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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 30 Nov 2007 07:35:08 -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/30/t1196432650415gab6ww5ocp7h.htm/, Retrieved Sun, 28 Apr 2024 17:45:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7707, Retrieved Sun, 28 Apr 2024 17:45:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop8_q1a] [2007-11-30 14:35:08] [1ea0754dc57274996703e6220e342fe8] [Current]
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Dataseries X:
48527
44446
46380
48950
38883
42928
37107
30186
32602
39892
32194
21629
59968
45694
55756
48554
41052
49822
39191
31994
35735
38930
33658
23849
58972
59249
63955
53785
52760
44795
37348
32370
32717
40974
33591
21124
58608
46865
51378
46235
47206
45382
41227
33795
31295
42625
33625
21538
56421
53152
53536
52408
41454
38271
35306
26414
31917
38030
27534
18387
50556
43901
48572
43899
37532
40357
35489
29027
34485
42598
30306
26451
47460
50104
61465
53726
39477
43895
31481
29896
33842
39120
33702
25094
51442
45594
52518
48564
41745
49585
32747
33379
35645
37034
35681
20972




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7707&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]2 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=7707&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7707&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
019.7980
10.3588933.51640.000335
20.155751.5260.065145
30.0490370.48050.315995
4-0.183934-1.80220.962672
5-0.315277-3.08910.998687
6-0.469839-4.60350.999994
7-0.344287-3.37330.999464
8-0.20416-2.00040.975857
9-0.02239-0.21940.586589
100.0548450.53740.296127
110.2547312.49580.007136
120.7864747.70580
130.2941492.88210.002437
140.1243831.21870.112972
150.0253680.24860.402117
16-0.163729-1.60420.944024
17-0.295181-2.89220.997634
18-0.417121-4.08690.999955
19-0.310596-3.04320.99849
20-0.185417-1.81670.963809
21-0.045211-0.4430.670611
220.0325180.31860.375359
230.2249482.2040.014956
240.6693736.55850
250.2669352.61540.005175
260.1110631.08820.139617
270.00920.09010.464181
28-0.133983-1.31280.903803
29-0.241133-2.36260.989918
30-0.355241-3.48060.999623
31-0.248544-2.43520.991636
32-0.140279-1.37440.913748
33-0.018577-0.1820.572023
340.0207630.20340.419614
350.1480181.45030.07512
360.5201095.0961e-06
370.2101492.0590.0211
380.0740530.72560.234934
390.0040820.040.484089
40-0.126745-1.24180.891339
41-0.195319-1.91370.970683
42-0.290426-2.84560.99729
43-0.201952-1.97870.974643
44-0.118171-1.15780.875098
45-0.027641-0.27080.606447
460.0251640.24660.402888
470.1208461.1840.119659
480.4347144.25932.4e-05
490.1855251.81780.036109
500.0682140.66840.252753
510.0136760.1340.446844
52-0.111357-1.09110.861014
53-0.149338-1.46320.926661
54-0.23737-2.32570.988931
55-0.164429-1.61110.944776
56-0.086785-0.85030.801367
57-0.019715-0.19320.576382
580.0067860.06650.473563
590.0746990.73190.233008

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.798 & 0 \tabularnewline
1 & 0.358893 & 3.5164 & 0.000335 \tabularnewline
2 & 0.15575 & 1.526 & 0.065145 \tabularnewline
3 & 0.049037 & 0.4805 & 0.315995 \tabularnewline
4 & -0.183934 & -1.8022 & 0.962672 \tabularnewline
5 & -0.315277 & -3.0891 & 0.998687 \tabularnewline
6 & -0.469839 & -4.6035 & 0.999994 \tabularnewline
7 & -0.344287 & -3.3733 & 0.999464 \tabularnewline
8 & -0.20416 & -2.0004 & 0.975857 \tabularnewline
9 & -0.02239 & -0.2194 & 0.586589 \tabularnewline
10 & 0.054845 & 0.5374 & 0.296127 \tabularnewline
11 & 0.254731 & 2.4958 & 0.007136 \tabularnewline
12 & 0.786474 & 7.7058 & 0 \tabularnewline
13 & 0.294149 & 2.8821 & 0.002437 \tabularnewline
14 & 0.124383 & 1.2187 & 0.112972 \tabularnewline
15 & 0.025368 & 0.2486 & 0.402117 \tabularnewline
16 & -0.163729 & -1.6042 & 0.944024 \tabularnewline
17 & -0.295181 & -2.8922 & 0.997634 \tabularnewline
18 & -0.417121 & -4.0869 & 0.999955 \tabularnewline
19 & -0.310596 & -3.0432 & 0.99849 \tabularnewline
20 & -0.185417 & -1.8167 & 0.963809 \tabularnewline
21 & -0.045211 & -0.443 & 0.670611 \tabularnewline
22 & 0.032518 & 0.3186 & 0.375359 \tabularnewline
23 & 0.224948 & 2.204 & 0.014956 \tabularnewline
24 & 0.669373 & 6.5585 & 0 \tabularnewline
25 & 0.266935 & 2.6154 & 0.005175 \tabularnewline
26 & 0.111063 & 1.0882 & 0.139617 \tabularnewline
27 & 0.0092 & 0.0901 & 0.464181 \tabularnewline
28 & -0.133983 & -1.3128 & 0.903803 \tabularnewline
29 & -0.241133 & -2.3626 & 0.989918 \tabularnewline
30 & -0.355241 & -3.4806 & 0.999623 \tabularnewline
31 & -0.248544 & -2.4352 & 0.991636 \tabularnewline
32 & -0.140279 & -1.3744 & 0.913748 \tabularnewline
33 & -0.018577 & -0.182 & 0.572023 \tabularnewline
34 & 0.020763 & 0.2034 & 0.419614 \tabularnewline
35 & 0.148018 & 1.4503 & 0.07512 \tabularnewline
36 & 0.520109 & 5.096 & 1e-06 \tabularnewline
37 & 0.210149 & 2.059 & 0.0211 \tabularnewline
38 & 0.074053 & 0.7256 & 0.234934 \tabularnewline
39 & 0.004082 & 0.04 & 0.484089 \tabularnewline
40 & -0.126745 & -1.2418 & 0.891339 \tabularnewline
41 & -0.195319 & -1.9137 & 0.970683 \tabularnewline
42 & -0.290426 & -2.8456 & 0.99729 \tabularnewline
43 & -0.201952 & -1.9787 & 0.974643 \tabularnewline
44 & -0.118171 & -1.1578 & 0.875098 \tabularnewline
45 & -0.027641 & -0.2708 & 0.606447 \tabularnewline
46 & 0.025164 & 0.2466 & 0.402888 \tabularnewline
47 & 0.120846 & 1.184 & 0.119659 \tabularnewline
48 & 0.434714 & 4.2593 & 2.4e-05 \tabularnewline
49 & 0.185525 & 1.8178 & 0.036109 \tabularnewline
50 & 0.068214 & 0.6684 & 0.252753 \tabularnewline
51 & 0.013676 & 0.134 & 0.446844 \tabularnewline
52 & -0.111357 & -1.0911 & 0.861014 \tabularnewline
53 & -0.149338 & -1.4632 & 0.926661 \tabularnewline
54 & -0.23737 & -2.3257 & 0.988931 \tabularnewline
55 & -0.164429 & -1.6111 & 0.944776 \tabularnewline
56 & -0.086785 & -0.8503 & 0.801367 \tabularnewline
57 & -0.019715 & -0.1932 & 0.576382 \tabularnewline
58 & 0.006786 & 0.0665 & 0.473563 \tabularnewline
59 & 0.074699 & 0.7319 & 0.233008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7707&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]9.798[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.358893[/C][C]3.5164[/C][C]0.000335[/C][/ROW]
[ROW][C]2[/C][C]0.15575[/C][C]1.526[/C][C]0.065145[/C][/ROW]
[ROW][C]3[/C][C]0.049037[/C][C]0.4805[/C][C]0.315995[/C][/ROW]
[ROW][C]4[/C][C]-0.183934[/C][C]-1.8022[/C][C]0.962672[/C][/ROW]
[ROW][C]5[/C][C]-0.315277[/C][C]-3.0891[/C][C]0.998687[/C][/ROW]
[ROW][C]6[/C][C]-0.469839[/C][C]-4.6035[/C][C]0.999994[/C][/ROW]
[ROW][C]7[/C][C]-0.344287[/C][C]-3.3733[/C][C]0.999464[/C][/ROW]
[ROW][C]8[/C][C]-0.20416[/C][C]-2.0004[/C][C]0.975857[/C][/ROW]
[ROW][C]9[/C][C]-0.02239[/C][C]-0.2194[/C][C]0.586589[/C][/ROW]
[ROW][C]10[/C][C]0.054845[/C][C]0.5374[/C][C]0.296127[/C][/ROW]
[ROW][C]11[/C][C]0.254731[/C][C]2.4958[/C][C]0.007136[/C][/ROW]
[ROW][C]12[/C][C]0.786474[/C][C]7.7058[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.294149[/C][C]2.8821[/C][C]0.002437[/C][/ROW]
[ROW][C]14[/C][C]0.124383[/C][C]1.2187[/C][C]0.112972[/C][/ROW]
[ROW][C]15[/C][C]0.025368[/C][C]0.2486[/C][C]0.402117[/C][/ROW]
[ROW][C]16[/C][C]-0.163729[/C][C]-1.6042[/C][C]0.944024[/C][/ROW]
[ROW][C]17[/C][C]-0.295181[/C][C]-2.8922[/C][C]0.997634[/C][/ROW]
[ROW][C]18[/C][C]-0.417121[/C][C]-4.0869[/C][C]0.999955[/C][/ROW]
[ROW][C]19[/C][C]-0.310596[/C][C]-3.0432[/C][C]0.99849[/C][/ROW]
[ROW][C]20[/C][C]-0.185417[/C][C]-1.8167[/C][C]0.963809[/C][/ROW]
[ROW][C]21[/C][C]-0.045211[/C][C]-0.443[/C][C]0.670611[/C][/ROW]
[ROW][C]22[/C][C]0.032518[/C][C]0.3186[/C][C]0.375359[/C][/ROW]
[ROW][C]23[/C][C]0.224948[/C][C]2.204[/C][C]0.014956[/C][/ROW]
[ROW][C]24[/C][C]0.669373[/C][C]6.5585[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.266935[/C][C]2.6154[/C][C]0.005175[/C][/ROW]
[ROW][C]26[/C][C]0.111063[/C][C]1.0882[/C][C]0.139617[/C][/ROW]
[ROW][C]27[/C][C]0.0092[/C][C]0.0901[/C][C]0.464181[/C][/ROW]
[ROW][C]28[/C][C]-0.133983[/C][C]-1.3128[/C][C]0.903803[/C][/ROW]
[ROW][C]29[/C][C]-0.241133[/C][C]-2.3626[/C][C]0.989918[/C][/ROW]
[ROW][C]30[/C][C]-0.355241[/C][C]-3.4806[/C][C]0.999623[/C][/ROW]
[ROW][C]31[/C][C]-0.248544[/C][C]-2.4352[/C][C]0.991636[/C][/ROW]
[ROW][C]32[/C][C]-0.140279[/C][C]-1.3744[/C][C]0.913748[/C][/ROW]
[ROW][C]33[/C][C]-0.018577[/C][C]-0.182[/C][C]0.572023[/C][/ROW]
[ROW][C]34[/C][C]0.020763[/C][C]0.2034[/C][C]0.419614[/C][/ROW]
[ROW][C]35[/C][C]0.148018[/C][C]1.4503[/C][C]0.07512[/C][/ROW]
[ROW][C]36[/C][C]0.520109[/C][C]5.096[/C][C]1e-06[/C][/ROW]
[ROW][C]37[/C][C]0.210149[/C][C]2.059[/C][C]0.0211[/C][/ROW]
[ROW][C]38[/C][C]0.074053[/C][C]0.7256[/C][C]0.234934[/C][/ROW]
[ROW][C]39[/C][C]0.004082[/C][C]0.04[/C][C]0.484089[/C][/ROW]
[ROW][C]40[/C][C]-0.126745[/C][C]-1.2418[/C][C]0.891339[/C][/ROW]
[ROW][C]41[/C][C]-0.195319[/C][C]-1.9137[/C][C]0.970683[/C][/ROW]
[ROW][C]42[/C][C]-0.290426[/C][C]-2.8456[/C][C]0.99729[/C][/ROW]
[ROW][C]43[/C][C]-0.201952[/C][C]-1.9787[/C][C]0.974643[/C][/ROW]
[ROW][C]44[/C][C]-0.118171[/C][C]-1.1578[/C][C]0.875098[/C][/ROW]
[ROW][C]45[/C][C]-0.027641[/C][C]-0.2708[/C][C]0.606447[/C][/ROW]
[ROW][C]46[/C][C]0.025164[/C][C]0.2466[/C][C]0.402888[/C][/ROW]
[ROW][C]47[/C][C]0.120846[/C][C]1.184[/C][C]0.119659[/C][/ROW]
[ROW][C]48[/C][C]0.434714[/C][C]4.2593[/C][C]2.4e-05[/C][/ROW]
[ROW][C]49[/C][C]0.185525[/C][C]1.8178[/C][C]0.036109[/C][/ROW]
[ROW][C]50[/C][C]0.068214[/C][C]0.6684[/C][C]0.252753[/C][/ROW]
[ROW][C]51[/C][C]0.013676[/C][C]0.134[/C][C]0.446844[/C][/ROW]
[ROW][C]52[/C][C]-0.111357[/C][C]-1.0911[/C][C]0.861014[/C][/ROW]
[ROW][C]53[/C][C]-0.149338[/C][C]-1.4632[/C][C]0.926661[/C][/ROW]
[ROW][C]54[/C][C]-0.23737[/C][C]-2.3257[/C][C]0.988931[/C][/ROW]
[ROW][C]55[/C][C]-0.164429[/C][C]-1.6111[/C][C]0.944776[/C][/ROW]
[ROW][C]56[/C][C]-0.086785[/C][C]-0.8503[/C][C]0.801367[/C][/ROW]
[ROW][C]57[/C][C]-0.019715[/C][C]-0.1932[/C][C]0.576382[/C][/ROW]
[ROW][C]58[/C][C]0.006786[/C][C]0.0665[/C][C]0.473563[/C][/ROW]
[ROW][C]59[/C][C]0.074699[/C][C]0.7319[/C][C]0.233008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7707&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7707&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
019.7980
10.3588933.51640.000335
20.155751.5260.065145
30.0490370.48050.315995
4-0.183934-1.80220.962672
5-0.315277-3.08910.998687
6-0.469839-4.60350.999994
7-0.344287-3.37330.999464
8-0.20416-2.00040.975857
9-0.02239-0.21940.586589
100.0548450.53740.296127
110.2547312.49580.007136
120.7864747.70580
130.2941492.88210.002437
140.1243831.21870.112972
150.0253680.24860.402117
16-0.163729-1.60420.944024
17-0.295181-2.89220.997634
18-0.417121-4.08690.999955
19-0.310596-3.04320.99849
20-0.185417-1.81670.963809
21-0.045211-0.4430.670611
220.0325180.31860.375359
230.2249482.2040.014956
240.6693736.55850
250.2669352.61540.005175
260.1110631.08820.139617
270.00920.09010.464181
28-0.133983-1.31280.903803
29-0.241133-2.36260.989918
30-0.355241-3.48060.999623
31-0.248544-2.43520.991636
32-0.140279-1.37440.913748
33-0.018577-0.1820.572023
340.0207630.20340.419614
350.1480181.45030.07512
360.5201095.0961e-06
370.2101492.0590.0211
380.0740530.72560.234934
390.0040820.040.484089
40-0.126745-1.24180.891339
41-0.195319-1.91370.970683
42-0.290426-2.84560.99729
43-0.201952-1.97870.974643
44-0.118171-1.15780.875098
45-0.027641-0.27080.606447
460.0251640.24660.402888
470.1208461.1840.119659
480.4347144.25932.4e-05
490.1855251.81780.036109
500.0682140.66840.252753
510.0136760.1340.446844
52-0.111357-1.09110.861014
53-0.149338-1.46320.926661
54-0.23737-2.32570.988931
55-0.164429-1.61110.944776
56-0.086785-0.85030.801367
57-0.019715-0.19320.576382
580.0067860.06650.473563
590.0746990.73190.233008







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3588933.51640.000335
10.030930.30310.381252
2-0.01865-0.18270.572302
3-0.230043-2.2540.986763
4-0.219975-2.15530.983181
5-0.34035-3.33470.999393
6-0.10714-1.04980.851767
7-0.069414-0.68010.750965
80.0449940.44080.330158
9-0.100054-0.98030.835305
100.0873570.85590.197087
110.70816.93790
12-0.305156-2.98990.998228
13-0.180562-1.76910.959977
14-0.110054-1.07830.8582
150.0797990.78190.218109
16-0.06109-0.59860.72456
170.0859960.84260.200777
180.0081930.08030.468094
19-0.047776-0.46810.679615
20-0.067982-0.66610.746522
210.0882540.86470.194676
220.0477790.46810.320374
230.0383820.37610.35385
24-0.075212-0.73690.768518
25-0.050167-0.49150.687914
26-0.06518-0.63860.737708
270.071630.70180.242243
280.1152331.1290.130846
29-0.00327-0.0320.512745
300.0026490.0260.489673
31-0.008954-0.08770.534865
320.0838910.8220.206568
33-0.063984-0.62690.733899
34-0.157494-1.54310.936954
35-0.082535-0.80870.789648
360.0581980.57020.284931
370.0306040.29990.382467
380.1112041.08960.139314
39-0.084643-0.82930.795511
40-0.027202-0.26650.604796
41-0.042184-0.41330.659853
420.0316550.31020.378558
43-0.061843-0.60590.727006
44-0.079023-0.77430.779661
450.0474750.46520.321436
460.0636350.62350.267218
470.0461290.4520.326153
48-0.008287-0.08120.532274
490.0257980.25280.400496
50-0.050929-0.4990.690541
51-0.040246-0.39430.652894
520.0328890.32220.373983
530.0212950.20860.417583
54-0.063701-0.62410.73299
550.0071480.070.472157
560.0171340.16790.433515
57-0.025278-0.24770.597541
58-0.00931-0.09120.536246
59-0.100315-0.98290.835932

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.358893 & 3.5164 & 0.000335 \tabularnewline
1 & 0.03093 & 0.3031 & 0.381252 \tabularnewline
2 & -0.01865 & -0.1827 & 0.572302 \tabularnewline
3 & -0.230043 & -2.254 & 0.986763 \tabularnewline
4 & -0.219975 & -2.1553 & 0.983181 \tabularnewline
5 & -0.34035 & -3.3347 & 0.999393 \tabularnewline
6 & -0.10714 & -1.0498 & 0.851767 \tabularnewline
7 & -0.069414 & -0.6801 & 0.750965 \tabularnewline
8 & 0.044994 & 0.4408 & 0.330158 \tabularnewline
9 & -0.100054 & -0.9803 & 0.835305 \tabularnewline
10 & 0.087357 & 0.8559 & 0.197087 \tabularnewline
11 & 0.7081 & 6.9379 & 0 \tabularnewline
12 & -0.305156 & -2.9899 & 0.998228 \tabularnewline
13 & -0.180562 & -1.7691 & 0.959977 \tabularnewline
14 & -0.110054 & -1.0783 & 0.8582 \tabularnewline
15 & 0.079799 & 0.7819 & 0.218109 \tabularnewline
16 & -0.06109 & -0.5986 & 0.72456 \tabularnewline
17 & 0.085996 & 0.8426 & 0.200777 \tabularnewline
18 & 0.008193 & 0.0803 & 0.468094 \tabularnewline
19 & -0.047776 & -0.4681 & 0.679615 \tabularnewline
20 & -0.067982 & -0.6661 & 0.746522 \tabularnewline
21 & 0.088254 & 0.8647 & 0.194676 \tabularnewline
22 & 0.047779 & 0.4681 & 0.320374 \tabularnewline
23 & 0.038382 & 0.3761 & 0.35385 \tabularnewline
24 & -0.075212 & -0.7369 & 0.768518 \tabularnewline
25 & -0.050167 & -0.4915 & 0.687914 \tabularnewline
26 & -0.06518 & -0.6386 & 0.737708 \tabularnewline
27 & 0.07163 & 0.7018 & 0.242243 \tabularnewline
28 & 0.115233 & 1.129 & 0.130846 \tabularnewline
29 & -0.00327 & -0.032 & 0.512745 \tabularnewline
30 & 0.002649 & 0.026 & 0.489673 \tabularnewline
31 & -0.008954 & -0.0877 & 0.534865 \tabularnewline
32 & 0.083891 & 0.822 & 0.206568 \tabularnewline
33 & -0.063984 & -0.6269 & 0.733899 \tabularnewline
34 & -0.157494 & -1.5431 & 0.936954 \tabularnewline
35 & -0.082535 & -0.8087 & 0.789648 \tabularnewline
36 & 0.058198 & 0.5702 & 0.284931 \tabularnewline
37 & 0.030604 & 0.2999 & 0.382467 \tabularnewline
38 & 0.111204 & 1.0896 & 0.139314 \tabularnewline
39 & -0.084643 & -0.8293 & 0.795511 \tabularnewline
40 & -0.027202 & -0.2665 & 0.604796 \tabularnewline
41 & -0.042184 & -0.4133 & 0.659853 \tabularnewline
42 & 0.031655 & 0.3102 & 0.378558 \tabularnewline
43 & -0.061843 & -0.6059 & 0.727006 \tabularnewline
44 & -0.079023 & -0.7743 & 0.779661 \tabularnewline
45 & 0.047475 & 0.4652 & 0.321436 \tabularnewline
46 & 0.063635 & 0.6235 & 0.267218 \tabularnewline
47 & 0.046129 & 0.452 & 0.326153 \tabularnewline
48 & -0.008287 & -0.0812 & 0.532274 \tabularnewline
49 & 0.025798 & 0.2528 & 0.400496 \tabularnewline
50 & -0.050929 & -0.499 & 0.690541 \tabularnewline
51 & -0.040246 & -0.3943 & 0.652894 \tabularnewline
52 & 0.032889 & 0.3222 & 0.373983 \tabularnewline
53 & 0.021295 & 0.2086 & 0.417583 \tabularnewline
54 & -0.063701 & -0.6241 & 0.73299 \tabularnewline
55 & 0.007148 & 0.07 & 0.472157 \tabularnewline
56 & 0.017134 & 0.1679 & 0.433515 \tabularnewline
57 & -0.025278 & -0.2477 & 0.597541 \tabularnewline
58 & -0.00931 & -0.0912 & 0.536246 \tabularnewline
59 & -0.100315 & -0.9829 & 0.835932 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7707&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]0.358893[/C][C]3.5164[/C][C]0.000335[/C][/ROW]
[ROW][C]1[/C][C]0.03093[/C][C]0.3031[/C][C]0.381252[/C][/ROW]
[ROW][C]2[/C][C]-0.01865[/C][C]-0.1827[/C][C]0.572302[/C][/ROW]
[ROW][C]3[/C][C]-0.230043[/C][C]-2.254[/C][C]0.986763[/C][/ROW]
[ROW][C]4[/C][C]-0.219975[/C][C]-2.1553[/C][C]0.983181[/C][/ROW]
[ROW][C]5[/C][C]-0.34035[/C][C]-3.3347[/C][C]0.999393[/C][/ROW]
[ROW][C]6[/C][C]-0.10714[/C][C]-1.0498[/C][C]0.851767[/C][/ROW]
[ROW][C]7[/C][C]-0.069414[/C][C]-0.6801[/C][C]0.750965[/C][/ROW]
[ROW][C]8[/C][C]0.044994[/C][C]0.4408[/C][C]0.330158[/C][/ROW]
[ROW][C]9[/C][C]-0.100054[/C][C]-0.9803[/C][C]0.835305[/C][/ROW]
[ROW][C]10[/C][C]0.087357[/C][C]0.8559[/C][C]0.197087[/C][/ROW]
[ROW][C]11[/C][C]0.7081[/C][C]6.9379[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]-0.305156[/C][C]-2.9899[/C][C]0.998228[/C][/ROW]
[ROW][C]13[/C][C]-0.180562[/C][C]-1.7691[/C][C]0.959977[/C][/ROW]
[ROW][C]14[/C][C]-0.110054[/C][C]-1.0783[/C][C]0.8582[/C][/ROW]
[ROW][C]15[/C][C]0.079799[/C][C]0.7819[/C][C]0.218109[/C][/ROW]
[ROW][C]16[/C][C]-0.06109[/C][C]-0.5986[/C][C]0.72456[/C][/ROW]
[ROW][C]17[/C][C]0.085996[/C][C]0.8426[/C][C]0.200777[/C][/ROW]
[ROW][C]18[/C][C]0.008193[/C][C]0.0803[/C][C]0.468094[/C][/ROW]
[ROW][C]19[/C][C]-0.047776[/C][C]-0.4681[/C][C]0.679615[/C][/ROW]
[ROW][C]20[/C][C]-0.067982[/C][C]-0.6661[/C][C]0.746522[/C][/ROW]
[ROW][C]21[/C][C]0.088254[/C][C]0.8647[/C][C]0.194676[/C][/ROW]
[ROW][C]22[/C][C]0.047779[/C][C]0.4681[/C][C]0.320374[/C][/ROW]
[ROW][C]23[/C][C]0.038382[/C][C]0.3761[/C][C]0.35385[/C][/ROW]
[ROW][C]24[/C][C]-0.075212[/C][C]-0.7369[/C][C]0.768518[/C][/ROW]
[ROW][C]25[/C][C]-0.050167[/C][C]-0.4915[/C][C]0.687914[/C][/ROW]
[ROW][C]26[/C][C]-0.06518[/C][C]-0.6386[/C][C]0.737708[/C][/ROW]
[ROW][C]27[/C][C]0.07163[/C][C]0.7018[/C][C]0.242243[/C][/ROW]
[ROW][C]28[/C][C]0.115233[/C][C]1.129[/C][C]0.130846[/C][/ROW]
[ROW][C]29[/C][C]-0.00327[/C][C]-0.032[/C][C]0.512745[/C][/ROW]
[ROW][C]30[/C][C]0.002649[/C][C]0.026[/C][C]0.489673[/C][/ROW]
[ROW][C]31[/C][C]-0.008954[/C][C]-0.0877[/C][C]0.534865[/C][/ROW]
[ROW][C]32[/C][C]0.083891[/C][C]0.822[/C][C]0.206568[/C][/ROW]
[ROW][C]33[/C][C]-0.063984[/C][C]-0.6269[/C][C]0.733899[/C][/ROW]
[ROW][C]34[/C][C]-0.157494[/C][C]-1.5431[/C][C]0.936954[/C][/ROW]
[ROW][C]35[/C][C]-0.082535[/C][C]-0.8087[/C][C]0.789648[/C][/ROW]
[ROW][C]36[/C][C]0.058198[/C][C]0.5702[/C][C]0.284931[/C][/ROW]
[ROW][C]37[/C][C]0.030604[/C][C]0.2999[/C][C]0.382467[/C][/ROW]
[ROW][C]38[/C][C]0.111204[/C][C]1.0896[/C][C]0.139314[/C][/ROW]
[ROW][C]39[/C][C]-0.084643[/C][C]-0.8293[/C][C]0.795511[/C][/ROW]
[ROW][C]40[/C][C]-0.027202[/C][C]-0.2665[/C][C]0.604796[/C][/ROW]
[ROW][C]41[/C][C]-0.042184[/C][C]-0.4133[/C][C]0.659853[/C][/ROW]
[ROW][C]42[/C][C]0.031655[/C][C]0.3102[/C][C]0.378558[/C][/ROW]
[ROW][C]43[/C][C]-0.061843[/C][C]-0.6059[/C][C]0.727006[/C][/ROW]
[ROW][C]44[/C][C]-0.079023[/C][C]-0.7743[/C][C]0.779661[/C][/ROW]
[ROW][C]45[/C][C]0.047475[/C][C]0.4652[/C][C]0.321436[/C][/ROW]
[ROW][C]46[/C][C]0.063635[/C][C]0.6235[/C][C]0.267218[/C][/ROW]
[ROW][C]47[/C][C]0.046129[/C][C]0.452[/C][C]0.326153[/C][/ROW]
[ROW][C]48[/C][C]-0.008287[/C][C]-0.0812[/C][C]0.532274[/C][/ROW]
[ROW][C]49[/C][C]0.025798[/C][C]0.2528[/C][C]0.400496[/C][/ROW]
[ROW][C]50[/C][C]-0.050929[/C][C]-0.499[/C][C]0.690541[/C][/ROW]
[ROW][C]51[/C][C]-0.040246[/C][C]-0.3943[/C][C]0.652894[/C][/ROW]
[ROW][C]52[/C][C]0.032889[/C][C]0.3222[/C][C]0.373983[/C][/ROW]
[ROW][C]53[/C][C]0.021295[/C][C]0.2086[/C][C]0.417583[/C][/ROW]
[ROW][C]54[/C][C]-0.063701[/C][C]-0.6241[/C][C]0.73299[/C][/ROW]
[ROW][C]55[/C][C]0.007148[/C][C]0.07[/C][C]0.472157[/C][/ROW]
[ROW][C]56[/C][C]0.017134[/C][C]0.1679[/C][C]0.433515[/C][/ROW]
[ROW][C]57[/C][C]-0.025278[/C][C]-0.2477[/C][C]0.597541[/C][/ROW]
[ROW][C]58[/C][C]-0.00931[/C][C]-0.0912[/C][C]0.536246[/C][/ROW]
[ROW][C]59[/C][C]-0.100315[/C][C]-0.9829[/C][C]0.835932[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7707&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7707&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
00.3588933.51640.000335
10.030930.30310.381252
2-0.01865-0.18270.572302
3-0.230043-2.2540.986763
4-0.219975-2.15530.983181
5-0.34035-3.33470.999393
6-0.10714-1.04980.851767
7-0.069414-0.68010.750965
80.0449940.44080.330158
9-0.100054-0.98030.835305
100.0873570.85590.197087
110.70816.93790
12-0.305156-2.98990.998228
13-0.180562-1.76910.959977
14-0.110054-1.07830.8582
150.0797990.78190.218109
16-0.06109-0.59860.72456
170.0859960.84260.200777
180.0081930.08030.468094
19-0.047776-0.46810.679615
20-0.067982-0.66610.746522
210.0882540.86470.194676
220.0477790.46810.320374
230.0383820.37610.35385
24-0.075212-0.73690.768518
25-0.050167-0.49150.687914
26-0.06518-0.63860.737708
270.071630.70180.242243
280.1152331.1290.130846
29-0.00327-0.0320.512745
300.0026490.0260.489673
31-0.008954-0.08770.534865
320.0838910.8220.206568
33-0.063984-0.62690.733899
34-0.157494-1.54310.936954
35-0.082535-0.80870.789648
360.0581980.57020.284931
370.0306040.29990.382467
380.1112041.08960.139314
39-0.084643-0.82930.795511
40-0.027202-0.26650.604796
41-0.042184-0.41330.659853
420.0316550.31020.378558
43-0.061843-0.60590.727006
44-0.079023-0.77430.779661
450.0474750.46520.321436
460.0636350.62350.267218
470.0461290.4520.326153
48-0.008287-0.08120.532274
490.0257980.25280.400496
50-0.050929-0.4990.690541
51-0.040246-0.39430.652894
520.0328890.32220.373983
530.0212950.20860.417583
54-0.063701-0.62410.73299
550.0071480.070.472157
560.0171340.16790.433515
57-0.025278-0.24770.597541
58-0.00931-0.09120.536246
59-0.100315-0.98290.835932



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 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')