R version 2.8.0 (2008-10-20) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 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. Natural language support but running in an English locale 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(255 + ,280.2 + ,299.9 + ,339.2 + ,374.2 + ,393.5 + ,389.2 + ,381.7 + ,375.2 + ,369 + ,357.4 + ,352.1 + ,346.5 + ,342.9 + ,340.3 + ,328.3 + ,322.9 + ,314.3 + ,308.9 + ,294 + ,285.6 + ,281.2 + ,280.3 + ,278.8 + ,274.5 + ,270.4 + ,263.4 + ,259.9 + ,258 + ,262.7 + ,284.7 + ,311.3 + ,322.1 + ,327 + ,331.3 + ,333.3 + ,321.4 + ,327 + ,320 + ,314.7 + ,316.7 + ,314.4 + ,321.3 + ,318.2 + ,307.2 + ,301.3 + ,287.5 + ,277.7 + ,274.4 + ,258.8 + ,253.3 + ,251 + ,248.4 + ,249.5 + ,246.1 + ,244.5 + ,243.6 + ,244 + ,240.8 + ,249.8 + ,248 + ,259.4 + ,260.5 + ,260.8 + ,261.3 + ,259.5 + ,256.6 + ,257.9 + ,256.5 + ,254.2 + ,253.3 + ,253.8 + ,255.5 + ,257.1 + ,257.3 + ,253.2 + ,252.8 + ,252 + ,250.7 + ,252.2 + ,250 + ,251 + ,253.4 + ,251.2 + ,255.6 + ,261.1 + ,258.9 + ,259.9 + ,261.2 + ,264.7 + ,267.1 + ,266.4 + ,267.7 + ,268.6 + ,267.5 + ,268.5 + ,268.5 + ,270.5 + ,270.9 + ,270.1 + ,269.3 + ,269.8 + ,270.1 + ,264.9 + ,263.7 + ,264.8 + ,263.7 + ,255.9 + ,276.2 + ,360.1 + ,380.5 + ,373.7 + ,369.8 + ,366.6 + ,359.3 + ,345.8 + ,326.2 + ,324.5 + ,328.1 + ,327.5 + ,324.4 + ,316.5 + ,310.9 + ,301.5 + ,291.7 + ,290.4 + ,287.4 + ,277.7 + ,281.6 + ,288 + ,276 + ,272.9 + ,283 + ,283.3 + ,276.8 + ,284.5 + ,282.7 + ,281.2 + ,287.4 + ,283.1 + ,284 + ,285.5 + ,289.2 + ,292.5 + ,296.4 + ,305.2 + ,303.9 + ,311.5 + ,316.3 + ,316.7 + ,322.5 + ,317.1 + ,309.8 + ,303.8 + ,290.3 + ,293.7 + ,291.7 + ,296.5 + ,289.1 + ,288.5 + ,293.8 + ,297.7 + ,305.4 + ,302.7 + ,302.5 + ,303 + ,294.5 + ,294.1 + ,294.5 + ,297.1 + ,289.4 + ,292.4 + ,287.9 + ,286.6 + ,280.5 + ,272.4 + ,269.2 + ,270.6 + ,267.3 + ,262.5 + ,266.8 + ,268.8 + ,263.1 + ,261.2 + ,266 + ,262.5 + ,265.2 + ,261.3 + ,253.7 + ,249.2 + ,239.1 + ,236.4 + ,235.2 + ,245.2 + ,246.2 + ,247.7 + ,251.4 + ,253.3 + ,254.8 + ,250 + ,249.3 + ,241.5 + ,243.3 + ,248 + ,253 + ,252.9 + ,251.5 + ,251.6 + ,253.5 + ,259.8 + ,334.1 + ,448 + ,445.8 + ,445 + ,448.2 + ,438.2 + ,439.8 + ,423.4 + ,410.8 + ,408.4 + ,406.7 + ,405.9 + ,402.7 + ,405.1 + ,399.6 + ,386.5 + ,381.4 + ,375.2 + ,357.7 + ,359 + ,355 + ,352.7 + ,344.4 + ,343.8 + ,338 + ,339 + ,333.3 + ,334.4 + ,328.3 + ,330.7 + ,330 + ,331.6 + ,351.2 + ,389.4 + ,410.9 + ,442.8 + ,462.8 + ,466.9 + ,461.7 + ,439.2 + ,430.3 + ,416.1 + ,402.5 + ,397.3 + ,403.3 + ,395.9 + ,387.8 + ,378.6 + ,377.1 + ,370.4 + ,362 + ,350.3 + ,348.2 + ,344.6 + ,343.5 + ,342.8 + ,347.6 + ,346.6 + ,349.5 + ,342.1 + ,342 + ,342.8 + ,339.3 + ,348.2 + ,333.7 + ,334.7 + ,354 + ,367.7 + ,363.3 + ,358.4 + ,353.1 + ,343.1 + ,344.6 + ,344.4 + ,333.9 + ,331.7 + ,324.3 + ,321.2 + ,322.4 + ,321.7 + ,320.5 + ,312.8 + ,309.7 + ,315.6 + ,309.7 + ,304.6 + ,302.5 + ,301.5 + ,298.8 + ,291.3 + ,293.6 + ,294.6 + ,285.9 + ,297.6 + ,301.1 + ,293.8 + ,297.7 + ,292.9 + ,292.1 + ,287.2 + ,288.2 + ,283.8 + ,299.9 + ,292.4 + ,293.3 + ,300.8 + ,293.7 + ,293.1 + ,294.4 + ,292.1 + ,291.9 + ,282.5 + ,277.9 + ,287.5 + ,289.2 + ,285.6 + ,293.2 + ,290.8 + ,283.1 + ,275 + ,287.8 + ,287.8 + ,287.4 + ,284 + ,277.8 + ,277.6 + ,304.9 + ,294 + ,300.9 + ,324 + ,332.9 + ,341.6 + ,333.4 + ,348.2 + ,344.7 + ,344.7 + ,329.3 + ,323.5 + ,323.2 + ,317.4 + ,330.1 + ,329.2 + ,334.9 + ,315.8 + ,315.4 + ,319.6 + ,317.3 + ,313.8 + ,315.8 + ,311.3) > par1 = '120' > #'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] 360 > (np <- floor(n / par1)) [1] 3 > 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] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [38] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [75] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [112] 3 3 3 3 3 3 3 3 3 > arr [,1] [,2] [,3] [,4] [1,] 255.0 324.4 330.0 NA [2,] 280.2 316.5 331.6 NA [3,] 299.9 310.9 351.2 NA [4,] 339.2 301.5 389.4 NA [5,] 374.2 291.7 410.9 NA [6,] 393.5 290.4 442.8 NA [7,] 389.2 287.4 462.8 NA [8,] 381.7 277.7 466.9 NA [9,] 375.2 281.6 461.7 NA [10,] 369.0 288.0 439.2 NA [11,] 357.4 276.0 430.3 NA [12,] 352.1 272.9 416.1 NA [13,] 346.5 283.0 402.5 NA [14,] 342.9 283.3 397.3 NA [15,] 340.3 276.8 403.3 NA [16,] 328.3 284.5 395.9 NA [17,] 322.9 282.7 387.8 NA [18,] 314.3 281.2 378.6 NA [19,] 308.9 287.4 377.1 NA [20,] 294.0 283.1 370.4 NA [21,] 285.6 284.0 362.0 NA [22,] 281.2 285.5 350.3 NA [23,] 280.3 289.2 348.2 NA [24,] 278.8 292.5 344.6 NA [25,] 274.5 296.4 343.5 NA [26,] 270.4 305.2 342.8 NA [27,] 263.4 303.9 347.6 NA [28,] 259.9 311.5 346.6 NA [29,] 258.0 316.3 349.5 NA [30,] 262.7 316.7 342.1 NA [31,] 284.7 322.5 342.0 NA [32,] 311.3 317.1 342.8 NA [33,] 322.1 309.8 339.3 NA [34,] 327.0 303.8 348.2 NA [35,] 331.3 290.3 333.7 NA [36,] 333.3 293.7 334.7 NA [37,] 321.4 291.7 354.0 NA [38,] 327.0 296.5 367.7 NA [39,] 320.0 289.1 363.3 NA [40,] 314.7 288.5 358.4 NA [41,] 316.7 293.8 353.1 NA [42,] 314.4 297.7 343.1 NA [43,] 321.3 305.4 344.6 NA [44,] 318.2 302.7 344.4 NA [45,] 307.2 302.5 333.9 NA [46,] 301.3 303.0 331.7 NA [47,] 287.5 294.5 324.3 NA [48,] 277.7 294.1 321.2 NA [49,] 274.4 294.5 322.4 NA [50,] 258.8 297.1 321.7 NA [51,] 253.3 289.4 320.5 NA [52,] 251.0 292.4 312.8 NA [53,] 248.4 287.9 309.7 NA [54,] 249.5 286.6 315.6 NA [55,] 246.1 280.5 309.7 NA [56,] 244.5 272.4 304.6 NA [57,] 243.6 269.2 302.5 NA [58,] 244.0 270.6 301.5 NA [59,] 240.8 267.3 298.8 NA [60,] 249.8 262.5 291.3 NA [61,] 248.0 266.8 293.6 NA [62,] 259.4 268.8 294.6 NA [63,] 260.5 263.1 285.9 NA [64,] 260.8 261.2 297.6 NA [65,] 261.3 266.0 301.1 NA [66,] 259.5 262.5 293.8 NA [67,] 256.6 265.2 297.7 NA [68,] 257.9 261.3 292.9 NA [69,] 256.5 253.7 292.1 NA [70,] 254.2 249.2 287.2 NA [71,] 253.3 239.1 288.2 NA [72,] 253.8 236.4 283.8 NA [73,] 255.5 235.2 299.9 NA [74,] 257.1 245.2 292.4 NA [75,] 257.3 246.2 293.3 NA [76,] 253.2 247.7 300.8 NA [77,] 252.8 251.4 293.7 NA [78,] 252.0 253.3 293.1 NA [79,] 250.7 254.8 294.4 NA [80,] 252.2 250.0 292.1 NA [81,] 250.0 249.3 291.9 NA [82,] 251.0 241.5 282.5 NA [83,] 253.4 243.3 277.9 NA [84,] 251.2 248.0 287.5 NA [85,] 255.6 253.0 289.2 NA [86,] 261.1 252.9 285.6 NA [87,] 258.9 251.5 293.2 NA [88,] 259.9 251.6 290.8 NA [89,] 261.2 253.5 283.1 NA [90,] 264.7 259.8 275.0 NA [91,] 267.1 334.1 287.8 NA [92,] 266.4 448.0 287.8 NA [93,] 267.7 445.8 287.4 NA [94,] 268.6 445.0 284.0 NA [95,] 267.5 448.2 277.8 NA [96,] 268.5 438.2 277.6 NA [97,] 268.5 439.8 304.9 NA [98,] 270.5 423.4 294.0 NA [99,] 270.9 410.8 300.9 NA [100,] 270.1 408.4 324.0 NA [101,] 269.3 406.7 332.9 NA [102,] 269.8 405.9 341.6 NA [103,] 270.1 402.7 333.4 NA [104,] 264.9 405.1 348.2 NA [105,] 263.7 399.6 344.7 NA [106,] 264.8 386.5 344.7 NA [107,] 263.7 381.4 329.3 NA [108,] 255.9 375.2 323.5 NA [109,] 276.2 357.7 323.2 NA [110,] 360.1 359.0 317.4 NA [111,] 380.5 355.0 330.1 NA [112,] 373.7 352.7 329.2 NA [113,] 369.8 344.4 334.9 NA [114,] 366.6 343.8 315.8 NA [115,] 359.3 338.0 315.4 NA [116,] 345.8 339.0 319.6 NA [117,] 326.2 333.3 317.3 NA [118,] 324.5 334.4 313.8 NA [119,] 328.1 328.3 315.8 NA [120,] 327.5 330.7 311.3 NA > darr [,1] [,2] [,3] [,4] [1,] 25.2 -7.9 1.6 NA [2,] 19.7 -5.6 19.6 NA [3,] 39.3 -9.4 38.2 NA [4,] 35.0 -9.8 21.5 NA [5,] 19.3 -1.3 31.9 NA [6,] -4.3 -3.0 20.0 NA [7,] -7.5 -9.7 4.1 NA [8,] -6.5 3.9 -5.2 NA [9,] -6.2 6.4 -22.5 NA [10,] -11.6 -12.0 -8.9 NA [11,] -5.3 -3.1 -14.2 NA [12,] -5.6 10.1 -13.6 NA [13,] -3.6 0.3 -5.2 NA [14,] -2.6 -6.5 6.0 NA [15,] -12.0 7.7 -7.4 NA [16,] -5.4 -1.8 -8.1 NA [17,] -8.6 -1.5 -9.2 NA [18,] -5.4 6.2 -1.5 NA [19,] -14.9 -4.3 -6.7 NA [20,] -8.4 0.9 -8.4 NA [21,] -4.4 1.5 -11.7 NA [22,] -0.9 3.7 -2.1 NA [23,] -1.5 3.3 -3.6 NA [24,] -4.3 3.9 -1.1 NA [25,] -4.1 8.8 -0.7 NA [26,] -7.0 -1.3 4.8 NA [27,] -3.5 7.6 -1.0 NA [28,] -1.9 4.8 2.9 NA [29,] 4.7 0.4 -7.4 NA [30,] 22.0 5.8 -0.1 NA [31,] 26.6 -5.4 0.8 NA [32,] 10.8 -7.3 -3.5 NA [33,] 4.9 -6.0 8.9 NA [34,] 4.3 -13.5 -14.5 NA [35,] 2.0 3.4 1.0 NA [36,] -11.9 -2.0 19.3 NA [37,] 5.6 4.8 13.7 NA [38,] -7.0 -7.4 -4.4 NA [39,] -5.3 -0.6 -4.9 NA [40,] 2.0 5.3 -5.3 NA [41,] -2.3 3.9 -10.0 NA [42,] 6.9 7.7 1.5 NA [43,] -3.1 -2.7 -0.2 NA [44,] -11.0 -0.2 -10.5 NA [45,] -5.9 0.5 -2.2 NA [46,] -13.8 -8.5 -7.4 NA [47,] -9.8 -0.4 -3.1 NA [48,] -3.3 0.4 1.2 NA [49,] -15.6 2.6 -0.7 NA [50,] -5.5 -7.7 -1.2 NA [51,] -2.3 3.0 -7.7 NA [52,] -2.6 -4.5 -3.1 NA [53,] 1.1 -1.3 5.9 NA [54,] -3.4 -6.1 -5.9 NA [55,] -1.6 -8.1 -5.1 NA [56,] -0.9 -3.2 -2.1 NA [57,] 0.4 1.4 -1.0 NA [58,] -3.2 -3.3 -2.7 NA [59,] 9.0 -4.8 -7.5 NA [60,] -1.8 4.3 2.3 NA [61,] 11.4 2.0 1.0 NA [62,] 1.1 -5.7 -8.7 NA [63,] 0.3 -1.9 11.7 NA [64,] 0.5 4.8 3.5 NA [65,] -1.8 -3.5 -7.3 NA [66,] -2.9 2.7 3.9 NA [67,] 1.3 -3.9 -4.8 NA [68,] -1.4 -7.6 -0.8 NA [69,] -2.3 -4.5 -4.9 NA [70,] -0.9 -10.1 1.0 NA [71,] 0.5 -2.7 -4.4 NA [72,] 1.7 -1.2 16.1 NA [73,] 1.6 10.0 -7.5 NA [74,] 0.2 1.0 0.9 NA [75,] -4.1 1.5 7.5 NA [76,] -0.4 3.7 -7.1 NA [77,] -0.8 1.9 -0.6 NA [78,] -1.3 1.5 1.3 NA [79,] 1.5 -4.8 -2.3 NA [80,] -2.2 -0.7 -0.2 NA [81,] 1.0 -7.8 -9.4 NA [82,] 2.4 1.8 -4.6 NA [83,] -2.2 4.7 9.6 NA [84,] 4.4 5.0 1.7 NA [85,] 5.5 -0.1 -3.6 NA [86,] -2.2 -1.4 7.6 NA [87,] 1.0 0.1 -2.4 NA [88,] 1.3 1.9 -7.7 NA [89,] 3.5 6.3 -8.1 NA [90,] 2.4 74.3 12.8 NA [91,] -0.7 113.9 0.0 NA [92,] 1.3 -2.2 -0.4 NA [93,] 0.9 -0.8 -3.4 NA [94,] -1.1 3.2 -6.2 NA [95,] 1.0 -10.0 -0.2 NA [96,] 0.0 1.6 27.3 NA [97,] 2.0 -16.4 -10.9 NA [98,] 0.4 -12.6 6.9 NA [99,] -0.8 -2.4 23.1 NA [100,] -0.8 -1.7 8.9 NA [101,] 0.5 -0.8 8.7 NA [102,] 0.3 -3.2 -8.2 NA [103,] -5.2 2.4 14.8 NA [104,] -1.2 -5.5 -3.5 NA [105,] 1.1 -13.1 0.0 NA [106,] -1.1 -5.1 -15.4 NA [107,] -7.8 -6.2 -5.8 NA [108,] 20.3 -17.5 -0.3 NA [109,] 83.9 1.3 -5.8 NA [110,] 20.4 -4.0 12.7 NA [111,] -6.8 -2.3 -0.9 NA [112,] -3.9 -8.3 5.7 NA [113,] -3.2 -0.6 -19.1 NA [114,] -7.3 -5.8 -0.4 NA [115,] -13.5 1.0 4.2 NA [116,] -19.6 -5.7 -2.3 NA [117,] -1.7 1.1 -3.5 NA [118,] 3.6 -6.1 2.0 NA [119,] -0.6 2.4 -4.5 NA [120,] -3.1 -0.7 NA 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/freestat/rcomp/tmp/1ntli1289593252.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/freestat/rcomp/tmp/2ntli1289593252.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/freestat/rcomp/tmp/3ntli1289593252.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/freestat/rcomp/tmp/4g2k31289593252.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] [1,] 255.0 280.20 299.90 301.50 291.70 290.40 287.4 277.7 281.60 288.0 276.00 [2,] 289.7 298.35 305.40 320.35 332.95 341.95 338.3 329.7 328.40 328.5 316.70 [3,] 324.4 316.50 310.90 339.20 374.20 393.50 389.2 381.7 375.20 369.0 357.40 [4,] 327.2 324.05 331.05 364.30 392.55 418.15 426.0 424.3 418.45 404.1 393.85 [5,] 330.0 331.60 351.20 389.40 410.90 442.80 462.8 466.9 461.70 439.2 430.30 [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [1,] 272.9 283.00 283.3 276.80 284.5 282.70 281.20 287.40 283.10 284.0 281.20 [2,] 312.5 314.75 313.1 308.55 306.4 302.80 297.75 298.15 288.55 284.8 283.35 [3,] 352.1 346.50 342.9 340.30 328.3 322.90 314.30 308.90 294.00 285.6 285.50 [4,] 384.1 374.50 370.1 371.80 362.1 355.35 346.45 343.00 332.20 323.8 317.90 [5,] 416.1 402.50 397.3 403.30 395.9 387.80 378.60 377.10 370.40 362.0 350.30 [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [1,] 280.30 278.80 274.50 270.4 263.40 259.90 258.00 262.7 284.70 311.30 309.80 [2,] 284.75 285.65 285.45 287.8 283.65 285.70 287.15 289.7 303.60 314.20 315.95 [3,] 289.20 292.50 296.40 305.2 303.90 311.50 316.30 316.7 322.50 317.10 322.10 [4,] 318.70 318.55 319.95 324.0 325.75 329.05 332.90 329.4 332.25 329.95 330.70 [5,] 348.20 344.60 343.50 342.8 347.60 346.60 349.50 342.1 342.00 342.80 339.30 [,34] [,35] [,36] [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [1,] 303.8 290.3 293.7 291.70 296.50 289.10 288.50 293.80 297.70 305.40 302.70 [2,] 315.4 310.8 313.5 306.55 311.75 304.55 301.60 305.25 306.05 313.35 310.45 [3,] 327.0 331.3 333.3 321.40 327.00 320.00 314.70 316.70 314.40 321.30 318.20 [4,] 337.6 332.5 334.0 337.70 347.35 341.65 336.55 334.90 328.75 332.95 331.30 [5,] 348.2 333.7 334.7 354.00 367.70 363.30 358.40 353.10 343.10 344.60 344.40 [,45] [,46] [,47] [,48] [,49] [,50] [,51] [,52] [,53] [,54] [,55] [1,] 302.50 301.30 287.5 277.70 274.40 258.80 253.30 251.0 248.40 249.50 246.1 [2,] 304.85 302.15 291.0 285.90 284.45 277.95 271.35 271.7 268.15 268.05 263.3 [3,] 307.20 303.00 294.5 294.10 294.50 297.10 289.40 292.4 287.90 286.60 280.5 [4,] 320.55 317.35 309.4 307.65 308.45 309.40 304.95 302.6 298.80 301.10 295.1 [5,] 333.90 331.70 324.3 321.20 322.40 321.70 320.50 312.8 309.70 315.60 309.7 [,56] [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] [,65] [,66] [1,] 244.50 243.60 244.00 240.80 249.80 248.0 259.4 260.5 260.8 261.30 259.50 [2,] 258.45 256.40 257.30 254.05 256.15 257.4 264.1 261.8 261.0 263.65 261.00 [3,] 272.40 269.20 270.60 267.30 262.50 266.8 268.8 263.1 261.2 266.00 262.50 [4,] 288.50 285.85 286.05 283.05 276.90 280.2 281.7 274.5 279.4 283.55 278.15 [5,] 304.60 302.50 301.50 298.80 291.30 293.6 294.6 285.9 297.6 301.10 293.80 [,67] [,68] [,69] [,70] [,71] [,72] [,73] [,74] [,75] [,76] [,77] [1,] 256.60 257.9 253.7 249.2 239.10 236.4 235.20 245.20 246.20 247.70 251.40 [2,] 260.90 259.6 255.1 251.7 246.20 245.1 245.35 251.15 251.75 250.45 252.10 [3,] 265.20 261.3 256.5 254.2 253.30 253.8 255.50 257.10 257.30 253.20 252.80 [4,] 281.45 277.1 274.3 270.7 270.75 268.8 277.70 274.75 275.30 277.00 273.25 [5,] 297.70 292.9 292.1 287.2 288.20 283.8 299.90 292.40 293.30 300.80 293.70 [,78] [,79] [,80] [,81] [,82] [,83] [,84] [,85] [,86] [,87] [1,] 252.00 250.70 250.00 249.30 241.50 243.30 248.00 253.0 252.90 251.50 [2,] 252.65 252.75 251.10 249.65 246.25 248.35 249.60 254.3 257.00 255.20 [3,] 253.30 254.80 252.20 250.00 251.00 253.40 251.20 255.6 261.10 258.90 [4,] 273.20 274.60 272.15 270.95 266.75 265.65 269.35 272.4 273.35 276.05 [5,] 293.10 294.40 292.10 291.90 282.50 277.90 287.50 289.2 285.60 293.20 [,88] [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [1,] 251.60 253.50 259.80 267.10 266.4 267.70 268.6 267.50 268.50 268.50 270.50 [2,] 255.75 257.35 262.25 277.45 277.1 277.55 276.3 272.65 273.05 286.70 282.25 [3,] 259.90 261.20 264.70 287.80 287.8 287.40 284.0 277.80 277.60 304.90 294.00 [4,] 275.35 272.15 269.85 310.95 367.9 366.60 364.5 363.00 357.90 372.35 358.70 [5,] 290.80 283.10 275.00 334.10 448.0 445.80 445.0 448.20 438.20 439.80 423.40 [,99] [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107] [,108] [1,] 270.90 270.10 269.3 269.80 270.10 264.90 263.70 264.80 263.70 255.90 [2,] 285.90 297.05 301.1 305.70 301.75 306.55 304.20 304.75 296.50 289.70 [3,] 300.90 324.00 332.9 341.60 333.40 348.20 344.70 344.70 329.30 323.50 [4,] 355.85 366.20 369.8 373.75 368.05 376.65 372.15 365.60 355.35 349.35 [5,] 410.80 408.40 406.7 405.90 402.70 405.10 399.60 386.50 381.40 375.20 [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117] [,118] [1,] 276.20 317.40 330.10 329.20 334.90 315.8 315.40 319.6 317.30 313.80 [2,] 299.70 338.20 342.55 340.95 339.65 329.8 326.70 329.3 321.75 319.15 [3,] 323.20 359.00 355.00 352.70 344.40 343.8 338.00 339.0 326.20 324.50 [4,] 340.45 359.55 367.75 363.20 357.10 355.2 348.65 342.4 329.75 329.45 [5,] 357.70 360.10 380.50 373.70 369.80 366.6 359.30 345.8 333.30 334.40 [,119] [,120] [1,] 315.80 311.3 [2,] 321.95 319.4 [3,] 328.10 327.5 [4,] 328.20 329.1 [5,] 328.30 330.7 $n [1] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [38] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [75] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [112] 3 3 3 3 3 3 3 3 3 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 290.192 293.0561 287.5017 299.1082 319.8321 323.9893 309.1989 295.4046 [2,] 358.608 339.9439 334.2983 379.2918 428.5679 463.0107 469.2011 467.9954 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 293.0552 300.0367 287.0227 286.7855 291.9952 290.9038 282.6025 277.4897 [2,] 457.3448 437.9633 427.7773 417.4145 401.0048 394.8962 397.9975 379.1103 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 274.9632 269.8752 267.9872 254.1819 250.0237 253.9830 258.2304 262.4882 [2,] 370.8368 358.7248 349.8128 333.8181 321.1763 317.0170 320.1696 322.5118 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 264.9286 272.1779 265.4958 271.9555 274.5662 280.4851 296.3651 302.7326 [2,] 327.8714 338.2221 342.3042 351.0445 358.0338 352.9149 348.6349 331.4674 [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] [1,] 308.6449 306.7489 311.5050 314.5996 292.9846 294.5252 286.1569 282.8181 [2,] 335.5551 347.2511 351.0950 352.0004 349.8154 359.4748 353.8431 346.5819 [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 289.6529 293.6928 303.4206 299.1804 292.8782 289.1344 277.7153 274.2594 [2,] 343.7471 335.1072 339.1794 337.2196 321.5218 316.8656 311.2847 313.9406 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] 272.6069 268.4109 258.7496 264.2126 259.9407 256.4513 251.4916 244.988 [2,] 316.3931 325.7891 320.0504 320.5874 315.8593 316.7487 309.5084 299.812 [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] [1,] 242.3353 244.3739 240.8458 243.5716 246.0015 252.7450 251.5149 244.4153 [2,] 296.0647 296.8261 293.7542 281.4284 287.5985 284.8550 274.6851 277.9847 [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 247.8470 246.8555 246.454 245.3363 238.9855 236.8679 230.9052 232.1805 [2,] 284.1530 278.1445 283.946 277.2637 274.0145 271.5321 275.6948 275.4195 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [1,] 225.9899 235.5718 235.8174 228.9807 233.5067 234.554 234.8681 232.9979 [2,] 285.0101 278.6282 278.7826 277.4193 272.0933 272.046 274.7319 271.4021 [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] [1,] 230.5699 232.2996 237.6187 233.1838 239.0889 246.1853 239.8804 242.0206 [2,] 269.4301 269.7004 269.1813 269.2162 272.1111 276.0147 277.9196 277.7794 [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [1,] 247.6992 257.7672 257.2409 204.9710 206.1674 203.5428 195.3815 200.1987 [2,] 274.7008 271.6328 318.3591 370.6290 368.6326 364.4572 360.2185 355.0013 [,97] [,98] [,99] [,100] [,101] [,102] [,103] [,104] [1,] 226.7689 224.2613 237.0907 260.9204 270.2309 279.5239 272.9202 284.2538 [2,] 383.0311 363.7387 364.7093 387.0796 395.5691 403.6761 393.8798 412.1462 [,105] [,106] [,107] [,108] [,109] [,110] [,111] [,112] [1,] 282.7151 289.1918 275.6162 269.0865 286.0273 339.5242 332.0122 332.4033 [2,] 406.6849 400.2082 382.9838 377.9135 360.3727 378.4758 377.9878 372.9967 [,113] [,114] [,115] [,116] [,117] [,118] [,119] [,120] [1,] 328.4819 320.6298 317.9769 327.05 318.9023 315.1042 322.3987 318.6515 [2,] 360.3181 366.9702 358.0231 350.95 333.4977 333.8958 333.8013 336.3485 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" [13] "13" "14" "15" "16" "17" "18" "19" "20" "21" "22" "23" "24" [25] "25" "26" "27" "28" "29" "30" "31" "32" "33" "34" "35" "36" [37] "37" "38" "39" "40" "41" "42" "43" "44" "45" "46" "47" "48" [49] "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60" [61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70" "71" "72" [73] "73" "74" "75" "76" "77" "78" "79" "80" "81" "82" "83" "84" [85] "85" "86" "87" "88" "89" "90" "91" "92" "93" "94" "95" "96" [97] "97" "98" "99" "100" "101" "102" "103" "104" "105" "106" "107" "108" [109] "109" "110" "111" "112" "113" "114" "115" "116" "117" "118" "119" "120" Warning message: In bxp(list(stats = c(255, 289.7, 324.4, 327.2, 330, 280.2, 298.35, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/5g2k31289593252.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,] -7.90 -5.60 -9.40 -9.80 -1.3 -4.30 -9.7 -6.50 -22.50 -12.00 -14.20 -13.60 [2,] -3.15 7.00 14.40 5.85 9.0 -3.65 -8.6 -5.85 -14.35 -11.80 -9.75 -9.60 [3,] 1.60 19.60 38.20 21.50 19.3 -3.00 -7.5 -5.20 -6.20 -11.60 -5.30 -5.60 [4,] 13.40 19.65 38.75 28.25 25.6 8.50 -1.7 -0.65 0.10 -10.25 -4.20 2.25 [5,] 25.20 19.70 39.30 35.00 31.9 20.00 4.1 3.90 6.40 -8.90 -3.10 10.10 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] -5.20 -6.50 -12.00 -8.10 -9.20 -5.40 -14.9 -8.40 -11.70 -2.1 -3.60 -4.3 [2,] -4.40 -4.55 -9.70 -6.75 -8.90 -3.45 -10.8 -8.40 -8.05 -1.5 -2.55 -2.7 [3,] -3.60 -2.60 -7.40 -5.40 -8.60 -1.50 -6.7 -8.40 -4.40 -0.9 -1.50 -1.1 [4,] -1.65 1.70 0.15 -3.60 -5.05 2.35 -5.5 -3.75 -1.45 1.4 0.90 1.4 [5,] 0.30 6.00 7.70 -1.80 -1.50 6.20 -4.3 0.90 1.50 3.7 3.30 3.9 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [1,] -4.10 -7.00 -3.50 -1.90 -7.40 -0.10 -5.4 -7.30 -6.00 -14.5 1.0 -11.90 [2,] -2.40 -4.15 -2.25 0.50 -3.50 2.85 -2.3 -5.40 -0.55 -14.0 1.5 -6.95 [3,] -0.70 -1.30 -1.00 2.90 0.40 5.80 0.8 -3.50 4.90 -13.5 2.0 -2.00 [4,] 4.05 1.75 3.30 3.85 2.55 13.90 13.7 3.65 6.90 -4.6 2.7 8.65 [5,] 8.80 4.80 7.60 4.80 4.70 22.00 26.6 10.80 8.90 4.3 3.4 19.30 [,37] [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [1,] 4.80 -7.4 -5.30 -5.30 -10.00 1.5 -3.10 -11.00 -5.90 -13.80 -9.80 -3.30 [2,] 5.20 -7.2 -5.10 -1.65 -6.15 4.2 -2.90 -10.75 -4.05 -11.15 -6.45 -1.45 [3,] 5.60 -7.0 -4.90 2.00 -2.30 6.9 -2.70 -10.50 -2.20 -8.50 -3.10 0.40 [4,] 9.65 -5.7 -2.75 3.65 0.80 7.3 -1.45 -5.35 -0.85 -7.95 -1.75 0.80 [5,] 13.70 -4.4 -0.60 5.30 3.90 7.7 -0.20 -0.20 0.50 -7.40 -0.40 1.20 [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [1,] -15.60 -7.70 -7.70 -4.50 -1.3 -6.10 -8.10 -3.20 -1.0 -3.30 -7.50 -1.80 [2,] -8.15 -6.60 -5.00 -3.80 -0.1 -6.00 -6.60 -2.65 -0.3 -3.25 -6.15 0.25 [3,] -0.70 -5.50 -2.30 -3.10 1.1 -5.90 -5.10 -2.10 0.4 -3.20 -4.80 2.30 [4,] 0.95 -3.35 0.35 -2.85 3.5 -4.65 -3.35 -1.50 0.9 -2.95 2.10 3.30 [5,] 2.60 -1.20 3.00 -2.60 5.9 -3.40 -1.60 -0.90 1.4 -2.70 9.00 4.30 [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [1,] 1.0 -8.7 -1.9 0.50 -7.30 -2.9 -4.80 -7.6 -4.9 -10.10 -4.40 -1.20 [2,] 1.5 -7.2 -0.8 2.00 -5.40 -0.1 -4.35 -4.5 -4.7 -5.50 -3.55 0.25 [3,] 2.0 -5.7 0.3 3.50 -3.50 2.7 -3.90 -1.4 -4.5 -0.90 -2.70 1.70 [4,] 6.7 -2.3 6.0 4.15 -2.65 3.3 -1.30 -1.1 -3.4 0.05 -1.10 8.90 [5,] 11.4 1.1 11.7 4.80 -1.80 3.9 1.30 -0.8 -2.3 1.00 0.50 16.10 [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [1,] -7.50 0.20 -4.1 -7.10 -0.80 -1.300000e+00 -4.80 -2.20 -9.4 -4.6 -2.20 [2,] -2.95 0.55 -1.3 -3.75 -0.70 -2.842171e-14 -3.55 -1.45 -8.6 -1.4 1.25 [3,] 1.60 0.90 1.5 -0.40 -0.60 1.300000e+00 -2.30 -0.70 -7.8 1.8 4.70 [4,] 5.80 0.95 4.5 1.65 0.65 1.400000e+00 -0.40 -0.45 -3.4 2.1 7.15 [5,] 10.00 1.00 7.5 3.70 1.90 1.500000e+00 1.50 -0.20 1.0 2.4 9.60 [,84] [,85] [,86] [,87] [,88] [,89] [,90] [,91] [,92] [,93] [,94] [,95] [1,] 1.70 -3.60 -2.2 -2.40 -7.7 -8.1 2.40 -0.70 -2.20 -3.40 -6.20 -10.0 [2,] 3.05 -1.85 -1.8 -1.15 -3.2 -2.3 7.60 -0.35 -1.30 -2.10 -3.65 -5.1 [3,] 4.40 -0.10 -1.4 0.10 1.3 3.5 12.80 0.00 -0.40 -0.80 -1.10 -0.2 [4,] 4.70 2.70 3.1 0.55 1.6 4.9 43.55 56.95 0.45 0.05 1.05 0.4 [5,] 5.00 5.50 7.6 1.00 1.9 6.3 74.30 113.90 1.30 0.90 3.20 1.0 [,96] [,97] [,98] [,99] [,100] [,101] [,102] [,103] [,104] [,105] [,106] [1,] 0.00 -16.40 -12.60 -2.40 -1.70 -0.80 -8.20 -5.2 -5.50 -13.10 -15.40 [2,] 0.80 -13.65 -6.10 -1.60 -1.25 -0.15 -5.70 -1.4 -4.50 -6.55 -10.25 [3,] 1.60 -10.90 0.40 -0.80 -0.80 0.50 -3.20 2.4 -3.50 0.00 -5.10 [4,] 14.45 -4.45 3.65 11.15 4.05 4.60 -1.45 8.6 -2.35 0.55 -3.10 [5,] 27.30 2.00 6.90 23.10 8.90 8.70 0.30 14.8 -1.20 1.10 -1.10 [,107] [,108] [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [1,] -7.8 -17.5 -5.80 -4.00 -6.80 -8.3 -19.10 -7.30 -13.50 -19.60 [2,] -7.0 -8.9 -2.25 4.35 -4.55 -6.1 -11.15 -6.55 -6.25 -12.65 [3,] -6.2 -0.3 1.30 12.70 -2.30 -3.9 -3.20 -5.80 1.00 -5.70 [4,] -6.0 10.0 42.60 16.55 -1.60 0.9 -1.90 -3.10 2.60 -4.00 [5,] -5.8 20.3 83.90 20.40 -0.90 5.7 -0.60 -0.40 4.20 -2.30 [,117] [,118] [,119] [,120] [1,] -3.5 -6.10 -4.50 -3.1 [2,] -2.6 -2.05 -2.55 -3.1 [3,] -1.7 2.00 -0.60 -1.9 [4,] -0.3 2.80 0.90 -0.7 [5,] 1.1 3.60 2.40 -0.7 $n [1] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [38] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [75] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 [112] 3 3 3 3 3 3 3 3 2 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -13.49713 8.0605 15.98760 1.066419 4.157257 -14.083393 -13.794273 [2,] 16.69713 31.1395 60.41240 41.933581 34.442743 8.083393 -1.205727 [,8] [,9] [,10] [,11] [,12] [,13] [,14] [1,] -9.9435098 -19.381484 -13.01393 -10.3627845 -16.409729 -6.108587 -8.301334 [2,] -0.4564902 6.981484 -10.18607 -0.2372155 5.209729 -1.091413 3.101334 [,15] [,16] [,17] [,18] [,19] [,20] [,21] [1,] -16.385302 -8.273472 -12.112022 -6.790838 -11.534731 -12.641792 -10.420609 [2,] 1.585302 -2.526528 -5.087978 3.790838 -1.865269 -4.158208 1.620609 [,22] [,23] [,24] [,25] [,26] [,27] [,28] [1,] -3.545419 -4.647136 -4.840075 -6.583777 -6.682059 -6.062785 -0.1559150 [2,] 1.745419 1.647136 2.640075 5.183777 4.082059 4.062785 5.9559150 [,29] [,30] [,31] [,32] [,33] [,34] [,35] [1,] -5.118891 -4.279958 -13.79541 -11.755531 -1.89599 -22.074806 0.9053439 [2,] 5.918891 15.879958 15.39541 4.755531 11.69599 -4.925194 3.0946561 [,36] [,37] [,38] [,39] [,40] [,41] [,42] [1,] -16.23053 1.540650 -8.36832 -7.043702 -2.834731 -8.639883 4.072138 [2,] 12.23053 9.659350 -5.63168 -2.756298 6.834731 4.039883 9.727862 [,43] [,44] [,45] [,46] [,47] [,48] [,49] [1,] -4.022709 -15.425952 -5.119083 -11.419083 -7.387403 -1.652480 -9.001142 [2,] -1.377291 -5.574048 0.719083 -5.580917 1.187403 2.452480 7.601142 [,50] [,51] [,52] [,53] [,54] [,55] [,56] [1,] -8.464694 -7.180342 -3.966603 -2.183968 -7.131488 -8.064694 -3.149045 [2,] -2.535306 2.580342 -2.233397 4.383968 -4.668512 -2.135306 -1.050955 [,57] [,58] [,59] [,60] [,61] [,62] [,63] [1,] -0.6946561 -3.473664 -12.325761 -0.4822509 -2.74351 -10.169846 -5.903051 [2,] 1.4946561 -2.926336 2.725761 5.0822509 6.74351 -1.230154 6.503051 [,64] [,65] [,66] [,67] [,68] [,69] [,70] [1,] 1.538741 -6.008587 -0.4015256 -6.682251 -4.501526 -5.685877 -5.962785 [2,] 5.461259 -0.991413 5.8015256 -1.117749 1.701526 -3.314123 4.162785 [,71] [,72] [,73] [,74] [,75] [,76] [,77] [1,] -4.9349229 -6.190646 -6.381867 0.5351146 -3.790838 -5.325952 -1.8314881 [2,] -0.4650771 9.590646 9.581867 1.2648854 6.790838 4.525952 0.6314881 [,78] [,79] [,80] [,81] [,82] [,83] [,84] [1,] 0.02290120 -5.1734723 -1.6122134 -12.54351 -1.392747 -0.6820592 2.894848 [2,] 2.57709880 0.5734723 0.2122134 -3.05649 4.992747 10.0820592 5.905152 [,85] [,86] [,87] [,88] [,89] [,90] [,91] [1,] -4.250571 -5.869846 -1.450763 -3.078624 -3.067937 -19.99407 -52.26983 [2,] 4.050571 3.069846 1.650763 5.678624 10.067937 45.59407 52.26983 [,92] [,93] [,94] [,95] [,96] [,97] [,98] [1,] -1.996373 -2.761259 -5.387403 -5.217174 -10.85171 -19.292364 -8.494081 [2,] 1.196373 1.161259 3.187403 4.817174 14.05171 -2.507636 9.294081 [,99] [,100] [,101] [,102] [,103] [,104] [,105] [1,] -12.43072 -5.634731 -3.833014 -7.076907 -6.722134 -5.461259 -6.476715 [2,] 10.83072 4.034731 4.833014 0.676907 11.522134 -1.538741 6.476715 [,106] [,107] [,108] [,109] [,110] [,111] [,112] [1,] -11.622326 -7.112213 -17.54083 -39.61277 1.570996 -4.9910296 -10.285494 [2,] 1.422326 -5.287787 16.94083 42.21277 23.829004 0.3910296 2.485494 [,113] [,114] [,115] [,116] [,117] [,118] [,119] [1,] -11.637974 -8.947136 -7.073089 -13.590646 -3.7980909 -2.424235 -3.747136 [2,] 5.237974 -2.652864 9.073089 2.190646 0.3980909 6.424235 2.547136 [,120] [1,] -4.5813489 [2,] 0.7813489 $out numeric(0) $group numeric(0) $names [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" [13] "13" "14" "15" "16" "17" "18" "19" "20" "21" "22" "23" "24" [25] "25" "26" "27" "28" "29" "30" "31" "32" "33" "34" "35" "36" [37] "37" "38" "39" "40" "41" "42" "43" "44" "45" "46" "47" "48" [49] "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60" [61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70" "71" "72" [73] "73" "74" "75" "76" "77" "78" "79" "80" "81" "82" "83" "84" [85] "85" "86" "87" "88" "89" "90" "91" "92" "93" "94" "95" "96" [97] "97" "98" "99" "100" "101" "102" "103" "104" "105" "106" "107" "108" [109] "109" "110" "111" "112" "113" "114" "115" "116" "117" "118" "119" "120" Warning message: In bxp(list(stats = c(-7.89999999999998, -3.14999999999998, 1.60000000000002, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/69bk61289593252.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] [1,] 240.80 235.20 275.0 NA [2,] 257.20 267.05 293.9 NA [3,] 269.95 291.05 322.8 NA [4,] 321.75 326.35 347.1 NA [5,] 393.50 410.80 416.1 NA $n [1] 120 120 120 0 $conf [,1] [,2] [,3] [,4] [1,] 260.6397 282.4969 315.1268 NA [2,] 279.2603 299.6031 330.4732 NA $out [1] 448.0 445.8 445.0 448.2 438.2 439.8 423.4 442.8 462.8 466.9 461.7 439.2 [13] 430.3 $group [1] 2 2 2 2 2 2 2 3 3 3 3 3 3 $names [1] "1" "2" "3" NA > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/79bk61289593252.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,] 258.0000 250.00 256.5000 [2,] 272.6000 267.05 271.1500 [3,] 316.1167 304.40 314.0875 [4,] 332.2667 327.80 327.7875 [5,] 379.8000 393.50 382.1500 $n [1] 120 120 120 $conf [,1] [,2] [,3] [1,] 307.5107 295.6378 305.9185 [2,] 324.7226 313.1622 322.2565 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" > dev.off() null device 1 > > try(system("convert tmp/1ntli1289593252.ps tmp/1ntli1289593252.png",intern=TRUE)) character(0) > try(system("convert tmp/2ntli1289593252.ps tmp/2ntli1289593252.png",intern=TRUE)) character(0) > try(system("convert tmp/3ntli1289593252.ps tmp/3ntli1289593252.png",intern=TRUE)) character(0) > try(system("convert tmp/4g2k31289593252.ps tmp/4g2k31289593252.png",intern=TRUE)) character(0) > try(system("convert tmp/5g2k31289593252.ps tmp/5g2k31289593252.png",intern=TRUE)) character(0) > try(system("convert tmp/69bk61289593252.ps tmp/69bk61289593252.png",intern=TRUE)) character(0) > try(system("convert tmp/79bk61289593252.ps tmp/79bk61289593252.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.548 1.642 2.793