R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(1.49,1.55,1.57,1.6,1.61,1.68,1.72,1.72,1.73,1.74,1.74,1.75,1.75,1.75,1.75,1.76,1.76,1.77,1.78,1.78,1.78,1.78,1.78,1.79,1.79,1.79,1.79,1.79,1.79,1.8,1.8,1.8,1.8,1.8,1.81,1.81,1.82,1.82,1.82,1.82,1.83,1.83,1.84,1.84,1.84,1.85,1.85,1.85,1.86,1.86,1.86,1.86,1.87,1.87,1.87,1.87,1.88,1.9,1.9,1.91,1.91,1.91,1.92,1.92,1.92,1.92,1.92,1.92,1.92,1.92,1.93,1.93,1.93,1.94,1.95,1.95,1.95,1.95,1.98,1.98,2.01,2.02,2.11,2.14)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), Standard Deviation Plot (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_sdplot.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par1 <- as.numeric(par1)
> (n <- length(x))
[1] 84
> (np <- floor(n / par1))
[1] 7
> 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] 7 7 7 7 7 7 7 7 7 7 7 7
> arr
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
 [1,] 1.49 1.75 1.79 1.82 1.86 1.91 1.93   NA
 [2,] 1.55 1.75 1.79 1.82 1.86 1.91 1.94   NA
 [3,] 1.57 1.75 1.79 1.82 1.86 1.92 1.95   NA
 [4,] 1.60 1.76 1.79 1.82 1.86 1.92 1.95   NA
 [5,] 1.61 1.76 1.79 1.83 1.87 1.92 1.95   NA
 [6,] 1.68 1.77 1.80 1.83 1.87 1.92 1.95   NA
 [7,] 1.72 1.78 1.80 1.84 1.87 1.92 1.98   NA
 [8,] 1.72 1.78 1.80 1.84 1.87 1.92 1.98   NA
 [9,] 1.73 1.78 1.80 1.84 1.88 1.92 2.01   NA
[10,] 1.74 1.78 1.80 1.85 1.90 1.92 2.02   NA
[11,] 1.74 1.78 1.81 1.85 1.90 1.93 2.11   NA
[12,] 1.75 1.79 1.81 1.85 1.91 1.93 2.14   NA
> arr.sd <- array(NA,dim=par1)
> arr.range <- array(NA,dim=par1)
> arr.iqr <- array(NA,dim=par1)
> for (j in 1:par1)
+ {
+ arr.sd[j] <- sqrt(var(arr[j,],na.rm=TRUE))
+ arr.range[j] <- max(arr[j,],na.rm=TRUE) - min(arr[j,],na.rm=TRUE)
+ arr.iqr[j] <- quantile(arr[j,],0.75,na.rm=TRUE) - quantile(arr[j,],0.25,na.rm=TRUE)
+ }
> overall.sd <- sqrt(var(x))
> overall.range <- max(x) - min(x)
> overall.iqr <- quantile(x,0.75) - quantile(x,0.25)
> postscript(file="/var/fisher/rcomp/tmp/1axtl1387735693.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.sd,type='b',ylab='S.D.',main='Standard Deviation Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.sd,0)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/26npw1387735693.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.range,type='b',ylab='range',main='Range Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.range,0)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3xkco1387735693.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(arr.iqr,type='b',ylab='IQR',main='Interquartile Range Plot',xlab='Periodic Index')
> mtext(paste('# blocks = ',np))
> abline(overall.iqr,0)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4wd7o1387735693.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,] 1.750 1.750 1.75 1.760 1.610 1.680 1.720 1.720 1.73  1.74 1.740  1.75
[2,] 1.770 1.770 1.77 1.775 1.775 1.785 1.790 1.790 1.79  1.79 1.795  1.80
[3,] 1.820 1.820 1.82 1.820 1.830 1.830 1.840 1.840 1.84  1.85 1.850  1.85
[4,] 1.885 1.885 1.89 1.890 1.895 1.895 1.895 1.895 1.90  1.91 1.915  1.92
[5,] 1.930 1.940 1.95 1.950 1.950 1.950 1.980 1.980 2.01  2.02 1.930  1.93

$n
 [1] 7 7 7 7 7 7 7 7 7 7 7 7

$conf
         [,1]     [,2]     [,3]     [,4]     [,5]    [,6]     [,7]     [,8]
[1,] 1.751324 1.751324 1.748338 1.751324 1.758338 1.76431 1.777296 1.777296
[2,] 1.888676 1.888676 1.891662 1.888676 1.901662 1.89569 1.902704 1.902704
        [,9]    [,10]    [,11]    [,12]
[1,] 1.77431 1.778338 1.778338 1.778338
[2,] 1.90569 1.921662 1.921662 1.921662

$out
[1] 1.49 1.55 1.57 1.60 2.11 2.14

$group
[1]  1  2  3  4 11 12

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

Warning message:
In bxp(list(stats = c(1.75, 1.77, 1.82, 1.885, 1.93, 1.75, 1.77,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/51ewa1387735693.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] [,8]
[1,] 1.490 1.750 1.79 1.820 1.86 1.92 1.930   NA
[2,] 1.585 1.755 1.79 1.820 1.86 1.92 1.950   NA
[3,] 1.700 1.775 1.80 1.835 1.87 1.92 1.965   NA
[4,] 1.735 1.780 1.80 1.845 1.89 1.92 2.015   NA
[5,] 1.750 1.790 1.81 1.850 1.91 1.92 2.110   NA

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

$conf
         [,1]     [,2]     [,3]     [,4]     [,5] [,6]     [,7] [,8]
[1,] 1.631584 1.763597 1.795439 1.823597 1.856317 1.92 1.935353   NA
[2,] 1.768416 1.786403 1.804561 1.846403 1.883683 1.92 1.994647   NA

$out
[1] 1.91 1.91 1.93 1.93 2.14

$group
[1] 6 6 6 6 7

$names
[1] "1" "2" "3" "4" "5" "6" "7" NA 

Warning message:
In bxp(list(stats = c(1.49, 1.585, 1.7, 1.735, 1.75, 1.75, 1.755,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/6pee21387735693.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> z <- data.frame(cbind(arr.sd,arr.range,arr.iqr))
> names(z) <- list('S.D.','Range','IQR')
> (boxplot(z,notch=TRUE,col='grey',ylab='Overall Variability',main='Notched Box Plots'))
$stats
           [,1]  [,2]  [,3]
[1,] 0.08791229 0.260 0.105
[2,] 0.09325585 0.275 0.110
[3,] 0.11519628 0.345 0.115
[4,] 0.12799693 0.385 0.120
[5,] 0.14795430 0.440 0.120

$n
[1] 12 12 12

$conf
           [,1]      [,2]      [,3]
[1,] 0.09935064 0.2948283 0.1104389
[2,] 0.13104192 0.3951717 0.1195611

$out
numeric(0)

$group
numeric(0)

$names
[1] "S.D."  "Range" "IQR"  

Warning message:
In bxp(list(stats = c(0.0879122939558025, 0.0932558461404028, 0.115196279781685,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1axtl1387735693.ps tmp/1axtl1387735693.png",intern=TRUE))
character(0)
> try(system("convert tmp/26npw1387735693.ps tmp/26npw1387735693.png",intern=TRUE))
character(0)
> try(system("convert tmp/3xkco1387735693.ps tmp/3xkco1387735693.png",intern=TRUE))
character(0)
> try(system("convert tmp/4wd7o1387735693.ps tmp/4wd7o1387735693.png",intern=TRUE))
character(0)
> try(system("convert tmp/51ewa1387735693.ps tmp/51ewa1387735693.png",intern=TRUE))
character(0)
> try(system("convert tmp/6pee21387735693.ps tmp/6pee21387735693.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  6.593   1.631   8.177