R version 2.5.1 (2007-06-27)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(680.2,668.9,611.4,640.8,549.8,541.8,628.6,686.5,611.8,588.4,566.9,563.7,569.9,635.4,590.8,634.3,576.1,351.6,507.5,586.2,666.4,693.6,650.6,654.8,733.5,648.1,678.1,816.2,591.0,563.5,742.5,694.4,728.6,749.0,538.9,568.5,692.8,580.5,506.9,612.8,442.9,523.3,596.7,533.7,523.1,559.2,430.7,538.2,612.4,428.0,522.4,531.1,425.9,410.3,551.0,555.6,460.2,288.9,392.3,400.5,399.0)
> 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,] 680.2 569.9 733.5 692.8 612.4  399
 [2,] 668.9 635.4 648.1 580.5 428.0   NA
 [3,] 611.4 590.8 678.1 506.9 522.4   NA
 [4,] 640.8 634.3 816.2 612.8 531.1   NA
 [5,] 549.8 576.1 591.0 442.9 425.9   NA
 [6,] 541.8 351.6 563.5 523.3 410.3   NA
 [7,] 628.6 507.5 742.5 596.7 551.0   NA
 [8,] 686.5 586.2 694.4 533.7 555.6   NA
 [9,] 611.8 666.4 728.6 523.1 460.2   NA
[10,] 588.4 693.6 749.0 559.2 288.9   NA
[11,] 566.9 650.6 538.9 430.7 392.3   NA
[12,] 563.7 654.8 568.5 538.2 400.5   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/1uovd1193148876.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/2van41193148876.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/3fp331193148876.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/4u1lz1193148876.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,] 399.0 580.5 506.9 612.8 425.9 351.6 507.5 533.7 460.2 559.2 392.3 538.2
[2,] 569.9 580.5 522.4 612.8 442.9 410.3 551.0 555.6 523.1 559.2 430.7 538.2
[3,] 646.3 635.4 590.8 634.3 549.8 523.3 596.7 586.2 611.8 588.4 538.9 563.7
[4,] 692.8 648.1 611.4 640.8 576.1 541.8 628.6 686.5 666.4 693.6 566.9 568.5
[5,] 733.5 668.9 678.1 640.8 591.0 563.5 742.5 694.4 728.6 749.0 650.6 568.5

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

$conf
         [,1]    [,2]     [,3]     [,4]     [,5]     [,6]    [,7]     [,8]
[1,] 567.0255 587.634 527.9128 614.5153 455.6812 430.3824 541.868 493.7064
[2,] 725.5745 683.166 653.6872 654.0847 643.9188 616.2176 651.532 678.6936
         [,9]    [,10]    [,11]    [,12]
[1,] 510.5446 493.4333 442.6614 542.2901
[2,] 713.0554 683.3667 635.1386 585.1099

$out
[1] 428.0 816.2 531.1 288.9 654.8 400.5

$group
[1]  2  4  4 10 12 12

$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(399, 569.9, 646.3, 692.8, 733.5, 580.5, 580.5,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5am7t1193148876.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,] 541.80 507.50 538.90 430.70 288.90  399
[2,] 565.30 573.00 579.75 515.00 405.40  399
[3,] 611.60 612.55 686.25 535.95 444.10  399
[4,] 654.85 652.70 738.00 588.60 541.05  399
[5,] 686.50 693.60 816.20 692.80 612.40  399

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 570.7556 576.1983 614.0711 502.3805 382.2291  399
[2,] 652.4444 648.9017 758.4289 569.5195 505.9709  399

$out
[1] 351.6

$group
[1] 2

$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(541.8, 565.3, 611.6, 654.85, 686.5, 507.5,  
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6ssye1193148876.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,] 478.10 523.30 476.0500
[2,] 531.14 556.75 531.4250
[3,] 587.05 589.60 592.2750
[4,] 608.27 623.05 623.7250
[5,] 647.04 646.30 635.0875

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 551.8705 559.3601 550.1764
[2,] 622.2295 619.8399 634.3736

$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(478.1, 531.14, 587.05, 608.27, 647.04, 523.3,  
> dev.off()
null device 
          1 
> 
> system("convert tmp/1uovd1193148876.ps tmp/1uovd1193148876.png")
> system("convert tmp/2van41193148876.ps tmp/2van41193148876.png")
> system("convert tmp/3fp331193148876.ps tmp/3fp331193148876.png")
> system("convert tmp/4u1lz1193148876.ps tmp/4u1lz1193148876.png")
> system("convert tmp/5am7t1193148876.ps tmp/5am7t1193148876.png")
> system("convert tmp/6ssye1193148876.ps tmp/6ssye1193148876.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.347   0.818   1.608