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Type 'q()' to quit R. > x <- c(8.16,8.43,8.43,8.43,8.43,8.43,8.43,8.43,8.43,8.43,8.43,8.43,8.43,8.43,8.68,8.68,8.68,8.68,8.68,8.68,8.68,8.68,8.68,8.68,8.68,8.68,8.92,8.92,8.92,8.92,8.92,8.92,8.92,8.92,8.92,8.92,8.92,8.92,9.3,9.3,9.3,9.3,9.3,9.3,9.3,9.3,9.3,9.3,9.3,9.3,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.6,9.9,9.9,9.9,9.9,9.9,9.9,9.9,9.9,9.9,9.9,9.9,9.9,10.2,10.2,10.2,10.2,10.2,10.2,10.2,10.2,10.2,10.2,10.2) > par1 = '12' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > par1 <- as.numeric(par1) > (n <- length(x)) [1] 85 > (np <- floor(n / par1)) [1] 7 > 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] 8 7 7 7 7 7 7 7 7 7 7 7 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 8.16 8.43 8.68 8.92 9.3 9.6 9.9 10.2 [2,] 8.43 8.43 8.68 8.92 9.3 9.6 9.9 NA [3,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [4,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [5,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [6,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [7,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [8,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [9,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [10,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [11,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA [12,] 8.43 8.68 8.92 9.30 9.6 9.9 10.2 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 0.27 0.00 0.00 0.00 0.0 0.0 0.0 NA [2,] 0.00 0.25 0.24 0.38 0.3 0.3 0.3 NA [3,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [4,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [5,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [6,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [7,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [8,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [9,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [10,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [11,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 NA [12,] 0.00 0.00 0.00 0.00 0.0 0.0 0.0 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/www/html/rcomp/tmp/1pwzc1209299193.ps",horizontal=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/www/html/rcomp/tmp/2zqbv1209299193.ps",horizontal=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/www/html/rcomp/tmp/3imih1209299193.ps",horizontal=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/www/html/rcomp/tmp/45pm61209299193.ps",horizontal=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] [,12] [1,] 8.160 8.430 8.43 8.43 8.43 8.43 8.43 8.43 8.43 8.43 8.43 8.43 [2,] 8.555 8.555 8.80 8.80 8.80 8.80 8.80 8.80 8.80 8.80 8.80 8.80 [3,] 9.110 8.920 9.30 9.30 9.30 9.30 9.30 9.30 9.30 9.30 9.30 9.30 [4,] 9.750 9.450 9.75 9.75 9.75 9.75 9.75 9.75 9.75 9.75 9.75 9.75 [5,] 10.200 9.900 10.20 10.20 10.20 10.20 10.20 10.20 10.20 10.20 10.20 10.20 $n [1] 8 7 7 7 7 7 7 7 7 7 7 7 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 8.442456 8.38552 8.732675 8.732675 8.732675 8.732675 8.732675 8.732675 [2,] 9.777544 9.45448 9.867325 9.867325 9.867325 9.867325 9.867325 9.867325 [,9] [,10] [,11] [,12] [1,] 8.732675 8.732675 8.732675 8.732675 [2,] 9.867325 9.867325 9.867325 9.867325 $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(8.16, 8.555, 9.11, 9.75, 10.2, 8.43, 8.555, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/50vw21209299193.ps",horizontal=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,] 0 0.240 0 0 0 0 0 0 0 0 0 0 [2,] 0 0.245 0 0 0 0 0 0 0 0 0 0 [3,] 0 0.300 0 0 0 0 0 0 0 0 0 0 [4,] 0 0.300 0 0 0 0 0 0 0 0 0 0 [5,] 0 0.380 0 0 0 0 0 0 0 0 0 0 $n [1] 7 7 7 7 7 7 7 7 7 7 7 7 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 0 0.2671549 0 0 0 0 0 0 0 0 0 0 [2,] 0 0.3328451 0 0 0 0 0 0 0 0 0 0 $out [1] 0.27 0.00 $group [1] 1 2 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(0, 0, 0, 0, 0, 0.24, 0.245, 0.299999999999999, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/67zyt1209299193.ps",horizontal=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,] 8.43 8.68 8.92 9.3 9.6 9.9 10.2 10.2 [2,] 8.43 8.68 8.92 9.3 9.6 9.9 10.2 10.2 [3,] 8.43 8.68 8.92 9.3 9.6 9.9 10.2 10.2 [4,] 8.43 8.68 8.92 9.3 9.6 9.9 10.2 10.2 [5,] 8.43 8.68 8.92 9.3 9.6 9.9 10.2 10.2 $n [1] 12 12 12 12 12 12 12 1 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 8.43 8.68 8.92 9.3 9.6 9.9 10.2 10.2 [2,] 8.43 8.68 8.92 9.3 9.6 9.9 10.2 10.2 $out [1] 8.16 8.43 8.43 8.68 8.68 8.92 8.92 9.30 9.30 9.60 9.60 9.90 9.90 $group [1] 1 2 2 3 3 4 4 5 5 6 6 7 7 $names [1] "1" "2" "3" "4" "5" "6" "7" NA > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7no731209299193.ps",horizontal=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,] 9.29 9.3 9.275 [2,] 9.29 9.3 9.275 [3,] 9.29 9.3 9.275 [4,] 9.29 9.3 9.275 [5,] 9.29 9.3 9.275 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 9.29 9.3 9.275 [2,] 9.29 9.3 9.275 $out [1] 9.148750 9.037143 9.110000 8.920000 9.146250 9.002500 $group [1] 1 1 2 2 3 3 $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > system("convert tmp/1pwzc1209299193.ps tmp/1pwzc1209299193.png") > system("convert tmp/2zqbv1209299193.ps tmp/2zqbv1209299193.png") > system("convert tmp/3imih1209299193.ps tmp/3imih1209299193.png") > system("convert tmp/45pm61209299193.ps tmp/45pm61209299193.png") > system("convert tmp/50vw21209299193.ps tmp/50vw21209299193.png") > system("convert tmp/67zyt1209299193.ps tmp/67zyt1209299193.png") > system("convert tmp/7no731209299193.ps tmp/7no731209299193.png") > > > proc.time() user system elapsed 1.435 0.942 3.537