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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 computationMon, 26 Nov 2012 08:21:57 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/26/t1353936138gui4e04l2r5n0dx.htm/, Retrieved Tue, 30 Apr 2024 04:39:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=193146, Retrieved Tue, 30 Apr 2024 04:39:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Testing Mean with known Variance - Sample Size] [9] [2012-10-07 19:21:21] [0dc867bfbaab36a894719867823e3cb9]
- RMPD    [Paired and Unpaired Two Samples Tests about the Mean] [Unpaired Two Samp...] [2012-11-26 13:21:57] [447cab31e466d1c88f957d20e303ed40] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41	38	13	12
39	32	16	11
30	35	19	15
31	33	15	6
34	37	14	13
35	29	13	10
39	31	19	12
34	36	15	14
36	35	14	12
37	38	15	6
38	31	16	10
36	34	16	12
38	35	16	12
39	38	16	11
33	37	17	15
32	33	15	12
36	32	15	10
38	38	20	12
39	38	18	11
32	32	16	12
32	33	16	11
31	31	16	12
39	38	19	13
37	39	16	11
39	32	17	9
41	32	17	13
36	35	16	10
33	37	15	14
33	33	16	12
34	33	14	10
31	28	15	12
27	32	12	8
37	31	14	10
34	37	16	12
34	30	14	12
32	33	7	7
29	31	10	6
36	33	14	12
29	31	16	10
35	33	16	10
37	32	16	10
34	33	14	12
38	32	20	15
35	33	14	10
38	28	14	10
37	35	11	12
38	39	14	13
33	34	15	11
36	38	16	11
38	32	14	12
32	38	16	14
32	30	14	10
32	33	12	12
34	38	16	13
32	32	9	5
37	32	14	6
39	34	16	12
29	34	16	12
37	36	15	11
35	34	16	10
30	28	12	7
38	34	16	12
34	35	16	14
31	35	14	11
34	31	16	12
35	37	17	13
36	35	18	14
30	27	18	11
39	40	12	12
35	37	16	12
38	36	10	8
31	38	14	11
34	39	18	14
38	41	18	14
34	27	16	12
39	30	17	9
37	37	16	13
34	31	16	11
28	31	13	12
37	27	16	12
33	36	16	12
37	38	20	12
35	37	16	12
37	33	15	12
32	34	15	11
33	31	16	10
38	39	14	9
33	34	16	12
29	32	16	12
33	33	15	12
31	36	12	9
36	32	17	15
35	41	16	12
32	28	15	12
29	30	13	12
39	36	16	10
37	35	16	13
35	31	16	9
37	34	16	12
32	36	14	10
38	36	16	14
37	35	16	11
36	37	20	15
32	28	15	11
33	39	16	11
40	32	13	12
38	35	17	12
41	39	16	12
36	35	16	11
43	42	12	7
30	34	16	12
31	33	16	14
32	41	17	11
32	33	13	11
37	34	12	10
37	32	18	13
33	40	14	13
34	40	14	8
33	35	13	11
38	36	16	12
33	37	13	11
31	27	16	13
38	39	13	12
37	38	16	14
33	31	15	13
31	33	16	15
39	32	15	10
44	39	17	11
33	36	15	9
35	33	12	11
32	33	16	10
28	32	10	11
40	37	16	8
27	30	12	11
37	38	14	12
32	29	15	12
28	22	13	9
34	35	15	11
30	35	11	10
35	34	12	8
31	35	8	9
32	34	16	8
30	34	15	9
30	35	17	15
31	23	16	11
40	31	10	8
32	27	18	13
36	36	13	12
32	31	16	12
35	32	13	9
38	39	10	7
42	37	15	13
34	38	16	9
35	39	16	6
35	34	14	8
33	31	10	8
36	32	17	15
32	37	13	6
33	36	15	9
34	32	16	11
32	35	12	8
34	36	13	8

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' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193146&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193146&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193146&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' @ jenkins.wessa.net






Two Sample t-test (unpaired)
Mean of Sample 134.6234567901235
Mean of Sample 211.0555555555556
t-stat75.0431503784073
df322
p-value4.85756558389442e-206
H0 value0
Alternativetwo.sided
CI Level0.95
CI[22.9500365447453,24.1857659243905]
F-test to compare two variances
F-stat2.48345411536565
df161
p-value1.45048499877731e-08
H0 value1
Alternativetwo.sided
CI Level0.95
CI[1.82142682813344,3.38610601747144]

\begin{tabular}{lllllllll}
\hline
Two Sample t-test (unpaired) \tabularnewline
Mean of Sample 1 & 34.6234567901235 \tabularnewline
Mean of Sample 2 & 11.0555555555556 \tabularnewline
t-stat & 75.0431503784073 \tabularnewline
df & 322 \tabularnewline
p-value & 4.85756558389442e-206 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [22.9500365447453,24.1857659243905] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 2.48345411536565 \tabularnewline
df & 161 \tabularnewline
p-value & 1.45048499877731e-08 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [1.82142682813344,3.38610601747144] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193146&T=1

[TABLE]
[ROW][C]Two Sample t-test (unpaired)[/C][/ROW]
[ROW][C]Mean of Sample 1[/C][C]34.6234567901235[/C][/ROW]
[ROW][C]Mean of Sample 2[/C][C]11.0555555555556[/C][/ROW]
[ROW][C]t-stat[/C][C]75.0431503784073[/C][/ROW]
[ROW][C]df[/C][C]322[/C][/ROW]
[ROW][C]p-value[/C][C]4.85756558389442e-206[/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][22.9500365447453,24.1857659243905][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]2.48345411536565[/C][/ROW]
[ROW][C]df[/C][C]161[/C][/ROW]
[ROW][C]p-value[/C][C]1.45048499877731e-08[/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][1.82142682813344,3.38610601747144][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193146&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193146&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 (unpaired)
Mean of Sample 134.6234567901235
Mean of Sample 211.0555555555556
t-stat75.0431503784073
df322
p-value4.85756558389442e-206
H0 value0
Alternativetwo.sided
CI Level0.95
CI[22.9500365447453,24.1857659243905]
F-test to compare two variances
F-stat2.48345411536565
df161
p-value1.45048499877731e-08
H0 value1
Alternativetwo.sided
CI Level0.95
CI[1.82142682813344,3.38610601747144]






Welch Two Sample t-test (unpaired)
Mean of Sample 134.6234567901235
Mean of Sample 211.0555555555556
t-stat75.0431503784073
df272.568507548139
p-value4.59917379267311e-184
H0 value0
Alternativetwo.sided
CI Level0.95
CI[22.9496135364866,24.1861889326492]

\begin{tabular}{lllllllll}
\hline
Welch Two Sample t-test (unpaired) \tabularnewline
Mean of Sample 1 & 34.6234567901235 \tabularnewline
Mean of Sample 2 & 11.0555555555556 \tabularnewline
t-stat & 75.0431503784073 \tabularnewline
df & 272.568507548139 \tabularnewline
p-value & 4.59917379267311e-184 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.95 \tabularnewline
CI & [22.9496135364866,24.1861889326492] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193146&T=2

[TABLE]
[ROW][C]Welch Two Sample t-test (unpaired)[/C][/ROW]
[ROW][C]Mean of Sample 1[/C][C]34.6234567901235[/C][/ROW]
[ROW][C]Mean of Sample 2[/C][C]11.0555555555556[/C][/ROW]
[ROW][C]t-stat[/C][C]75.0431503784073[/C][/ROW]
[ROW][C]df[/C][C]272.568507548139[/C][/ROW]
[ROW][C]p-value[/C][C]4.59917379267311e-184[/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][22.9496135364866,24.1861889326492][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193146&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193146&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 (unpaired)
Mean of Sample 134.6234567901235
Mean of Sample 211.0555555555556
t-stat75.0431503784073
df272.568507548139
p-value4.59917379267311e-184
H0 value0
Alternativetwo.sided
CI Level0.95
CI[22.9496135364866,24.1861889326492]






Wicoxon rank sum test with continuity correction (unpaired)
W26244
p-value6.61937762052077e-55
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic1
p-value0
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.222222222222222
p-value0.00067092525577972

\begin{tabular}{lllllllll}
\hline
Wicoxon rank sum test with continuity correction (unpaired) \tabularnewline
W & 26244 \tabularnewline
p-value & 6.61937762052077e-55 \tabularnewline
H0 value & 0 \tabularnewline
Alternative & two.sided \tabularnewline
Kolmogorov-Smirnov Test to compare Distributions of two Samples \tabularnewline
KS Statistic & 1 \tabularnewline
p-value & 0 \tabularnewline
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples \tabularnewline
KS Statistic & 0.222222222222222 \tabularnewline
p-value & 0.00067092525577972 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193146&T=3

[TABLE]
[ROW][C]Wicoxon rank sum test with continuity correction (unpaired)[/C][/ROW]
[ROW][C]W[/C][C]26244[/C][/ROW]
[ROW][C]p-value[/C][C]6.61937762052077e-55[/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]1[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.222222222222222[/C][/ROW]
[ROW][C]p-value[/C][C]0.00067092525577972[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193146&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193146&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 (unpaired)
W26244
p-value6.61937762052077e-55
H0 value0
Alternativetwo.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic1
p-value0
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic0.222222222222222
p-value0.00067092525577972


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 4 ; par3 = 0.95 ; par4 = two.sided ; par5 = unpaired ; par6 = 0 ;
Parameters (R input):
par1 = 1 ; par2 = 4 ; par3 = 0.95 ; par4 = two.sided ; par5 = unpaired ; par6 = 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')