R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(106.60,106.80,107.00,107.10,107.30,107.40,107.60,107.70,107.90,108.20,108.30,108.50,108.92,109.23,109.41,109.65,109.91,110.01,110.20,110.49,110.57,110.72,110.94,111.09,111.28,111.41,111.62,111.76,111.89,112.04,112.12,112.30,112.47,112.59,112.78,112.73,112.99,113.10,113.33,113.38,113.68,113.65,113.81,113.88,114.02,114.25,114.28,114.38,114.73,114.97,115.05,115.29,115.37,115.54,115.76,115.92,116.02,116.21,116.26,116.51)
> 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,] 106.6 108.92 111.28 112.99 114.73   NA
 [2,] 106.8 109.23 111.41 113.10 114.97   NA
 [3,] 107.0 109.41 111.62 113.33 115.05   NA
 [4,] 107.1 109.65 111.76 113.38 115.29   NA
 [5,] 107.3 109.91 111.89 113.68 115.37   NA
 [6,] 107.4 110.01 112.04 113.65 115.54   NA
 [7,] 107.6 110.20 112.12 113.81 115.76   NA
 [8,] 107.7 110.49 112.30 113.88 115.92   NA
 [9,] 107.9 110.57 112.47 114.02 116.02   NA
[10,] 108.2 110.72 112.59 114.25 116.21   NA
[11,] 108.3 110.94 112.78 114.28 116.26   NA
[12,] 108.5 111.09 112.73 114.38 116.51   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/freestat/rcomp/tmp/12c8s1225305897.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/freestat/rcomp/tmp/296ob1225305897.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/freestat/rcomp/tmp/3zmb91225305897.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/freestat/rcomp/tmp/4pyja1225305897.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,] 106.60 106.80 107.00 107.10 107.30 107.40 107.60 107.70 107.90 108.20
[2,] 108.92 109.23 109.41 109.65 109.91 110.01 110.20 110.49 110.57 110.72
[3,] 111.28 111.41 111.62 111.76 111.89 112.04 112.12 112.30 112.47 112.59
[4,] 112.99 113.10 113.33 113.38 113.68 113.65 113.81 113.88 114.02 114.25
[5,] 114.73 114.97 115.05 115.29 115.37 115.54 115.76 115.92 116.02 116.21
      [,11]  [,12]
[1,] 108.30 108.50
[2,] 110.94 111.09
[3,] 112.78 112.73
[4,] 114.28 114.38
[5,] 116.26 116.51

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 108.4041 108.6755 108.8501 109.1244 109.2261 109.4680 109.5692 109.9046
[2,] 114.1559 114.1445 114.3899 114.3956 114.5539 114.6120 114.6708 114.6954
         [,9]    [,10]    [,11]    [,12]
[1,] 110.0322 110.0957 110.4200 110.4053
[2,] 114.9078 115.0843 115.1400 115.0547

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(106.6, 108.92, 111.28, 112.99, 114.73, 106.8,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/5ynr11225305897.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,] 106.60 108.920 111.28 112.990 114.730   NA
[2,] 107.05 109.530 111.69 113.355 115.170   NA
[3,] 107.50 110.105 112.08 113.745 115.650   NA
[4,] 108.05 110.645 112.53 114.135 116.115   NA
[5,] 108.50 111.090 112.78 114.380 116.510   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 107.0439 109.5964 111.6969 113.3892 115.2190   NA
[2,] 107.9561 110.6136 112.4631 114.1008 116.0810   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(106.6, 107.05, 107.5, 108.05, 108.5, 108.92,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/62glx1225305897.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,] 110.904 111.28 110.9550
[2,] 111.359 111.69 111.4425
[3,] 111.813 112.08 111.9175
[4,] 112.295 112.53 112.3900
[5,] 112.642 112.78 112.7350

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 111.3861 111.6969 111.4853
[2,] 112.2399 112.4631 112.3497

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> 
> system("convert tmp/12c8s1225305897.ps tmp/12c8s1225305897.png")
> system("convert tmp/296ob1225305897.ps tmp/296ob1225305897.png")
> system("convert tmp/3zmb91225305897.ps tmp/3zmb91225305897.png")
> system("convert tmp/4pyja1225305897.ps tmp/4pyja1225305897.png")
> system("convert tmp/5ynr11225305897.ps tmp/5ynr11225305897.png")
> system("convert tmp/62glx1225305897.ps tmp/62glx1225305897.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.891   1.237   2.094