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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 13:27:45 +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/t1288617979bdm82lp0d0put61.htm/, Retrieved Sat, 27 Apr 2024 18:41:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=90795, Retrieved Sat, 27 Apr 2024 18:41:37 +0000
QR Codes:

Original text written by user:
IsPrivate?This computation is/was private until 2010-11-03
User-defined keywords
Estimated Impact763

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 13:27:45] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-08 08:27:12] [22937c5b58c14f6c22964f32d64ff823]
- R PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-18 15:16:44] [69c775ce4d55db2aa75a88e773e8d700]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-18 15:20:32] [69c775ce4d55db2aa75a88e773e8d700]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 2 Q 5 tr...] [2010-11-23 17:09:24] [9856f62fe16b3bb5126cae5dd74e4807]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample t-test...] [2011-10-27 22:59:59] [7f54ec67e5798cc59f49446b41e2f221]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [W5 V5S] [2011-10-31 17:22:21] [74be16979710d4c4e7c6647856088456]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-01 14:42:02] [86f7284edee3dbb8ea5c7e2dec87d892]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-01 17:15:21] [ee8c3a74bf3b349877806e9a50913c60]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-01 17:17:08] [ee8c3a74bf3b349877806e9a50913c60]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-01 17:18:21] [ee8c3a74bf3b349877806e9a50913c60]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-05 11:36:48] [1dc3906a3b5a6ec06dc921f387100c9e]
- R  D      [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-05 11:38:39] [1dc3906a3b5a6ec06dc921f387100c9e]
- R  D      [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-05 11:41:15] [1dc3906a3b5a6ec06dc921f387100c9e]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Question 5 - WS5 ...] [2011-11-07 20:36:57] [dea2223cade331092cb80c89f49545fe]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Treatment E] [2011-11-08 17:38:51] [19d77e37efa419fdc040c74a96874aff]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-08 17:41:24] [19d77e37efa419fdc040c74a96874aff]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [Treatment E] [2011-11-08 17:42:52] [19d77e37efa419fdc040c74a96874aff]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-14 11:16:26] [0f1ce50ec9632e206f4325c3ca8926e2]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-15 17:53:27] [182e2e10fa38557ff81755a04c8c64c0]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-16 08:02:16] [80bca13c5f9401fbb753952fd2952f4a]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-16 08:03:59] [80bca13c5f9401fbb753952fd2952f4a]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-16 08:06:22] [80bca13c5f9401fbb753952fd2952f4a]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [two sample t-test...] [2011-12-18 10:32:43] [baac05fe722f73c103cc2d713fa5bd78]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [paper hypothese] [2011-12-18 15:22:43] [6bdab4f5b22620afa7d9dc512ad4e377]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [paper testen hypo...] [2011-12-18 19:41:46] [d5821fed422662f85834b1edae505ce2]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-12-19 20:02:44] [2d3d135c7070430a7cc2b1c9a86f42b1]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [s_lt] [2011-12-20 01:44:34] [7e17e0c557325a60eb6c8af681a1c273]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [6. Is de gemiddel...] [2011-12-20 16:41:54] [456cd98d071701b5f4c3a71c54fae48b]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [2S] [2011-12-22 15:31:13] [98f3ba974ec9d6d754dcc83206539a91]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [2S] [2011-12-22 15:31:13] [98f3ba974ec9d6d754dcc83206539a91]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [2S] [2011-12-22 15:31:13] [98f3ba974ec9d6d754dcc83206539a91]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-10-14 16:51:13] [74be16979710d4c4e7c6647856088456]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2012-10-15 13:54:36] [74be16979710d4c4e7c6647856088456]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [ws5q5] [2012-10-15 19:51:02] [fa543719fe3f8358943b948de15add90]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 - ques...] [2012-10-29 13:53:26] [4b5d54c77ed936bc7098bee572b32092]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 - ques...] [2012-10-29 13:55:59] [4b5d54c77ed936bc7098bee572b32092]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 - ques...] [2012-10-29 13:58:52] [4b5d54c77ed936bc7098bee572b32092]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [WS5 Q5 S] [2012-10-29 15:32:34] [9dd9c05d056fdee415816a8bd25f68fd]
-   P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Task 5 S] [2012-10-30 11:23:21] [c5937bf2e8e0a7b2aa466d1286878951]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [workshop 5 - Q5 ] [2012-10-30 15:10:26] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [ws 5 q5 1] [2012-10-30 15:11:51] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample t-test...] [2012-12-03 11:50:54] [1dc9e9bb821d24d6d1efa0483d04b9f8]
- R         [Paired and Unpaired Two Samples Tests about the Mean] [Two Sample t-test...] [2012-12-03 11:53:18] [1dc9e9bb821d24d6d1efa0483d04b9f8]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [two paired t test] [2012-12-12 17:17:42] [76116c47d63789e66036c2bf516dd7c8]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Paper Deel 2 Pair...] [2012-12-14 15:17:24] [2972d443360a042d7188069add54b356]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Ques...] [2013-11-05 11:56:03] [74be16979710d4c4e7c6647856088456]
- R P     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Exp1...] [2013-11-05 13:46:11] [508ad00fbaced7ad8e80ddb3167ea0fd]
- RMP     [Paired and Unpaired Two Samples Tests about the Mean] [] [2013-11-06 07:58:37] [fcc5c79267206050edde2804b94bb45f]

[Truncated]
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Dataset

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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 time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90795&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90795&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90795&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'Gwilym Jenkins' @ 72.249.127.135






Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.233333333333333
t-stat-2.24876399423758
df29
p-value0.0322941685086481
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.445547799170492,-0.0211188674961744]
F-test to compare two variances
F-stat1.17593704148326
df34
p-value0.660612705834739
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.570217719195969,2.37619052914639]

\begin{tabular}{lllllllll}
\hline
Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & -0.233333333333333 \tabularnewline
t-stat & -2.24876399423758 \tabularnewline
df & 29 \tabularnewline
p-value & 0.0322941685086481 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-0.445547799170492,-0.0211188674961744] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 1.17593704148326 \tabularnewline
df & 34 \tabularnewline
p-value & 0.660612705834739 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.570217719195969,2.37619052914639] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90795&T=1

[TABLE]
[ROW][C]Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.233333333333333[/C][/ROW]
[ROW][C]t-stat[/C][C]-2.24876399423758[/C][/ROW]
[ROW][C]df[/C][C]29[/C][/ROW]
[ROW][C]p-value[/C][C]0.0322941685086481[/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][-0.445547799170492,-0.0211188674961744][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]1.17593704148326[/C][/ROW]
[ROW][C]df[/C][C]34[/C][/ROW]
[ROW][C]p-value[/C][C]0.660612705834739[/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][0.570217719195969,2.37619052914639][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90795&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90795&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 - Mean2-0.233333333333333
t-stat-2.24876399423758
df29
p-value0.0322941685086481
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.445547799170492,-0.0211188674961744]
F-test to compare two variances
F-stat1.17593704148326
df34
p-value0.660612705834739
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.570217719195969,2.37619052914639]






Welch Two Sample t-test (paired)
Difference: Mean1 - Mean2-0.233333333333333
t-stat-2.24876399423758
df29
p-value0.0322941685086481
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.445547799170492,-0.0211188674961744]

\begin{tabular}{lllllllll}
\hline
Welch Two Sample t-test (paired) \tabularnewline
Difference: Mean1 - Mean2 & -0.233333333333333 \tabularnewline
t-stat & -2.24876399423758 \tabularnewline
df & 29 \tabularnewline
p-value & 0.0322941685086481 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [-0.445547799170492,-0.0211188674961744] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90795&T=2

[TABLE]
[ROW][C]Welch Two Sample t-test (paired)[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]-0.233333333333333[/C][/ROW]
[ROW][C]t-stat[/C][C]-2.24876399423758[/C][/ROW]
[ROW][C]df[/C][C]29[/C][/ROW]
[ROW][C]p-value[/C][C]0.0322941685086481[/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][-0.445547799170492,-0.0211188674961744][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90795&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90795&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 - Mean2-0.233333333333333
t-stat-2.24876399423758
df29
p-value0.0322941685086481
H0 value0
Alternativetwo.sided
CI Level0.95
CI[-0.445547799170492,-0.0211188674961744]






Wicoxon rank sum test with continuity correction (paired)
W12
p-value0.0393672406234953
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.242857142857143
p-value0.296541362455680
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.457142857142857
p-value0.00233790237474873

\begin{tabular}{lllllllll}
\hline
Wicoxon rank sum test with continuity correction (paired) \tabularnewline
W & 12 \tabularnewline
p-value & 0.0393672406234953 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
Kolmogorov-Smirnov Test to compare Distributions of two Samples \tabularnewline
KS Statistic & 0.242857142857143 \tabularnewline
p-value & 0.296541362455680 \tabularnewline
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples \tabularnewline
KS Statistic & 0.457142857142857 \tabularnewline
p-value & 0.00233790237474873 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90795&T=3

[TABLE]
[ROW][C]Wicoxon rank sum test with continuity correction (paired)[/C][/ROW]
[ROW][C]W[/C][C]12[/C][/ROW]
[ROW][C]p-value[/C][C]0.0393672406234953[/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]0.242857142857143[/C][/ROW]
[ROW][C]p-value[/C][C]0.296541362455680[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.457142857142857[/C][/ROW]
[ROW][C]p-value[/C][C]0.00233790237474873[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90795&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90795&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)
W12
p-value0.0393672406234953
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic0.242857142857143
p-value0.296541362455680
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.457142857142857
p-value0.00233790237474873


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')