R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(106.7,110.2,125.9,100.1,106.4,114.8,81.3,87,104.2,108,105,94.5,92,95.9,108.8,103.4,102.1,110.1,83.2,82.7,106.8,113.7,102.5,96.6,92.1,95.6,102.3,98.6,98.2,104.5,84,73.8,103.9,106,97.2,102.6,89,93.8,116.7,106.8,98.5,118.7,90,91.9,113.3,113.1,104.1,108.7,96.7,101,116.9,105.8,99,129.4,83,88.9,115.9,104.2,113.4,112.2,100.8,107.3,126.6,102.9,117.9,128.8,87.5,93.8,122.7,126.2,124.6,116.7,115.2,111.1,129.9,113.3,118.5,133.5,102.1,102.4)
> 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] 80
> (np <- floor(n / par1))
[1] 6
> 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] 7 7 7 7 7 7 7 7 6 6 6 6
> arr
       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]  [,7]
 [1,] 106.7  92.0  92.1  89.0  96.7 100.8 115.2
 [2,] 110.2  95.9  95.6  93.8 101.0 107.3 111.1
 [3,] 125.9 108.8 102.3 116.7 116.9 126.6 129.9
 [4,] 100.1 103.4  98.6 106.8 105.8 102.9 113.3
 [5,] 106.4 102.1  98.2  98.5  99.0 117.9 118.5
 [6,] 114.8 110.1 104.5 118.7 129.4 128.8 133.5
 [7,]  81.3  83.2  84.0  90.0  83.0  87.5 102.1
 [8,]  87.0  82.7  73.8  91.9  88.9  93.8 102.4
 [9,] 104.2 106.8 103.9 113.3 115.9 122.7    NA
[10,] 108.0 113.7 106.0 113.1 104.2 126.2    NA
[11,] 105.0 102.5  97.2 104.1 113.4 124.6    NA
[12,]  94.5  96.6 102.6 108.7 112.2 116.7    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/1y1t11196414672.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/2p6561196414672.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/3jbo31196414672.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/46gzt1196414672.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]
[1,]  89.00  93.80 102.30  98.6  98.20 104.50 81.30  73.80 103.90 104.20  97.20
[2,]  92.05  95.75 112.75 101.5  98.75 112.45 83.10  84.85 104.20 106.00 102.50
[3,]  96.70 101.00 116.90 103.4 102.10 118.70 84.00  88.90 110.05 110.55 104.55
[4,] 103.75 108.75 126.25 106.3 112.15 129.10 88.75  92.85 115.90 113.70 113.40
[5,] 115.20 111.10 129.90 113.3 118.50 133.50 90.00 102.40 122.70 113.70 124.60
      [,12]
[1,]  94.50
[2,]  96.60
[3,] 105.65
[4,] 112.20
[5,] 116.70

$n
 [1] 7 7 7 7 7 7 7 7 6 6 6 6

$conf
          [,1]      [,2]     [,3]     [,4]      [,5]     [,6]     [,7]     [,8]
[1,]  89.71295  93.23661 108.8380 100.5335  94.09774 108.7569 80.62591 84.12253
[2,] 103.68705 108.76339 124.9620 106.2665 110.10226 128.6431 87.37409 93.67747
         [,9]    [,10]     [,11]    [,12]
[1,] 102.5031 105.5833  97.51915  95.5875
[2,] 117.5969 115.5167 111.58085 115.7125

$out
[1] 102.1 126.2

$group
[1]  7 10

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

Warning message:
In bxp(list(stats = c(89, 92.05, 96.7, 103.75, 115.2, 93.8, 95.75,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/561nc1196414672.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]   [,7]
[1,]  81.3  82.70  84.00  89.00  83.00  87.50 102.10
[2,]  97.3  93.95  93.85  92.85  97.85 101.85 106.75
[3,] 105.7 102.30  98.40 105.45 105.00 117.30 114.25
[4,] 109.1 107.80 103.25 113.20 114.65 125.40 124.20
[5,] 125.9 113.70 106.00 118.70 129.40 128.80 133.50

$n
[1] 12 12 12 12 12 12  8

$conf
         [,1]      [,2]     [,3]      [,4]     [,5]     [,6]     [,7]
[1,] 100.3179  95.98292  94.1126  96.16823  97.3374 106.5587 104.5022
[2,] 111.0821 108.61708 102.6874 114.73177 112.6626 128.0413 123.9978

$out
[1] 73.8

$group
[1] 3

$names
[1] "1" "2" "3" "4" "5" "6" NA 

Warning message:
In bxp(list(stats = c(81.3, 97.3, 105.7, 109.1, 125.9, 82.7, 93.95,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6zqa11196414672.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,]  87.3000  84.000  85.9250
[2,] 100.5286  98.850 100.0750
[3,] 105.5083 103.975 105.0813
[4,] 111.5000 110.300 110.0375
[5,] 119.9714 118.700 120.7750

$n
[1] 12 12 12

$conf
         [,1]      [,2]     [,3]
[1,] 100.5042  98.75258 100.5373
[2,] 110.5125 109.19742 109.6252

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(87.3, 100.528571428571, 105.508333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1y1t11196414672.ps tmp/1y1t11196414672.png")
> system("convert tmp/2p6561196414672.ps tmp/2p6561196414672.png")
> system("convert tmp/3jbo31196414672.ps tmp/3jbo31196414672.png")
> system("convert tmp/46gzt1196414672.ps tmp/46gzt1196414672.png")
> system("convert tmp/561nc1196414672.ps tmp/561nc1196414672.png")
> system("convert tmp/6zqa11196414672.ps tmp/6zqa11196414672.png")
> 
> 
> proc.time()
   user  system elapsed 
  2.406   1.361   2.614