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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 29 Nov 2007 03:26:12 -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/2007/Nov/29/t1196331419g70uvh4nkibwq0p.htm/, Retrieved Fri, 03 May 2024 05:12:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7375, Retrieved Fri, 03 May 2024 05:12:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsChristel Stuer, Steven Coomans
Estimated Impact213
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [WS 4 - Q2 - metho...] [2007-11-29 10:26:12] [7071e8240f1069aec69cdda95d3fa1f8] [Current]
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Dataseries X:
100,6
101,2
93,1
84,2
85,8
91,8
92,4
80,3
79,7
62,5
57,1
100,8
100,7
86,2
83,2
71,7
77,5
89,8
80,3
78,7
93,8
57,6
60,6
91
85,3
77,4
77,3
68,3
69,9
81,7
75,1
69,9
84
54,3
60
89,9
77
85,3
77,6
69,2
75,5
85,7
72,2
79,9
85,3
52,2
61,2
82,4
85,4
78,2
70,2
70,2
69,3
77,5
66,1
69
79,2
58,2
64,5
76,4




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7375&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7375&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7375&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
10.2081611.44220.077873
20.1557421.0790.142987
30.2298661.59260.058912
4-0.091995-0.63740.736541
50.0687610.47640.31798
60.0215740.14950.440906
7-0.098793-0.68450.751511
80.0606110.41990.338207
9-0.051415-0.35620.638378
10-0.003748-0.0260.510304
11-0.010892-0.07550.529919
12-0.217817-1.50910.931083
13-0.085052-0.58930.720774
14-0.002692-0.01870.507403
15-0.040372-0.27970.609548
16-0.144278-0.99960.838739
170.069870.48410.315266
180.0672250.46570.321752
19-0.082745-0.57330.715432
200.009350.06480.474311
210.0736450.51020.306115
22-0.105684-0.73220.766197
230.1001990.69420.245452
24-0.042541-0.29470.615266
25-0.142777-0.98920.836234
26-0.002426-0.01680.50667
27-0.150759-1.04450.849254
28-0.027563-0.1910.575319
29-0.019033-0.13190.55218
30-0.162358-1.12480.866876
310.0773570.53590.297237
32-0.029122-0.20180.579523
33-0.202211-1.4010.916171
34-0.058175-0.4030.655649
35-0.074744-0.51780.696525
360.0425040.29450.384832
370.1188310.82330.20721
380.0773050.53560.297358
390.0099380.06890.472697
400.0450680.31220.378106
410.0347910.2410.405275
42-0.013553-0.09390.537209
43-0.050883-0.35250.637006
44-0.0671-0.46490.677941
45-0.013504-0.09360.537077
460.0258080.17880.429421
47-0.004375-0.03030.512027
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.208161 & 1.4422 & 0.077873 \tabularnewline
2 & 0.155742 & 1.079 & 0.142987 \tabularnewline
3 & 0.229866 & 1.5926 & 0.058912 \tabularnewline
4 & -0.091995 & -0.6374 & 0.736541 \tabularnewline
5 & 0.068761 & 0.4764 & 0.31798 \tabularnewline
6 & 0.021574 & 0.1495 & 0.440906 \tabularnewline
7 & -0.098793 & -0.6845 & 0.751511 \tabularnewline
8 & 0.060611 & 0.4199 & 0.338207 \tabularnewline
9 & -0.051415 & -0.3562 & 0.638378 \tabularnewline
10 & -0.003748 & -0.026 & 0.510304 \tabularnewline
11 & -0.010892 & -0.0755 & 0.529919 \tabularnewline
12 & -0.217817 & -1.5091 & 0.931083 \tabularnewline
13 & -0.085052 & -0.5893 & 0.720774 \tabularnewline
14 & -0.002692 & -0.0187 & 0.507403 \tabularnewline
15 & -0.040372 & -0.2797 & 0.609548 \tabularnewline
16 & -0.144278 & -0.9996 & 0.838739 \tabularnewline
17 & 0.06987 & 0.4841 & 0.315266 \tabularnewline
18 & 0.067225 & 0.4657 & 0.321752 \tabularnewline
19 & -0.082745 & -0.5733 & 0.715432 \tabularnewline
20 & 0.00935 & 0.0648 & 0.474311 \tabularnewline
21 & 0.073645 & 0.5102 & 0.306115 \tabularnewline
22 & -0.105684 & -0.7322 & 0.766197 \tabularnewline
23 & 0.100199 & 0.6942 & 0.245452 \tabularnewline
24 & -0.042541 & -0.2947 & 0.615266 \tabularnewline
25 & -0.142777 & -0.9892 & 0.836234 \tabularnewline
26 & -0.002426 & -0.0168 & 0.50667 \tabularnewline
27 & -0.150759 & -1.0445 & 0.849254 \tabularnewline
28 & -0.027563 & -0.191 & 0.575319 \tabularnewline
29 & -0.019033 & -0.1319 & 0.55218 \tabularnewline
30 & -0.162358 & -1.1248 & 0.866876 \tabularnewline
31 & 0.077357 & 0.5359 & 0.297237 \tabularnewline
32 & -0.029122 & -0.2018 & 0.579523 \tabularnewline
33 & -0.202211 & -1.401 & 0.916171 \tabularnewline
34 & -0.058175 & -0.403 & 0.655649 \tabularnewline
35 & -0.074744 & -0.5178 & 0.696525 \tabularnewline
36 & 0.042504 & 0.2945 & 0.384832 \tabularnewline
37 & 0.118831 & 0.8233 & 0.20721 \tabularnewline
38 & 0.077305 & 0.5356 & 0.297358 \tabularnewline
39 & 0.009938 & 0.0689 & 0.472697 \tabularnewline
40 & 0.045068 & 0.3122 & 0.378106 \tabularnewline
41 & 0.034791 & 0.241 & 0.405275 \tabularnewline
42 & -0.013553 & -0.0939 & 0.537209 \tabularnewline
43 & -0.050883 & -0.3525 & 0.637006 \tabularnewline
44 & -0.0671 & -0.4649 & 0.677941 \tabularnewline
45 & -0.013504 & -0.0936 & 0.537077 \tabularnewline
46 & 0.025808 & 0.1788 & 0.429421 \tabularnewline
47 & -0.004375 & -0.0303 & 0.512027 \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7375&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]0[/C][C]1[/C][C]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.208161[/C][C]1.4422[/C][C]0.077873[/C][/ROW]
[ROW][C]2[/C][C]0.155742[/C][C]1.079[/C][C]0.142987[/C][/ROW]
[ROW][C]3[/C][C]0.229866[/C][C]1.5926[/C][C]0.058912[/C][/ROW]
[ROW][C]4[/C][C]-0.091995[/C][C]-0.6374[/C][C]0.736541[/C][/ROW]
[ROW][C]5[/C][C]0.068761[/C][C]0.4764[/C][C]0.31798[/C][/ROW]
[ROW][C]6[/C][C]0.021574[/C][C]0.1495[/C][C]0.440906[/C][/ROW]
[ROW][C]7[/C][C]-0.098793[/C][C]-0.6845[/C][C]0.751511[/C][/ROW]
[ROW][C]8[/C][C]0.060611[/C][C]0.4199[/C][C]0.338207[/C][/ROW]
[ROW][C]9[/C][C]-0.051415[/C][C]-0.3562[/C][C]0.638378[/C][/ROW]
[ROW][C]10[/C][C]-0.003748[/C][C]-0.026[/C][C]0.510304[/C][/ROW]
[ROW][C]11[/C][C]-0.010892[/C][C]-0.0755[/C][C]0.529919[/C][/ROW]
[ROW][C]12[/C][C]-0.217817[/C][C]-1.5091[/C][C]0.931083[/C][/ROW]
[ROW][C]13[/C][C]-0.085052[/C][C]-0.5893[/C][C]0.720774[/C][/ROW]
[ROW][C]14[/C][C]-0.002692[/C][C]-0.0187[/C][C]0.507403[/C][/ROW]
[ROW][C]15[/C][C]-0.040372[/C][C]-0.2797[/C][C]0.609548[/C][/ROW]
[ROW][C]16[/C][C]-0.144278[/C][C]-0.9996[/C][C]0.838739[/C][/ROW]
[ROW][C]17[/C][C]0.06987[/C][C]0.4841[/C][C]0.315266[/C][/ROW]
[ROW][C]18[/C][C]0.067225[/C][C]0.4657[/C][C]0.321752[/C][/ROW]
[ROW][C]19[/C][C]-0.082745[/C][C]-0.5733[/C][C]0.715432[/C][/ROW]
[ROW][C]20[/C][C]0.00935[/C][C]0.0648[/C][C]0.474311[/C][/ROW]
[ROW][C]21[/C][C]0.073645[/C][C]0.5102[/C][C]0.306115[/C][/ROW]
[ROW][C]22[/C][C]-0.105684[/C][C]-0.7322[/C][C]0.766197[/C][/ROW]
[ROW][C]23[/C][C]0.100199[/C][C]0.6942[/C][C]0.245452[/C][/ROW]
[ROW][C]24[/C][C]-0.042541[/C][C]-0.2947[/C][C]0.615266[/C][/ROW]
[ROW][C]25[/C][C]-0.142777[/C][C]-0.9892[/C][C]0.836234[/C][/ROW]
[ROW][C]26[/C][C]-0.002426[/C][C]-0.0168[/C][C]0.50667[/C][/ROW]
[ROW][C]27[/C][C]-0.150759[/C][C]-1.0445[/C][C]0.849254[/C][/ROW]
[ROW][C]28[/C][C]-0.027563[/C][C]-0.191[/C][C]0.575319[/C][/ROW]
[ROW][C]29[/C][C]-0.019033[/C][C]-0.1319[/C][C]0.55218[/C][/ROW]
[ROW][C]30[/C][C]-0.162358[/C][C]-1.1248[/C][C]0.866876[/C][/ROW]
[ROW][C]31[/C][C]0.077357[/C][C]0.5359[/C][C]0.297237[/C][/ROW]
[ROW][C]32[/C][C]-0.029122[/C][C]-0.2018[/C][C]0.579523[/C][/ROW]
[ROW][C]33[/C][C]-0.202211[/C][C]-1.401[/C][C]0.916171[/C][/ROW]
[ROW][C]34[/C][C]-0.058175[/C][C]-0.403[/C][C]0.655649[/C][/ROW]
[ROW][C]35[/C][C]-0.074744[/C][C]-0.5178[/C][C]0.696525[/C][/ROW]
[ROW][C]36[/C][C]0.042504[/C][C]0.2945[/C][C]0.384832[/C][/ROW]
[ROW][C]37[/C][C]0.118831[/C][C]0.8233[/C][C]0.20721[/C][/ROW]
[ROW][C]38[/C][C]0.077305[/C][C]0.5356[/C][C]0.297358[/C][/ROW]
[ROW][C]39[/C][C]0.009938[/C][C]0.0689[/C][C]0.472697[/C][/ROW]
[ROW][C]40[/C][C]0.045068[/C][C]0.3122[/C][C]0.378106[/C][/ROW]
[ROW][C]41[/C][C]0.034791[/C][C]0.241[/C][C]0.405275[/C][/ROW]
[ROW][C]42[/C][C]-0.013553[/C][C]-0.0939[/C][C]0.537209[/C][/ROW]
[ROW][C]43[/C][C]-0.050883[/C][C]-0.3525[/C][C]0.637006[/C][/ROW]
[ROW][C]44[/C][C]-0.0671[/C][C]-0.4649[/C][C]0.677941[/C][/ROW]
[ROW][C]45[/C][C]-0.013504[/C][C]-0.0936[/C][C]0.537077[/C][/ROW]
[ROW][C]46[/C][C]0.025808[/C][C]0.1788[/C][C]0.429421[/C][/ROW]
[ROW][C]47[/C][C]-0.004375[/C][C]-0.0303[/C][C]0.512027[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7375&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7375&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
016.92820
10.2081611.44220.077873
20.1557421.0790.142987
30.2298661.59260.058912
4-0.091995-0.63740.736541
50.0687610.47640.31798
60.0215740.14950.440906
7-0.098793-0.68450.751511
80.0606110.41990.338207
9-0.051415-0.35620.638378
10-0.003748-0.0260.510304
11-0.010892-0.07550.529919
12-0.217817-1.50910.931083
13-0.085052-0.58930.720774
14-0.002692-0.01870.507403
15-0.040372-0.27970.609548
16-0.144278-0.99960.838739
170.069870.48410.315266
180.0672250.46570.321752
19-0.082745-0.57330.715432
200.009350.06480.474311
210.0736450.51020.306115
22-0.105684-0.73220.766197
230.1001990.69420.245452
24-0.042541-0.29470.615266
25-0.142777-0.98920.836234
26-0.002426-0.01680.50667
27-0.150759-1.04450.849254
28-0.027563-0.1910.575319
29-0.019033-0.13190.55218
30-0.162358-1.12480.866876
310.0773570.53590.297237
32-0.029122-0.20180.579523
33-0.202211-1.4010.916171
34-0.058175-0.4030.655649
35-0.074744-0.51780.696525
360.0425040.29450.384832
370.1188310.82330.20721
380.0773050.53560.297358
390.0099380.06890.472697
400.0450680.31220.378106
410.0347910.2410.405275
42-0.013553-0.09390.537209
43-0.050883-0.35250.637006
44-0.0671-0.46490.677941
45-0.013504-0.09360.537077
460.0258080.17880.429421
47-0.004375-0.03030.512027
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.2081611.44220.077873
10.1175030.81410.209809
20.1873921.29830.100196
3-0.198946-1.37830.912755
40.081650.56570.287121
5-0.020486-0.14190.556135
6-0.056439-0.3910.651243
70.0460740.31920.375476
8-0.042417-0.29390.61494
90.0415390.28780.387372
10-0.067222-0.46570.678243
11-0.184969-1.28150.896914
12-0.028566-0.19790.578025
130.0923810.640.262596
140.0477160.33060.371199
15-0.236788-1.64050.946282
160.1765561.22320.11361
170.0958470.6640.254919
18-0.141341-0.97920.833813
19-0.081808-0.56680.713249
200.1946841.34880.091864
21-0.101551-0.70360.757448
220.0323740.22430.411741
23-0.127583-0.88390.809428
24-0.092074-0.63790.736718
250.0318340.22060.413187
26-0.074512-0.51620.695969
27-0.071599-0.4960.688938
280.0270540.18740.426054
290.0281110.19480.423203
30-0.003278-0.02270.509012
31-0.14296-0.99050.83654
32-0.065196-0.45170.673238
33-0.070488-0.48840.686238
340.0514160.35620.361617
350.1134270.78580.21791
360.0741910.5140.304802
37-0.040809-0.28270.610702
38-0.09063-0.62790.733478
390.0044430.03080.487784
40-0.020876-0.14460.557196
41-0.020637-0.1430.556546
42-0.029488-0.20430.580507
43-0.07962-0.55160.708116
440.0107570.07450.470451
45-0.057759-0.40020.654596
460.0288870.20010.421111
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.208161 & 1.4422 & 0.077873 \tabularnewline
1 & 0.117503 & 0.8141 & 0.209809 \tabularnewline
2 & 0.187392 & 1.2983 & 0.100196 \tabularnewline
3 & -0.198946 & -1.3783 & 0.912755 \tabularnewline
4 & 0.08165 & 0.5657 & 0.287121 \tabularnewline
5 & -0.020486 & -0.1419 & 0.556135 \tabularnewline
6 & -0.056439 & -0.391 & 0.651243 \tabularnewline
7 & 0.046074 & 0.3192 & 0.375476 \tabularnewline
8 & -0.042417 & -0.2939 & 0.61494 \tabularnewline
9 & 0.041539 & 0.2878 & 0.387372 \tabularnewline
10 & -0.067222 & -0.4657 & 0.678243 \tabularnewline
11 & -0.184969 & -1.2815 & 0.896914 \tabularnewline
12 & -0.028566 & -0.1979 & 0.578025 \tabularnewline
13 & 0.092381 & 0.64 & 0.262596 \tabularnewline
14 & 0.047716 & 0.3306 & 0.371199 \tabularnewline
15 & -0.236788 & -1.6405 & 0.946282 \tabularnewline
16 & 0.176556 & 1.2232 & 0.11361 \tabularnewline
17 & 0.095847 & 0.664 & 0.254919 \tabularnewline
18 & -0.141341 & -0.9792 & 0.833813 \tabularnewline
19 & -0.081808 & -0.5668 & 0.713249 \tabularnewline
20 & 0.194684 & 1.3488 & 0.091864 \tabularnewline
21 & -0.101551 & -0.7036 & 0.757448 \tabularnewline
22 & 0.032374 & 0.2243 & 0.411741 \tabularnewline
23 & -0.127583 & -0.8839 & 0.809428 \tabularnewline
24 & -0.092074 & -0.6379 & 0.736718 \tabularnewline
25 & 0.031834 & 0.2206 & 0.413187 \tabularnewline
26 & -0.074512 & -0.5162 & 0.695969 \tabularnewline
27 & -0.071599 & -0.496 & 0.688938 \tabularnewline
28 & 0.027054 & 0.1874 & 0.426054 \tabularnewline
29 & 0.028111 & 0.1948 & 0.423203 \tabularnewline
30 & -0.003278 & -0.0227 & 0.509012 \tabularnewline
31 & -0.14296 & -0.9905 & 0.83654 \tabularnewline
32 & -0.065196 & -0.4517 & 0.673238 \tabularnewline
33 & -0.070488 & -0.4884 & 0.686238 \tabularnewline
34 & 0.051416 & 0.3562 & 0.361617 \tabularnewline
35 & 0.113427 & 0.7858 & 0.21791 \tabularnewline
36 & 0.074191 & 0.514 & 0.304802 \tabularnewline
37 & -0.040809 & -0.2827 & 0.610702 \tabularnewline
38 & -0.09063 & -0.6279 & 0.733478 \tabularnewline
39 & 0.004443 & 0.0308 & 0.487784 \tabularnewline
40 & -0.020876 & -0.1446 & 0.557196 \tabularnewline
41 & -0.020637 & -0.143 & 0.556546 \tabularnewline
42 & -0.029488 & -0.2043 & 0.580507 \tabularnewline
43 & -0.07962 & -0.5516 & 0.708116 \tabularnewline
44 & 0.010757 & 0.0745 & 0.470451 \tabularnewline
45 & -0.057759 & -0.4002 & 0.654596 \tabularnewline
46 & 0.028887 & 0.2001 & 0.421111 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7375&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]0[/C][C]0.208161[/C][C]1.4422[/C][C]0.077873[/C][/ROW]
[ROW][C]1[/C][C]0.117503[/C][C]0.8141[/C][C]0.209809[/C][/ROW]
[ROW][C]2[/C][C]0.187392[/C][C]1.2983[/C][C]0.100196[/C][/ROW]
[ROW][C]3[/C][C]-0.198946[/C][C]-1.3783[/C][C]0.912755[/C][/ROW]
[ROW][C]4[/C][C]0.08165[/C][C]0.5657[/C][C]0.287121[/C][/ROW]
[ROW][C]5[/C][C]-0.020486[/C][C]-0.1419[/C][C]0.556135[/C][/ROW]
[ROW][C]6[/C][C]-0.056439[/C][C]-0.391[/C][C]0.651243[/C][/ROW]
[ROW][C]7[/C][C]0.046074[/C][C]0.3192[/C][C]0.375476[/C][/ROW]
[ROW][C]8[/C][C]-0.042417[/C][C]-0.2939[/C][C]0.61494[/C][/ROW]
[ROW][C]9[/C][C]0.041539[/C][C]0.2878[/C][C]0.387372[/C][/ROW]
[ROW][C]10[/C][C]-0.067222[/C][C]-0.4657[/C][C]0.678243[/C][/ROW]
[ROW][C]11[/C][C]-0.184969[/C][C]-1.2815[/C][C]0.896914[/C][/ROW]
[ROW][C]12[/C][C]-0.028566[/C][C]-0.1979[/C][C]0.578025[/C][/ROW]
[ROW][C]13[/C][C]0.092381[/C][C]0.64[/C][C]0.262596[/C][/ROW]
[ROW][C]14[/C][C]0.047716[/C][C]0.3306[/C][C]0.371199[/C][/ROW]
[ROW][C]15[/C][C]-0.236788[/C][C]-1.6405[/C][C]0.946282[/C][/ROW]
[ROW][C]16[/C][C]0.176556[/C][C]1.2232[/C][C]0.11361[/C][/ROW]
[ROW][C]17[/C][C]0.095847[/C][C]0.664[/C][C]0.254919[/C][/ROW]
[ROW][C]18[/C][C]-0.141341[/C][C]-0.9792[/C][C]0.833813[/C][/ROW]
[ROW][C]19[/C][C]-0.081808[/C][C]-0.5668[/C][C]0.713249[/C][/ROW]
[ROW][C]20[/C][C]0.194684[/C][C]1.3488[/C][C]0.091864[/C][/ROW]
[ROW][C]21[/C][C]-0.101551[/C][C]-0.7036[/C][C]0.757448[/C][/ROW]
[ROW][C]22[/C][C]0.032374[/C][C]0.2243[/C][C]0.411741[/C][/ROW]
[ROW][C]23[/C][C]-0.127583[/C][C]-0.8839[/C][C]0.809428[/C][/ROW]
[ROW][C]24[/C][C]-0.092074[/C][C]-0.6379[/C][C]0.736718[/C][/ROW]
[ROW][C]25[/C][C]0.031834[/C][C]0.2206[/C][C]0.413187[/C][/ROW]
[ROW][C]26[/C][C]-0.074512[/C][C]-0.5162[/C][C]0.695969[/C][/ROW]
[ROW][C]27[/C][C]-0.071599[/C][C]-0.496[/C][C]0.688938[/C][/ROW]
[ROW][C]28[/C][C]0.027054[/C][C]0.1874[/C][C]0.426054[/C][/ROW]
[ROW][C]29[/C][C]0.028111[/C][C]0.1948[/C][C]0.423203[/C][/ROW]
[ROW][C]30[/C][C]-0.003278[/C][C]-0.0227[/C][C]0.509012[/C][/ROW]
[ROW][C]31[/C][C]-0.14296[/C][C]-0.9905[/C][C]0.83654[/C][/ROW]
[ROW][C]32[/C][C]-0.065196[/C][C]-0.4517[/C][C]0.673238[/C][/ROW]
[ROW][C]33[/C][C]-0.070488[/C][C]-0.4884[/C][C]0.686238[/C][/ROW]
[ROW][C]34[/C][C]0.051416[/C][C]0.3562[/C][C]0.361617[/C][/ROW]
[ROW][C]35[/C][C]0.113427[/C][C]0.7858[/C][C]0.21791[/C][/ROW]
[ROW][C]36[/C][C]0.074191[/C][C]0.514[/C][C]0.304802[/C][/ROW]
[ROW][C]37[/C][C]-0.040809[/C][C]-0.2827[/C][C]0.610702[/C][/ROW]
[ROW][C]38[/C][C]-0.09063[/C][C]-0.6279[/C][C]0.733478[/C][/ROW]
[ROW][C]39[/C][C]0.004443[/C][C]0.0308[/C][C]0.487784[/C][/ROW]
[ROW][C]40[/C][C]-0.020876[/C][C]-0.1446[/C][C]0.557196[/C][/ROW]
[ROW][C]41[/C][C]-0.020637[/C][C]-0.143[/C][C]0.556546[/C][/ROW]
[ROW][C]42[/C][C]-0.029488[/C][C]-0.2043[/C][C]0.580507[/C][/ROW]
[ROW][C]43[/C][C]-0.07962[/C][C]-0.5516[/C][C]0.708116[/C][/ROW]
[ROW][C]44[/C][C]0.010757[/C][C]0.0745[/C][C]0.470451[/C][/ROW]
[ROW][C]45[/C][C]-0.057759[/C][C]-0.4002[/C][C]0.654596[/C][/ROW]
[ROW][C]46[/C][C]0.028887[/C][C]0.2001[/C][C]0.421111[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7375&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7375&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
00.2081611.44220.077873
10.1175030.81410.209809
20.1873921.29830.100196
3-0.198946-1.37830.912755
40.081650.56570.287121
5-0.020486-0.14190.556135
6-0.056439-0.3910.651243
70.0460740.31920.375476
8-0.042417-0.29390.61494
90.0415390.28780.387372
10-0.067222-0.46570.678243
11-0.184969-1.28150.896914
12-0.028566-0.19790.578025
130.0923810.640.262596
140.0477160.33060.371199
15-0.236788-1.64050.946282
160.1765561.22320.11361
170.0958470.6640.254919
18-0.141341-0.97920.833813
19-0.081808-0.56680.713249
200.1946841.34880.091864
21-0.101551-0.70360.757448
220.0323740.22430.411741
23-0.127583-0.88390.809428
24-0.092074-0.63790.736718
250.0318340.22060.413187
26-0.074512-0.51620.695969
27-0.071599-0.4960.688938
280.0270540.18740.426054
290.0281110.19480.423203
30-0.003278-0.02270.509012
31-0.14296-0.99050.83654
32-0.065196-0.45170.673238
33-0.070488-0.48840.686238
340.0514160.35620.361617
350.1134270.78580.21791
360.0741910.5140.304802
37-0.040809-0.28270.610702
38-0.09063-0.62790.733478
390.0044430.03080.487784
40-0.020876-0.14460.557196
41-0.020637-0.1430.556546
42-0.029488-0.20430.580507
43-0.07962-0.55160.708116
440.0107570.07450.470451
45-0.057759-0.40020.654596
460.0288870.20010.421111
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')