R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i686-pc-linux-gnu (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(414.89 + ,444.50 + ,481.29 + ,491.09 + ,419.70 + ,432.88 + ,438.01 + ,412.84 + ,402.91 + ,416.20 + ,411.80 + ,393.60 + ,381.70 + ,388.34 + ,370.89 + ,385.96 + ,394.26 + ,381.37 + ,377.40 + ,377.70 + ,347.71 + ,347.70 + ,340.20 + ,341.00 + ,342.00 + ,319.54 + ,302.79 + ,299.10 + ,313.50 + ,326.80 + ,316.00 + ,316.50 + ,317.20 + ,330.40 + ,323.35 + ,325.85 + ,321.50 + ,321.90 + ,347.48 + ,338.89 + ,345.70 + ,340.44 + ,342.40 + ,342.70 + ,348.34 + ,376.66 + ,417.73 + ,423.51 + ,397.56 + ,390.92 + ,408.26 + ,401.12 + ,408.91 + ,438.35 + ,460.23 + ,449.59 + ,450.52 + ,461.15 + ,460.38 + ,465.35 + ,467.57 + ,486.24 + ,476.58 + ,442.07 + ,443.61 + ,451.55 + ,451.07 + ,451.33 + ,437.63 + ,431.28 + ,413.46 + ,406.78 + ,420.17 + ,419.05 + ,404.01 + ,387.51 + ,390.15 + ,384.40 + ,371.05 + ,367.60 + ,375.04 + ,365.14 + ,361.75 + ,366.88 + ,394.26 + ,409.39 + ,410.11 + ,416.81 + ,393.06 + ,374.24 + ,369.05 + ,352.33 + ,362.53 + ,394.73 + ,389.32 + ,380.74 + ,381.73 + ,376.95 + ,383.64 + ,363.83 + ,363.34 + ,358.38 + ,356.95 + ,366.72 + ,367.69 + ,356.31 + ,348.74 + ,358.69 + ,360.17 + ,361.73 + ,354.45 + ,353.91 + ,344.34 + ,338.62 + ,337.24 + ,340.81 + ,352.72 + ,343.06 + ,345.43 + ,344.38 + ,335.02 + ,334.82 + ,329.01 + ,329.31 + ,330.08 + ,342.15 + ,367.18 + ,371.89 + ,392.19 + ,378.84 + ,355.28 + ,364.18 + ,373.83 + ,383.30 + ,386.88 + ,381.91 + ,384.13 + ,377.27 + ,381.43 + ,385.64 + ,385.49 + ,380.36 + ,391.58 + ,389.77 + ,384.39 + ,379.29 + ,378.55 + ,376.64 + ,382.12 + ,391.03 + ,385.22 + ,387.56 + ,386.23 + ,383.67 + ,383.06 + ,383.14 + ,385.31 + ,387.44 + ,399.45 + ,404.76 + ,396.21 + ,392.85 + ,391.93 + ,385.27 + ,383.47 + ,387.35 + ,383.14 + ,381.07 + ,377.85 + ,369.00 + ,355.11 + ,346.58 + ,351.81 + ,344.47 + ,343.84 + ,340.76 + ,324.10 + ,324.01 + ,322.82 + ,324.87 + ,306.04 + ,288.74 + ,289.10 + ,297.49 + ,295.94 + ,308.29 + ,299.10 + ,292.32 + ,292.87 + ,284.11 + ,288.98 + ,295.93 + ,294.12 + ,291.68 + ,287.08 + ,287.33 + ,285.96 + ,282.62 + ,276.44 + ,261.31 + ,256.08 + ,256.69 + ,264.74 + ,310.72 + ,293.18 + ,283.07 + ,284.32 + ,299.86 + ,286.39 + ,279.69 + ,275.19 + ,285.73 + ,281.59 + ,274.47 + ,273.68 + ,270.00 + ,266.01 + ,271.45 + ,265.49 + ,261.87 + ,263.03 + ,260.48 + ,272.36 + ,270.23 + ,267.53 + ,272.39 + ,283.42 + ,283.06 + ,276.16 + ,275.85 + ,281.51 + ,295.50 + ,294.06 + ,302.68 + ,314.49 + ,321.18 + ,313.29 + ,310.26 + ,319.14 + ,316.56 + ,319.07 + ,331.92 + ,356.86 + ,358.97 + ,340.55 + ,328.18 + ,355.68 + ,356.35 + ,351.02 + ,359.77 + ,378.95 + ,378.92 + ,389.91 + ,406.95 + ,413.79 + ,404.88 + ,406.67 + ,403.26 + ,383.78 + ,392.37 + ,398.09 + ,400.51 + ,405.28 + ,420.46 + ,439.38 + ,442.08 + ,424.03 + ,423.35 + ,433.85 + ,429.23 + ,421.87 + ,430.66 + ,424.48 + ,437.93 + ,456.05 + ,469.90 + ,476.67 + ,510.10 + ,549.86 + ,555.00 + ,557.09 + ,610.65 + ,675.39 + ,596.15 + ,633.71 + ,632.59 + ,598.19 + ,585.78 + ,627.83 + ,629.79 + ,631.17 + ,664.75 + ,654.90 + ,679.37 + ,667.31 + ,655.66 + ,665.38 + ,665.41 + ,712.65 + ,754.60 + ,806.25 + ,803.20 + ,889.60 + ,922.30 + ,968.43 + ,909.71 + ,888.66 + ,889.49 + ,939.77 + ,839.03 + ,829.93 + ,806.62 + ,760.86 + ,816.09 + ,858.69 + ,943.00 + ,924.27 + ,890.20 + ,928.65 + ,945.67 + ,934.23 + ,949.38 + ,996.59 + ,1043.16 + ,1127.04 + ,1134.72 + ,1117.96 + ,1095.41 + ,1113.34 + ,1148.69 + ,1205.43 + ,1232.92 + ,1192.97 + ,1215.81 + ,1270.98 + ,1342.02 + ,1369.89 + ,1390.55 + ,1356.40 + ,1372.73 + ,1424.00 + ,1479.76 + ,1512.60 + ,1528.66 + ,1572.21 + ,1757.21 + ,1770.95 + ,1665.21 + ,1738.11 + ,1641.84 + ,1652.21 + ,1742.14 + ,1673.77 + ,1649.69 + ,1591.19 + ,1598.76 + ,1589.90 + ,1630.31 + ,1744.81 + ,1746.58 + ,1721.64) > par1 = '12' > par1 <- '12' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Wessa P., (2012), Mean Plot (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_meanplot.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > # > par1 <- as.numeric(par1) > (n <- length(x)) [1] 361 > (np <- floor(n / par1)) [1] 30 > 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] 31 30 30 30 30 30 30 30 30 30 30 30 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 414.89 381.70 342.00 321.50 397.56 467.57 420.17 394.26 381.73 360.17 [2,] 444.50 388.34 319.54 321.90 390.92 486.24 419.05 409.39 376.95 361.73 [3,] 481.29 370.89 302.79 347.48 408.26 476.58 404.01 410.11 383.64 354.45 [4,] 491.09 385.96 299.10 338.89 401.12 442.07 387.51 416.81 363.83 353.91 [5,] 419.70 394.26 313.50 345.70 408.91 443.61 390.15 393.06 363.34 344.34 [6,] 432.88 381.37 326.80 340.44 438.35 451.55 384.40 374.24 358.38 338.62 [7,] 438.01 377.40 316.00 342.40 460.23 451.07 371.05 369.05 356.95 337.24 [8,] 412.84 377.70 316.50 342.70 449.59 451.33 367.60 352.33 366.72 340.81 [9,] 402.91 347.71 317.20 348.34 450.52 437.63 375.04 362.53 367.69 352.72 [10,] 416.20 347.70 330.40 376.66 461.15 431.28 365.14 394.73 356.31 343.06 [11,] 411.80 340.20 323.35 417.73 460.38 413.46 361.75 389.32 348.74 345.43 [12,] 393.60 341.00 325.85 423.51 465.35 406.78 366.88 380.74 358.69 344.38 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [1,] 335.02 373.83 384.39 385.31 377.85 306.04 294.12 293.18 266.01 276.16 [2,] 334.82 383.30 379.29 387.44 369.00 288.74 291.68 283.07 271.45 275.85 [3,] 329.01 386.88 378.55 399.45 355.11 289.10 287.08 284.32 265.49 281.51 [4,] 329.31 381.91 376.64 404.76 346.58 297.49 287.33 299.86 261.87 295.50 [5,] 330.08 384.13 382.12 396.21 351.81 295.94 285.96 286.39 263.03 294.06 [6,] 342.15 377.27 391.03 392.85 344.47 308.29 282.62 279.69 260.48 302.68 [7,] 367.18 381.43 385.22 391.93 343.84 299.10 276.44 275.19 272.36 314.49 [8,] 371.89 385.64 387.56 385.27 340.76 292.32 261.31 285.73 270.23 321.18 [9,] 392.19 385.49 386.23 383.47 324.10 292.87 256.08 281.59 267.53 313.29 [10,] 378.84 380.36 383.67 387.35 324.01 284.11 256.69 274.47 272.39 310.26 [11,] 355.28 391.58 383.06 383.14 322.82 288.98 264.74 273.68 283.42 319.14 [12,] 364.18 389.77 383.14 381.07 324.87 295.93 310.72 270.00 283.06 316.56 [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [1,] 319.07 389.91 439.38 476.67 627.83 806.25 760.86 1127.04 1369.89 1738.11 [2,] 331.92 406.95 442.08 510.10 629.79 803.20 816.09 1134.72 1390.55 1641.84 [3,] 356.86 413.79 424.03 549.86 631.17 889.60 858.69 1117.96 1356.40 1652.21 [4,] 358.97 404.88 423.35 555.00 664.75 922.30 943.00 1095.41 1372.73 1742.14 [5,] 340.55 406.67 433.85 557.09 654.90 968.43 924.27 1113.34 1424.00 1673.77 [6,] 328.18 403.26 429.23 610.65 679.37 909.71 890.20 1148.69 1479.76 1649.69 [7,] 355.68 383.78 421.87 675.39 667.31 888.66 928.65 1205.43 1512.60 1591.19 [8,] 356.35 392.37 430.66 596.15 655.66 889.49 945.67 1232.92 1528.66 1598.76 [9,] 351.02 398.09 424.48 633.71 665.38 939.77 934.23 1192.97 1572.21 1589.90 [10,] 359.77 400.51 437.93 632.59 665.41 839.03 949.38 1215.81 1757.21 1630.31 [11,] 378.95 405.28 456.05 598.19 712.65 829.93 996.59 1270.98 1770.95 1744.81 [12,] 378.92 420.46 469.90 585.78 754.60 806.62 1043.16 1342.02 1665.21 1746.58 [,31] [1,] 1721.64 [2,] NA [3,] NA [4,] NA [5,] NA [6,] NA [7,] NA [8,] NA [9,] NA [10,] NA [11,] NA [12,] NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 29.61 6.64 -22.46 0.40 -6.64 18.67 -1.12 15.13 -4.78 1.56 [2,] 36.79 -17.45 -16.75 25.58 17.34 -9.66 -15.04 0.72 6.69 -7.28 [3,] 9.80 15.07 -3.69 -8.59 -7.14 -34.51 -16.50 6.70 -19.81 -0.54 [4,] -71.39 8.30 14.40 6.81 7.79 1.54 2.64 -23.75 -0.49 -9.57 [5,] 13.18 -12.89 13.30 -5.26 29.44 7.94 -5.75 -18.82 -4.96 -5.72 [6,] 5.13 -3.97 -10.80 1.96 21.88 -0.48 -13.35 -5.19 -1.43 -1.38 [7,] -25.17 0.30 0.50 0.30 -10.64 0.26 -3.45 -16.72 9.77 3.57 [8,] -9.93 -29.99 0.70 5.64 0.93 -13.70 7.44 10.20 0.97 11.91 [9,] 13.29 -0.01 13.20 28.32 10.63 -6.35 -9.90 32.20 -11.38 -9.66 [10,] -4.40 -7.50 -7.05 41.07 -0.77 -17.82 -3.39 -5.41 -7.57 2.37 [11,] -18.20 0.80 2.50 5.78 4.97 -6.68 5.13 -8.58 9.95 -1.05 [12,] -11.90 1.00 -4.35 -25.95 2.22 13.39 27.38 0.99 1.48 -9.36 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] -0.20 9.47 -5.10 2.13 -8.85 -17.30 -2.44 -10.11 5.44 -0.31 12.85 [2,] -5.81 3.58 -0.74 12.01 -13.89 0.36 -4.60 1.25 -5.96 5.66 24.94 [3,] 0.30 -4.97 -1.91 5.31 -8.53 8.39 0.25 15.54 -3.62 13.99 2.11 [4,] 0.77 2.22 5.48 -8.55 5.23 -1.55 -1.37 -13.47 1.16 -1.44 -18.42 [5,] 12.07 -6.86 8.91 -3.36 -7.34 12.35 -3.34 -6.70 -2.55 8.62 -12.37 [6,] 25.03 4.16 -5.81 -0.92 -0.63 -9.19 -6.18 -4.50 11.88 11.81 27.50 [7,] 4.71 4.21 2.34 -6.66 -3.08 -6.78 -15.13 10.54 -2.13 6.69 0.67 [8,] 20.30 -0.15 -1.33 -1.80 -16.66 0.55 -5.23 -4.14 -2.70 -7.89 -5.33 [9,] -13.35 -5.13 -2.56 3.88 -0.09 -8.76 0.61 -7.12 4.86 -3.03 8.75 [10,] -23.56 11.22 -0.61 -4.21 -1.19 4.87 8.05 -0.79 11.03 8.88 19.18 [11,] 8.90 -1.81 0.08 -2.07 2.05 6.95 45.98 -3.68 -0.36 -2.58 -0.03 [12,] 9.65 -5.38 2.17 -3.22 -18.83 -1.81 -17.54 -3.99 -6.90 2.51 10.99 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] 17.04 2.70 33.43 1.96 -3.05 55.23 7.68 20.66 -96.27 NA [2,] 6.84 -18.05 39.76 1.38 86.40 42.60 -16.76 -34.15 10.37 NA [3,] -8.91 -0.68 5.14 33.58 32.70 84.31 -22.55 16.33 89.93 NA [4,] 1.79 10.50 2.09 -9.85 46.13 -18.73 17.93 51.27 -68.37 NA [5,] -3.41 -4.62 53.56 24.47 -58.72 -34.07 35.35 55.76 -24.08 NA [6,] -19.48 -7.36 64.74 -12.06 -21.05 38.45 56.74 32.84 -58.50 NA [7,] 8.59 8.79 -79.24 -11.65 0.83 17.02 27.49 16.06 7.57 NA [8,] 5.72 -6.18 37.56 9.72 50.28 -11.44 -39.95 43.55 -8.86 NA [9,] 2.42 13.45 -1.12 0.03 -100.74 15.15 22.84 185.00 40.41 NA [10,] 4.77 18.12 -34.40 47.24 -9.10 47.21 55.17 13.74 114.50 NA [11,] 15.18 13.85 -12.41 41.95 -23.31 46.57 71.04 -105.74 1.77 NA [12,] 18.92 6.77 42.05 51.65 -45.76 83.88 27.87 72.90 -24.94 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/fisher/rcomp/tmp/1p8wi1355659795.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/21rsa1355659795.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/3ipa51355659795.ps",horizontal=F,onefile=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/fisher/rcomp/tmp/47opv1355659795.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,] 266.01 271.45 265.490 261.870 263.030 260.480 272.360 261.310 256.08 [2,] 338.51 331.92 347.480 338.890 340.550 338.620 342.400 340.810 347.71 [3,] 385.31 387.89 393.165 386.735 391.605 382.885 379.415 381.485 384.48 [4,] 472.12 486.24 481.290 491.090 443.610 451.550 460.230 451.330 450.52 [5,] 627.83 629.79 631.170 664.750 557.090 610.650 460.230 596.150 450.52 [,10] [,11] [,12] [1,] 256.690 264.74 270.000 [2,] 343.060 340.20 341.000 [3,] 382.015 386.23 382.105 [4,] 461.150 460.38 469.900 [5,] 632.590 598.19 585.780 $n [1] 31 30 30 30 30 30 30 30 30 30 30 30 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 347.3946 343.3737 354.5652 342.8303 361.8756 350.3084 345.4249 349.6036 [2,] 423.2254 432.4063 431.7648 430.6397 421.3344 415.4616 413.4051 413.3664 [,9] [,10] [,11] [,12] [1,] 354.8227 347.9499 351.562 344.9216 [2,] 414.1373 416.0801 420.898 419.2884 $out [1] 806.25 760.86 1127.04 1369.89 1738.11 1721.64 803.20 816.09 1134.72 [10] 1390.55 1641.84 889.60 858.69 1117.96 1356.40 1652.21 922.30 943.00 [19] 1095.41 1372.73 1742.14 654.90 968.43 924.27 1113.34 1424.00 1673.77 [28] 679.37 909.71 890.20 1148.69 1479.76 1649.69 675.39 667.31 888.66 [37] 928.65 1205.43 1512.60 1591.19 655.66 889.49 945.67 1232.92 1528.66 [46] 1598.76 633.71 665.38 939.77 934.23 1192.97 1572.21 1589.90 665.41 [55] 839.03 949.38 1215.81 1757.21 1630.31 712.65 829.93 996.59 1270.98 [64] 1770.95 1744.81 754.60 806.62 1043.16 1342.02 1665.21 1746.58 $group [1] 1 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 5 5 [26] 5 5 6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 9 9 9 9 [51] 9 9 9 10 10 10 10 10 10 11 11 11 11 11 11 12 12 12 12 12 12 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/5ycvp1355659795.ps",horizontal=F,onefile=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] [1,] -22.46 -34.150 -34.510 -23.75 -34.070 -21.05 -25.170 -29.99 -13.35 -23.56 [2,] -4.78 -9.660 -7.140 -9.57 -6.860 -7.36 -6.660 -7.89 -6.35 -5.41 [3,] 1.76 0.985 0.275 1.35 -3.385 -1.15 0.585 -0.74 0.32 0.88 [4,] 12.85 12.010 13.990 6.81 12.350 11.88 7.570 7.44 13.29 13.74 [5,] 33.43 42.600 33.580 17.93 35.350 38.45 27.490 20.30 40.41 41.07 [,11] [,12] [1,] -18.200 -25.95 [2,] -2.580 -6.90 [3,] 1.285 1.24 [4,] 8.900 13.39 [5,] 15.180 42.05 $n [1] 30 30 30 30 30 30 30 30 30 30 30 30 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -3.325677 -5.266085 -5.820312 -3.375093 -8.926455 -6.700109 -3.519888 [2,] 6.845677 7.236085 6.370312 6.075093 2.156455 4.400109 4.689888 [,8] [,9] [,10] [,11] [,12] [1,] -5.162202 -5.345496 -4.644147 -2.026604 -4.613 [2,] 3.682202 5.985496 6.404147 4.596604 7.093 $out [1] 55.23 -96.27 86.40 84.31 89.93 -71.39 46.13 51.27 -68.37 [10] 53.56 -58.72 55.76 64.74 56.74 -58.50 -79.24 37.56 50.28 [19] -39.95 43.55 -100.74 185.00 -34.40 47.24 47.21 55.17 114.50 [28] 45.98 41.95 -23.31 46.57 71.04 -105.74 51.65 -45.76 83.88 [37] 72.90 $group [1] 1 1 2 3 3 4 4 4 4 5 5 5 6 6 6 7 8 8 8 8 9 9 10 10 10 [26] 10 10 11 11 11 11 11 11 12 12 12 12 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" Warning message: In bxp(list(stats = c(-22.46, -4.78000000000003, 1.75999999999996, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/60f541355659795.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] [,9] [1,] 393.600 340.200 299.100 321.500 390.920 406.780 361.75 352.330 348.740 [2,] 412.320 347.705 314.750 339.665 404.690 434.455 367.24 371.645 357.665 [3,] 417.950 377.550 318.370 344.200 443.970 447.340 379.72 391.190 363.585 [4,] 441.255 383.830 326.325 362.500 460.305 459.560 397.08 402.060 372.320 [5,] 481.290 394.260 342.000 376.660 465.350 486.240 420.17 416.810 383.640 [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [1,] 337.240 329.010 373.830 376.640 381.070 322.820 284.110 256.080 270.00 [2,] 341.935 332.450 380.895 380.705 384.370 324.485 289.040 263.025 274.83 [3,] 344.905 348.715 383.715 383.405 387.395 344.155 294.400 284.290 282.33 [4,] 354.180 369.535 386.260 385.725 394.530 353.460 298.295 289.505 286.06 [5,] 361.730 392.190 391.580 391.030 404.760 377.850 308.290 310.720 299.86 [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26] [,27] [1,] 260.480 275.850 319.070 383.78 421.870 476.670 627.830 803.200 816.090 [2,] 264.260 287.785 336.235 395.23 424.255 552.430 643.035 818.275 874.445 [3,] 268.880 306.470 356.015 404.07 432.255 590.965 665.065 889.075 931.440 [4,] 272.375 315.525 359.370 406.81 440.730 621.620 673.340 916.005 947.525 [5,] 283.420 321.180 378.950 420.46 456.050 675.390 712.650 968.430 1043.160 [,28] [,29] [,30] [,31] [1,] 1095.410 1356.40 1589.900 1721.64 [2,] 1122.500 1381.64 1614.535 1721.64 [3,] 1170.830 1496.18 1650.950 1721.64 [4,] 1224.365 1618.71 1740.125 1721.64 [5,] 1342.020 1770.95 1746.580 1721.64 $n [1] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 [26] 12 12 12 12 12 1 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 404.7526 361.0731 313.0906 333.7848 418.6036 435.8894 366.1098 377.3175 [2,] 431.1474 394.0269 323.6494 354.6152 469.3364 458.7906 393.3302 405.0625 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 356.9008 339.32 331.8003 381.268 381.1153 382.761 330.9393 290.1787 [2,] 370.2692 350.49 365.6297 386.162 385.6947 392.029 357.3707 298.6213 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 272.2123 277.2079 265.1787 293.8176 345.463 398.7883 424.7406 559.407 [2,] 296.3677 287.4521 272.5813 319.1224 366.567 409.3517 439.7694 622.523 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] 651.2427 844.4997 898.1077 1124.369 1388.051 1593.668 1721.64 [2,] 678.8873 933.6503 964.7723 1217.291 1604.309 1708.232 1721.64 $out [1] 491.09 417.73 423.51 469.90 754.60 760.86 $group [1] 1 4 4 23 25 27 $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30" [31] NA Warning message: In bxp(list(stats = c(393.6, 412.32, 417.95, 441.255, 481.29, 340.2, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/7w3ah1355659795.ps",horizontal=F,onefile=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,] 509.6813 379.4150 391.3338 [2,] 520.3412 382.0600 396.8356 [3,] 524.2265 384.8950 400.3762 [4,] 536.7518 387.3125 405.3094 [5,] 546.7777 393.1650 414.6675 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 516.7415 382.4993 396.5113 [2,] 531.7115 387.2907 404.2412 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(509.681333333333, 520.341166666667, 524.2265, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1p8wi1355659795.ps tmp/1p8wi1355659795.png",intern=TRUE)) character(0) > try(system("convert tmp/21rsa1355659795.ps tmp/21rsa1355659795.png",intern=TRUE)) character(0) > try(system("convert tmp/3ipa51355659795.ps tmp/3ipa51355659795.png",intern=TRUE)) character(0) > try(system("convert tmp/47opv1355659795.ps tmp/47opv1355659795.png",intern=TRUE)) character(0) > try(system("convert tmp/5ycvp1355659795.ps tmp/5ycvp1355659795.png",intern=TRUE)) character(0) > try(system("convert tmp/60f541355659795.ps tmp/60f541355659795.png",intern=TRUE)) character(0) > try(system("convert tmp/7w3ah1355659795.ps tmp/7w3ah1355659795.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.678 1.016 4.713