R version 2.5.1 (2007-06-27)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(97.3,101,113.2,101,105.7,113.9,86.4,96.5,103.3,114.9,105.8,94.2,98.4,99.4,108.8,112.6,104.4,112.2,81.1,97.1,112.6,113.8,107.8,103.2,103.3,101.2,107.7,110.4,101.9,115.9,89.9,88.6,117.2,123.9,100,103.6,94.1,98.7,119.5,112.7,104.4,124.7,89.1,97,121.6,118.8,114,111.5,97.2,102.5,113.4,109.8,104.9,126.1,80,96.8,117.2,112.3,117.3,111.1,102.2,104.3,122.9,107.6,121.3,131.5,89,104.4,128.9,135.9,133.3,121.3,120.5,120.4,137.9,126.1,133.2,146.6,103.4,117.2)
> par1 = '80'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Mean Plot (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanplot.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 80
> (np <- floor(n / par1))
[1] 1
> 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] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[77] 1 1 1 1
> arr
       [,1] [,2]
 [1,]  97.3   NA
 [2,] 101.0   NA
 [3,] 113.2   NA
 [4,] 101.0   NA
 [5,] 105.7   NA
 [6,] 113.9   NA
 [7,]  86.4   NA
 [8,]  96.5   NA
 [9,] 103.3   NA
[10,] 114.9   NA
[11,] 105.8   NA
[12,]  94.2   NA
[13,]  98.4   NA
[14,]  99.4   NA
[15,] 108.8   NA
[16,] 112.6   NA
[17,] 104.4   NA
[18,] 112.2   NA
[19,]  81.1   NA
[20,]  97.1   NA
[21,] 112.6   NA
[22,] 113.8   NA
[23,] 107.8   NA
[24,] 103.2   NA
[25,] 103.3   NA
[26,] 101.2   NA
[27,] 107.7   NA
[28,] 110.4   NA
[29,] 101.9   NA
[30,] 115.9   NA
[31,]  89.9   NA
[32,]  88.6   NA
[33,] 117.2   NA
[34,] 123.9   NA
[35,] 100.0   NA
[36,] 103.6   NA
[37,]  94.1   NA
[38,]  98.7   NA
[39,] 119.5   NA
[40,] 112.7   NA
[41,] 104.4   NA
[42,] 124.7   NA
[43,]  89.1   NA
[44,]  97.0   NA
[45,] 121.6   NA
[46,] 118.8   NA
[47,] 114.0   NA
[48,] 111.5   NA
[49,]  97.2   NA
[50,] 102.5   NA
[51,] 113.4   NA
[52,] 109.8   NA
[53,] 104.9   NA
[54,] 126.1   NA
[55,]  80.0   NA
[56,]  96.8   NA
[57,] 117.2   NA
[58,] 112.3   NA
[59,] 117.3   NA
[60,] 111.1   NA
[61,] 102.2   NA
[62,] 104.3   NA
[63,] 122.9   NA
[64,] 107.6   NA
[65,] 121.3   NA
[66,] 131.5   NA
[67,]  89.0   NA
[68,] 104.4   NA
[69,] 128.9   NA
[70,] 135.9   NA
[71,] 133.3   NA
[72,] 121.3   NA
[73,] 120.5   NA
[74,] 120.4   NA
[75,] 137.9   NA
[76,] 126.1   NA
[77,] 133.2   NA
[78,] 146.6   NA
[79,] 103.4   NA
[80,] 117.2   NA
> arr.mean <- array(NA,dim=par1)
> arr.median <- array(NA,dim=par1)
> arr.midrange <- array(NA,dim=par1)
> for (j in 1:par1)
+ {
+ arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
+ arr.median[j] <- median(arr[j,],na.rm=TRUE)
+ arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
+ }
> overall.mean <- mean(x)
> overall.median <- median(x)
> overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
> postscript(file="/var/www/html/rcomp/tmp/159qw1193405205.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.mean,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2ito61193405205.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.median,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3zrr21193405205.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
> mtext(paste('#blocks = ',np))
> abline(overall.midrange,0)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4a4xv1193405205.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]  [,5]  [,6] [,7] [,8]  [,9] [,10] [,11] [,12] [,13]
[1,] 97.3  101 113.2  101 105.7 113.9 86.4 96.5 103.3 114.9 105.8  94.2  98.4
[2,] 97.3  101 113.2  101 105.7 113.9 86.4 96.5 103.3 114.9 105.8  94.2  98.4
[3,] 97.3  101 113.2  101 105.7 113.9 86.4 96.5 103.3 114.9 105.8  94.2  98.4
[4,] 97.3  101 113.2  101 105.7 113.9 86.4 96.5 103.3 114.9 105.8  94.2  98.4
[5,] 97.3  101 113.2  101 105.7 113.9 86.4 96.5 103.3 114.9 105.8  94.2  98.4
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]  99.4 108.8 112.6 104.4 112.2  81.1  97.1 112.6 113.8 107.8 103.2 103.3
[2,]  99.4 108.8 112.6 104.4 112.2  81.1  97.1 112.6 113.8 107.8 103.2 103.3
[3,]  99.4 108.8 112.6 104.4 112.2  81.1  97.1 112.6 113.8 107.8 103.2 103.3
[4,]  99.4 108.8 112.6 104.4 112.2  81.1  97.1 112.6 113.8 107.8 103.2 103.3
[5,]  99.4 108.8 112.6 104.4 112.2  81.1  97.1 112.6 113.8 107.8 103.2 103.3
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,] 101.2 107.7 110.4 101.9 115.9  89.9  88.6 117.2 123.9   100 103.6  94.1
[2,] 101.2 107.7 110.4 101.9 115.9  89.9  88.6 117.2 123.9   100 103.6  94.1
[3,] 101.2 107.7 110.4 101.9 115.9  89.9  88.6 117.2 123.9   100 103.6  94.1
[4,] 101.2 107.7 110.4 101.9 115.9  89.9  88.6 117.2 123.9   100 103.6  94.1
[5,] 101.2 107.7 110.4 101.9 115.9  89.9  88.6 117.2 123.9   100 103.6  94.1
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,]  98.7 119.5 112.7 104.4 124.7  89.1    97 121.6 118.8   114 111.5  97.2
[2,]  98.7 119.5 112.7 104.4 124.7  89.1    97 121.6 118.8   114 111.5  97.2
[3,]  98.7 119.5 112.7 104.4 124.7  89.1    97 121.6 118.8   114 111.5  97.2
[4,]  98.7 119.5 112.7 104.4 124.7  89.1    97 121.6 118.8   114 111.5  97.2
[5,]  98.7 119.5 112.7 104.4 124.7  89.1    97 121.6 118.8   114 111.5  97.2
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61]
[1,] 102.5 113.4 109.8 104.9 126.1    80  96.8 117.2 112.3 117.3 111.1 102.2
[2,] 102.5 113.4 109.8 104.9 126.1    80  96.8 117.2 112.3 117.3 111.1 102.2
[3,] 102.5 113.4 109.8 104.9 126.1    80  96.8 117.2 112.3 117.3 111.1 102.2
[4,] 102.5 113.4 109.8 104.9 126.1    80  96.8 117.2 112.3 117.3 111.1 102.2
[5,] 102.5 113.4 109.8 104.9 126.1    80  96.8 117.2 112.3 117.3 111.1 102.2
     [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73]
[1,] 104.3 122.9 107.6 121.3 131.5    89 104.4 128.9 135.9 133.3 121.3 120.5
[2,] 104.3 122.9 107.6 121.3 131.5    89 104.4 128.9 135.9 133.3 121.3 120.5
[3,] 104.3 122.9 107.6 121.3 131.5    89 104.4 128.9 135.9 133.3 121.3 120.5
[4,] 104.3 122.9 107.6 121.3 131.5    89 104.4 128.9 135.9 133.3 121.3 120.5
[5,] 104.3 122.9 107.6 121.3 131.5    89 104.4 128.9 135.9 133.3 121.3 120.5
     [,74] [,75] [,76] [,77] [,78] [,79] [,80]
[1,] 120.4 137.9 126.1 133.2 146.6 103.4 117.2
[2,] 120.4 137.9 126.1 133.2 146.6 103.4 117.2
[3,] 120.4 137.9 126.1 133.2 146.6 103.4 117.2
[4,] 120.4 137.9 126.1 133.2 146.6 103.4 117.2
[5,] 120.4 137.9 126.1 133.2 146.6 103.4 117.2

$n
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[77] 1 1 1 1

$conf
     [,1] [,2]  [,3] [,4]  [,5]  [,6] [,7] [,8]  [,9] [,10] [,11] [,12] [,13]
[1,] 97.3  101 113.2  101 105.7 113.9 86.4 96.5 103.3 114.9 105.8  94.2  98.4
[2,] 97.3  101 113.2  101 105.7 113.9 86.4 96.5 103.3 114.9 105.8  94.2  98.4
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]  99.4 108.8 112.6 104.4 112.2  81.1  97.1 112.6 113.8 107.8 103.2 103.3
[2,]  99.4 108.8 112.6 104.4 112.2  81.1  97.1 112.6 113.8 107.8 103.2 103.3
     [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
[1,] 101.2 107.7 110.4 101.9 115.9  89.9  88.6 117.2 123.9   100 103.6  94.1
[2,] 101.2 107.7 110.4 101.9 115.9  89.9  88.6 117.2 123.9   100 103.6  94.1
     [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
[1,]  98.7 119.5 112.7 104.4 124.7  89.1    97 121.6 118.8   114 111.5  97.2
[2,]  98.7 119.5 112.7 104.4 124.7  89.1    97 121.6 118.8   114 111.5  97.2
     [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61]
[1,] 102.5 113.4 109.8 104.9 126.1    80  96.8 117.2 112.3 117.3 111.1 102.2
[2,] 102.5 113.4 109.8 104.9 126.1    80  96.8 117.2 112.3 117.3 111.1 102.2
     [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73]
[1,] 104.3 122.9 107.6 121.3 131.5    89 104.4 128.9 135.9 133.3 121.3 120.5
[2,] 104.3 122.9 107.6 121.3 131.5    89 104.4 128.9 135.9 133.3 121.3 120.5
     [,74] [,75] [,76] [,77] [,78] [,79] [,80]
[1,] 120.4 137.9 126.1 133.2 146.6 103.4 117.2
[2,] 120.4 137.9 126.1 133.2 146.6 103.4 117.2

$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" "23" "24" "25" "26" "27" "28" "29" "30"
[31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40" "41" "42" "43" "44" "45"
[46] "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
[61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70" "71" "72" "73" "74" "75"
[76] "76" "77" "78" "79" "80"

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5eyhh1193405205.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]
[1,]  80.00   NA
[2,] 101.00   NA
[3,] 108.30   NA
[4,] 117.25   NA
[5,] 137.90   NA

$n
[1] 80  0

$conf
         [,1] [,2]
[1,] 105.4294   NA
[2,] 111.1706   NA

$out
[1] 146.6

$group
[1] 1

$names
[1] "1" NA 

> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6rplp1193405205.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
> names(z) <- list('mean','median','midrange')
> (boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
$stats
       [,1]   [,2]   [,3]
[1,]  80.00  80.00  80.00
[2,] 101.00 101.00 101.00
[3,] 108.30 108.30 108.30
[4,] 117.25 117.25 117.25
[5,] 137.90 137.90 137.90

$n
[1] 80 80 80

$conf
         [,1]     [,2]     [,3]
[1,] 105.4294 105.4294 105.4294
[2,] 111.1706 111.1706 111.1706

$out
[1] 146.6 146.6 146.6

$group
[1] 1 2 3

$names
[1] "mean"     "median"   "midrange"

> dev.off()
null device 
          1 
> 
> system("convert tmp/159qw1193405205.ps tmp/159qw1193405205.png")
> system("convert tmp/2ito61193405205.ps tmp/2ito61193405205.png")
> system("convert tmp/3zrr21193405205.ps tmp/3zrr21193405205.png")
> system("convert tmp/4a4xv1193405205.ps tmp/4a4xv1193405205.png")
> system("convert tmp/5eyhh1193405205.ps tmp/5eyhh1193405205.png")
> system("convert tmp/6rplp1193405205.ps tmp/6rplp1193405205.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.784   1.048   1.988