R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(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 = '12'
> #'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] 60
> (np <- floor(n / par1))
[1] 5
> 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] 5 5 5 5 5 5 5 5 5 5 5 5
> arr
       [,1]  [,2]  [,3]  [,4]  [,5] [,6]
 [1,] 112.6 117.2 121.6 117.2 128.9   NA
 [2,] 113.8 123.9 118.8 112.3 135.9   NA
 [3,] 107.8 100.0 114.0 117.3 133.3   NA
 [4,] 103.2 103.6 111.5 111.1 121.3   NA
 [5,] 103.3  94.1  97.2 102.2 120.5   NA
 [6,] 101.2  98.7 102.5 104.3 120.4   NA
 [7,] 107.7 119.5 113.4 122.9 137.9   NA
 [8,] 110.4 112.7 109.8 107.6 126.1   NA
 [9,] 101.9 104.4 104.9 121.3 133.2   NA
[10,] 115.9 124.7 126.1 131.5 146.6   NA
[11,]  89.9  89.1  80.0  89.0 103.4   NA
[12,]  88.6  97.0  96.8 104.4 117.2   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/1moat1194611110.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/27pa11194611110.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/3qxz51194611110.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/40mhw1194611110.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]
[1,] 112.6 112.3 100.0 103.2  94.1  98.7 107.7 107.6 101.9 115.9  89.0  88.6
[2,] 117.2 113.8 107.8 103.6  97.2 101.2 113.4 109.8 104.4 124.7  89.0  96.8
[3,] 117.2 118.8 114.0 111.1 102.2 102.5 119.5 110.4 104.9 126.1  89.1  97.0
[4,] 121.6 123.9 117.3 111.5 103.3 104.3 122.9 112.7 121.3 131.5  89.9 104.4
[5,] 121.6 135.9 117.3 121.3 103.3 104.3 122.9 112.7 133.2 131.5  89.9 104.4

$n
 [1] 5 5 5 5 5 5 5 5 5 5 5 5

$conf
         [,1]     [,2]     [,3]     [,4]      [,5]     [,6]     [,7]     [,8]
[1,] 114.0910 111.6634 107.2873 105.5179  97.88976 100.3095 112.7873 108.3509
[2,] 120.3090 125.9366 120.7127 116.6821 106.51024 104.6905 126.2127 112.4491
         [,9]    [,10]    [,11]     [,12]
[1,]  92.9585 121.2951 88.46406  91.62986
[2,] 116.8415 130.9049 89.73594 102.37014

$out
 [1] 128.9 133.3 120.5 120.4 137.9 126.1 146.6  80.0 103.4 117.2

$group
 [1]  1  3  5  6  7  8 10 11 11 12

$names
 [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12"

Warning message:
In bxp(list(stats = c(112.6, 117.2, 117.2, 121.6, 121.6, 112.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/54l4n1194611110.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]
[1,]  88.60  89.10  80.00  89.00 103.40   NA
[2,] 101.55  97.85  99.85 104.35 120.45   NA
[3,] 105.50 104.00 110.65 111.70 127.50   NA
[4,] 111.50 118.35 116.40 119.30 134.60   NA
[5,] 115.90 124.70 126.10 131.50 146.60   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]      [,2]     [,3]     [,4]     [,5] [,6]
[1,] 100.9617  94.64981 103.1014 104.8812 121.0461   NA
[2,] 110.0383 113.35019 118.1986 118.5188 133.9539   NA

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" "2" "3" "4" "5" NA 

Warning message:
In bxp(list(stats = c(88.6, 101.55, 105.5, 111.5, 115.9, 89.1, 97.85,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/68e3e1194611110.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,]  90.28  89.10  89.450
[2,] 104.44 102.35 101.675
[3,] 113.23 110.75 111.900
[4,] 119.89 118.00 118.500
[5,] 128.96 126.10 128.100

$n
[1] 12 12 12

$conf
         [,1]     [,2]    [,3]
[1,] 106.1832 103.6119 104.226
[2,] 120.2768 117.8881 119.574

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(90.28, 104.44, 113.23, 119.89, 128.96, 89.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1moat1194611110.ps tmp/1moat1194611110.png")
> system("convert tmp/27pa11194611110.ps tmp/27pa11194611110.png")
> system("convert tmp/3qxz51194611110.ps tmp/3qxz51194611110.png")
> system("convert tmp/40mhw1194611110.ps tmp/40mhw1194611110.png")
> system("convert tmp/54l4n1194611110.ps tmp/54l4n1194611110.png")
> system("convert tmp/68e3e1194611110.ps tmp/68e3e1194611110.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.375   0.862   1.686