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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 03:39:30 -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/t1229596906r37bi6h47jtmm7p.htm/, Retrieved Sun, 12 May 2024 08:04:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34635, Retrieved Sun, 12 May 2024 08:04:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelation F...] [2008-12-12 14:01:57] [1ce0d16c8f4225c977b42c8fa93bc163]
-   P     [(Partial) Autocorrelation Function] [Autocorrelation F...] [2008-12-18 10:39:30] [8758b22b4a10c08c31202f233362e983] [Current]
-           [(Partial) Autocorrelation Function] [1] [2008-12-22 16:26:20] [76963dc1903f0f612b6153510a3818cf]
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Dataseries X:
492865
480961
461935
456608
441977
439148
488180
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34635&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34635&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34635&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9363368.10890
20.836217.24180
30.7510246.50410
40.6999026.06130
50.6837975.92190
60.6612525.72660
70.6236595.4010
80.5866835.08081e-06
90.5789725.0142e-06
100.6054125.2431e-06
110.6455175.59030
120.6552275.67440
130.578495.00992e-06
140.4755854.11874.9e-05
150.381283.3020.000736
160.3141342.72050.004049
170.2786172.41290.009135
180.2381512.06240.021314
190.1892861.63930.052674
200.1426271.23520.110309
210.1252821.0850.140705
220.1415711.2260.11201
230.1681111.45590.074799
240.165481.43310.077993
250.0941010.81490.208844
260.0085360.07390.470634
27-0.065504-0.56730.28611
28-0.119192-1.03220.15264
29-0.148479-1.28590.101223
30-0.184042-1.59390.057587
31-0.22328-1.93370.028464
32-0.259688-2.2490.013725
33-0.27358-2.36930.010199
34-0.25478-2.20650.015206
35-0.22523-1.95050.027424
36-0.218951-1.89620.030894
37-0.261758-2.26690.01314
38-0.316596-2.74180.003818
39-0.364758-3.15890.001142
40-0.392421-3.39850.000544
41-0.401195-3.47450.000427
42-0.412624-3.57340.00031
43-0.422611-3.65990.000233
44-0.431298-3.73510.000182
45-0.421869-3.65350.000238
46-0.386081-3.34360.000647
47-0.34577-2.99450.001861
48-0.323187-2.79890.003258
49-0.333022-2.88410.002561
50-0.351196-3.04140.001621
51-0.366967-3.1780.001077
52-0.372407-3.22510.000933
53-0.366926-3.17770.001078
54-0.364471-3.15640.00115
55-0.358252-3.10250.001352
56-0.348102-3.01470.001755
57-0.325909-2.82250.003049
58-0.28592-2.47610.007768
59-0.24491-2.1210.018614
60-0.215508-1.86640.03295

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.936336 & 8.1089 & 0 \tabularnewline
2 & 0.83621 & 7.2418 & 0 \tabularnewline
3 & 0.751024 & 6.5041 & 0 \tabularnewline
4 & 0.699902 & 6.0613 & 0 \tabularnewline
5 & 0.683797 & 5.9219 & 0 \tabularnewline
6 & 0.661252 & 5.7266 & 0 \tabularnewline
7 & 0.623659 & 5.401 & 0 \tabularnewline
8 & 0.586683 & 5.0808 & 1e-06 \tabularnewline
9 & 0.578972 & 5.014 & 2e-06 \tabularnewline
10 & 0.605412 & 5.243 & 1e-06 \tabularnewline
11 & 0.645517 & 5.5903 & 0 \tabularnewline
12 & 0.655227 & 5.6744 & 0 \tabularnewline
13 & 0.57849 & 5.0099 & 2e-06 \tabularnewline
14 & 0.475585 & 4.1187 & 4.9e-05 \tabularnewline
15 & 0.38128 & 3.302 & 0.000736 \tabularnewline
16 & 0.314134 & 2.7205 & 0.004049 \tabularnewline
17 & 0.278617 & 2.4129 & 0.009135 \tabularnewline
18 & 0.238151 & 2.0624 & 0.021314 \tabularnewline
19 & 0.189286 & 1.6393 & 0.052674 \tabularnewline
20 & 0.142627 & 1.2352 & 0.110309 \tabularnewline
21 & 0.125282 & 1.085 & 0.140705 \tabularnewline
22 & 0.141571 & 1.226 & 0.11201 \tabularnewline
23 & 0.168111 & 1.4559 & 0.074799 \tabularnewline
24 & 0.16548 & 1.4331 & 0.077993 \tabularnewline
25 & 0.094101 & 0.8149 & 0.208844 \tabularnewline
26 & 0.008536 & 0.0739 & 0.470634 \tabularnewline
27 & -0.065504 & -0.5673 & 0.28611 \tabularnewline
28 & -0.119192 & -1.0322 & 0.15264 \tabularnewline
29 & -0.148479 & -1.2859 & 0.101223 \tabularnewline
30 & -0.184042 & -1.5939 & 0.057587 \tabularnewline
31 & -0.22328 & -1.9337 & 0.028464 \tabularnewline
32 & -0.259688 & -2.249 & 0.013725 \tabularnewline
33 & -0.27358 & -2.3693 & 0.010199 \tabularnewline
34 & -0.25478 & -2.2065 & 0.015206 \tabularnewline
35 & -0.22523 & -1.9505 & 0.027424 \tabularnewline
36 & -0.218951 & -1.8962 & 0.030894 \tabularnewline
37 & -0.261758 & -2.2669 & 0.01314 \tabularnewline
38 & -0.316596 & -2.7418 & 0.003818 \tabularnewline
39 & -0.364758 & -3.1589 & 0.001142 \tabularnewline
40 & -0.392421 & -3.3985 & 0.000544 \tabularnewline
41 & -0.401195 & -3.4745 & 0.000427 \tabularnewline
42 & -0.412624 & -3.5734 & 0.00031 \tabularnewline
43 & -0.422611 & -3.6599 & 0.000233 \tabularnewline
44 & -0.431298 & -3.7351 & 0.000182 \tabularnewline
45 & -0.421869 & -3.6535 & 0.000238 \tabularnewline
46 & -0.386081 & -3.3436 & 0.000647 \tabularnewline
47 & -0.34577 & -2.9945 & 0.001861 \tabularnewline
48 & -0.323187 & -2.7989 & 0.003258 \tabularnewline
49 & -0.333022 & -2.8841 & 0.002561 \tabularnewline
50 & -0.351196 & -3.0414 & 0.001621 \tabularnewline
51 & -0.366967 & -3.178 & 0.001077 \tabularnewline
52 & -0.372407 & -3.2251 & 0.000933 \tabularnewline
53 & -0.366926 & -3.1777 & 0.001078 \tabularnewline
54 & -0.364471 & -3.1564 & 0.00115 \tabularnewline
55 & -0.358252 & -3.1025 & 0.001352 \tabularnewline
56 & -0.348102 & -3.0147 & 0.001755 \tabularnewline
57 & -0.325909 & -2.8225 & 0.003049 \tabularnewline
58 & -0.28592 & -2.4761 & 0.007768 \tabularnewline
59 & -0.24491 & -2.121 & 0.018614 \tabularnewline
60 & -0.215508 & -1.8664 & 0.03295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34635&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]0.936336[/C][C]8.1089[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.83621[/C][C]7.2418[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.751024[/C][C]6.5041[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.699902[/C][C]6.0613[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.683797[/C][C]5.9219[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.661252[/C][C]5.7266[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.623659[/C][C]5.401[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.586683[/C][C]5.0808[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.578972[/C][C]5.014[/C][C]2e-06[/C][/ROW]
[ROW][C]10[/C][C]0.605412[/C][C]5.243[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.645517[/C][C]5.5903[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.655227[/C][C]5.6744[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.57849[/C][C]5.0099[/C][C]2e-06[/C][/ROW]
[ROW][C]14[/C][C]0.475585[/C][C]4.1187[/C][C]4.9e-05[/C][/ROW]
[ROW][C]15[/C][C]0.38128[/C][C]3.302[/C][C]0.000736[/C][/ROW]
[ROW][C]16[/C][C]0.314134[/C][C]2.7205[/C][C]0.004049[/C][/ROW]
[ROW][C]17[/C][C]0.278617[/C][C]2.4129[/C][C]0.009135[/C][/ROW]
[ROW][C]18[/C][C]0.238151[/C][C]2.0624[/C][C]0.021314[/C][/ROW]
[ROW][C]19[/C][C]0.189286[/C][C]1.6393[/C][C]0.052674[/C][/ROW]
[ROW][C]20[/C][C]0.142627[/C][C]1.2352[/C][C]0.110309[/C][/ROW]
[ROW][C]21[/C][C]0.125282[/C][C]1.085[/C][C]0.140705[/C][/ROW]
[ROW][C]22[/C][C]0.141571[/C][C]1.226[/C][C]0.11201[/C][/ROW]
[ROW][C]23[/C][C]0.168111[/C][C]1.4559[/C][C]0.074799[/C][/ROW]
[ROW][C]24[/C][C]0.16548[/C][C]1.4331[/C][C]0.077993[/C][/ROW]
[ROW][C]25[/C][C]0.094101[/C][C]0.8149[/C][C]0.208844[/C][/ROW]
[ROW][C]26[/C][C]0.008536[/C][C]0.0739[/C][C]0.470634[/C][/ROW]
[ROW][C]27[/C][C]-0.065504[/C][C]-0.5673[/C][C]0.28611[/C][/ROW]
[ROW][C]28[/C][C]-0.119192[/C][C]-1.0322[/C][C]0.15264[/C][/ROW]
[ROW][C]29[/C][C]-0.148479[/C][C]-1.2859[/C][C]0.101223[/C][/ROW]
[ROW][C]30[/C][C]-0.184042[/C][C]-1.5939[/C][C]0.057587[/C][/ROW]
[ROW][C]31[/C][C]-0.22328[/C][C]-1.9337[/C][C]0.028464[/C][/ROW]
[ROW][C]32[/C][C]-0.259688[/C][C]-2.249[/C][C]0.013725[/C][/ROW]
[ROW][C]33[/C][C]-0.27358[/C][C]-2.3693[/C][C]0.010199[/C][/ROW]
[ROW][C]34[/C][C]-0.25478[/C][C]-2.2065[/C][C]0.015206[/C][/ROW]
[ROW][C]35[/C][C]-0.22523[/C][C]-1.9505[/C][C]0.027424[/C][/ROW]
[ROW][C]36[/C][C]-0.218951[/C][C]-1.8962[/C][C]0.030894[/C][/ROW]
[ROW][C]37[/C][C]-0.261758[/C][C]-2.2669[/C][C]0.01314[/C][/ROW]
[ROW][C]38[/C][C]-0.316596[/C][C]-2.7418[/C][C]0.003818[/C][/ROW]
[ROW][C]39[/C][C]-0.364758[/C][C]-3.1589[/C][C]0.001142[/C][/ROW]
[ROW][C]40[/C][C]-0.392421[/C][C]-3.3985[/C][C]0.000544[/C][/ROW]
[ROW][C]41[/C][C]-0.401195[/C][C]-3.4745[/C][C]0.000427[/C][/ROW]
[ROW][C]42[/C][C]-0.412624[/C][C]-3.5734[/C][C]0.00031[/C][/ROW]
[ROW][C]43[/C][C]-0.422611[/C][C]-3.6599[/C][C]0.000233[/C][/ROW]
[ROW][C]44[/C][C]-0.431298[/C][C]-3.7351[/C][C]0.000182[/C][/ROW]
[ROW][C]45[/C][C]-0.421869[/C][C]-3.6535[/C][C]0.000238[/C][/ROW]
[ROW][C]46[/C][C]-0.386081[/C][C]-3.3436[/C][C]0.000647[/C][/ROW]
[ROW][C]47[/C][C]-0.34577[/C][C]-2.9945[/C][C]0.001861[/C][/ROW]
[ROW][C]48[/C][C]-0.323187[/C][C]-2.7989[/C][C]0.003258[/C][/ROW]
[ROW][C]49[/C][C]-0.333022[/C][C]-2.8841[/C][C]0.002561[/C][/ROW]
[ROW][C]50[/C][C]-0.351196[/C][C]-3.0414[/C][C]0.001621[/C][/ROW]
[ROW][C]51[/C][C]-0.366967[/C][C]-3.178[/C][C]0.001077[/C][/ROW]
[ROW][C]52[/C][C]-0.372407[/C][C]-3.2251[/C][C]0.000933[/C][/ROW]
[ROW][C]53[/C][C]-0.366926[/C][C]-3.1777[/C][C]0.001078[/C][/ROW]
[ROW][C]54[/C][C]-0.364471[/C][C]-3.1564[/C][C]0.00115[/C][/ROW]
[ROW][C]55[/C][C]-0.358252[/C][C]-3.1025[/C][C]0.001352[/C][/ROW]
[ROW][C]56[/C][C]-0.348102[/C][C]-3.0147[/C][C]0.001755[/C][/ROW]
[ROW][C]57[/C][C]-0.325909[/C][C]-2.8225[/C][C]0.003049[/C][/ROW]
[ROW][C]58[/C][C]-0.28592[/C][C]-2.4761[/C][C]0.007768[/C][/ROW]
[ROW][C]59[/C][C]-0.24491[/C][C]-2.121[/C][C]0.018614[/C][/ROW]
[ROW][C]60[/C][C]-0.215508[/C][C]-1.8664[/C][C]0.03295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34635&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34635&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
10.9363368.10890
20.836217.24180
30.7510246.50410
40.6999026.06130
50.6837975.92190
60.6612525.72660
70.6236595.4010
80.5866835.08081e-06
90.5789725.0142e-06
100.6054125.2431e-06
110.6455175.59030
120.6552275.67440
130.578495.00992e-06
140.4755854.11874.9e-05
150.381283.3020.000736
160.3141342.72050.004049
170.2786172.41290.009135
180.2381512.06240.021314
190.1892861.63930.052674
200.1426271.23520.110309
210.1252821.0850.140705
220.1415711.2260.11201
230.1681111.45590.074799
240.165481.43310.077993
250.0941010.81490.208844
260.0085360.07390.470634
27-0.065504-0.56730.28611
28-0.119192-1.03220.15264
29-0.148479-1.28590.101223
30-0.184042-1.59390.057587
31-0.22328-1.93370.028464
32-0.259688-2.2490.013725
33-0.27358-2.36930.010199
34-0.25478-2.20650.015206
35-0.22523-1.95050.027424
36-0.218951-1.89620.030894
37-0.261758-2.26690.01314
38-0.316596-2.74180.003818
39-0.364758-3.15890.001142
40-0.392421-3.39850.000544
41-0.401195-3.47450.000427
42-0.412624-3.57340.00031
43-0.422611-3.65990.000233
44-0.431298-3.73510.000182
45-0.421869-3.65350.000238
46-0.386081-3.34360.000647
47-0.34577-2.99450.001861
48-0.323187-2.79890.003258
49-0.333022-2.88410.002561
50-0.351196-3.04140.001621
51-0.366967-3.1780.001077
52-0.372407-3.22510.000933
53-0.366926-3.17770.001078
54-0.364471-3.15640.00115
55-0.358252-3.10250.001352
56-0.348102-3.01470.001755
57-0.325909-2.82250.003049
58-0.28592-2.47610.007768
59-0.24491-2.1210.018614
60-0.215508-1.86640.03295







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9363368.10890
2-0.328662-2.84630.002851
30.167831.45340.075135
40.1537171.33120.093573
50.1614311.3980.083111
6-0.165337-1.43190.07817
70.0183140.15860.437203
80.0935370.81010.210236
90.2410812.08780.020105
100.1195611.03540.151898
110.0902070.78120.218568
12-0.171042-1.48130.071362
13-0.575023-4.97982e-06
140.1056690.91510.18153
15-0.148375-1.2850.10138
16-0.051185-0.44330.329423
17-0.02912-0.25220.400792
180.0224820.19470.423077
190.0081630.07070.471914
20-0.053397-0.46240.322555
210.1116530.96690.168339
22-0.029039-0.25150.401063
23-0.016552-0.14330.443201
24-0.093623-0.81080.210024
25-0.113894-0.98640.163566
260.1104540.95660.170931
27-0.028644-0.24810.402382
28-0.066438-0.57540.283382
29-0.023942-0.20730.41815
300.020970.18160.42819
31-0.006571-0.05690.477387
32-0.095935-0.83080.204356
33-0.048941-0.42380.336448
340.0369450.320.374945
350.0047340.0410.483702
36-0.013555-0.11740.453433
370.0497510.43090.333904
38-0.042965-0.37210.355437
39-0.037512-0.32490.373095
400.0620830.53770.296204
41-0.055819-0.48340.315108
420.0796580.68990.246205
430.0195350.16920.433056
440.0012190.01060.495802
45-0.015872-0.13750.445521
46-0.001083-0.00940.496269
47-0.020422-0.17690.430047
48-0.010179-0.08820.464996
490.0645350.55890.288951
50-0.019371-0.16780.433614
51-0.015044-0.13030.448344
52-0.04609-0.39920.345458
53-0.008786-0.07610.469775
54-0.052244-0.45240.326128
550.0091730.07940.468446
560.0515930.44680.328151
57-0.080312-0.69550.244438
58-0.017641-0.15280.439493
590.0166760.14440.44278
600.0584650.50630.307059

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.936336 & 8.1089 & 0 \tabularnewline
2 & -0.328662 & -2.8463 & 0.002851 \tabularnewline
3 & 0.16783 & 1.4534 & 0.075135 \tabularnewline
4 & 0.153717 & 1.3312 & 0.093573 \tabularnewline
5 & 0.161431 & 1.398 & 0.083111 \tabularnewline
6 & -0.165337 & -1.4319 & 0.07817 \tabularnewline
7 & 0.018314 & 0.1586 & 0.437203 \tabularnewline
8 & 0.093537 & 0.8101 & 0.210236 \tabularnewline
9 & 0.241081 & 2.0878 & 0.020105 \tabularnewline
10 & 0.119561 & 1.0354 & 0.151898 \tabularnewline
11 & 0.090207 & 0.7812 & 0.218568 \tabularnewline
12 & -0.171042 & -1.4813 & 0.071362 \tabularnewline
13 & -0.575023 & -4.9798 & 2e-06 \tabularnewline
14 & 0.105669 & 0.9151 & 0.18153 \tabularnewline
15 & -0.148375 & -1.285 & 0.10138 \tabularnewline
16 & -0.051185 & -0.4433 & 0.329423 \tabularnewline
17 & -0.02912 & -0.2522 & 0.400792 \tabularnewline
18 & 0.022482 & 0.1947 & 0.423077 \tabularnewline
19 & 0.008163 & 0.0707 & 0.471914 \tabularnewline
20 & -0.053397 & -0.4624 & 0.322555 \tabularnewline
21 & 0.111653 & 0.9669 & 0.168339 \tabularnewline
22 & -0.029039 & -0.2515 & 0.401063 \tabularnewline
23 & -0.016552 & -0.1433 & 0.443201 \tabularnewline
24 & -0.093623 & -0.8108 & 0.210024 \tabularnewline
25 & -0.113894 & -0.9864 & 0.163566 \tabularnewline
26 & 0.110454 & 0.9566 & 0.170931 \tabularnewline
27 & -0.028644 & -0.2481 & 0.402382 \tabularnewline
28 & -0.066438 & -0.5754 & 0.283382 \tabularnewline
29 & -0.023942 & -0.2073 & 0.41815 \tabularnewline
30 & 0.02097 & 0.1816 & 0.42819 \tabularnewline
31 & -0.006571 & -0.0569 & 0.477387 \tabularnewline
32 & -0.095935 & -0.8308 & 0.204356 \tabularnewline
33 & -0.048941 & -0.4238 & 0.336448 \tabularnewline
34 & 0.036945 & 0.32 & 0.374945 \tabularnewline
35 & 0.004734 & 0.041 & 0.483702 \tabularnewline
36 & -0.013555 & -0.1174 & 0.453433 \tabularnewline
37 & 0.049751 & 0.4309 & 0.333904 \tabularnewline
38 & -0.042965 & -0.3721 & 0.355437 \tabularnewline
39 & -0.037512 & -0.3249 & 0.373095 \tabularnewline
40 & 0.062083 & 0.5377 & 0.296204 \tabularnewline
41 & -0.055819 & -0.4834 & 0.315108 \tabularnewline
42 & 0.079658 & 0.6899 & 0.246205 \tabularnewline
43 & 0.019535 & 0.1692 & 0.433056 \tabularnewline
44 & 0.001219 & 0.0106 & 0.495802 \tabularnewline
45 & -0.015872 & -0.1375 & 0.445521 \tabularnewline
46 & -0.001083 & -0.0094 & 0.496269 \tabularnewline
47 & -0.020422 & -0.1769 & 0.430047 \tabularnewline
48 & -0.010179 & -0.0882 & 0.464996 \tabularnewline
49 & 0.064535 & 0.5589 & 0.288951 \tabularnewline
50 & -0.019371 & -0.1678 & 0.433614 \tabularnewline
51 & -0.015044 & -0.1303 & 0.448344 \tabularnewline
52 & -0.04609 & -0.3992 & 0.345458 \tabularnewline
53 & -0.008786 & -0.0761 & 0.469775 \tabularnewline
54 & -0.052244 & -0.4524 & 0.326128 \tabularnewline
55 & 0.009173 & 0.0794 & 0.468446 \tabularnewline
56 & 0.051593 & 0.4468 & 0.328151 \tabularnewline
57 & -0.080312 & -0.6955 & 0.244438 \tabularnewline
58 & -0.017641 & -0.1528 & 0.439493 \tabularnewline
59 & 0.016676 & 0.1444 & 0.44278 \tabularnewline
60 & 0.058465 & 0.5063 & 0.307059 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34635&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]0.936336[/C][C]8.1089[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.328662[/C][C]-2.8463[/C][C]0.002851[/C][/ROW]
[ROW][C]3[/C][C]0.16783[/C][C]1.4534[/C][C]0.075135[/C][/ROW]
[ROW][C]4[/C][C]0.153717[/C][C]1.3312[/C][C]0.093573[/C][/ROW]
[ROW][C]5[/C][C]0.161431[/C][C]1.398[/C][C]0.083111[/C][/ROW]
[ROW][C]6[/C][C]-0.165337[/C][C]-1.4319[/C][C]0.07817[/C][/ROW]
[ROW][C]7[/C][C]0.018314[/C][C]0.1586[/C][C]0.437203[/C][/ROW]
[ROW][C]8[/C][C]0.093537[/C][C]0.8101[/C][C]0.210236[/C][/ROW]
[ROW][C]9[/C][C]0.241081[/C][C]2.0878[/C][C]0.020105[/C][/ROW]
[ROW][C]10[/C][C]0.119561[/C][C]1.0354[/C][C]0.151898[/C][/ROW]
[ROW][C]11[/C][C]0.090207[/C][C]0.7812[/C][C]0.218568[/C][/ROW]
[ROW][C]12[/C][C]-0.171042[/C][C]-1.4813[/C][C]0.071362[/C][/ROW]
[ROW][C]13[/C][C]-0.575023[/C][C]-4.9798[/C][C]2e-06[/C][/ROW]
[ROW][C]14[/C][C]0.105669[/C][C]0.9151[/C][C]0.18153[/C][/ROW]
[ROW][C]15[/C][C]-0.148375[/C][C]-1.285[/C][C]0.10138[/C][/ROW]
[ROW][C]16[/C][C]-0.051185[/C][C]-0.4433[/C][C]0.329423[/C][/ROW]
[ROW][C]17[/C][C]-0.02912[/C][C]-0.2522[/C][C]0.400792[/C][/ROW]
[ROW][C]18[/C][C]0.022482[/C][C]0.1947[/C][C]0.423077[/C][/ROW]
[ROW][C]19[/C][C]0.008163[/C][C]0.0707[/C][C]0.471914[/C][/ROW]
[ROW][C]20[/C][C]-0.053397[/C][C]-0.4624[/C][C]0.322555[/C][/ROW]
[ROW][C]21[/C][C]0.111653[/C][C]0.9669[/C][C]0.168339[/C][/ROW]
[ROW][C]22[/C][C]-0.029039[/C][C]-0.2515[/C][C]0.401063[/C][/ROW]
[ROW][C]23[/C][C]-0.016552[/C][C]-0.1433[/C][C]0.443201[/C][/ROW]
[ROW][C]24[/C][C]-0.093623[/C][C]-0.8108[/C][C]0.210024[/C][/ROW]
[ROW][C]25[/C][C]-0.113894[/C][C]-0.9864[/C][C]0.163566[/C][/ROW]
[ROW][C]26[/C][C]0.110454[/C][C]0.9566[/C][C]0.170931[/C][/ROW]
[ROW][C]27[/C][C]-0.028644[/C][C]-0.2481[/C][C]0.402382[/C][/ROW]
[ROW][C]28[/C][C]-0.066438[/C][C]-0.5754[/C][C]0.283382[/C][/ROW]
[ROW][C]29[/C][C]-0.023942[/C][C]-0.2073[/C][C]0.41815[/C][/ROW]
[ROW][C]30[/C][C]0.02097[/C][C]0.1816[/C][C]0.42819[/C][/ROW]
[ROW][C]31[/C][C]-0.006571[/C][C]-0.0569[/C][C]0.477387[/C][/ROW]
[ROW][C]32[/C][C]-0.095935[/C][C]-0.8308[/C][C]0.204356[/C][/ROW]
[ROW][C]33[/C][C]-0.048941[/C][C]-0.4238[/C][C]0.336448[/C][/ROW]
[ROW][C]34[/C][C]0.036945[/C][C]0.32[/C][C]0.374945[/C][/ROW]
[ROW][C]35[/C][C]0.004734[/C][C]0.041[/C][C]0.483702[/C][/ROW]
[ROW][C]36[/C][C]-0.013555[/C][C]-0.1174[/C][C]0.453433[/C][/ROW]
[ROW][C]37[/C][C]0.049751[/C][C]0.4309[/C][C]0.333904[/C][/ROW]
[ROW][C]38[/C][C]-0.042965[/C][C]-0.3721[/C][C]0.355437[/C][/ROW]
[ROW][C]39[/C][C]-0.037512[/C][C]-0.3249[/C][C]0.373095[/C][/ROW]
[ROW][C]40[/C][C]0.062083[/C][C]0.5377[/C][C]0.296204[/C][/ROW]
[ROW][C]41[/C][C]-0.055819[/C][C]-0.4834[/C][C]0.315108[/C][/ROW]
[ROW][C]42[/C][C]0.079658[/C][C]0.6899[/C][C]0.246205[/C][/ROW]
[ROW][C]43[/C][C]0.019535[/C][C]0.1692[/C][C]0.433056[/C][/ROW]
[ROW][C]44[/C][C]0.001219[/C][C]0.0106[/C][C]0.495802[/C][/ROW]
[ROW][C]45[/C][C]-0.015872[/C][C]-0.1375[/C][C]0.445521[/C][/ROW]
[ROW][C]46[/C][C]-0.001083[/C][C]-0.0094[/C][C]0.496269[/C][/ROW]
[ROW][C]47[/C][C]-0.020422[/C][C]-0.1769[/C][C]0.430047[/C][/ROW]
[ROW][C]48[/C][C]-0.010179[/C][C]-0.0882[/C][C]0.464996[/C][/ROW]
[ROW][C]49[/C][C]0.064535[/C][C]0.5589[/C][C]0.288951[/C][/ROW]
[ROW][C]50[/C][C]-0.019371[/C][C]-0.1678[/C][C]0.433614[/C][/ROW]
[ROW][C]51[/C][C]-0.015044[/C][C]-0.1303[/C][C]0.448344[/C][/ROW]
[ROW][C]52[/C][C]-0.04609[/C][C]-0.3992[/C][C]0.345458[/C][/ROW]
[ROW][C]53[/C][C]-0.008786[/C][C]-0.0761[/C][C]0.469775[/C][/ROW]
[ROW][C]54[/C][C]-0.052244[/C][C]-0.4524[/C][C]0.326128[/C][/ROW]
[ROW][C]55[/C][C]0.009173[/C][C]0.0794[/C][C]0.468446[/C][/ROW]
[ROW][C]56[/C][C]0.051593[/C][C]0.4468[/C][C]0.328151[/C][/ROW]
[ROW][C]57[/C][C]-0.080312[/C][C]-0.6955[/C][C]0.244438[/C][/ROW]
[ROW][C]58[/C][C]-0.017641[/C][C]-0.1528[/C][C]0.439493[/C][/ROW]
[ROW][C]59[/C][C]0.016676[/C][C]0.1444[/C][C]0.44278[/C][/ROW]
[ROW][C]60[/C][C]0.058465[/C][C]0.5063[/C][C]0.307059[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34635&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34635&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
10.9363368.10890
2-0.328662-2.84630.002851
30.167831.45340.075135
40.1537171.33120.093573
50.1614311.3980.083111
6-0.165337-1.43190.07817
70.0183140.15860.437203
80.0935370.81010.210236
90.2410812.08780.020105
100.1195611.03540.151898
110.0902070.78120.218568
12-0.171042-1.48130.071362
13-0.575023-4.97982e-06
140.1056690.91510.18153
15-0.148375-1.2850.10138
16-0.051185-0.44330.329423
17-0.02912-0.25220.400792
180.0224820.19470.423077
190.0081630.07070.471914
20-0.053397-0.46240.322555
210.1116530.96690.168339
22-0.029039-0.25150.401063
23-0.016552-0.14330.443201
24-0.093623-0.81080.210024
25-0.113894-0.98640.163566
260.1104540.95660.170931
27-0.028644-0.24810.402382
28-0.066438-0.57540.283382
29-0.023942-0.20730.41815
300.020970.18160.42819
31-0.006571-0.05690.477387
32-0.095935-0.83080.204356
33-0.048941-0.42380.336448
340.0369450.320.374945
350.0047340.0410.483702
36-0.013555-0.11740.453433
370.0497510.43090.333904
38-0.042965-0.37210.355437
39-0.037512-0.32490.373095
400.0620830.53770.296204
41-0.055819-0.48340.315108
420.0796580.68990.246205
430.0195350.16920.433056
440.0012190.01060.495802
45-0.015872-0.13750.445521
46-0.001083-0.00940.496269
47-0.020422-0.17690.430047
48-0.010179-0.08820.464996
490.0645350.55890.288951
50-0.019371-0.16780.433614
51-0.015044-0.13030.448344
52-0.04609-0.39920.345458
53-0.008786-0.07610.469775
54-0.052244-0.45240.326128
550.0091730.07940.468446
560.0515930.44680.328151
57-0.080312-0.69550.244438
58-0.017641-0.15280.439493
590.0166760.14440.44278
600.0584650.50630.307059



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')