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(106.22,106.31,107.38,109.31,110.82,111.22,110.66,110.76,110.69,111.08,110.97,110.24,112.51,111.52,112.13,112.23,112.92,111.89,111.99,111.51,112.33,112.04,112.09,111.41,112.61,113.14,113.65,114.26,114.4,114.93,114.86,114.95,116.17,114.6,114.62,113.82,115.02,115.18,115.59,116.6,117.07,116.96,116.66,116.07,116.04,115.81,116.22,115.85,116.43,117.39,119.17,119.24,120.03,119.34,118.49,118.59,117.5,117.56,118.25,118.01)
> 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,] 106.22 112.51 112.61 115.02 116.43   NA
 [2,] 106.31 111.52 113.14 115.18 117.39   NA
 [3,] 107.38 112.13 113.65 115.59 119.17   NA
 [4,] 109.31 112.23 114.26 116.60 119.24   NA
 [5,] 110.82 112.92 114.40 117.07 120.03   NA
 [6,] 111.22 111.89 114.93 116.96 119.34   NA
 [7,] 110.66 111.99 114.86 116.66 118.49   NA
 [8,] 110.76 111.51 114.95 116.07 118.59   NA
 [9,] 110.69 112.33 116.17 116.04 117.50   NA
[10,] 111.08 112.04 114.60 115.81 117.56   NA
[11,] 110.97 112.09 114.62 116.22 118.25   NA
[12,] 110.24 111.41 113.82 115.85 118.01   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/1c3mo1193570566.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/27paa1193570566.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/3i6521193570566.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/4t8o81193570566.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]
[1,] 112.51 106.31 107.38 109.31 110.82 111.22 110.66 110.76 110.69 111.08
[2,] 112.51 111.52 112.13 112.23 112.92 111.89 111.99 111.51 112.33 112.04
[3,] 112.61 113.14 113.65 114.26 114.40 114.93 114.86 114.95 116.04 114.60
[4,] 115.02 115.18 115.59 116.60 117.07 116.96 116.66 116.07 116.17 115.81
[5,] 116.43 117.39 119.17 119.24 120.03 119.34 118.49 118.59 117.50 117.56
      [,11]  [,12]
[1,] 110.97 110.24
[2,] 112.09 111.41
[3,] 114.62 113.82
[4,] 116.22 115.85
[5,] 118.25 118.01

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 110.8364 110.5539 111.2052 111.1722 111.4676 111.3476 111.5602 111.7279
[2,] 114.3836 115.7261 116.0948 117.3478 117.3324 118.5124 118.1598 118.1721
         [,9]    [,10]    [,11]    [,12]
[1,] 113.3267 111.9361 111.7018 110.6827
[2,] 118.7533 117.2639 117.5382 116.9573

$out
[1] 106.22

$group
[1] 1

$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(112.51, 112.51, 112.61, 115.02, 116.43, 106.31,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5xebt1193570566.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,] 106.220 111.410 112.610 115.020 116.430   NA
[2,] 108.345 111.705 113.735 115.700 117.530   NA
[3,] 110.675 112.065 114.500 116.055 118.370   NA
[4,] 110.895 112.280 114.895 116.630 119.205   NA
[5,] 111.220 112.920 116.170 117.070 120.030   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 109.5119 111.8027 113.9709 115.6308 117.6060   NA
[2,] 111.8381 112.3273 115.0291 116.4792 119.1340   NA

$out
numeric(0)

$group
numeric(0)

$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(106.22, 108.345, 110.675, 110.895, 111.22,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6610i1193570567.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,] 112.558 112.610 113.3500
[2,] 113.725 113.735 113.7775
[3,] 114.352 114.500 114.0400
[4,] 114.539 114.895 114.3700
[5,] 115.048 116.040 114.9950

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 113.9807 113.9709 113.7698
[2,] 114.7233 115.0291 114.3102

$out
numeric(0)

$group
numeric(0)

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

Warning message:
some notches went outside hinges ('box'): maybe set notch=FALSE in: bxp(list(stats = c(112.558, 113.725, 114.352, 114.539, 115.048,  
> dev.off()
null device 
          1 
> 
> system("convert tmp/1c3mo1193570566.ps tmp/1c3mo1193570566.png")
> system("convert tmp/27paa1193570566.ps tmp/27paa1193570566.png")
> system("convert tmp/3i6521193570566.ps tmp/3i6521193570566.png")
> system("convert tmp/4t8o81193570566.ps tmp/4t8o81193570566.png")
> system("convert tmp/5xebt1193570566.ps tmp/5xebt1193570566.png")
> system("convert tmp/6610i1193570567.ps tmp/6610i1193570567.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.423   0.868   1.646