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. 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+ ,0 + ,0 + ,0 + ,0 + ,1 + ,0 + ,0 + ,4 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,1 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,1 + ,0 + ,0 + ,2 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,1 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0) + ,dim=c(20 + ,521) + ,dimnames=list(c('y' + ,'c2' + ,'scha05' + ,'sch06' + ,'sch31' + ,'sch00' + ,'sch53' + ,'sch16' + ,'sch41' + ,'sch17' + ,'sch40' + ,'sch10' + ,'sch01' + ,'hak3' + ,'hak5' + ,'hak0' + ,'hak6' + ,'hak8' + ,'hak7' + ,'hak4') + ,1:521)) > y <- array(NA,dim=c(20,521),dimnames=list(c('y','c2','scha05','sch06','sch31','sch00','sch53','sch16','sch41','sch17','sch40','sch10','sch01','hak3','hak5','hak0','hak6','hak8','hak7','hak4'),1:521)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = 'No Linear Trend' > par2 = 'Do not include Seasonal Dummies' > par1 = '1' > library(lattice) > library(lmtest) Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from 'package:base': as.Date, as.Date.numeric > n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test > par1 <- as.numeric(par1) > x <- t(y) > k <- length(x[1,]) > n <- length(x[,1]) > x1 <- cbind(x[,par1], x[,1:k!=par1]) > mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1]) > colnames(x1) <- mycolnames #colnames(x)[par1] > x <- x1 > if (par3 == 'First Differences'){ + x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep=''))) + for (i in 1:n-1) { + for (j in 1:k) { + x2[i,j] <- x[i+1,j] - x[i,j] + } + } + x <- x2 + } > if (par2 == 'Include Monthly Dummies'){ + x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep =''))) + for (i in 1:11){ + x2[seq(i,n,12),i] <- 1 + } + x <- cbind(x, x2) + } > if (par2 == 'Include Quarterly Dummies'){ + x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep =''))) + for (i in 1:3){ + x2[seq(i,n,4),i] <- 1 + } + x <- cbind(x, x2) + } > k <- length(x[1,]) > if (par3 == 'Linear 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462 0 0 0 1 0 0 0 463 0 0 0 0 0 0 1 464 0 0 0 0 0 0 1 465 0 0 0 1 0 0 0 466 0 0 0 1 0 0 0 467 0 0 0 1 0 0 0 468 1 0 0 0 0 0 0 469 1 0 0 0 0 0 0 470 0 0 0 0 0 0 1 471 0 0 0 0 0 0 0 472 0 1 0 0 0 0 0 473 0 1 0 0 0 0 0 474 0 0 0 0 1 0 0 475 0 1 0 0 0 0 0 476 0 1 0 0 0 0 0 477 0 0 0 0 0 0 1 478 0 0 0 1 0 0 0 479 0 1 0 0 0 0 0 480 0 1 0 0 0 0 0 481 0 0 0 0 0 1 0 482 0 0 0 0 0 0 1 483 0 0 0 0 0 0 0 484 0 1 0 0 0 0 0 485 0 0 0 1 0 0 0 486 0 0 0 0 0 0 1 487 0 0 0 0 0 0 1 488 0 1 0 0 0 0 0 489 0 1 0 0 0 0 0 490 0 0 0 0 0 0 1 491 1 0 0 0 0 0 0 492 0 1 0 0 0 0 0 493 0 1 0 0 0 0 0 494 0 1 0 0 0 0 0 495 0 0 0 1 0 0 0 496 0 0 0 1 0 0 0 497 0 0 0 1 0 0 0 498 0 0 0 0 0 0 1 499 0 0 0 0 0 0 1 500 0 1 0 0 0 0 0 501 0 1 0 0 0 0 0 502 0 1 0 0 0 0 0 503 0 1 0 0 0 0 0 504 0 0 0 1 0 0 0 505 0 1 0 0 0 0 0 506 0 0 0 0 0 1 0 507 0 1 0 0 0 0 0 508 0 1 0 0 0 0 0 509 0 0 0 0 0 0 1 510 0 1 0 0 0 0 0 511 0 1 0 0 0 0 0 512 0 0 0 0 0 0 1 513 0 0 0 0 0 0 0 514 0 0 0 0 0 0 0 515 0 0 0 0 0 0 0 516 0 0 0 0 0 0 0 517 0 0 0 0 1 0 0 518 0 0 0 0 1 0 0 519 0 0 0 0 1 0 0 520 0 0 0 0 1 0 0 521 0 0 0 0 0 0 0 > k <- length(x[1,]) > df <- as.data.frame(x) > (mylm <- lm(df)) Call: lm(formula = df) Coefficients: (Intercept) c2 scha05 sch06 sch31 sch00 5.50037 3.28365 -2.71338 -0.83788 -0.60237 2.03336 sch53 sch16 sch41 sch17 sch40 sch10 -0.38961 -2.27481 -0.34417 0.01404 3.15918 -2.89223 sch01 hak3 hak5 hak0 hak6 hak8 -1.75180 0.54394 -0.15140 -0.89474 -0.17689 -2.99898 hak7 hak4 -1.08115 -1.03008 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -9.6660 -3.3375 -0.5784 2.3854 25.2160 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 5.50037 0.61896 8.886 < 2e-16 *** c2 3.28365 0.68322 4.806 2.04e-06 *** scha05 -2.71338 1.28136 -2.118 0.03470 * sch06 -0.83788 1.04206 -0.804 0.42175 sch31 -0.60237 1.20200 -0.501 0.61650 sch00 2.03336 0.99165 2.050 0.04084 * sch53 -0.38961 1.14777 -0.339 0.73441 sch16 -2.27481 2.02210 -1.125 0.26114 sch41 -0.34417 0.76465 -0.450 0.65283 sch17 0.01404 1.51258 0.009 0.99260 sch40 3.15918 0.74380 4.247 2.58e-05 *** sch10 -2.89223 1.07963 -2.679 0.00763 ** sch01 -1.75180 0.91968 -1.905 0.05738 . hak3 0.54394 0.97443 0.558 0.57694 hak5 -0.15140 0.69579 -0.218 0.82784 hak0 -0.89474 1.29950 -0.689 0.49144 hak6 -0.17689 0.79841 -0.222 0.82475 hak8 -2.99898 0.92759 -3.233 0.00131 ** hak7 -1.08115 0.75094 -1.440 0.15057 hak4 -1.03008 0.89787 -1.147 0.25183 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 4.909 on 501 degrees of freedom Multiple R-squared: 0.176, Adjusted R-squared: 0.1448 F-statistic: 5.633 on 19 and 501 DF, p-value: 9.537e-13 > if (n > n25) { + kp3 <- k + 3 + nmkm3 <- n - k - 3 + gqarr <- array(NA, dim=c(nmkm3-kp3+1,3)) + numgqtests <- 0 + numsignificant1 <- 0 + numsignificant5 <- 0 + numsignificant10 <- 0 + for (mypoint in kp3:nmkm3) { + j <- 0 + numgqtests <- numgqtests + 1 + for (myalt in c('greater', 'two.sided', 'less')) { + j <- j + 1 + gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value + } + if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1 + if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1 + if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1 + } + gqarr + } [,1] [,2] [,3] [1,] 2.418698e-01 4.837396e-01 7.581302e-01 [2,] 1.228243e-01 2.456487e-01 8.771757e-01 [3,] 5.566867e-02 1.113373e-01 9.443313e-01 [4,] 2.354613e-02 4.709226e-02 9.764539e-01 [5,] 9.475469e-03 1.895094e-02 9.905245e-01 [6,] 7.982493e-03 1.596499e-02 9.920175e-01 [7,] 3.181396e-03 6.362793e-03 9.968186e-01 [8,] 1.200794e-03 2.401587e-03 9.987992e-01 [9,] 4.472747e-04 8.945495e-04 9.995527e-01 [10,] 1.629777e-04 3.259553e-04 9.998370e-01 [11,] 5.471618e-05 1.094324e-04 9.999453e-01 [12,] 1.423448e-04 2.846895e-04 9.998577e-01 [13,] 5.725076e-05 1.145015e-04 9.999427e-01 [14,] 2.112488e-05 4.224976e-05 9.999789e-01 [15,] 7.825380e-06 1.565076e-05 9.999922e-01 [16,] 3.552931e-06 7.105861e-06 9.999964e-01 [17,] 1.873995e-06 3.747990e-06 9.999981e-01 [18,] 1.193403e-06 2.386806e-06 9.999988e-01 [19,] 4.379029e-07 8.758057e-07 9.999996e-01 [20,] 1.695012e-07 3.390024e-07 9.999998e-01 [21,] 7.785801e-08 1.557160e-07 9.999999e-01 [22,] 2.563623e-08 5.127246e-08 1.000000e+00 [23,] 1.021238e-08 2.042477e-08 1.000000e+00 [24,] 6.751717e-07 1.350343e-06 9.999993e-01 [25,] 2.816158e-07 5.632316e-07 9.999997e-01 [26,] 1.165573e-07 2.331146e-07 9.999999e-01 [27,] 4.558932e-08 9.117865e-08 1.000000e+00 [28,] 1.754470e-08 3.508940e-08 1.000000e+00 [29,] 1.031822e-08 2.063643e-08 1.000000e+00 [30,] 3.124977e-07 6.249955e-07 9.999997e-01 [31,] 1.430166e-07 2.860331e-07 9.999999e-01 [32,] 6.175279e-08 1.235056e-07 9.999999e-01 [33,] 2.055975e-07 4.111951e-07 9.999998e-01 [34,] 2.833003e-06 5.666005e-06 9.999972e-01 [35,] 6.576584e-06 1.315317e-05 9.999934e-01 [36,] 3.636702e-06 7.273405e-06 9.999964e-01 [37,] 2.022626e-06 4.045252e-06 9.999980e-01 [38,] 1.021411e-06 2.042823e-06 9.999990e-01 [39,] 5.463211e-07 1.092642e-06 9.999995e-01 [40,] 3.407152e-07 6.814304e-07 9.999997e-01 [41,] 1.795583e-07 3.591165e-07 9.999998e-01 [42,] 9.282223e-08 1.856445e-07 9.999999e-01 [43,] 7.222374e-08 1.444475e-07 9.999999e-01 [44,] 1.813421e-07 3.626842e-07 9.999998e-01 [45,] 9.885698e-08 1.977140e-07 9.999999e-01 [46,] 6.063752e-08 1.212750e-07 9.999999e-01 [47,] 3.155163e-08 6.310327e-08 1.000000e+00 [48,] 2.374027e-08 4.748054e-08 1.000000e+00 [49,] 2.280660e-08 4.561319e-08 1.000000e+00 [50,] 1.218972e-08 2.437943e-08 1.000000e+00 [51,] 7.309203e-09 1.461841e-08 1.000000e+00 [52,] 4.520650e-09 9.041299e-09 1.000000e+00 [53,] 3.203021e-09 6.406042e-09 1.000000e+00 [54,] 8.962715e-09 1.792543e-08 1.000000e+00 [55,] 4.800983e-09 9.601966e-09 1.000000e+00 [56,] 2.526542e-09 5.053085e-09 1.000000e+00 [57,] 1.240894e-09 2.481788e-09 1.000000e+00 [58,] 5.486980e-09 1.097396e-08 1.000000e+00 [59,] 5.978119e-08 1.195624e-07 9.999999e-01 [60,] 1.516591e-02 3.033181e-02 9.848341e-01 [61,] 2.496289e-02 4.992579e-02 9.750371e-01 [62,] 2.069230e-02 4.138460e-02 9.793077e-01 [63,] 2.955574e-02 5.911149e-02 9.704443e-01 [64,] 2.477827e-02 4.955654e-02 9.752217e-01 [65,] 3.130400e-02 6.260799e-02 9.686960e-01 [66,] 2.538878e-02 5.077756e-02 9.746112e-01 [67,] 3.195310e-02 6.390620e-02 9.680469e-01 [68,] 2.592777e-02 5.185554e-02 9.740722e-01 [69,] 2.195922e-02 4.391845e-02 9.780408e-01 [70,] 3.983467e-02 7.966933e-02 9.601653e-01 [71,] 3.254112e-02 6.508224e-02 9.674589e-01 [72,] 2.820346e-02 5.640692e-02 9.717965e-01 [73,] 2.603486e-02 5.206973e-02 9.739651e-01 [74,] 2.226039e-02 4.452079e-02 9.777396e-01 [75,] 1.945988e-02 3.891976e-02 9.805401e-01 [76,] 1.696048e-02 3.392097e-02 9.830395e-01 [77,] 1.403005e-02 2.806010e-02 9.859699e-01 [78,] 1.268053e-02 2.536105e-02 9.873195e-01 [79,] 1.032371e-02 2.064742e-02 9.896763e-01 [80,] 1.962192e-02 3.924384e-02 9.803781e-01 [81,] 2.651328e-02 5.302656e-02 9.734867e-01 [82,] 2.164264e-02 4.328528e-02 9.783574e-01 [83,] 1.880064e-02 3.760128e-02 9.811994e-01 [84,] 1.981933e-02 3.963866e-02 9.801807e-01 [85,] 1.843869e-02 3.687738e-02 9.815613e-01 [86,] 2.101896e-02 4.203792e-02 9.789810e-01 [87,] 1.872729e-02 3.745458e-02 9.812727e-01 [88,] 1.941064e-02 3.882129e-02 9.805894e-01 [89,] 1.681409e-02 3.362819e-02 9.831859e-01 [90,] 1.423087e-02 2.846174e-02 9.857691e-01 [91,] 1.220368e-02 2.440736e-02 9.877963e-01 [92,] 1.120904e-02 2.241807e-02 9.887910e-01 [93,] 1.005609e-02 2.011218e-02 9.899439e-01 [94,] 9.496330e-03 1.899266e-02 9.905037e-01 [95,] 8.708894e-03 1.741779e-02 9.912911e-01 [96,] 7.042633e-03 1.408527e-02 9.929574e-01 [97,] 5.582618e-03 1.116524e-02 9.944174e-01 [98,] 4.434277e-03 8.868555e-03 9.955657e-01 [99,] 3.533159e-03 7.066318e-03 9.964668e-01 [100,] 2.970313e-03 5.940626e-03 9.970297e-01 [101,] 2.359887e-03 4.719774e-03 9.976401e-01 [102,] 1.833283e-03 3.666566e-03 9.981667e-01 [103,] 1.427660e-03 2.855321e-03 9.985723e-01 [104,] 1.091734e-03 2.183468e-03 9.989083e-01 [105,] 8.329034e-04 1.665807e-03 9.991671e-01 [106,] 6.385708e-04 1.277142e-03 9.993614e-01 [107,] 4.860941e-04 9.721881e-04 9.995139e-01 [108,] 3.739149e-04 7.478299e-04 9.996261e-01 [109,] 2.794210e-04 5.588420e-04 9.997206e-01 [110,] 2.100253e-04 4.200507e-04 9.997900e-01 [111,] 2.356258e-04 4.712515e-04 9.997644e-01 [112,] 2.620559e-04 5.241118e-04 9.997379e-01 [113,] 2.720417e-04 5.440834e-04 9.997280e-01 [114,] 2.461989e-04 4.923978e-04 9.997538e-01 [115,] 2.594243e-04 5.188486e-04 9.997406e-01 [116,] 2.221551e-04 4.443102e-04 9.997778e-01 [117,] 2.206249e-04 4.412498e-04 9.997794e-01 [118,] 2.003232e-04 4.006464e-04 9.997997e-01 [119,] 1.563216e-04 3.126432e-04 9.998437e-01 [120,] 1.165541e-04 2.331082e-04 9.998834e-01 [121,] 9.106397e-05 1.821279e-04 9.999089e-01 [122,] 1.817318e-04 3.634637e-04 9.998183e-01 [123,] 1.952536e-04 3.905071e-04 9.998047e-01 [124,] 1.962935e-04 3.925871e-04 9.998037e-01 [125,] 2.208442e-04 4.416883e-04 9.997792e-01 [126,] 1.728801e-04 3.457602e-04 9.998271e-01 [127,] 1.565816e-04 3.131633e-04 9.998434e-01 [128,] 1.171770e-04 2.343539e-04 9.998828e-01 [129,] 1.058143e-04 2.116286e-04 9.998942e-01 [130,] 8.425133e-05 1.685027e-04 9.999157e-01 [131,] 8.818023e-05 1.763605e-04 9.999118e-01 [132,] 8.835874e-04 1.767175e-03 9.991164e-01 [133,] 8.524199e-04 1.704840e-03 9.991476e-01 [134,] 7.144525e-04 1.428905e-03 9.992855e-01 [135,] 5.810364e-04 1.162073e-03 9.994190e-01 [136,] 6.148452e-04 1.229690e-03 9.993852e-01 [137,] 5.374648e-04 1.074930e-03 9.994625e-01 [138,] 5.616415e-04 1.123283e-03 9.994384e-01 [139,] 1.860069e-03 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8.275152e-02 4.137576e-02 [335,] 9.528552e-01 9.428962e-02 4.714481e-02 [336,] 9.517743e-01 9.645150e-02 4.822575e-02 [337,] 9.531959e-01 9.360824e-02 4.680412e-02 [338,] 9.469997e-01 1.060006e-01 5.300031e-02 [339,] 9.444575e-01 1.110850e-01 5.554251e-02 [340,] 9.370220e-01 1.259561e-01 6.297805e-02 [341,] 9.331808e-01 1.336385e-01 6.681923e-02 [342,] 9.241504e-01 1.516992e-01 7.584959e-02 [343,] 9.169026e-01 1.661948e-01 8.309738e-02 [344,] 9.167056e-01 1.665888e-01 8.329438e-02 [345,] 9.084774e-01 1.830451e-01 9.152255e-02 [346,] 8.979848e-01 2.040305e-01 1.020152e-01 [347,] 8.863280e-01 2.273439e-01 1.136720e-01 [348,] 8.747903e-01 2.504194e-01 1.252097e-01 [349,] 8.628437e-01 2.743126e-01 1.371563e-01 [350,] 8.510510e-01 2.978979e-01 1.489490e-01 [351,] 8.339654e-01 3.320691e-01 1.660346e-01 [352,] 8.259594e-01 3.480813e-01 1.740406e-01 [353,] 8.225650e-01 3.548701e-01 1.774350e-01 [354,] 8.032079e-01 3.935843e-01 1.967921e-01 [355,] 7.933196e-01 4.133609e-01 2.066804e-01 [356,] 7.784839e-01 4.430323e-01 2.215161e-01 [357,] 7.695930e-01 4.608140e-01 2.304070e-01 [358,] 7.689902e-01 4.620197e-01 2.310098e-01 [359,] 7.483173e-01 5.033654e-01 2.516827e-01 [360,] 7.242421e-01 5.515158e-01 2.757579e-01 [361,] 6.989354e-01 6.021291e-01 3.010646e-01 [362,] 6.953634e-01 6.092731e-01 3.046366e-01 [363,] 6.779768e-01 6.440465e-01 3.220232e-01 [364,] 6.584978e-01 6.830044e-01 3.415022e-01 [365,] 6.337452e-01 7.325095e-01 3.662548e-01 [366,] 6.103426e-01 7.793147e-01 3.896574e-01 [367,] 6.091455e-01 7.817090e-01 3.908545e-01 [368,] 5.896568e-01 8.206863e-01 4.103432e-01 [369,] 5.619150e-01 8.761700e-01 4.380850e-01 [370,] 5.391969e-01 9.216063e-01 4.608031e-01 [371,] 5.283257e-01 9.433486e-01 4.716743e-01 [372,] 5.089315e-01 9.821370e-01 4.910685e-01 [373,] 4.779212e-01 9.558425e-01 5.220788e-01 [374,] 4.502584e-01 9.005168e-01 5.497416e-01 [375,] 4.227668e-01 8.455337e-01 5.772332e-01 [376,] 3.956269e-01 7.912539e-01 6.043731e-01 [377,] 3.907054e-01 7.814108e-01 6.092946e-01 [378,] 3.692486e-01 7.384973e-01 6.307514e-01 [379,] 3.517279e-01 7.034558e-01 6.482721e-01 [380,] 3.396451e-01 6.792903e-01 6.603549e-01 [381,] 3.172786e-01 6.345573e-01 6.827214e-01 [382,] 3.051737e-01 6.103475e-01 6.948263e-01 [383,] 3.073681e-01 6.147363e-01 6.926319e-01 [384,] 2.988225e-01 5.976450e-01 7.011775e-01 [385,] 3.004831e-01 6.009662e-01 6.995169e-01 [386,] 3.665819e-01 7.331639e-01 6.334181e-01 [387,] 3.459445e-01 6.918890e-01 6.540555e-01 [388,] 3.177209e-01 6.354418e-01 6.822791e-01 [389,] 3.082206e-01 6.164413e-01 6.917794e-01 [390,] 2.839553e-01 5.679106e-01 7.160447e-01 [391,] 2.698374e-01 5.396747e-01 7.301626e-01 [392,] 2.820610e-01 5.641220e-01 7.179390e-01 [393,] 2.886411e-01 5.772821e-01 7.113589e-01 [394,] 3.332286e-01 6.664571e-01 6.667714e-01 [395,] 3.272280e-01 6.544559e-01 6.727720e-01 [396,] 3.240909e-01 6.481818e-01 6.759091e-01 [397,] 3.247655e-01 6.495311e-01 6.752345e-01 [398,] 3.321076e-01 6.642151e-01 6.678924e-01 [399,] 3.730747e-01 7.461493e-01 6.269253e-01 [400,] 3.718186e-01 7.436372e-01 6.281814e-01 [401,] 4.047383e-01 8.094766e-01 5.952617e-01 [402,] 4.028138e-01 8.056275e-01 5.971862e-01 [403,] 4.115113e-01 8.230227e-01 5.884887e-01 [404,] 3.985973e-01 7.971946e-01 6.014027e-01 [405,] 4.118802e-01 8.237604e-01 5.881198e-01 [406,] 3.808910e-01 7.617819e-01 6.191090e-01 [407,] 4.044944e-01 8.089887e-01 5.955056e-01 [408,] 4.297191e-01 8.594382e-01 5.702809e-01 [409,] 3.995171e-01 7.990342e-01 6.004829e-01 [410,] 3.646985e-01 7.293969e-01 6.353015e-01 [411,] 3.474702e-01 6.949404e-01 6.525298e-01 [412,] 3.159783e-01 6.319565e-01 6.840217e-01 [413,] 2.891624e-01 5.783247e-01 7.108376e-01 [414,] 3.132252e-01 6.264504e-01 6.867748e-01 [415,] 3.772807e-01 7.545615e-01 6.227193e-01 [416,] 3.512312e-01 7.024624e-01 6.487688e-01 [417,] 3.188051e-01 6.376102e-01 6.811949e-01 [418,] 3.162785e-01 6.325569e-01 6.837215e-01 [419,] 2.980092e-01 5.960184e-01 7.019908e-01 [420,] 3.016752e-01 6.033504e-01 6.983248e-01 [421,] 2.803793e-01 5.607586e-01 7.196207e-01 [422,] 2.680026e-01 5.360052e-01 7.319974e-01 [423,] 2.372162e-01 4.744324e-01 7.627838e-01 [424,] 2.093947e-01 4.187893e-01 7.906053e-01 [425,] 1.835613e-01 3.671226e-01 8.164387e-01 [426,] 1.614737e-01 3.229475e-01 8.385263e-01 [427,] 1.633542e-01 3.267085e-01 8.366458e-01 [428,] 1.474570e-01 2.949140e-01 8.525430e-01 [429,] 1.279398e-01 2.558796e-01 8.720602e-01 [430,] 1.123420e-01 2.246841e-01 8.876580e-01 [431,] 1.276796e-01 2.553591e-01 8.723204e-01 [432,] 1.252457e-01 2.504913e-01 8.747543e-01 [433,] 1.465178e-01 2.930357e-01 8.534822e-01 [434,] 1.307211e-01 2.614423e-01 8.692789e-01 [435,] 1.191328e-01 2.382656e-01 8.808672e-01 [436,] 2.260889e-01 4.521777e-01 7.739111e-01 [437,] 3.415547e-01 6.831095e-01 6.584453e-01 [438,] 3.228990e-01 6.457980e-01 6.771010e-01 [439,] 2.995420e-01 5.990840e-01 7.004580e-01 [440,] 2.606970e-01 5.213940e-01 7.393030e-01 [441,] 2.289493e-01 4.578987e-01 7.710507e-01 [442,] 2.118356e-01 4.236711e-01 7.881644e-01 [443,] 1.826494e-01 3.652989e-01 8.173506e-01 [444,] 2.050978e-01 4.101956e-01 7.949022e-01 [445,] 3.521726e-01 7.043451e-01 6.478274e-01 [446,] 3.310511e-01 6.621022e-01 6.689489e-01 [447,] 3.003791e-01 6.007581e-01 6.996209e-01 [448,] 2.742064e-01 5.484128e-01 7.257936e-01 [449,] 2.965262e-01 5.930525e-01 7.034738e-01 [450,] 4.074295e-01 8.148590e-01 5.925705e-01 [451,] 4.664835e-01 9.329670e-01 5.335165e-01 [452,] 4.529879e-01 9.059757e-01 5.470121e-01 [453,] 3.977843e-01 7.955687e-01 6.022157e-01 [454,] 6.413747e-01 7.172506e-01 3.586253e-01 [455,] 6.393788e-01 7.212424e-01 3.606212e-01 [456,] 7.618382e-01 4.763237e-01 2.381618e-01 [457,] 7.102835e-01 5.794329e-01 2.897165e-01 [458,] 6.801394e-01 6.397212e-01 3.198606e-01 [459,] 6.710038e-01 6.579924e-01 3.289962e-01 [460,] 6.145523e-01 7.708953e-01 3.854477e-01 [461,] 5.476449e-01 9.047103e-01 4.523551e-01 [462,] 4.887555e-01 9.775110e-01 5.112445e-01 [463,] 6.348683e-01 7.302633e-01 3.651317e-01 [464,] 5.886229e-01 8.227543e-01 4.113771e-01 [465,] 5.176910e-01 9.646179e-01 4.823090e-01 [466,] 4.920740e-01 9.841480e-01 5.079260e-01 [467,] 4.469727e-01 8.939454e-01 5.530273e-01 [468,] 3.830961e-01 7.661923e-01 6.169039e-01 [469,] 3.017049e-01 6.034099e-01 6.982951e-01 [470,] 2.555373e-01 5.110745e-01 7.444627e-01 [471,] 2.200935e-01 4.401870e-01 7.799065e-01 [472,] 1.839228e-01 3.678456e-01 8.160772e-01 [473,] 1.360112e-01 2.720224e-01 8.639888e-01 [474,] 1.340387e-01 2.680774e-01 8.659613e-01 [475,] 7.727492e-02 1.545498e-01 9.227251e-01 [476,] 5.830223e-02 1.166045e-01 9.416978e-01 > postscript(file="/var/wessaorg/rcomp/tmp/1xyj61356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index') > points(x[,1]-mysum$resid) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/2g5m51356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3czcw1356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/42txu1356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/5k4h31356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qqnorm(mysum$resid, main='Residual Normal Q-Q Plot') > qqline(mysum$resid) > grid() > dev.off() null device 1 > (myerror <- as.ts(mysum$resid)) Time Series: Start = 1 End = 521 Frequency = 1 1 2 3 4 5 6 1.385420174 2.385420174 -0.490082889 -3.725593893 -7.665979661 -0.216019781 7 8 9 10 11 12 -2.216019781 -1.330826425 0.669173575 3.669173575 -1.330826425 0.783980219 13 14 15 16 17 18 -4.979307667 -1.157219862 5.211988412 -3.337517453 0.924950228 -3.660573113 19 20 21 22 23 24 -5.578403023 0.390839749 -1.075049772 -6.482660919 -3.337517453 -2.979307667 25 26 27 28 29 30 -3.323480570 -4.578403023 -3.660573113 -4.075049772 -1.157219862 1.959445993 31 32 33 34 35 36 -1.861702670 -2.861702670 -2.070636079 -3.040554007 -1.040554007 -6.002137729 37 38 39 40 41 42 -7.032219801 -4.002137729 -3.002137729 -4.032219801 8.889241877 7.889241877 43 44 45 46 47 48 -2.216019781 0.337506586 -2.216019781 1.232244929 -1.767755071 -1.216019781 49 50 51 52 53 54 -3.660573113 -3.660573113 -1.660573113 6.842780138 -4.578403023 -2.660573113 55 56 57 58 59 60 0.421596977 1.517339081 4.020692333 0.843801376 -1.157219862 -2.004800791 61 62 63 64 65 66 -3.660573113 -2.157219862 -5.508154043 -3.660573113 -4.075049772 3.995199209 67 68 69 70 71 72 -0.075049772 1.995199209 -1.157219862 -5.660573113 -3.156198624 0.842780138 73 74 75 76 77 78 -3.075049772 -5.817377494 -4.919238246 2.108215258 -4.725593893 -4.725593893 79 80 81 82 83 84 1.385420174 0.969747688 3.997862271 24.638678759 1.353343695 -1.753935184 85 86 87 88 89 90 -8.327961003 -4.002137729 -3.787295422 -1.327961003 0.818349855 2.385420174 91 92 93 94 95 96 -6.784017256 -9.665979661 1.564271511 -4.665979661 -0.032219801 -4.665979661 97 98 99 100 101 102 -2.753935184 -7.004759188 -4.794741309 2.108215258 -3.002137729 -7.361321241 103 104 105 106 107 108 1.995240812 0.083942930 -1.435728489 -6.817377494 -2.614579826 -6.361321241 109 110 111 112 113 114 -1.784017256 -4.435728489 -0.327961003 -3.794741309 0.818349855 -0.880821968 115 116 117 118 119 120 2.995199209 -3.156198624 -4.004800791 0.391860987 1.391860987 0.391860987 121 122 123 124 125 126 -2.004800791 -0.786990350 -0.608139013 1.391860987 -2.075049772 0.391860987 127 128 129 130 131 132 -1.075049772 -2.500371527 -2.500371527 0.959445993 0.083942930 -0.916057070 133 134 135 136 137 138 2.119178032 -8.632619423 -6.151568073 1.119178032 0.367380577 -4.665979661 139 140 141 142 143 144 1.212704578 -3.916057070 -1.151568073 -0.503649694 1.083942930 6.651026306 145 146 147 148 149 150 -7.508154043 3.995199209 4.959445993 0.138297330 -5.632619423 -0.337517453 151 152 153 154 155 156 0.334020339 1.995199209 4.020692333 15.299857628 6.299857628 -2.156198624 157 158 159 160 161 162 0.970390729 6.970390729 -0.029609271 2.340448124 9.340448124 -2.508154043 163 164 165 166 167 168 -0.508154043 0.421596977 3.491845957 -3.659551876 -6.659551876 -4.578403023 169 170 171 172 173 174 3.421596977 17.491845957 -6.659551876 -3.323480570 2.485591590 7.421596977 175 176 177 178 179 180 10.421596977 5.580777325 -6.508154043 -1.578403023 -1.659551876 7.340448124 181 182 183 184 185 186 14.340448124 -2.419222675 -7.659551876 -0.578403023 1.340448124 4.340448124 187 188 189 190 191 192 2.491845957 1.299857628 11.421596977 -0.419222675 -3.659551876 15.491845957 193 194 195 196 197 198 4.995199209 4.340448124 2.421596977 2.491845957 9.580777325 -0.578403023 199 200 201 202 203 204 3.340448124 2.299857628 0.995199209 -7.659551876 -2.659551876 -0.508154043 205 206 207 208 209 210 -2.659551876 -2.419222675 11.491845957 4.340448124 9.340448124 -5.659551876 211 212 213 214 215 216 6.340448124 -1.323480570 -2.508154043 3.421596977 -1.323480570 15.340448124 217 218 219 220 221 222 -1.508154043 5.340448124 7.340448124 0.340448124 -4.514408410 -3.514408410 223 224 225 226 227 228 -5.500371527 -5.500371527 -2.786990350 -5.700142372 -1.786990350 -0.348973694 229 230 231 232 233 234 -5.500371527 -3.700142372 -2.514408410 -1.348973694 -4.500371527 4.651026306 235 236 237 238 239 240 -4.500371527 -5.500371527 -5.700142372 -1.756908278 -3.225564767 -1.470289455 241 242 243 244 245 246 -2.632411342 2.842780138 -2.632411342 -0.534753003 -2.225564767 -0.534753003 247 248 249 250 251 252 -2.500371527 16.215982744 1.215982744 10.215982744 7.215982744 5.215982744 253 254 255 256 257 258 1.215982744 3.215982744 11.215982744 13.215982744 4.215982744 8.215982744 259 260 261 262 263 264 25.215982744 8.394366816 0.394366816 1.394366816 -3.605633184 0.421596977 265 266 267 268 269 270 -0.470289455 1.402823760 3.924950228 2.402823760 -0.659551876 -5.578403023 271 272 273 274 275 276 -7.578403023 -3.419222675 5.514397543 -4.485602457 -3.075049772 5.332574780 277 278 279 280 281 282 2.514397543 3.873883448 -0.979307667 -1.456741180 1.643159191 4.402823760 283 284 285 286 287 288 -5.508154043 -3.508154043 -7.578403023 -4.156198624 -6.578403023 1.473009839 289 290 291 292 293 294 -2.578403023 -0.578403023 -6.578403023 -5.578403023 4.491845957 -4.508154043 295 296 297 298 299 300 -2.667425220 1.332574780 -1.667425220 -0.292517820 -2.667425220 -4.292517820 301 302 303 304 305 306 -1.667425220 -0.667425220 -2.667425220 -0.667425220 -2.157219862 1.924950228 307 308 309 310 311 312 -0.534753003 3.418655439 1.465246997 -1.157219862 -4.075049772 3.484570353 313 314 315 316 317 318 -1.534753003 -2.534753003 -2.534753003 -0.515429647 -3.581344561 -5.500371527 319 320 321 322 323 324 -1.500371527 -4.419222675 -2.500371527 -5.500371527 -4.156198624 -4.500371527 325 326 327 328 329 330 -3.500371527 1.499628473 -2.500371527 -5.500371527 -2.075049772 -1.157219862 331 332 333 334 335 336 -0.157219862 0.580777325 -2.482660919 -0.979307667 -3.075049772 -1.979307667 337 338 339 340 341 342 -5.500371527 -2.979307667 -2.044315275 -5.578403023 -6.659551876 -1.348973694 343 344 345 346 347 348 -1.157219862 1.390839749 -2.500371527 6.499628473 -4.500371527 1.889241877 349 350 351 352 353 354 -2.080676052 -5.500371527 -4.959360291 4.211988412 -0.419222675 0.842780138 355 356 357 358 359 360 0.499628473 -2.157219862 0.919323948 -5.500371527 -1.419222675 3.774435233 361 362 363 364 365 366 5.924950228 1.924950228 3.391860987 -1.608139013 -2.605633184 4.394366816 367 368 369 370 371 372 -2.608139013 0.394366816 -1.608139013 -2.029609271 -3.080676052 -2.029609271 373 374 375 376 377 378 -0.029609271 -2.029609271 3.919323948 -0.080676052 2.367380577 3.517339081 379 380 381 382 383 384 4.676519430 5.676519430 -0.323480570 -0.181650145 -0.181650145 1.215982744 385 386 387 388 389 390 -4.784017256 -1.979307667 1.969747688 0.367380577 5.676519430 3.676519430 391 392 393 394 395 396 -0.323480570 3.020692333 4.676519430 -2.794741309 0.205258691 1.969747688 397 398 399 400 401 402 2.020692333 -3.156198624 1.843801376 -3.004800791 -0.156198624 -0.156198624 403 404 405 406 407 408 -1.323480570 -3.348973694 -4.348973694 -2.323480570 -3.482660919 -6.482660919 409 410 411 412 413 414 0.517339081 -2.605633184 -4.662493414 -3.748574073 -1.597176240 -3.597176240 415 416 417 418 419 420 -4.662493414 -4.662493414 -5.004800791 -5.004800791 -5.004800791 -3.348973694 421 422 423 424 425 426 -4.348973694 -4.004800791 -6.002137729 -6.327961003 -4.880821968 -2.002137729 427 428 429 430 431 432 -7.665979661 -4.040554007 8.370530196 -0.452582913 2.997862271 0.367380577 433 434 435 436 437 438 -4.933867167 2.119178032 3.707482180 -5.004800791 -5.044315275 3.274406107 439 440 441 442 443 444 1.392873701 2.066132833 6.547417087 9.547417087 5.250404690 1.843801376 445 446 447 448 449 450 0.020692333 0.517339081 2.491845957 2.969747688 8.707482180 5.205258691 451 452 453 454 455 456 -4.933867167 5.547417087 7.020692333 -3.004800791 -6.607126299 5.083942930 457 458 459 460 461 462 1.676519430 -3.075049772 -7.576163549 0.995199209 7.547417087 1.392873701 463 464 465 466 467 468 3.232027934 1.281507999 3.020692333 7.020692333 -8.482660919 5.707482180 469 470 471 472 473 474 5.274406107 5.083942930 -4.500371527 -7.382333933 3.651026306 11.250404690 475 476 477 478 479 480 0.969747688 -2.508154043 5.083942930 8.392873701 2.205258691 3.969747688 481 482 483 484 485 486 12.547417087 7.515673662 2.340448124 1.617666067 -0.323480570 4.246064816 487 488 489 490 491 492 -1.916057070 -3.030252312 2.617666067 2.997862271 0.922324487 10.402823760 493 494 495 496 497 498 13.491845957 9.617666067 4.392873701 3.020692333 -4.979307667 7.873883448 499 500 501 502 503 504 -6.002137729 -7.665979661 -4.030252312 1.969747688 1.969747688 3.517339081 505 506 507 508 509 510 5.969747688 7.547417087 -0.004800791 10.488904419 0.083942930 8.119178032 511 512 513 514 515 516 6.367380577 6.873883448 -0.608139013 -1.608139013 2.391860987 2.391860987 517 518 519 520 521 1.842780138 4.842780138 2.842780138 1.842780138 -0.608139013 > postscript(file="/var/wessaorg/rcomp/tmp/6yysw1356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > dum <- cbind(lag(myerror,k=1),myerror) > dum Time Series: Start = 0 End = 521 Frequency = 1 lag(myerror, k = 1) myerror 0 1.385420174 NA 1 2.385420174 1.385420174 2 -0.490082889 2.385420174 3 -3.725593893 -0.490082889 4 -7.665979661 -3.725593893 5 -0.216019781 -7.665979661 6 -2.216019781 -0.216019781 7 -1.330826425 -2.216019781 8 0.669173575 -1.330826425 9 3.669173575 0.669173575 10 -1.330826425 3.669173575 11 0.783980219 -1.330826425 12 -4.979307667 0.783980219 13 -1.157219862 -4.979307667 14 5.211988412 -1.157219862 15 -3.337517453 5.211988412 16 0.924950228 -3.337517453 17 -3.660573113 0.924950228 18 -5.578403023 -3.660573113 19 0.390839749 -5.578403023 20 -1.075049772 0.390839749 21 -6.482660919 -1.075049772 22 -3.337517453 -6.482660919 23 -2.979307667 -3.337517453 24 -3.323480570 -2.979307667 25 -4.578403023 -3.323480570 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-0.156198624 403 -3.348973694 -1.323480570 404 -4.348973694 -3.348973694 405 -2.323480570 -4.348973694 406 -3.482660919 -2.323480570 407 -6.482660919 -3.482660919 408 0.517339081 -6.482660919 409 -2.605633184 0.517339081 410 -4.662493414 -2.605633184 411 -3.748574073 -4.662493414 412 -1.597176240 -3.748574073 413 -3.597176240 -1.597176240 414 -4.662493414 -3.597176240 415 -4.662493414 -4.662493414 416 -5.004800791 -4.662493414 417 -5.004800791 -5.004800791 418 -5.004800791 -5.004800791 419 -3.348973694 -5.004800791 420 -4.348973694 -3.348973694 421 -4.004800791 -4.348973694 422 -6.002137729 -4.004800791 423 -6.327961003 -6.002137729 424 -4.880821968 -6.327961003 425 -2.002137729 -4.880821968 426 -7.665979661 -2.002137729 427 -4.040554007 -7.665979661 428 8.370530196 -4.040554007 429 -0.452582913 8.370530196 430 2.997862271 -0.452582913 431 0.367380577 2.997862271 432 -4.933867167 0.367380577 433 2.119178032 -4.933867167 434 3.707482180 2.119178032 435 -5.004800791 3.707482180 436 -5.044315275 -5.004800791 437 3.274406107 -5.044315275 438 1.392873701 3.274406107 439 2.066132833 1.392873701 440 6.547417087 2.066132833 441 9.547417087 6.547417087 442 5.250404690 9.547417087 443 1.843801376 5.250404690 444 0.020692333 1.843801376 445 0.517339081 0.020692333 446 2.491845957 0.517339081 447 2.969747688 2.491845957 448 8.707482180 2.969747688 449 5.205258691 8.707482180 450 -4.933867167 5.205258691 451 5.547417087 -4.933867167 452 7.020692333 5.547417087 453 -3.004800791 7.020692333 454 -6.607126299 -3.004800791 455 5.083942930 -6.607126299 456 1.676519430 5.083942930 457 -3.075049772 1.676519430 458 -7.576163549 -3.075049772 459 0.995199209 -7.576163549 460 7.547417087 0.995199209 461 1.392873701 7.547417087 462 3.232027934 1.392873701 463 1.281507999 3.232027934 464 3.020692333 1.281507999 465 7.020692333 3.020692333 466 -8.482660919 7.020692333 467 5.707482180 -8.482660919 468 5.274406107 5.707482180 469 5.083942930 5.274406107 470 -4.500371527 5.083942930 471 -7.382333933 -4.500371527 472 3.651026306 -7.382333933 473 11.250404690 3.651026306 474 0.969747688 11.250404690 475 -2.508154043 0.969747688 476 5.083942930 -2.508154043 477 8.392873701 5.083942930 478 2.205258691 8.392873701 479 3.969747688 2.205258691 480 12.547417087 3.969747688 481 7.515673662 12.547417087 482 2.340448124 7.515673662 483 1.617666067 2.340448124 484 -0.323480570 1.617666067 485 4.246064816 -0.323480570 486 -1.916057070 4.246064816 487 -3.030252312 -1.916057070 488 2.617666067 -3.030252312 489 2.997862271 2.617666067 490 0.922324487 2.997862271 491 10.402823760 0.922324487 492 13.491845957 10.402823760 493 9.617666067 13.491845957 494 4.392873701 9.617666067 495 3.020692333 4.392873701 496 -4.979307667 3.020692333 497 7.873883448 -4.979307667 498 -6.002137729 7.873883448 499 -7.665979661 -6.002137729 500 -4.030252312 -7.665979661 501 1.969747688 -4.030252312 502 1.969747688 1.969747688 503 3.517339081 1.969747688 504 5.969747688 3.517339081 505 7.547417087 5.969747688 506 -0.004800791 7.547417087 507 10.488904419 -0.004800791 508 0.083942930 10.488904419 509 8.119178032 0.083942930 510 6.367380577 8.119178032 511 6.873883448 6.367380577 512 -0.608139013 6.873883448 513 -1.608139013 -0.608139013 514 2.391860987 -1.608139013 515 2.391860987 2.391860987 516 1.842780138 2.391860987 517 4.842780138 1.842780138 518 2.842780138 4.842780138 519 1.842780138 2.842780138 520 -0.608139013 1.842780138 521 NA -0.608139013 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] 2.385420174 1.385420174 [2,] -0.490082889 2.385420174 [3,] -3.725593893 -0.490082889 [4,] -7.665979661 -3.725593893 [5,] -0.216019781 -7.665979661 [6,] -2.216019781 -0.216019781 [7,] -1.330826425 -2.216019781 [8,] 0.669173575 -1.330826425 [9,] 3.669173575 0.669173575 [10,] -1.330826425 3.669173575 [11,] 0.783980219 -1.330826425 [12,] -4.979307667 0.783980219 [13,] -1.157219862 -4.979307667 [14,] 5.211988412 -1.157219862 [15,] -3.337517453 5.211988412 [16,] 0.924950228 -3.337517453 [17,] -3.660573113 0.924950228 [18,] -5.578403023 -3.660573113 [19,] 0.390839749 -5.578403023 [20,] -1.075049772 0.390839749 [21,] -6.482660919 -1.075049772 [22,] -3.337517453 -6.482660919 [23,] -2.979307667 -3.337517453 [24,] -3.323480570 -2.979307667 [25,] -4.578403023 -3.323480570 [26,] -3.660573113 -4.578403023 [27,] -4.075049772 -3.660573113 [28,] -1.157219862 -4.075049772 [29,] 1.959445993 -1.157219862 [30,] -1.861702670 1.959445993 [31,] -2.861702670 -1.861702670 [32,] -2.070636079 -2.861702670 [33,] -3.040554007 -2.070636079 [34,] -1.040554007 -3.040554007 [35,] -6.002137729 -1.040554007 [36,] -7.032219801 -6.002137729 [37,] -4.002137729 -7.032219801 [38,] -3.002137729 -4.002137729 [39,] -4.032219801 -3.002137729 [40,] 8.889241877 -4.032219801 [41,] 7.889241877 8.889241877 [42,] -2.216019781 7.889241877 [43,] 0.337506586 -2.216019781 [44,] -2.216019781 0.337506586 [45,] 1.232244929 -2.216019781 [46,] -1.767755071 1.232244929 [47,] -1.216019781 -1.767755071 [48,] -3.660573113 -1.216019781 [49,] -3.660573113 -3.660573113 [50,] -1.660573113 -3.660573113 [51,] 6.842780138 -1.660573113 [52,] -4.578403023 6.842780138 [53,] -2.660573113 -4.578403023 [54,] 0.421596977 -2.660573113 [55,] 1.517339081 0.421596977 [56,] 4.020692333 1.517339081 [57,] 0.843801376 4.020692333 [58,] -1.157219862 0.843801376 [59,] -2.004800791 -1.157219862 [60,] -3.660573113 -2.004800791 [61,] -2.157219862 -3.660573113 [62,] -5.508154043 -2.157219862 [63,] -3.660573113 -5.508154043 [64,] -4.075049772 -3.660573113 [65,] 3.995199209 -4.075049772 [66,] -0.075049772 3.995199209 [67,] 1.995199209 -0.075049772 [68,] -1.157219862 1.995199209 [69,] -5.660573113 -1.157219862 [70,] -3.156198624 -5.660573113 [71,] 0.842780138 -3.156198624 [72,] -3.075049772 0.842780138 [73,] -5.817377494 -3.075049772 [74,] -4.919238246 -5.817377494 [75,] 2.108215258 -4.919238246 [76,] -4.725593893 2.108215258 [77,] -4.725593893 -4.725593893 [78,] 1.385420174 -4.725593893 [79,] 0.969747688 1.385420174 [80,] 3.997862271 0.969747688 [81,] 24.638678759 3.997862271 [82,] 1.353343695 24.638678759 [83,] -1.753935184 1.353343695 [84,] -8.327961003 -1.753935184 [85,] -4.002137729 -8.327961003 [86,] -3.787295422 -4.002137729 [87,] -1.327961003 -3.787295422 [88,] 0.818349855 -1.327961003 [89,] 2.385420174 0.818349855 [90,] -6.784017256 2.385420174 [91,] -9.665979661 -6.784017256 [92,] 1.564271511 -9.665979661 [93,] -4.665979661 1.564271511 [94,] -0.032219801 -4.665979661 [95,] -4.665979661 -0.032219801 [96,] -2.753935184 -4.665979661 [97,] -7.004759188 -2.753935184 [98,] -4.794741309 -7.004759188 [99,] 2.108215258 -4.794741309 [100,] -3.002137729 2.108215258 [101,] -7.361321241 -3.002137729 [102,] 1.995240812 -7.361321241 [103,] 0.083942930 1.995240812 [104,] -1.435728489 0.083942930 [105,] -6.817377494 -1.435728489 [106,] -2.614579826 -6.817377494 [107,] -6.361321241 -2.614579826 [108,] -1.784017256 -6.361321241 [109,] -4.435728489 -1.784017256 [110,] -0.327961003 -4.435728489 [111,] -3.794741309 -0.327961003 [112,] 0.818349855 -3.794741309 [113,] -0.880821968 0.818349855 [114,] 2.995199209 -0.880821968 [115,] -3.156198624 2.995199209 [116,] -4.004800791 -3.156198624 [117,] 0.391860987 -4.004800791 [118,] 1.391860987 0.391860987 [119,] 0.391860987 1.391860987 [120,] -2.004800791 0.391860987 [121,] -0.786990350 -2.004800791 [122,] -0.608139013 -0.786990350 [123,] 1.391860987 -0.608139013 [124,] -2.075049772 1.391860987 [125,] 0.391860987 -2.075049772 [126,] -1.075049772 0.391860987 [127,] -2.500371527 -1.075049772 [128,] -2.500371527 -2.500371527 [129,] 0.959445993 -2.500371527 [130,] 0.083942930 0.959445993 [131,] -0.916057070 0.083942930 [132,] 2.119178032 -0.916057070 [133,] -8.632619423 2.119178032 [134,] -6.151568073 -8.632619423 [135,] 1.119178032 -6.151568073 [136,] 0.367380577 1.119178032 [137,] -4.665979661 0.367380577 [138,] 1.212704578 -4.665979661 [139,] -3.916057070 1.212704578 [140,] -1.151568073 -3.916057070 [141,] -0.503649694 -1.151568073 [142,] 1.083942930 -0.503649694 [143,] 6.651026306 1.083942930 [144,] -7.508154043 6.651026306 [145,] 3.995199209 -7.508154043 [146,] 4.959445993 3.995199209 [147,] 0.138297330 4.959445993 [148,] -5.632619423 0.138297330 [149,] -0.337517453 -5.632619423 [150,] 0.334020339 -0.337517453 [151,] 1.995199209 0.334020339 [152,] 4.020692333 1.995199209 [153,] 15.299857628 4.020692333 [154,] 6.299857628 15.299857628 [155,] -2.156198624 6.299857628 [156,] 0.970390729 -2.156198624 [157,] 6.970390729 0.970390729 [158,] -0.029609271 6.970390729 [159,] 2.340448124 -0.029609271 [160,] 9.340448124 2.340448124 [161,] -2.508154043 9.340448124 [162,] -0.508154043 -2.508154043 [163,] 0.421596977 -0.508154043 [164,] 3.491845957 0.421596977 [165,] -3.659551876 3.491845957 [166,] -6.659551876 -3.659551876 [167,] -4.578403023 -6.659551876 [168,] 3.421596977 -4.578403023 [169,] 17.491845957 3.421596977 [170,] -6.659551876 17.491845957 [171,] -3.323480570 -6.659551876 [172,] 2.485591590 -3.323480570 [173,] 7.421596977 2.485591590 [174,] 10.421596977 7.421596977 [175,] 5.580777325 10.421596977 [176,] -6.508154043 5.580777325 [177,] -1.578403023 -6.508154043 [178,] -1.659551876 -1.578403023 [179,] 7.340448124 -1.659551876 [180,] 14.340448124 7.340448124 [181,] -2.419222675 14.340448124 [182,] -7.659551876 -2.419222675 [183,] -0.578403023 -7.659551876 [184,] 1.340448124 -0.578403023 [185,] 4.340448124 1.340448124 [186,] 2.491845957 4.340448124 [187,] 1.299857628 2.491845957 [188,] 11.421596977 1.299857628 [189,] -0.419222675 11.421596977 [190,] -3.659551876 -0.419222675 [191,] 15.491845957 -3.659551876 [192,] 4.995199209 15.491845957 [193,] 4.340448124 4.995199209 [194,] 2.421596977 4.340448124 [195,] 2.491845957 2.421596977 [196,] 9.580777325 2.491845957 [197,] -0.578403023 9.580777325 [198,] 3.340448124 -0.578403023 [199,] 2.299857628 3.340448124 [200,] 0.995199209 2.299857628 [201,] -7.659551876 0.995199209 [202,] -2.659551876 -7.659551876 [203,] -0.508154043 -2.659551876 [204,] -2.659551876 -0.508154043 [205,] -2.419222675 -2.659551876 [206,] 11.491845957 -2.419222675 [207,] 4.340448124 11.491845957 [208,] 9.340448124 4.340448124 [209,] -5.659551876 9.340448124 [210,] 6.340448124 -5.659551876 [211,] -1.323480570 6.340448124 [212,] -2.508154043 -1.323480570 [213,] 3.421596977 -2.508154043 [214,] -1.323480570 3.421596977 [215,] 15.340448124 -1.323480570 [216,] -1.508154043 15.340448124 [217,] 5.340448124 -1.508154043 [218,] 7.340448124 5.340448124 [219,] 0.340448124 7.340448124 [220,] -4.514408410 0.340448124 [221,] -3.514408410 -4.514408410 [222,] -5.500371527 -3.514408410 [223,] -5.500371527 -5.500371527 [224,] -2.786990350 -5.500371527 [225,] -5.700142372 -2.786990350 [226,] -1.786990350 -5.700142372 [227,] -0.348973694 -1.786990350 [228,] -5.500371527 -0.348973694 [229,] -3.700142372 -5.500371527 [230,] -2.514408410 -3.700142372 [231,] -1.348973694 -2.514408410 [232,] -4.500371527 -1.348973694 [233,] 4.651026306 -4.500371527 [234,] -4.500371527 4.651026306 [235,] -5.500371527 -4.500371527 [236,] -5.700142372 -5.500371527 [237,] -1.756908278 -5.700142372 [238,] -3.225564767 -1.756908278 [239,] -1.470289455 -3.225564767 [240,] -2.632411342 -1.470289455 [241,] 2.842780138 -2.632411342 [242,] -2.632411342 2.842780138 [243,] -0.534753003 -2.632411342 [244,] -2.225564767 -0.534753003 [245,] -0.534753003 -2.225564767 [246,] -2.500371527 -0.534753003 [247,] 16.215982744 -2.500371527 [248,] 1.215982744 16.215982744 [249,] 10.215982744 1.215982744 [250,] 7.215982744 10.215982744 [251,] 5.215982744 7.215982744 [252,] 1.215982744 5.215982744 [253,] 3.215982744 1.215982744 [254,] 11.215982744 3.215982744 [255,] 13.215982744 11.215982744 [256,] 4.215982744 13.215982744 [257,] 8.215982744 4.215982744 [258,] 25.215982744 8.215982744 [259,] 8.394366816 25.215982744 [260,] 0.394366816 8.394366816 [261,] 1.394366816 0.394366816 [262,] -3.605633184 1.394366816 [263,] 0.421596977 -3.605633184 [264,] -0.470289455 0.421596977 [265,] 1.402823760 -0.470289455 [266,] 3.924950228 1.402823760 [267,] 2.402823760 3.924950228 [268,] -0.659551876 2.402823760 [269,] -5.578403023 -0.659551876 [270,] -7.578403023 -5.578403023 [271,] -3.419222675 -7.578403023 [272,] 5.514397543 -3.419222675 [273,] -4.485602457 5.514397543 [274,] -3.075049772 -4.485602457 [275,] 5.332574780 -3.075049772 [276,] 2.514397543 5.332574780 [277,] 3.873883448 2.514397543 [278,] -0.979307667 3.873883448 [279,] -1.456741180 -0.979307667 [280,] 1.643159191 -1.456741180 [281,] 4.402823760 1.643159191 [282,] -5.508154043 4.402823760 [283,] -3.508154043 -5.508154043 [284,] -7.578403023 -3.508154043 [285,] -4.156198624 -7.578403023 [286,] -6.578403023 -4.156198624 [287,] 1.473009839 -6.578403023 [288,] -2.578403023 1.473009839 [289,] -0.578403023 -2.578403023 [290,] -6.578403023 -0.578403023 [291,] -5.578403023 -6.578403023 [292,] 4.491845957 -5.578403023 [293,] -4.508154043 4.491845957 [294,] -2.667425220 -4.508154043 [295,] 1.332574780 -2.667425220 [296,] -1.667425220 1.332574780 [297,] -0.292517820 -1.667425220 [298,] -2.667425220 -0.292517820 [299,] -4.292517820 -2.667425220 [300,] -1.667425220 -4.292517820 [301,] -0.667425220 -1.667425220 [302,] -2.667425220 -0.667425220 [303,] -0.667425220 -2.667425220 [304,] -2.157219862 -0.667425220 [305,] 1.924950228 -2.157219862 [306,] -0.534753003 1.924950228 [307,] 3.418655439 -0.534753003 [308,] 1.465246997 3.418655439 [309,] -1.157219862 1.465246997 [310,] -4.075049772 -1.157219862 [311,] 3.484570353 -4.075049772 [312,] -1.534753003 3.484570353 [313,] -2.534753003 -1.534753003 [314,] -2.534753003 -2.534753003 [315,] -0.515429647 -2.534753003 [316,] -3.581344561 -0.515429647 [317,] -5.500371527 -3.581344561 [318,] -1.500371527 -5.500371527 [319,] -4.419222675 -1.500371527 [320,] -2.500371527 -4.419222675 [321,] -5.500371527 -2.500371527 [322,] -4.156198624 -5.500371527 [323,] -4.500371527 -4.156198624 [324,] -3.500371527 -4.500371527 [325,] 1.499628473 -3.500371527 [326,] -2.500371527 1.499628473 [327,] -5.500371527 -2.500371527 [328,] -2.075049772 -5.500371527 [329,] -1.157219862 -2.075049772 [330,] -0.157219862 -1.157219862 [331,] 0.580777325 -0.157219862 [332,] -2.482660919 0.580777325 [333,] -0.979307667 -2.482660919 [334,] -3.075049772 -0.979307667 [335,] -1.979307667 -3.075049772 [336,] -5.500371527 -1.979307667 [337,] -2.979307667 -5.500371527 [338,] -2.044315275 -2.979307667 [339,] -5.578403023 -2.044315275 [340,] -6.659551876 -5.578403023 [341,] -1.348973694 -6.659551876 [342,] -1.157219862 -1.348973694 [343,] 1.390839749 -1.157219862 [344,] -2.500371527 1.390839749 [345,] 6.499628473 -2.500371527 [346,] -4.500371527 6.499628473 [347,] 1.889241877 -4.500371527 [348,] -2.080676052 1.889241877 [349,] -5.500371527 -2.080676052 [350,] -4.959360291 -5.500371527 [351,] 4.211988412 -4.959360291 [352,] -0.419222675 4.211988412 [353,] 0.842780138 -0.419222675 [354,] 0.499628473 0.842780138 [355,] -2.157219862 0.499628473 [356,] 0.919323948 -2.157219862 [357,] -5.500371527 0.919323948 [358,] -1.419222675 -5.500371527 [359,] 3.774435233 -1.419222675 [360,] 5.924950228 3.774435233 [361,] 1.924950228 5.924950228 [362,] 3.391860987 1.924950228 [363,] -1.608139013 3.391860987 [364,] -2.605633184 -1.608139013 [365,] 4.394366816 -2.605633184 [366,] -2.608139013 4.394366816 [367,] 0.394366816 -2.608139013 [368,] -1.608139013 0.394366816 [369,] -2.029609271 -1.608139013 [370,] -3.080676052 -2.029609271 [371,] -2.029609271 -3.080676052 [372,] -0.029609271 -2.029609271 [373,] -2.029609271 -0.029609271 [374,] 3.919323948 -2.029609271 [375,] -0.080676052 3.919323948 [376,] 2.367380577 -0.080676052 [377,] 3.517339081 2.367380577 [378,] 4.676519430 3.517339081 [379,] 5.676519430 4.676519430 [380,] -0.323480570 5.676519430 [381,] -0.181650145 -0.323480570 [382,] -0.181650145 -0.181650145 [383,] 1.215982744 -0.181650145 [384,] -4.784017256 1.215982744 [385,] -1.979307667 -4.784017256 [386,] 1.969747688 -1.979307667 [387,] 0.367380577 1.969747688 [388,] 5.676519430 0.367380577 [389,] 3.676519430 5.676519430 [390,] -0.323480570 3.676519430 [391,] 3.020692333 -0.323480570 [392,] 4.676519430 3.020692333 [393,] -2.794741309 4.676519430 [394,] 0.205258691 -2.794741309 [395,] 1.969747688 0.205258691 [396,] 2.020692333 1.969747688 [397,] -3.156198624 2.020692333 [398,] 1.843801376 -3.156198624 [399,] -3.004800791 1.843801376 [400,] -0.156198624 -3.004800791 [401,] -0.156198624 -0.156198624 [402,] -1.323480570 -0.156198624 [403,] -3.348973694 -1.323480570 [404,] -4.348973694 -3.348973694 [405,] -2.323480570 -4.348973694 [406,] -3.482660919 -2.323480570 [407,] -6.482660919 -3.482660919 [408,] 0.517339081 -6.482660919 [409,] -2.605633184 0.517339081 [410,] -4.662493414 -2.605633184 [411,] -3.748574073 -4.662493414 [412,] -1.597176240 -3.748574073 [413,] -3.597176240 -1.597176240 [414,] -4.662493414 -3.597176240 [415,] -4.662493414 -4.662493414 [416,] -5.004800791 -4.662493414 [417,] -5.004800791 -5.004800791 [418,] -5.004800791 -5.004800791 [419,] -3.348973694 -5.004800791 [420,] -4.348973694 -3.348973694 [421,] -4.004800791 -4.348973694 [422,] -6.002137729 -4.004800791 [423,] -6.327961003 -6.002137729 [424,] -4.880821968 -6.327961003 [425,] -2.002137729 -4.880821968 [426,] -7.665979661 -2.002137729 [427,] -4.040554007 -7.665979661 [428,] 8.370530196 -4.040554007 [429,] -0.452582913 8.370530196 [430,] 2.997862271 -0.452582913 [431,] 0.367380577 2.997862271 [432,] -4.933867167 0.367380577 [433,] 2.119178032 -4.933867167 [434,] 3.707482180 2.119178032 [435,] -5.004800791 3.707482180 [436,] -5.044315275 -5.004800791 [437,] 3.274406107 -5.044315275 [438,] 1.392873701 3.274406107 [439,] 2.066132833 1.392873701 [440,] 6.547417087 2.066132833 [441,] 9.547417087 6.547417087 [442,] 5.250404690 9.547417087 [443,] 1.843801376 5.250404690 [444,] 0.020692333 1.843801376 [445,] 0.517339081 0.020692333 [446,] 2.491845957 0.517339081 [447,] 2.969747688 2.491845957 [448,] 8.707482180 2.969747688 [449,] 5.205258691 8.707482180 [450,] -4.933867167 5.205258691 [451,] 5.547417087 -4.933867167 [452,] 7.020692333 5.547417087 [453,] -3.004800791 7.020692333 [454,] -6.607126299 -3.004800791 [455,] 5.083942930 -6.607126299 [456,] 1.676519430 5.083942930 [457,] -3.075049772 1.676519430 [458,] -7.576163549 -3.075049772 [459,] 0.995199209 -7.576163549 [460,] 7.547417087 0.995199209 [461,] 1.392873701 7.547417087 [462,] 3.232027934 1.392873701 [463,] 1.281507999 3.232027934 [464,] 3.020692333 1.281507999 [465,] 7.020692333 3.020692333 [466,] -8.482660919 7.020692333 [467,] 5.707482180 -8.482660919 [468,] 5.274406107 5.707482180 [469,] 5.083942930 5.274406107 [470,] -4.500371527 5.083942930 [471,] -7.382333933 -4.500371527 [472,] 3.651026306 -7.382333933 [473,] 11.250404690 3.651026306 [474,] 0.969747688 11.250404690 [475,] -2.508154043 0.969747688 [476,] 5.083942930 -2.508154043 [477,] 8.392873701 5.083942930 [478,] 2.205258691 8.392873701 [479,] 3.969747688 2.205258691 [480,] 12.547417087 3.969747688 [481,] 7.515673662 12.547417087 [482,] 2.340448124 7.515673662 [483,] 1.617666067 2.340448124 [484,] -0.323480570 1.617666067 [485,] 4.246064816 -0.323480570 [486,] -1.916057070 4.246064816 [487,] -3.030252312 -1.916057070 [488,] 2.617666067 -3.030252312 [489,] 2.997862271 2.617666067 [490,] 0.922324487 2.997862271 [491,] 10.402823760 0.922324487 [492,] 13.491845957 10.402823760 [493,] 9.617666067 13.491845957 [494,] 4.392873701 9.617666067 [495,] 3.020692333 4.392873701 [496,] -4.979307667 3.020692333 [497,] 7.873883448 -4.979307667 [498,] -6.002137729 7.873883448 [499,] -7.665979661 -6.002137729 [500,] -4.030252312 -7.665979661 [501,] 1.969747688 -4.030252312 [502,] 1.969747688 1.969747688 [503,] 3.517339081 1.969747688 [504,] 5.969747688 3.517339081 [505,] 7.547417087 5.969747688 [506,] -0.004800791 7.547417087 [507,] 10.488904419 -0.004800791 [508,] 0.083942930 10.488904419 [509,] 8.119178032 0.083942930 [510,] 6.367380577 8.119178032 [511,] 6.873883448 6.367380577 [512,] -0.608139013 6.873883448 [513,] -1.608139013 -0.608139013 [514,] 2.391860987 -1.608139013 [515,] 2.391860987 2.391860987 [516,] 1.842780138 2.391860987 [517,] 4.842780138 1.842780138 [518,] 2.842780138 4.842780138 [519,] 1.842780138 2.842780138 [520,] -0.608139013 1.842780138 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 2.385420174 1.385420174 2 -0.490082889 2.385420174 3 -3.725593893 -0.490082889 4 -7.665979661 -3.725593893 5 -0.216019781 -7.665979661 6 -2.216019781 -0.216019781 7 -1.330826425 -2.216019781 8 0.669173575 -1.330826425 9 3.669173575 0.669173575 10 -1.330826425 3.669173575 11 0.783980219 -1.330826425 12 -4.979307667 0.783980219 13 -1.157219862 -4.979307667 14 5.211988412 -1.157219862 15 -3.337517453 5.211988412 16 0.924950228 -3.337517453 17 -3.660573113 0.924950228 18 -5.578403023 -3.660573113 19 0.390839749 -5.578403023 20 -1.075049772 0.390839749 21 -6.482660919 -1.075049772 22 -3.337517453 -6.482660919 23 -2.979307667 -3.337517453 24 -3.323480570 -2.979307667 25 -4.578403023 -3.323480570 26 -3.660573113 -4.578403023 27 -4.075049772 -3.660573113 28 -1.157219862 -4.075049772 29 1.959445993 -1.157219862 30 -1.861702670 1.959445993 31 -2.861702670 -1.861702670 32 -2.070636079 -2.861702670 33 -3.040554007 -2.070636079 34 -1.040554007 -3.040554007 35 -6.002137729 -1.040554007 36 -7.032219801 -6.002137729 37 -4.002137729 -7.032219801 38 -3.002137729 -4.002137729 39 -4.032219801 -3.002137729 40 8.889241877 -4.032219801 41 7.889241877 8.889241877 42 -2.216019781 7.889241877 43 0.337506586 -2.216019781 44 -2.216019781 0.337506586 45 1.232244929 -2.216019781 46 -1.767755071 1.232244929 47 -1.216019781 -1.767755071 48 -3.660573113 -1.216019781 49 -3.660573113 -3.660573113 50 -1.660573113 -3.660573113 51 6.842780138 -1.660573113 52 -4.578403023 6.842780138 53 -2.660573113 -4.578403023 54 0.421596977 -2.660573113 55 1.517339081 0.421596977 56 4.020692333 1.517339081 57 0.843801376 4.020692333 58 -1.157219862 0.843801376 59 -2.004800791 -1.157219862 60 -3.660573113 -2.004800791 61 -2.157219862 -3.660573113 62 -5.508154043 -2.157219862 63 -3.660573113 -5.508154043 64 -4.075049772 -3.660573113 65 3.995199209 -4.075049772 66 -0.075049772 3.995199209 67 1.995199209 -0.075049772 68 -1.157219862 1.995199209 69 -5.660573113 -1.157219862 70 -3.156198624 -5.660573113 71 0.842780138 -3.156198624 72 -3.075049772 0.842780138 73 -5.817377494 -3.075049772 74 -4.919238246 -5.817377494 75 2.108215258 -4.919238246 76 -4.725593893 2.108215258 77 -4.725593893 -4.725593893 78 1.385420174 -4.725593893 79 0.969747688 1.385420174 80 3.997862271 0.969747688 81 24.638678759 3.997862271 82 1.353343695 24.638678759 83 -1.753935184 1.353343695 84 -8.327961003 -1.753935184 85 -4.002137729 -8.327961003 86 -3.787295422 -4.002137729 87 -1.327961003 -3.787295422 88 0.818349855 -1.327961003 89 2.385420174 0.818349855 90 -6.784017256 2.385420174 91 -9.665979661 -6.784017256 92 1.564271511 -9.665979661 93 -4.665979661 1.564271511 94 -0.032219801 -4.665979661 95 -4.665979661 -0.032219801 96 -2.753935184 -4.665979661 97 -7.004759188 -2.753935184 98 -4.794741309 -7.004759188 99 2.108215258 -4.794741309 100 -3.002137729 2.108215258 101 -7.361321241 -3.002137729 102 1.995240812 -7.361321241 103 0.083942930 1.995240812 104 -1.435728489 0.083942930 105 -6.817377494 -1.435728489 106 -2.614579826 -6.817377494 107 -6.361321241 -2.614579826 108 -1.784017256 -6.361321241 109 -4.435728489 -1.784017256 110 -0.327961003 -4.435728489 111 -3.794741309 -0.327961003 112 0.818349855 -3.794741309 113 -0.880821968 0.818349855 114 2.995199209 -0.880821968 115 -3.156198624 2.995199209 116 -4.004800791 -3.156198624 117 0.391860987 -4.004800791 118 1.391860987 0.391860987 119 0.391860987 1.391860987 120 -2.004800791 0.391860987 121 -0.786990350 -2.004800791 122 -0.608139013 -0.786990350 123 1.391860987 -0.608139013 124 -2.075049772 1.391860987 125 0.391860987 -2.075049772 126 -1.075049772 0.391860987 127 -2.500371527 -1.075049772 128 -2.500371527 -2.500371527 129 0.959445993 -2.500371527 130 0.083942930 0.959445993 131 -0.916057070 0.083942930 132 2.119178032 -0.916057070 133 -8.632619423 2.119178032 134 -6.151568073 -8.632619423 135 1.119178032 -6.151568073 136 0.367380577 1.119178032 137 -4.665979661 0.367380577 138 1.212704578 -4.665979661 139 -3.916057070 1.212704578 140 -1.151568073 -3.916057070 141 -0.503649694 -1.151568073 142 1.083942930 -0.503649694 143 6.651026306 1.083942930 144 -7.508154043 6.651026306 145 3.995199209 -7.508154043 146 4.959445993 3.995199209 147 0.138297330 4.959445993 148 -5.632619423 0.138297330 149 -0.337517453 -5.632619423 150 0.334020339 -0.337517453 151 1.995199209 0.334020339 152 4.020692333 1.995199209 153 15.299857628 4.020692333 154 6.299857628 15.299857628 155 -2.156198624 6.299857628 156 0.970390729 -2.156198624 157 6.970390729 0.970390729 158 -0.029609271 6.970390729 159 2.340448124 -0.029609271 160 9.340448124 2.340448124 161 -2.508154043 9.340448124 162 -0.508154043 -2.508154043 163 0.421596977 -0.508154043 164 3.491845957 0.421596977 165 -3.659551876 3.491845957 166 -6.659551876 -3.659551876 167 -4.578403023 -6.659551876 168 3.421596977 -4.578403023 169 17.491845957 3.421596977 170 -6.659551876 17.491845957 171 -3.323480570 -6.659551876 172 2.485591590 -3.323480570 173 7.421596977 2.485591590 174 10.421596977 7.421596977 175 5.580777325 10.421596977 176 -6.508154043 5.580777325 177 -1.578403023 -6.508154043 178 -1.659551876 -1.578403023 179 7.340448124 -1.659551876 180 14.340448124 7.340448124 181 -2.419222675 14.340448124 182 -7.659551876 -2.419222675 183 -0.578403023 -7.659551876 184 1.340448124 -0.578403023 185 4.340448124 1.340448124 186 2.491845957 4.340448124 187 1.299857628 2.491845957 188 11.421596977 1.299857628 189 -0.419222675 11.421596977 190 -3.659551876 -0.419222675 191 15.491845957 -3.659551876 192 4.995199209 15.491845957 193 4.340448124 4.995199209 194 2.421596977 4.340448124 195 2.491845957 2.421596977 196 9.580777325 2.491845957 197 -0.578403023 9.580777325 198 3.340448124 -0.578403023 199 2.299857628 3.340448124 200 0.995199209 2.299857628 201 -7.659551876 0.995199209 202 -2.659551876 -7.659551876 203 -0.508154043 -2.659551876 204 -2.659551876 -0.508154043 205 -2.419222675 -2.659551876 206 11.491845957 -2.419222675 207 4.340448124 11.491845957 208 9.340448124 4.340448124 209 -5.659551876 9.340448124 210 6.340448124 -5.659551876 211 -1.323480570 6.340448124 212 -2.508154043 -1.323480570 213 3.421596977 -2.508154043 214 -1.323480570 3.421596977 215 15.340448124 -1.323480570 216 -1.508154043 15.340448124 217 5.340448124 -1.508154043 218 7.340448124 5.340448124 219 0.340448124 7.340448124 220 -4.514408410 0.340448124 221 -3.514408410 -4.514408410 222 -5.500371527 -3.514408410 223 -5.500371527 -5.500371527 224 -2.786990350 -5.500371527 225 -5.700142372 -2.786990350 226 -1.786990350 -5.700142372 227 -0.348973694 -1.786990350 228 -5.500371527 -0.348973694 229 -3.700142372 -5.500371527 230 -2.514408410 -3.700142372 231 -1.348973694 -2.514408410 232 -4.500371527 -1.348973694 233 4.651026306 -4.500371527 234 -4.500371527 4.651026306 235 -5.500371527 -4.500371527 236 -5.700142372 -5.500371527 237 -1.756908278 -5.700142372 238 -3.225564767 -1.756908278 239 -1.470289455 -3.225564767 240 -2.632411342 -1.470289455 241 2.842780138 -2.632411342 242 -2.632411342 2.842780138 243 -0.534753003 -2.632411342 244 -2.225564767 -0.534753003 245 -0.534753003 -2.225564767 246 -2.500371527 -0.534753003 247 16.215982744 -2.500371527 248 1.215982744 16.215982744 249 10.215982744 1.215982744 250 7.215982744 10.215982744 251 5.215982744 7.215982744 252 1.215982744 5.215982744 253 3.215982744 1.215982744 254 11.215982744 3.215982744 255 13.215982744 11.215982744 256 4.215982744 13.215982744 257 8.215982744 4.215982744 258 25.215982744 8.215982744 259 8.394366816 25.215982744 260 0.394366816 8.394366816 261 1.394366816 0.394366816 262 -3.605633184 1.394366816 263 0.421596977 -3.605633184 264 -0.470289455 0.421596977 265 1.402823760 -0.470289455 266 3.924950228 1.402823760 267 2.402823760 3.924950228 268 -0.659551876 2.402823760 269 -5.578403023 -0.659551876 270 -7.578403023 -5.578403023 271 -3.419222675 -7.578403023 272 5.514397543 -3.419222675 273 -4.485602457 5.514397543 274 -3.075049772 -4.485602457 275 5.332574780 -3.075049772 276 2.514397543 5.332574780 277 3.873883448 2.514397543 278 -0.979307667 3.873883448 279 -1.456741180 -0.979307667 280 1.643159191 -1.456741180 281 4.402823760 1.643159191 282 -5.508154043 4.402823760 283 -3.508154043 -5.508154043 284 -7.578403023 -3.508154043 285 -4.156198624 -7.578403023 286 -6.578403023 -4.156198624 287 1.473009839 -6.578403023 288 -2.578403023 1.473009839 289 -0.578403023 -2.578403023 290 -6.578403023 -0.578403023 291 -5.578403023 -6.578403023 292 4.491845957 -5.578403023 293 -4.508154043 4.491845957 294 -2.667425220 -4.508154043 295 1.332574780 -2.667425220 296 -1.667425220 1.332574780 297 -0.292517820 -1.667425220 298 -2.667425220 -0.292517820 299 -4.292517820 -2.667425220 300 -1.667425220 -4.292517820 301 -0.667425220 -1.667425220 302 -2.667425220 -0.667425220 303 -0.667425220 -2.667425220 304 -2.157219862 -0.667425220 305 1.924950228 -2.157219862 306 -0.534753003 1.924950228 307 3.418655439 -0.534753003 308 1.465246997 3.418655439 309 -1.157219862 1.465246997 310 -4.075049772 -1.157219862 311 3.484570353 -4.075049772 312 -1.534753003 3.484570353 313 -2.534753003 -1.534753003 314 -2.534753003 -2.534753003 315 -0.515429647 -2.534753003 316 -3.581344561 -0.515429647 317 -5.500371527 -3.581344561 318 -1.500371527 -5.500371527 319 -4.419222675 -1.500371527 320 -2.500371527 -4.419222675 321 -5.500371527 -2.500371527 322 -4.156198624 -5.500371527 323 -4.500371527 -4.156198624 324 -3.500371527 -4.500371527 325 1.499628473 -3.500371527 326 -2.500371527 1.499628473 327 -5.500371527 -2.500371527 328 -2.075049772 -5.500371527 329 -1.157219862 -2.075049772 330 -0.157219862 -1.157219862 331 0.580777325 -0.157219862 332 -2.482660919 0.580777325 333 -0.979307667 -2.482660919 334 -3.075049772 -0.979307667 335 -1.979307667 -3.075049772 336 -5.500371527 -1.979307667 337 -2.979307667 -5.500371527 338 -2.044315275 -2.979307667 339 -5.578403023 -2.044315275 340 -6.659551876 -5.578403023 341 -1.348973694 -6.659551876 342 -1.157219862 -1.348973694 343 1.390839749 -1.157219862 344 -2.500371527 1.390839749 345 6.499628473 -2.500371527 346 -4.500371527 6.499628473 347 1.889241877 -4.500371527 348 -2.080676052 1.889241877 349 -5.500371527 -2.080676052 350 -4.959360291 -5.500371527 351 4.211988412 -4.959360291 352 -0.419222675 4.211988412 353 0.842780138 -0.419222675 354 0.499628473 0.842780138 355 -2.157219862 0.499628473 356 0.919323948 -2.157219862 357 -5.500371527 0.919323948 358 -1.419222675 -5.500371527 359 3.774435233 -1.419222675 360 5.924950228 3.774435233 361 1.924950228 5.924950228 362 3.391860987 1.924950228 363 -1.608139013 3.391860987 364 -2.605633184 -1.608139013 365 4.394366816 -2.605633184 366 -2.608139013 4.394366816 367 0.394366816 -2.608139013 368 -1.608139013 0.394366816 369 -2.029609271 -1.608139013 370 -3.080676052 -2.029609271 371 -2.029609271 -3.080676052 372 -0.029609271 -2.029609271 373 -2.029609271 -0.029609271 374 3.919323948 -2.029609271 375 -0.080676052 3.919323948 376 2.367380577 -0.080676052 377 3.517339081 2.367380577 378 4.676519430 3.517339081 379 5.676519430 4.676519430 380 -0.323480570 5.676519430 381 -0.181650145 -0.323480570 382 -0.181650145 -0.181650145 383 1.215982744 -0.181650145 384 -4.784017256 1.215982744 385 -1.979307667 -4.784017256 386 1.969747688 -1.979307667 387 0.367380577 1.969747688 388 5.676519430 0.367380577 389 3.676519430 5.676519430 390 -0.323480570 3.676519430 391 3.020692333 -0.323480570 392 4.676519430 3.020692333 393 -2.794741309 4.676519430 394 0.205258691 -2.794741309 395 1.969747688 0.205258691 396 2.020692333 1.969747688 397 -3.156198624 2.020692333 398 1.843801376 -3.156198624 399 -3.004800791 1.843801376 400 -0.156198624 -3.004800791 401 -0.156198624 -0.156198624 402 -1.323480570 -0.156198624 403 -3.348973694 -1.323480570 404 -4.348973694 -3.348973694 405 -2.323480570 -4.348973694 406 -3.482660919 -2.323480570 407 -6.482660919 -3.482660919 408 0.517339081 -6.482660919 409 -2.605633184 0.517339081 410 -4.662493414 -2.605633184 411 -3.748574073 -4.662493414 412 -1.597176240 -3.748574073 413 -3.597176240 -1.597176240 414 -4.662493414 -3.597176240 415 -4.662493414 -4.662493414 416 -5.004800791 -4.662493414 417 -5.004800791 -5.004800791 418 -5.004800791 -5.004800791 419 -3.348973694 -5.004800791 420 -4.348973694 -3.348973694 421 -4.004800791 -4.348973694 422 -6.002137729 -4.004800791 423 -6.327961003 -6.002137729 424 -4.880821968 -6.327961003 425 -2.002137729 -4.880821968 426 -7.665979661 -2.002137729 427 -4.040554007 -7.665979661 428 8.370530196 -4.040554007 429 -0.452582913 8.370530196 430 2.997862271 -0.452582913 431 0.367380577 2.997862271 432 -4.933867167 0.367380577 433 2.119178032 -4.933867167 434 3.707482180 2.119178032 435 -5.004800791 3.707482180 436 -5.044315275 -5.004800791 437 3.274406107 -5.044315275 438 1.392873701 3.274406107 439 2.066132833 1.392873701 440 6.547417087 2.066132833 441 9.547417087 6.547417087 442 5.250404690 9.547417087 443 1.843801376 5.250404690 444 0.020692333 1.843801376 445 0.517339081 0.020692333 446 2.491845957 0.517339081 447 2.969747688 2.491845957 448 8.707482180 2.969747688 449 5.205258691 8.707482180 450 -4.933867167 5.205258691 451 5.547417087 -4.933867167 452 7.020692333 5.547417087 453 -3.004800791 7.020692333 454 -6.607126299 -3.004800791 455 5.083942930 -6.607126299 456 1.676519430 5.083942930 457 -3.075049772 1.676519430 458 -7.576163549 -3.075049772 459 0.995199209 -7.576163549 460 7.547417087 0.995199209 461 1.392873701 7.547417087 462 3.232027934 1.392873701 463 1.281507999 3.232027934 464 3.020692333 1.281507999 465 7.020692333 3.020692333 466 -8.482660919 7.020692333 467 5.707482180 -8.482660919 468 5.274406107 5.707482180 469 5.083942930 5.274406107 470 -4.500371527 5.083942930 471 -7.382333933 -4.500371527 472 3.651026306 -7.382333933 473 11.250404690 3.651026306 474 0.969747688 11.250404690 475 -2.508154043 0.969747688 476 5.083942930 -2.508154043 477 8.392873701 5.083942930 478 2.205258691 8.392873701 479 3.969747688 2.205258691 480 12.547417087 3.969747688 481 7.515673662 12.547417087 482 2.340448124 7.515673662 483 1.617666067 2.340448124 484 -0.323480570 1.617666067 485 4.246064816 -0.323480570 486 -1.916057070 4.246064816 487 -3.030252312 -1.916057070 488 2.617666067 -3.030252312 489 2.997862271 2.617666067 490 0.922324487 2.997862271 491 10.402823760 0.922324487 492 13.491845957 10.402823760 493 9.617666067 13.491845957 494 4.392873701 9.617666067 495 3.020692333 4.392873701 496 -4.979307667 3.020692333 497 7.873883448 -4.979307667 498 -6.002137729 7.873883448 499 -7.665979661 -6.002137729 500 -4.030252312 -7.665979661 501 1.969747688 -4.030252312 502 1.969747688 1.969747688 503 3.517339081 1.969747688 504 5.969747688 3.517339081 505 7.547417087 5.969747688 506 -0.004800791 7.547417087 507 10.488904419 -0.004800791 508 0.083942930 10.488904419 509 8.119178032 0.083942930 510 6.367380577 8.119178032 511 6.873883448 6.367380577 512 -0.608139013 6.873883448 513 -1.608139013 -0.608139013 514 2.391860987 -1.608139013 515 2.391860987 2.391860987 516 1.842780138 2.391860987 517 4.842780138 1.842780138 518 2.842780138 4.842780138 519 1.842780138 2.842780138 520 -0.608139013 1.842780138 > plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals') > lines(lowess(z)) > abline(lm(z)) > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/7zk6g1356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/8o9k01356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/9929h1356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0)) > plot(mylm, las = 1, sub='Residual Diagnostics') > par(opar) > dev.off() null device 1 > if (n > n25) { + postscript(file="/var/wessaorg/rcomp/tmp/10w9bo1356108869.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint') + grid() + dev.off() + } null device 1 > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE) > a<-table.row.end(a) > myeq <- colnames(x)[1] > myeq <- paste(myeq, '[t] = ', sep='') > for (i in 1:k){ + if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '') + myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ') + if (rownames(mysum$coefficients)[i] != '(Intercept)') { + myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='') + if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='') + } + } > myeq <- paste(myeq, ' + e[t]') > a<-table.row.start(a) > a<-table.element(a, myeq) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/111bdg1356108869.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',header=TRUE) > a<-table.element(a,'Parameter',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE) > a<-table.element(a,'2-tail p-value',header=TRUE) > a<-table.element(a,'1-tail p-value',header=TRUE) > a<-table.row.end(a) > for (i in 1:k){ + a<-table.row.start(a) + a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE) + a<-table.element(a,mysum$coefficients[i,1]) + a<-table.element(a, round(mysum$coefficients[i,2],6)) + a<-table.element(a, round(mysum$coefficients[i,3],4)) + a<-table.element(a, round(mysum$coefficients[i,4],6)) + a<-table.element(a, round(mysum$coefficients[i,4]/2,6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/12tldc1356108869.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple R',1,TRUE) > a<-table.element(a, sqrt(mysum$r.squared)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'R-squared',1,TRUE) > a<-table.element(a, mysum$r.squared) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Adjusted R-squared',1,TRUE) > a<-table.element(a, mysum$adj.r.squared) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (value)',1,TRUE) > a<-table.element(a, mysum$fstatistic[1]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE) > a<-table.element(a, mysum$fstatistic[2]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE) > a<-table.element(a, mysum$fstatistic[3]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'p-value',1,TRUE) > a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3])) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Residual Standard Deviation',1,TRUE) > a<-table.element(a, mysum$sigma) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Sum Squared Residuals',1,TRUE) > a<-table.element(a, sum(myerror*myerror)) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/131i5p1356108869.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Time or Index', 1, TRUE) > a<-table.element(a, 'Actuals', 1, TRUE) > a<-table.element(a, 'Interpolation
Forecast', 1, TRUE) > a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE) > a<-table.row.end(a) > for (i in 1:n) { + a<-table.row.start(a) + a<-table.element(a,i, 1, TRUE) + a<-table.element(a,x[i]) + a<-table.element(a,x[i]-mysum$resid[i]) + a<-table.element(a,mysum$resid[i]) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/14tmfz1356108869.tab") > if (n > n25) { + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'p-values',header=TRUE) + a<-table.element(a,'Alternative Hypothesis',3,header=TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'breakpoint index',header=TRUE) + a<-table.element(a,'greater',header=TRUE) + a<-table.element(a,'2-sided',header=TRUE) + a<-table.element(a,'less',header=TRUE) + a<-table.row.end(a) + for (mypoint in kp3:nmkm3) { + a<-table.row.start(a) + a<-table.element(a,mypoint,header=TRUE) + a<-table.element(a,gqarr[mypoint-kp3+1,1]) + a<-table.element(a,gqarr[mypoint-kp3+1,2]) + a<-table.element(a,gqarr[mypoint-kp3+1,3]) + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/15sg111356108869.tab") + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'Description',header=TRUE) + a<-table.element(a,'# significant tests',header=TRUE) + a<-table.element(a,'% significant tests',header=TRUE) + a<-table.element(a,'OK/NOK',header=TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'1% type I error level',header=TRUE) + a<-table.element(a,numsignificant1) + a<-table.element(a,numsignificant1/numgqtests) + if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'5% type I error level',header=TRUE) + a<-table.element(a,numsignificant5) + a<-table.element(a,numsignificant5/numgqtests) + if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'10% type I error level',header=TRUE) + a<-table.element(a,numsignificant10) + a<-table.element(a,numsignificant10/numgqtests) + if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/162bb51356108869.tab") + } > > try(system("convert tmp/1xyj61356108869.ps tmp/1xyj61356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/2g5m51356108869.ps tmp/2g5m51356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/3czcw1356108869.ps tmp/3czcw1356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/42txu1356108869.ps tmp/42txu1356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/5k4h31356108869.ps tmp/5k4h31356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/6yysw1356108869.ps tmp/6yysw1356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/7zk6g1356108869.ps tmp/7zk6g1356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/8o9k01356108869.ps tmp/8o9k01356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/9929h1356108869.ps tmp/9929h1356108869.png",intern=TRUE)) character(0) > try(system("convert tmp/10w9bo1356108869.ps tmp/10w9bo1356108869.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 50.360 2.208 52.899