R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(92.1,95.6,102.3,98.6,98.2,104.5,84,73.8,103.9,106,97.2,102.6,89,93.8,116.7,106.8,98.5,118.7,90,91.9,113.3,113.1,104.1,108.7,96.7,101,116.9,105.8,99,129.4,83,88.9,115.9,104.2,113.4,112.2,100.8,107.3,126.6,102.9,117.9,128.8,87.5,93.8,122.7,126.2,124.6,116.7,115.2,111.1,129.9,113.3,118.5,137.9,103.6,101.7,127.4,137,129.1,120.6)
> 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,]  92.1  89.0  96.7 100.8 115.2   NA
 [2,]  95.6  93.8 101.0 107.3 111.1   NA
 [3,] 102.3 116.7 116.9 126.6 129.9   NA
 [4,]  98.6 106.8 105.8 102.9 113.3   NA
 [5,]  98.2  98.5  99.0 117.9 118.5   NA
 [6,] 104.5 118.7 129.4 128.8 137.9   NA
 [7,]  84.0  90.0  83.0  87.5 103.6   NA
 [8,]  73.8  91.9  88.9  93.8 101.7   NA
 [9,] 103.9 113.3 115.9 122.7 127.4   NA
[10,] 106.0 113.1 104.2 126.2 137.0   NA
[11,]  97.2 104.1 113.4 124.6 129.1   NA
[12,] 102.6 108.7 112.2 116.7 120.6   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/189151225740045.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/2ab4r1225740045.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/3tdu31225740045.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/48urv1225740045.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,]  89.0  93.8 102.3  98.6  98.2 104.5 83.0 88.9 103.9 104.2  97.2 102.6
[2,]  92.1  95.6 116.7 102.9  98.5 118.7 84.0 88.9 113.3 106.0 104.1 108.7
[3,]  96.7 101.0 116.9 105.8  99.0 128.8 87.5 91.9 115.9 113.1 113.4 112.2
[4,] 100.8 107.3 126.6 106.8 117.9 129.4 90.0 93.8 122.7 126.2 124.6 116.7
[5,] 100.8 111.1 129.9 106.8 118.5 137.9 90.0 93.8 127.4 137.0 129.1 120.6

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

$conf
         [,1]      [,2]     [,3]     [,4]      [,5]     [,6]     [,7]     [,8]
[1,]  90.5526  92.73281 109.9047 103.0443  85.29201 121.2394 83.26042 88.43767
[2,] 102.8474 109.26719 123.8953 108.5557 112.70799 136.3606 91.73958 95.36233
         [,9]     [,10]     [,11]    [,12]
[1,] 109.2580  98.82673  98.91475 106.5472
[2,] 122.5420 127.37327 127.88525 117.8528

$out
[1] 115.2 113.3 103.6  73.8 101.7

$group
[1] 1 4 7 8 8

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

Warning message:
In bxp(list(stats = c(89, 92.1, 96.7, 100.8, 100.8, 93.8, 95.6,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5gsyx1225740045.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,]  84.00  89.00  83.00  87.50 101.70   NA
[2,]  93.85  92.85  97.85 101.85 112.20   NA
[3,]  98.40 105.45 105.00 117.30 119.55   NA
[4,] 103.25 113.20 114.65 125.40 129.50   NA
[5,] 106.00 118.70 129.40 128.80 137.90   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]      [,2]     [,3]     [,4]     [,5] [,6]
[1,]  94.1126  96.16823  97.3374 106.5587 111.6594   NA
[2,] 102.6874 114.73177 112.6626 128.0413 127.4406   NA

$out
[1] 73.8

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(84, 93.85, 98.4, 103.25, 106, 89, 92.85, 105.45,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/68l9n1225740045.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,]  89.62  87.50  87.00
[2,] 100.26  97.85  98.95
[3,] 109.29 109.00 110.45
[4,] 116.97 114.65 117.05
[5,] 123.86 128.80 124.05

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 101.6685 101.3374 102.1945
[2,] 116.9115 116.6626 118.7055

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(89.62, 100.26, 109.29, 116.97, 123.86, 87.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/189151225740045.ps tmp/189151225740045.png")
> system("convert tmp/2ab4r1225740045.ps tmp/2ab4r1225740045.png")
> system("convert tmp/3tdu31225740045.ps tmp/3tdu31225740045.png")
> system("convert tmp/48urv1225740045.ps tmp/48urv1225740045.png")
> system("convert tmp/5gsyx1225740045.ps tmp/5gsyx1225740045.png")
> system("convert tmp/68l9n1225740045.ps tmp/68l9n1225740045.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.869   1.904   3.150