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Type 'q()' to quit R. > x <- c(99.42,99.42,99.42,99.42,99.42,109.26,110.00,110.00,109.26,100.07,100.07,100.05,100.05,100.05,100.05,100.05,100.05,108.77,111.32,111.60,108.52,103.13,102.87,102.75,102.75,102.75,102.75,102.75,102.75,115.22,115.53,115.40,111.99,107.93,107.43,106.98,106.98,106.98,106.98,106.98,106.98,113.71,118.77,118.54,116.16,110.52,110.06,109.90,109.90,110.72,110.09,110.07,112.45,113.06,119.83,119.84,113.73,110.50,110.12,109.86,110.36,110.36,110.59,112.52,112.10,115.90,122.96,121.26,114.55,111.57,110.65,109.77) > 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] 72 > (np <- floor(n / par1)) [1] 6 > 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 6 6 6 6 6 6 6 6 6 6 6 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 99.42 100.05 102.75 106.98 109.90 110.36 NA [2,] 99.42 100.05 102.75 106.98 110.72 110.36 NA [3,] 99.42 100.05 102.75 106.98 110.09 110.59 NA [4,] 99.42 100.05 102.75 106.98 110.07 112.52 NA [5,] 99.42 100.05 102.75 106.98 112.45 112.10 NA [6,] 109.26 108.77 115.22 113.71 113.06 115.90 NA [7,] 110.00 111.32 115.53 118.77 119.83 122.96 NA [8,] 110.00 111.60 115.40 118.54 119.84 121.26 NA [9,] 109.26 108.52 111.99 116.16 113.73 114.55 NA [10,] 100.07 103.13 107.93 110.52 110.50 111.57 NA [11,] 100.07 102.87 107.43 110.06 110.12 110.65 NA [12,] 100.05 102.75 106.98 109.90 109.86 109.77 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/1tws61355397050.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/2hown1355397050.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/3g8cm1355397050.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/41n5x1355397050.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,] 99.420 99.420 99.420 99.420 99.420 108.770 110.00 110.00 108.52 [2,] 100.050 100.050 100.050 100.050 100.050 109.260 111.32 111.60 109.26 [3,] 104.865 104.865 104.865 104.865 104.865 113.385 117.15 116.97 112.86 [4,] 109.900 110.360 110.090 110.070 112.100 115.220 119.83 119.84 114.55 [5,] 110.360 110.720 110.590 112.520 112.450 115.900 122.96 121.26 116.16 [,10] [,11] [,12] [1,] 100.070 100.070 100.050 [2,] 103.130 102.870 102.750 [3,] 109.215 108.745 108.375 [4,] 110.520 110.120 109.860 [5,] 111.570 110.650 109.900 $n [1] 6 6 6 6 6 6 6 6 6 6 6 6 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 98.51143 98.21472 98.38888 98.40178 97.09236 109.5406 111.6608 [2,] 111.21857 111.51528 111.34112 111.32822 112.63764 117.2294 122.6392 [,8] [,9] [,10] [,11] [,12] [1,] 111.6549 109.4478 104.4482 104.0685 103.7888 [2,] 122.2851 116.2722 113.9818 113.4215 112.9612 $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(99.42, 100.05, 104.865, 109.9, 110.36, 99.42, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/5008g1355397050.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,] 99.42 100.050 102.750 106.980 109.860 109.770 NA [2,] 99.42 100.050 102.750 106.980 110.080 110.475 NA [3,] 100.06 102.810 107.205 109.980 110.610 111.835 NA [4,] 109.26 108.645 113.605 114.935 113.395 115.225 NA [5,] 110.00 111.600 115.530 118.770 113.730 121.260 NA $n [1] 12 12 12 12 12 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 95.57191 98.88976 102.254 106.3517 109.098 109.6685 NA [2,] 104.54809 106.73024 112.156 113.6083 112.122 114.0015 NA $out [1] 119.83 119.84 122.96 $group [1] 5 5 6 $names [1] "1" "2" "3" "4" "5" "6" NA Warning message: In bxp(list(stats = c(99.42, 99.42, 100.06, 109.26, 110, 100.05, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/63w621355397050.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,] 4.228992 7.640 4.40250 [2,] 4.323348 10.215 6.06250 [3,] 4.755349 11.215 7.07875 [4,] 5.039761 12.230 8.58000 [5,] 5.799837 13.100 10.09500 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 4.428588 10.29594 5.930501 [2,] 5.082110 12.13406 8.226999 $out [1] 3.000184 3.020102 7.130000 $group [1] 1 1 2 $names [1] "S.D." "Range" "IQR" Warning message: In bxp(list(stats = c(4.22899239378208, 4.32334808569361, 4.75534928837946, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1tws61355397050.ps tmp/1tws61355397050.png",intern=TRUE)) character(0) > try(system("convert tmp/2hown1355397050.ps tmp/2hown1355397050.png",intern=TRUE)) character(0) > try(system("convert tmp/3g8cm1355397050.ps tmp/3g8cm1355397050.png",intern=TRUE)) character(0) > try(system("convert tmp/41n5x1355397050.ps tmp/41n5x1355397050.png",intern=TRUE)) character(0) > try(system("convert tmp/5008g1355397050.ps tmp/5008g1355397050.png",intern=TRUE)) character(0) > try(system("convert tmp/63w621355397050.ps tmp/63w621355397050.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.465 0.918 4.374