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(99.90,99.80,99.80,100.30,99.90,99.90,100.00,100.10,100.10,100.20,100.30,100.60,100.00,100.10,100.20,100.00,100.10,100.10,100.10,100.50,100.50,100.50,96.30,96.30,96.80,96.80,96.90,96.80,96.80,96.80,96.80,97.00,97.00,97.00,96.80,96.90,97.20,97.30,97.30,97.20,97.30,97.30,97.30,97.30,97.30,97.30,98.10,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.80,96.90,97.10,97.10)
> 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,]  99.9 100.0 96.8 97.2 96.8 97.1
 [2,]  99.8 100.1 96.8 97.3 96.8   NA
 [3,]  99.8 100.2 96.9 97.3 96.8   NA
 [4,] 100.3 100.0 96.8 97.2 96.8   NA
 [5,]  99.9 100.1 96.8 97.3 96.8   NA
 [6,]  99.9 100.1 96.8 97.3 96.8   NA
 [7,] 100.0 100.1 96.8 97.3 96.8   NA
 [8,] 100.1 100.5 97.0 97.3 96.8   NA
 [9,] 100.1 100.5 97.0 97.3 96.8   NA
[10,] 100.2 100.5 97.0 97.3 96.8   NA
[11,] 100.3  96.3 96.8 98.1 96.9   NA
[12,] 100.6  96.3 96.9 96.8 97.1   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/1vdch1193400966.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/2acex1193400966.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/30p8l1193400966.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/4f0u61193400966.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,]  96.80  96.8  96.8  96.8  96.8  96.8  96.8  96.8  96.8  96.8  96.3  96.8
[2,]  96.80  96.8  96.9  96.8  96.8  96.8  96.8  97.0  97.0  97.0  96.8  96.8
[3,]  97.15  97.3  97.3  97.2  97.3  97.3  97.3  97.3  97.3  97.3  96.9  96.9
[4,]  99.90  99.8  99.8 100.0  99.9  99.9 100.0 100.1 100.1 100.2  98.1  97.1
[5,] 100.00 100.1 100.2 100.3 100.1 100.1 100.1 100.5 100.5 100.5  98.1  97.1

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

$conf
        [,1]    [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 95.1504 95.1802 95.25087 94.93889 95.10955 95.10955 95.03889 95.10955
[2,] 99.1496 99.4198 99.34913 99.46111 99.49045 99.49045 99.56111 99.49045
         [,9]    [,10]    [,11]    [,12]
[1,] 95.10955 95.03889 95.98142 96.68802
[2,] 99.49045 99.56111 97.81858 97.11198

$out
[1] 100.3 100.6  96.3

$group
[1] 11 12 12

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(96.8, 96.8, 97.15, 99.9, 100, 96.8, 96.8,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/56wo81193400966.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,]  99.80 100.00 96.80 97.20 96.8 97.1
[2,]  99.90 100.00 96.80 97.25 96.8 97.1
[3,] 100.05 100.10 96.80 97.30 96.8 97.1
[4,] 100.25 100.35 96.95 97.30 96.8 97.1
[5,] 100.60 100.50 97.00 97.30 96.8 97.1

$n
[1] 12 12 12 12 12  1

$conf
          [,1]      [,2]     [,3]    [,4] [,5] [,6]
[1,]  99.89036  99.94036 96.73158 97.2772 96.8 97.1
[2,] 100.20964 100.25964 96.86842 97.3228 96.8 97.1

$out
[1] 96.3 96.3 98.1 96.8 96.9 97.1

$group
[1] 2 2 4 4 5 5

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(99.8, 99.9, 100.05, 100.25, 100.6, 100, 100,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6kp571193400966.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,] 97.96667 97.150 98.050
[2,] 98.06333 97.175 98.175
[3,] 98.19000 97.300 98.350
[4,] 98.28000 97.300 98.475
[5,] 98.36000 97.300 98.600

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 98.09118 97.24299 98.21317
[2,] 98.28882 97.35701 98.48683

$out
[1] 97.68 97.54 96.90 96.90 97.45 96.95

$group
[1] 1 1 2 2 3 3

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(97.9666666666667, 98.0633333333333, 98.19,  
> dev.off()
null device 
          1 
> 
> system("convert tmp/1vdch1193400966.ps tmp/1vdch1193400966.png")
> system("convert tmp/2acex1193400966.ps tmp/2acex1193400966.png")
> system("convert tmp/30p8l1193400966.ps tmp/30p8l1193400966.png")
> system("convert tmp/4f0u61193400966.ps tmp/4f0u61193400966.png")
> system("convert tmp/56wo81193400966.ps tmp/56wo81193400966.png")
> system("convert tmp/6kp571193400966.ps tmp/6kp571193400966.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.375   0.837   1.580