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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 computationThu, 18 Dec 2008 08:08:48 -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/18/t12296129784lclvqz0jhos4t9.htm/, Retrieved Sun, 12 May 2024 01:26:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34824, Retrieved Sun, 12 May 2024 01:26:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 14:56:15] [87cabf13a90315c7085b765dcebb7412]
-   P   [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:06:01] [87cabf13a90315c7085b765dcebb7412]
-   PD    [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-11 15:23:01] [87cabf13a90315c7085b765dcebb7412]
-   P       [(Partial) Autocorrelation Function] [(Partial) Autocor...] [2008-12-12 09:41:51] [87cabf13a90315c7085b765dcebb7412]
-   PD          [(Partial) Autocorrelation Function] [autocorrelation 2...] [2008-12-18 15:08:48] [4e8974eee929007194de34cbeefcb780] [Current]
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Dataseries X:
40628
40167
43375
45610
46255
44375
35461
38096
40813
41582
44461
46390
45744
47990
51847
56641
55016
53119
44471
45200
46256
46922
48965
49447
51702
52837
56273
59070
57871
54862
44357
45264
47111
49050
50518
51824
53495
54623
58088
61321
60205
56527
45623
46127
48141
50648
52441
53661
54156
54245
58182
60436
59412
55903
43648
43555
45483
46956
49087
50433
50505
50890
53703
55276
53959
49732
37776
38437
40187
41626
42682
43647
43625
44352
49669
50986
48869
43127
33629
34948
36346
37607
38948
40274
40044
41139
45041
47433
48126
41639
33538
34742
37152
38399
41374
43363
44071
45080
48487
52140
52780
46700
38202
39915
42199
44356
46188
47883
48149
48201
51438
55796
55989
48794
39252
41414
43856
46086
48284
50101




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34824&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34824&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34824&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8300399.09260
20.5443795.96340
30.3024293.31290.00061
40.1771861.9410.027303
50.1537331.68410.047385
60.1504831.64850.050937
70.1297931.42180.078838
80.1250131.36950.086708
90.2121522.3240.010904
100.3992524.37361.3e-05
110.6231926.82670
120.7374638.07850
130.5647746.18680
140.2941593.22240.000819
150.0600490.65780.255963
16-0.060993-0.66810.252662
17-0.088506-0.96950.167115
18-0.094176-1.03160.152158
19-0.111626-1.22280.111899
20-0.113977-1.24860.107129
21-0.034833-0.38160.351726
220.1274721.39640.082588
230.3216363.52330.000302
240.4138644.53377e-06
250.2559542.80380.002946
260.0142650.15630.438044
27-0.193146-2.11580.018214
28-0.296363-3.24650.000757
29-0.310929-3.40610.000449
30-0.305698-3.34880.000543
31-0.318013-3.48370.000346
32-0.320552-3.51150.000314
33-0.250033-2.7390.003552
34-0.103074-1.12910.13055
350.074490.8160.208059
360.1598211.75070.041273
370.0277160.30360.380974
38-0.173-1.89510.030241
39-0.344335-3.7720.000126
40-0.419837-4.59915e-06
41-0.415966-4.55676e-06
42-0.393117-4.30641.7e-05
43-0.391177-4.28511.9e-05
44-0.383466-4.20072.6e-05
45-0.311379-3.4110.000441
46-0.172798-1.89290.030389
47-0.006241-0.06840.472805
480.0752190.8240.205791
49-0.028186-0.30880.379017
50-0.182654-2.00090.023831
51-0.306307-3.35540.000531
52-0.350398-3.83841e-04
53-0.331973-3.63660.000204
54-0.297704-3.26120.000722
55-0.28859-3.16130.000994
56-0.27322-2.9930.001677
57-0.205028-2.2460.013268
58-0.083453-0.91420.181227
590.0611770.67020.252023
600.1298561.42250.078737

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.830039 & 9.0926 & 0 \tabularnewline
2 & 0.544379 & 5.9634 & 0 \tabularnewline
3 & 0.302429 & 3.3129 & 0.00061 \tabularnewline
4 & 0.177186 & 1.941 & 0.027303 \tabularnewline
5 & 0.153733 & 1.6841 & 0.047385 \tabularnewline
6 & 0.150483 & 1.6485 & 0.050937 \tabularnewline
7 & 0.129793 & 1.4218 & 0.078838 \tabularnewline
8 & 0.125013 & 1.3695 & 0.086708 \tabularnewline
9 & 0.212152 & 2.324 & 0.010904 \tabularnewline
10 & 0.399252 & 4.3736 & 1.3e-05 \tabularnewline
11 & 0.623192 & 6.8267 & 0 \tabularnewline
12 & 0.737463 & 8.0785 & 0 \tabularnewline
13 & 0.564774 & 6.1868 & 0 \tabularnewline
14 & 0.294159 & 3.2224 & 0.000819 \tabularnewline
15 & 0.060049 & 0.6578 & 0.255963 \tabularnewline
16 & -0.060993 & -0.6681 & 0.252662 \tabularnewline
17 & -0.088506 & -0.9695 & 0.167115 \tabularnewline
18 & -0.094176 & -1.0316 & 0.152158 \tabularnewline
19 & -0.111626 & -1.2228 & 0.111899 \tabularnewline
20 & -0.113977 & -1.2486 & 0.107129 \tabularnewline
21 & -0.034833 & -0.3816 & 0.351726 \tabularnewline
22 & 0.127472 & 1.3964 & 0.082588 \tabularnewline
23 & 0.321636 & 3.5233 & 0.000302 \tabularnewline
24 & 0.413864 & 4.5337 & 7e-06 \tabularnewline
25 & 0.255954 & 2.8038 & 0.002946 \tabularnewline
26 & 0.014265 & 0.1563 & 0.438044 \tabularnewline
27 & -0.193146 & -2.1158 & 0.018214 \tabularnewline
28 & -0.296363 & -3.2465 & 0.000757 \tabularnewline
29 & -0.310929 & -3.4061 & 0.000449 \tabularnewline
30 & -0.305698 & -3.3488 & 0.000543 \tabularnewline
31 & -0.318013 & -3.4837 & 0.000346 \tabularnewline
32 & -0.320552 & -3.5115 & 0.000314 \tabularnewline
33 & -0.250033 & -2.739 & 0.003552 \tabularnewline
34 & -0.103074 & -1.1291 & 0.13055 \tabularnewline
35 & 0.07449 & 0.816 & 0.208059 \tabularnewline
36 & 0.159821 & 1.7507 & 0.041273 \tabularnewline
37 & 0.027716 & 0.3036 & 0.380974 \tabularnewline
38 & -0.173 & -1.8951 & 0.030241 \tabularnewline
39 & -0.344335 & -3.772 & 0.000126 \tabularnewline
40 & -0.419837 & -4.5991 & 5e-06 \tabularnewline
41 & -0.415966 & -4.5567 & 6e-06 \tabularnewline
42 & -0.393117 & -4.3064 & 1.7e-05 \tabularnewline
43 & -0.391177 & -4.2851 & 1.9e-05 \tabularnewline
44 & -0.383466 & -4.2007 & 2.6e-05 \tabularnewline
45 & -0.311379 & -3.411 & 0.000441 \tabularnewline
46 & -0.172798 & -1.8929 & 0.030389 \tabularnewline
47 & -0.006241 & -0.0684 & 0.472805 \tabularnewline
48 & 0.075219 & 0.824 & 0.205791 \tabularnewline
49 & -0.028186 & -0.3088 & 0.379017 \tabularnewline
50 & -0.182654 & -2.0009 & 0.023831 \tabularnewline
51 & -0.306307 & -3.3554 & 0.000531 \tabularnewline
52 & -0.350398 & -3.8384 & 1e-04 \tabularnewline
53 & -0.331973 & -3.6366 & 0.000204 \tabularnewline
54 & -0.297704 & -3.2612 & 0.000722 \tabularnewline
55 & -0.28859 & -3.1613 & 0.000994 \tabularnewline
56 & -0.27322 & -2.993 & 0.001677 \tabularnewline
57 & -0.205028 & -2.246 & 0.013268 \tabularnewline
58 & -0.083453 & -0.9142 & 0.181227 \tabularnewline
59 & 0.061177 & 0.6702 & 0.252023 \tabularnewline
60 & 0.129856 & 1.4225 & 0.078737 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34824&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]0.830039[/C][C]9.0926[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.544379[/C][C]5.9634[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.302429[/C][C]3.3129[/C][C]0.00061[/C][/ROW]
[ROW][C]4[/C][C]0.177186[/C][C]1.941[/C][C]0.027303[/C][/ROW]
[ROW][C]5[/C][C]0.153733[/C][C]1.6841[/C][C]0.047385[/C][/ROW]
[ROW][C]6[/C][C]0.150483[/C][C]1.6485[/C][C]0.050937[/C][/ROW]
[ROW][C]7[/C][C]0.129793[/C][C]1.4218[/C][C]0.078838[/C][/ROW]
[ROW][C]8[/C][C]0.125013[/C][C]1.3695[/C][C]0.086708[/C][/ROW]
[ROW][C]9[/C][C]0.212152[/C][C]2.324[/C][C]0.010904[/C][/ROW]
[ROW][C]10[/C][C]0.399252[/C][C]4.3736[/C][C]1.3e-05[/C][/ROW]
[ROW][C]11[/C][C]0.623192[/C][C]6.8267[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.737463[/C][C]8.0785[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.564774[/C][C]6.1868[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.294159[/C][C]3.2224[/C][C]0.000819[/C][/ROW]
[ROW][C]15[/C][C]0.060049[/C][C]0.6578[/C][C]0.255963[/C][/ROW]
[ROW][C]16[/C][C]-0.060993[/C][C]-0.6681[/C][C]0.252662[/C][/ROW]
[ROW][C]17[/C][C]-0.088506[/C][C]-0.9695[/C][C]0.167115[/C][/ROW]
[ROW][C]18[/C][C]-0.094176[/C][C]-1.0316[/C][C]0.152158[/C][/ROW]
[ROW][C]19[/C][C]-0.111626[/C][C]-1.2228[/C][C]0.111899[/C][/ROW]
[ROW][C]20[/C][C]-0.113977[/C][C]-1.2486[/C][C]0.107129[/C][/ROW]
[ROW][C]21[/C][C]-0.034833[/C][C]-0.3816[/C][C]0.351726[/C][/ROW]
[ROW][C]22[/C][C]0.127472[/C][C]1.3964[/C][C]0.082588[/C][/ROW]
[ROW][C]23[/C][C]0.321636[/C][C]3.5233[/C][C]0.000302[/C][/ROW]
[ROW][C]24[/C][C]0.413864[/C][C]4.5337[/C][C]7e-06[/C][/ROW]
[ROW][C]25[/C][C]0.255954[/C][C]2.8038[/C][C]0.002946[/C][/ROW]
[ROW][C]26[/C][C]0.014265[/C][C]0.1563[/C][C]0.438044[/C][/ROW]
[ROW][C]27[/C][C]-0.193146[/C][C]-2.1158[/C][C]0.018214[/C][/ROW]
[ROW][C]28[/C][C]-0.296363[/C][C]-3.2465[/C][C]0.000757[/C][/ROW]
[ROW][C]29[/C][C]-0.310929[/C][C]-3.4061[/C][C]0.000449[/C][/ROW]
[ROW][C]30[/C][C]-0.305698[/C][C]-3.3488[/C][C]0.000543[/C][/ROW]
[ROW][C]31[/C][C]-0.318013[/C][C]-3.4837[/C][C]0.000346[/C][/ROW]
[ROW][C]32[/C][C]-0.320552[/C][C]-3.5115[/C][C]0.000314[/C][/ROW]
[ROW][C]33[/C][C]-0.250033[/C][C]-2.739[/C][C]0.003552[/C][/ROW]
[ROW][C]34[/C][C]-0.103074[/C][C]-1.1291[/C][C]0.13055[/C][/ROW]
[ROW][C]35[/C][C]0.07449[/C][C]0.816[/C][C]0.208059[/C][/ROW]
[ROW][C]36[/C][C]0.159821[/C][C]1.7507[/C][C]0.041273[/C][/ROW]
[ROW][C]37[/C][C]0.027716[/C][C]0.3036[/C][C]0.380974[/C][/ROW]
[ROW][C]38[/C][C]-0.173[/C][C]-1.8951[/C][C]0.030241[/C][/ROW]
[ROW][C]39[/C][C]-0.344335[/C][C]-3.772[/C][C]0.000126[/C][/ROW]
[ROW][C]40[/C][C]-0.419837[/C][C]-4.5991[/C][C]5e-06[/C][/ROW]
[ROW][C]41[/C][C]-0.415966[/C][C]-4.5567[/C][C]6e-06[/C][/ROW]
[ROW][C]42[/C][C]-0.393117[/C][C]-4.3064[/C][C]1.7e-05[/C][/ROW]
[ROW][C]43[/C][C]-0.391177[/C][C]-4.2851[/C][C]1.9e-05[/C][/ROW]
[ROW][C]44[/C][C]-0.383466[/C][C]-4.2007[/C][C]2.6e-05[/C][/ROW]
[ROW][C]45[/C][C]-0.311379[/C][C]-3.411[/C][C]0.000441[/C][/ROW]
[ROW][C]46[/C][C]-0.172798[/C][C]-1.8929[/C][C]0.030389[/C][/ROW]
[ROW][C]47[/C][C]-0.006241[/C][C]-0.0684[/C][C]0.472805[/C][/ROW]
[ROW][C]48[/C][C]0.075219[/C][C]0.824[/C][C]0.205791[/C][/ROW]
[ROW][C]49[/C][C]-0.028186[/C][C]-0.3088[/C][C]0.379017[/C][/ROW]
[ROW][C]50[/C][C]-0.182654[/C][C]-2.0009[/C][C]0.023831[/C][/ROW]
[ROW][C]51[/C][C]-0.306307[/C][C]-3.3554[/C][C]0.000531[/C][/ROW]
[ROW][C]52[/C][C]-0.350398[/C][C]-3.8384[/C][C]1e-04[/C][/ROW]
[ROW][C]53[/C][C]-0.331973[/C][C]-3.6366[/C][C]0.000204[/C][/ROW]
[ROW][C]54[/C][C]-0.297704[/C][C]-3.2612[/C][C]0.000722[/C][/ROW]
[ROW][C]55[/C][C]-0.28859[/C][C]-3.1613[/C][C]0.000994[/C][/ROW]
[ROW][C]56[/C][C]-0.27322[/C][C]-2.993[/C][C]0.001677[/C][/ROW]
[ROW][C]57[/C][C]-0.205028[/C][C]-2.246[/C][C]0.013268[/C][/ROW]
[ROW][C]58[/C][C]-0.083453[/C][C]-0.9142[/C][C]0.181227[/C][/ROW]
[ROW][C]59[/C][C]0.061177[/C][C]0.6702[/C][C]0.252023[/C][/ROW]
[ROW][C]60[/C][C]0.129856[/C][C]1.4225[/C][C]0.078737[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34824&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34824&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
10.8300399.09260
20.5443795.96340
30.3024293.31290.00061
40.1771861.9410.027303
50.1537331.68410.047385
60.1504831.64850.050937
70.1297931.42180.078838
80.1250131.36950.086708
90.2121522.3240.010904
100.3992524.37361.3e-05
110.6231926.82670
120.7374638.07850
130.5647746.18680
140.2941593.22240.000819
150.0600490.65780.255963
16-0.060993-0.66810.252662
17-0.088506-0.96950.167115
18-0.094176-1.03160.152158
19-0.111626-1.22280.111899
20-0.113977-1.24860.107129
21-0.034833-0.38160.351726
220.1274721.39640.082588
230.3216363.52330.000302
240.4138644.53377e-06
250.2559542.80380.002946
260.0142650.15630.438044
27-0.193146-2.11580.018214
28-0.296363-3.24650.000757
29-0.310929-3.40610.000449
30-0.305698-3.34880.000543
31-0.318013-3.48370.000346
32-0.320552-3.51150.000314
33-0.250033-2.7390.003552
34-0.103074-1.12910.13055
350.074490.8160.208059
360.1598211.75070.041273
370.0277160.30360.380974
38-0.173-1.89510.030241
39-0.344335-3.7720.000126
40-0.419837-4.59915e-06
41-0.415966-4.55676e-06
42-0.393117-4.30641.7e-05
43-0.391177-4.28511.9e-05
44-0.383466-4.20072.6e-05
45-0.311379-3.4110.000441
46-0.172798-1.89290.030389
47-0.006241-0.06840.472805
480.0752190.8240.205791
49-0.028186-0.30880.379017
50-0.182654-2.00090.023831
51-0.306307-3.35540.000531
52-0.350398-3.83841e-04
53-0.331973-3.63660.000204
54-0.297704-3.26120.000722
55-0.28859-3.16130.000994
56-0.27322-2.9930.001677
57-0.205028-2.2460.013268
58-0.083453-0.91420.181227
590.0611770.67020.252023
600.1298561.42250.078737







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8300399.09260
2-0.464849-5.09221e-06
30.1081571.18480.119218
40.1208921.32430.093958
50.0604710.66240.254484
6-0.081922-0.89740.18565
70.0107250.11750.453334
80.1475441.61630.054332
90.3252663.56310.000263
100.2995443.28130.000677
110.3202733.50840.000318
120.0136950.150.440498
13-0.7052-7.72510
140.1966482.15420.016613
15-0.158182-1.73280.04285
16-0.058257-0.63820.26229
17-0.119101-1.30470.097249
18-0.000192-0.00210.499162
190.0007790.00850.496601
20-0.02749-0.30110.381915
21-0.021002-0.23010.409218
22-0.022438-0.24580.403129
230.0274170.30030.382221
24-0.009557-0.10470.458398
25-0.10336-1.13220.129894
260.0374930.41070.341008
27-0.001835-0.02010.491996
28-0.076174-0.83440.202846
290.0434660.47610.317417
30-0.07911-0.86660.193945
31-0.093516-1.02440.15385
32-0.049971-0.54740.292557
33-0.033857-0.37090.35569
340.0078570.08610.465776
35-0.051234-0.56120.287842
360.014090.15430.438798
37-0.017369-0.19030.424712
380.0571930.62650.266084
39-0.050743-0.55590.28967
400.0105150.11520.454243
41-0.032903-0.36040.359577
420.0466270.51080.305224
43-0.051084-0.55960.288397
440.0160980.17630.43016
45-0.01926-0.2110.416629
46-0.026956-0.29530.38414
47-0.004511-0.04940.480337
48-0.039293-0.43040.333825
490.0484080.53030.298447
500.0349390.38270.351296
510.0711250.77910.218716
52-0.080805-0.88520.188917
530.0173470.190.424804
540.0278250.30480.380521
55-0.027409-0.30020.382254
560.0337550.36980.356102
57-0.071094-0.77880.218818
58-0.022282-0.24410.403791
59-0.031152-0.34130.366755
600.0119010.13040.448245

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.830039 & 9.0926 & 0 \tabularnewline
2 & -0.464849 & -5.0922 & 1e-06 \tabularnewline
3 & 0.108157 & 1.1848 & 0.119218 \tabularnewline
4 & 0.120892 & 1.3243 & 0.093958 \tabularnewline
5 & 0.060471 & 0.6624 & 0.254484 \tabularnewline
6 & -0.081922 & -0.8974 & 0.18565 \tabularnewline
7 & 0.010725 & 0.1175 & 0.453334 \tabularnewline
8 & 0.147544 & 1.6163 & 0.054332 \tabularnewline
9 & 0.325266 & 3.5631 & 0.000263 \tabularnewline
10 & 0.299544 & 3.2813 & 0.000677 \tabularnewline
11 & 0.320273 & 3.5084 & 0.000318 \tabularnewline
12 & 0.013695 & 0.15 & 0.440498 \tabularnewline
13 & -0.7052 & -7.7251 & 0 \tabularnewline
14 & 0.196648 & 2.1542 & 0.016613 \tabularnewline
15 & -0.158182 & -1.7328 & 0.04285 \tabularnewline
16 & -0.058257 & -0.6382 & 0.26229 \tabularnewline
17 & -0.119101 & -1.3047 & 0.097249 \tabularnewline
18 & -0.000192 & -0.0021 & 0.499162 \tabularnewline
19 & 0.000779 & 0.0085 & 0.496601 \tabularnewline
20 & -0.02749 & -0.3011 & 0.381915 \tabularnewline
21 & -0.021002 & -0.2301 & 0.409218 \tabularnewline
22 & -0.022438 & -0.2458 & 0.403129 \tabularnewline
23 & 0.027417 & 0.3003 & 0.382221 \tabularnewline
24 & -0.009557 & -0.1047 & 0.458398 \tabularnewline
25 & -0.10336 & -1.1322 & 0.129894 \tabularnewline
26 & 0.037493 & 0.4107 & 0.341008 \tabularnewline
27 & -0.001835 & -0.0201 & 0.491996 \tabularnewline
28 & -0.076174 & -0.8344 & 0.202846 \tabularnewline
29 & 0.043466 & 0.4761 & 0.317417 \tabularnewline
30 & -0.07911 & -0.8666 & 0.193945 \tabularnewline
31 & -0.093516 & -1.0244 & 0.15385 \tabularnewline
32 & -0.049971 & -0.5474 & 0.292557 \tabularnewline
33 & -0.033857 & -0.3709 & 0.35569 \tabularnewline
34 & 0.007857 & 0.0861 & 0.465776 \tabularnewline
35 & -0.051234 & -0.5612 & 0.287842 \tabularnewline
36 & 0.01409 & 0.1543 & 0.438798 \tabularnewline
37 & -0.017369 & -0.1903 & 0.424712 \tabularnewline
38 & 0.057193 & 0.6265 & 0.266084 \tabularnewline
39 & -0.050743 & -0.5559 & 0.28967 \tabularnewline
40 & 0.010515 & 0.1152 & 0.454243 \tabularnewline
41 & -0.032903 & -0.3604 & 0.359577 \tabularnewline
42 & 0.046627 & 0.5108 & 0.305224 \tabularnewline
43 & -0.051084 & -0.5596 & 0.288397 \tabularnewline
44 & 0.016098 & 0.1763 & 0.43016 \tabularnewline
45 & -0.01926 & -0.211 & 0.416629 \tabularnewline
46 & -0.026956 & -0.2953 & 0.38414 \tabularnewline
47 & -0.004511 & -0.0494 & 0.480337 \tabularnewline
48 & -0.039293 & -0.4304 & 0.333825 \tabularnewline
49 & 0.048408 & 0.5303 & 0.298447 \tabularnewline
50 & 0.034939 & 0.3827 & 0.351296 \tabularnewline
51 & 0.071125 & 0.7791 & 0.218716 \tabularnewline
52 & -0.080805 & -0.8852 & 0.188917 \tabularnewline
53 & 0.017347 & 0.19 & 0.424804 \tabularnewline
54 & 0.027825 & 0.3048 & 0.380521 \tabularnewline
55 & -0.027409 & -0.3002 & 0.382254 \tabularnewline
56 & 0.033755 & 0.3698 & 0.356102 \tabularnewline
57 & -0.071094 & -0.7788 & 0.218818 \tabularnewline
58 & -0.022282 & -0.2441 & 0.403791 \tabularnewline
59 & -0.031152 & -0.3413 & 0.366755 \tabularnewline
60 & 0.011901 & 0.1304 & 0.448245 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34824&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]0.830039[/C][C]9.0926[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.464849[/C][C]-5.0922[/C][C]1e-06[/C][/ROW]
[ROW][C]3[/C][C]0.108157[/C][C]1.1848[/C][C]0.119218[/C][/ROW]
[ROW][C]4[/C][C]0.120892[/C][C]1.3243[/C][C]0.093958[/C][/ROW]
[ROW][C]5[/C][C]0.060471[/C][C]0.6624[/C][C]0.254484[/C][/ROW]
[ROW][C]6[/C][C]-0.081922[/C][C]-0.8974[/C][C]0.18565[/C][/ROW]
[ROW][C]7[/C][C]0.010725[/C][C]0.1175[/C][C]0.453334[/C][/ROW]
[ROW][C]8[/C][C]0.147544[/C][C]1.6163[/C][C]0.054332[/C][/ROW]
[ROW][C]9[/C][C]0.325266[/C][C]3.5631[/C][C]0.000263[/C][/ROW]
[ROW][C]10[/C][C]0.299544[/C][C]3.2813[/C][C]0.000677[/C][/ROW]
[ROW][C]11[/C][C]0.320273[/C][C]3.5084[/C][C]0.000318[/C][/ROW]
[ROW][C]12[/C][C]0.013695[/C][C]0.15[/C][C]0.440498[/C][/ROW]
[ROW][C]13[/C][C]-0.7052[/C][C]-7.7251[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.196648[/C][C]2.1542[/C][C]0.016613[/C][/ROW]
[ROW][C]15[/C][C]-0.158182[/C][C]-1.7328[/C][C]0.04285[/C][/ROW]
[ROW][C]16[/C][C]-0.058257[/C][C]-0.6382[/C][C]0.26229[/C][/ROW]
[ROW][C]17[/C][C]-0.119101[/C][C]-1.3047[/C][C]0.097249[/C][/ROW]
[ROW][C]18[/C][C]-0.000192[/C][C]-0.0021[/C][C]0.499162[/C][/ROW]
[ROW][C]19[/C][C]0.000779[/C][C]0.0085[/C][C]0.496601[/C][/ROW]
[ROW][C]20[/C][C]-0.02749[/C][C]-0.3011[/C][C]0.381915[/C][/ROW]
[ROW][C]21[/C][C]-0.021002[/C][C]-0.2301[/C][C]0.409218[/C][/ROW]
[ROW][C]22[/C][C]-0.022438[/C][C]-0.2458[/C][C]0.403129[/C][/ROW]
[ROW][C]23[/C][C]0.027417[/C][C]0.3003[/C][C]0.382221[/C][/ROW]
[ROW][C]24[/C][C]-0.009557[/C][C]-0.1047[/C][C]0.458398[/C][/ROW]
[ROW][C]25[/C][C]-0.10336[/C][C]-1.1322[/C][C]0.129894[/C][/ROW]
[ROW][C]26[/C][C]0.037493[/C][C]0.4107[/C][C]0.341008[/C][/ROW]
[ROW][C]27[/C][C]-0.001835[/C][C]-0.0201[/C][C]0.491996[/C][/ROW]
[ROW][C]28[/C][C]-0.076174[/C][C]-0.8344[/C][C]0.202846[/C][/ROW]
[ROW][C]29[/C][C]0.043466[/C][C]0.4761[/C][C]0.317417[/C][/ROW]
[ROW][C]30[/C][C]-0.07911[/C][C]-0.8666[/C][C]0.193945[/C][/ROW]
[ROW][C]31[/C][C]-0.093516[/C][C]-1.0244[/C][C]0.15385[/C][/ROW]
[ROW][C]32[/C][C]-0.049971[/C][C]-0.5474[/C][C]0.292557[/C][/ROW]
[ROW][C]33[/C][C]-0.033857[/C][C]-0.3709[/C][C]0.35569[/C][/ROW]
[ROW][C]34[/C][C]0.007857[/C][C]0.0861[/C][C]0.465776[/C][/ROW]
[ROW][C]35[/C][C]-0.051234[/C][C]-0.5612[/C][C]0.287842[/C][/ROW]
[ROW][C]36[/C][C]0.01409[/C][C]0.1543[/C][C]0.438798[/C][/ROW]
[ROW][C]37[/C][C]-0.017369[/C][C]-0.1903[/C][C]0.424712[/C][/ROW]
[ROW][C]38[/C][C]0.057193[/C][C]0.6265[/C][C]0.266084[/C][/ROW]
[ROW][C]39[/C][C]-0.050743[/C][C]-0.5559[/C][C]0.28967[/C][/ROW]
[ROW][C]40[/C][C]0.010515[/C][C]0.1152[/C][C]0.454243[/C][/ROW]
[ROW][C]41[/C][C]-0.032903[/C][C]-0.3604[/C][C]0.359577[/C][/ROW]
[ROW][C]42[/C][C]0.046627[/C][C]0.5108[/C][C]0.305224[/C][/ROW]
[ROW][C]43[/C][C]-0.051084[/C][C]-0.5596[/C][C]0.288397[/C][/ROW]
[ROW][C]44[/C][C]0.016098[/C][C]0.1763[/C][C]0.43016[/C][/ROW]
[ROW][C]45[/C][C]-0.01926[/C][C]-0.211[/C][C]0.416629[/C][/ROW]
[ROW][C]46[/C][C]-0.026956[/C][C]-0.2953[/C][C]0.38414[/C][/ROW]
[ROW][C]47[/C][C]-0.004511[/C][C]-0.0494[/C][C]0.480337[/C][/ROW]
[ROW][C]48[/C][C]-0.039293[/C][C]-0.4304[/C][C]0.333825[/C][/ROW]
[ROW][C]49[/C][C]0.048408[/C][C]0.5303[/C][C]0.298447[/C][/ROW]
[ROW][C]50[/C][C]0.034939[/C][C]0.3827[/C][C]0.351296[/C][/ROW]
[ROW][C]51[/C][C]0.071125[/C][C]0.7791[/C][C]0.218716[/C][/ROW]
[ROW][C]52[/C][C]-0.080805[/C][C]-0.8852[/C][C]0.188917[/C][/ROW]
[ROW][C]53[/C][C]0.017347[/C][C]0.19[/C][C]0.424804[/C][/ROW]
[ROW][C]54[/C][C]0.027825[/C][C]0.3048[/C][C]0.380521[/C][/ROW]
[ROW][C]55[/C][C]-0.027409[/C][C]-0.3002[/C][C]0.382254[/C][/ROW]
[ROW][C]56[/C][C]0.033755[/C][C]0.3698[/C][C]0.356102[/C][/ROW]
[ROW][C]57[/C][C]-0.071094[/C][C]-0.7788[/C][C]0.218818[/C][/ROW]
[ROW][C]58[/C][C]-0.022282[/C][C]-0.2441[/C][C]0.403791[/C][/ROW]
[ROW][C]59[/C][C]-0.031152[/C][C]-0.3413[/C][C]0.366755[/C][/ROW]
[ROW][C]60[/C][C]0.011901[/C][C]0.1304[/C][C]0.448245[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34824&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34824&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
10.8300399.09260
2-0.464849-5.09221e-06
30.1081571.18480.119218
40.1208921.32430.093958
50.0604710.66240.254484
6-0.081922-0.89740.18565
70.0107250.11750.453334
80.1475441.61630.054332
90.3252663.56310.000263
100.2995443.28130.000677
110.3202733.50840.000318
120.0136950.150.440498
13-0.7052-7.72510
140.1966482.15420.016613
15-0.158182-1.73280.04285
16-0.058257-0.63820.26229
17-0.119101-1.30470.097249
18-0.000192-0.00210.499162
190.0007790.00850.496601
20-0.02749-0.30110.381915
21-0.021002-0.23010.409218
22-0.022438-0.24580.403129
230.0274170.30030.382221
24-0.009557-0.10470.458398
25-0.10336-1.13220.129894
260.0374930.41070.341008
27-0.001835-0.02010.491996
28-0.076174-0.83440.202846
290.0434660.47610.317417
30-0.07911-0.86660.193945
31-0.093516-1.02440.15385
32-0.049971-0.54740.292557
33-0.033857-0.37090.35569
340.0078570.08610.465776
35-0.051234-0.56120.287842
360.014090.15430.438798
37-0.017369-0.19030.424712
380.0571930.62650.266084
39-0.050743-0.55590.28967
400.0105150.11520.454243
41-0.032903-0.36040.359577
420.0466270.51080.305224
43-0.051084-0.55960.288397
440.0160980.17630.43016
45-0.01926-0.2110.416629
46-0.026956-0.29530.38414
47-0.004511-0.04940.480337
48-0.039293-0.43040.333825
490.0484080.53030.298447
500.0349390.38270.351296
510.0711250.77910.218716
52-0.080805-0.88520.188917
530.0173470.190.424804
540.0278250.30480.380521
55-0.027409-0.30020.382254
560.0337550.36980.356102
57-0.071094-0.77880.218818
58-0.022282-0.24410.403791
59-0.031152-0.34130.366755
600.0119010.13040.448245



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; 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')