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(125326,122716,116615,113719,110737,112093,143565,149946,149147,134339,122683,115614,116566,111272,104609,101802,94542,93051,124129,130374,123946,114971,105531,104919,104782,101281,94545,93248,84031,87486,115867,120327,117008,108811,104519,106758,109337,109078,108293,106534,99197,103493,130676,137448,134704,123725,118277,121225,120528,118240,112514,107304,100001,102082,130455,135574,132540,119920,112454,109415,109843,106365,102304,97968,92462,92286,120092,126656,124144,114045,108120,105698,111203,110030,104009,99772,96301,97680,121563,134210,133111,124527,117589,115699)
> 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,] 125326 116566 104782 109337 120528 109843 111203   NA
 [2,] 122716 111272 101281 109078 118240 106365 110030   NA
 [3,] 116615 104609  94545 108293 112514 102304 104009   NA
 [4,] 113719 101802  93248 106534 107304  97968  99772   NA
 [5,] 110737  94542  84031  99197 100001  92462  96301   NA
 [6,] 112093  93051  87486 103493 102082  92286  97680   NA
 [7,] 143565 124129 115867 130676 130455 120092 121563   NA
 [8,] 149946 130374 120327 137448 135574 126656 134210   NA
 [9,] 149147 123946 117008 134704 132540 124144 133111   NA
[10,] 134339 114971 108811 123725 119920 114045 124527   NA
[11,] 122683 105531 104519 118277 112454 108120 117589   NA
[12,] 115614 104919 106758 121225 109415 105698 115699   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/wessaorg/rcomp/tmp/1q3111386508679.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/wessaorg/rcomp/tmp/2opmw1386508679.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/wessaorg/rcomp/tmp/386hv1386508679.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/wessaorg/rcomp/tmp/4mbtc1386508679.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]
[1,] 104782 101281.0  94545.0  93248  92462  87486.0 115867.0 120327 117008.0
[2,] 109590 107721.5 103156.5  98870  93502  92668.5 120827.5 128515 124045.0
[3,] 111203 110030.0 104609.0 101802  96301  97680.0 124129.0 134210 132540.0
[4,] 118547 114756.0 110403.5 106919  99599 102787.5 130565.5 136511 133907.5
[5,] 125326 122716.0 116615.0 113719 100001 112093.0 143565.0 137448 134704.0
      [,10]    [,11]    [,12]
[1,] 108811 104519.0 104919.0
[2,] 114508 106825.5 106228.0
[3,] 119920 112454.0 109415.0
[4,] 124126 117933.0 115656.5
[5,] 134339 122683.0 121225.0

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

$conf
       [,1]     [,2]     [,3]      [,4]     [,5]     [,6]     [,7]     [,8]
[1,] 105854 105829.1 100281.2  96995.27 92659.97  91637.1 118313.6 129434.9
[2,] 116552 114230.9 108936.8 106608.73 99942.03 103722.9 129944.4 138985.1
         [,9]    [,10]    [,11]    [,12]
[1,] 126650.3 114176.3 105820.8 103784.5
[2,] 138429.7 125663.7 119087.2 115045.5

$out
[1] 110737  84031 149946 149147

$group
[1] 5 5 8 9

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

Warning message:
In bxp(list(stats = c(104782, 109590, 111203, 118547, 125326, 101281,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/56nr81386508680.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,] 110737.0  93051.0  84031.0  99197.0 100001.0  92286.0  96301.0   NA
[2,] 114666.5 103205.5  93896.5 107413.5 108359.5 100136.0 101890.5   NA
[3,] 122699.5 108401.5 104650.5 113807.0 115377.0 107242.5 113451.0   NA
[4,] 138952.0 120256.0 112339.0 127200.5 125491.5 117068.5 123045.0   NA
[5,] 149946.0 130374.0 120327.0 137448.0 135574.0 126656.0 134210.0   NA

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

$conf
         [,1]     [,2]      [,3]   [,4]   [,5]      [,6]     [,7] [,8]
[1,] 111622.7 100624.7  96238.75 104782 107563  99519.47 103802.3   NA
[2,] 133776.3 116178.3 113062.25 122832 123191 114965.53 123099.7   NA

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(110737, 114666.5, 122699.5, 138952, 149946,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6e0wy1386508680.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,]  6228.196 16306.0  6097.00
[2,]  7089.843 20507.5  7621.50
[3,]  7669.298 23338.5  9192.75
[4,]  8814.779 27202.0  9800.25
[5,] 10340.680 32139.0 11107.50

$n
[1] 12 12 12

$conf
         [,1]     [,2]      [,3]
[1,] 6882.542 20285.09  8199.007
[2,] 8456.053 26391.91 10186.493

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(6228.19596290779, 7089.8426231237, 7669.29755925217,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/1q3111386508679.ps tmp/1q3111386508679.png",intern=TRUE))
character(0)
> try(system("convert tmp/2opmw1386508679.ps tmp/2opmw1386508679.png",intern=TRUE))
character(0)
> try(system("convert tmp/386hv1386508679.ps tmp/386hv1386508679.png",intern=TRUE))
character(0)
> try(system("convert tmp/4mbtc1386508679.ps tmp/4mbtc1386508679.png",intern=TRUE))
character(0)
> try(system("convert tmp/56nr81386508680.ps tmp/56nr81386508680.png",intern=TRUE))
character(0)
> try(system("convert tmp/6e0wy1386508680.ps tmp/6e0wy1386508680.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.798   0.980   5.751