R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(94.7,101.8,102.5,105.3,110.3,109.8,117.3,118.8,131.3,125.9,133.1,147,145.8,164.4,149.8,137.7,151.7,156.8,180,180.4,170.4,191.6,199.5,218.2,217.5,205,194,199.3,219.3,211.1,215.2,240.2,242.2,240.7,255.4,253,218.2,203.7,205.6,215.6,188.5,202.9,214,230.3,230,241,259.6,247.8,270.3,289.7,322.7,315,320.2,329.5,360.6,382.2,435.4,464,468.8,403,351.6)
> 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,]  94.7 145.8 217.5 218.2 270.3 351.6
 [2,] 101.8 164.4 205.0 203.7 289.7    NA
 [3,] 102.5 149.8 194.0 205.6 322.7    NA
 [4,] 105.3 137.7 199.3 215.6 315.0    NA
 [5,] 110.3 151.7 219.3 188.5 320.2    NA
 [6,] 109.8 156.8 211.1 202.9 329.5    NA
 [7,] 117.3 180.0 215.2 214.0 360.6    NA
 [8,] 118.8 180.4 240.2 230.3 382.2    NA
 [9,] 131.3 170.4 242.2 230.0 435.4    NA
[10,] 125.9 191.6 240.7 241.0 464.0    NA
[11,] 133.1 199.5 255.4 259.6 468.8    NA
[12,] 147.0 218.2 253.0 247.8 403.0    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/1v1hj1229271768.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/2uvxn1229271768.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/31b901229271768.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/4hgrw1229271768.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,]  94.70 164.4 102.5 105.3 110.3 109.8 180.0 118.8 131.3 125.9 133.1 218.2
[2,] 145.80 164.4 149.8 137.7 151.7 156.8 180.0 180.4 170.4 191.6 199.5 218.2
[3,] 217.85 203.7 194.0 199.3 188.5 202.9 214.0 230.3 230.0 240.7 255.4 247.8
[4,] 270.30 205.0 205.6 215.6 219.3 211.1 215.2 240.2 242.2 241.0 259.6 253.0
[5,] 351.60 205.0 205.6 315.0 320.2 211.1 215.2 240.2 242.2 241.0 259.6 253.0

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

$conf
         [,1]     [,2]     [,3]     [,4]    [,5]     [,6]     [,7]     [,8]
[1,] 137.5435 175.0121 154.5719 144.2561 140.734 164.5318 189.1278 188.0455
[2,] 298.1565 232.3879 233.4281 254.3439 236.266 241.2682 238.8722 272.5545
         [,9]    [,10]    [,11]    [,12]
[1,] 179.2663 205.7941 212.9335 223.2104
[2,] 280.7337 275.6059 297.8665 272.3896

$out
 [1] 101.8 289.7 322.7 329.5 117.3 360.6 382.2 435.4 464.0 468.8 147.0 403.0

$group
 [1]  2  2  3  6  7  7  8  9 10 11 12 12

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

Warning message:
In bxp(list(stats = c(94.7, 145.8, 217.85, 270.3, 351.6, 164.4,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/5yaoa1229271768.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,]  94.7 137.70 194.00 188.50 270.30 351.6
[2,] 103.9 150.75 208.05 204.65 317.60 351.6
[3,] 113.8 167.40 218.40 216.90 345.05 351.6
[4,] 128.6 186.00 241.45 235.65 419.20 351.6
[5,] 147.0 218.20 255.40 259.60 468.80 351.6

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]  [,6]
[1,] 102.5342 151.3222 203.1660 202.7607 298.7096 351.6
[2,] 125.0658 183.4778 233.6340 231.0393 391.3904 351.6

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(94.7, 103.9, 113.8, 128.6, 147, 137.7, 150.75,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/6txst1229271768.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,] 192.920 188.500 176.650
[2,] 196.460 201.100 184.325
[3,] 216.885 215.925 201.950
[4,] 247.250 235.500 213.400
[5,] 263.280 255.400 235.600

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 193.7193 200.2349 188.6887
[2,] 240.0507 231.6151 215.2113

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(192.92, 196.46, 216.885, 247.25, 263.28, 188.5,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1v1hj1229271768.ps tmp/1v1hj1229271768.png")
> system("convert tmp/2uvxn1229271768.ps tmp/2uvxn1229271768.png")
> system("convert tmp/31b901229271768.ps tmp/31b901229271768.png")
> system("convert tmp/4hgrw1229271768.ps tmp/4hgrw1229271768.png")
> system("convert tmp/5yaoa1229271768.ps tmp/5yaoa1229271768.png")
> system("convert tmp/6txst1229271768.ps tmp/6txst1229271768.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.641   1.255   1.822