R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(100.00,102.83,109.50,115.91,107.94,110.86,118.89,123.38,113.33,116.38,122.04,125.47,115.62,117.91,122.40,125.05,114.18,114.74,120.63,123.68,112.84,115.64,122.32,124.59,116.33,117.45,125.64,128.38,119.87,121.22,128.98,131.35,121.35,123.72,131.06,134.55,125.93,128.90,136.19,140.34,130.48,134.68,141.05,145.44,136.21,139.85,147.13,151.44,143.62,148.55,153.54,159.79,152.55,155.84,160.38,164.22,156.40,160.05,165.60,171.15,161.90,167.21,171.34,176.83,166.27,172.30,176.71,182.99,172.07,178.17,182.20,188.49,176.88,182.13,185.32,192.86,180.27,184.92,187.82,194.94,184.36,188.80,193.42,199.76,188.78,191.49,194.87,198.28,183.24,204.87)
> par1 = '4'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 90
> (np <- floor(n / par1))
[1] 22
> arr <- array(NA,dim=c(par1,np+1))
> ari <- array(0,dim=par1)
> j <- 0
> for (i in 1:n)
+ {
+ j = j + 1
+ ari[j] = ari[j] + 1
+ arr[j,ari[j]] <- x[i]
+ if (j == par1) j = 0
+ }
> ari
[1] 23 23 22 22
> arr
       [,1]   [,2]   [,3]   [,4]   [,5]   [,6]   [,7]   [,8]   [,9]  [,10]
[1,] 100.00 107.94 113.33 115.62 114.18 112.84 116.33 119.87 121.35 125.93
[2,] 102.83 110.86 116.38 117.91 114.74 115.64 117.45 121.22 123.72 128.90
[3,] 109.50 118.89 122.04 122.40 120.63 122.32 125.64 128.98 131.06 136.19
[4,] 115.91 123.38 125.47 125.05 123.68 124.59 128.38 131.35 134.55 140.34
      [,11]  [,12]  [,13]  [,14]  [,15]  [,16]  [,17]  [,18]  [,19]  [,20]
[1,] 130.48 136.21 143.62 152.55 156.40 161.90 166.27 172.07 176.88 180.27
[2,] 134.68 139.85 148.55 155.84 160.05 167.21 172.30 178.17 182.13 184.92
[3,] 141.05 147.13 153.54 160.38 165.60 171.34 176.71 182.20 185.32 187.82
[4,] 145.44 151.44 159.79 164.22 171.15 176.83 182.99 188.49 192.86 194.94
      [,21]  [,22]  [,23]
[1,] 184.36 188.78 183.24
[2,] 188.80 191.49 204.87
[3,] 193.42 194.87     NA
[4,] 199.76 198.28     NA
> arr.sd <- array(NA,dim=par1)
> arr.range <- array(NA,dim=par1)
> arr.iqr <- array(NA,dim=par1)
> for (j in 1:par1)
+ {
+ arr.sd[j] <- sqrt(var(arr[j,],na.rm=TRUE))
+ arr.range[j] <- max(arr[j,],na.rm=TRUE) - min(arr[j,],na.rm=TRUE)
+ arr.iqr[j] <- quantile(arr[j,],0.75,na.rm=TRUE) - quantile(arr[j,],0.25,na.rm=TRUE)
+ }
> overall.sd <- sqrt(var(x))
> overall.range <- max(x) - min(x)
> overall.iqr <- quantile(x,0.75) - quantile(x,0.25)
> postscript(file="/var/www/rcomp/tmp/1rr661257976001.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.sd,type='b',ylab='S.D.',main='Standard Deviation Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.sd,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2mz3z1257976001.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.range,type='b',ylab='range',main='Range Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.range,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3x0621257976001.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.iqr,type='b',ylab='IQR',main='Interquartile Range Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.iqr,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/49uu21257976001.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(t(arr))
> names(z) <- c(1:par1)
> (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
$stats
        [,1]    [,2]   [,3]   [,4]
[1,] 100.000 102.830 109.50 115.91
[2,] 115.975 117.680 122.40 125.47
[3,] 136.210 139.850 144.09 148.44
[4,] 169.170 175.235 176.71 182.99
[5,] 188.780 204.870 194.87 199.76

$n
[1] 23 23 22 22

$conf
         [,1]     [,2]     [,3]     [,4]
[1,] 118.6848 120.8883 125.7953 129.0640
[2,] 153.7352 158.8117 162.3847 167.8160

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" "2" "3" "4"

> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/5k0sv1257976001.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(arr)
> names(z) <- c(1:np)
> (boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
$stats
        [,1]    [,2]    [,3]    [,4]    [,5]    [,6]    [,7]    [,8]    [,9]
[1,] 100.000 107.940 113.330 115.620 114.180 112.840 116.330 119.870 121.350
[2,] 101.415 109.400 114.855 116.765 114.460 114.240 116.890 120.545 122.535
[3,] 106.165 114.875 119.210 120.155 117.685 118.980 121.545 125.100 127.390
[4,] 112.705 121.135 123.755 123.725 122.155 123.455 127.010 130.165 132.805
[5,] 115.910 123.380 125.470 125.050 123.680 124.590 128.380 131.350 134.550
       [,10]   [,11]   [,12]   [,13]   [,14]   [,15]   [,16]   [,17]   [,18]
[1,] 125.930 130.480 136.210 143.620 152.550 156.400 161.900 166.270 172.070
[2,] 127.415 132.580 138.030 146.085 154.195 158.225 164.555 169.285 175.120
[3,] 132.545 137.865 143.490 151.045 158.110 162.825 169.275 174.505 180.185
[4,] 138.265 143.245 149.285 156.665 162.300 168.375 174.085 179.850 185.345
[5,] 140.340 145.440 151.440 159.790 164.220 171.150 176.830 182.990 188.490
       [,19]   [,20]  [,21]   [,22]   [,23]
[1,] 176.880 180.270 184.36 188.780 183.240
[2,] 179.505 182.595 186.58 190.135 183.240
[3,] 183.725 186.370 191.11 193.180 194.055
[4,] 189.090 191.380 196.59 196.575 204.870
[5,] 192.860 194.940 199.76 198.280 204.870

$n
 [1] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2

$conf
         [,1]     [,2]    [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,]  97.2459 105.6044 112.179 114.6566 111.6060 111.7001 113.5502 117.5002
[2,] 115.0841 124.1456 126.241 125.6534 123.7640 126.2598 129.5398 132.6998
         [,9]    [,10]    [,11]    [,12]    [,13]    [,14]    [,15]    [,16]
[1,] 119.2767 123.9735 129.4397 134.5986 142.6868 151.7071 154.8065 161.7463
[2,] 135.5033 141.1165 146.2904 152.3815 159.4032 164.5130 170.8435 176.8037
        [,17]    [,18]    [,19]    [,20]    [,21]    [,22]    [,23]
[1,] 166.1586 172.1072 176.1529 179.4299 183.2021 188.0924 169.8893
[2,] 182.8513 188.2628 191.2971 193.3101 199.0179 198.2676 218.2207

$out
numeric(0)

$group
numeric(0)

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12" "13" "14" "15"
[16] "16" "17" "18" "19" "20" "21" "22" NA  

Warning message:
In bxp(list(stats = c(100, 101.415, 106.165, 112.705, 115.91, 107.94,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/67eob1257976001.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(cbind(arr.sd,arr.range,arr.iqr))
> names(z) <- list('S.D.','Range','IQR')
> (boxplot(z,notch=TRUE,col='grey',ylab='Overall Variability',main='Notched Box Plots'))
$stats
         [,1]    [,2]     [,3]
[1,] 28.11437  83.850 52.15750
[2,] 28.60803  84.610 52.67625
[3,] 29.13135  87.075 54.22375
[4,] 30.28140  95.410 56.40375
[5,] 31.40180 102.040 57.55500

$n
[1] 4 4 4

$conf
         [,1]   [,2]     [,3]
[1,] 27.80938 78.543 51.27903
[2,] 30.45331 95.607 57.16848

$out
numeric(0)

$group
numeric(0)

$names
[1] "S.D."  "Range" "IQR"  

Warning message:
In bxp(list(stats = c(28.1143709650759, 28.6080287441674, 29.1313469394864,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1rr661257976001.ps tmp/1rr661257976001.png")
> system("convert tmp/2mz3z1257976001.ps tmp/2mz3z1257976001.png")
> system("convert tmp/3x0621257976001.ps tmp/3x0621257976001.png")
> system("convert tmp/49uu21257976001.ps tmp/49uu21257976001.png")
> system("convert tmp/5k0sv1257976001.ps tmp/5k0sv1257976001.png")
> system("convert tmp/67eob1257976001.ps tmp/67eob1257976001.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.370   1.250   2.482