R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
Copyright (C) 2015 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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(102.96,107.5,103.5,107.36,103.59,99.04,93.19,93.28,104.48,93.22,106.43,95.25)
> par1 = '12'
> par1 <- '12'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 30 Nov 2015 07:01:18 +0000)
> #Author: root
> #To cite this work: Wessa P., (2015), Mean Plot (v1.0.5) 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)
> x <- na.omit(x)
> (n <- length(x))
[1] 12
> (np <- floor(n / par1))
[1] 1
> 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] 1 1 1 1 1 1 1 1 1 1 1 1
> arr
        [,1] [,2]
 [1,] 102.96   NA
 [2,] 107.50   NA
 [3,] 103.50   NA
 [4,] 107.36   NA
 [5,] 103.59   NA
 [6,]  99.04   NA
 [7,]  93.19   NA
 [8,]  93.28   NA
 [9,] 104.48   NA
[10,]  93.22   NA
[11,] 106.43   NA
[12,]  95.25   NA
> darr
        [,1] [,2]
 [1,]   4.54   NA
 [2,]  -4.00   NA
 [3,]   3.86   NA
 [4,]  -3.77   NA
 [5,]  -4.55   NA
 [6,]  -5.85   NA
 [7,]   0.09   NA
 [8,]  11.20   NA
 [9,] -11.26   NA
[10,]  13.21   NA
[11,] -11.18   NA
[12,]     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/11mu01457171613.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/2bbcm1457171613.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/3g7cr1457171613.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/4xj3b1457171613.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]
[1,] 102.96 107.5 103.5 107.36 103.59 99.04 93.19 93.28 104.48 93.22 106.43
[2,] 102.96 107.5 103.5 107.36 103.59 99.04 93.19 93.28 104.48 93.22 106.43
[3,] 102.96 107.5 103.5 107.36 103.59 99.04 93.19 93.28 104.48 93.22 106.43
[4,] 102.96 107.5 103.5 107.36 103.59 99.04 93.19 93.28 104.48 93.22 106.43
[5,] 102.96 107.5 103.5 107.36 103.59 99.04 93.19 93.28 104.48 93.22 106.43
     [,12]
[1,] 95.25
[2,] 95.25
[3,] 95.25
[4,] 95.25
[5,] 95.25

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

$conf
       [,1]  [,2]  [,3]   [,4]   [,5]  [,6]  [,7]  [,8]   [,9] [,10]  [,11]
[1,] 102.96 107.5 103.5 107.36 103.59 99.04 93.19 93.28 104.48 93.22 106.43
[2,] 102.96 107.5 103.5 107.36 103.59 99.04 93.19 93.28 104.48 93.22 106.43
     [,12]
[1,] 95.25
[2,] 95.25

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/59q621457171613.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,] 4.54   -4 3.86 -3.77 -4.55 -5.85 0.09 11.2 -11.26 13.21 -11.18    NA
[2,] 4.54   -4 3.86 -3.77 -4.55 -5.85 0.09 11.2 -11.26 13.21 -11.18    NA
[3,] 4.54   -4 3.86 -3.77 -4.55 -5.85 0.09 11.2 -11.26 13.21 -11.18    NA
[4,] 4.54   -4 3.86 -3.77 -4.55 -5.85 0.09 11.2 -11.26 13.21 -11.18    NA
[5,] 4.54   -4 3.86 -3.77 -4.55 -5.85 0.09 11.2 -11.26 13.21 -11.18    NA

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

$conf
     [,1] [,2] [,3]  [,4]  [,5]  [,6] [,7] [,8]   [,9] [,10]  [,11] [,12]
[1,] 4.54   -4 3.86 -3.77 -4.55 -5.85 0.09 11.2 -11.26 13.21 -11.18    NA
[2,] 4.54   -4 3.86 -3.77 -4.55 -5.85 0.09 11.2 -11.26 13.21 -11.18    NA

$out
numeric(0)

$group
numeric(0)

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

> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6y7a81457171613.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]
[1,]  93.190   NA
[2,]  94.265   NA
[3,] 103.230   NA
[4,] 105.455   NA
[5,] 107.500   NA

$n
[1] 12  0

$conf
          [,1] [,2]
[1,]  98.12617   NA
[2,] 108.33383   NA

$out
numeric(0)

$group
numeric(0)

$names
[1] "1" NA 

Warning message:
In bxp(list(stats = c(93.19, 94.265, 103.23, 105.455, 107.5, NA,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/70jpp1457171613.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,]  93.190  93.190  93.190
[2,]  94.265  94.265  94.265
[3,] 103.230 103.230 103.230
[4,] 105.455 105.455 105.455
[5,] 107.500 107.500 107.500

$n
[1] 12 12 12

$conf
          [,1]      [,2]      [,3]
[1,]  98.12617  98.12617  98.12617
[2,] 108.33383 108.33383 108.33383

$out
numeric(0)

$group
numeric(0)

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

Warning message:
In bxp(list(stats = c(93.19, 94.265, 103.23, 105.455, 107.5, 93.19,  :
  some notches went outside hinges ('box'): maybe set notch=FALSE
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/11mu01457171613.ps tmp/11mu01457171613.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bbcm1457171613.ps tmp/2bbcm1457171613.png",intern=TRUE))
character(0)
> try(system("convert tmp/3g7cr1457171613.ps tmp/3g7cr1457171613.png",intern=TRUE))
character(0)
> try(system("convert tmp/4xj3b1457171613.ps tmp/4xj3b1457171613.png",intern=TRUE))
character(0)
> try(system("convert tmp/59q621457171613.ps tmp/59q621457171613.png",intern=TRUE))
character(0)
> try(system("convert tmp/6y7a81457171613.ps tmp/6y7a81457171613.png",intern=TRUE))
character(0)
> try(system("convert tmp/70jpp1457171613.ps tmp/70jpp1457171613.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.399   0.372   2.800