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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 13:32:46 -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/2008/Dec/17/t122954600199u2a0moqdueljp.htm/, Retrieved Sun, 26 May 2024 18:09:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34543, Retrieved Sun, 26 May 2024 18:09:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Dooren Leen
Estimated Impact153
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper] [2008-12-17 20:32:46] [d175f84d503eb4f2a43145d5e67795b5] [Current]
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Dataseries X:
98.6
98.0
106.8
96.6
100.1
107.7
91.5
97.8
107.4
117.5
105.6
97.4
99.5
98.0
104.3
100.6
101.1
103.9
96.9
95.5
108.4
117.0
103.8
100.8
110.6
104.0
112.6
107.3
98.9
109.8
104.9
102.2
123.9
124.9
112.7
121.9
100.6
104.3
120.4
107.5
102.9
125.6
107.5
108.8
128.4
121.1
119.5
128.7
108.7
105.5
119.8
111.3
110.6
120.1
97.5
107.7
127.3
117.2
119.8
116.2
111.0
112.4
130.6
109.1
118.8
123.9
101.6
112.8
128.0
129.6
125.8
119.5
115.7
113.6
129.7
112.0
116.8
127.0
112.1
114.2
121.1
131.6
125.0
120.4
117.7
117.5
120.6
127.5
112.3
124.5
115.2
104.7
130.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34543&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34543&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34543&T=0

As an alternative you can also use a 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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0181930.16370.435173
20.0846470.76180.22419
30.2514452.2630.013156
4-0.087743-0.78970.216009
50.1196331.07670.142406
60.1804481.6240.054127
7-0.120495-1.08450.14069
80.0982810.88450.189514
90.2291712.06250.021181
10-0.168149-1.51330.067043
11-0.056964-0.51270.304785
12-0.151676-1.36510.088003
13-0.235807-2.12230.018435
140.0839680.75570.226008
15-0.066182-0.59560.276539
16-0.139713-1.25740.106109
170.1583371.4250.078995
18-0.090994-0.81890.20761
19-0.211917-1.90730.030016
20-0.002684-0.02420.490395
21-0.062226-0.560.288501
22-0.139637-1.25670.106231
230.1779481.60150.056577
24-0.269178-2.42260.00882
25-0.089722-0.80750.210872
260.04170.37530.354209
27-0.035424-0.31880.375342
28-0.079296-0.71370.238743
290.0086770.07810.468972
30-0.020495-0.18450.427057
310.068410.61570.269914
320.1332471.19920.11697
33-0.153181-1.37860.085902
340.0390920.35180.362942
350.1058670.95280.171763
360.0477460.42970.334273
370.2099461.88950.0312
380.0692870.62360.267327
39-0.060005-0.540.295323
400.1062490.95620.170898
41-0.006564-0.05910.476517
42-0.082053-0.73850.231181
430.0594560.53510.297021
440.0567630.51090.305418
45-0.094446-0.850.198912
460.1372431.23520.110166
47-0.086915-0.78220.218179
48-0.149677-1.34710.090854
49-0.004999-0.0450.482112
50-0.121876-1.09690.137972
51-0.116793-1.05110.14816
520.0887370.79860.213418
53-0.068205-0.61380.27052
54-0.034721-0.31250.377737
550.0388840.350.363638
56-0.201407-1.81270.036794
57-0.018489-0.16640.434129
58-0.002432-0.02190.491297
59-0.087948-0.79150.215472
600.0417960.37620.353888

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.018193 & 0.1637 & 0.435173 \tabularnewline
2 & 0.084647 & 0.7618 & 0.22419 \tabularnewline
3 & 0.251445 & 2.263 & 0.013156 \tabularnewline
4 & -0.087743 & -0.7897 & 0.216009 \tabularnewline
5 & 0.119633 & 1.0767 & 0.142406 \tabularnewline
6 & 0.180448 & 1.624 & 0.054127 \tabularnewline
7 & -0.120495 & -1.0845 & 0.14069 \tabularnewline
8 & 0.098281 & 0.8845 & 0.189514 \tabularnewline
9 & 0.229171 & 2.0625 & 0.021181 \tabularnewline
10 & -0.168149 & -1.5133 & 0.067043 \tabularnewline
11 & -0.056964 & -0.5127 & 0.304785 \tabularnewline
12 & -0.151676 & -1.3651 & 0.088003 \tabularnewline
13 & -0.235807 & -2.1223 & 0.018435 \tabularnewline
14 & 0.083968 & 0.7557 & 0.226008 \tabularnewline
15 & -0.066182 & -0.5956 & 0.276539 \tabularnewline
16 & -0.139713 & -1.2574 & 0.106109 \tabularnewline
17 & 0.158337 & 1.425 & 0.078995 \tabularnewline
18 & -0.090994 & -0.8189 & 0.20761 \tabularnewline
19 & -0.211917 & -1.9073 & 0.030016 \tabularnewline
20 & -0.002684 & -0.0242 & 0.490395 \tabularnewline
21 & -0.062226 & -0.56 & 0.288501 \tabularnewline
22 & -0.139637 & -1.2567 & 0.106231 \tabularnewline
23 & 0.177948 & 1.6015 & 0.056577 \tabularnewline
24 & -0.269178 & -2.4226 & 0.00882 \tabularnewline
25 & -0.089722 & -0.8075 & 0.210872 \tabularnewline
26 & 0.0417 & 0.3753 & 0.354209 \tabularnewline
27 & -0.035424 & -0.3188 & 0.375342 \tabularnewline
28 & -0.079296 & -0.7137 & 0.238743 \tabularnewline
29 & 0.008677 & 0.0781 & 0.468972 \tabularnewline
30 & -0.020495 & -0.1845 & 0.427057 \tabularnewline
31 & 0.06841 & 0.6157 & 0.269914 \tabularnewline
32 & 0.133247 & 1.1992 & 0.11697 \tabularnewline
33 & -0.153181 & -1.3786 & 0.085902 \tabularnewline
34 & 0.039092 & 0.3518 & 0.362942 \tabularnewline
35 & 0.105867 & 0.9528 & 0.171763 \tabularnewline
36 & 0.047746 & 0.4297 & 0.334273 \tabularnewline
37 & 0.209946 & 1.8895 & 0.0312 \tabularnewline
38 & 0.069287 & 0.6236 & 0.267327 \tabularnewline
39 & -0.060005 & -0.54 & 0.295323 \tabularnewline
40 & 0.106249 & 0.9562 & 0.170898 \tabularnewline
41 & -0.006564 & -0.0591 & 0.476517 \tabularnewline
42 & -0.082053 & -0.7385 & 0.231181 \tabularnewline
43 & 0.059456 & 0.5351 & 0.297021 \tabularnewline
44 & 0.056763 & 0.5109 & 0.305418 \tabularnewline
45 & -0.094446 & -0.85 & 0.198912 \tabularnewline
46 & 0.137243 & 1.2352 & 0.110166 \tabularnewline
47 & -0.086915 & -0.7822 & 0.218179 \tabularnewline
48 & -0.149677 & -1.3471 & 0.090854 \tabularnewline
49 & -0.004999 & -0.045 & 0.482112 \tabularnewline
50 & -0.121876 & -1.0969 & 0.137972 \tabularnewline
51 & -0.116793 & -1.0511 & 0.14816 \tabularnewline
52 & 0.088737 & 0.7986 & 0.213418 \tabularnewline
53 & -0.068205 & -0.6138 & 0.27052 \tabularnewline
54 & -0.034721 & -0.3125 & 0.377737 \tabularnewline
55 & 0.038884 & 0.35 & 0.363638 \tabularnewline
56 & -0.201407 & -1.8127 & 0.036794 \tabularnewline
57 & -0.018489 & -0.1664 & 0.434129 \tabularnewline
58 & -0.002432 & -0.0219 & 0.491297 \tabularnewline
59 & -0.087948 & -0.7915 & 0.215472 \tabularnewline
60 & 0.041796 & 0.3762 & 0.353888 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34543&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.018193[/C][C]0.1637[/C][C]0.435173[/C][/ROW]
[ROW][C]2[/C][C]0.084647[/C][C]0.7618[/C][C]0.22419[/C][/ROW]
[ROW][C]3[/C][C]0.251445[/C][C]2.263[/C][C]0.013156[/C][/ROW]
[ROW][C]4[/C][C]-0.087743[/C][C]-0.7897[/C][C]0.216009[/C][/ROW]
[ROW][C]5[/C][C]0.119633[/C][C]1.0767[/C][C]0.142406[/C][/ROW]
[ROW][C]6[/C][C]0.180448[/C][C]1.624[/C][C]0.054127[/C][/ROW]
[ROW][C]7[/C][C]-0.120495[/C][C]-1.0845[/C][C]0.14069[/C][/ROW]
[ROW][C]8[/C][C]0.098281[/C][C]0.8845[/C][C]0.189514[/C][/ROW]
[ROW][C]9[/C][C]0.229171[/C][C]2.0625[/C][C]0.021181[/C][/ROW]
[ROW][C]10[/C][C]-0.168149[/C][C]-1.5133[/C][C]0.067043[/C][/ROW]
[ROW][C]11[/C][C]-0.056964[/C][C]-0.5127[/C][C]0.304785[/C][/ROW]
[ROW][C]12[/C][C]-0.151676[/C][C]-1.3651[/C][C]0.088003[/C][/ROW]
[ROW][C]13[/C][C]-0.235807[/C][C]-2.1223[/C][C]0.018435[/C][/ROW]
[ROW][C]14[/C][C]0.083968[/C][C]0.7557[/C][C]0.226008[/C][/ROW]
[ROW][C]15[/C][C]-0.066182[/C][C]-0.5956[/C][C]0.276539[/C][/ROW]
[ROW][C]16[/C][C]-0.139713[/C][C]-1.2574[/C][C]0.106109[/C][/ROW]
[ROW][C]17[/C][C]0.158337[/C][C]1.425[/C][C]0.078995[/C][/ROW]
[ROW][C]18[/C][C]-0.090994[/C][C]-0.8189[/C][C]0.20761[/C][/ROW]
[ROW][C]19[/C][C]-0.211917[/C][C]-1.9073[/C][C]0.030016[/C][/ROW]
[ROW][C]20[/C][C]-0.002684[/C][C]-0.0242[/C][C]0.490395[/C][/ROW]
[ROW][C]21[/C][C]-0.062226[/C][C]-0.56[/C][C]0.288501[/C][/ROW]
[ROW][C]22[/C][C]-0.139637[/C][C]-1.2567[/C][C]0.106231[/C][/ROW]
[ROW][C]23[/C][C]0.177948[/C][C]1.6015[/C][C]0.056577[/C][/ROW]
[ROW][C]24[/C][C]-0.269178[/C][C]-2.4226[/C][C]0.00882[/C][/ROW]
[ROW][C]25[/C][C]-0.089722[/C][C]-0.8075[/C][C]0.210872[/C][/ROW]
[ROW][C]26[/C][C]0.0417[/C][C]0.3753[/C][C]0.354209[/C][/ROW]
[ROW][C]27[/C][C]-0.035424[/C][C]-0.3188[/C][C]0.375342[/C][/ROW]
[ROW][C]28[/C][C]-0.079296[/C][C]-0.7137[/C][C]0.238743[/C][/ROW]
[ROW][C]29[/C][C]0.008677[/C][C]0.0781[/C][C]0.468972[/C][/ROW]
[ROW][C]30[/C][C]-0.020495[/C][C]-0.1845[/C][C]0.427057[/C][/ROW]
[ROW][C]31[/C][C]0.06841[/C][C]0.6157[/C][C]0.269914[/C][/ROW]
[ROW][C]32[/C][C]0.133247[/C][C]1.1992[/C][C]0.11697[/C][/ROW]
[ROW][C]33[/C][C]-0.153181[/C][C]-1.3786[/C][C]0.085902[/C][/ROW]
[ROW][C]34[/C][C]0.039092[/C][C]0.3518[/C][C]0.362942[/C][/ROW]
[ROW][C]35[/C][C]0.105867[/C][C]0.9528[/C][C]0.171763[/C][/ROW]
[ROW][C]36[/C][C]0.047746[/C][C]0.4297[/C][C]0.334273[/C][/ROW]
[ROW][C]37[/C][C]0.209946[/C][C]1.8895[/C][C]0.0312[/C][/ROW]
[ROW][C]38[/C][C]0.069287[/C][C]0.6236[/C][C]0.267327[/C][/ROW]
[ROW][C]39[/C][C]-0.060005[/C][C]-0.54[/C][C]0.295323[/C][/ROW]
[ROW][C]40[/C][C]0.106249[/C][C]0.9562[/C][C]0.170898[/C][/ROW]
[ROW][C]41[/C][C]-0.006564[/C][C]-0.0591[/C][C]0.476517[/C][/ROW]
[ROW][C]42[/C][C]-0.082053[/C][C]-0.7385[/C][C]0.231181[/C][/ROW]
[ROW][C]43[/C][C]0.059456[/C][C]0.5351[/C][C]0.297021[/C][/ROW]
[ROW][C]44[/C][C]0.056763[/C][C]0.5109[/C][C]0.305418[/C][/ROW]
[ROW][C]45[/C][C]-0.094446[/C][C]-0.85[/C][C]0.198912[/C][/ROW]
[ROW][C]46[/C][C]0.137243[/C][C]1.2352[/C][C]0.110166[/C][/ROW]
[ROW][C]47[/C][C]-0.086915[/C][C]-0.7822[/C][C]0.218179[/C][/ROW]
[ROW][C]48[/C][C]-0.149677[/C][C]-1.3471[/C][C]0.090854[/C][/ROW]
[ROW][C]49[/C][C]-0.004999[/C][C]-0.045[/C][C]0.482112[/C][/ROW]
[ROW][C]50[/C][C]-0.121876[/C][C]-1.0969[/C][C]0.137972[/C][/ROW]
[ROW][C]51[/C][C]-0.116793[/C][C]-1.0511[/C][C]0.14816[/C][/ROW]
[ROW][C]52[/C][C]0.088737[/C][C]0.7986[/C][C]0.213418[/C][/ROW]
[ROW][C]53[/C][C]-0.068205[/C][C]-0.6138[/C][C]0.27052[/C][/ROW]
[ROW][C]54[/C][C]-0.034721[/C][C]-0.3125[/C][C]0.377737[/C][/ROW]
[ROW][C]55[/C][C]0.038884[/C][C]0.35[/C][C]0.363638[/C][/ROW]
[ROW][C]56[/C][C]-0.201407[/C][C]-1.8127[/C][C]0.036794[/C][/ROW]
[ROW][C]57[/C][C]-0.018489[/C][C]-0.1664[/C][C]0.434129[/C][/ROW]
[ROW][C]58[/C][C]-0.002432[/C][C]-0.0219[/C][C]0.491297[/C][/ROW]
[ROW][C]59[/C][C]-0.087948[/C][C]-0.7915[/C][C]0.215472[/C][/ROW]
[ROW][C]60[/C][C]0.041796[/C][C]0.3762[/C][C]0.353888[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34543&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34543&T=1

As an alternative you can also use a QR Code:  

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

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0181930.16370.435173
20.0846470.76180.22419
30.2514452.2630.013156
4-0.087743-0.78970.216009
50.1196331.07670.142406
60.1804481.6240.054127
7-0.120495-1.08450.14069
80.0982810.88450.189514
90.2291712.06250.021181
10-0.168149-1.51330.067043
11-0.056964-0.51270.304785
12-0.151676-1.36510.088003
13-0.235807-2.12230.018435
140.0839680.75570.226008
15-0.066182-0.59560.276539
16-0.139713-1.25740.106109
170.1583371.4250.078995
18-0.090994-0.81890.20761
19-0.211917-1.90730.030016
20-0.002684-0.02420.490395
21-0.062226-0.560.288501
22-0.139637-1.25670.106231
230.1779481.60150.056577
24-0.269178-2.42260.00882
25-0.089722-0.80750.210872
260.04170.37530.354209
27-0.035424-0.31880.375342
28-0.079296-0.71370.238743
290.0086770.07810.468972
30-0.020495-0.18450.427057
310.068410.61570.269914
320.1332471.19920.11697
33-0.153181-1.37860.085902
340.0390920.35180.362942
350.1058670.95280.171763
360.0477460.42970.334273
370.2099461.88950.0312
380.0692870.62360.267327
39-0.060005-0.540.295323
400.1062490.95620.170898
41-0.006564-0.05910.476517
42-0.082053-0.73850.231181
430.0594560.53510.297021
440.0567630.51090.305418
45-0.094446-0.850.198912
460.1372431.23520.110166
47-0.086915-0.78220.218179
48-0.149677-1.34710.090854
49-0.004999-0.0450.482112
50-0.121876-1.09690.137972
51-0.116793-1.05110.14816
520.0887370.79860.213418
53-0.068205-0.61380.27052
54-0.034721-0.31250.377737
550.0388840.350.363638
56-0.201407-1.81270.036794
57-0.018489-0.16640.434129
58-0.002432-0.02190.491297
59-0.087948-0.79150.215472
600.0417960.37620.353888







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0181930.16370.435173
20.0843430.75910.225001
30.2503642.25330.013472
4-0.105298-0.94770.173055
50.0869940.78290.217972
60.1414961.27350.103248
7-0.106933-0.96240.169356
80.0238790.21490.415188
90.2183561.96520.026409
10-0.147409-1.32670.09417
11-0.19837-1.78530.038975
12-0.22179-1.99610.024641
13-0.113152-1.01840.155768
140.082340.74110.230399
150.00650.05850.476747
16-0.011004-0.0990.460677
170.1734611.56110.061194
18-0.025078-0.22570.411001
19-0.212989-1.91690.029388
20-0.055248-0.49720.310187
210.2027831.8250.03584
22-0.115713-1.04140.15039
23-0.02016-0.18140.428239
24-0.308725-2.77850.003392
25-0.091575-0.82420.206131
26-0.114428-1.02980.153073
270.2835622.55210.006294
280.0633120.56980.285193
290.0759330.68340.248154
30-0.028102-0.25290.400487
31-0.018149-0.16330.435328
32-0.008448-0.0760.469792
330.0087470.07870.468725
340.0186490.16780.433563
350.0598140.53830.295913
36-0.047463-0.42720.335194
370.0211230.19010.424852
38-0.047105-0.42390.336364
39-0.017287-0.15560.438373
40-0.053871-0.48480.314551
410.0743450.66910.252664
420.0290990.26190.397034
43-0.013278-0.11950.452586
44-0.080344-0.72310.235853
45-0.101358-0.91220.182179
460.0107250.09650.461672
470.0774170.69670.243977
48-0.149402-1.34460.09125
490.0037180.03350.486695
50-0.059701-0.53730.296265
51-0.024519-0.22070.412951
52-0.032488-0.29240.385369
530.0200990.18090.428451
540.0371230.33410.369582
550.0543760.48940.312945
56-0.043278-0.38950.348965
57-0.046106-0.4150.339635
58-0.122473-1.10230.136806
590.041470.37320.354975
600.0227360.20460.419191

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.018193 & 0.1637 & 0.435173 \tabularnewline
2 & 0.084343 & 0.7591 & 0.225001 \tabularnewline
3 & 0.250364 & 2.2533 & 0.013472 \tabularnewline
4 & -0.105298 & -0.9477 & 0.173055 \tabularnewline
5 & 0.086994 & 0.7829 & 0.217972 \tabularnewline
6 & 0.141496 & 1.2735 & 0.103248 \tabularnewline
7 & -0.106933 & -0.9624 & 0.169356 \tabularnewline
8 & 0.023879 & 0.2149 & 0.415188 \tabularnewline
9 & 0.218356 & 1.9652 & 0.026409 \tabularnewline
10 & -0.147409 & -1.3267 & 0.09417 \tabularnewline
11 & -0.19837 & -1.7853 & 0.038975 \tabularnewline
12 & -0.22179 & -1.9961 & 0.024641 \tabularnewline
13 & -0.113152 & -1.0184 & 0.155768 \tabularnewline
14 & 0.08234 & 0.7411 & 0.230399 \tabularnewline
15 & 0.0065 & 0.0585 & 0.476747 \tabularnewline
16 & -0.011004 & -0.099 & 0.460677 \tabularnewline
17 & 0.173461 & 1.5611 & 0.061194 \tabularnewline
18 & -0.025078 & -0.2257 & 0.411001 \tabularnewline
19 & -0.212989 & -1.9169 & 0.029388 \tabularnewline
20 & -0.055248 & -0.4972 & 0.310187 \tabularnewline
21 & 0.202783 & 1.825 & 0.03584 \tabularnewline
22 & -0.115713 & -1.0414 & 0.15039 \tabularnewline
23 & -0.02016 & -0.1814 & 0.428239 \tabularnewline
24 & -0.308725 & -2.7785 & 0.003392 \tabularnewline
25 & -0.091575 & -0.8242 & 0.206131 \tabularnewline
26 & -0.114428 & -1.0298 & 0.153073 \tabularnewline
27 & 0.283562 & 2.5521 & 0.006294 \tabularnewline
28 & 0.063312 & 0.5698 & 0.285193 \tabularnewline
29 & 0.075933 & 0.6834 & 0.248154 \tabularnewline
30 & -0.028102 & -0.2529 & 0.400487 \tabularnewline
31 & -0.018149 & -0.1633 & 0.435328 \tabularnewline
32 & -0.008448 & -0.076 & 0.469792 \tabularnewline
33 & 0.008747 & 0.0787 & 0.468725 \tabularnewline
34 & 0.018649 & 0.1678 & 0.433563 \tabularnewline
35 & 0.059814 & 0.5383 & 0.295913 \tabularnewline
36 & -0.047463 & -0.4272 & 0.335194 \tabularnewline
37 & 0.021123 & 0.1901 & 0.424852 \tabularnewline
38 & -0.047105 & -0.4239 & 0.336364 \tabularnewline
39 & -0.017287 & -0.1556 & 0.438373 \tabularnewline
40 & -0.053871 & -0.4848 & 0.314551 \tabularnewline
41 & 0.074345 & 0.6691 & 0.252664 \tabularnewline
42 & 0.029099 & 0.2619 & 0.397034 \tabularnewline
43 & -0.013278 & -0.1195 & 0.452586 \tabularnewline
44 & -0.080344 & -0.7231 & 0.235853 \tabularnewline
45 & -0.101358 & -0.9122 & 0.182179 \tabularnewline
46 & 0.010725 & 0.0965 & 0.461672 \tabularnewline
47 & 0.077417 & 0.6967 & 0.243977 \tabularnewline
48 & -0.149402 & -1.3446 & 0.09125 \tabularnewline
49 & 0.003718 & 0.0335 & 0.486695 \tabularnewline
50 & -0.059701 & -0.5373 & 0.296265 \tabularnewline
51 & -0.024519 & -0.2207 & 0.412951 \tabularnewline
52 & -0.032488 & -0.2924 & 0.385369 \tabularnewline
53 & 0.020099 & 0.1809 & 0.428451 \tabularnewline
54 & 0.037123 & 0.3341 & 0.369582 \tabularnewline
55 & 0.054376 & 0.4894 & 0.312945 \tabularnewline
56 & -0.043278 & -0.3895 & 0.348965 \tabularnewline
57 & -0.046106 & -0.415 & 0.339635 \tabularnewline
58 & -0.122473 & -1.1023 & 0.136806 \tabularnewline
59 & 0.04147 & 0.3732 & 0.354975 \tabularnewline
60 & 0.022736 & 0.2046 & 0.419191 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34543&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.018193[/C][C]0.1637[/C][C]0.435173[/C][/ROW]
[ROW][C]2[/C][C]0.084343[/C][C]0.7591[/C][C]0.225001[/C][/ROW]
[ROW][C]3[/C][C]0.250364[/C][C]2.2533[/C][C]0.013472[/C][/ROW]
[ROW][C]4[/C][C]-0.105298[/C][C]-0.9477[/C][C]0.173055[/C][/ROW]
[ROW][C]5[/C][C]0.086994[/C][C]0.7829[/C][C]0.217972[/C][/ROW]
[ROW][C]6[/C][C]0.141496[/C][C]1.2735[/C][C]0.103248[/C][/ROW]
[ROW][C]7[/C][C]-0.106933[/C][C]-0.9624[/C][C]0.169356[/C][/ROW]
[ROW][C]8[/C][C]0.023879[/C][C]0.2149[/C][C]0.415188[/C][/ROW]
[ROW][C]9[/C][C]0.218356[/C][C]1.9652[/C][C]0.026409[/C][/ROW]
[ROW][C]10[/C][C]-0.147409[/C][C]-1.3267[/C][C]0.09417[/C][/ROW]
[ROW][C]11[/C][C]-0.19837[/C][C]-1.7853[/C][C]0.038975[/C][/ROW]
[ROW][C]12[/C][C]-0.22179[/C][C]-1.9961[/C][C]0.024641[/C][/ROW]
[ROW][C]13[/C][C]-0.113152[/C][C]-1.0184[/C][C]0.155768[/C][/ROW]
[ROW][C]14[/C][C]0.08234[/C][C]0.7411[/C][C]0.230399[/C][/ROW]
[ROW][C]15[/C][C]0.0065[/C][C]0.0585[/C][C]0.476747[/C][/ROW]
[ROW][C]16[/C][C]-0.011004[/C][C]-0.099[/C][C]0.460677[/C][/ROW]
[ROW][C]17[/C][C]0.173461[/C][C]1.5611[/C][C]0.061194[/C][/ROW]
[ROW][C]18[/C][C]-0.025078[/C][C]-0.2257[/C][C]0.411001[/C][/ROW]
[ROW][C]19[/C][C]-0.212989[/C][C]-1.9169[/C][C]0.029388[/C][/ROW]
[ROW][C]20[/C][C]-0.055248[/C][C]-0.4972[/C][C]0.310187[/C][/ROW]
[ROW][C]21[/C][C]0.202783[/C][C]1.825[/C][C]0.03584[/C][/ROW]
[ROW][C]22[/C][C]-0.115713[/C][C]-1.0414[/C][C]0.15039[/C][/ROW]
[ROW][C]23[/C][C]-0.02016[/C][C]-0.1814[/C][C]0.428239[/C][/ROW]
[ROW][C]24[/C][C]-0.308725[/C][C]-2.7785[/C][C]0.003392[/C][/ROW]
[ROW][C]25[/C][C]-0.091575[/C][C]-0.8242[/C][C]0.206131[/C][/ROW]
[ROW][C]26[/C][C]-0.114428[/C][C]-1.0298[/C][C]0.153073[/C][/ROW]
[ROW][C]27[/C][C]0.283562[/C][C]2.5521[/C][C]0.006294[/C][/ROW]
[ROW][C]28[/C][C]0.063312[/C][C]0.5698[/C][C]0.285193[/C][/ROW]
[ROW][C]29[/C][C]0.075933[/C][C]0.6834[/C][C]0.248154[/C][/ROW]
[ROW][C]30[/C][C]-0.028102[/C][C]-0.2529[/C][C]0.400487[/C][/ROW]
[ROW][C]31[/C][C]-0.018149[/C][C]-0.1633[/C][C]0.435328[/C][/ROW]
[ROW][C]32[/C][C]-0.008448[/C][C]-0.076[/C][C]0.469792[/C][/ROW]
[ROW][C]33[/C][C]0.008747[/C][C]0.0787[/C][C]0.468725[/C][/ROW]
[ROW][C]34[/C][C]0.018649[/C][C]0.1678[/C][C]0.433563[/C][/ROW]
[ROW][C]35[/C][C]0.059814[/C][C]0.5383[/C][C]0.295913[/C][/ROW]
[ROW][C]36[/C][C]-0.047463[/C][C]-0.4272[/C][C]0.335194[/C][/ROW]
[ROW][C]37[/C][C]0.021123[/C][C]0.1901[/C][C]0.424852[/C][/ROW]
[ROW][C]38[/C][C]-0.047105[/C][C]-0.4239[/C][C]0.336364[/C][/ROW]
[ROW][C]39[/C][C]-0.017287[/C][C]-0.1556[/C][C]0.438373[/C][/ROW]
[ROW][C]40[/C][C]-0.053871[/C][C]-0.4848[/C][C]0.314551[/C][/ROW]
[ROW][C]41[/C][C]0.074345[/C][C]0.6691[/C][C]0.252664[/C][/ROW]
[ROW][C]42[/C][C]0.029099[/C][C]0.2619[/C][C]0.397034[/C][/ROW]
[ROW][C]43[/C][C]-0.013278[/C][C]-0.1195[/C][C]0.452586[/C][/ROW]
[ROW][C]44[/C][C]-0.080344[/C][C]-0.7231[/C][C]0.235853[/C][/ROW]
[ROW][C]45[/C][C]-0.101358[/C][C]-0.9122[/C][C]0.182179[/C][/ROW]
[ROW][C]46[/C][C]0.010725[/C][C]0.0965[/C][C]0.461672[/C][/ROW]
[ROW][C]47[/C][C]0.077417[/C][C]0.6967[/C][C]0.243977[/C][/ROW]
[ROW][C]48[/C][C]-0.149402[/C][C]-1.3446[/C][C]0.09125[/C][/ROW]
[ROW][C]49[/C][C]0.003718[/C][C]0.0335[/C][C]0.486695[/C][/ROW]
[ROW][C]50[/C][C]-0.059701[/C][C]-0.5373[/C][C]0.296265[/C][/ROW]
[ROW][C]51[/C][C]-0.024519[/C][C]-0.2207[/C][C]0.412951[/C][/ROW]
[ROW][C]52[/C][C]-0.032488[/C][C]-0.2924[/C][C]0.385369[/C][/ROW]
[ROW][C]53[/C][C]0.020099[/C][C]0.1809[/C][C]0.428451[/C][/ROW]
[ROW][C]54[/C][C]0.037123[/C][C]0.3341[/C][C]0.369582[/C][/ROW]
[ROW][C]55[/C][C]0.054376[/C][C]0.4894[/C][C]0.312945[/C][/ROW]
[ROW][C]56[/C][C]-0.043278[/C][C]-0.3895[/C][C]0.348965[/C][/ROW]
[ROW][C]57[/C][C]-0.046106[/C][C]-0.415[/C][C]0.339635[/C][/ROW]
[ROW][C]58[/C][C]-0.122473[/C][C]-1.1023[/C][C]0.136806[/C][/ROW]
[ROW][C]59[/C][C]0.04147[/C][C]0.3732[/C][C]0.354975[/C][/ROW]
[ROW][C]60[/C][C]0.022736[/C][C]0.2046[/C][C]0.419191[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34543&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34543&T=2

As an alternative you can also use a QR Code:  

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

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0181930.16370.435173
20.0843430.75910.225001
30.2503642.25330.013472
4-0.105298-0.94770.173055
50.0869940.78290.217972
60.1414961.27350.103248
7-0.106933-0.96240.169356
80.0238790.21490.415188
90.2183561.96520.026409
10-0.147409-1.32670.09417
11-0.19837-1.78530.038975
12-0.22179-1.99610.024641
13-0.113152-1.01840.155768
140.082340.74110.230399
150.00650.05850.476747
16-0.011004-0.0990.460677
170.1734611.56110.061194
18-0.025078-0.22570.411001
19-0.212989-1.91690.029388
20-0.055248-0.49720.310187
210.2027831.8250.03584
22-0.115713-1.04140.15039
23-0.02016-0.18140.428239
24-0.308725-2.77850.003392
25-0.091575-0.82420.206131
26-0.114428-1.02980.153073
270.2835622.55210.006294
280.0633120.56980.285193
290.0759330.68340.248154
30-0.028102-0.25290.400487
31-0.018149-0.16330.435328
32-0.008448-0.0760.469792
330.0087470.07870.468725
340.0186490.16780.433563
350.0598140.53830.295913
36-0.047463-0.42720.335194
370.0211230.19010.424852
38-0.047105-0.42390.336364
39-0.017287-0.15560.438373
40-0.053871-0.48480.314551
410.0743450.66910.252664
420.0290990.26190.397034
43-0.013278-0.11950.452586
44-0.080344-0.72310.235853
45-0.101358-0.91220.182179
460.0107250.09650.461672
470.0774170.69670.243977
48-0.149402-1.34460.09125
490.0037180.03350.486695
50-0.059701-0.53730.296265
51-0.024519-0.22070.412951
52-0.032488-0.29240.385369
530.0200990.18090.428451
540.0371230.33410.369582
550.0543760.48940.312945
56-0.043278-0.38950.348965
57-0.046106-0.4150.339635
58-0.122473-1.10230.136806
590.041470.37320.354975
600.0227360.20460.419191



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')