R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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.

> y <- c(255
+ ,280.2
+ ,299.9
+ ,339.2
+ ,374.2
+ ,393.5
+ ,389.2
+ ,381.7
+ ,375.2
+ ,369
+ ,357.4
+ ,352.1
+ ,346.5
+ ,342.9
+ ,340.3
+ ,328.3
+ ,322.9
+ ,314.3
+ ,308.9
+ ,294
+ ,285.6
+ ,281.2
+ ,280.3
+ ,278.8
+ ,274.5
+ ,270.4
+ ,263.4
+ ,259.9
+ ,258
+ ,262.7
+ ,284.7
+ ,311.3
+ ,322.1
+ ,327
+ ,331.3
+ ,333.3
+ ,321.4
+ ,327
+ ,320
+ ,314.7
+ ,316.7
+ ,314.4
+ ,321.3
+ ,318.2
+ ,307.2
+ ,301.3
+ ,287.5
+ ,277.7
+ ,274.4
+ ,258.8
+ ,253.3
+ ,251
+ ,248.4
+ ,249.5
+ ,246.1
+ ,244.5
+ ,243.6
+ ,244
+ ,240.8
+ ,249.8
+ ,248
+ ,259.4
+ ,260.5
+ ,260.8
+ ,261.3
+ ,259.5
+ ,256.6
+ ,257.9
+ ,256.5
+ ,254.2
+ ,253.3
+ ,253.8
+ ,255.5
+ ,257.1
+ ,257.3
+ ,253.2
+ ,252.8
+ ,252
+ ,250.7
+ ,252.2
+ ,250
+ ,251
+ ,253.4
+ ,251.2
+ ,255.6
+ ,261.1
+ ,258.9
+ ,259.9
+ ,261.2
+ ,264.7
+ ,267.1
+ ,266.4
+ ,267.7
+ ,268.6
+ ,267.5
+ ,268.5
+ ,268.5
+ ,270.5
+ ,270.9
+ ,270.1
+ ,269.3
+ ,269.8
+ ,270.1
+ ,264.9
+ ,263.7
+ ,264.8
+ ,263.7
+ ,255.9
+ ,276.2
+ ,360.1
+ ,380.5
+ ,373.7
+ ,369.8
+ ,366.6
+ ,359.3
+ ,345.8
+ ,326.2
+ ,324.5
+ ,328.1
+ ,327.5
+ ,324.4
+ ,316.5
+ ,310.9
+ ,301.5
+ ,291.7
+ ,290.4
+ ,287.4
+ ,277.7
+ ,281.6
+ ,288
+ ,276
+ ,272.9
+ ,283
+ ,283.3
+ ,276.8
+ ,284.5
+ ,282.7
+ ,281.2
+ ,287.4
+ ,283.1
+ ,284
+ ,285.5
+ ,289.2
+ ,292.5
+ ,296.4
+ ,305.2
+ ,303.9
+ ,311.5
+ ,316.3
+ ,316.7
+ ,322.5
+ ,317.1
+ ,309.8
+ ,303.8
+ ,290.3
+ ,293.7
+ ,291.7
+ ,296.5
+ ,289.1
+ ,288.5
+ ,293.8
+ ,297.7
+ ,305.4
+ ,302.7
+ ,302.5
+ ,303
+ ,294.5
+ ,294.1
+ ,294.5
+ ,297.1
+ ,289.4
+ ,292.4
+ ,287.9
+ ,286.6
+ ,280.5
+ ,272.4
+ ,269.2
+ ,270.6
+ ,267.3
+ ,262.5
+ ,266.8
+ ,268.8
+ ,263.1
+ ,261.2
+ ,266
+ ,262.5
+ ,265.2
+ ,261.3
+ ,253.7
+ ,249.2
+ ,239.1
+ ,236.4
+ ,235.2
+ ,245.2
+ ,246.2
+ ,247.7
+ ,251.4
+ ,253.3
+ ,254.8
+ ,250
+ ,249.3
+ ,241.5
+ ,243.3
+ ,248
+ ,253
+ ,252.9
+ ,251.5
+ ,251.6
+ ,253.5
+ ,259.8
+ ,334.1
+ ,448
+ ,445.8
+ ,445
+ ,448.2
+ ,438.2
+ ,439.8
+ ,423.4
+ ,410.8
+ ,408.4
+ ,406.7
+ ,405.9
+ ,402.7
+ ,405.1
+ ,399.6
+ ,386.5
+ ,381.4
+ ,375.2
+ ,357.7
+ ,359
+ ,355
+ ,352.7
+ ,344.4
+ ,343.8
+ ,338
+ ,339
+ ,333.3
+ ,334.4
+ ,328.3
+ ,330.7
+ ,330
+ ,331.6
+ ,351.2
+ ,389.4
+ ,410.9
+ ,442.8
+ ,462.8
+ ,466.9
+ ,461.7
+ ,439.2
+ ,430.3
+ ,416.1
+ ,402.5
+ ,397.3
+ ,403.3
+ ,395.9
+ ,387.8
+ ,378.6
+ ,377.1
+ ,370.4
+ ,362
+ ,350.3
+ ,348.2
+ ,344.6
+ ,343.5
+ ,342.8
+ ,347.6
+ ,346.6
+ ,349.5
+ ,342.1
+ ,342
+ ,342.8
+ ,339.3
+ ,348.2
+ ,333.7
+ ,334.7
+ ,354
+ ,367.7
+ ,363.3
+ ,358.4
+ ,353.1
+ ,343.1
+ ,344.6
+ ,344.4
+ ,333.9
+ ,331.7
+ ,324.3
+ ,321.2
+ ,322.4
+ ,321.7
+ ,320.5
+ ,312.8
+ ,309.7
+ ,315.6
+ ,309.7
+ ,304.6
+ ,302.5
+ ,301.5
+ ,298.8
+ ,291.3
+ ,293.6
+ ,294.6
+ ,285.9
+ ,297.6
+ ,301.1
+ ,293.8
+ ,297.7
+ ,292.9
+ ,292.1
+ ,287.2
+ ,288.2
+ ,283.8
+ ,299.9
+ ,292.4
+ ,293.3
+ ,300.8
+ ,293.7
+ ,293.1
+ ,294.4
+ ,292.1
+ ,291.9
+ ,282.5
+ ,277.9
+ ,287.5
+ ,289.2
+ ,285.6
+ ,293.2
+ ,290.8
+ ,283.1
+ ,275
+ ,287.8
+ ,287.8
+ ,287.4
+ ,284
+ ,277.8
+ ,277.6
+ ,304.9
+ ,294
+ ,300.9
+ ,324
+ ,332.9
+ ,341.6
+ ,333.4
+ ,348.2
+ ,344.7
+ ,344.7
+ ,329.3
+ ,323.5
+ ,323.2
+ ,317.4
+ ,330.1
+ ,329.2
+ ,334.9
+ ,315.8
+ ,315.4
+ ,319.6
+ ,317.3
+ ,313.8
+ ,315.8
+ ,311.3)
> x <- c(87.28
+ ,87.28
+ ,87.09
+ ,86.92
+ ,87.59
+ ,90.72
+ ,90.69
+ ,90.3
+ ,89.55
+ ,88.94
+ ,88.41
+ ,87.82
+ ,87.07
+ ,86.82
+ ,86.4
+ ,86.02
+ ,85.66
+ ,85.32
+ ,85
+ ,84.67
+ ,83.94
+ ,82.83
+ ,81.95
+ ,81.19
+ ,80.48
+ ,78.86
+ ,69.47
+ ,68.77
+ ,70.06
+ ,73.95
+ ,75.8
+ ,77.79
+ ,81.57
+ ,83.07
+ ,84.34
+ ,85.1
+ ,85.25
+ ,84.26
+ ,83.63
+ ,86.44
+ ,85.3
+ ,84.1
+ ,83.36
+ ,82.48
+ ,81.58
+ ,80.47
+ ,79.34
+ ,82.13
+ ,81.69
+ ,80.7
+ ,79.88
+ ,79.16
+ ,78.38
+ ,77.42
+ ,76.47
+ ,75.46
+ ,74.48
+ ,78.27
+ ,80.7
+ ,79.91
+ ,78.75
+ ,77.78
+ ,81.14
+ ,81.08
+ ,80.03
+ ,78.91
+ ,78.01
+ ,76.9
+ ,75.97
+ ,81.93
+ ,80.27
+ ,78.67
+ ,77.42
+ ,76.16
+ ,74.7
+ ,76.39
+ ,76.04
+ ,74.65
+ ,73.29
+ ,71.79
+ ,74.39
+ ,74.91
+ ,74.54
+ ,73.08
+ ,72.75
+ ,71.32
+ ,70.38
+ ,70.35
+ ,70.01
+ ,69.36
+ ,67.77
+ ,69.26
+ ,69.8
+ ,68.38
+ ,67.62
+ ,68.39
+ ,66.95
+ ,65.21
+ ,66.64
+ ,63.45
+ ,60.66
+ ,62.34
+ ,60.32
+ ,58.64
+ ,60.46
+ ,58.59
+ ,61.87
+ ,61.85
+ ,67.44
+ ,77.06
+ ,91.74
+ ,93.15
+ ,94.15
+ ,93.11
+ ,91.51
+ ,89.96
+ ,88.16
+ ,86.98
+ ,88.03
+ ,86.24
+ ,84.65
+ ,83.23
+ ,81.7
+ ,80.25
+ ,78.8
+ ,77.51
+ ,76.2
+ ,75.04
+ ,74
+ ,75.49
+ ,77.14
+ ,76.15
+ ,76.27
+ ,78.19
+ ,76.49
+ ,77.31
+ ,76.65
+ ,74.99
+ ,73.51
+ ,72.07
+ ,70.59
+ ,71.96
+ ,76.29
+ ,74.86
+ ,74.93
+ ,71.9
+ ,71.01
+ ,77.47
+ ,75.78
+ ,76.6
+ ,76.07
+ ,74.57
+ ,73.02
+ ,72.65
+ ,73.16
+ ,71.53
+ ,69.78
+ ,67.98
+ ,69.96
+ ,72.16
+ ,70.47
+ ,68.86
+ ,67.37
+ ,65.87
+ ,72.16
+ ,71.34
+ ,69.93
+ ,68.44
+ ,67.16
+ ,66.01
+ ,67.25
+ ,70.91
+ ,69.75
+ ,68.59
+ ,67.48
+ ,66.31
+ ,64.81
+ ,66.58
+ ,65.97
+ ,64.7
+ ,64.7
+ ,60.94
+ ,59.08
+ ,58.42
+ ,57.77
+ ,57.11
+ ,53.31
+ ,49.96
+ ,49.4
+ ,48.84
+ ,48.3
+ ,47.74
+ ,47.24
+ ,46.76
+ ,46.29
+ ,48.9
+ ,49.23
+ ,48.53
+ ,48.03
+ ,54.34
+ ,53.79
+ ,53.24
+ ,52.96
+ ,52.17
+ ,51.7
+ ,58.55
+ ,78.2
+ ,77.03
+ ,76.19
+ ,77.15
+ ,75.87
+ ,95.47
+ ,109.67
+ ,112.28
+ ,112.01
+ ,107.93
+ ,105.96
+ ,105.06
+ ,102.98
+ ,102.2
+ ,105.23
+ ,101.85
+ ,99.89
+ ,96.23
+ ,94.76
+ ,91.51
+ ,91.63
+ ,91.54
+ ,85.23
+ ,87.83
+ ,87.38
+ ,84.44
+ ,85.19
+ ,84.03
+ ,86.73
+ ,102.52
+ ,104.45
+ ,106.98
+ ,107.02
+ ,99.26
+ ,94.45
+ ,113.44
+ ,157.33
+ ,147.38
+ ,171.89
+ ,171.95
+ ,132.71
+ ,126.02
+ ,121.18
+ ,115.45
+ ,110.48
+ ,117.85
+ ,117.63
+ ,124.65
+ ,109.59
+ ,111.27
+ ,99.78
+ ,98.21
+ ,99.2
+ ,97.97
+ ,89.55
+ ,87.91
+ ,93.34
+ ,94.42
+ ,93.2
+ ,90.29
+ ,91.46
+ ,89.98
+ ,88.35
+ ,88.41
+ ,82.44
+ ,79.89
+ ,75.69
+ ,75.66
+ ,84.5
+ ,96.73
+ ,87.48
+ ,82.39
+ ,83.48
+ ,79.31
+ ,78.16
+ ,72.77
+ ,72.45
+ ,68.46
+ ,67.62
+ ,68.76
+ ,70.07
+ ,68.55
+ ,65.3
+ ,58.96
+ ,59.17
+ ,62.37
+ ,66.28
+ ,55.62
+ ,55.23
+ ,55.85
+ ,56.75
+ ,50.89
+ ,53.88
+ ,52.95
+ ,55.08
+ ,53.61
+ ,58.78
+ ,61.85
+ ,55.91
+ ,53.32
+ ,46.41
+ ,44.57
+ ,50
+ ,50
+ ,53.36
+ ,46.23
+ ,50.45
+ ,49.07
+ ,45.85
+ ,48.45
+ ,49.96
+ ,46.53
+ ,50.51
+ ,47.58
+ ,48.05
+ ,46.84
+ ,47.67
+ ,49.16
+ ,55.54
+ ,55.82
+ ,58.22
+ ,56.19
+ ,57.77
+ ,63.19
+ ,54.76
+ ,55.74
+ ,62.54
+ ,61.39
+ ,69.6
+ ,79.23
+ ,80
+ ,93.68
+ ,107.63
+ ,100.18
+ ,97.3
+ ,90.45
+ ,80.64
+ ,80.58
+ ,75.82
+ ,85.59
+ ,89.35
+ ,89.42
+ ,104.73
+ ,95.32
+ ,89.27
+ ,90.44
+ ,86.97
+ ,79.98
+ ,81.22
+ ,87.35
+ ,83.64
+ ,82.22
+ ,94.4
+ ,102.18)
> par2 = '36'
> par1 = '0'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> x <- as.ts(x)
> y <- as.ts(y)
> mylm <- lm(y~x)
> cbind(mylm$resid)
             [,1]
1   -7.129220e+01
2   -4.609220e+01
3   -2.604228e+01
4    1.357080e+01
5    4.733687e+01
6    6.087241e+01
7    5.662766e+01
8    4.984591e+01
9    4.472718e+01
10   3.965060e+01
11   2.902669e+01
12   2.481329e+01
13   2.059455e+01
14   1.745497e+01
15   1.562848e+01
16   4.328317e+00
17  -4.086770e-01
18  -8.382505e+00
19  -1.319317e+01
20  -2.748541e+01
21  -3.454098e+01
22  -3.689671e+01
23  -3.617603e+01
24  -3.627635e+01
25  -3.926876e+01
26  -4.038523e+01
27  -3.009183e+01
28  -3.230265e+01
29  -3.657842e+01
30  -3.904257e+01
31  -2.044968e+01
32   2.485369e+00
33   6.323807e+00
34   8.461282e+00
35   1.042234e+01
36   1.102267e+01
37  -1.153587e+00
38   6.269679e+00
39   4.299398e-01
40  -1.004519e+01
41  -5.945671e+00
42  -6.035651e+00
43   2.227194e+00
44   7.478754e-01
45  -8.594610e+00
46  -1.245034e+01
47  -2.416924e+01
48  -3.910754e+01
49  -4.159719e+01
50  -5.537393e+01
51  -5.936375e+01
52  -6.033774e+01
53  -6.150122e+01
54  -5.863321e+01
55  -6.028361e+01
56  -6.002351e+01
57  -5.911866e+01
58  -6.569864e+01
59  -7.337393e+01
60  -6.291900e+01
61  -6.258265e+01
62  -4.939621e+01
63  -5.448427e+01
64  -5.407377e+01
65  -5.164000e+01
66  -5.137732e+01
67  -5.261980e+01
68  -4.927553e+01
69  -4.896277e+01
70  -6.223920e+01
71  -6.008200e+01
72  -5.663531e+01
73  -5.263321e+01
74  -4.871269e+01
75  -4.582383e+01
76  -5.303627e+01
77  -5.279169e+01
78  -5.103175e+01
79  -4.982706e+01
80  -4.556453e+01
81  -5.255291e+01
82  -5.251058e+01
83  -4.942916e+01
84  -4.894030e+01
85  -4.393255e+01
86  -3.579894e+01
87  -3.626776e+01
88  -3.521251e+01
89  -3.328634e+01
90  -2.858924e+01
91  -2.326097e+01
92  -2.670507e+01
93  -2.639958e+01
94  -2.288439e+01
95  -2.258471e+01
96  -2.300281e+01
97  -2.035079e+01
98  -1.514626e+01
99  -1.737986e+01
100 -1.230489e+01
101 -7.966598e+00
102 -1.056063e+01
103 -6.540426e+00
104 -8.646398e+00
105 -1.319826e+01
106 -8.654314e+00
107 -1.579503e+01
108 -2.355820e+01
109 -1.355321e+01
110  5.262980e+01
111  4.599389e+01
112  3.659712e+01
113  3.085543e+01
114  2.957078e+01
115  2.521748e+01
116  1.457209e+01
117 -1.712885e+00
118 -1.239699e+00
119  4.265339e-01
120  3.123147e+00
121  2.951423e+00
122 -2.333387e+00
123 -5.115612e+00
124 -1.184517e+01
125 -1.897473e+01
126 -1.789896e+01
127 -1.848635e+01
128 -2.605000e+01
129 -2.023465e+01
130 -1.657876e+01
131 -3.161754e+01
132 -3.289427e+01
133 -2.301527e+01
134 -2.625130e+01
135 -2.962044e+01
136 -2.343062e+01
137 -2.401511e+01
138 -2.245792e+01
139 -1.353223e+01
140 -1.518020e+01
141 -1.155451e+01
142 -1.257762e+01
143 -1.685211e+01
144 -1.091850e+01
145 -7.147417e+00
146  7.232883e+00
147  7.571981e+00
148  3.274708e+00
149  1.118715e+01
150  1.007697e+01
151  1.685306e+01
152  1.421559e+01
153  9.770198e+00
154  4.451621e+00
155 -9.987638e+00
156 -3.585694e+00
157 -2.362748e+00
158  5.752281e+00
159 -5.294251e+00
160 -9.945954e+00
161 -1.533510e+00
162  5.331600e+00
163  1.577571e+01
164  1.583823e+01
165  4.054046e+00
166  6.064226e+00
167  1.609991e-01
168  2.505107e+00
169  5.262461e+00
170  9.980397e+00
171 -3.290047e-03
172 -3.743850e+00
173 -6.107498e+00
174 -5.271145e+00
175 -9.326877e+00
176 -1.527211e+01
177 -1.570958e+01
178 -1.756936e+01
179 -1.974594e+01
180 -2.220700e+01
181 -1.790700e+01
182 -8.982269e+00
183 -1.125674e+01
184 -1.194123e+01
185 -5.944134e+00
186 -8.228623e+00
187  1.469773e+00
188  3.739412e+00
189 -2.829246e+00
190 -6.297903e+00
191 -1.540339e+01
192 -1.707205e+01
193 -1.735121e+01
194 -6.467202e+00
195 -4.601611e+00
196 -7.908404e+00
197 -4.816160e+00
198 -1.626981e+00
199  7.938603e-01
200 -1.562716e+01
201 -1.531423e+01
202 -2.210131e+01
203 -1.978564e+01
204 -1.363071e+01
205 -7.765117e+00
206 -2.048065e+01
207 -5.806972e+01
208 -5.581495e+01
209 -5.236794e+01
210 -4.783595e+01
211  2.882140e+01
212  1.066244e+02
213  7.827251e+01
214  7.266572e+01
215  7.636297e+01
216  7.387704e+01
217  7.910515e+01
218  6.436267e+01
219  5.559337e+01
220  5.462988e+01
221  4.734958e+01
222  5.277447e+01
223  5.318417e+01
224  6.232473e+01
225  5.953201e+01
226  5.241748e+01
227  4.709647e+01
228  4.106223e+01
229  3.518325e+01
230  3.169487e+01
231  2.852363e+01
232  3.163818e+01
233  2.195691e+01
234  2.349327e+01
235  1.272072e+01
236 -1.535946e+01
237 -2.461390e+01
238 -2.817336e+01
239 -3.434703e+01
240 -1.765557e+01
241 -9.497072e+00
242 -4.287064e+01
243 -1.041021e+02
244 -4.757736e+01
245 -7.121702e+01
246 -3.942752e+01
247  5.284013e+01
248  6.926099e+01
249  7.297474e+01
250  6.102758e+01
251  6.128075e+01
252  3.350754e+01
253  2.031271e+01
254  2.184097e+00
255  3.591985e+01
256  2.542582e+01
257  3.848676e+01
258  3.217820e+01
259  2.885493e+01
260  2.442020e+01
261  3.152718e+01
262  2.284754e+01
263  1.074720e+01
264  5.158179e+00
265  6.305032e+00
266  1.096433e+01
267  1.360956e+01
268  1.533525e+01
269  2.123720e+01
270  1.372669e+01
271  2.462154e+01
272  3.011783e+01
273  3.435290e+01
274  4.330815e+01
275  1.252768e+01
276 -8.996110e+00
277  2.733946e+01
278  5.041363e+01
279  4.400619e+01
280  4.678601e+01
281  4.360395e+01
282  4.353062e+01
283  4.561996e+01
284  5.276827e+01
285  4.381529e+01
286  3.951577e+01
287  2.970316e+01
288  2.940252e+01
289  3.658799e+01
290  4.756426e+01
291  4.597751e+01
292  3.238412e+01
293  2.208314e+01
294  4.761549e+01
295  4.243374e+01
296  3.619190e+01
297  3.243438e+01
298  4.222665e+01
299  3.402001e+01
300  2.823278e+01
301  2.660999e+01
302  3.031727e+01
303  1.209577e+01
304  1.814180e+01
305  3.258140e+01
306  3.005136e+01
307  4.667739e+01
308  4.526608e+01
309  3.446574e+01
310  2.956574e+01
311  2.437769e+01
312  3.310889e+01
313  4.143699e+01
314  3.647851e+01
315  4.330873e+01
316  4.602035e+01
317  3.613941e+01
318  4.185639e+01
319  3.582649e+01
320  3.892262e+01
321  3.785703e+01
322  3.068546e+01
323  2.455687e+01
324  3.141276e+01
325  2.136282e+01
326  1.724715e+01
327  2.042711e+01
328  2.176573e+01
329  1.115587e+01
330 -6.926056e+00
331  2.139933e+01
332  1.959448e+01
333  6.671038e+00
334  5.388973e+00
335 -1.593125e+01
336 -3.386665e+01
337 -7.984750e+00
338 -4.407898e+01
339 -6.287046e+01
340 -2.604992e+01
341 -1.184587e+01
342  9.469661e+00
343  1.933657e+01
344  3.424707e+01
345  3.951349e+01
346  2.152024e+01
347 -8.044879e-01
348 -6.733406e+00
349 -3.522957e+01
350 -2.369934e+01
351  1.428468e-01
352 -2.911923e+00
353  9.178718e+00
354  2.952083e+00
355  2.683962e-01
356 -6.821122e+00
357 -2.288477e+00
358 -3.173287e+00
359 -2.360499e+01
360 -4.243328e+01
> library(lattice)
> postscript(file="/var/www/rcomp/tmp/1bvm11257515031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2st1r1257515031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/3alzd1257515031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4huk01257515031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/5q1601257515031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(mylm$resid,main='Histogram of e[t]')
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/6n39l1257515031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/7ljvz1257515031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(mylm$resid,main='QQ plot of e[t]')
> qqline(mylm$resid)
> grid()
> dev.off()
null device 
          1 
> if (par2 > 0)
+ {
+ postscript(file="/var/www/rcomp/tmp/85oj11257515031.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
+ grid()
+ dev.off()
+ }
null device 
          1 
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  44.57   66.87   76.78   77.54   87.00  172.00 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'c',1,TRUE)
> a<-table.element(a,mylm$coeff[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'b',1,TRUE)
> a<-table.element(a,mylm$coeff[[2]])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/9va291257515032.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'# observations',header=TRUE)
> a<-table.element(a,length(mylm$resid))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'minimum',header=TRUE)
> a<-table.element(a,min(mylm$resid))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,quantile(mylm$resid,0.25))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> a<-table.element(a,median(mylm$resid))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,mean(mylm$resid))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,quantile(mylm$resid,0.75))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'maximum',header=TRUE)
> a<-table.element(a,max(mylm$resid))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/108rjk1257515032.tab") 
> 
> system("convert tmp/1bvm11257515031.ps tmp/1bvm11257515031.png")
> system("convert tmp/2st1r1257515031.ps tmp/2st1r1257515031.png")
> system("convert tmp/3alzd1257515031.ps tmp/3alzd1257515031.png")
> system("convert tmp/4huk01257515031.ps tmp/4huk01257515031.png")
> system("convert tmp/5q1601257515031.ps tmp/5q1601257515031.png")
> system("convert tmp/6n39l1257515031.ps tmp/6n39l1257515031.png")
> system("convert tmp/7ljvz1257515031.ps tmp/7ljvz1257515031.png")
> system("convert tmp/85oj11257515031.ps tmp/85oj11257515031.png")
> 
> 
> proc.time()
   user  system elapsed 
   2.27    1.85    3.11