [7f54ec67e5798cc59f49446b41e2f221]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample t-test...] [2011-10-27 21:25:30] [7f54ec67e5798cc59f49446b41e2f221]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-10-28 07:25:58] [86f7284edee3dbb8ea5c7e2dec87d892]
- R P       [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-10-28 07:32:03] [86f7284edee3dbb8ea5c7e2dec87d892]
-    D      [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-10-28 07:53:37] [86f7284edee3dbb8ea5c7e2dec87d892]
- R P         [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-10-28 07:54:27] [86f7284edee3dbb8ea5c7e2dec87d892]
- R P         [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-10-28 07:54:27] [86f7284edee3dbb8ea5c7e2dec87d892]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Dries Jansen - Pr...] [2011-10-28 09:16:48] [74b1e5a3104ff0b2404b2865a63336ad]
- RM        [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-08 19:19:07] [74be16979710d4c4e7c6647856088456]
- RM        [Paired and Unpaired Two Samples Tests about the Mean] [Pre (E) - Post1(E)] [2011-11-08 19:19:54] [74be16979710d4c4e7c6647856088456]
- RM        [Paired and Unpaired Two Samples Tests about the Mean] [Pre (E) - Post1(E)] [2011-11-08 19:22:13] [74be16979710d4c4e7c6647856088456]
- RM        [Paired and Unpaired Two Samples Tests about the Mean] [Pre (E) - Post1(E)] [2011-11-08 19:22:51] [74be16979710d4c4e7c6647856088456]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 task 1] [2011-10-30 13:25:17] [a9dc51245fb8ca00f931d89893d090c8]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [C5 V1a] [2011-10-31 16:29:34] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [C5 V1b] [2011-10-31 16:39:06] [74be16979710d4c4e7c6647856088456]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [C4 V1c] [2011-10-31 17:10:14] [74be16979710d4c4e7c6647856088456]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [task 5.1] [2011-11-01 16:02:39] [d1ce18d003fa52f731d1c3ce8b58d5f9]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [task 5.1] [2011-11-01 16:04:23] [d1ce18d003fa52f731d1c3ce8b58d5f9]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-01 16:05:20] [ee8c3a74bf3b349877806e9a50913c60]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [task 5.2] [2011-11-01 16:15:16] [d1ce18d003fa52f731d1c3ce8b58d5f9]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [task 5.3] [2011-11-01 16:20:37] [d1ce18d003fa52f731d1c3ce8b58d5f9]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [task 5.5.1] [2011-11-01 16:38:40] [d1ce18d003fa52f731d1c3ce8b58d5f9]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [task 5.5.2] [2011-11-01 16:41:11] [d1ce18d003fa52f731d1c3ce8b58d5f9]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [task 5.5.3] [2011-11-01 16:43:02] [d1ce18d003fa52f731d1c3ce8b58d5f9]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-02 12:30:16] [ec2187f7727da5d5d939740b21b8b68a]

[Truncated]
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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'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=90781&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=90781&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90781&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'George Udny Yule' @ 72.249.76.132






Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.363636363636364
t-stat-3.80664761144709
df32
p-value0.000600974473770437
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.558217819444907,-0.169054907827820]
F-test to compare two variances
F-stat1.3
df32
p-value0.462180712842677
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.642054974596472,2.63217336032971]

\begin{tabular}{lllllllll}
\hline
Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & -0.363636363636364 \tabularnewline
t-stat & -3.80664761144709 \tabularnewline
df & 32 \tabularnewline
p-value & 0.000600974473770437 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-0.558217819444907,-0.169054907827820] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 1.3 \tabularnewline
df & 32 \tabularnewline
p-value & 0.462180712842677 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.642054974596472,2.63217336032971] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90781&T=1

[TABLE]
[ROW][C]Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.363636363636364[/C][/ROW]
[ROW][C]t-stat[/C][C]-3.80664761144709[/C][/ROW]
[ROW][C]df[/C][C]32[/C][/ROW]
[ROW][C]p-value[/C][C]0.000600974473770437[/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][-0.558217819444907,-0.169054907827820][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]1.3[/C][/ROW]
[ROW][C]df[/C][C]32[/C][/ROW]
[ROW][C]p-value[/C][C]0.462180712842677[/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][0.642054974596472,2.63217336032971][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90781&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90781&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 - Mean2-0.363636363636364
t-stat-3.80664761144709
df32
p-value0.000600974473770437
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.558217819444907,-0.169054907827820]
F-test to compare two variances
F-stat1.3
df32
p-value0.462180712842677
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.642054974596472,2.63217336032971]






Welch Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.363636363636364
t-stat-3.80664761144709
df32
p-value0.000600974473770437
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.558217819444907,-0.169054907827820]

\begin{tabular}{lllllllll}
\hline
Welch Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & -0.363636363636364 \tabularnewline
t-stat & -3.80664761144709 \tabularnewline
df & 32 \tabularnewline
p-value & 0.000600974473770437 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-0.558217819444907,-0.169054907827820] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90781&T=2

[TABLE]
[ROW][C]Welch Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.363636363636364[/C][/ROW]
[ROW][C]t-stat[/C][C]-3.80664761144709[/C][/ROW]
[ROW][C]df[/C][C]32[/C][/ROW]
[ROW][C]p-value[/C][C]0.000600974473770437[/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][-0.558217819444907,-0.169054907827820][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90781&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90781&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 - Mean2-0.363636363636364
t-stat-3.80664761144709
df32
p-value0.000600974473770437
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.558217819444907,-0.169054907827820]






Wicoxon rank sum test with continuity correction (paired)
W7.5
p-value0.00151653831170848
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.363636363636364
p-value0.025463957781115
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.393939393939394
p-value0.0119375646999563

\begin{tabular}{lllllllll}
\hline
Wicoxon rank sum test with continuity correction (paired) \tabularnewline
W & 7.5 \tabularnewline
p-value & 0.00151653831170848 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
Kolmogorov-Smirnov Test to compare Distributions of two Samples \tabularnewline
KS Statistic & 0.363636363636364 \tabularnewline
p-value & 0.025463957781115 \tabularnewline
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples \tabularnewline
KS Statistic & 0.393939393939394 \tabularnewline
p-value & 0.0119375646999563 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90781&T=3

[TABLE]
[ROW][C]Wicoxon rank sum test with continuity correction (paired)[/C][/ROW]
[ROW][C]W[/C][C]7.5[/C][/ROW]
[ROW][C]p-value[/C][C]0.00151653831170848[/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]0.363636363636364[/C][/ROW]
[ROW][C]p-value[/C][C]0.025463957781115[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.393939393939394[/C][/ROW]
[ROW][C]p-value[/C][C]0.0119375646999563[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90781&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90781&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)
W7.5
p-value0.00151653831170848
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.363636363636364
p-value0.025463957781115
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.393939393939394
p-value0.0119375646999563


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')