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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 computationTue, 16 Dec 2014 08:05:48 +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/2014/Dec/16/t1418717900v7xzchs47mtz84o.htm/, Retrieved Thu, 16 May 2024 07:51:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269159, Retrieved Thu, 16 May 2024 07:51:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

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] [] [2014-12-16 08:05:48] [00948489e79095d843a5e7d0a51f3696] [Current]
- RMPD    [Central Tendency] [Central Tendency:...] [2014-12-17 20:41:08] [81e89d8e2b2b51f4fc1cbe14a101b134]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0 26
0 51
1 57
0 37
1 67
1 43
1 52
0 52
1 43
1 84
1 67
1 49
1 70
1 52
0 58
0 68
0 62
1 43
0 56
1 56
0 74
1 65
1 63
0 58
1 57
1 63
1 53
1 57
0 51
1 64
0 53
0 29
0 54
1 51
1 58
1 43
1 51
1 53
0 54
1 56
1 61
0 47
1 39
1 48
1 50
1 35
1 30
0 68
1 49
1 61
0 67
1 47
1 56
1 50
1 43
1 67
1 62
1 57
0 41
1 54
0 45
1 48
1 61
0 56
0 41
1 43
0 53
1 44
0 66
1 58
1 46
0 37
0 51
0 51
0 56
1 66
1 45
0 37
1 59
0 42
1 38
0 66
0 34
1 53
0 49
0 55
0 49
1 59
0 40
1 58
1 60
0 63
0 56
0 54
1 52
1 34
1 69
0 32
1 48
0 67
1 58
1 57
1 42
1 64
1 58
0 66
1 26
1 61
1 52
0 51
0 55
0 50
0 60
0 56
0 63
1 61
1 52
1 16
1 46
1 56
0 52
1 55
1 50
0 59
1 60
0 52
0 44
1 67
1 52
1 55
1 37
1 54
1 72
1 51
1 48
0 60
1 50
1 63
1 33
1 67
1 46
1 54
0 59
1 61
1 33
1 47
1 69
1 52
0 55
0 55
0 41
1 73
0 51
0 52
0 50
1 51
0 60
1 56
1 56
0 29
1 66
1 66
1 73
0 55
0 64
0 40
0 46
1 58
0 43
1 61
0 51
1 50
0 52
1 54
0 66
0 61
1 80
0 51
1 56
1 56
1 56
1 53
1 47
0 25
1 47
0 46
0 50
0 39
1 51
0 58
1 35
0 58
0 60
0 62
0 63
1 53
1 46
1 67
1 59
0 64
0 38
1 50
0 48
0 48
0 47
0 66
1 47
1 63
0 58
0 44
1 51
0 43
1 55
1 38
1 56
0 45
1 50
1 54
1 57
0 60
0 55
0 56
1 49
1 37
0 43
1 59
1 46
0 51
0 58
0 64
1 53
1 48
0 51
0 47
0 59
1 62
1 62
0 51
0 64
0 52
1 67
1 50
1 54
1 58
0 56
1 63
1 31
1 65
0 71
0 50
1 57
0 47
1 54
1 47
1 57
0 43
1 41
0 63
1 63
1 56
0 51
1 50
0 22
1 41
0 59
1 56
0 66
0 53
1 42
1 52
0 54
1 44
1 62
0 53
1 50
0 36
0 76
1 66
1 62
0 59
1 47
0 55
0 58
1 60
0 44
0 57
1 45

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=269159&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=269159&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269159&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






Tabulation of Results
gender x AMS.I
1622252629303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374768084
0011120010101311231432242241264477175512440622001001100
11001011021202210226225753106867312874375622470210120011

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
gender  x  AMS.I \tabularnewline
  & 16 & 22 & 25 & 26 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 41 & 42 & 43 & 44 & 45 & 46 & 47 & 48 & 49 & 50 & 51 & 52 & 53 & 54 & 55 & 56 & 57 & 58 & 59 & 60 & 61 & 62 & 63 & 64 & 65 & 66 & 67 & 68 & 69 & 70 & 71 & 72 & 73 & 74 & 76 & 80 & 84 \tabularnewline
0 & 0 & 1 & 1 & 1 & 2 & 0 & 0 & 1 & 0 & 1 & 0 & 1 & 3 & 1 & 1 & 2 & 3 & 1 & 4 & 3 & 2 & 2 & 4 & 2 & 2 & 4 & 12 & 6 & 4 & 4 & 7 & 7 & 1 & 7 & 5 & 5 & 1 & 2 & 4 & 4 & 0 & 6 & 2 & 2 & 0 & 0 & 1 & 0 & 0 & 1 & 1 & 0 & 0 \tabularnewline
1 & 1 & 0 & 0 & 1 & 0 & 1 & 1 & 0 & 2 & 1 & 2 & 0 & 2 & 2 & 1 & 0 & 2 & 2 & 6 & 2 & 2 & 5 & 7 & 5 & 3 & 10 & 6 & 8 & 6 & 7 & 3 & 12 & 8 & 7 & 4 & 3 & 7 & 5 & 6 & 2 & 2 & 4 & 7 & 0 & 2 & 1 & 0 & 1 & 2 & 0 & 0 & 1 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269159&T=1

[TABLE]
[ROW]Tabulation of Results[/C][/ROW]
[ROW]gender  x  AMS.I[/C][/ROW]
[ROW][C] [/C][C]16[/C][C]22[/C][C]25[/C][C]26[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][C]40[/C][C]41[/C][C]42[/C][C]43[/C][C]44[/C][C]45[/C][C]46[/C][C]47[/C][C]48[/C][C]49[/C][C]50[/C][C]51[/C][C]52[/C][C]53[/C][C]54[/C][C]55[/C][C]56[/C][C]57[/C][C]58[/C][C]59[/C][C]60[/C][C]61[/C][C]62[/C][C]63[/C][C]64[/C][C]65[/C][C]66[/C][C]67[/C][C]68[/C][C]69[/C][C]70[/C][C]71[/C][C]72[/C][C]73[/C][C]74[/C][C]76[/C][C]80[/C][C]84[/C][/ROW]
[C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]1[/C][C]2[/C][C]3[/C][C]1[/C][C]4[/C][C]3[/C][C]2[/C][C]2[/C][C]4[/C][C]2[/C][C]2[/C][C]4[/C][C]12[/C][C]6[/C][C]4[/C][C]4[/C][C]7[/C][C]7[/C][C]1[/C][C]7[/C][C]5[/C][C]5[/C][C]1[/C][C]2[/C][C]4[/C][C]4[/C][C]0[/C][C]6[/C][C]2[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/C][C]1[/C][C]2[/C][C]0[/C][C]2[/C][C]2[/C][C]1[/C][C]0[/C][C]2[/C][C]2[/C][C]6[/C][C]2[/C][C]2[/C][C]5[/C][C]7[/C][C]5[/C][C]3[/C][C]10[/C][C]6[/C][C]8[/C][C]6[/C][C]7[/C][C]3[/C][C]12[/C][C]8[/C][C]7[/C][C]4[/C][C]3[/C][C]7[/C][C]5[/C][C]6[/C][C]2[/C][C]2[/C][C]4[/C][C]7[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269159&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269159&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
gender x AMS.I
1622252629303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374768084
0011120010101311231432242241264477175512440622001001100
11001011021202210226225753106867312874375622470210120011






Tabulation of Expected Results
gender x AMS.I
1622252629303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374768084
00.430.430.430.860.860.430.430.430.860.860.860.432.161.30.860.862.161.34.322.161.733.024.753.022.166.057.786.054.324.754.328.213.896.053.893.463.463.024.322.590.864.323.890.860.860.430.430.430.860.430.430.430.43
10.570.570.571.141.140.570.570.571.141.141.140.572.841.71.141.142.841.75.682.842.273.986.253.982.847.9510.227.955.686.255.6810.795.117.955.114.544.543.985.683.411.145.685.111.141.140.570.570.571.140.570.570.570.57

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
gender  x  AMS.I \tabularnewline
  & 16 & 22 & 25 & 26 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 41 & 42 & 43 & 44 & 45 & 46 & 47 & 48 & 49 & 50 & 51 & 52 & 53 & 54 & 55 & 56 & 57 & 58 & 59 & 60 & 61 & 62 & 63 & 64 & 65 & 66 & 67 & 68 & 69 & 70 & 71 & 72 & 73 & 74 & 76 & 80 & 84 \tabularnewline
0 & 0.43 & 0.43 & 0.43 & 0.86 & 0.86 & 0.43 & 0.43 & 0.43 & 0.86 & 0.86 & 0.86 & 0.43 & 2.16 & 1.3 & 0.86 & 0.86 & 2.16 & 1.3 & 4.32 & 2.16 & 1.73 & 3.02 & 4.75 & 3.02 & 2.16 & 6.05 & 7.78 & 6.05 & 4.32 & 4.75 & 4.32 & 8.21 & 3.89 & 6.05 & 3.89 & 3.46 & 3.46 & 3.02 & 4.32 & 2.59 & 0.86 & 4.32 & 3.89 & 0.86 & 0.86 & 0.43 & 0.43 & 0.43 & 0.86 & 0.43 & 0.43 & 0.43 & 0.43 \tabularnewline
1 & 0.57 & 0.57 & 0.57 & 1.14 & 1.14 & 0.57 & 0.57 & 0.57 & 1.14 & 1.14 & 1.14 & 0.57 & 2.84 & 1.7 & 1.14 & 1.14 & 2.84 & 1.7 & 5.68 & 2.84 & 2.27 & 3.98 & 6.25 & 3.98 & 2.84 & 7.95 & 10.22 & 7.95 & 5.68 & 6.25 & 5.68 & 10.79 & 5.11 & 7.95 & 5.11 & 4.54 & 4.54 & 3.98 & 5.68 & 3.41 & 1.14 & 5.68 & 5.11 & 1.14 & 1.14 & 0.57 & 0.57 & 0.57 & 1.14 & 0.57 & 0.57 & 0.57 & 0.57 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269159&T=2

[TABLE]
[ROW]Tabulation of Expected Results[/C][/ROW]
[ROW]gender  x  AMS.I[/C][/ROW]
[ROW][C] [/C][C]16[/C][C]22[/C][C]25[/C][C]26[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][C]40[/C][C]41[/C][C]42[/C][C]43[/C][C]44[/C][C]45[/C][C]46[/C][C]47[/C][C]48[/C][C]49[/C][C]50[/C][C]51[/C][C]52[/C][C]53[/C][C]54[/C][C]55[/C][C]56[/C][C]57[/C][C]58[/C][C]59[/C][C]60[/C][C]61[/C][C]62[/C][C]63[/C][C]64[/C][C]65[/C][C]66[/C][C]67[/C][C]68[/C][C]69[/C][C]70[/C][C]71[/C][C]72[/C][C]73[/C][C]74[/C][C]76[/C][C]80[/C][C]84[/C][/ROW]
[C]0[/C][C]0.43[/C][C]0.43[/C][C]0.43[/C][C]0.86[/C][C]0.86[/C][C]0.43[/C][C]0.43[/C][C]0.43[/C][C]0.86[/C][C]0.86[/C][C]0.86[/C][C]0.43[/C][C]2.16[/C][C]1.3[/C][C]0.86[/C][C]0.86[/C][C]2.16[/C][C]1.3[/C][C]4.32[/C][C]2.16[/C][C]1.73[/C][C]3.02[/C][C]4.75[/C][C]3.02[/C][C]2.16[/C][C]6.05[/C][C]7.78[/C][C]6.05[/C][C]4.32[/C][C]4.75[/C][C]4.32[/C][C]8.21[/C][C]3.89[/C][C]6.05[/C][C]3.89[/C][C]3.46[/C][C]3.46[/C][C]3.02[/C][C]4.32[/C][C]2.59[/C][C]0.86[/C][C]4.32[/C][C]3.89[/C][C]0.86[/C][C]0.86[/C][C]0.43[/C][C]0.43[/C][C]0.43[/C][C]0.86[/C][C]0.43[/C][C]0.43[/C][C]0.43[/C][C]0.43[/C][/ROW]
[C]1[/C][C]0.57[/C][C]0.57[/C][C]0.57[/C][C]1.14[/C][C]1.14[/C][C]0.57[/C][C]0.57[/C][C]0.57[/C][C]1.14[/C][C]1.14[/C][C]1.14[/C][C]0.57[/C][C]2.84[/C][C]1.7[/C][C]1.14[/C][C]1.14[/C][C]2.84[/C][C]1.7[/C][C]5.68[/C][C]2.84[/C][C]2.27[/C][C]3.98[/C][C]6.25[/C][C]3.98[/C][C]2.84[/C][C]7.95[/C][C]10.22[/C][C]7.95[/C][C]5.68[/C][C]6.25[/C][C]5.68[/C][C]10.79[/C][C]5.11[/C][C]7.95[/C][C]5.11[/C][C]4.54[/C][C]4.54[/C][C]3.98[/C][C]5.68[/C][C]3.41[/C][C]1.14[/C][C]5.68[/C][C]5.11[/C][C]1.14[/C][C]1.14[/C][C]0.57[/C][C]0.57[/C][C]0.57[/C][C]1.14[/C][C]0.57[/C][C]0.57[/C][C]0.57[/C][C]0.57[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269159&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269159&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
gender x AMS.I
1622252629303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374768084
00.430.430.430.860.860.430.430.430.860.860.860.432.161.30.860.862.161.34.322.161.733.024.753.022.166.057.786.054.324.754.328.213.896.053.893.463.463.024.322.590.864.323.890.860.860.430.430.430.860.430.430.430.43
10.570.570.571.141.140.570.570.571.141.141.140.572.841.71.141.142.841.75.682.842.273.986.253.982.847.9510.227.955.686.255.6810.795.117.955.114.544.543.985.683.411.145.685.111.141.140.570.570.571.140.570.570.570.57






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic56.07
Degrees of Freedom52
P value0.32

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 56.07 \tabularnewline
Degrees of Freedom & 52 \tabularnewline
P value & 0.32 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269159&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]56.07[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]52[/C][/ROW]
[ROW][C]P value[/C][C]0.32[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269159&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269159&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 Statistic56.07
Degrees of Freedom52
P value0.32


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
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')