R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(1.64,1.65,1.65,1.66,1.67,1.67,1.68,1.68,1.69,1.7,1.71,1.72,1.72,1.73,1.73,1.73,1.73,1.74,1.75,1.75,1.75,1.76,1.76,1.76,1.77,1.78,1.78,1.79,1.79,1.79,1.79,1.79,1.83,1.83,1.83,1.83,1.84,1.84,1.84,1.85,1.85,1.85,1.86,1.86,1.86,1.87,1.87,1.88,1.88,1.88,1.89,1.89,1.9,1.91,1.91,1.91,1.91,1.91,1.92,1.92,1.92,1.93,1.94,1.94,1.94,1.95,1.95,1.95,1.95,1.96,1.96,1.97)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Mean Plot (v1.0.4) 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
> #
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 72
> (np <- floor(n / par1))
[1] 6
> arr <- array(NA,dim=c(par1,np+1))
> darr <- array(NA,dim=c(par1,np+1))
> ari <- array(0,dim=par1)
> dx <- diff(x)
> j <- 0
> for (i in 1:n)
+ {
+ j = j + 1
+ ari[j] = ari[j] + 1
+ arr[j,ari[j]] <- x[i]
+ darr[j,ari[j]] <- dx[i]
+ if (j == par1) j = 0
+ }
> ari
 [1] 6 6 6 6 6 6 6 6 6 6 6 6
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 1.64 1.72 1.77 1.84 1.88 1.92   NA
 [2,] 1.65 1.73 1.78 1.84 1.88 1.93   NA
 [3,] 1.65 1.73 1.78 1.84 1.89 1.94   NA
 [4,] 1.66 1.73 1.79 1.85 1.89 1.94   NA
 [5,] 1.67 1.73 1.79 1.85 1.90 1.94   NA
 [6,] 1.67 1.74 1.79 1.85 1.91 1.95   NA
 [7,] 1.68 1.75 1.79 1.86 1.91 1.95   NA
 [8,] 1.68 1.75 1.79 1.86 1.91 1.95   NA
 [9,] 1.69 1.75 1.83 1.86 1.91 1.95   NA
[10,] 1.70 1.76 1.83 1.87 1.91 1.96   NA
[11,] 1.71 1.76 1.83 1.87 1.92 1.96   NA
[12,] 1.72 1.76 1.83 1.88 1.92 1.97   NA
> darr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7]
 [1,] 0.01 0.01 0.01 0.00 0.00 0.01   NA
 [2,] 0.00 0.00 0.00 0.00 0.01 0.01   NA
 [3,] 0.01 0.00 0.01 0.01 0.00 0.00   NA
 [4,] 0.01 0.00 0.00 0.00 0.01 0.00   NA
 [5,] 0.00 0.01 0.00 0.00 0.01 0.01   NA
 [6,] 0.01 0.01 0.00 0.01 0.00 0.00   NA
 [7,] 0.00 0.00 0.00 0.00 0.00 0.00   NA
 [8,] 0.01 0.00 0.04 0.00 0.00 0.00   NA
 [9,] 0.01 0.01 0.00 0.01 0.00 0.01   NA
[10,] 0.01 0.00 0.00 0.00 0.01 0.00   NA
[11,] 0.01 0.00 0.00 0.01 0.00 0.01   NA
[12,] 0.00 0.01 0.01 0.00 0.00   NA   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/wessaorg/rcomp/tmp/1m2yu1419180115.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/2p2lx1419180115.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/37htx1419180115.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/4rq9v1419180115.ps",horizontal=F,onefile=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,] 1.640 1.65 1.65 1.66 1.67 1.67 1.680 1.680 1.690  1.70  1.71 1.720
[2,] 1.720 1.73 1.73 1.73 1.73 1.74 1.750 1.750 1.750  1.76  1.76 1.760
[3,] 1.805 1.81 1.81 1.82 1.82 1.82 1.825 1.825 1.845  1.85  1.85 1.855
[4,] 1.880 1.88 1.89 1.89 1.90 1.91 1.910 1.910 1.910  1.91  1.92 1.920
[5,] 1.920 1.93 1.94 1.94 1.94 1.95 1.950 1.950 1.950  1.96  1.96 1.970

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 1.701795 1.713245 1.706795 1.716795 1.710345 1.710345 1.721795 1.721795
[2,] 1.908205 1.906755 1.913205 1.923205 1.929655 1.929655 1.928205 1.928205
         [,9]    [,10]    [,11]    [,12]
[1,] 1.741795 1.753245 1.746795 1.751795
[2,] 1.948205 1.946755 1.953205 1.958205

$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(1.64, 1.72, 1.805, 1.88, 1.92, 1.65, 1.73,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5g5to1419180115.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(t(darr))
> names(z) <- c(1:par1)
> (boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries'))
$stats
     [,1] [,2]  [,3] [,4]  [,5]  [,6] [,7] [,8] [,9] [,10] [,11] [,12]
[1,] 0.00 0.00 0.000 0.00 0.000 0.000    0 0.00 0.00  0.00 0.000  0.00
[2,] 0.00 0.00 0.000 0.00 0.000 0.000    0 0.00 0.00  0.00 0.000  0.00
[3,] 0.01 0.00 0.005 0.00 0.005 0.005    0 0.00 0.01  0.00 0.005  0.00
[4,] 0.01 0.01 0.010 0.01 0.010 0.010    0 0.01 0.01  0.01 0.010  0.01
[5,] 0.01 0.01 0.010 0.01 0.010 0.010    0 0.01 0.01  0.01 0.010  0.01

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

$conf
            [,1]         [,2]         [,3]         [,4]         [,5]
[1,] 0.003549677 -0.006450323 -0.001450323 -0.006450323 -0.001450323
[2,] 0.016450323  0.006450323  0.011450323  0.006450323  0.011450323
             [,6] [,7]         [,8]        [,9]        [,10]        [,11]
[1,] -0.001450323    0 -0.006450323 0.003549677 -0.006450323 -0.001450323
[2,]  0.011450323    0  0.006450323 0.016450323  0.006450323  0.011450323
            [,12]
[1,] -0.007065975
[2,]  0.007065975

$out
[1] 0.04

$group
[1] 8

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

Warning message:
In bxp(list(stats = c(0, 0, 0.01, 0.01, 0.01, 0, 0, 0, 0.01, 0.01,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6b8fe1419180115.ps",horizontal=F,onefile=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] [,7]
[1,] 1.640 1.720 1.770 1.840 1.88 1.920   NA
[2,] 1.655 1.730 1.785 1.845 1.89 1.940   NA
[3,] 1.675 1.745 1.790 1.855 1.91 1.950   NA
[4,] 1.695 1.755 1.830 1.865 1.91 1.955   NA
[5,] 1.720 1.760 1.830 1.880 1.92 1.970   NA

$n
[1] 12 12 12 12 12 12  0

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]     [,6] [,7]
[1,] 1.656756 1.733597 1.769475 1.845878 1.900878 1.943158   NA
[2,] 1.693244 1.756403 1.810525 1.864122 1.919122 1.956842   NA

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" "2" "3" "4" "5" "6" NA 

Warning message:
In bxp(list(stats = c(1.64, 1.655, 1.675, 1.695, 1.72, 1.72, 1.73,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/7wrt11419180115.ps",horizontal=F,onefile=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,] 1.795000 1.8050 1.80125
[2,] 1.807500 1.8150 1.81125
[3,] 1.820833 1.8225 1.82625
[4,] 1.835000 1.8475 1.83625
[5,] 1.846667 1.8550 1.84375

$n
[1] 12 12 12

$conf
         [,1]     [,2]     [,3]
[1,] 1.808290 1.807677 1.814847
[2,] 1.833376 1.837323 1.837653

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(1.795, 1.8075, 1.82083333333333, 1.835, 1.84666666666667,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1m2yu1419180115.ps tmp/1m2yu1419180115.png",intern=TRUE))
character(0)
> try(system("convert tmp/2p2lx1419180115.ps tmp/2p2lx1419180115.png",intern=TRUE))
character(0)
> try(system("convert tmp/37htx1419180115.ps tmp/37htx1419180115.png",intern=TRUE))
character(0)
> try(system("convert tmp/4rq9v1419180115.ps tmp/4rq9v1419180115.png",intern=TRUE))
character(0)
> try(system("convert tmp/5g5to1419180115.ps tmp/5g5to1419180115.png",intern=TRUE))
character(0)
> try(system("convert tmp/6b8fe1419180115.ps tmp/6b8fe1419180115.png",intern=TRUE))
character(0)
> try(system("convert tmp/7wrt11419180115.ps tmp/7wrt11419180115.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.762   0.478   3.272