R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

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(0.903
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+ ,2.217
+ ,3.567
+ ,1.061
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+ ,2.544
+ ,2.243
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+ ,1.255
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+ ,2.480
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+ ,2.483
+ ,2.176
+ ,3.629
+ ,1.190
+ ,0.602
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+ ,1.954
+ ,3.470
+ ,1.230
+ ,0.699
+ ,2.083
+ ,1.826
+ ,3.470
+ ,1.301
+ ,0.602
+ ,2.079
+ ,1.944
+ ,3.471
+ ,1.230
+ ,0.778
+ ,2.412
+ ,2.041
+ ,3.472
+ ,1.146
+ ,0.778
+ ,2.301
+ ,1.929
+ ,3.472
+ ,1.204
+ ,0.602
+ ,2.079
+ ,1.940
+ ,3.474
+ ,1.301
+ ,0.778
+ ,2.233
+ ,1.987
+ ,3.475
+ ,1.176
+ ,0.778
+ ,2.301
+ ,1.929
+ ,3.476
+ ,1.255
+ ,0.602
+ ,2.179
+ ,1.954
+ ,3.478
+ ,1.301
+ ,0.778
+ ,2.301
+ ,1.908
+ ,3.479
+ ,1.255
+ ,0.778
+ ,2.418
+ ,1.929
+ ,3.479
+ ,1.230
+ ,0.778
+ ,2.398
+ ,1.944
+ ,3.480
+ ,1.230
+ ,0.778
+ ,2.364
+ ,2.041
+ ,3.483
+ ,1.176
+ ,0.778
+ ,2.301
+ ,1.944
+ ,3.486
+ ,1.230
+ ,0.778
+ ,2.301
+ ,1.929
+ ,3.487
+ ,1.230
+ ,0.778
+ ,2.365
+ ,1.954
+ ,3.489
+ ,1.255
+ ,0.903
+ ,2.658
+ ,2.352
+ ,3.489
+ ,1.000
+ ,0.778
+ ,2.297
+ ,1.978
+ ,3.492
+ ,1.230
+ ,0.778
+ ,2.352
+ ,2.021
+ ,3.494
+ ,1.230
+ ,0.778
+ ,2.398
+ ,1.944
+ ,3.497
+ ,1.176
+ ,0.778
+ ,2.212
+ ,2.097
+ ,3.497
+ ,1.146
+ ,0.602
+ ,2.114
+ ,2.009
+ ,3.498
+ ,1.204
+ ,0.778
+ ,2.301
+ ,1.978
+ ,3.499
+ ,1.255
+ ,0.778
+ ,2.398
+ ,1.857
+ ,3.499
+ ,1.301
+ ,0.778
+ ,2.161
+ ,1.881
+ ,3.500
+ ,1.301
+ ,0.903
+ ,2.480
+ ,2.111
+ ,3.501
+ ,1.079
+ ,0.602
+ ,2.149
+ ,1.851
+ ,3.504
+ ,1.398
+ ,0.778
+ ,2.412
+ ,1.978
+ ,3.504
+ ,1.255
+ ,0.903
+ ,2.480
+ ,2.143
+ ,3.506
+ ,1.041
+ ,0.778
+ ,2.365
+ ,1.954
+ ,3.507
+ ,1.230
+ ,0.778
+ ,2.365
+ ,1.954
+ ,3.507
+ ,1.230
+ ,0.903
+ ,2.418
+ ,2.041
+ ,3.508
+ ,1.146
+ ,0.602
+ ,2.149
+ ,1.903
+ ,3.509
+ ,1.301
+ ,0.778
+ ,2.352
+ ,2.000
+ ,3.510
+ ,1.176
+ ,0.778
+ ,2.364
+ ,2.061
+ ,3.511
+ ,1.176
+ ,0.602
+ ,2.164
+ ,1.826
+ ,3.512
+ ,1.342
+ ,0.778
+ ,2.352
+ ,1.978
+ ,3.514
+ ,1.204
+ ,0.778
+ ,2.365
+ ,1.954
+ ,3.514
+ ,1.255
+ ,0.602
+ ,2.079
+ ,1.944
+ ,3.515
+ ,1.342
+ ,0.778
+ ,2.398
+ ,2.000
+ ,3.516
+ ,1.255
+ ,0.778
+ ,2.398
+ ,2.000
+ ,3.516
+ ,1.176
+ ,0.778
+ ,2.365
+ ,2.000
+ ,3.517
+ ,1.204
+ ,0.778
+ ,2.398
+ ,1.944
+ ,3.519
+ ,1.204
+ ,0.778
+ ,2.398
+ ,2.000
+ ,3.522
+ ,1.204
+ ,0.778
+ ,2.398
+ ,2.000
+ ,3.523
+ ,1.230
+ ,0.778
+ ,2.398
+ ,2.021
+ ,3.525
+ ,1.176
+ ,0.778
+ ,2.352
+ ,2.041
+ ,3.526
+ ,1.230
+ ,0.903
+ ,2.415
+ ,2.041
+ ,3.527
+ ,1.204
+ ,0.778
+ ,2.364
+ ,2.021
+ ,3.529
+ ,1.204
+ ,0.778
+ ,2.352
+ ,1.954
+ ,3.529
+ ,1.279
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.531
+ ,1.041
+ ,0.778
+ ,2.412
+ ,2.079
+ ,3.533
+ ,1.176
+ ,0.778
+ ,2.212
+ ,2.124
+ ,3.533
+ ,1.204
+ ,0.778
+ ,2.364
+ ,2.041
+ ,3.533
+ ,1.204
+ ,0.903
+ ,2.415
+ ,1.954
+ ,3.534
+ ,1.342
+ ,0.778
+ ,2.364
+ ,2.021
+ ,3.535
+ ,1.230
+ ,0.903
+ ,2.484
+ ,2.161
+ ,3.535
+ ,1.114
+ ,0.778
+ ,2.352
+ ,2.000
+ ,3.535
+ ,1.230
+ ,0.778
+ ,2.398
+ ,1.857
+ ,3.536
+ ,1.322
+ ,0.903
+ ,2.483
+ ,2.176
+ ,3.536
+ ,1.079
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.536
+ ,1.041
+ ,0.778
+ ,2.352
+ ,2.021
+ ,3.536
+ ,1.204
+ ,0.778
+ ,2.364
+ ,2.217
+ ,3.537
+ ,1.114
+ ,0.903
+ ,2.480
+ ,2.146
+ ,3.538
+ ,1.041
+ ,0.778
+ ,2.398
+ ,2.021
+ ,3.539
+ ,1.204
+ ,0.778
+ ,2.352
+ ,1.929
+ ,3.540
+ ,1.230
+ ,0.903
+ ,2.487
+ ,2.114
+ ,3.545
+ ,1.079
+ ,0.778
+ ,2.398
+ ,2.041
+ ,3.547
+ ,1.204
+ ,0.778
+ ,2.398
+ ,1.991
+ ,3.547
+ ,1.279
+ ,0.699
+ ,2.262
+ ,1.886
+ ,3.548
+ ,1.301
+ ,0.778
+ ,2.364
+ ,2.021
+ ,3.548
+ ,1.279
+ ,0.903
+ ,2.583
+ ,2.230
+ ,3.552
+ ,1.000
+ ,0.903
+ ,2.480
+ ,2.143
+ ,3.553
+ ,1.114
+ ,0.778
+ ,2.398
+ ,1.892
+ ,3.553
+ ,1.322
+ ,0.903
+ ,2.427
+ ,2.097
+ ,3.557
+ ,1.176
+ ,0.903
+ ,2.531
+ ,2.204
+ ,3.557
+ ,0.903
+ ,0.778
+ ,2.352
+ ,2.021
+ ,3.558
+ ,1.230
+ ,0.778
+ ,2.352
+ ,2.041
+ ,3.559
+ ,1.279
+ ,0.778
+ ,2.352
+ ,2.000
+ ,3.560
+ ,1.255
+ ,0.778
+ ,2.412
+ ,2.041
+ ,3.560
+ ,1.255
+ ,0.778
+ ,2.398
+ ,2.041
+ ,3.562
+ ,1.204
+ ,0.778
+ ,2.352
+ ,2.000
+ ,3.562
+ ,1.255
+ ,0.903
+ ,2.544
+ ,2.255
+ ,3.564
+ ,1.041
+ ,0.903
+ ,2.483
+ ,2.176
+ ,3.565
+ ,1.079
+ ,0.903
+ ,2.483
+ ,2.176
+ ,3.565
+ ,1.079
+ ,0.903
+ ,2.544
+ ,2.217
+ ,3.567
+ ,1.079
+ ,0.903
+ ,2.480
+ ,2.111
+ ,3.571
+ ,1.114
+ ,0.903
+ ,2.544
+ ,2.021
+ ,3.571
+ ,1.279
+ ,0.778
+ ,2.412
+ ,2.041
+ ,3.572
+ ,1.279
+ ,0.903
+ ,2.502
+ ,2.146
+ ,3.572
+ ,1.114
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.575
+ ,1.146
+ ,0.903
+ ,2.602
+ ,2.176
+ ,3.575
+ ,1.000
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.577
+ ,1.114
+ ,0.778
+ ,2.398
+ ,2.000
+ ,3.578
+ ,1.230
+ ,0.778
+ ,2.352
+ ,1.978
+ ,3.578
+ ,1.279
+ ,0.778
+ ,2.225
+ ,2.079
+ ,3.582
+ ,1.230
+ ,0.903
+ ,2.556
+ ,2.243
+ ,3.582
+ ,1.041
+ ,0.903
+ ,2.502
+ ,2.130
+ ,3.583
+ ,1.176
+ ,0.903
+ ,2.484
+ ,2.114
+ ,3.584
+ ,1.176
+ ,0.903
+ ,2.591
+ ,2.279
+ ,3.585
+ ,0.954
+ ,0.903
+ ,2.480
+ ,2.114
+ ,3.588
+ ,1.176
+ ,0.903
+ ,2.484
+ ,2.161
+ ,3.589
+ ,1.114
+ ,0.903
+ ,2.483
+ ,2.176
+ ,3.590
+ ,1.114
+ ,0.778
+ ,2.398
+ ,2.021
+ ,3.591
+ ,1.279
+ ,0.903
+ ,2.544
+ ,2.097
+ ,3.591
+ ,1.230
+ ,0.778
+ ,2.364
+ ,2.041
+ ,3.592
+ ,1.322
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.595
+ ,1.114
+ ,0.903
+ ,2.556
+ ,2.176
+ ,3.595
+ ,1.114
+ ,0.903
+ ,2.545
+ ,2.140
+ ,3.597
+ ,1.114
+ ,0.903
+ ,2.483
+ ,2.079
+ ,3.598
+ ,1.146
+ ,0.903
+ ,2.544
+ ,2.161
+ ,3.601
+ ,1.114
+ ,0.903
+ ,2.480
+ ,2.137
+ ,3.607
+ ,1.176
+ ,0.903
+ ,2.545
+ ,2.152
+ ,3.608
+ ,1.146
+ ,0.903
+ ,2.544
+ ,2.161
+ ,3.608
+ ,1.079
+ ,0.903
+ ,2.415
+ ,2.041
+ ,3.609
+ ,1.279
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.610
+ ,1.146
+ ,0.903
+ ,2.502
+ ,2.146
+ ,3.611
+ ,1.146
+ ,0.903
+ ,2.544
+ ,2.161
+ ,3.611
+ ,1.114
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.612
+ ,1.114
+ ,0.903
+ ,2.487
+ ,2.114
+ ,3.613
+ ,1.146
+ ,0.903
+ ,2.544
+ ,2.243
+ ,3.613
+ ,1.114
+ ,0.903
+ ,2.545
+ ,2.185
+ ,3.616
+ ,1.114
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.616
+ ,1.146
+ ,0.903
+ ,2.502
+ ,2.161
+ ,3.617
+ ,1.146
+ ,0.903
+ ,2.480
+ ,2.146
+ ,3.617
+ ,1.146
+ ,0.903
+ ,2.545
+ ,2.185
+ ,3.618
+ ,1.146
+ ,0.903
+ ,2.544
+ ,2.230
+ ,3.620
+ ,1.041
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.622
+ ,1.114
+ ,0.903
+ ,2.544
+ ,2.217
+ ,3.624
+ ,1.079
+ ,0.903
+ ,2.484
+ ,2.146
+ ,3.625
+ ,1.114
+ ,0.903
+ ,2.545
+ ,2.182
+ ,3.625
+ ,1.114
+ ,0.903
+ ,2.602
+ ,2.255
+ ,3.625
+ ,1.041
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.627
+ ,1.176
+ ,0.903
+ ,2.483
+ ,2.176
+ ,3.629
+ ,1.204
+ ,0.903
+ ,2.544
+ ,2.217
+ ,3.631
+ ,1.079
+ ,0.903
+ ,2.602
+ ,2.362
+ ,3.631
+ ,1.000
+ ,0.903
+ ,2.480
+ ,2.146
+ ,3.633
+ ,1.204
+ ,0.903
+ ,2.480
+ ,2.114
+ ,3.633
+ ,1.176
+ ,0.903
+ ,2.643
+ ,2.332
+ ,3.635
+ ,0.954
+ ,0.903
+ ,2.602
+ ,2.279
+ ,3.636
+ ,1.079
+ ,0.903
+ ,2.545
+ ,2.173
+ ,3.637
+ ,1.176
+ ,0.903
+ ,2.632
+ ,2.297
+ ,3.638
+ ,1.000
+ ,0.903
+ ,2.657
+ ,2.342
+ ,3.639
+ ,0.954
+ ,0.903
+ ,2.544
+ ,2.190
+ ,3.639
+ ,1.176
+ ,0.903
+ ,2.545
+ ,2.199
+ ,3.640
+ ,1.114
+ ,0.903
+ ,2.487
+ ,2.301
+ ,3.641
+ ,1.176
+ ,0.903
+ ,2.544
+ ,2.255
+ ,3.641
+ ,1.079
+ ,0.903
+ ,2.502
+ ,2.322
+ ,3.642
+ ,1.146
+ ,0.903
+ ,2.602
+ ,2.243
+ ,3.642
+ ,1.079
+ ,0.903
+ ,2.602
+ ,2.279
+ ,3.646
+ ,1.114
+ ,0.903
+ ,2.658
+ ,2.352
+ ,3.646
+ ,1.000
+ ,0.903
+ ,2.544
+ ,2.161
+ ,3.647
+ ,1.146
+ ,0.903
+ ,2.544
+ ,2.204
+ ,3.649
+ ,1.146
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.649
+ ,1.146
+ ,0.903
+ ,2.602
+ ,2.243
+ ,3.650
+ ,1.079
+ ,0.903
+ ,2.602
+ ,2.176
+ ,3.650
+ ,1.079
+ ,0.903
+ ,2.502
+ ,2.176
+ ,3.653
+ ,1.176
+ ,0.903
+ ,2.544
+ ,2.255
+ ,3.653
+ ,1.114
+ ,0.903
+ ,2.544
+ ,2.190
+ ,3.653
+ ,1.146
+ ,0.903
+ ,2.556
+ ,2.332
+ ,3.664
+ ,1.146
+ ,0.903
+ ,2.632
+ ,2.318
+ ,3.666
+ ,1.041
+ ,0.903
+ ,2.480
+ ,2.146
+ ,3.666
+ ,1.204
+ ,0.903
+ ,2.556
+ ,2.230
+ ,3.668
+ ,1.114
+ ,0.903
+ ,2.545
+ ,2.170
+ ,3.668
+ ,1.146
+ ,0.903
+ ,2.602
+ ,2.230
+ ,3.669
+ ,1.079
+ ,0.903
+ ,2.544
+ ,2.176
+ ,3.672
+ ,1.176
+ ,0.903
+ ,2.483
+ ,2.286
+ ,3.675
+ ,1.279
+ ,0.903
+ ,2.643
+ ,2.332
+ ,3.675
+ ,1.041
+ ,0.903
+ ,2.602
+ ,2.230
+ ,3.676
+ ,1.079
+ ,0.903
+ ,2.602
+ ,2.223
+ ,3.691
+ ,1.114
+ ,0.903
+ ,2.658
+ ,2.352
+ ,3.695
+ ,1.041
+ ,0.903
+ ,2.632
+ ,2.297
+ ,3.695
+ ,1.079
+ ,0.903
+ ,2.583
+ ,2.255
+ ,3.695
+ ,1.079
+ ,0.903
+ ,2.602
+ ,2.176
+ ,3.699
+ ,1.146
+ ,0.903
+ ,2.602
+ ,2.243
+ ,3.711
+ ,1.079)
+ ,dim=c(5
+ ,632)
+ ,dimnames=list(c('cylinders'
+ ,'engine.displacement'
+ ,'horsepower'
+ ,'weight'
+ ,'acceleration
')
+ ,1:632))
>  y <- array(NA,dim=c(5,632),dimnames=list(c('cylinders','engine.displacement','horsepower','weight','acceleration
'),1:632))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'kendall'
> main = 'Correlation Matrix'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Patrick Wessa
> #To cite this work: Patrick Wessa, (2010), Multivariate Correlation Matrix (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp#output/
> #Source of accompanying publication: 
> #Technical description: 
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$p.value,2)
+ txt <- format(c(r, 0.123456789), digits=digits)[1]
+ txt <- paste(prefix, txt, sep='')
+ if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
+ text(0.5, 0.5, txt, cex = cex)
+ }
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/www/html/rcomp/tmp/1kqdz1292957834.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
Warning messages:
1: In strwidth(labels, "user") : font width unknown for character 0xd
2: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
3: In text.default(x, y, txt, cex = cex, font = font) :
  font metrics unknown for character 0xd
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 5
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2g0ap1292957834.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'pair',1,TRUE)
> a<-table.element(a,'Pearson r',1,TRUE)
> a<-table.element(a,'Spearman rho',1,TRUE)
> a<-table.element(a,'Kendall tau',1,TRUE)
> a<-table.row.end(a)
> cor.test(y[1,],y[2,],method=par1)

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 25.6145, p-value < 2.2e-16
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.7965653 

> for (i in 1:(n-1))
+ {
+ for (j in (i+1):n)
+ {
+ a<-table.row.start(a)
+ dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
+ a<-table.element(a,dum,header=TRUE)
+ rp <- cor.test(y[i,],y[j,],method='pearson')
+ a<-table.element(a,round(rp$estimate,4))
+ rs <- cor.test(y[i,],y[j,],method='spearman')
+ a<-table.element(a,round(rs$estimate,4))
+ rk <- cor.test(y[i,],y[j,],method='kendall')
+ a<-table.element(a,round(rk$estimate,4))
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-value',header=T)
+ a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
+ a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
+ a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
+ a<-table.row.end(a)
+ }
+ }
Warning messages:
1: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
2: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
3: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
4: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
5: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
6: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
7: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
8: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
9: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
10: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3kird1292957834.tab") 
> 
> try(system("convert tmp/1kqdz1292957834.ps tmp/1kqdz1292957834.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.622   0.598   7.210