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of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 03 Dec 2008 10:05:58 -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/03/t1228324044ue85h6iztd20475.htm/, Retrieved Tue, 21 May 2024 00:35:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28796, Retrieved Tue, 21 May 2024 00:35:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [(Partial) Autocorrelation Function] [ACF] [2008-12-03 17:05:58] [21d7d81e7693ad6dde5aadefb1046611] [Current]
Feedback Forum
2008-12-14 21:21:10 [Bob Leysen] [reply
We zien een fluctuerende dalende trend van een niet-stationaire tijdreeks.

De oorzaak van de gote pieken is dat d=0 en D=0

In de volgende grafieken gaan de pieken geleidelijk weg, tot we komen aan een model met d=1 en D=1
2008-12-15 18:02:55 [Davy De Nef] [reply
Vervolgens wordt er in stap 2 gebruik gemaakt van de Autocorrelationfunction. Daarbij worden de timelags op 60 geplaatst. Wat we dan te zien krijgen op de grafiek is een duidelijk dalende lange termijntrend.
Deze zal weggewerkt kunnen worden door d=1 te stellen in plaats van d=0.

Post a new message
Dataseries X:
206010
198112
194519
185705
180173
176142
203401
221902
197378
185001
176356
180449
180144
173666
165688
161570
156145
153730
182698
200765
176512
166618
158644
159585
163095
159044
155511
153745
150569
150605
179612
194690
189917
184128
175335
179566
181140
177876
175041
169292
166070
166972
206348
215706
202108
195411
193111
195198
198770
194163
190420
189733
186029
191531
232571
243477
227247
217859
208679
213188
216234
213586
209465
204045
200237
203666
241476
260307
243324
244460
233575
237217
235243
230354
227184
221678
217142
219452
256446
265845
248624
241114
229245
231805
219277
219313
212610
214771
211142
211457
240048
240636
230580
208795
197922
194596
194581
185686
178106
172608
167302
168053
202300
202388
182516
173476
166444
171297
169701
164182
161914
159612
151001
158114
186530
187069
174330
169362




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28796&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]3 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=28796&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28796&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8913649.68270
20.735457.9890
30.6483697.04310
40.6223366.76030
50.6182796.71620
60.6004036.5220
70.5641596.12830
80.5118565.56020
90.4934055.35980
100.5288245.74450
110.6266086.80670
120.6673437.24920
130.5361635.82420
140.3673873.99085.7e-05
150.2632582.85970.002508
160.2140362.3250.01089
170.1861322.02190.022724
180.1523941.65540.050248
190.1020931.1090.134839
200.0408360.44360.329076
210.0138740.15070.440229
220.0368640.40040.344777
230.115161.2510.106713
240.141151.53330.063941
250.0227360.2470.402679
26-0.118202-1.2840.100829
27-0.20168-2.19080.015216
28-0.235893-2.56250.005826
29-0.249185-2.70680.0039
30-0.267075-2.90120.002218
31-0.295426-3.20910.000857
32-0.332809-3.61520.000221
33-0.33998-3.69310.000168
34-0.304559-3.30840.000622
35-0.21312-2.31510.011168
36-0.177248-1.92540.028293
37-0.272759-2.96290.001843
38-0.383759-4.16872.9e-05
39-0.436196-4.73833e-06
40-0.442871-4.81082e-06
41-0.434964-4.72493e-06
42-0.431852-4.69114e-06
43-0.442957-4.81172e-06
44-0.459776-4.99441e-06
45-0.449899-4.88712e-06
46-0.400023-4.34541.5e-05
47-0.305557-3.31920.000601
48-0.25837-2.80660.002929
49-0.321913-3.49690.000332
50-0.396438-4.30641.7e-05
51-0.421942-4.58356e-06
52-0.410204-4.4561e-05
53-0.387279-4.20692.5e-05
54-0.367545-3.99265.7e-05
55-0.363068-3.94396.8e-05
56-0.365638-3.97186.2e-05
57-0.347339-3.77310.000127
58-0.294666-3.20090.00088
59-0.20411-2.21720.014263
60-0.153024-1.66230.049557

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.891364 & 9.6827 & 0 \tabularnewline
2 & 0.73545 & 7.989 & 0 \tabularnewline
3 & 0.648369 & 7.0431 & 0 \tabularnewline
4 & 0.622336 & 6.7603 & 0 \tabularnewline
5 & 0.618279 & 6.7162 & 0 \tabularnewline
6 & 0.600403 & 6.522 & 0 \tabularnewline
7 & 0.564159 & 6.1283 & 0 \tabularnewline
8 & 0.511856 & 5.5602 & 0 \tabularnewline
9 & 0.493405 & 5.3598 & 0 \tabularnewline
10 & 0.528824 & 5.7445 & 0 \tabularnewline
11 & 0.626608 & 6.8067 & 0 \tabularnewline
12 & 0.667343 & 7.2492 & 0 \tabularnewline
13 & 0.536163 & 5.8242 & 0 \tabularnewline
14 & 0.367387 & 3.9908 & 5.7e-05 \tabularnewline
15 & 0.263258 & 2.8597 & 0.002508 \tabularnewline
16 & 0.214036 & 2.325 & 0.01089 \tabularnewline
17 & 0.186132 & 2.0219 & 0.022724 \tabularnewline
18 & 0.152394 & 1.6554 & 0.050248 \tabularnewline
19 & 0.102093 & 1.109 & 0.134839 \tabularnewline
20 & 0.040836 & 0.4436 & 0.329076 \tabularnewline
21 & 0.013874 & 0.1507 & 0.440229 \tabularnewline
22 & 0.036864 & 0.4004 & 0.344777 \tabularnewline
23 & 0.11516 & 1.251 & 0.106713 \tabularnewline
24 & 0.14115 & 1.5333 & 0.063941 \tabularnewline
25 & 0.022736 & 0.247 & 0.402679 \tabularnewline
26 & -0.118202 & -1.284 & 0.100829 \tabularnewline
27 & -0.20168 & -2.1908 & 0.015216 \tabularnewline
28 & -0.235893 & -2.5625 & 0.005826 \tabularnewline
29 & -0.249185 & -2.7068 & 0.0039 \tabularnewline
30 & -0.267075 & -2.9012 & 0.002218 \tabularnewline
31 & -0.295426 & -3.2091 & 0.000857 \tabularnewline
32 & -0.332809 & -3.6152 & 0.000221 \tabularnewline
33 & -0.33998 & -3.6931 & 0.000168 \tabularnewline
34 & -0.304559 & -3.3084 & 0.000622 \tabularnewline
35 & -0.21312 & -2.3151 & 0.011168 \tabularnewline
36 & -0.177248 & -1.9254 & 0.028293 \tabularnewline
37 & -0.272759 & -2.9629 & 0.001843 \tabularnewline
38 & -0.383759 & -4.1687 & 2.9e-05 \tabularnewline
39 & -0.436196 & -4.7383 & 3e-06 \tabularnewline
40 & -0.442871 & -4.8108 & 2e-06 \tabularnewline
41 & -0.434964 & -4.7249 & 3e-06 \tabularnewline
42 & -0.431852 & -4.6911 & 4e-06 \tabularnewline
43 & -0.442957 & -4.8117 & 2e-06 \tabularnewline
44 & -0.459776 & -4.9944 & 1e-06 \tabularnewline
45 & -0.449899 & -4.8871 & 2e-06 \tabularnewline
46 & -0.400023 & -4.3454 & 1.5e-05 \tabularnewline
47 & -0.305557 & -3.3192 & 0.000601 \tabularnewline
48 & -0.25837 & -2.8066 & 0.002929 \tabularnewline
49 & -0.321913 & -3.4969 & 0.000332 \tabularnewline
50 & -0.396438 & -4.3064 & 1.7e-05 \tabularnewline
51 & -0.421942 & -4.5835 & 6e-06 \tabularnewline
52 & -0.410204 & -4.456 & 1e-05 \tabularnewline
53 & -0.387279 & -4.2069 & 2.5e-05 \tabularnewline
54 & -0.367545 & -3.9926 & 5.7e-05 \tabularnewline
55 & -0.363068 & -3.9439 & 6.8e-05 \tabularnewline
56 & -0.365638 & -3.9718 & 6.2e-05 \tabularnewline
57 & -0.347339 & -3.7731 & 0.000127 \tabularnewline
58 & -0.294666 & -3.2009 & 0.00088 \tabularnewline
59 & -0.20411 & -2.2172 & 0.014263 \tabularnewline
60 & -0.153024 & -1.6623 & 0.049557 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28796&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]0.891364[/C][C]9.6827[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.73545[/C][C]7.989[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.648369[/C][C]7.0431[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.622336[/C][C]6.7603[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.618279[/C][C]6.7162[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.600403[/C][C]6.522[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.564159[/C][C]6.1283[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.511856[/C][C]5.5602[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.493405[/C][C]5.3598[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.528824[/C][C]5.7445[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.626608[/C][C]6.8067[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.667343[/C][C]7.2492[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.536163[/C][C]5.8242[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.367387[/C][C]3.9908[/C][C]5.7e-05[/C][/ROW]
[ROW][C]15[/C][C]0.263258[/C][C]2.8597[/C][C]0.002508[/C][/ROW]
[ROW][C]16[/C][C]0.214036[/C][C]2.325[/C][C]0.01089[/C][/ROW]
[ROW][C]17[/C][C]0.186132[/C][C]2.0219[/C][C]0.022724[/C][/ROW]
[ROW][C]18[/C][C]0.152394[/C][C]1.6554[/C][C]0.050248[/C][/ROW]
[ROW][C]19[/C][C]0.102093[/C][C]1.109[/C][C]0.134839[/C][/ROW]
[ROW][C]20[/C][C]0.040836[/C][C]0.4436[/C][C]0.329076[/C][/ROW]
[ROW][C]21[/C][C]0.013874[/C][C]0.1507[/C][C]0.440229[/C][/ROW]
[ROW][C]22[/C][C]0.036864[/C][C]0.4004[/C][C]0.344777[/C][/ROW]
[ROW][C]23[/C][C]0.11516[/C][C]1.251[/C][C]0.106713[/C][/ROW]
[ROW][C]24[/C][C]0.14115[/C][C]1.5333[/C][C]0.063941[/C][/ROW]
[ROW][C]25[/C][C]0.022736[/C][C]0.247[/C][C]0.402679[/C][/ROW]
[ROW][C]26[/C][C]-0.118202[/C][C]-1.284[/C][C]0.100829[/C][/ROW]
[ROW][C]27[/C][C]-0.20168[/C][C]-2.1908[/C][C]0.015216[/C][/ROW]
[ROW][C]28[/C][C]-0.235893[/C][C]-2.5625[/C][C]0.005826[/C][/ROW]
[ROW][C]29[/C][C]-0.249185[/C][C]-2.7068[/C][C]0.0039[/C][/ROW]
[ROW][C]30[/C][C]-0.267075[/C][C]-2.9012[/C][C]0.002218[/C][/ROW]
[ROW][C]31[/C][C]-0.295426[/C][C]-3.2091[/C][C]0.000857[/C][/ROW]
[ROW][C]32[/C][C]-0.332809[/C][C]-3.6152[/C][C]0.000221[/C][/ROW]
[ROW][C]33[/C][C]-0.33998[/C][C]-3.6931[/C][C]0.000168[/C][/ROW]
[ROW][C]34[/C][C]-0.304559[/C][C]-3.3084[/C][C]0.000622[/C][/ROW]
[ROW][C]35[/C][C]-0.21312[/C][C]-2.3151[/C][C]0.011168[/C][/ROW]
[ROW][C]36[/C][C]-0.177248[/C][C]-1.9254[/C][C]0.028293[/C][/ROW]
[ROW][C]37[/C][C]-0.272759[/C][C]-2.9629[/C][C]0.001843[/C][/ROW]
[ROW][C]38[/C][C]-0.383759[/C][C]-4.1687[/C][C]2.9e-05[/C][/ROW]
[ROW][C]39[/C][C]-0.436196[/C][C]-4.7383[/C][C]3e-06[/C][/ROW]
[ROW][C]40[/C][C]-0.442871[/C][C]-4.8108[/C][C]2e-06[/C][/ROW]
[ROW][C]41[/C][C]-0.434964[/C][C]-4.7249[/C][C]3e-06[/C][/ROW]
[ROW][C]42[/C][C]-0.431852[/C][C]-4.6911[/C][C]4e-06[/C][/ROW]
[ROW][C]43[/C][C]-0.442957[/C][C]-4.8117[/C][C]2e-06[/C][/ROW]
[ROW][C]44[/C][C]-0.459776[/C][C]-4.9944[/C][C]1e-06[/C][/ROW]
[ROW][C]45[/C][C]-0.449899[/C][C]-4.8871[/C][C]2e-06[/C][/ROW]
[ROW][C]46[/C][C]-0.400023[/C][C]-4.3454[/C][C]1.5e-05[/C][/ROW]
[ROW][C]47[/C][C]-0.305557[/C][C]-3.3192[/C][C]0.000601[/C][/ROW]
[ROW][C]48[/C][C]-0.25837[/C][C]-2.8066[/C][C]0.002929[/C][/ROW]
[ROW][C]49[/C][C]-0.321913[/C][C]-3.4969[/C][C]0.000332[/C][/ROW]
[ROW][C]50[/C][C]-0.396438[/C][C]-4.3064[/C][C]1.7e-05[/C][/ROW]
[ROW][C]51[/C][C]-0.421942[/C][C]-4.5835[/C][C]6e-06[/C][/ROW]
[ROW][C]52[/C][C]-0.410204[/C][C]-4.456[/C][C]1e-05[/C][/ROW]
[ROW][C]53[/C][C]-0.387279[/C][C]-4.2069[/C][C]2.5e-05[/C][/ROW]
[ROW][C]54[/C][C]-0.367545[/C][C]-3.9926[/C][C]5.7e-05[/C][/ROW]
[ROW][C]55[/C][C]-0.363068[/C][C]-3.9439[/C][C]6.8e-05[/C][/ROW]
[ROW][C]56[/C][C]-0.365638[/C][C]-3.9718[/C][C]6.2e-05[/C][/ROW]
[ROW][C]57[/C][C]-0.347339[/C][C]-3.7731[/C][C]0.000127[/C][/ROW]
[ROW][C]58[/C][C]-0.294666[/C][C]-3.2009[/C][C]0.00088[/C][/ROW]
[ROW][C]59[/C][C]-0.20411[/C][C]-2.2172[/C][C]0.014263[/C][/ROW]
[ROW][C]60[/C][C]-0.153024[/C][C]-1.6623[/C][C]0.049557[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28796&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28796&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
10.8913649.68270
20.735457.9890
30.6483697.04310
40.6223366.76030
50.6182796.71620
60.6004036.5220
70.5641596.12830
80.5118565.56020
90.4934055.35980
100.5288245.74450
110.6266086.80670
120.6673437.24920
130.5361635.82420
140.3673873.99085.7e-05
150.2632582.85970.002508
160.2140362.3250.01089
170.1861322.02190.022724
180.1523941.65540.050248
190.1020931.1090.134839
200.0408360.44360.329076
210.0138740.15070.440229
220.0368640.40040.344777
230.115161.2510.106713
240.141151.53330.063941
250.0227360.2470.402679
26-0.118202-1.2840.100829
27-0.20168-2.19080.015216
28-0.235893-2.56250.005826
29-0.249185-2.70680.0039
30-0.267075-2.90120.002218
31-0.295426-3.20910.000857
32-0.332809-3.61520.000221
33-0.33998-3.69310.000168
34-0.304559-3.30840.000622
35-0.21312-2.31510.011168
36-0.177248-1.92540.028293
37-0.272759-2.96290.001843
38-0.383759-4.16872.9e-05
39-0.436196-4.73833e-06
40-0.442871-4.81082e-06
41-0.434964-4.72493e-06
42-0.431852-4.69114e-06
43-0.442957-4.81172e-06
44-0.459776-4.99441e-06
45-0.449899-4.88712e-06
46-0.400023-4.34541.5e-05
47-0.305557-3.31920.000601
48-0.25837-2.80660.002929
49-0.321913-3.49690.000332
50-0.396438-4.30641.7e-05
51-0.421942-4.58356e-06
52-0.410204-4.4561e-05
53-0.387279-4.20692.5e-05
54-0.367545-3.99265.7e-05
55-0.363068-3.94396.8e-05
56-0.365638-3.97186.2e-05
57-0.347339-3.77310.000127
58-0.294666-3.20090.00088
59-0.20411-2.21720.014263
60-0.153024-1.66230.049557







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8913649.68270
2-0.287537-3.12340.001125
30.3216183.49370.000336
40.0859140.93330.176295
50.1079431.17260.121666
6-0.000838-0.00910.496377
70.0178810.19420.42316
8-0.067158-0.72950.233565
90.1993042.1650.016201
100.1528041.65990.049797
110.4092964.44611e-05
12-0.291141-3.16260.000994
13-0.650458-7.06580
14-0.050743-0.55120.291267
15-0.119836-1.30180.097768
16-0.160035-1.73840.042373
170.069740.75760.22511
18-0.033162-0.36020.35966
190.0556390.60440.27337
200.0073320.07960.468327
21-0.032296-0.35080.363171
22-0.042345-0.460.323185
230.0379950.41270.340277
240.02150.23360.407869
25-0.079771-0.86650.193979
260.107281.16540.123113
27-0.047005-0.51060.305289
28-0.007556-0.08210.46736
290.0442040.48020.315996
30-0.107129-1.16370.123444
310.1051541.14230.127829
32-0.046467-0.50480.307335
33-0.051185-0.5560.289627
340.0073150.07950.4684
350.0807510.87720.191086
36-0.123976-1.34670.090324
37-0.111084-1.20670.114985
38-0.042549-0.46220.322395
390.0337970.36710.35709
40-0.036299-0.39430.347033
410.0166490.18090.428397
42-0.074456-0.80880.210129
43-0.015753-0.17110.432212
44-0.043786-0.47560.317605
45-0.024962-0.27120.393371
46-0.025312-0.2750.391914
47-0.077926-0.84650.199496
480.1620731.76060.040452
490.0890210.9670.167757
50-0.018254-0.19830.42158
51-0.005373-0.05840.476778
52-0.064117-0.69650.243746
53-0.036278-0.39410.347118
540.0139230.15120.440022
55-0.036341-0.39480.346867
560.0141160.15330.439197
57-0.053111-0.57690.282542
58-0.001151-0.01250.495023
59-0.063275-0.68730.246606
600.0238140.25870.398164

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.891364 & 9.6827 & 0 \tabularnewline
2 & -0.287537 & -3.1234 & 0.001125 \tabularnewline
3 & 0.321618 & 3.4937 & 0.000336 \tabularnewline
4 & 0.085914 & 0.9333 & 0.176295 \tabularnewline
5 & 0.107943 & 1.1726 & 0.121666 \tabularnewline
6 & -0.000838 & -0.0091 & 0.496377 \tabularnewline
7 & 0.017881 & 0.1942 & 0.42316 \tabularnewline
8 & -0.067158 & -0.7295 & 0.233565 \tabularnewline
9 & 0.199304 & 2.165 & 0.016201 \tabularnewline
10 & 0.152804 & 1.6599 & 0.049797 \tabularnewline
11 & 0.409296 & 4.4461 & 1e-05 \tabularnewline
12 & -0.291141 & -3.1626 & 0.000994 \tabularnewline
13 & -0.650458 & -7.0658 & 0 \tabularnewline
14 & -0.050743 & -0.5512 & 0.291267 \tabularnewline
15 & -0.119836 & -1.3018 & 0.097768 \tabularnewline
16 & -0.160035 & -1.7384 & 0.042373 \tabularnewline
17 & 0.06974 & 0.7576 & 0.22511 \tabularnewline
18 & -0.033162 & -0.3602 & 0.35966 \tabularnewline
19 & 0.055639 & 0.6044 & 0.27337 \tabularnewline
20 & 0.007332 & 0.0796 & 0.468327 \tabularnewline
21 & -0.032296 & -0.3508 & 0.363171 \tabularnewline
22 & -0.042345 & -0.46 & 0.323185 \tabularnewline
23 & 0.037995 & 0.4127 & 0.340277 \tabularnewline
24 & 0.0215 & 0.2336 & 0.407869 \tabularnewline
25 & -0.079771 & -0.8665 & 0.193979 \tabularnewline
26 & 0.10728 & 1.1654 & 0.123113 \tabularnewline
27 & -0.047005 & -0.5106 & 0.305289 \tabularnewline
28 & -0.007556 & -0.0821 & 0.46736 \tabularnewline
29 & 0.044204 & 0.4802 & 0.315996 \tabularnewline
30 & -0.107129 & -1.1637 & 0.123444 \tabularnewline
31 & 0.105154 & 1.1423 & 0.127829 \tabularnewline
32 & -0.046467 & -0.5048 & 0.307335 \tabularnewline
33 & -0.051185 & -0.556 & 0.289627 \tabularnewline
34 & 0.007315 & 0.0795 & 0.4684 \tabularnewline
35 & 0.080751 & 0.8772 & 0.191086 \tabularnewline
36 & -0.123976 & -1.3467 & 0.090324 \tabularnewline
37 & -0.111084 & -1.2067 & 0.114985 \tabularnewline
38 & -0.042549 & -0.4622 & 0.322395 \tabularnewline
39 & 0.033797 & 0.3671 & 0.35709 \tabularnewline
40 & -0.036299 & -0.3943 & 0.347033 \tabularnewline
41 & 0.016649 & 0.1809 & 0.428397 \tabularnewline
42 & -0.074456 & -0.8088 & 0.210129 \tabularnewline
43 & -0.015753 & -0.1711 & 0.432212 \tabularnewline
44 & -0.043786 & -0.4756 & 0.317605 \tabularnewline
45 & -0.024962 & -0.2712 & 0.393371 \tabularnewline
46 & -0.025312 & -0.275 & 0.391914 \tabularnewline
47 & -0.077926 & -0.8465 & 0.199496 \tabularnewline
48 & 0.162073 & 1.7606 & 0.040452 \tabularnewline
49 & 0.089021 & 0.967 & 0.167757 \tabularnewline
50 & -0.018254 & -0.1983 & 0.42158 \tabularnewline
51 & -0.005373 & -0.0584 & 0.476778 \tabularnewline
52 & -0.064117 & -0.6965 & 0.243746 \tabularnewline
53 & -0.036278 & -0.3941 & 0.347118 \tabularnewline
54 & 0.013923 & 0.1512 & 0.440022 \tabularnewline
55 & -0.036341 & -0.3948 & 0.346867 \tabularnewline
56 & 0.014116 & 0.1533 & 0.439197 \tabularnewline
57 & -0.053111 & -0.5769 & 0.282542 \tabularnewline
58 & -0.001151 & -0.0125 & 0.495023 \tabularnewline
59 & -0.063275 & -0.6873 & 0.246606 \tabularnewline
60 & 0.023814 & 0.2587 & 0.398164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28796&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]0.891364[/C][C]9.6827[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.287537[/C][C]-3.1234[/C][C]0.001125[/C][/ROW]
[ROW][C]3[/C][C]0.321618[/C][C]3.4937[/C][C]0.000336[/C][/ROW]
[ROW][C]4[/C][C]0.085914[/C][C]0.9333[/C][C]0.176295[/C][/ROW]
[ROW][C]5[/C][C]0.107943[/C][C]1.1726[/C][C]0.121666[/C][/ROW]
[ROW][C]6[/C][C]-0.000838[/C][C]-0.0091[/C][C]0.496377[/C][/ROW]
[ROW][C]7[/C][C]0.017881[/C][C]0.1942[/C][C]0.42316[/C][/ROW]
[ROW][C]8[/C][C]-0.067158[/C][C]-0.7295[/C][C]0.233565[/C][/ROW]
[ROW][C]9[/C][C]0.199304[/C][C]2.165[/C][C]0.016201[/C][/ROW]
[ROW][C]10[/C][C]0.152804[/C][C]1.6599[/C][C]0.049797[/C][/ROW]
[ROW][C]11[/C][C]0.409296[/C][C]4.4461[/C][C]1e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.291141[/C][C]-3.1626[/C][C]0.000994[/C][/ROW]
[ROW][C]13[/C][C]-0.650458[/C][C]-7.0658[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]-0.050743[/C][C]-0.5512[/C][C]0.291267[/C][/ROW]
[ROW][C]15[/C][C]-0.119836[/C][C]-1.3018[/C][C]0.097768[/C][/ROW]
[ROW][C]16[/C][C]-0.160035[/C][C]-1.7384[/C][C]0.042373[/C][/ROW]
[ROW][C]17[/C][C]0.06974[/C][C]0.7576[/C][C]0.22511[/C][/ROW]
[ROW][C]18[/C][C]-0.033162[/C][C]-0.3602[/C][C]0.35966[/C][/ROW]
[ROW][C]19[/C][C]0.055639[/C][C]0.6044[/C][C]0.27337[/C][/ROW]
[ROW][C]20[/C][C]0.007332[/C][C]0.0796[/C][C]0.468327[/C][/ROW]
[ROW][C]21[/C][C]-0.032296[/C][C]-0.3508[/C][C]0.363171[/C][/ROW]
[ROW][C]22[/C][C]-0.042345[/C][C]-0.46[/C][C]0.323185[/C][/ROW]
[ROW][C]23[/C][C]0.037995[/C][C]0.4127[/C][C]0.340277[/C][/ROW]
[ROW][C]24[/C][C]0.0215[/C][C]0.2336[/C][C]0.407869[/C][/ROW]
[ROW][C]25[/C][C]-0.079771[/C][C]-0.8665[/C][C]0.193979[/C][/ROW]
[ROW][C]26[/C][C]0.10728[/C][C]1.1654[/C][C]0.123113[/C][/ROW]
[ROW][C]27[/C][C]-0.047005[/C][C]-0.5106[/C][C]0.305289[/C][/ROW]
[ROW][C]28[/C][C]-0.007556[/C][C]-0.0821[/C][C]0.46736[/C][/ROW]
[ROW][C]29[/C][C]0.044204[/C][C]0.4802[/C][C]0.315996[/C][/ROW]
[ROW][C]30[/C][C]-0.107129[/C][C]-1.1637[/C][C]0.123444[/C][/ROW]
[ROW][C]31[/C][C]0.105154[/C][C]1.1423[/C][C]0.127829[/C][/ROW]
[ROW][C]32[/C][C]-0.046467[/C][C]-0.5048[/C][C]0.307335[/C][/ROW]
[ROW][C]33[/C][C]-0.051185[/C][C]-0.556[/C][C]0.289627[/C][/ROW]
[ROW][C]34[/C][C]0.007315[/C][C]0.0795[/C][C]0.4684[/C][/ROW]
[ROW][C]35[/C][C]0.080751[/C][C]0.8772[/C][C]0.191086[/C][/ROW]
[ROW][C]36[/C][C]-0.123976[/C][C]-1.3467[/C][C]0.090324[/C][/ROW]
[ROW][C]37[/C][C]-0.111084[/C][C]-1.2067[/C][C]0.114985[/C][/ROW]
[ROW][C]38[/C][C]-0.042549[/C][C]-0.4622[/C][C]0.322395[/C][/ROW]
[ROW][C]39[/C][C]0.033797[/C][C]0.3671[/C][C]0.35709[/C][/ROW]
[ROW][C]40[/C][C]-0.036299[/C][C]-0.3943[/C][C]0.347033[/C][/ROW]
[ROW][C]41[/C][C]0.016649[/C][C]0.1809[/C][C]0.428397[/C][/ROW]
[ROW][C]42[/C][C]-0.074456[/C][C]-0.8088[/C][C]0.210129[/C][/ROW]
[ROW][C]43[/C][C]-0.015753[/C][C]-0.1711[/C][C]0.432212[/C][/ROW]
[ROW][C]44[/C][C]-0.043786[/C][C]-0.4756[/C][C]0.317605[/C][/ROW]
[ROW][C]45[/C][C]-0.024962[/C][C]-0.2712[/C][C]0.393371[/C][/ROW]
[ROW][C]46[/C][C]-0.025312[/C][C]-0.275[/C][C]0.391914[/C][/ROW]
[ROW][C]47[/C][C]-0.077926[/C][C]-0.8465[/C][C]0.199496[/C][/ROW]
[ROW][C]48[/C][C]0.162073[/C][C]1.7606[/C][C]0.040452[/C][/ROW]
[ROW][C]49[/C][C]0.089021[/C][C]0.967[/C][C]0.167757[/C][/ROW]
[ROW][C]50[/C][C]-0.018254[/C][C]-0.1983[/C][C]0.42158[/C][/ROW]
[ROW][C]51[/C][C]-0.005373[/C][C]-0.0584[/C][C]0.476778[/C][/ROW]
[ROW][C]52[/C][C]-0.064117[/C][C]-0.6965[/C][C]0.243746[/C][/ROW]
[ROW][C]53[/C][C]-0.036278[/C][C]-0.3941[/C][C]0.347118[/C][/ROW]
[ROW][C]54[/C][C]0.013923[/C][C]0.1512[/C][C]0.440022[/C][/ROW]
[ROW][C]55[/C][C]-0.036341[/C][C]-0.3948[/C][C]0.346867[/C][/ROW]
[ROW][C]56[/C][C]0.014116[/C][C]0.1533[/C][C]0.439197[/C][/ROW]
[ROW][C]57[/C][C]-0.053111[/C][C]-0.5769[/C][C]0.282542[/C][/ROW]
[ROW][C]58[/C][C]-0.001151[/C][C]-0.0125[/C][C]0.495023[/C][/ROW]
[ROW][C]59[/C][C]-0.063275[/C][C]-0.6873[/C][C]0.246606[/C][/ROW]
[ROW][C]60[/C][C]0.023814[/C][C]0.2587[/C][C]0.398164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28796&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28796&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
10.8913649.68270
2-0.287537-3.12340.001125
30.3216183.49370.000336
40.0859140.93330.176295
50.1079431.17260.121666
6-0.000838-0.00910.496377
70.0178810.19420.42316
8-0.067158-0.72950.233565
90.1993042.1650.016201
100.1528041.65990.049797
110.4092964.44611e-05
12-0.291141-3.16260.000994
13-0.650458-7.06580
14-0.050743-0.55120.291267
15-0.119836-1.30180.097768
16-0.160035-1.73840.042373
170.069740.75760.22511
18-0.033162-0.36020.35966
190.0556390.60440.27337
200.0073320.07960.468327
21-0.032296-0.35080.363171
22-0.042345-0.460.323185
230.0379950.41270.340277
240.02150.23360.407869
25-0.079771-0.86650.193979
260.107281.16540.123113
27-0.047005-0.51060.305289
28-0.007556-0.08210.46736
290.0442040.48020.315996
30-0.107129-1.16370.123444
310.1051541.14230.127829
32-0.046467-0.50480.307335
33-0.051185-0.5560.289627
340.0073150.07950.4684
350.0807510.87720.191086
36-0.123976-1.34670.090324
37-0.111084-1.20670.114985
38-0.042549-0.46220.322395
390.0337970.36710.35709
40-0.036299-0.39430.347033
410.0166490.18090.428397
42-0.074456-0.80880.210129
43-0.015753-0.17110.432212
44-0.043786-0.47560.317605
45-0.024962-0.27120.393371
46-0.025312-0.2750.391914
47-0.077926-0.84650.199496
480.1620731.76060.040452
490.0890210.9670.167757
50-0.018254-0.19830.42158
51-0.005373-0.05840.476778
52-0.064117-0.69650.243746
53-0.036278-0.39410.347118
540.0139230.15120.440022
55-0.036341-0.39480.346867
560.0141160.15330.439197
57-0.053111-0.57690.282542
58-0.001151-0.01250.495023
59-0.063275-0.68730.246606
600.0238140.25870.398164



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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')