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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_cross.wasp
Title produced by softwareCross Correlation Function
Date of computationTue, 15 Dec 2009 07:52:44 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/15/t1260888818qxdbjpw332961pe.htm/, Retrieved Wed, 08 May 2024 22:22:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=67950, Retrieved Wed, 08 May 2024 22:22:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Cross Correlation Function] [CC2] [2008-12-16 18:26:38] [c4e82a203a5642d47e013a6c97b9cd86]
-  M      [Cross Correlation Function] [] [2009-12-15 14:52:44] [efd540d63f04881f500eb7fad70c8699] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
358.59
362.96
362.42
364.97
364.04
361.06
358.48
352.96
359.59
360.39
357.40
362.93
364.55
365.73
364.70
364.65
359.43
362.14
356.97
354.82
353.17
357.06
356.18
355.01
355.65
357.31
357.07
357.91
358.48
358.97
351.77
352.16
359.08
360.35
359.53
359.30
358.41
359.68
355.31
357.08
349.71
354.13
345.49
341.69
344.25
340.17
342.47
344.43
333.23
339.72
342.61
346.36
339.09
339.73
341.12
335.94
333.46
335.66
341.12
342.21
342.62
346.06
344.43
346.65
343.74
335.67
342.75
341.77
345.84
346.52
350.79
345.44
345.87
338.48
337.21
340.81
339.86
342.86
343.33
341.73
351.38
351.13
345.99
347.55
346.02
345.29
347.03
348.01
345.48
349.40
351.05
349.70
350.86
354.45
355.30
357.48
355.24
351.79
355.22
351.02
350.28
350.17
348.16
340.30
343.75
344.71
344.13
342.14
345.04
346.02
346.43
347.07
339.33
339.10
337.19
339.58
327.85
326.81
321.73
320.45
327.69
323.95
320.47
322.13
316.34
314.78
308.90
308.62
314.41
306.88
310.60
321.60
321.50
325.68
324.35
320.01
326.88
332.39
331.48
332.62
324.79
327.12
328.91
328.37
324.83
325.90
326.18
328.94
333.78
328.06
325.87
325.41
318.86
319.13
310.16
311.73
306.54
311.16
311.98
306.72
308.05
300.76
301.90
293.09
292.76
294.58
289.90
296.69
297.21
293.31
296.25
298.60
296.87
301.02
304.73
301.92
295.72
293.18
298.35
297.99
299.85
299.85
304.45
299.45
298.14
298.78
297.02
301.33
294.96
296.69
300.73
301.96
297.38
293.87
285.96
285.41
283.70
284.76
277.11
274.73
274.73
274.73
274.73
274.69
275.42
264.15
276.24
268.88
277.97
280.49
281.09
276.16
272.58
270.94
284.31
283.94
284.18
282.83
283.84
282.71
279.29
280.70
274.47
273.44
275.49
279.46
280.19
288.21
284.80
281.41
283.39
287.97
290.77
290.60
289.67
289.84
298.55
296.07
297.14
295.34
296.25
294.30
296.15
296.49
298.05
301.03
300.52
301.50
296.93
289.84
291.44
286.88
286.74
288.93
292.19
295.39
295.86
293.36
292.86
292.73
296.73
285.02
285.24
288.62
283.36
285.84
291.48
291.41
287.77
284.97
286.05
278.19
281.21
277.92
280.08
269.24
268.48
268.83
269.54
262.37
265.12
265.34
263.32
267.18
260.75
261.78
257.27
255.63
251.39
259.49
261.18
261.65
262.01
265.23
268.10
262.27
263.59
257.85
265.69
271.15
266.69
265.77
262.32
270.48
273.03
269.13
280.65
282.75
281.44
281.99
282.86
287.21
283.11
280.66
282.39
280.83
284.71
279.99
283.50
284.88
288.60
284.80
287.20
286.22
286.54
279.58
283.08
288.88
280.18
284.16
290.57
286.82
273.00
278.69
264.54
271.92
283.60
269.25
263.58
264.16
268.85
269.67
249.41
268.99
268.65
260.16
256.55
251.47
234.93
232.96
215.49
213.68
236.07
235.41
214.77
225.85
224.64
238.26
232.44
222.50
225.28
220.49
216.86
234.70
230.06
238.27
238.56
242.70
249.14
234.89
227.78
234.04
230.70
230.17
218.23
232.20
220.76
215.60
217.69
204.35
191.44
203.84
211.86
210.57
219.57
219.98
226.01
207.04
212.52
217.92
210.45
218.53
223.32
218.76
217.63
Dataseries Y:
Download CSV
Histogram 
122.36
123.33
123.04
124.53
125.13
125.85
126.50
126.53
127.07
124.55
124.90
124.32
122.84
123.31
123.31
124.87
124.64
124.73
124.90
124.04
123.28
123.86
122.29
124.09
124.54
125.65
125.70
125.53
125.61
125.55
125.41
127.60
124.68
124.41
126.43
126.38
125.78
124.70
125.07
125.25
126.58
127.13
125.82
123.70
124.39
123.70
124.42
121.05
121.02
123.23
121.32
120.91
120.72
123.31
119.58
119.53
120.59
118.63
118.47
111.81
114.71
117.34
115.77
118.38
117.84
118.83
120.02
116.21
117.08
120.20
119.83
118.92
118.03
117.71
119.55
116.13
115.97
115.99
114.96
116.46
116.55
113.05
117.44
118.84
117.06
117.54
119.31
118.72
121.55
122.61
121.53
123.31
124.07
123.59
122.97
123.22
123.04
122.96
122.81
122.81
122.62
120.82
119.41
121.56
121.59
118.50
118.77
118.86
117.60
119.90
121.83
121.84
122.12
122.12
121.36
119.66
119.32
120.36
117.06
117.48
115.60
113.86
116.92
117.75
117.75
115.31
116.28
115.22
115.65
115.11
118.67
118.04
116.50
119.78
119.95
120.37
119.79
119.43
121.06
121.74
121.09
122.97
120.50
117.18
115.03
113.36
112.59
111.65
111.98
114.87
114.67
114.09
114.77
117.05
117.22
113.18
110.95
112.14
112.72
110.01
110.29
110.74
110.32
105.89
108.97
109.34
106.57
99.49
101.81
104.29
109.73
105.06
107.97
108.13
109.86
108.95
111.20
110.69
106.10
105.68
104.12
104.71
104.30
103.52
107.76
107.80
107.30
108.64
105.03
108.30
107.21
109.27
109.50
111.68
111.80
111.75
106.68
106.37
105.76
109.01
109.01
109.01
109.01
107.69
105.19
105.48
102.22
100.54
105.00
105.44
107.89
108.64
106.70
109.10
105.23
108.41
108.80
110.39
110.22
110.86
108.58
107.70
106.62
109.84
107.16
107.26
108.70
109.85
109.41
112.36
111.03
110.67
109.21
113.58
113.88
114.08
112.33
113.92
114.41
114.57
115.35
113.13
113.29
112.56
113.06
113.46
115.39
116.62
117.04
117.42
115.62
115.16
115.69
112.85
114.05
112.00
113.74
116.26
118.63
116.49
118.23
116.83
118.82
114.36
112.02
113.24
109.75
110.33
112.86
113.04
113.80
110.90
109.96
108.69
108.84
108.47
108.07
107.94
108.11
108.11
106.81
105.58
105.61
106.52
103.86
104.60
104.73
105.12
104.76
103.85
103.83
103.22
101.64
102.13
104.33
104.92
107.78
104.49
102.80
102.86
104.51
104.73
102.58
99.93
101.41
101.05
99.86
101.11
100.89
101.09
98.31
98.08
99.55
99.62
97.37
98.16
97.98
98.15
97.10
97.24
96.70
96.64
100.65
96.75
97.74
97.92
98.34
93.84
97.80
96.20
95.99
95.18
95.95
92.23
91.78
92.97
89.76
92.88
96.23
95.79
93.97
93.90
93.60
93.96
88.69
88.57
85.62
86.25
85.33
83.33
77.78
78.70
72.05
80.75
81.41
82.65
75.85
75.70
78.25
77.41
76.84
74.25
74.95
68.78
73.21
73.26
78.67
75.63
74.99
83.87
79.62
80.13
79.76
78.20
78.05
79.05
73.32
75.17
73.26
73.72
73.57
70.60
71.25
74.22
73.32
73.01
74.21
75.32
71.73
71.94
72.94
72.47
71.94
74.30
74.30

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67950&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67950&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67950&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Cross Correlation Function
ParameterValue
Box-Cox transformation parameter (lambda) of X series1
Degree of non-seasonal differencing (d) of X series1
Degree of seasonal differencing (D) of X series0
Seasonal Period (s)1
Box-Cox transformation parameter (lambda) of Y series1
Degree of non-seasonal differencing (d) of Y series1
Degree of seasonal differencing (D) of Y series0
krho(Y[t],X[t+k])
-220.0705769727919414
-21-0.105381148439825
-20-0.0146201359913054
-190.044032445629835
-18-0.0269635567605460
-170.0579647135767476
-16-0.0780088425378274
-15-0.000945643257198556
-140.0497584654737199
-13-0.03924618751387
-120.104396391353828
-11-0.0266095731679349
-10-0.0373335862573655
-90.0152420916929727
-8-0.000375262473281263
-7-0.0235943356796411
-6-0.00247637033788418
-5-0.0174893006306667
-4-0.0111294093215910
-3-0.0353466654984975
-20.415383750602285
-10.00874458695360793
0-0.126034492710922
10.0195269072254270
20.0417195215458797
3-0.0487502953312973
40.0259348306342418
5-0.0393402057471077
60.0960618075548421
7-0.0515557002234703
8-0.031576846141318
90.0980026604336574
10-0.0131242881262169
11-0.0440106847409248
12-0.0496523905895631
13-0.0421294035210823
140.0260145542494824
150.0660728614131466
16-0.0890978642773385
170.101395722485743
18-0.0247523038359919
19-0.0546691936594551
200.0921874556157325
21-0.0695504987397203
220.0281483101982130

\begin{tabular}{lllllllll}
\hline
Cross Correlation Function \tabularnewline
Parameter & Value \tabularnewline
Box-Cox transformation parameter (lambda) of X series & 1 \tabularnewline
Degree of non-seasonal differencing (d) of X series & 1 \tabularnewline
Degree of seasonal differencing (D) of X series & 0 \tabularnewline
Seasonal Period (s) & 1 \tabularnewline
Box-Cox transformation parameter (lambda) of Y series & 1 \tabularnewline
Degree of non-seasonal differencing (d) of Y series & 1 \tabularnewline
Degree of seasonal differencing (D) of Y series & 0 \tabularnewline
k & rho(Y[t],X[t+k]) \tabularnewline
-22 & 0.0705769727919414 \tabularnewline
-21 & -0.105381148439825 \tabularnewline
-20 & -0.0146201359913054 \tabularnewline
-19 & 0.044032445629835 \tabularnewline
-18 & -0.0269635567605460 \tabularnewline
-17 & 0.0579647135767476 \tabularnewline
-16 & -0.0780088425378274 \tabularnewline
-15 & -0.000945643257198556 \tabularnewline
-14 & 0.0497584654737199 \tabularnewline
-13 & -0.03924618751387 \tabularnewline
-12 & 0.104396391353828 \tabularnewline
-11 & -0.0266095731679349 \tabularnewline
-10 & -0.0373335862573655 \tabularnewline
-9 & 0.0152420916929727 \tabularnewline
-8 & -0.000375262473281263 \tabularnewline
-7 & -0.0235943356796411 \tabularnewline
-6 & -0.00247637033788418 \tabularnewline
-5 & -0.0174893006306667 \tabularnewline
-4 & -0.0111294093215910 \tabularnewline
-3 & -0.0353466654984975 \tabularnewline
-2 & 0.415383750602285 \tabularnewline
-1 & 0.00874458695360793 \tabularnewline
0 & -0.126034492710922 \tabularnewline
1 & 0.0195269072254270 \tabularnewline
2 & 0.0417195215458797 \tabularnewline
3 & -0.0487502953312973 \tabularnewline
4 & 0.0259348306342418 \tabularnewline
5 & -0.0393402057471077 \tabularnewline
6 & 0.0960618075548421 \tabularnewline
7 & -0.0515557002234703 \tabularnewline
8 & -0.031576846141318 \tabularnewline
9 & 0.0980026604336574 \tabularnewline
10 & -0.0131242881262169 \tabularnewline
11 & -0.0440106847409248 \tabularnewline
12 & -0.0496523905895631 \tabularnewline
13 & -0.0421294035210823 \tabularnewline
14 & 0.0260145542494824 \tabularnewline
15 & 0.0660728614131466 \tabularnewline
16 & -0.0890978642773385 \tabularnewline
17 & 0.101395722485743 \tabularnewline
18 & -0.0247523038359919 \tabularnewline
19 & -0.0546691936594551 \tabularnewline
20 & 0.0921874556157325 \tabularnewline
21 & -0.0695504987397203 \tabularnewline
22 & 0.0281483101982130 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=67950&T=1

[TABLE]
[ROW][C]Cross Correlation Function[/C][/ROW]
[ROW][C]Parameter[/C][C]Value[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda) of X series[/C][C]1[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d) of X series[/C][C]1[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D) of X series[/C][C]0[/C][/ROW]
[ROW][C]Seasonal Period (s)[/C][C]1[/C][/ROW]
[ROW][C]Box-Cox transformation parameter (lambda) of Y series[/C][C]1[/C][/ROW]
[ROW][C]Degree of non-seasonal differencing (d) of Y series[/C][C]1[/C][/ROW]
[ROW][C]Degree of seasonal differencing (D) of Y series[/C][C]0[/C][/ROW]
[ROW][C]k[/C][C]rho(Y[t],X[t+k])[/C][/ROW]
[ROW][C]-22[/C][C]0.0705769727919414[/C][/ROW]
[ROW][C]-21[/C][C]-0.105381148439825[/C][/ROW]
[ROW][C]-20[/C][C]-0.0146201359913054[/C][/ROW]
[ROW][C]-19[/C][C]0.044032445629835[/C][/ROW]
[ROW][C]-18[/C][C]-0.0269635567605460[/C][/ROW]
[ROW][C]-17[/C][C]0.0579647135767476[/C][/ROW]
[ROW][C]-16[/C][C]-0.0780088425378274[/C][/ROW]
[ROW][C]-15[/C][C]-0.000945643257198556[/C][/ROW]
[ROW][C]-14[/C][C]0.0497584654737199[/C][/ROW]
[ROW][C]-13[/C][C]-0.03924618751387[/C][/ROW]
[ROW][C]-12[/C][C]0.104396391353828[/C][/ROW]
[ROW][C]-11[/C][C]-0.0266095731679349[/C][/ROW]
[ROW][C]-10[/C][C]-0.0373335862573655[/C][/ROW]
[ROW][C]-9[/C][C]0.0152420916929727[/C][/ROW]
[ROW][C]-8[/C][C]-0.000375262473281263[/C][/ROW]
[ROW][C]-7[/C][C]-0.0235943356796411[/C][/ROW]
[ROW][C]-6[/C][C]-0.00247637033788418[/C][/ROW]
[ROW][C]-5[/C][C]-0.0174893006306667[/C][/ROW]
[ROW][C]-4[/C][C]-0.0111294093215910[/C][/ROW]
[ROW][C]-3[/C][C]-0.0353466654984975[/C][/ROW]
[ROW][C]-2[/C][C]0.415383750602285[/C][/ROW]
[ROW][C]-1[/C][C]0.00874458695360793[/C][/ROW]
[ROW][C]0[/C][C]-0.126034492710922[/C][/ROW]
[ROW][C]1[/C][C]0.0195269072254270[/C][/ROW]
[ROW][C]2[/C][C]0.0417195215458797[/C][/ROW]
[ROW][C]3[/C][C]-0.0487502953312973[/C][/ROW]
[ROW][C]4[/C][C]0.0259348306342418[/C][/ROW]
[ROW][C]5[/C][C]-0.0393402057471077[/C][/ROW]
[ROW][C]6[/C][C]0.0960618075548421[/C][/ROW]
[ROW][C]7[/C][C]-0.0515557002234703[/C][/ROW]
[ROW][C]8[/C][C]-0.031576846141318[/C][/ROW]
[ROW][C]9[/C][C]0.0980026604336574[/C][/ROW]
[ROW][C]10[/C][C]-0.0131242881262169[/C][/ROW]
[ROW][C]11[/C][C]-0.0440106847409248[/C][/ROW]
[ROW][C]12[/C][C]-0.0496523905895631[/C][/ROW]
[ROW][C]13[/C][C]-0.0421294035210823[/C][/ROW]
[ROW][C]14[/C][C]0.0260145542494824[/C][/ROW]
[ROW][C]15[/C][C]0.0660728614131466[/C][/ROW]
[ROW][C]16[/C][C]-0.0890978642773385[/C][/ROW]
[ROW][C]17[/C][C]0.101395722485743[/C][/ROW]
[ROW][C]18[/C][C]-0.0247523038359919[/C][/ROW]
[ROW][C]19[/C][C]-0.0546691936594551[/C][/ROW]
[ROW][C]20[/C][C]0.0921874556157325[/C][/ROW]
[ROW][C]21[/C][C]-0.0695504987397203[/C][/ROW]
[ROW][C]22[/C][C]0.0281483101982130[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=67950&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=67950&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Cross Correlation Function
ParameterValue
Box-Cox transformation parameter (lambda) of X series1
Degree of non-seasonal differencing (d) of X series1
Degree of seasonal differencing (D) of X series0
Seasonal Period (s)1
Box-Cox transformation parameter (lambda) of Y series1
Degree of non-seasonal differencing (d) of Y series1
Degree of seasonal differencing (D) of Y series0
krho(Y[t],X[t+k])
-220.0705769727919414
-21-0.105381148439825
-20-0.0146201359913054
-190.044032445629835
-18-0.0269635567605460
-170.0579647135767476
-16-0.0780088425378274
-15-0.000945643257198556
-140.0497584654737199
-13-0.03924618751387
-120.104396391353828
-11-0.0266095731679349
-10-0.0373335862573655
-90.0152420916929727
-8-0.000375262473281263
-7-0.0235943356796411
-6-0.00247637033788418
-5-0.0174893006306667
-4-0.0111294093215910
-3-0.0353466654984975
-20.415383750602285
-10.00874458695360793
0-0.126034492710922
10.0195269072254270
20.0417195215458797
3-0.0487502953312973
40.0259348306342418
5-0.0393402057471077
60.0960618075548421
7-0.0515557002234703
8-0.031576846141318
90.0980026604336574
10-0.0131242881262169
11-0.0440106847409248
12-0.0496523905895631
13-0.0421294035210823
140.0260145542494824
150.0660728614131466
16-0.0890978642773385
170.101395722485743
18-0.0247523038359919
19-0.0546691936594551
200.0921874556157325
21-0.0695504987397203
220.0281483101982130


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 1 ; par6 = 1 ; par7 = 0 ;
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 1 ; par6 = 1 ; par7 = 0 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
par6 <- as.numeric(par6)
par7 <- as.numeric(par7)
if (par1 == 0) {
x <- log(x)
} else {
x <- (x ^ par1 - 1) / par1
}
if (par5 == 0) {
y <- log(y)
} else {
y <- (y ^ par5 - 1) / par5
}
if (par2 > 0) x <- diff(x,lag=1,difference=par2)
if (par6 > 0) y <- diff(y,lag=1,difference=par6)
if (par3 > 0) x <- diff(x,lag=par4,difference=par3)
if (par7 > 0) y <- diff(y,lag=par4,difference=par7)
x
y
bitmap(file='test1.png')
(r <- ccf(x,y,main='Cross Correlation Function',ylab='CCF',xlab='Lag (k)'))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Cross Correlation Function',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'Value',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Box-Cox transformation parameter (lambda) of X series',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of non-seasonal differencing (d) of X series',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of seasonal differencing (D) of X series',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Seasonal Period (s)',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Box-Cox transformation parameter (lambda) of Y series',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of non-seasonal differencing (d) of Y series',header=TRUE)
a<-table.element(a,par6)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degree of seasonal differencing (D) of Y series',header=TRUE)
a<-table.element(a,par7)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'k',header=TRUE)
a<-table.element(a,'rho(Y[t],X[t+k])',header=TRUE)
a<-table.row.end(a)
mylength <- length(r$acf)
myhalf <- floor((mylength-1)/2)
for (i in 1:mylength) {
a<-table.row.start(a)
a<-table.element(a,i-myhalf-1,header=TRUE)
a<-table.element(a,r$acf[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')