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Type 'q()' to quit R. > x <- c(19.31,19.47,19.7,19.76,19.9,19.97,20.1,20.26,20.44,20.43,20.57,20.6,20.69,20.93,20.98,21.11,21.14,21.16,21.32,21.32,21.48,21.58,21.74,21.75,21.81,21.89,22.21,22.37,22.47,22.51,22.55,22.61,22.58,22.85,22.93,22.98,23.01,23.11,23.18,23.18,23.21,23.22,23.12,23.15,23.16,23.21,23.21,23.22,23.25,23.39,23.41,23.45,23.46,23.44,23.54,23.62,23.86,24.07,24.13,24.12,24.17,24.23,24.28,24.12,24.14,24.17,24.2,24.36,24.34,24.38,24.46,24.6,24.63,24.75,24.64,24.69,24.7,24.74,24.87,24.92,24.94,24.98,25.13,25.15) > 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,] 19.31 20.69 21.81 23.01 23.25 24.17 24.63 NA [2,] 19.47 20.93 21.89 23.11 23.39 24.23 24.75 NA [3,] 19.70 20.98 22.21 23.18 23.41 24.28 24.64 NA [4,] 19.76 21.11 22.37 23.18 23.45 24.12 24.69 NA [5,] 19.90 21.14 22.47 23.21 23.46 24.14 24.70 NA [6,] 19.97 21.16 22.51 23.22 23.44 24.17 24.74 NA [7,] 20.10 21.32 22.55 23.12 23.54 24.20 24.87 NA [8,] 20.26 21.32 22.61 23.15 23.62 24.36 24.92 NA [9,] 20.44 21.48 22.58 23.16 23.86 24.34 24.94 NA [10,] 20.43 21.58 22.85 23.21 24.07 24.38 24.98 NA [11,] 20.57 21.74 22.93 23.21 24.13 24.46 25.13 NA [12,] 20.60 21.75 22.98 23.22 24.12 24.60 25.15 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/10pya1386174946.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/2s3pw1386174946.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/3pftx1386174946.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/4tazg1386174946.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,] 19.31 19.47 19.700 19.760 19.900 19.970 20.100 20.260 20.44 20.430 20.570 [2,] 21.25 21.41 21.595 21.740 21.805 21.835 21.935 21.965 22.03 22.215 22.335 [3,] 23.01 23.11 23.180 23.180 23.210 23.220 23.120 23.150 23.16 23.210 23.210 [4,] 23.71 23.81 23.845 23.785 23.800 23.805 23.870 23.990 24.10 24.225 24.295 [5,] 24.63 24.75 24.640 24.690 24.700 24.740 24.870 24.920 24.94 24.980 25.130 [,12] [1,] 20.600 [2,] 22.365 [3,] 23.220 [4,] 24.360 [5,] 25.150 $n [1] 7 7 7 7 7 7 7 7 7 7 7 7 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 21.54093 21.67676 21.83634 21.95876 22.01862 22.04355 21.96445 21.9407 [2,] 24.47907 24.54324 24.52366 24.40124 24.40138 24.39645 24.27555 24.3593 [,9] [,10] [,11] [,12] [1,] 21.92383 22.00966 22.03952 22.02862 [2,] 24.39617 24.41034 24.38048 24.41138 $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(19.31, 21.25, 23.01, 23.71, 24.63, 19.47, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/5sc1b1386174946.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,] 19.310 20.690 21.81 23.110 23.250 24.120 24.630 NA [2,] 19.730 21.045 22.29 23.135 23.425 24.170 24.695 NA [3,] 20.035 21.240 22.53 23.180 23.500 24.255 24.810 NA [4,] 20.435 21.530 22.73 23.210 23.965 24.370 24.960 NA [5,] 20.600 21.750 22.98 23.220 24.130 24.600 25.150 NA $n [1] 12 12 12 12 12 12 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 19.71344 21.01879 22.32931 23.14579 23.2537 24.16378 24.68913 NA [2,] 20.35656 21.46121 22.73069 23.21421 23.7463 24.34622 24.93087 NA $out [1] 23.01 $group [1] 4 $names [1] "1" "2" "3" "4" "5" "6" "7" NA Warning message: In bxp(list(stats = c(19.31, 19.73, 20.035, 20.435, 20.6, 20.69, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/6jc531386174946.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,] 1.596420 4.500 1.9350 [2,] 1.610951 4.555 1.9825 [3,] 1.668869 4.770 2.0175 [4,] 1.760493 4.935 2.1600 [5,] 1.915724 5.320 2.4000 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 1.600661 4.596679 1.936541 [2,] 1.737076 4.943321 2.098459 $out [1] 2.46 $group [1] 3 $names [1] "S.D." "Range" "IQR" Warning message: In bxp(list(stats = c(1.59642010224663, 1.61095068906576, 1.66886867504425, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/10pya1386174946.ps tmp/10pya1386174946.png",intern=TRUE)) character(0) > try(system("convert tmp/2s3pw1386174946.ps tmp/2s3pw1386174946.png",intern=TRUE)) character(0) > try(system("convert tmp/3pftx1386174946.ps tmp/3pftx1386174946.png",intern=TRUE)) character(0) > try(system("convert tmp/4tazg1386174946.ps tmp/4tazg1386174946.png",intern=TRUE)) character(0) > try(system("convert tmp/5sc1b1386174946.ps tmp/5sc1b1386174946.png",intern=TRUE)) character(0) > try(system("convert tmp/6jc531386174946.ps tmp/6jc531386174946.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 8.396 2.144 10.607