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Type 'q()' to quit R. > x <- c(97.4,97,105.4,102.7,98.1,104.5,87.4,89.9,109.8,111.7,98.6,96.9,95.1,97,112.7,102.9,97.4,111.4,87.4,96.8,114.1,110.3,103.9,101.6,94.6,95.9,104.7,102.8,98.1,113.9,80.9,95.7,113.2,105.9,108.8,102.3,99,100.7,115.5,100.7,109.9,114.6,85.4,100.5,114.8,116.5,112.9,102,106,105.3,118.8,106.1,109.3,117.2,92.5,104.2,112.5,122.4,113.3) > 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] 59 > (np <- floor(n / par1)) [1] 4 > 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] 5 5 5 5 5 5 5 5 5 5 5 4 > arr [,1] [,2] [,3] [,4] [,5] [1,] 97.4 95.1 94.6 99.0 106.0 [2,] 97.0 97.0 95.9 100.7 105.3 [3,] 105.4 112.7 104.7 115.5 118.8 [4,] 102.7 102.9 102.8 100.7 106.1 [5,] 98.1 97.4 98.1 109.9 109.3 [6,] 104.5 111.4 113.9 114.6 117.2 [7,] 87.4 87.4 80.9 85.4 92.5 [8,] 89.9 96.8 95.7 100.5 104.2 [9,] 109.8 114.1 113.2 114.8 112.5 [10,] 111.7 110.3 105.9 116.5 122.4 [11,] 98.6 103.9 108.8 112.9 113.3 [12,] 96.9 101.6 102.3 102.0 NA > darr [,1] [,2] [,3] [,4] [,5] [1,] -0.4 1.9 1.3 1.7 -0.7 [2,] 8.4 15.7 8.8 14.8 13.5 [3,] -2.7 -9.8 -1.9 -14.8 -12.7 [4,] -4.6 -5.5 -4.7 9.2 3.2 [5,] 6.4 14.0 15.8 4.7 7.9 [6,] -17.1 -24.0 -33.0 -29.2 -24.7 [7,] 2.5 9.4 14.8 15.1 11.7 [8,] 19.9 17.3 17.5 14.3 8.3 [9,] 1.9 -3.8 -7.3 1.7 9.9 [10,] -13.1 -6.4 2.9 -3.6 -9.1 [11,] -1.7 -2.3 -6.5 -10.9 NA [12,] -1.8 -7.0 -3.3 4.0 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/17scs1258288242.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/2c2a71258288242.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/31nju1258288242.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/4x7o31258288242.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,] 94.6 95.9 104.7 102.7 97.4 111.4 85.4 89.9 112.5 105.9 98.6 96.90 [2,] 95.1 97.0 105.4 102.7 98.1 111.4 85.4 95.7 112.5 110.3 103.9 99.25 [3,] 97.4 97.0 112.7 102.8 98.1 113.9 87.4 96.8 113.2 111.7 108.8 101.80 [4,] 99.0 100.7 115.5 102.9 109.3 114.6 87.4 100.5 114.1 116.5 112.9 102.15 [5,] 99.0 105.3 118.8 102.9 109.9 117.2 87.4 104.2 114.8 122.4 113.3 102.30 $n [1] 5 5 5 5 5 5 5 5 5 5 5 4 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 94.64427 94.38559 105.5634 102.6587 90.1861 111.6389 85.9868 93.40833 [2,] 100.15573 99.61441 119.8366 102.9413 106.0139 116.1611 88.8132 100.19167 [,9] [,10] [,11] [,12] [1,] 112.0694 107.3191 102.4406 99.509 [2,] 114.3306 116.0809 115.1594 104.091 $out [1] 106.0 100.7 106.1 104.5 80.9 92.5 109.8 $group [1] 1 4 4 6 7 7 9 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(94.6, 95.1, 97.4, 99, 99, 95.9, 97, 97, 100.7, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/59jzn1258288242.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,] -0.7 8.4 -14.8 -5.5 4.7 -33.0 2.5 14.3 -7.3 -13.1 -10.9 -7.00 [2,] -0.4 8.8 -12.7 -4.7 6.4 -29.2 9.4 14.3 -3.8 -9.1 -8.7 -5.15 [3,] 1.3 13.5 -9.8 -4.6 7.9 -24.7 11.7 17.3 1.7 -6.4 -4.4 -2.55 [4,] 1.7 14.8 -2.7 3.2 14.0 -24.0 14.8 17.5 1.9 -3.6 -2.0 1.10 [5,] 1.9 15.7 -1.9 9.2 15.8 -17.1 15.1 19.9 9.9 2.9 -1.7 4.00 $n [1] 5 5 5 5 5 5 5 5 5 5 4 4 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -0.1838547 9.260415 -16.865975 -10.1821201 2.529859 -28.37431 7.884374 [2,] 2.7838547 17.739585 -2.734025 0.9821201 13.270141 -21.02569 15.515626 [,8] [,9] [,10] [,11] [,12] [1,] 15.03889 -2.327606 -10.286286 -9.693 -7.4875 [2,] 19.56111 5.727606 -2.513714 0.893 2.3875 $out [1] 8.3 $group [1] 8 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(-0.700000000000003, -0.400000000000006, 1.30000000000001, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/6fbll1258288242.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] [1,] 87.40 87.40 80.90 85.40 92.50 [2,] 96.95 96.90 95.80 100.60 105.65 [3,] 98.35 102.25 102.55 105.95 109.30 [4,] 104.95 110.85 107.35 114.70 115.25 [5,] 111.70 114.10 113.90 116.50 122.40 $n [1] 12 12 12 12 11 $conf [,1] [,2] [,3] [,4] [,5] [1,] 94.70115 95.88731 97.28197 99.5189 104.7267 [2,] 101.99885 108.61269 107.81803 112.3811 113.8733 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" NA Warning message: In bxp(list(stats = c(87.4, 96.95, 98.35, 104.95, 111.7, 87.4, 96.9, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/7sf441258288242.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,] 86.72 87.4 86.400 [2,] 98.80 97.2 98.475 [3,] 102.80 102.3 103.250 [4,] 111.87 112.2 111.725 [5,] 113.36 113.9 113.400 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 96.83869 95.4584 97.20659 [2,] 108.76131 109.1416 109.29341 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(86.72, 98.8, 102.8, 111.87, 113.36, 87.4, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > system("convert tmp/17scs1258288242.ps tmp/17scs1258288242.png") > system("convert tmp/2c2a71258288242.ps tmp/2c2a71258288242.png") > system("convert tmp/31nju1258288242.ps tmp/31nju1258288242.png") > system("convert tmp/4x7o31258288242.ps tmp/4x7o31258288242.png") > system("convert tmp/59jzn1258288242.ps tmp/59jzn1258288242.png") > system("convert tmp/6fbll1258288242.ps tmp/6fbll1258288242.png") > system("convert tmp/7sf441258288242.ps tmp/7sf441258288242.png") > > > proc.time() user system elapsed 1.170 0.926 1.489