R version 2.7.0 (2008-04-22)
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(1.7,1.4,1.8,1.7,1.4,1.2,1,1.7,2.4,2,2.1,2,1.8,2.7,2.3,1.9,2,2.3,2.8,2.4,2.3,2.7,2.7,2.9,3,2.2,2.3,2.8,2.8,2.8,2.2,2.6,2.8,2.5,2.4,2.3,1.9,1.7,2,2.1,1.7,1.8,1.8,1.8,1.3,1.3,1.3,1.2,1.4,2.2,2.9,3.1,3.5,3.6,4.4,4.1,5.1,5.8,5.9,5.4,5.5)
> 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] 61
> (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] 6 5 5 5 5 5 5 5 5 5 5 5
> arr
      [,1] [,2] [,3] [,4] [,5] [,6]
 [1,]  1.7  1.8  3.0  1.9  1.4  5.5
 [2,]  1.4  2.7  2.2  1.7  2.2   NA
 [3,]  1.8  2.3  2.3  2.0  2.9   NA
 [4,]  1.7  1.9  2.8  2.1  3.1   NA
 [5,]  1.4  2.0  2.8  1.7  3.5   NA
 [6,]  1.2  2.3  2.8  1.8  3.6   NA
 [7,]  1.0  2.8  2.2  1.8  4.4   NA
 [8,]  1.7  2.4  2.6  1.8  4.1   NA
 [9,]  2.4  2.3  2.8  1.3  5.1   NA
[10,]  2.0  2.7  2.5  1.3  5.8   NA
[11,]  2.1  2.7  2.4  1.3  5.9   NA
[12,]  2.0  2.9  2.3  1.2  5.4   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/1niva1229889360.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/2b35h1229889360.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/3b8we1229889361.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/4pebu1229889361.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,] 1.40  1.4  1.8  1.7  1.4  1.2  1.0  1.7  2.3   1.3   1.3   1.2
[2,] 1.70  1.7  2.0  1.9  1.7  1.8  1.8  1.8  2.3   2.0   2.1   2.0
[3,] 1.85  2.2  2.3  2.1  2.0  2.3  2.2  2.4  2.4   2.5   2.4   2.3
[4,] 3.00  2.2  2.3  2.8  2.8  2.8  2.8  2.6  2.8   2.7   2.7   2.9
[5,] 3.00  2.7  2.3  3.1  3.5  3.6  2.8  2.6  2.8   2.7   2.7   2.9

$n
 [1] 6 5 5 5 5 5 5 5 5 5 5 5

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.011458 1.846701 2.088021 1.464062 1.222743 1.593403 1.493403 1.834722
[2,] 2.688542 2.553299 2.511979 2.735938 2.777257 3.006597 2.906597 2.965278
         [,9]    [,10]    [,11]    [,12]
[1,] 2.046701 2.005382 1.976042 1.664062
[2,] 2.753299 2.994618 2.823958 2.935938

$out
[1] 5.5 2.9 4.4 4.1 1.3 5.1 5.8 5.9 5.4

$group
[1]  1  3  7  8  9  9 10 11 12

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

Warning message:
In bxp(list(stats = c(1.4, 1.7, 1.85, 3, 3, 1.4, 1.7, 2.2, 2.2,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5uj2f1229889361.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,]  1.0 1.80 2.20 1.20 1.40  5.5
[2,]  1.4 2.15 2.30 1.30 3.00  5.5
[3,]  1.7 2.35 2.55 1.75 3.85  5.5
[4,]  2.0 2.70 2.80 1.85 5.25  5.5
[5,]  2.4 2.90 3.00 2.10 5.90  5.5

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]    [,5] [,6]
[1,] 1.426336 2.099141 2.321947 1.499141 2.82376  5.5
[2,] 1.973664 2.600859 2.778053 2.000859 4.87624  5.5

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1, 1.4, 1.7, 2, 2.4, 1.8, 2.15, 2.35, 2.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6l0pp1229889361.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,] 2.04 1.85 2.1500
[2,] 2.30 2.15 2.2125
[3,] 2.48 2.30 2.3000
[4,] 2.77 2.40 2.3750
[5,] 2.88 2.50 2.5500

$n
[1] 12 12 12

$conf
        [,1]     [,2]     [,3]
[1,] 2.26563 2.185973 2.225883
[2,] 2.69437 2.414027 2.374117

$out
[1] 1.95

$group
[1] 3

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

Warning message:
In bxp(list(stats = c(2.04, 2.3, 2.48, 2.77, 2.88, 1.85, 2.15, 2.3,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1niva1229889360.ps tmp/1niva1229889360.png")
> system("convert tmp/2b35h1229889360.ps tmp/2b35h1229889360.png")
> system("convert tmp/3b8we1229889361.ps tmp/3b8we1229889361.png")
> system("convert tmp/4pebu1229889361.ps tmp/4pebu1229889361.png")
> system("convert tmp/5uj2f1229889361.ps tmp/5uj2f1229889361.png")
> system("convert tmp/6l0pp1229889361.ps tmp/6l0pp1229889361.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.312   1.352   2.525