R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(0.0218
+ ,0.0266
+ ,0.0290
+ ,0.0324
+ ,0.0263
+ ,0.0305
+ ,0.0267
+ ,0.0298
+ ,0.0181
+ ,0.0201
+ ,0.0133
+ ,0.0174
+ ,0.0088
+ ,0.0118
+ ,0.0128
+ ,0.0140
+ ,0.0126
+ ,0.0128
+ ,0.0126
+ ,0.0134
+ ,0.0129
+ ,0.0111
+ ,0.0110
+ ,0.0094
+ ,0.0137
+ ,0.0121
+ ,0.0121
+ ,0.0092
+ ,0.0174
+ ,0.0134
+ ,0.0176
+ ,0.0135
+ ,0.0148
+ ,0.0147
+ ,0.0104
+ ,0.0111
+ ,0.0162
+ ,0.0160
+ ,0.0149
+ ,0.0147
+ ,0.0179
+ ,0.0164
+ ,0.0180
+ ,0.0167
+ ,0.0158
+ ,0.0156
+ ,0.0186
+ ,0.0172
+ ,0.0174
+ ,0.0160
+ ,0.0159
+ ,0.0156
+ ,0.0126
+ ,0.0131
+ ,0.0113
+ ,0.0110
+ ,0.0192
+ ,0.0158
+ ,0.0261
+ ,0.0188
+ ,0.0226
+ ,0.0161
+ ,0.0241
+ ,0.0173
+ ,0.0226
+ ,0.0163
+ ,0.0203
+ ,0.0143
+ ,0.0286
+ ,0.0209
+ ,0.0255
+ ,0.0189
+ ,0.0227
+ ,0.0172
+ ,0.0226
+ ,0.0178
+ ,0.0257
+ ,0.0200
+ ,0.0307
+ ,0.0252
+ ,0.0276
+ ,0.0209
+ ,0.0251
+ ,0.0213
+ ,0.0287
+ ,0.0232
+ ,0.0314
+ ,0.0242
+ ,0.0311
+ ,0.0241
+ ,0.0316
+ ,0.0225
+ ,0.0247
+ ,0.0172
+ ,0.0257
+ ,0.0204
+ ,0.0289
+ ,0.0233
+ ,0.0263
+ ,0.0201
+ ,0.0238
+ ,0.0196
+ ,0.0169
+ ,0.0133
+ ,0.0196
+ ,0.0173
+ ,0.0219
+ ,0.0187
+ ,0.0187
+ ,0.0168
+ ,0.0160
+ ,0.0158
+ ,0.0163
+ ,0.0169
+ ,0.0122
+ ,0.0178
+ ,0.0121
+ ,0.0191
+ ,0.0149
+ ,0.0185
+ ,0.0164
+ ,0.0186
+ ,0.0166
+ ,0.0204
+ ,0.0177
+ ,0.0208
+ ,0.0182
+ ,0.0194
+ ,0.0178
+ ,0.0191
+ ,0.0128
+ ,0.0134
+ ,0.0129
+ ,0.0130
+ ,0.0137
+ ,0.0138
+ ,0.0112
+ ,0.0124
+ ,0.0151
+ ,0.0130
+ ,0.0224
+ ,0.0179
+ ,0.0294
+ ,0.0224
+ ,0.0309
+ ,0.0264
+ ,0.0346
+ ,0.0279
+ ,0.0364
+ ,0.0308
+ ,0.0439
+ ,0.0388
+ ,0.0415
+ ,0.0370
+ ,0.0521
+ ,0.0461
+ ,0.0580
+ ,0.0507
+ ,0.0591
+ ,0.0522
+ ,0.0539
+ ,0.0493
+ ,0.0546
+ ,0.0515
+ ,0.0472
+ ,0.0480
+ ,0.0314
+ ,0.0390
+ ,0.0263
+ ,0.0354
+ ,0.0232
+ ,0.0334
+ ,0.0193
+ ,0.0280
+ ,0.0062
+ ,0.0160
+ ,0.0060
+ ,0.0153
+ ,-0.0037
+ ,0.0069
+ ,-0.0110
+ ,-0.0010
+ ,-0.0168
+ ,-0.0066
+ ,-0.0078
+ ,-0.0020
+ ,-0.0119
+ ,-0.0062
+ ,-0.0097
+ ,-0.0058
+ ,-0.0012
+ ,-0.0031
+ ,0.0026
+ ,-0.0025
+ ,0.0062
+ ,-0.0009
+ ,0.0070
+ ,0.0013
+ ,0.0166
+ ,0.0094
+ ,0.0180
+ ,0.0105
+ ,0.0227
+ ,0.0158
+ ,0.0246
+ ,0.0202
+ ,0.0257
+ ,0.0216
+ ,0.0232
+ ,0.0206
+ ,0.0291
+ ,0.0256
+ ,0.0301
+ ,0.0254
+ ,0.0286
+ ,0.0253
+ ,0.0310
+ ,0.0260
+ ,0.0322
+ ,0.0272
+ ,0.0339
+ ,0.0281
+ ,0.0352
+ ,0.0292
+ ,0.0341
+ ,0.0287
+ ,0.0335
+ ,0.0289
+ ,0.0367
+ ,0.0327
+ ,0.0375
+ ,0.0333
+ ,0.0360
+ ,0.0314
+ ,0.0355
+ ,0.0303
+ ,0.0357
+ ,0.0309
+ ,0.0385
+ ,0.0339)
+ ,dim=c(2
+ ,120)
+ ,dimnames=list(c('Inflatie'
+ ,'Gezondheidsindex')
+ ,1:120))
>  y <- array(NA,dim=c(2,120),dimnames=list(c('Inflatie','Gezondheidsindex'),1:120))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'grey'
> ylab = 'value'
> xlab = 'variables'
> main = 'Notched Boxplots'
> z <- as.data.frame(t(y))
> postscript(file="/var/wessaorg/rcomp/tmp/1tq5a1323889799.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
$stats
         [,1]     [,2]
[1,] -0.00780 -0.00310
[2,]  0.01425  0.01390
[3,]  0.02185  0.01865
[4,]  0.02925  0.02620
[5,]  0.04720  0.03900

$n
[1] 120 120

$conf
          [,1]       [,2]
[1,] 0.0196865 0.01687593
[2,] 0.0240135 0.02042407

$out
 [1]  0.0521  0.0580  0.0591  0.0539  0.0546 -0.0110 -0.0168 -0.0119 -0.0097
[10]  0.0461  0.0507  0.0522  0.0493  0.0515  0.0480 -0.0066 -0.0062 -0.0058

$group
 [1] 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2

$names
[1] "Inflatie"         "Gezondheidsindex"

> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
> a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ for (j in 1:5)
+ {
+ a<-table.element(a,r$stats[j,i])
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2ut5f1323889799.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Boxplot Notches',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',1,TRUE)
> a<-table.element(a,'lower bound',1,TRUE)
> a<-table.element(a,'median',1,TRUE)
> a<-table.element(a,'upper bound',1,TRUE)
> a<-table.row.end(a)
> for (i in 1:length(y[,1]))
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
+ a<-table.element(a,r$conf[1,i])
+ a<-table.element(a,r$stats[3,i])
+ a<-table.element(a,r$conf[2,i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/30j0q1323889799.tab") 
> 
> try(system("convert tmp/1tq5a1323889799.ps tmp/1tq5a1323889799.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.479   0.086   0.558