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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 computationSun, 14 Dec 2008 13:38:09 -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/14/t1229287134rt1pofk3pen4sfp.htm/, Retrieved Thu, 16 May 2024 01:42:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33561, Retrieved Thu, 16 May 2024 01:42:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgdm
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Werkloosheid bij ...] [2008-12-14 20:38:09] [99f79d508deef838ee89a56fb32f134e] [Current]
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Dataseries X:
88900
87280
85519
83647
81616
80100
94027
102327
104296
101593
94816
93535
93618
92330
90751
88576
86102
85494
103432
108870
109713
106960
103195
102348
102158
100431
97649
95611
93035
93579
111777
116065
116609
112934
107660
107965
107772
106201
102288
99217
96511
96456
113021
117836
118492
113922
109317
107496
105524
103824
101833
99436
96915
96072
111941
116008
117557
113445
108762
106661
102824
101912
99005
97894
96256
95606
108948
111223
113142
106078
100992
97413




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33561&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33561&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33561&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2647452.23080.014428
2-0.082175-0.69240.245466
3-0.287582-2.42320.008968
4-0.310466-2.6160.00543
5-0.096159-0.81020.210253
6-0.008837-0.07450.470425
7-0.047458-0.39990.345221
8-0.234525-1.97610.026012
9-0.185642-1.56420.061103
10-0.05094-0.42920.334528
110.2473512.08420.02037
120.7820576.58970
130.1634711.37740.086353
14-0.07955-0.67030.25242
15-0.23738-2.00020.024652
16-0.231325-1.94920.027613
17-0.082123-0.6920.245603
18-0.002615-0.0220.491242
19-0.037836-0.31880.375402
20-0.18456-1.55510.06218
21-0.137499-1.15860.125253
22-0.033888-0.28550.388028
230.196621.65680.050991
240.5929374.99622e-06
250.1232321.03840.15131
26-0.061012-0.51410.304389
27-0.201315-1.69630.047104
28-0.191726-1.61550.055318
29-0.068657-0.57850.282374
30-0.005702-0.0480.480908
31-0.015686-0.13220.447611
32-0.133432-1.12430.132332
33-0.100831-0.84960.199198
34-0.030281-0.25520.399671
350.1420041.19660.117731
360.4497943.790.000156
370.1004970.84680.199974
38-0.038661-0.32580.372782
39-0.162277-1.36740.087911
40-0.154367-1.30070.098781
41-0.080838-0.68110.248996
42-0.018869-0.1590.437061
43-0.003681-0.0310.48767
44-0.080541-0.67860.249783
45-0.055241-0.46550.321511
46-0.013432-0.11320.455105
470.1060030.89320.187385
480.312272.63120.005214
490.0576990.48620.31417
50-0.02409-0.2030.419865
51-0.131276-1.10620.136197
52-0.112376-0.94690.173452
53-0.068836-0.580.281869
54-0.006657-0.05610.477712
550.0069140.05830.476853
56-0.042603-0.3590.360338
57-0.015943-0.13430.446758
580.0034440.0290.488465
590.0732260.6170.269601
600.1561521.31580.096244

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.264745 & 2.2308 & 0.014428 \tabularnewline
2 & -0.082175 & -0.6924 & 0.245466 \tabularnewline
3 & -0.287582 & -2.4232 & 0.008968 \tabularnewline
4 & -0.310466 & -2.616 & 0.00543 \tabularnewline
5 & -0.096159 & -0.8102 & 0.210253 \tabularnewline
6 & -0.008837 & -0.0745 & 0.470425 \tabularnewline
7 & -0.047458 & -0.3999 & 0.345221 \tabularnewline
8 & -0.234525 & -1.9761 & 0.026012 \tabularnewline
9 & -0.185642 & -1.5642 & 0.061103 \tabularnewline
10 & -0.05094 & -0.4292 & 0.334528 \tabularnewline
11 & 0.247351 & 2.0842 & 0.02037 \tabularnewline
12 & 0.782057 & 6.5897 & 0 \tabularnewline
13 & 0.163471 & 1.3774 & 0.086353 \tabularnewline
14 & -0.07955 & -0.6703 & 0.25242 \tabularnewline
15 & -0.23738 & -2.0002 & 0.024652 \tabularnewline
16 & -0.231325 & -1.9492 & 0.027613 \tabularnewline
17 & -0.082123 & -0.692 & 0.245603 \tabularnewline
18 & -0.002615 & -0.022 & 0.491242 \tabularnewline
19 & -0.037836 & -0.3188 & 0.375402 \tabularnewline
20 & -0.18456 & -1.5551 & 0.06218 \tabularnewline
21 & -0.137499 & -1.1586 & 0.125253 \tabularnewline
22 & -0.033888 & -0.2855 & 0.388028 \tabularnewline
23 & 0.19662 & 1.6568 & 0.050991 \tabularnewline
24 & 0.592937 & 4.9962 & 2e-06 \tabularnewline
25 & 0.123232 & 1.0384 & 0.15131 \tabularnewline
26 & -0.061012 & -0.5141 & 0.304389 \tabularnewline
27 & -0.201315 & -1.6963 & 0.047104 \tabularnewline
28 & -0.191726 & -1.6155 & 0.055318 \tabularnewline
29 & -0.068657 & -0.5785 & 0.282374 \tabularnewline
30 & -0.005702 & -0.048 & 0.480908 \tabularnewline
31 & -0.015686 & -0.1322 & 0.447611 \tabularnewline
32 & -0.133432 & -1.1243 & 0.132332 \tabularnewline
33 & -0.100831 & -0.8496 & 0.199198 \tabularnewline
34 & -0.030281 & -0.2552 & 0.399671 \tabularnewline
35 & 0.142004 & 1.1966 & 0.117731 \tabularnewline
36 & 0.449794 & 3.79 & 0.000156 \tabularnewline
37 & 0.100497 & 0.8468 & 0.199974 \tabularnewline
38 & -0.038661 & -0.3258 & 0.372782 \tabularnewline
39 & -0.162277 & -1.3674 & 0.087911 \tabularnewline
40 & -0.154367 & -1.3007 & 0.098781 \tabularnewline
41 & -0.080838 & -0.6811 & 0.248996 \tabularnewline
42 & -0.018869 & -0.159 & 0.437061 \tabularnewline
43 & -0.003681 & -0.031 & 0.48767 \tabularnewline
44 & -0.080541 & -0.6786 & 0.249783 \tabularnewline
45 & -0.055241 & -0.4655 & 0.321511 \tabularnewline
46 & -0.013432 & -0.1132 & 0.455105 \tabularnewline
47 & 0.106003 & 0.8932 & 0.187385 \tabularnewline
48 & 0.31227 & 2.6312 & 0.005214 \tabularnewline
49 & 0.057699 & 0.4862 & 0.31417 \tabularnewline
50 & -0.02409 & -0.203 & 0.419865 \tabularnewline
51 & -0.131276 & -1.1062 & 0.136197 \tabularnewline
52 & -0.112376 & -0.9469 & 0.173452 \tabularnewline
53 & -0.068836 & -0.58 & 0.281869 \tabularnewline
54 & -0.006657 & -0.0561 & 0.477712 \tabularnewline
55 & 0.006914 & 0.0583 & 0.476853 \tabularnewline
56 & -0.042603 & -0.359 & 0.360338 \tabularnewline
57 & -0.015943 & -0.1343 & 0.446758 \tabularnewline
58 & 0.003444 & 0.029 & 0.488465 \tabularnewline
59 & 0.073226 & 0.617 & 0.269601 \tabularnewline
60 & 0.156152 & 1.3158 & 0.096244 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33561&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]0.264745[/C][C]2.2308[/C][C]0.014428[/C][/ROW]
[ROW][C]2[/C][C]-0.082175[/C][C]-0.6924[/C][C]0.245466[/C][/ROW]
[ROW][C]3[/C][C]-0.287582[/C][C]-2.4232[/C][C]0.008968[/C][/ROW]
[ROW][C]4[/C][C]-0.310466[/C][C]-2.616[/C][C]0.00543[/C][/ROW]
[ROW][C]5[/C][C]-0.096159[/C][C]-0.8102[/C][C]0.210253[/C][/ROW]
[ROW][C]6[/C][C]-0.008837[/C][C]-0.0745[/C][C]0.470425[/C][/ROW]
[ROW][C]7[/C][C]-0.047458[/C][C]-0.3999[/C][C]0.345221[/C][/ROW]
[ROW][C]8[/C][C]-0.234525[/C][C]-1.9761[/C][C]0.026012[/C][/ROW]
[ROW][C]9[/C][C]-0.185642[/C][C]-1.5642[/C][C]0.061103[/C][/ROW]
[ROW][C]10[/C][C]-0.05094[/C][C]-0.4292[/C][C]0.334528[/C][/ROW]
[ROW][C]11[/C][C]0.247351[/C][C]2.0842[/C][C]0.02037[/C][/ROW]
[ROW][C]12[/C][C]0.782057[/C][C]6.5897[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.163471[/C][C]1.3774[/C][C]0.086353[/C][/ROW]
[ROW][C]14[/C][C]-0.07955[/C][C]-0.6703[/C][C]0.25242[/C][/ROW]
[ROW][C]15[/C][C]-0.23738[/C][C]-2.0002[/C][C]0.024652[/C][/ROW]
[ROW][C]16[/C][C]-0.231325[/C][C]-1.9492[/C][C]0.027613[/C][/ROW]
[ROW][C]17[/C][C]-0.082123[/C][C]-0.692[/C][C]0.245603[/C][/ROW]
[ROW][C]18[/C][C]-0.002615[/C][C]-0.022[/C][C]0.491242[/C][/ROW]
[ROW][C]19[/C][C]-0.037836[/C][C]-0.3188[/C][C]0.375402[/C][/ROW]
[ROW][C]20[/C][C]-0.18456[/C][C]-1.5551[/C][C]0.06218[/C][/ROW]
[ROW][C]21[/C][C]-0.137499[/C][C]-1.1586[/C][C]0.125253[/C][/ROW]
[ROW][C]22[/C][C]-0.033888[/C][C]-0.2855[/C][C]0.388028[/C][/ROW]
[ROW][C]23[/C][C]0.19662[/C][C]1.6568[/C][C]0.050991[/C][/ROW]
[ROW][C]24[/C][C]0.592937[/C][C]4.9962[/C][C]2e-06[/C][/ROW]
[ROW][C]25[/C][C]0.123232[/C][C]1.0384[/C][C]0.15131[/C][/ROW]
[ROW][C]26[/C][C]-0.061012[/C][C]-0.5141[/C][C]0.304389[/C][/ROW]
[ROW][C]27[/C][C]-0.201315[/C][C]-1.6963[/C][C]0.047104[/C][/ROW]
[ROW][C]28[/C][C]-0.191726[/C][C]-1.6155[/C][C]0.055318[/C][/ROW]
[ROW][C]29[/C][C]-0.068657[/C][C]-0.5785[/C][C]0.282374[/C][/ROW]
[ROW][C]30[/C][C]-0.005702[/C][C]-0.048[/C][C]0.480908[/C][/ROW]
[ROW][C]31[/C][C]-0.015686[/C][C]-0.1322[/C][C]0.447611[/C][/ROW]
[ROW][C]32[/C][C]-0.133432[/C][C]-1.1243[/C][C]0.132332[/C][/ROW]
[ROW][C]33[/C][C]-0.100831[/C][C]-0.8496[/C][C]0.199198[/C][/ROW]
[ROW][C]34[/C][C]-0.030281[/C][C]-0.2552[/C][C]0.399671[/C][/ROW]
[ROW][C]35[/C][C]0.142004[/C][C]1.1966[/C][C]0.117731[/C][/ROW]
[ROW][C]36[/C][C]0.449794[/C][C]3.79[/C][C]0.000156[/C][/ROW]
[ROW][C]37[/C][C]0.100497[/C][C]0.8468[/C][C]0.199974[/C][/ROW]
[ROW][C]38[/C][C]-0.038661[/C][C]-0.3258[/C][C]0.372782[/C][/ROW]
[ROW][C]39[/C][C]-0.162277[/C][C]-1.3674[/C][C]0.087911[/C][/ROW]
[ROW][C]40[/C][C]-0.154367[/C][C]-1.3007[/C][C]0.098781[/C][/ROW]
[ROW][C]41[/C][C]-0.080838[/C][C]-0.6811[/C][C]0.248996[/C][/ROW]
[ROW][C]42[/C][C]-0.018869[/C][C]-0.159[/C][C]0.437061[/C][/ROW]
[ROW][C]43[/C][C]-0.003681[/C][C]-0.031[/C][C]0.48767[/C][/ROW]
[ROW][C]44[/C][C]-0.080541[/C][C]-0.6786[/C][C]0.249783[/C][/ROW]
[ROW][C]45[/C][C]-0.055241[/C][C]-0.4655[/C][C]0.321511[/C][/ROW]
[ROW][C]46[/C][C]-0.013432[/C][C]-0.1132[/C][C]0.455105[/C][/ROW]
[ROW][C]47[/C][C]0.106003[/C][C]0.8932[/C][C]0.187385[/C][/ROW]
[ROW][C]48[/C][C]0.31227[/C][C]2.6312[/C][C]0.005214[/C][/ROW]
[ROW][C]49[/C][C]0.057699[/C][C]0.4862[/C][C]0.31417[/C][/ROW]
[ROW][C]50[/C][C]-0.02409[/C][C]-0.203[/C][C]0.419865[/C][/ROW]
[ROW][C]51[/C][C]-0.131276[/C][C]-1.1062[/C][C]0.136197[/C][/ROW]
[ROW][C]52[/C][C]-0.112376[/C][C]-0.9469[/C][C]0.173452[/C][/ROW]
[ROW][C]53[/C][C]-0.068836[/C][C]-0.58[/C][C]0.281869[/C][/ROW]
[ROW][C]54[/C][C]-0.006657[/C][C]-0.0561[/C][C]0.477712[/C][/ROW]
[ROW][C]55[/C][C]0.006914[/C][C]0.0583[/C][C]0.476853[/C][/ROW]
[ROW][C]56[/C][C]-0.042603[/C][C]-0.359[/C][C]0.360338[/C][/ROW]
[ROW][C]57[/C][C]-0.015943[/C][C]-0.1343[/C][C]0.446758[/C][/ROW]
[ROW][C]58[/C][C]0.003444[/C][C]0.029[/C][C]0.488465[/C][/ROW]
[ROW][C]59[/C][C]0.073226[/C][C]0.617[/C][C]0.269601[/C][/ROW]
[ROW][C]60[/C][C]0.156152[/C][C]1.3158[/C][C]0.096244[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33561&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33561&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
10.2647452.23080.014428
2-0.082175-0.69240.245466
3-0.287582-2.42320.008968
4-0.310466-2.6160.00543
5-0.096159-0.81020.210253
6-0.008837-0.07450.470425
7-0.047458-0.39990.345221
8-0.234525-1.97610.026012
9-0.185642-1.56420.061103
10-0.05094-0.42920.334528
110.2473512.08420.02037
120.7820576.58970
130.1634711.37740.086353
14-0.07955-0.67030.25242
15-0.23738-2.00020.024652
16-0.231325-1.94920.027613
17-0.082123-0.6920.245603
18-0.002615-0.0220.491242
19-0.037836-0.31880.375402
20-0.18456-1.55510.06218
21-0.137499-1.15860.125253
22-0.033888-0.28550.388028
230.196621.65680.050991
240.5929374.99622e-06
250.1232321.03840.15131
26-0.061012-0.51410.304389
27-0.201315-1.69630.047104
28-0.191726-1.61550.055318
29-0.068657-0.57850.282374
30-0.005702-0.0480.480908
31-0.015686-0.13220.447611
32-0.133432-1.12430.132332
33-0.100831-0.84960.199198
34-0.030281-0.25520.399671
350.1420041.19660.117731
360.4497943.790.000156
370.1004970.84680.199974
38-0.038661-0.32580.372782
39-0.162277-1.36740.087911
40-0.154367-1.30070.098781
41-0.080838-0.68110.248996
42-0.018869-0.1590.437061
43-0.003681-0.0310.48767
44-0.080541-0.67860.249783
45-0.055241-0.46550.321511
46-0.013432-0.11320.455105
470.1060030.89320.187385
480.312272.63120.005214
490.0576990.48620.31417
50-0.02409-0.2030.419865
51-0.131276-1.10620.136197
52-0.112376-0.94690.173452
53-0.068836-0.580.281869
54-0.006657-0.05610.477712
550.0069140.05830.476853
56-0.042603-0.3590.360338
57-0.015943-0.13430.446758
580.0034440.0290.488465
590.0732260.6170.269601
600.1561521.31580.096244







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2647452.23080.014428
2-0.163742-1.37970.086003
3-0.241901-2.03830.022623
4-0.207205-1.74590.042573
5-0.024265-0.20450.419288
6-0.107551-0.90620.183936
7-0.194397-1.6380.052922
8-0.376407-3.17170.00112
9-0.276249-2.32770.011391
10-0.315941-2.66220.004798
11-0.15013-1.2650.105
120.6199215.22361e-06
13-0.312375-2.63210.005202
140.0606670.51120.305404
150.1747581.47250.072648
160.1386211.1680.123348
170.0060240.05080.479829
180.0867150.73070.233691
190.0732340.61710.269579
200.0982090.82750.205357
21-0.013684-0.11530.454264
220.0701410.5910.278193
23-0.061892-0.52150.301816
24-0.004207-0.03540.485911
250.0865650.72940.234076
26-0.043438-0.3660.357722
27-0.0896-0.7550.226379
28-0.039977-0.33690.368611
290.0232940.19630.422475
30-0.094039-0.79240.215387
31-0.022183-0.18690.42613
32-0.021858-0.18420.4272
33-0.03684-0.31040.378577
34-0.0649-0.54690.293095
35-0.027944-0.23550.407266
36-0.027567-0.23230.408493
37-0.026854-0.22630.410819
38-0.017323-0.1460.442181
390.0181850.15320.439325
40-0.023196-0.19550.422798
41-0.090338-0.76120.224528
420.0105330.08880.464765
43-0.023493-0.1980.421822
44-0.00153-0.01290.494873
45-0.006924-0.05830.476818
460.0232630.1960.422578
47-0.004303-0.03630.485591
48-0.079431-0.66930.252738
49-0.027333-0.23030.409255
500.0268570.22630.410808
51-0.091175-0.76830.222443
52-0.016692-0.14070.444272
530.0068060.05740.477213
54-0.00699-0.05890.476599
55-0.047177-0.39750.346088
560.0168410.14190.443777
570.0700480.59020.278453
580.0133250.11230.455458
590.0137280.11570.45412
60-0.124117-1.04580.149594

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.264745 & 2.2308 & 0.014428 \tabularnewline
2 & -0.163742 & -1.3797 & 0.086003 \tabularnewline
3 & -0.241901 & -2.0383 & 0.022623 \tabularnewline
4 & -0.207205 & -1.7459 & 0.042573 \tabularnewline
5 & -0.024265 & -0.2045 & 0.419288 \tabularnewline
6 & -0.107551 & -0.9062 & 0.183936 \tabularnewline
7 & -0.194397 & -1.638 & 0.052922 \tabularnewline
8 & -0.376407 & -3.1717 & 0.00112 \tabularnewline
9 & -0.276249 & -2.3277 & 0.011391 \tabularnewline
10 & -0.315941 & -2.6622 & 0.004798 \tabularnewline
11 & -0.15013 & -1.265 & 0.105 \tabularnewline
12 & 0.619921 & 5.2236 & 1e-06 \tabularnewline
13 & -0.312375 & -2.6321 & 0.005202 \tabularnewline
14 & 0.060667 & 0.5112 & 0.305404 \tabularnewline
15 & 0.174758 & 1.4725 & 0.072648 \tabularnewline
16 & 0.138621 & 1.168 & 0.123348 \tabularnewline
17 & 0.006024 & 0.0508 & 0.479829 \tabularnewline
18 & 0.086715 & 0.7307 & 0.233691 \tabularnewline
19 & 0.073234 & 0.6171 & 0.269579 \tabularnewline
20 & 0.098209 & 0.8275 & 0.205357 \tabularnewline
21 & -0.013684 & -0.1153 & 0.454264 \tabularnewline
22 & 0.070141 & 0.591 & 0.278193 \tabularnewline
23 & -0.061892 & -0.5215 & 0.301816 \tabularnewline
24 & -0.004207 & -0.0354 & 0.485911 \tabularnewline
25 & 0.086565 & 0.7294 & 0.234076 \tabularnewline
26 & -0.043438 & -0.366 & 0.357722 \tabularnewline
27 & -0.0896 & -0.755 & 0.226379 \tabularnewline
28 & -0.039977 & -0.3369 & 0.368611 \tabularnewline
29 & 0.023294 & 0.1963 & 0.422475 \tabularnewline
30 & -0.094039 & -0.7924 & 0.215387 \tabularnewline
31 & -0.022183 & -0.1869 & 0.42613 \tabularnewline
32 & -0.021858 & -0.1842 & 0.4272 \tabularnewline
33 & -0.03684 & -0.3104 & 0.378577 \tabularnewline
34 & -0.0649 & -0.5469 & 0.293095 \tabularnewline
35 & -0.027944 & -0.2355 & 0.407266 \tabularnewline
36 & -0.027567 & -0.2323 & 0.408493 \tabularnewline
37 & -0.026854 & -0.2263 & 0.410819 \tabularnewline
38 & -0.017323 & -0.146 & 0.442181 \tabularnewline
39 & 0.018185 & 0.1532 & 0.439325 \tabularnewline
40 & -0.023196 & -0.1955 & 0.422798 \tabularnewline
41 & -0.090338 & -0.7612 & 0.224528 \tabularnewline
42 & 0.010533 & 0.0888 & 0.464765 \tabularnewline
43 & -0.023493 & -0.198 & 0.421822 \tabularnewline
44 & -0.00153 & -0.0129 & 0.494873 \tabularnewline
45 & -0.006924 & -0.0583 & 0.476818 \tabularnewline
46 & 0.023263 & 0.196 & 0.422578 \tabularnewline
47 & -0.004303 & -0.0363 & 0.485591 \tabularnewline
48 & -0.079431 & -0.6693 & 0.252738 \tabularnewline
49 & -0.027333 & -0.2303 & 0.409255 \tabularnewline
50 & 0.026857 & 0.2263 & 0.410808 \tabularnewline
51 & -0.091175 & -0.7683 & 0.222443 \tabularnewline
52 & -0.016692 & -0.1407 & 0.444272 \tabularnewline
53 & 0.006806 & 0.0574 & 0.477213 \tabularnewline
54 & -0.00699 & -0.0589 & 0.476599 \tabularnewline
55 & -0.047177 & -0.3975 & 0.346088 \tabularnewline
56 & 0.016841 & 0.1419 & 0.443777 \tabularnewline
57 & 0.070048 & 0.5902 & 0.278453 \tabularnewline
58 & 0.013325 & 0.1123 & 0.455458 \tabularnewline
59 & 0.013728 & 0.1157 & 0.45412 \tabularnewline
60 & -0.124117 & -1.0458 & 0.149594 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33561&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]0.264745[/C][C]2.2308[/C][C]0.014428[/C][/ROW]
[ROW][C]2[/C][C]-0.163742[/C][C]-1.3797[/C][C]0.086003[/C][/ROW]
[ROW][C]3[/C][C]-0.241901[/C][C]-2.0383[/C][C]0.022623[/C][/ROW]
[ROW][C]4[/C][C]-0.207205[/C][C]-1.7459[/C][C]0.042573[/C][/ROW]
[ROW][C]5[/C][C]-0.024265[/C][C]-0.2045[/C][C]0.419288[/C][/ROW]
[ROW][C]6[/C][C]-0.107551[/C][C]-0.9062[/C][C]0.183936[/C][/ROW]
[ROW][C]7[/C][C]-0.194397[/C][C]-1.638[/C][C]0.052922[/C][/ROW]
[ROW][C]8[/C][C]-0.376407[/C][C]-3.1717[/C][C]0.00112[/C][/ROW]
[ROW][C]9[/C][C]-0.276249[/C][C]-2.3277[/C][C]0.011391[/C][/ROW]
[ROW][C]10[/C][C]-0.315941[/C][C]-2.6622[/C][C]0.004798[/C][/ROW]
[ROW][C]11[/C][C]-0.15013[/C][C]-1.265[/C][C]0.105[/C][/ROW]
[ROW][C]12[/C][C]0.619921[/C][C]5.2236[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.312375[/C][C]-2.6321[/C][C]0.005202[/C][/ROW]
[ROW][C]14[/C][C]0.060667[/C][C]0.5112[/C][C]0.305404[/C][/ROW]
[ROW][C]15[/C][C]0.174758[/C][C]1.4725[/C][C]0.072648[/C][/ROW]
[ROW][C]16[/C][C]0.138621[/C][C]1.168[/C][C]0.123348[/C][/ROW]
[ROW][C]17[/C][C]0.006024[/C][C]0.0508[/C][C]0.479829[/C][/ROW]
[ROW][C]18[/C][C]0.086715[/C][C]0.7307[/C][C]0.233691[/C][/ROW]
[ROW][C]19[/C][C]0.073234[/C][C]0.6171[/C][C]0.269579[/C][/ROW]
[ROW][C]20[/C][C]0.098209[/C][C]0.8275[/C][C]0.205357[/C][/ROW]
[ROW][C]21[/C][C]-0.013684[/C][C]-0.1153[/C][C]0.454264[/C][/ROW]
[ROW][C]22[/C][C]0.070141[/C][C]0.591[/C][C]0.278193[/C][/ROW]
[ROW][C]23[/C][C]-0.061892[/C][C]-0.5215[/C][C]0.301816[/C][/ROW]
[ROW][C]24[/C][C]-0.004207[/C][C]-0.0354[/C][C]0.485911[/C][/ROW]
[ROW][C]25[/C][C]0.086565[/C][C]0.7294[/C][C]0.234076[/C][/ROW]
[ROW][C]26[/C][C]-0.043438[/C][C]-0.366[/C][C]0.357722[/C][/ROW]
[ROW][C]27[/C][C]-0.0896[/C][C]-0.755[/C][C]0.226379[/C][/ROW]
[ROW][C]28[/C][C]-0.039977[/C][C]-0.3369[/C][C]0.368611[/C][/ROW]
[ROW][C]29[/C][C]0.023294[/C][C]0.1963[/C][C]0.422475[/C][/ROW]
[ROW][C]30[/C][C]-0.094039[/C][C]-0.7924[/C][C]0.215387[/C][/ROW]
[ROW][C]31[/C][C]-0.022183[/C][C]-0.1869[/C][C]0.42613[/C][/ROW]
[ROW][C]32[/C][C]-0.021858[/C][C]-0.1842[/C][C]0.4272[/C][/ROW]
[ROW][C]33[/C][C]-0.03684[/C][C]-0.3104[/C][C]0.378577[/C][/ROW]
[ROW][C]34[/C][C]-0.0649[/C][C]-0.5469[/C][C]0.293095[/C][/ROW]
[ROW][C]35[/C][C]-0.027944[/C][C]-0.2355[/C][C]0.407266[/C][/ROW]
[ROW][C]36[/C][C]-0.027567[/C][C]-0.2323[/C][C]0.408493[/C][/ROW]
[ROW][C]37[/C][C]-0.026854[/C][C]-0.2263[/C][C]0.410819[/C][/ROW]
[ROW][C]38[/C][C]-0.017323[/C][C]-0.146[/C][C]0.442181[/C][/ROW]
[ROW][C]39[/C][C]0.018185[/C][C]0.1532[/C][C]0.439325[/C][/ROW]
[ROW][C]40[/C][C]-0.023196[/C][C]-0.1955[/C][C]0.422798[/C][/ROW]
[ROW][C]41[/C][C]-0.090338[/C][C]-0.7612[/C][C]0.224528[/C][/ROW]
[ROW][C]42[/C][C]0.010533[/C][C]0.0888[/C][C]0.464765[/C][/ROW]
[ROW][C]43[/C][C]-0.023493[/C][C]-0.198[/C][C]0.421822[/C][/ROW]
[ROW][C]44[/C][C]-0.00153[/C][C]-0.0129[/C][C]0.494873[/C][/ROW]
[ROW][C]45[/C][C]-0.006924[/C][C]-0.0583[/C][C]0.476818[/C][/ROW]
[ROW][C]46[/C][C]0.023263[/C][C]0.196[/C][C]0.422578[/C][/ROW]
[ROW][C]47[/C][C]-0.004303[/C][C]-0.0363[/C][C]0.485591[/C][/ROW]
[ROW][C]48[/C][C]-0.079431[/C][C]-0.6693[/C][C]0.252738[/C][/ROW]
[ROW][C]49[/C][C]-0.027333[/C][C]-0.2303[/C][C]0.409255[/C][/ROW]
[ROW][C]50[/C][C]0.026857[/C][C]0.2263[/C][C]0.410808[/C][/ROW]
[ROW][C]51[/C][C]-0.091175[/C][C]-0.7683[/C][C]0.222443[/C][/ROW]
[ROW][C]52[/C][C]-0.016692[/C][C]-0.1407[/C][C]0.444272[/C][/ROW]
[ROW][C]53[/C][C]0.006806[/C][C]0.0574[/C][C]0.477213[/C][/ROW]
[ROW][C]54[/C][C]-0.00699[/C][C]-0.0589[/C][C]0.476599[/C][/ROW]
[ROW][C]55[/C][C]-0.047177[/C][C]-0.3975[/C][C]0.346088[/C][/ROW]
[ROW][C]56[/C][C]0.016841[/C][C]0.1419[/C][C]0.443777[/C][/ROW]
[ROW][C]57[/C][C]0.070048[/C][C]0.5902[/C][C]0.278453[/C][/ROW]
[ROW][C]58[/C][C]0.013325[/C][C]0.1123[/C][C]0.455458[/C][/ROW]
[ROW][C]59[/C][C]0.013728[/C][C]0.1157[/C][C]0.45412[/C][/ROW]
[ROW][C]60[/C][C]-0.124117[/C][C]-1.0458[/C][C]0.149594[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33561&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33561&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
10.2647452.23080.014428
2-0.163742-1.37970.086003
3-0.241901-2.03830.022623
4-0.207205-1.74590.042573
5-0.024265-0.20450.419288
6-0.107551-0.90620.183936
7-0.194397-1.6380.052922
8-0.376407-3.17170.00112
9-0.276249-2.32770.011391
10-0.315941-2.66220.004798
11-0.15013-1.2650.105
120.6199215.22361e-06
13-0.312375-2.63210.005202
140.0606670.51120.305404
150.1747581.47250.072648
160.1386211.1680.123348
170.0060240.05080.479829
180.0867150.73070.233691
190.0732340.61710.269579
200.0982090.82750.205357
21-0.013684-0.11530.454264
220.0701410.5910.278193
23-0.061892-0.52150.301816
24-0.004207-0.03540.485911
250.0865650.72940.234076
26-0.043438-0.3660.357722
27-0.0896-0.7550.226379
28-0.039977-0.33690.368611
290.0232940.19630.422475
30-0.094039-0.79240.215387
31-0.022183-0.18690.42613
32-0.021858-0.18420.4272
33-0.03684-0.31040.378577
34-0.0649-0.54690.293095
35-0.027944-0.23550.407266
36-0.027567-0.23230.408493
37-0.026854-0.22630.410819
38-0.017323-0.1460.442181
390.0181850.15320.439325
40-0.023196-0.19550.422798
41-0.090338-0.76120.224528
420.0105330.08880.464765
43-0.023493-0.1980.421822
44-0.00153-0.01290.494873
45-0.006924-0.05830.476818
460.0232630.1960.422578
47-0.004303-0.03630.485591
48-0.079431-0.66930.252738
49-0.027333-0.23030.409255
500.0268570.22630.410808
51-0.091175-0.76830.222443
52-0.016692-0.14070.444272
530.0068060.05740.477213
54-0.00699-0.05890.476599
55-0.047177-0.39750.346088
560.0168410.14190.443777
570.0700480.59020.278453
580.0133250.11230.455458
590.0137280.11570.45412
60-0.124117-1.04580.149594



Parameters (Session):
par1 = 60 ; par2 = -2.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -2.0 ; par3 = 1 ; 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')