R version 2.8.0 (2008-10-20)
Copyright (C) 2008 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 <- c(16,19,21,19,18,16,22,18,20,20,16,15,16,16,19,20,17,11,11,11,12,8,14,13,17,21,20,17,18,16,20,20,20,20,24,23,14,21,23,21,24,24,23,21,20,20,21,14,18,16,19,19,15,13,11,9,11,13,5,0)
> 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,]   16   16   17   14   18   NA
 [2,]   19   16   21   21   16   NA
 [3,]   21   19   20   23   19   NA
 [4,]   19   20   17   21   19   NA
 [5,]   18   17   18   24   15   NA
 [6,]   16   11   16   24   13   NA
 [7,]   22   11   20   23   11   NA
 [8,]   18   11   20   21    9   NA
 [9,]   20   12   20   20   11   NA
[10,]   20    8   20   20   13   NA
[11,]   16   14   24   21    5   NA
[12,]   15   13   23   14    0   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/1g7181229172193.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/2vfy71229172193.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/3v10p1229172193.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/4yw6m1229172193.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,]   16   16   19   19   17   11   11    9   11     8     5    13
[2,]   16   16   19   19   17   13   11   11   12    13    14    13
[3,]   16   19   20   19   18   16   20   18   20    20    16    14
[4,]   17   21   21   20   18   16   22   20   20    20    21    15
[5,]   18   21   23   21   18   16   23   21   20    20    24    15

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 15.29340 15.46701 18.58681 18.29340 17.29340 13.88021 12.22743 11.64062
[2,] 16.70660 22.53299 21.41319 19.70660 18.70660 18.11979 27.77257 24.35938
         [,9]    [,10]    [,11]    [,12]
[1,] 14.34722 15.05382 11.05382 12.58681
[2,] 25.65278 24.94618 20.94618 15.41319

$out
[1] 14 17 24 15 24 23  0

$group
[1]  1  4  5  5  6 12 12

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

Warning message:
In bxp(list(stats = c(16, 16, 16, 17, 18, 16, 16, 19, 21, 21, 19,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5rowr1229172193.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,] 15.0  8.0 16.0   20    0   NA
[2,] 16.0 11.0 17.5   20   10   NA
[3,] 18.5 13.5 20.0   21   13   NA
[4,] 20.0 16.5 20.5   23   17   NA
[5,] 22.0 20.0 24.0   24   19   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4]      [,5] [,6]
[1,] 16.67557 10.99141 18.63168 19.63168  9.807253   NA
[2,] 20.32443 16.00859 21.36832 22.36832 16.192747   NA

$out
[1] 14 14

$group
[1] 4 4

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

Warning message:
In bxp(list(stats = c(15, 16, 18.5, 20, 22, 8, 11, 13.5, 16.5, 20,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6teer1229172193.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,] 13.0 14.0 14.00
[2,] 16.0 16.0 15.75
[3,] 16.4 18.5 16.50
[4,] 18.5 20.0 18.00
[5,] 20.4 20.0 20.00

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 15.25973 16.67557 15.47376
[2,] 17.54027 20.32443 17.52624

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(13, 16, 16.4, 18.5, 20.4, 14, 16, 18.5, 20,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1g7181229172193.ps tmp/1g7181229172193.png")
> system("convert tmp/2vfy71229172193.ps tmp/2vfy71229172193.png")
> system("convert tmp/3v10p1229172193.ps tmp/3v10p1229172193.png")
> system("convert tmp/4yw6m1229172193.ps tmp/4yw6m1229172193.png")
> system("convert tmp/5rowr1229172193.ps tmp/5rowr1229172193.png")
> system("convert tmp/6teer1229172193.ps tmp/6teer1229172193.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.093   0.847   1.707