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(106.48,106.83,107.14,107.94,108.46,108.81,108.92,108.99,109.16,109.22,109.43,109.23,109.93,110.09,110.33,110.11,110.35,110.09,110.44,110.39,110.62,110.43,110.46,110.55,110.94,111.56,111.82,111.73,111.57,111.85,112.06,112.2,112.47,112.15,112.36,112.32,112.67,113.02,113.05,113.5,113.67,113.65,114,114.03,114.08,114.49,114.48,114.25,114.68,115.28,115.9,115.87,116.09,116.29,116.76,116.78,116.65,116.46,116.82,116.91)
> 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,] 106.48 109.93 110.94 112.67 114.68   NA
 [2,] 106.83 110.09 111.56 113.02 115.28   NA
 [3,] 107.14 110.33 111.82 113.05 115.90   NA
 [4,] 107.94 110.11 111.73 113.50 115.87   NA
 [5,] 108.46 110.35 111.57 113.67 116.09   NA
 [6,] 108.81 110.09 111.85 113.65 116.29   NA
 [7,] 108.92 110.44 112.06 114.00 116.76   NA
 [8,] 108.99 110.39 112.20 114.03 116.78   NA
 [9,] 109.16 110.62 112.47 114.08 116.65   NA
[10,] 109.22 110.43 112.15 114.49 116.46   NA
[11,] 109.43 110.46 112.36 114.48 116.82   NA
[12,] 109.23 110.55 112.32 114.25 116.91   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/1vt8h1193582787.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/2kqol1193582787.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/35lqx1193582787.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/4op9v1193582787.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,] 106.48 106.83 107.14 107.94 108.46 108.81 108.92 108.99 109.16 109.22
[2,] 109.93 110.09 110.33 110.11 110.35 110.09 110.44 110.39 110.62 110.43
[3,] 110.94 111.56 111.82 111.73 111.57 111.85 112.06 112.20 112.47 112.15
[4,] 112.67 113.02 113.05 113.50 113.67 113.65 114.00 114.03 114.08 114.49
[5,] 114.68 115.28 115.90 115.87 116.09 116.29 116.76 116.78 116.65 116.46
      [,11]  [,12]
[1,] 109.43 109.23
[2,] 110.46 110.55
[3,] 112.36 112.32
[4,] 114.48 114.25
[5,] 116.82 116.91

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 109.0039 109.4897 109.8981 109.3346 109.2241 109.3345 109.5445 109.6280
[2,] 112.8761 113.6303 113.7419 114.1254 113.9159 114.3655 114.5755 114.7720
         [,9]    [,10]    [,11]    [,12]
[1,] 110.0252 109.2812 109.5195 109.7056
[2,] 114.9148 115.0188 115.2005 114.9344

$out
numeric(0)

$group
numeric(0)

$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(106.48, 109.93, 110.94, 112.67, 114.68, 106.83,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5h50u1193582787.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,] 106.480 109.93 110.940 112.670 114.680   NA
[2,] 107.540 110.10 111.650 113.275 115.885   NA
[3,] 108.865 110.37 111.955 113.835 116.375   NA
[4,] 109.190 110.45 112.260 114.165 116.770   NA
[5,] 109.430 110.62 112.470 114.490 116.910   NA

$n
[1] 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 108.1124 110.2104 111.6768 113.4291 115.9713   NA
[2,] 109.6176 110.5296 112.2332 114.2409 116.7787   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(106.48, 107.54, 108.865, 109.19, 109.43, 109.93,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6go0e1193582787.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,] 110.940 110.940 111.3000
[2,] 111.739 111.650 111.7475
[3,] 112.287 111.955 112.1100
[4,] 112.573 112.260 112.3750
[5,] 112.710 112.470 112.4700

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 111.9066 111.6768 111.8238
[2,] 112.6674 112.2332 112.3962

$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(110.94, 111.739, 112.287, 112.573, 112.71,  
> dev.off()
null device 
          1 
> 
> system("convert tmp/1vt8h1193582787.ps tmp/1vt8h1193582787.png")
> system("convert tmp/2kqol1193582787.ps tmp/2kqol1193582787.png")
> system("convert tmp/35lqx1193582787.ps tmp/35lqx1193582787.png")
> system("convert tmp/4op9v1193582787.ps tmp/4op9v1193582787.png")
> system("convert tmp/5h50u1193582787.ps tmp/5h50u1193582787.png")
> system("convert tmp/6go0e1193582787.ps tmp/6go0e1193582787.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.369   0.823   1.608