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(235.1 + ,280.7 + ,264.6 + ,240.7 + ,201.4 + ,240.8 + ,241.1 + ,223.8 + ,206.1 + ,174.7 + ,203.3 + ,220.5 + ,299.5 + ,347.4 + ,338.3 + ,327.7 + ,351.6 + ,396.6 + ,438.8 + ,395.6 + ,363.5 + ,378.8 + ,357 + ,369 + ,464.8 + ,479.1 + ,431.3 + ,366.5 + ,326.3 + ,355.1 + ,331.6 + ,261.3 + ,249 + ,205.5 + ,235.6 + ,240.9 + ,264.9 + ,253.8 + ,232.3 + ,193.8 + ,177 + ,213.2 + ,207.2 + ,180.6 + ,188.6 + ,175.4 + ,199 + ,179.6 + ,225.8 + ,234 + ,200.2 + ,183.6 + ,178.2 + ,203.2 + ,208.5 + ,191.8 + ,172.8 + ,148 + ,159.4 + ,154.5 + ,213.2 + ,196.4 + ,182.8 + ,176.4 + ,153.6 + ,173.2 + ,171 + ,151.2 + ,161.9 + ,157.2 + ,201.7 + ,236.4 + ,356.1 + ,398.3 + ,403.7 + ,384.6 + ,365.8 + ,368.1 + ,367.9 + ,347 + ,343.3 + ,292.9 + ,311.5 + ,300.9 + ,366.9 + ,356.9 + ,329.7 + ,316.2 + ,269 + ,289.3 + ,266.2 + ,253.6 + ,233.8 + ,228.4 + ,253.6 + ,260.1 + ,306.6 + ,309.2 + ,309.5 + ,271 + ,279.9 + ,317.9 + ,298.4 + ,246.7 + ,227.3 + ,209.1 + ,259.9 + ,266 + ,320.6 + ,308.5 + ,282.2 + ,262.7 + ,263.5 + ,313.1 + ,284.3 + ,252.6 + ,250.3 + ,246.5 + ,312.7 + ,333.2 + ,446.4 + ,511.6 + ,515.5 + ,506.4 + ,483.2 + ,522.3 + ,509.8 + ,460.7 + ,405.8 + ,375 + ,378.5 + ,406.8 + ,467.8 + ,469.8 + ,429.8 + ,355.8 + ,332.7 + ,378 + ,360.5 + ,334.7 + ,319.5 + ,323.1 + ,363.6 + ,352.1 + ,411.9 + ,388.6 + ,416.4 + ,360.7 + ,338 + ,417.2 + ,388.4 + ,371.1 + ,331.5 + ,353.7 + ,396.7 + ,447 + ,533.5 + ,565.4 + ,542.3 + ,488.7 + ,467.1 + ,531.3 + ,496.1 + ,444 + ,403.4 + ,386.3 + ,394.1 + ,404.1 + ,462.1 + ,448.1 + ,432.3 + ,386.3 + ,395.2 + ,421.9 + ,382.9 + ,384.2 + ,345.5 + ,323.4 + ,372.6 + ,376 + ,462.7 + ,487 + ,444.2 + ,399.3 + ,394.9 + ,455.4 + ,414 + ,375.5 + ,347 + ,339.4 + ,385.8 + ,378.8 + ,451.8 + ,446.1 + ,422.5 + ,383.1 + ,352.8 + ,445.3 + ,367.5 + ,355.1 + ,326.2 + ,319.8 + ,331.8 + ,340.9 + ,394.1 + ,417.2 + ,369.9 + ,349.2 + ,321.4 + ,405.7 + ,342.9 + ,316.5 + ,284.2 + ,270.9 + ,288.8 + ,278.8 + ,324.4 + ,310.9 + ,299 + ,273 + ,279.3 + ,359.2 + ,305 + ,282.1 + ,250.3 + ,246.5 + ,257.9 + ,266.5 + ,315.9 + ,318.4 + ,295.4 + ,266.4 + ,245.8 + ,362.8 + ,324.9 + ,294.2 + ,289.5 + ,295.2 + ,290.3 + ,272 + ,307.4 + ,328.7 + ,292.9 + ,249.1 + ,230.4 + ,361.5 + ,321.7 + ,277.2 + ,260.7 + ,251 + ,257.6 + ,241.8 + ,287.5 + ,292.3 + ,274.7 + ,254.2 + ,230 + ,339 + ,318.2 + ,287 + ,295.8 + ,284 + ,271 + ,262.7 + ,340.6 + ,379.4 + ,373.3 + ,355.2 + ,338.4 + ,466.9 + ,451 + ,422 + ,429.2 + ,425.9 + ,460.7 + ,463.6 + ,541.4 + ,544.2 + ,517.5 + ,469.4 + ,439.4 + ,549 + ,533 + ,506.1 + ,484 + ,457 + ,481.5 + ,469.5 + ,544.7 + ,541.2 + ,521.5 + ,469.7 + ,434.4 + ,542.6 + ,517.3 + ,485.7 + ,465.8 + ,447 + ,426.6 + ,411.6 + ,467.5 + ,484.5 + ,451.2 + ,417.4 + ,379.9 + ,484.7 + ,455 + ,420.8 + ,416.5 + ,376.3 + ,405.6 + ,405.8 + ,500.8 + ,514 + ,475.5 + ,430.1 + ,414.4 + ,538 + ,526 + ,488.5 + ,520.2 + ,504.4 + ,568.5 + ,610.6 + ,818 + ,830.9 + ,835.9 + ,782 + ,762.3 + ,856.9 + ,820.9 + ,769.6 + ,752.2 + ,724.4 + ,723.1 + ,719.5 + ,817.4 + ,803.3 + ,752.5 + ,689 + ,630.4 + ,765.5 + ,757.7 + ,732.2 + ,702.6 + ,683.3 + ,709.5 + ,702.2 + ,784.8 + ,810.9 + ,755.6 + ,656.8 + ,615.1 + ,745.3 + ,694.1 + ,675.7 + ,643.7 + ,622.1 + ,634.6 + ,588 + ,689.7 + ,673.9 + ,647.9 + ,568.8 + ,545.7 + ,632.6 + ,643.8 + ,593.1 + ,579.7 + ,546 + ,562.9 + ,572.5) > 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] 372 > (np <- floor(n / par1)) [1] 31 > 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 31 31 31 31 31 31 31 31 31 31 31 > arr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 235.1 299.5 464.8 264.9 225.8 213.2 356.1 366.9 306.6 320.6 446.4 467.8 [2,] 280.7 347.4 479.1 253.8 234.0 196.4 398.3 356.9 309.2 308.5 511.6 469.8 [3,] 264.6 338.3 431.3 232.3 200.2 182.8 403.7 329.7 309.5 282.2 515.5 429.8 [4,] 240.7 327.7 366.5 193.8 183.6 176.4 384.6 316.2 271.0 262.7 506.4 355.8 [5,] 201.4 351.6 326.3 177.0 178.2 153.6 365.8 269.0 279.9 263.5 483.2 332.7 [6,] 240.8 396.6 355.1 213.2 203.2 173.2 368.1 289.3 317.9 313.1 522.3 378.0 [7,] 241.1 438.8 331.6 207.2 208.5 171.0 367.9 266.2 298.4 284.3 509.8 360.5 [8,] 223.8 395.6 261.3 180.6 191.8 151.2 347.0 253.6 246.7 252.6 460.7 334.7 [9,] 206.1 363.5 249.0 188.6 172.8 161.9 343.3 233.8 227.3 250.3 405.8 319.5 [10,] 174.7 378.8 205.5 175.4 148.0 157.2 292.9 228.4 209.1 246.5 375.0 323.1 [11,] 203.3 357.0 235.6 199.0 159.4 201.7 311.5 253.6 259.9 312.7 378.5 363.6 [12,] 220.5 369.0 240.9 179.6 154.5 236.4 300.9 260.1 266.0 333.2 406.8 352.1 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 411.9 533.5 462.1 462.7 451.8 394.1 324.4 315.9 307.4 287.5 340.6 541.4 [2,] 388.6 565.4 448.1 487.0 446.1 417.2 310.9 318.4 328.7 292.3 379.4 544.2 [3,] 416.4 542.3 432.3 444.2 422.5 369.9 299.0 295.4 292.9 274.7 373.3 517.5 [4,] 360.7 488.7 386.3 399.3 383.1 349.2 273.0 266.4 249.1 254.2 355.2 469.4 [5,] 338.0 467.1 395.2 394.9 352.8 321.4 279.3 245.8 230.4 230.0 338.4 439.4 [6,] 417.2 531.3 421.9 455.4 445.3 405.7 359.2 362.8 361.5 339.0 466.9 549.0 [7,] 388.4 496.1 382.9 414.0 367.5 342.9 305.0 324.9 321.7 318.2 451.0 533.0 [8,] 371.1 444.0 384.2 375.5 355.1 316.5 282.1 294.2 277.2 287.0 422.0 506.1 [9,] 331.5 403.4 345.5 347.0 326.2 284.2 250.3 289.5 260.7 295.8 429.2 484.0 [10,] 353.7 386.3 323.4 339.4 319.8 270.9 246.5 295.2 251.0 284.0 425.9 457.0 [11,] 396.7 394.1 372.6 385.8 331.8 288.8 257.9 290.3 257.6 271.0 460.7 481.5 [12,] 447.0 404.1 376.0 378.8 340.9 278.8 266.5 272.0 241.8 262.7 463.6 469.5 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 544.7 467.5 500.8 818.0 817.4 784.8 689.7 NA [2,] 541.2 484.5 514.0 830.9 803.3 810.9 673.9 NA [3,] 521.5 451.2 475.5 835.9 752.5 755.6 647.9 NA [4,] 469.7 417.4 430.1 782.0 689.0 656.8 568.8 NA [5,] 434.4 379.9 414.4 762.3 630.4 615.1 545.7 NA [6,] 542.6 484.7 538.0 856.9 765.5 745.3 632.6 NA [7,] 517.3 455.0 526.0 820.9 757.7 694.1 643.8 NA [8,] 485.7 420.8 488.5 769.6 732.2 675.7 593.1 NA [9,] 465.8 416.5 520.2 752.2 702.6 643.7 579.7 NA [10,] 447.0 376.3 504.4 724.4 683.3 622.1 546.0 NA [11,] 426.6 405.6 568.5 723.1 709.5 634.6 562.9 NA [12,] 411.6 405.8 610.6 719.5 702.2 588.0 572.5 NA > darr [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 45.6 47.9 14.3 -11.1 8.2 -16.8 42.2 -10.0 2.6 -12.1 65.2 2.0 [2,] -16.1 -9.1 -47.8 -21.5 -33.8 -13.6 5.4 -27.2 0.3 -26.3 3.9 -40.0 [3,] -23.9 -10.6 -64.8 -38.5 -16.6 -6.4 -19.1 -13.5 -38.5 -19.5 -9.1 -74.0 [4,] -39.3 23.9 -40.2 -16.8 -5.4 -22.8 -18.8 -47.2 8.9 0.8 -23.2 -23.1 [5,] 39.4 45.0 28.8 36.2 25.0 19.6 2.3 20.3 38.0 49.6 39.1 45.3 [6,] 0.3 42.2 -23.5 -6.0 5.3 -2.2 -0.2 -23.1 -19.5 -28.8 -12.5 -17.5 [7,] -17.3 -43.2 -70.3 -26.6 -16.7 -19.8 -20.9 -12.6 -51.7 -31.7 -49.1 -25.8 [8,] -17.7 -32.1 -12.3 8.0 -19.0 10.7 -3.7 -19.8 -19.4 -2.3 -54.9 -15.2 [9,] -31.4 15.3 -43.5 -13.2 -24.8 -4.7 -50.4 -5.4 -18.2 -3.8 -30.8 3.6 [10,] 28.6 -21.8 30.1 23.6 11.4 44.5 18.6 25.2 50.8 66.2 3.5 40.5 [11,] 17.2 12.0 5.3 -19.4 -4.9 34.7 -10.6 6.5 6.1 20.5 28.3 -11.5 [12,] 79.0 95.8 24.0 46.2 58.7 119.7 66.0 46.5 54.6 113.2 61.0 59.8 [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] -23.3 31.9 -14.0 24.3 -5.7 23.1 -13.5 2.5 21.3 4.8 38.8 2.8 [2,] 27.8 -23.1 -15.8 -42.8 -23.6 -47.3 -11.9 -23.0 -35.8 -17.6 -6.1 -26.7 [3,] -55.7 -53.6 -46.0 -44.9 -39.4 -20.7 -26.0 -29.0 -43.8 -20.5 -18.1 -48.1 [4,] -22.7 -21.6 8.9 -4.4 -30.3 -27.8 6.3 -20.6 -18.7 -24.2 -16.8 -30.0 [5,] 79.2 64.2 26.7 60.5 92.5 84.3 79.9 117.0 131.1 109.0 128.5 109.6 [6,] -28.8 -35.2 -39.0 -41.4 -77.8 -62.8 -54.2 -37.9 -39.8 -20.8 -15.9 -16.0 [7,] -17.3 -52.1 1.3 -38.5 -12.4 -26.4 -22.9 -30.7 -44.5 -31.2 -29.0 -26.9 [8,] -39.6 -40.6 -38.7 -28.5 -28.9 -32.3 -31.8 -4.7 -16.5 8.8 7.2 -22.1 [9,] 22.2 -17.1 -22.1 -7.6 -6.4 -13.3 -3.8 5.7 -9.7 -11.8 -3.3 -27.0 [10,] 43.0 7.8 49.2 46.4 12.0 17.9 11.4 -4.9 6.6 -13.0 34.8 24.5 [11,] 50.3 10.0 3.4 -7.0 9.1 -10.0 8.6 -18.3 -15.8 -8.3 2.9 -12.0 [12,] 86.5 58.0 86.7 73.0 53.2 45.6 49.4 35.4 45.7 77.9 77.8 75.2 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] -3.5 17.0 13.2 12.9 -14.1 26.1 -15.8 NA [2,] -19.7 -33.3 -38.5 5.0 -50.8 -55.3 -26.0 NA [3,] -51.8 -33.8 -45.4 -53.9 -63.5 -98.8 -79.1 NA [4,] -35.3 -37.5 -15.7 -19.7 -58.6 -41.7 -23.1 NA [5,] 108.2 104.8 123.6 94.6 135.1 130.2 86.9 NA [6,] -25.3 -29.7 -12.0 -36.0 -7.8 -51.2 11.2 NA [7,] -31.6 -34.2 -37.5 -51.3 -25.5 -18.4 -50.7 NA [8,] -19.9 -4.3 31.7 -17.4 -29.6 -32.0 -13.4 NA [9,] -18.8 -40.2 -15.8 -27.8 -19.3 -21.6 -33.7 NA [10,] -20.4 29.3 64.1 -1.3 26.2 12.5 16.9 NA [11,] -15.0 0.2 42.1 -3.6 -7.3 -46.6 9.6 NA [12,] 55.9 95.0 207.4 97.9 82.6 101.7 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/fisher/rcomp/tmp/1k9fc1355234913.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/2k7bp1355234913.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/3a53s1355234913.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/4mhsr1355234913.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] [,11] [1,] 213.20 196.40 182.8 176.40 153.60 173.20 171.00 151.20 161.90 148.0 159.4 [2,] 311.65 314.65 297.2 268.70 266.25 347.05 311.60 269.25 250.30 246.5 258.9 [3,] 411.90 417.20 416.4 360.70 338.40 405.70 367.90 355.10 331.50 323.1 357.0 [4,] 484.30 512.80 495.5 449.75 424.40 526.80 502.95 452.35 422.85 406.1 416.1 [5,] 689.70 803.30 755.6 689.00 630.40 765.50 757.70 675.70 643.70 622.1 634.6 [,12] [1,] 154.50 [2,] 264.35 [3,] 352.10 [4,] 429.30 [5,] 610.60 $n [1] 31 31 31 31 31 31 31 31 31 31 31 31 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 362.906 360.9697 360.1271 309.3223 293.5208 354.6912 313.5994 303.1405 [2,] 460.894 473.4303 472.6729 412.0777 383.2792 456.7088 422.2006 407.0595 [,9] [,10] [,11] [,12] [1,] 282.5344 277.8093 312.3904 305.2911 [2,] 380.4656 368.3907 401.6096 398.9089 $out [1] 818.0 817.4 784.8 830.9 810.9 835.9 782.0 762.3 856.9 820.9 769.6 732.2 [13] 752.2 702.6 724.4 683.3 723.1 709.5 719.5 702.2 $group [1] 1 1 1 2 2 3 4 5 6 7 8 8 9 9 10 10 11 11 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/5uzqa1355234913.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] [,11] [1,] -23.30 -55.30 -98.8 -47.20 2.30 -62.80 -70.30 -54.9 -50.40 -21.80 -19.4 [2,] -10.55 -34.80 -52.7 -30.15 38.55 -36.95 -40.85 -30.7 -25.90 9.60 -10.3 [3,] 4.80 -23.10 -38.5 -22.70 79.20 -23.10 -29.00 -19.0 -15.80 23.60 2.9 [4,] 23.70 -12.75 -20.0 -16.25 108.60 -9.90 -20.35 -4.5 -5.05 37.65 9.8 [5,] 65.20 5.40 -6.4 0.80 135.10 11.20 1.30 31.7 22.20 66.20 34.7 [,12] [1,] 24.0 [2,] 53.2 [3,] 69.5 [4,] 86.7 [5,] 119.7 $n [1] 31 31 31 31 31 31 31 31 31 31 31 30 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] -4.919341 -29.35727 -47.77949 -26.64449 59.32146 -30.77615 -34.81742 [2,] 14.519341 -16.84273 -29.22051 -18.75551 99.07854 -15.42385 -23.18258 [,8] [,9] [,10] [,11] [,12] [1,] -26.43494 -21.716737 15.64007 -2.803905 59.83635 [2,] -11.56506 -9.883263 31.55993 8.603905 79.16365 $out [1] 27.8 23.9 8.9 8.9 6.3 -58.6 42.2 -77.8 50.3 42.1 -46.6 207.4 $group [1] 2 4 4 4 4 4 6 6 11 11 11 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/6kklk1355234913.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] [,10] [1,] 174.70 299.50 205.50 175.40 148.00 151.20 292.90 228.40 209.10 246.50 [2,] 204.70 342.85 244.95 180.10 166.10 159.55 327.40 253.60 253.30 257.65 [3,] 229.45 360.25 328.95 196.40 187.70 174.80 360.95 267.60 275.45 283.25 [4,] 240.95 387.20 398.90 222.75 205.85 199.05 376.35 322.95 307.90 312.90 [5,] 280.70 438.80 479.10 264.90 234.00 236.40 403.70 366.90 317.90 333.20 [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [1,] 375.00 319.50 331.50 386.30 323.40 339.40 319.80 270.90 246.50 245.80 [2,] 406.30 333.70 357.20 403.75 374.30 377.15 336.35 286.50 262.20 280.75 [3,] 471.95 358.15 388.50 477.90 385.25 397.10 361.30 332.15 280.70 294.70 [4,] 510.70 403.90 414.15 532.40 427.10 449.80 433.90 382.00 307.95 317.15 [5,] 522.30 469.80 447.00 565.40 462.10 487.00 451.80 417.20 359.20 362.80 [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [1,] 230.40 230.00 338.40 439.40 411.60 376.30 414.4 719.5 630.40 588.00 545.70 [2,] 250.05 266.85 364.25 469.45 440.70 405.70 482.0 738.3 695.60 628.35 565.85 [3,] 268.95 285.50 423.95 495.05 477.70 419.10 509.2 775.8 720.85 666.25 586.40 [4,] 314.55 294.05 455.85 537.20 531.35 461.25 532.0 825.9 761.60 750.45 645.85 [5,] 361.50 318.20 466.90 549.00 544.70 484.70 568.5 856.9 817.40 810.90 689.70 [,32] [1,] NA [2,] NA [3,] NA [4,] NA [5,] NA $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 12 0 $conf [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 212.9161 340.0217 258.7324 176.947 169.5698 156.7838 338.6236 235.969 [2,] 245.9839 380.4783 399.1676 215.853 205.8302 192.8162 383.2764 299.231 [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [1,] 250.5466 258.0501 424.3325 326.1313 362.5247 419.2219 361.1676 363.9638 [2,] 300.3534 308.4499 519.5675 390.1687 414.4753 536.5781 409.3324 430.2362 [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [1,] 316.8068 288.5918 259.8331 278.0977 239.5311 273.0939 382.1706 464.1488 [2,] 405.7932 375.7082 301.5669 311.3023 298.3689 297.9061 465.7294 525.9512 [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [1,] 436.3539 393.7633 486.3947 735.8451 690.747 610.5594 549.9115 NA [2,] 519.0461 444.4367 532.0053 815.7549 750.953 721.9406 622.8885 NA $out [1] 339.0 610.6 $group [1] 22 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] "31" NA Warning message: In bxp(list(stats = c(174.7, 204.7, 229.45, 240.95, 280.7, 299.5, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/7tux41355234913.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,] 347.4581 323.10 326.3000 [2,] 366.2145 345.25 341.4125 [3,] 380.8710 358.85 360.0125 [4,] 426.8435 408.80 402.6250 [5,] 442.9258 417.20 436.9250 $n [1] 12 12 12 $conf [,1] [,2] [,3] [1,] 353.2177 329.8644 332.0931 [2,] 408.5243 387.8356 387.9319 $out numeric(0) $group numeric(0) $names [1] "mean" "median" "midrange" Warning message: In bxp(list(stats = c(347.458064516129, 366.214516129032, 380.870967741935, : some notches went outside hinges ('box'): maybe set notch=FALSE > dev.off() null device 1 > > try(system("convert tmp/1k9fc1355234913.ps tmp/1k9fc1355234913.png",intern=TRUE)) character(0) > try(system("convert tmp/2k7bp1355234913.ps tmp/2k7bp1355234913.png",intern=TRUE)) character(0) > try(system("convert tmp/3a53s1355234913.ps tmp/3a53s1355234913.png",intern=TRUE)) character(0) > try(system("convert tmp/4mhsr1355234913.ps tmp/4mhsr1355234913.png",intern=TRUE)) character(0) > try(system("convert tmp/5uzqa1355234913.ps tmp/5uzqa1355234913.png",intern=TRUE)) character(0) > try(system("convert tmp/6kklk1355234913.ps tmp/6kklk1355234913.png",intern=TRUE)) character(0) > try(system("convert tmp/7tux41355234913.ps tmp/7tux41355234913.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.598 0.985 4.574