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Type 'q()' to quit R. > x <- c(102.43,102.43,102.43,102.43,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,104.2,108.1,109.2,109.2,109.2,109.2,109.2,109.2,109.2,109.2,109.2,109.2,109.2,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,112.1,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,114.81,115.57,115.57,115.57,115.57,115.57,115.57,115.57,115.57,115.57,115.57,115.57,117.3,117.3,118.39,118.39,118.39,118.39,118.39,118.39,118.39,118.39,118.39,118.39,121.18,123.21,123.21,123.21,123.21,123.21,123.21,123.21,123.21) > 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,] 102.43 104.2 109.2 112.10 114.81 115.57 118.39 NA [2,] 102.43 104.2 109.2 112.10 114.81 115.57 118.39 NA [3,] 102.43 104.2 109.2 112.10 114.81 115.57 118.39 NA [4,] 102.43 104.2 109.2 112.10 114.81 117.30 121.18 NA [5,] 104.20 108.1 112.1 114.81 115.57 117.30 123.21 NA [6,] 104.20 109.2 112.1 114.81 115.57 118.39 123.21 NA [7,] 104.20 109.2 112.1 114.81 115.57 118.39 123.21 NA [8,] 104.20 109.2 112.1 114.81 115.57 118.39 123.21 NA [9,] 104.20 109.2 112.1 114.81 115.57 118.39 123.21 NA [10,] 104.20 109.2 112.1 114.81 115.57 118.39 123.21 NA [11,] 104.20 109.2 112.1 114.81 115.57 118.39 123.21 NA [12,] 104.20 109.2 112.1 114.81 115.57 118.39 123.21 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/1ayp41386090918.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/28e611386090918.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/3xab71386090918.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/4kbsq1386090918.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] [1,] 102.43 102.43 102.43 102.430 104.200 104.20 104.20 104.20 104.20 104.20 [2,] 106.70 106.70 106.70 106.700 110.100 110.65 110.65 110.65 110.65 110.65 [3,] 112.10 112.10 112.10 112.100 114.810 114.81 114.81 114.81 114.81 114.81 [4,] 115.19 115.19 115.19 116.055 116.435 116.98 116.98 116.98 116.98 116.98 [5,] 118.39 118.39 118.39 121.180 123.210 123.21 123.21 123.21 123.21 123.21 [,11] [,12] [1,] 104.20 104.20 [2,] 110.65 110.65 [3,] 114.81 114.81 [4,] 116.98 116.98 [5,] 123.21 123.21 $n [1] 7 7 7 7 7 7 7 7 7 7 7 7 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 107.0299 107.0299 107.0299 106.5133 111.0268 111.0298 111.0298 111.0298 [2,] 117.1701 117.1701 117.1701 117.6867 118.5932 118.5902 118.5902 118.5902 [,9] [,10] [,11] [,12] [1,] 111.0298 111.0298 111.0298 111.0298 [2,] 118.5902 118.5902 118.5902 118.5902 $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(102.43, 106.7, 112.1, 115.19, 118.39, 102.43, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/50kfy1386090918.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,] 102.43 104.2 109.2 112.10 114.81 115.570 118.390 NA [2,] 102.43 104.2 109.2 112.10 114.81 116.435 119.785 NA [3,] 104.20 109.2 112.1 114.81 115.57 118.390 123.210 NA [4,] 104.20 109.2 112.1 114.81 115.57 118.390 123.210 NA [5,] 104.20 109.2 112.1 114.81 115.57 118.390 123.210 NA $n [1] 12 12 12 12 12 12 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 103.3927 106.9195 110.7773 113.574 115.2234 117.4983 121.6478 NA [2,] 105.0073 111.4805 113.4227 116.046 115.9166 119.2817 124.7722 NA $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" NA Warning message: In bxp(list(stats = c(102.43, 102.43, 104.2, 104.2, 104.2, 104.2, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/65seu1386090918.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,] 5.974043 15.960 6.330 [2,] 6.081833 17.355 6.330 [3,] 6.189623 19.010 6.330 [4,] 6.189623 19.010 8.490 [5,] 6.221548 19.010 9.355 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 6.140459 18.25514 5.34481 [2,] 6.238786 19.76486 7.31519 $out [1] 6.824336 $group [1] 1 $names [1] "S.D." "Range" "IQR" Warning message: In bxp(list(stats = c(5.97404305945232, 6.08183285561618, 6.18962265178004, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1ayp41386090918.ps tmp/1ayp41386090918.png",intern=TRUE)) character(0) > try(system("convert tmp/28e611386090918.ps tmp/28e611386090918.png",intern=TRUE)) character(0) > try(system("convert tmp/3xab71386090918.ps tmp/3xab71386090918.png",intern=TRUE)) character(0) > try(system("convert tmp/4kbsq1386090918.ps tmp/4kbsq1386090918.png",intern=TRUE)) character(0) > try(system("convert tmp/50kfy1386090918.ps tmp/50kfy1386090918.png",intern=TRUE)) character(0) > try(system("convert tmp/65seu1386090918.ps tmp/65seu1386090918.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 5.225 1.086 6.253