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Description of Statistical Computation

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 computationFri, 29 Oct 2010 11:21:29 +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/Oct/29/t12883512086dji5a5jwlqdn0a.htm/, Retrieved Sat, 27 Apr 2024 07:33:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=90011, Retrieved Sat, 27 Apr 2024 07:33:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact232

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] [Dagelijkse omzet ...] [2010-10-25 11:22:12] [b98453cac15ba1066b407e146608df68]
-   PD    [Paired and Unpaired Two Samples Tests about the Mean] [question 1] [2010-10-29 11:21:29] [606daa46683961cdd2a740c3e0051d62] [Current]
-    D      [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-01 09:09:46] [22937c5b58c14f6c22964f32d64ff823]
F             [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Questi...] [2010-11-01 15:16:28] [945bcebba5e7ac34a41d6888338a1ba9]
-               [Paired and Unpaired Two Samples Tests about the Mean] [] [2010-11-02 14:43:14] [5278e0a58c5de897b31ce79607e774d7]
- R           [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5, quest...] [2010-11-01 15:47:17] [3635fb7041b1998c5a1332cf9de22bce]
-    D          [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5, quest...] [2010-11-01 16:24:52] [3635fb7041b1998c5a1332cf9de22bce]
-    D            [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5, quest...] [2010-11-01 16:41:51] [3635fb7041b1998c5a1332cf9de22bce]
-    D              [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5, quest...] [2010-11-01 18:10:54] [3635fb7041b1998c5a1332cf9de22bce]
-                     [Paired and Unpaired Two Samples Tests about the Mean] [WS5 - Question 5 ...] [2010-11-02 14:55:36] [8081b8996d5947580de3eb171e82db4f]
F                     [Paired and Unpaired Two Samples Tests about the Mean] [WS5 - Question 5 ...] [2010-11-02 14:55:36] [8081b8996d5947580de3eb171e82db4f]
-                       [Paired and Unpaired Two Samples Tests about the Mean] [ws 5-5 Treatment E ] [2010-11-02 21:02:07] [2c786c21adba4dd4c8af44dce5258f06]
- R                   [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-04 09:25:39] [74be16979710d4c4e7c6647856088456]
- R                   [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-04 09:45:17] [74be16979710d4c4e7c6647856088456]
-  M                    [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-14 18:40:52] [22f8bc702946f784836540059d0d9516]
-   P                 [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Task 5] [2011-11-08 19:03:11] [43239ed98a62e091c70785d80176537f]
-    D              [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5, quest...] [2010-11-01 18:13:04] [3635fb7041b1998c5a1332cf9de22bce]
F                     [Paired and Unpaired Two Samples Tests about the Mean] [WS5 - Question 5 ...] [2010-11-02 14:41:39] [8081b8996d5947580de3eb171e82db4f]
-                       [Paired and Unpaired Two Samples Tests about the Mean] [ws 5-5 ] [2010-11-02 20:58:12] [2c786c21adba4dd4c8af44dce5258f06]
-                     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Ques...] [2011-11-02 11:28:37] [d0cddc92c01af61bef0226b9e5ade9b3]
- R                     [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - vraag 5 de...] [2011-11-08 14:26:48] [95a4a8598e82ac3272c4dca488d0ba38]
-  M                      [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 7] [2012-10-29 20:15:36] [d31c851fa7fbee45412c0a7bcdad10e5]
-    D                [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Ques...] [2011-11-02 11:54:30] [d0cddc92c01af61bef0226b9e5ade9b3]
- R                     [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - vraag 5 de...] [2011-11-08 14:42:27] [95a4a8598e82ac3272c4dca488d0ba38]
-  M                      [Paired and Unpaired Two Samples Tests about the Mean] [WS5 7] [2012-10-29 20:24:21] [d31c851fa7fbee45412c0a7bcdad10e5]
-    D                [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 - Ques...] [2011-11-02 12:12:15] [d0cddc92c01af61bef0226b9e5ade9b3]
- R                     [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - vraag 5 de...] [2011-11-08 14:57:05] [95a4a8598e82ac3272c4dca488d0ba38]
-  M                      [Paired and Unpaired Two Samples Tests about the Mean] [WS5 8] [2012-10-29 20:30:24] [d31c851fa7fbee45412c0a7bcdad10e5]
- R                   [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-04 09:18:54] [74be16979710d4c4e7c6647856088456]
- R                   [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-04 09:38:31] [74be16979710d4c4e7c6647856088456]
-   P                 [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Task 5] [2011-11-08 19:01:24] [43239ed98a62e091c70785d80176537f]
-                     [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Questi...] [2011-11-08 23:49:53] [43a0606d8103c0ba382f0586f4417c48]
-    D                [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Questi...] [2011-11-08 23:50:48] [43a0606d8103c0ba382f0586f4417c48]
-    D              [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5, quest...] [2010-11-01 18:14:57] [3635fb7041b1998c5a1332cf9de22bce]
F                     [Paired and Unpaired Two Samples Tests about the Mean] [WS5 - Question 5 ...] [2010-11-02 15:33:39] [8081b8996d5947580de3eb171e82db4f]
-                       [Paired and Unpaired Two Samples Tests about the Mean] [Ws 5-5 treatment S ] [2010-11-02 21:06:04] [2c786c21adba4dd4c8af44dce5258f06]
- R                   [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-04 09:31:38] [74be16979710d4c4e7c6647856088456]
- RM                  [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-04 09:50:16] [74be16979710d4c4e7c6647856088456]
-   P                 [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Task 5] [2011-11-08 19:04:15] [43239ed98a62e091c70785d80176537f]
- R                 [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-03 20:30:40] [74be16979710d4c4e7c6647856088456]
-  M                  [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-14 18:33:33] [22f8bc702946f784836540059d0d9516]
- R                 [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-04 09:02:23] [74be16979710d4c4e7c6647856088456]
-                   [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Task 3] [2011-11-08 18:48:52] [43239ed98a62e091c70785d80176537f]
- R               [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-03 20:12:33] [74be16979710d4c4e7c6647856088456]
-  M                [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-14 18:32:32] [22f8bc702946f784836540059d0d9516]
- R               [Paired and Unpaired Two Samples Tests about the Mean] [] [2011-11-04 08:45:26] [74be16979710d4c4e7c6647856088456]
-                 [Paired and Unpaired Two Samples Tests about the Mean] [WS 5 - Task 2] [2011-11-08 18:42:15] [43239ed98a62e091c70785d80176537f]
-                 [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Questi...] [2011-11-08 22:39:09] [43a0606d8103c0ba382f0586f4417c48]
-                 [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Questi...] [2011-11-08 22:42:03] [43a0606d8103c0ba382f0586f4417c48]
-    D            [Paired and Unpaired Two Samples Tests about the Mean] [Workshop 5 Questi...] [2011-11-08 22:51:18] [43a0606d8103c0ba382f0586f4417c48]

[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 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=90011&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=90011&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90011&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 - Mean20.363636363636364
t-stat3.80664761144709
df32
p-value0.000600974473770437
H0 value0
Alternativetwo.sided
CI Level0.95
CI[0.169054907827820,0.558217819444907]
F-test to compare two variances
F-stat0.769230769230769
df32
p-value0.462180712842677
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.379914186151759,1.55749902978089]

\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 & [0.169054907827820,0.558217819444907] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 0.769230769230769 \tabularnewline
df & 32 \tabularnewline
p-value & 0.462180712842677 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [0.379914186151759,1.55749902978089] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90011&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][0.169054907827820,0.558217819444907][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]0.769230769230769[/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][0.379914186151759,1.55749902978089][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90011&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90011&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 - Mean20.363636363636364
t-stat3.80664761144709
df32
p-value0.000600974473770437
H0 value0
Alternativetwo.sided
CI Level0.95
CI[0.169054907827820,0.558217819444907]
F-test to compare two variances
F-stat0.769230769230769
df32
p-value0.462180712842677
H0 value1
Alternativetwo.sided
CI Level0.95
CI[0.379914186151759,1.55749902978089]






Welch Two Sample t-test (paired)
Difference: Mean1 - Mean20.363636363636364
t-stat3.80664761144709
df32
p-value0.000600974473770437
H0 value0
Alternativetwo.sided
CI Level0.95
CI[0.169054907827820,0.558217819444907]

\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 & [0.169054907827820,0.558217819444907] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=90011&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][0.169054907827820,0.558217819444907][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=90011&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90011&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 - Mean20.363636363636364
t-stat3.80664761144709
df32
p-value0.000600974473770437
H0 value0
Alternativetwo.sided
CI Level0.95
CI[0.169054907827820,0.558217819444907]






Wicoxon rank sum test with continuity correction (paired)
W97.5
p-value0.00151653831170839
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 & 97.5 \tabularnewline
p-value & 0.00151653831170839 \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=90011&T=3

[TABLE]
[ROW][C]Wicoxon rank sum test with continuity correction (paired)[/C][/ROW]
[ROW][C]W[/C][C]97.5[/C][/ROW]
[ROW][C]p-value[/C][C]0.00151653831170839[/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=90011&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=90011&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)
W97.5
p-value0.00151653831170839
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 = 0.95 ; par4 = two.sided ; par5 = paired ; par6 = 0.0 ;
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')