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(882.5,789.6,773.3,804.3,817.8,836.7,721.8,760.8,841.4,1045.6,949.2,850.1,957.4,851.8,913.9,888,973.8,927.6,833,879.5,797.3,834.5,735.1,835,892.8,697.2,821.1,732.7,797.6,866.3,826.3,778.6,779.2,951,692.3,841.4,857.3,760.7,841.2,810.3,1007.4,931.3,931.2,855.8,858.4,925.9,930.7,1037.6,979.2,942.6,843.9,854.3,1029.8,944,856.4,1059.4,959.3,941.5,1026.4,921.3,968)
> 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,]  882.5 957.4 892.8  857.3  979.2  968
 [2,]  789.6 851.8 697.2  760.7  942.6   NA
 [3,]  773.3 913.9 821.1  841.2  843.9   NA
 [4,]  804.3 888.0 732.7  810.3  854.3   NA
 [5,]  817.8 973.8 797.6 1007.4 1029.8   NA
 [6,]  836.7 927.6 866.3  931.3  944.0   NA
 [7,]  721.8 833.0 826.3  931.2  856.4   NA
 [8,]  760.8 879.5 778.6  855.8 1059.4   NA
 [9,]  841.4 797.3 779.2  858.4  959.3   NA
[10,] 1045.6 834.5 951.0  925.9  941.5   NA
[11,]  949.2 735.1 692.3  930.7 1026.4   NA
[12,]  850.1 835.0 841.4 1037.6  921.3   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/1eimh1225742677.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/2pjh51225742677.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/3py941225742677.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/4qdhl1225742677.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,] 857.3 697.2 821.1 732.7  797.6 836.7 826.3 760.8 779.2 925.9  692.3  835.0
[2,] 882.5 760.7 821.1 804.3  817.8 866.3 826.3 778.6 797.3 925.9  735.1  841.4
[3,] 925.1 789.6 841.2 810.3  973.8 927.6 833.0 855.8 841.4 941.5  930.7  850.1
[4,] 968.0 851.8 843.9 854.3 1007.4 931.3 856.4 879.5 858.4 951.0  949.2  921.3
[5,] 979.2 942.6 843.9 888.0 1029.8 944.0 856.4 879.5 858.4 951.0 1026.4 1037.6

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

$conf
         [,1]    [,2]     [,3]     [,4]      [,5]     [,6]     [,7]     [,8]
[1,] 869.9497 725.229 825.0896 774.9701  839.8291 881.6712 811.7314 784.5043
[2,] 980.2503 853.971 857.3104 845.6299 1107.7709 973.5288 854.2686 927.0957
         [,9]    [,10]     [,11]    [,12]
[1,] 798.2269 923.7644  779.4175 793.6429
[2,] 884.5731 959.2356 1081.9825 906.5571

$out
[1]  773.3  913.9  721.8  931.2 1059.4  959.3 1045.6  834.5

$group
[1]  3  3  7  7  8  9 10 10

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

Warning message:
In bxp(list(stats = c(857.3, 882.5, 925.1, 968, 979.2, 697.2, 760.7,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5df1l1225742677.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,] 721.80 735.10 692.30  760.70  843.90  968
[2,] 781.45 833.75 755.65  848.50  888.85  968
[3,] 827.25 865.65 809.35  892.15  943.30  968
[4,] 866.30 920.75 853.85  931.25 1002.80  968
[5,] 949.20 973.80 951.00 1037.60 1059.40  968

$n
[1] 12 12 12 12 12  1

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]
[1,] 788.5493 825.9687 764.5603 854.4072 891.3266  968
[2,] 865.9507 905.3313 854.1397 929.8928 995.2734  968

$out
[1] 1045.6

$group
[1] 1

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

Warning message:
In bxp(list(stats = c(721.8, 781.45, 827.25, 866.3, 949.2, 735.1,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6dp271225742677.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,] 808.3800 789.60 806.250
[2,] 836.2100 837.10 829.175
[3,] 866.7800 852.95 841.750
[4,] 912.0233 929.15 905.700
[5,] 939.7000 973.80 938.450

$n
[1] 12 12 12

$conf
        [,1]     [,2]     [,3]
[1,] 832.201 810.9654 806.8464
[2,] 901.359 894.9346 876.6536

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(808.38, 836.21, 866.78, 912.023333333333,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> system("convert tmp/1eimh1225742677.ps tmp/1eimh1225742677.png")
> system("convert tmp/2pjh51225742677.ps tmp/2pjh51225742677.png")
> system("convert tmp/3py941225742677.ps tmp/3py941225742677.png")
> system("convert tmp/4qdhl1225742677.ps tmp/4qdhl1225742677.png")
> system("convert tmp/5df1l1225742677.ps tmp/5df1l1225742677.png")
> system("convert tmp/6dp271225742677.ps tmp/6dp271225742677.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.276   0.830   1.529