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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationWed, 25 Jan 2017 09:39:45 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jan/25/t1485333591c12pfzsrrghohhn.htm/, Retrieved Tue, 14 May 2024 08:39:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=305680, Retrieved Tue, 14 May 2024 08:39:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2017-01-25 08:39:45] [f20c721eaecf28dbff8d9b9768e8b0c7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14 13
19 16
17 17
17 NA
15 NA
20 16
15 NA
19 NA
15 NA
15 17
19 17
NA 15
20 16
18 14
15 16
14 17
20 NA
NA NA
16 NA
16 NA
16 16
10 NA
19 16
19 NA
16 NA
15 NA
18 16
17 15
19 16
17 16
NA 13
19 15
20 17
5 NA
19 13
16 17
15 NA
16 14
18 14
16 18
15 NA
17 17
NA 13
20 16
19 15
7 15
13 NA
16 15
16 13
NA NA
18 17
18 NA
16 NA
17 11
19 14
16 13
19 NA
13 17
16 16
13 NA
12 17
17 16
17 16
17 16
16 15
16 12
14 17
16 14
13 14
16 16
14 NA
20 NA
12 NA
13 NA
18 NA
14 15
19 16
18 14
14 15
18 17
19 NA
15 10
14 NA
17 17
19 NA
13 20
19 17
18 18
20 NA
15 17
15 14
15 NA
20 17
15 NA
19 17
18 NA
18 16
15 18
20 18
17 16
12 NA
18 NA
19 15
20 13
NA NA
17 NA
15 NA
16 NA
18 NA
18 16
14 NA
15 NA
12 NA
17 12
14 NA
18 16
17 16
17 NA
20 16
16 14
14 15
15 14
18 NA
20 15
17 NA
17 15
17 16
17 NA
15 NA
17 NA
18 11
17 NA
20 18
15 NA
16 11
15 NA
18 18
11 NA
15 15
18 19
20 17
19 NA
14 14
16 NA
15 13
17 17
18 14
20 19
17 14
18 NA
15 NA
16 16
11 16
15 15
18 12
17 NA
16 17
12 NA
19 NA
18 18
15 15
17 18
19 15
18 NA
19 NA
16 NA
16 16
16 NA
14 16

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=305680&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=305680&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=305680&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center






Tabulation of Results
ITHSUM x TVDC
1011121314151617181920
500000000000
700000100000
1000000000000
1100000010000
1200000001000
1300001001001
1400011312000
1510012312100
1601123252100
1701101274100
1801104042310
1900011443000
2000010143210

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
ITHSUM  x  TVDC \tabularnewline
  & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 \tabularnewline
5 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
7 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline
10 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
11 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
12 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
13 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 1 \tabularnewline
14 & 0 & 0 & 0 & 1 & 1 & 3 & 1 & 2 & 0 & 0 & 0 \tabularnewline
15 & 1 & 0 & 0 & 1 & 2 & 3 & 1 & 2 & 1 & 0 & 0 \tabularnewline
16 & 0 & 1 & 1 & 2 & 3 & 2 & 5 & 2 & 1 & 0 & 0 \tabularnewline
17 & 0 & 1 & 1 & 0 & 1 & 2 & 7 & 4 & 1 & 0 & 0 \tabularnewline
18 & 0 & 1 & 1 & 0 & 4 & 0 & 4 & 2 & 3 & 1 & 0 \tabularnewline
19 & 0 & 0 & 0 & 1 & 1 & 4 & 4 & 3 & 0 & 0 & 0 \tabularnewline
20 & 0 & 0 & 0 & 1 & 0 & 1 & 4 & 3 & 2 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=305680&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]ITHSUM  x  TVDC[/C][/ROW]
[ROW][C] [/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][/ROW]
[C]5[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]7[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]10[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]11[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]12[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]13[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[C]14[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]15[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]3[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]16[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]3[/C][C]2[/C][C]5[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]17[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]7[/C][C]4[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]18[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]4[/C][C]0[/C][C]4[/C][C]2[/C][C]3[/C][C]1[/C][C]0[/C][/ROW]
[C]19[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]4[/C][C]4[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]20[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]4[/C][C]3[/C][C]2[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=305680&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=305680&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:

Tabulation of Results
ITHSUM x TVDC
1011121314151617181920
500000000000
700000100000
1000000000000
1100000010000
1200000001000
1300001001001
1400011312000
1510012312100
1601123252100
1701101274100
1801104042310
1900011443000
2000010143210






Tabulation of Expected Results
ITHSUM x TVDC
1011121314151617181920
500000000000
70.010.030.030.060.130.160.270.20.080.020.01
1000000000000
110.010.030.030.060.130.160.270.20.080.020.01
120.010.030.030.060.130.160.270.20.080.020.01
130.030.090.090.180.390.480.810.60.240.060.03
140.080.240.240.481.041.282.161.60.640.160.08
150.110.330.330.661.431.762.972.20.880.220.11
160.170.510.511.022.212.724.593.41.360.340.17
170.170.510.511.022.212.724.593.41.360.340.17
180.160.480.480.962.082.564.323.21.280.320.16
190.130.390.390.781.692.083.512.61.040.260.13
200.120.360.360.721.561.923.242.40.960.240.12

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
ITHSUM  x  TVDC \tabularnewline
  & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 \tabularnewline
5 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
7 & 0.01 & 0.03 & 0.03 & 0.06 & 0.13 & 0.16 & 0.27 & 0.2 & 0.08 & 0.02 & 0.01 \tabularnewline
10 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
11 & 0.01 & 0.03 & 0.03 & 0.06 & 0.13 & 0.16 & 0.27 & 0.2 & 0.08 & 0.02 & 0.01 \tabularnewline
12 & 0.01 & 0.03 & 0.03 & 0.06 & 0.13 & 0.16 & 0.27 & 0.2 & 0.08 & 0.02 & 0.01 \tabularnewline
13 & 0.03 & 0.09 & 0.09 & 0.18 & 0.39 & 0.48 & 0.81 & 0.6 & 0.24 & 0.06 & 0.03 \tabularnewline
14 & 0.08 & 0.24 & 0.24 & 0.48 & 1.04 & 1.28 & 2.16 & 1.6 & 0.64 & 0.16 & 0.08 \tabularnewline
15 & 0.11 & 0.33 & 0.33 & 0.66 & 1.43 & 1.76 & 2.97 & 2.2 & 0.88 & 0.22 & 0.11 \tabularnewline
16 & 0.17 & 0.51 & 0.51 & 1.02 & 2.21 & 2.72 & 4.59 & 3.4 & 1.36 & 0.34 & 0.17 \tabularnewline
17 & 0.17 & 0.51 & 0.51 & 1.02 & 2.21 & 2.72 & 4.59 & 3.4 & 1.36 & 0.34 & 0.17 \tabularnewline
18 & 0.16 & 0.48 & 0.48 & 0.96 & 2.08 & 2.56 & 4.32 & 3.2 & 1.28 & 0.32 & 0.16 \tabularnewline
19 & 0.13 & 0.39 & 0.39 & 0.78 & 1.69 & 2.08 & 3.51 & 2.6 & 1.04 & 0.26 & 0.13 \tabularnewline
20 & 0.12 & 0.36 & 0.36 & 0.72 & 1.56 & 1.92 & 3.24 & 2.4 & 0.96 & 0.24 & 0.12 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=305680&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]ITHSUM  x  TVDC[/C][/ROW]
[ROW][C] [/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][/ROW]
[C]5[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]7[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.06[/C][C]0.13[/C][C]0.16[/C][C]0.27[/C][C]0.2[/C][C]0.08[/C][C]0.02[/C][C]0.01[/C][/ROW]
[C]10[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]11[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.06[/C][C]0.13[/C][C]0.16[/C][C]0.27[/C][C]0.2[/C][C]0.08[/C][C]0.02[/C][C]0.01[/C][/ROW]
[C]12[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.06[/C][C]0.13[/C][C]0.16[/C][C]0.27[/C][C]0.2[/C][C]0.08[/C][C]0.02[/C][C]0.01[/C][/ROW]
[C]13[/C][C]0.03[/C][C]0.09[/C][C]0.09[/C][C]0.18[/C][C]0.39[/C][C]0.48[/C][C]0.81[/C][C]0.6[/C][C]0.24[/C][C]0.06[/C][C]0.03[/C][/ROW]
[C]14[/C][C]0.08[/C][C]0.24[/C][C]0.24[/C][C]0.48[/C][C]1.04[/C][C]1.28[/C][C]2.16[/C][C]1.6[/C][C]0.64[/C][C]0.16[/C][C]0.08[/C][/ROW]
[C]15[/C][C]0.11[/C][C]0.33[/C][C]0.33[/C][C]0.66[/C][C]1.43[/C][C]1.76[/C][C]2.97[/C][C]2.2[/C][C]0.88[/C][C]0.22[/C][C]0.11[/C][/ROW]
[C]16[/C][C]0.17[/C][C]0.51[/C][C]0.51[/C][C]1.02[/C][C]2.21[/C][C]2.72[/C][C]4.59[/C][C]3.4[/C][C]1.36[/C][C]0.34[/C][C]0.17[/C][/ROW]
[C]17[/C][C]0.17[/C][C]0.51[/C][C]0.51[/C][C]1.02[/C][C]2.21[/C][C]2.72[/C][C]4.59[/C][C]3.4[/C][C]1.36[/C][C]0.34[/C][C]0.17[/C][/ROW]
[C]18[/C][C]0.16[/C][C]0.48[/C][C]0.48[/C][C]0.96[/C][C]2.08[/C][C]2.56[/C][C]4.32[/C][C]3.2[/C][C]1.28[/C][C]0.32[/C][C]0.16[/C][/ROW]
[C]19[/C][C]0.13[/C][C]0.39[/C][C]0.39[/C][C]0.78[/C][C]1.69[/C][C]2.08[/C][C]3.51[/C][C]2.6[/C][C]1.04[/C][C]0.26[/C][C]0.13[/C][/ROW]
[C]20[/C][C]0.12[/C][C]0.36[/C][C]0.36[/C][C]0.72[/C][C]1.56[/C][C]1.92[/C][C]3.24[/C][C]2.4[/C][C]0.96[/C][C]0.24[/C][C]0.12[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=305680&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=305680&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:

Tabulation of Expected Results
ITHSUM x TVDC
1011121314151617181920
500000000000
70.010.030.030.060.130.160.270.20.080.020.01
1000000000000
110.010.030.030.060.130.160.270.20.080.020.01
120.010.030.030.060.130.160.270.20.080.020.01
130.030.090.090.180.390.480.810.60.240.060.03
140.080.240.240.481.041.282.161.60.640.160.08
150.110.330.330.661.431.762.972.20.880.220.11
160.170.510.511.022.212.724.593.41.360.340.17
170.170.510.511.022.212.724.593.41.360.340.17
180.160.480.480.962.082.564.323.21.280.320.16
190.130.390.390.781.692.083.512.61.040.260.13
200.120.360.360.721.561.923.242.40.960.240.12






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square StatisticNaN
Degrees of Freedom120
P valueNaN

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & NaN \tabularnewline
Degrees of Freedom & 120 \tabularnewline
P value & NaN \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=305680&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]NaN[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]120[/C][/ROW]
[ROW][C]P value[/C][C]NaN[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=305680&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=305680&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:

Statistical Results
Pearson's Chi-squared test
Pearson Chi Square StatisticNaN
Degrees of Freedom120
P valueNaN


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
R code (references can be found in the software module):
library(vcd)
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi-Squared by Simulation') simulate.p.value=TRUE
x <- t(x)
(z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
(table1 <- table(z[,cat1],z[,cat2]))
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
bitmap(file='pic1.png')
assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, table1[nr, nc], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
(cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )
if (par3 == 'McNemar Chi-Squared') {
(cst <- mcnemar.test(table1))
}
if (par3=='Fisher Exact Test') {
(cst <- fisher.test(table1))
}
if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Statistical Results',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, cst$method, 2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
if (par3=='Fisher Exact Test') {
if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
} else {
a<-table.element(a, '--', 1,FALSE)
}
} else {
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
}
a<-table.row.end(a)
if(!simulate.p.value){
if(par3!='Fisher Exact Test') {
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$parameter, 1,FALSE)
a<-table.row.end(a)
}
}
a<-table.row.start(a)
a<-table.element(a, 'P value', 1, TRUE)
a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')