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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 computationMon, 06 Dec 2010 13:14:29 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/06/t1291641150a3nvc0qlcd347ar.htm/, Retrieved Sun, 28 Apr 2024 23:47:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105572, Retrieved Sun, 28 Apr 2024 23:47:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Gilliam Schoorel] [2008-11-06 14:07:56] [666bda00bbd072dde5655a1423b1377b]
- RMPD  [(Partial) Autocorrelation Function] [ACF suiker zonder...] [2008-12-09 16:11:56] [f77c9ab3b413812d7baee6b7ec69a15d]
-  MPD      [(Partial) Autocorrelation Function] [Autocorrelatie Bloem] [2010-12-06 13:14:29] [2fa539864aa87c5da4977c85c6885fac] [Current]
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Dataseries X:
0.81
0.81
0.81
0.79
0.78
0.78
0.77
0.78
0.77
0.78
0.79
0.79
0.79
0.79
0.79
0.8
0.8
0.8
0.8
0.81
0.8
0.82
0.85
0.85
0.86
0.85
0.83
0.81
0.82
0.82
0.78
0.78
0.73
0.68
0.65
0.62
0.6
0.6
0.59
0.6
0.6
0.6
0.59
0.58
0.56
0.55
0.54
0.55
0.55
0.54
0.54
0.54
0.53
0.53
0.53
0.53




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105572&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105572&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105572&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9632917.20860
20.9180416.870
30.8650376.47330
40.8074896.04270
50.7513875.62290
60.6933145.18832e-06
70.6331674.73828e-06
80.5711234.27393.8e-05
90.5085823.80590.000176
100.4405213.29660.000851
110.3718782.78290.003666
120.3068872.29650.012704
130.2457821.83930.03559
140.187541.40340.083006
150.1321610.9890.163458
160.0759650.56850.285994
170.0196380.1470.441847
18-0.039289-0.2940.384917
19-0.095616-0.71550.238628
20-0.154074-1.1530.126907
21-0.205596-1.53850.064775
22-0.251212-1.87990.032664
23-0.293713-2.19790.016052
24-0.322818-2.41570.009495
25-0.34171-2.55710.006645
26-0.35834-2.68160.004805
27-0.363725-2.72190.004318
28-0.367214-2.7480.004027
29-0.374776-2.80460.003457
30-0.379635-2.84090.003131
31-0.376027-2.81390.00337
32-0.370608-2.77340.003761
33-0.362259-2.71090.004446
34-0.3472-2.59820.005977
35-0.334862-2.50590.007574
36-0.322909-2.41640.009479
37-0.305671-2.28740.012985
38-0.29064-2.17490.016937
39-0.274791-2.05640.02221
40-0.260417-1.94880.028169
41-0.246699-1.84610.035081
42-0.235976-1.76590.041433
43-0.224042-1.67660.0496
44-0.210897-1.57820.060075
45-0.194936-1.45880.075108
46-0.177633-1.32930.094573
47-0.161719-1.21020.115644
48-0.149484-1.11860.134035
49-0.135044-1.01060.158283
50-0.121861-0.91190.182858
51-0.106342-0.79580.214758
52-0.090822-0.67960.249764
53-0.071622-0.5360.29705
54-0.047748-0.35730.3611
55-0.023874-0.17870.429426
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.963291 & 7.2086 & 0 \tabularnewline
2 & 0.918041 & 6.87 & 0 \tabularnewline
3 & 0.865037 & 6.4733 & 0 \tabularnewline
4 & 0.807489 & 6.0427 & 0 \tabularnewline
5 & 0.751387 & 5.6229 & 0 \tabularnewline
6 & 0.693314 & 5.1883 & 2e-06 \tabularnewline
7 & 0.633167 & 4.7382 & 8e-06 \tabularnewline
8 & 0.571123 & 4.2739 & 3.8e-05 \tabularnewline
9 & 0.508582 & 3.8059 & 0.000176 \tabularnewline
10 & 0.440521 & 3.2966 & 0.000851 \tabularnewline
11 & 0.371878 & 2.7829 & 0.003666 \tabularnewline
12 & 0.306887 & 2.2965 & 0.012704 \tabularnewline
13 & 0.245782 & 1.8393 & 0.03559 \tabularnewline
14 & 0.18754 & 1.4034 & 0.083006 \tabularnewline
15 & 0.132161 & 0.989 & 0.163458 \tabularnewline
16 & 0.075965 & 0.5685 & 0.285994 \tabularnewline
17 & 0.019638 & 0.147 & 0.441847 \tabularnewline
18 & -0.039289 & -0.294 & 0.384917 \tabularnewline
19 & -0.095616 & -0.7155 & 0.238628 \tabularnewline
20 & -0.154074 & -1.153 & 0.126907 \tabularnewline
21 & -0.205596 & -1.5385 & 0.064775 \tabularnewline
22 & -0.251212 & -1.8799 & 0.032664 \tabularnewline
23 & -0.293713 & -2.1979 & 0.016052 \tabularnewline
24 & -0.322818 & -2.4157 & 0.009495 \tabularnewline
25 & -0.34171 & -2.5571 & 0.006645 \tabularnewline
26 & -0.35834 & -2.6816 & 0.004805 \tabularnewline
27 & -0.363725 & -2.7219 & 0.004318 \tabularnewline
28 & -0.367214 & -2.748 & 0.004027 \tabularnewline
29 & -0.374776 & -2.8046 & 0.003457 \tabularnewline
30 & -0.379635 & -2.8409 & 0.003131 \tabularnewline
31 & -0.376027 & -2.8139 & 0.00337 \tabularnewline
32 & -0.370608 & -2.7734 & 0.003761 \tabularnewline
33 & -0.362259 & -2.7109 & 0.004446 \tabularnewline
34 & -0.3472 & -2.5982 & 0.005977 \tabularnewline
35 & -0.334862 & -2.5059 & 0.007574 \tabularnewline
36 & -0.322909 & -2.4164 & 0.009479 \tabularnewline
37 & -0.305671 & -2.2874 & 0.012985 \tabularnewline
38 & -0.29064 & -2.1749 & 0.016937 \tabularnewline
39 & -0.274791 & -2.0564 & 0.02221 \tabularnewline
40 & -0.260417 & -1.9488 & 0.028169 \tabularnewline
41 & -0.246699 & -1.8461 & 0.035081 \tabularnewline
42 & -0.235976 & -1.7659 & 0.041433 \tabularnewline
43 & -0.224042 & -1.6766 & 0.0496 \tabularnewline
44 & -0.210897 & -1.5782 & 0.060075 \tabularnewline
45 & -0.194936 & -1.4588 & 0.075108 \tabularnewline
46 & -0.177633 & -1.3293 & 0.094573 \tabularnewline
47 & -0.161719 & -1.2102 & 0.115644 \tabularnewline
48 & -0.149484 & -1.1186 & 0.134035 \tabularnewline
49 & -0.135044 & -1.0106 & 0.158283 \tabularnewline
50 & -0.121861 & -0.9119 & 0.182858 \tabularnewline
51 & -0.106342 & -0.7958 & 0.214758 \tabularnewline
52 & -0.090822 & -0.6796 & 0.249764 \tabularnewline
53 & -0.071622 & -0.536 & 0.29705 \tabularnewline
54 & -0.047748 & -0.3573 & 0.3611 \tabularnewline
55 & -0.023874 & -0.1787 & 0.429426 \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105572&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]0.963291[/C][C]7.2086[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.918041[/C][C]6.87[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.865037[/C][C]6.4733[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.807489[/C][C]6.0427[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.751387[/C][C]5.6229[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.693314[/C][C]5.1883[/C][C]2e-06[/C][/ROW]
[ROW][C]7[/C][C]0.633167[/C][C]4.7382[/C][C]8e-06[/C][/ROW]
[ROW][C]8[/C][C]0.571123[/C][C]4.2739[/C][C]3.8e-05[/C][/ROW]
[ROW][C]9[/C][C]0.508582[/C][C]3.8059[/C][C]0.000176[/C][/ROW]
[ROW][C]10[/C][C]0.440521[/C][C]3.2966[/C][C]0.000851[/C][/ROW]
[ROW][C]11[/C][C]0.371878[/C][C]2.7829[/C][C]0.003666[/C][/ROW]
[ROW][C]12[/C][C]0.306887[/C][C]2.2965[/C][C]0.012704[/C][/ROW]
[ROW][C]13[/C][C]0.245782[/C][C]1.8393[/C][C]0.03559[/C][/ROW]
[ROW][C]14[/C][C]0.18754[/C][C]1.4034[/C][C]0.083006[/C][/ROW]
[ROW][C]15[/C][C]0.132161[/C][C]0.989[/C][C]0.163458[/C][/ROW]
[ROW][C]16[/C][C]0.075965[/C][C]0.5685[/C][C]0.285994[/C][/ROW]
[ROW][C]17[/C][C]0.019638[/C][C]0.147[/C][C]0.441847[/C][/ROW]
[ROW][C]18[/C][C]-0.039289[/C][C]-0.294[/C][C]0.384917[/C][/ROW]
[ROW][C]19[/C][C]-0.095616[/C][C]-0.7155[/C][C]0.238628[/C][/ROW]
[ROW][C]20[/C][C]-0.154074[/C][C]-1.153[/C][C]0.126907[/C][/ROW]
[ROW][C]21[/C][C]-0.205596[/C][C]-1.5385[/C][C]0.064775[/C][/ROW]
[ROW][C]22[/C][C]-0.251212[/C][C]-1.8799[/C][C]0.032664[/C][/ROW]
[ROW][C]23[/C][C]-0.293713[/C][C]-2.1979[/C][C]0.016052[/C][/ROW]
[ROW][C]24[/C][C]-0.322818[/C][C]-2.4157[/C][C]0.009495[/C][/ROW]
[ROW][C]25[/C][C]-0.34171[/C][C]-2.5571[/C][C]0.006645[/C][/ROW]
[ROW][C]26[/C][C]-0.35834[/C][C]-2.6816[/C][C]0.004805[/C][/ROW]
[ROW][C]27[/C][C]-0.363725[/C][C]-2.7219[/C][C]0.004318[/C][/ROW]
[ROW][C]28[/C][C]-0.367214[/C][C]-2.748[/C][C]0.004027[/C][/ROW]
[ROW][C]29[/C][C]-0.374776[/C][C]-2.8046[/C][C]0.003457[/C][/ROW]
[ROW][C]30[/C][C]-0.379635[/C][C]-2.8409[/C][C]0.003131[/C][/ROW]
[ROW][C]31[/C][C]-0.376027[/C][C]-2.8139[/C][C]0.00337[/C][/ROW]
[ROW][C]32[/C][C]-0.370608[/C][C]-2.7734[/C][C]0.003761[/C][/ROW]
[ROW][C]33[/C][C]-0.362259[/C][C]-2.7109[/C][C]0.004446[/C][/ROW]
[ROW][C]34[/C][C]-0.3472[/C][C]-2.5982[/C][C]0.005977[/C][/ROW]
[ROW][C]35[/C][C]-0.334862[/C][C]-2.5059[/C][C]0.007574[/C][/ROW]
[ROW][C]36[/C][C]-0.322909[/C][C]-2.4164[/C][C]0.009479[/C][/ROW]
[ROW][C]37[/C][C]-0.305671[/C][C]-2.2874[/C][C]0.012985[/C][/ROW]
[ROW][C]38[/C][C]-0.29064[/C][C]-2.1749[/C][C]0.016937[/C][/ROW]
[ROW][C]39[/C][C]-0.274791[/C][C]-2.0564[/C][C]0.02221[/C][/ROW]
[ROW][C]40[/C][C]-0.260417[/C][C]-1.9488[/C][C]0.028169[/C][/ROW]
[ROW][C]41[/C][C]-0.246699[/C][C]-1.8461[/C][C]0.035081[/C][/ROW]
[ROW][C]42[/C][C]-0.235976[/C][C]-1.7659[/C][C]0.041433[/C][/ROW]
[ROW][C]43[/C][C]-0.224042[/C][C]-1.6766[/C][C]0.0496[/C][/ROW]
[ROW][C]44[/C][C]-0.210897[/C][C]-1.5782[/C][C]0.060075[/C][/ROW]
[ROW][C]45[/C][C]-0.194936[/C][C]-1.4588[/C][C]0.075108[/C][/ROW]
[ROW][C]46[/C][C]-0.177633[/C][C]-1.3293[/C][C]0.094573[/C][/ROW]
[ROW][C]47[/C][C]-0.161719[/C][C]-1.2102[/C][C]0.115644[/C][/ROW]
[ROW][C]48[/C][C]-0.149484[/C][C]-1.1186[/C][C]0.134035[/C][/ROW]
[ROW][C]49[/C][C]-0.135044[/C][C]-1.0106[/C][C]0.158283[/C][/ROW]
[ROW][C]50[/C][C]-0.121861[/C][C]-0.9119[/C][C]0.182858[/C][/ROW]
[ROW][C]51[/C][C]-0.106342[/C][C]-0.7958[/C][C]0.214758[/C][/ROW]
[ROW][C]52[/C][C]-0.090822[/C][C]-0.6796[/C][C]0.249764[/C][/ROW]
[ROW][C]53[/C][C]-0.071622[/C][C]-0.536[/C][C]0.29705[/C][/ROW]
[ROW][C]54[/C][C]-0.047748[/C][C]-0.3573[/C][C]0.3611[/C][/ROW]
[ROW][C]55[/C][C]-0.023874[/C][C]-0.1787[/C][C]0.429426[/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]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105572&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105572&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
10.9632917.20860
20.9180416.870
30.8650376.47330
40.8074896.04270
50.7513875.62290
60.6933145.18832e-06
70.6331674.73828e-06
80.5711234.27393.8e-05
90.5085823.80590.000176
100.4405213.29660.000851
110.3718782.78290.003666
120.3068872.29650.012704
130.2457821.83930.03559
140.187541.40340.083006
150.1321610.9890.163458
160.0759650.56850.285994
170.0196380.1470.441847
18-0.039289-0.2940.384917
19-0.095616-0.71550.238628
20-0.154074-1.1530.126907
21-0.205596-1.53850.064775
22-0.251212-1.87990.032664
23-0.293713-2.19790.016052
24-0.322818-2.41570.009495
25-0.34171-2.55710.006645
26-0.35834-2.68160.004805
27-0.363725-2.72190.004318
28-0.367214-2.7480.004027
29-0.374776-2.80460.003457
30-0.379635-2.84090.003131
31-0.376027-2.81390.00337
32-0.370608-2.77340.003761
33-0.362259-2.71090.004446
34-0.3472-2.59820.005977
35-0.334862-2.50590.007574
36-0.322909-2.41640.009479
37-0.305671-2.28740.012985
38-0.29064-2.17490.016937
39-0.274791-2.05640.02221
40-0.260417-1.94880.028169
41-0.246699-1.84610.035081
42-0.235976-1.76590.041433
43-0.224042-1.67660.0496
44-0.210897-1.57820.060075
45-0.194936-1.45880.075108
46-0.177633-1.32930.094573
47-0.161719-1.21020.115644
48-0.149484-1.11860.134035
49-0.135044-1.01060.158283
50-0.121861-0.91190.182858
51-0.106342-0.79580.214758
52-0.090822-0.67960.249764
53-0.071622-0.5360.29705
54-0.047748-0.35730.3611
55-0.023874-0.17870.429426
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9632917.20860
2-0.137222-1.02690.154447
3-0.119786-0.89640.186939
4-0.072061-0.53930.295925
50.0087880.06580.473901
6-0.056587-0.42350.336791
7-0.062862-0.47040.319942
8-0.058054-0.43440.332822
9-0.034125-0.25540.399687
10-0.116999-0.87550.19251
11-0.042776-0.32010.375041
120.015550.11640.453891
130.0054810.0410.483714
14-0.032428-0.24270.404576
15-0.024244-0.18140.428344
16-0.069064-0.51680.303655
17-0.055403-0.41460.34001
18-0.097461-0.72930.23442
19-0.011171-0.08360.466839
20-0.099315-0.74320.230233
210.0275940.20650.418577
22-0.00363-0.02720.489213
23-0.037161-0.27810.390986
240.1096630.82060.207665
250.0777210.58160.281582
26-0.058172-0.43530.332501
270.0952420.71270.239487
28-0.044942-0.33630.368946
29-0.126923-0.94980.173147
30-0.030675-0.22960.409639
310.0850990.63680.263418
32-0.039565-0.29610.384132
33-0.034036-0.25470.399942
340.0512830.38380.351301
35-0.047579-0.3560.361571
36-0.050134-0.37520.354477
370.0816820.61130.271753
38-0.042798-0.32030.374979
39-0.024138-0.18060.428654
40-0.084041-0.62890.265983
41-0.046241-0.3460.365305
42-0.078242-0.58550.280278
43-0.00592-0.04430.48241
440.0080740.06040.476018
450.0785870.58810.279418
46-0.022769-0.17040.432661
47-0.003303-0.02470.490183
48-0.031835-0.23820.406287
490.0403210.30170.381987
50-0.019339-0.14470.442725
510.0662940.49610.310882
52-0.061434-0.45970.323746
530.0347370.25990.397928
540.0839620.62830.266176
55-0.000758-0.00570.497748
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.963291 & 7.2086 & 0 \tabularnewline
2 & -0.137222 & -1.0269 & 0.154447 \tabularnewline
3 & -0.119786 & -0.8964 & 0.186939 \tabularnewline
4 & -0.072061 & -0.5393 & 0.295925 \tabularnewline
5 & 0.008788 & 0.0658 & 0.473901 \tabularnewline
6 & -0.056587 & -0.4235 & 0.336791 \tabularnewline
7 & -0.062862 & -0.4704 & 0.319942 \tabularnewline
8 & -0.058054 & -0.4344 & 0.332822 \tabularnewline
9 & -0.034125 & -0.2554 & 0.399687 \tabularnewline
10 & -0.116999 & -0.8755 & 0.19251 \tabularnewline
11 & -0.042776 & -0.3201 & 0.375041 \tabularnewline
12 & 0.01555 & 0.1164 & 0.453891 \tabularnewline
13 & 0.005481 & 0.041 & 0.483714 \tabularnewline
14 & -0.032428 & -0.2427 & 0.404576 \tabularnewline
15 & -0.024244 & -0.1814 & 0.428344 \tabularnewline
16 & -0.069064 & -0.5168 & 0.303655 \tabularnewline
17 & -0.055403 & -0.4146 & 0.34001 \tabularnewline
18 & -0.097461 & -0.7293 & 0.23442 \tabularnewline
19 & -0.011171 & -0.0836 & 0.466839 \tabularnewline
20 & -0.099315 & -0.7432 & 0.230233 \tabularnewline
21 & 0.027594 & 0.2065 & 0.418577 \tabularnewline
22 & -0.00363 & -0.0272 & 0.489213 \tabularnewline
23 & -0.037161 & -0.2781 & 0.390986 \tabularnewline
24 & 0.109663 & 0.8206 & 0.207665 \tabularnewline
25 & 0.077721 & 0.5816 & 0.281582 \tabularnewline
26 & -0.058172 & -0.4353 & 0.332501 \tabularnewline
27 & 0.095242 & 0.7127 & 0.239487 \tabularnewline
28 & -0.044942 & -0.3363 & 0.368946 \tabularnewline
29 & -0.126923 & -0.9498 & 0.173147 \tabularnewline
30 & -0.030675 & -0.2296 & 0.409639 \tabularnewline
31 & 0.085099 & 0.6368 & 0.263418 \tabularnewline
32 & -0.039565 & -0.2961 & 0.384132 \tabularnewline
33 & -0.034036 & -0.2547 & 0.399942 \tabularnewline
34 & 0.051283 & 0.3838 & 0.351301 \tabularnewline
35 & -0.047579 & -0.356 & 0.361571 \tabularnewline
36 & -0.050134 & -0.3752 & 0.354477 \tabularnewline
37 & 0.081682 & 0.6113 & 0.271753 \tabularnewline
38 & -0.042798 & -0.3203 & 0.374979 \tabularnewline
39 & -0.024138 & -0.1806 & 0.428654 \tabularnewline
40 & -0.084041 & -0.6289 & 0.265983 \tabularnewline
41 & -0.046241 & -0.346 & 0.365305 \tabularnewline
42 & -0.078242 & -0.5855 & 0.280278 \tabularnewline
43 & -0.00592 & -0.0443 & 0.48241 \tabularnewline
44 & 0.008074 & 0.0604 & 0.476018 \tabularnewline
45 & 0.078587 & 0.5881 & 0.279418 \tabularnewline
46 & -0.022769 & -0.1704 & 0.432661 \tabularnewline
47 & -0.003303 & -0.0247 & 0.490183 \tabularnewline
48 & -0.031835 & -0.2382 & 0.406287 \tabularnewline
49 & 0.040321 & 0.3017 & 0.381987 \tabularnewline
50 & -0.019339 & -0.1447 & 0.442725 \tabularnewline
51 & 0.066294 & 0.4961 & 0.310882 \tabularnewline
52 & -0.061434 & -0.4597 & 0.323746 \tabularnewline
53 & 0.034737 & 0.2599 & 0.397928 \tabularnewline
54 & 0.083962 & 0.6283 & 0.266176 \tabularnewline
55 & -0.000758 & -0.0057 & 0.497748 \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105572&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]0.963291[/C][C]7.2086[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.137222[/C][C]-1.0269[/C][C]0.154447[/C][/ROW]
[ROW][C]3[/C][C]-0.119786[/C][C]-0.8964[/C][C]0.186939[/C][/ROW]
[ROW][C]4[/C][C]-0.072061[/C][C]-0.5393[/C][C]0.295925[/C][/ROW]
[ROW][C]5[/C][C]0.008788[/C][C]0.0658[/C][C]0.473901[/C][/ROW]
[ROW][C]6[/C][C]-0.056587[/C][C]-0.4235[/C][C]0.336791[/C][/ROW]
[ROW][C]7[/C][C]-0.062862[/C][C]-0.4704[/C][C]0.319942[/C][/ROW]
[ROW][C]8[/C][C]-0.058054[/C][C]-0.4344[/C][C]0.332822[/C][/ROW]
[ROW][C]9[/C][C]-0.034125[/C][C]-0.2554[/C][C]0.399687[/C][/ROW]
[ROW][C]10[/C][C]-0.116999[/C][C]-0.8755[/C][C]0.19251[/C][/ROW]
[ROW][C]11[/C][C]-0.042776[/C][C]-0.3201[/C][C]0.375041[/C][/ROW]
[ROW][C]12[/C][C]0.01555[/C][C]0.1164[/C][C]0.453891[/C][/ROW]
[ROW][C]13[/C][C]0.005481[/C][C]0.041[/C][C]0.483714[/C][/ROW]
[ROW][C]14[/C][C]-0.032428[/C][C]-0.2427[/C][C]0.404576[/C][/ROW]
[ROW][C]15[/C][C]-0.024244[/C][C]-0.1814[/C][C]0.428344[/C][/ROW]
[ROW][C]16[/C][C]-0.069064[/C][C]-0.5168[/C][C]0.303655[/C][/ROW]
[ROW][C]17[/C][C]-0.055403[/C][C]-0.4146[/C][C]0.34001[/C][/ROW]
[ROW][C]18[/C][C]-0.097461[/C][C]-0.7293[/C][C]0.23442[/C][/ROW]
[ROW][C]19[/C][C]-0.011171[/C][C]-0.0836[/C][C]0.466839[/C][/ROW]
[ROW][C]20[/C][C]-0.099315[/C][C]-0.7432[/C][C]0.230233[/C][/ROW]
[ROW][C]21[/C][C]0.027594[/C][C]0.2065[/C][C]0.418577[/C][/ROW]
[ROW][C]22[/C][C]-0.00363[/C][C]-0.0272[/C][C]0.489213[/C][/ROW]
[ROW][C]23[/C][C]-0.037161[/C][C]-0.2781[/C][C]0.390986[/C][/ROW]
[ROW][C]24[/C][C]0.109663[/C][C]0.8206[/C][C]0.207665[/C][/ROW]
[ROW][C]25[/C][C]0.077721[/C][C]0.5816[/C][C]0.281582[/C][/ROW]
[ROW][C]26[/C][C]-0.058172[/C][C]-0.4353[/C][C]0.332501[/C][/ROW]
[ROW][C]27[/C][C]0.095242[/C][C]0.7127[/C][C]0.239487[/C][/ROW]
[ROW][C]28[/C][C]-0.044942[/C][C]-0.3363[/C][C]0.368946[/C][/ROW]
[ROW][C]29[/C][C]-0.126923[/C][C]-0.9498[/C][C]0.173147[/C][/ROW]
[ROW][C]30[/C][C]-0.030675[/C][C]-0.2296[/C][C]0.409639[/C][/ROW]
[ROW][C]31[/C][C]0.085099[/C][C]0.6368[/C][C]0.263418[/C][/ROW]
[ROW][C]32[/C][C]-0.039565[/C][C]-0.2961[/C][C]0.384132[/C][/ROW]
[ROW][C]33[/C][C]-0.034036[/C][C]-0.2547[/C][C]0.399942[/C][/ROW]
[ROW][C]34[/C][C]0.051283[/C][C]0.3838[/C][C]0.351301[/C][/ROW]
[ROW][C]35[/C][C]-0.047579[/C][C]-0.356[/C][C]0.361571[/C][/ROW]
[ROW][C]36[/C][C]-0.050134[/C][C]-0.3752[/C][C]0.354477[/C][/ROW]
[ROW][C]37[/C][C]0.081682[/C][C]0.6113[/C][C]0.271753[/C][/ROW]
[ROW][C]38[/C][C]-0.042798[/C][C]-0.3203[/C][C]0.374979[/C][/ROW]
[ROW][C]39[/C][C]-0.024138[/C][C]-0.1806[/C][C]0.428654[/C][/ROW]
[ROW][C]40[/C][C]-0.084041[/C][C]-0.6289[/C][C]0.265983[/C][/ROW]
[ROW][C]41[/C][C]-0.046241[/C][C]-0.346[/C][C]0.365305[/C][/ROW]
[ROW][C]42[/C][C]-0.078242[/C][C]-0.5855[/C][C]0.280278[/C][/ROW]
[ROW][C]43[/C][C]-0.00592[/C][C]-0.0443[/C][C]0.48241[/C][/ROW]
[ROW][C]44[/C][C]0.008074[/C][C]0.0604[/C][C]0.476018[/C][/ROW]
[ROW][C]45[/C][C]0.078587[/C][C]0.5881[/C][C]0.279418[/C][/ROW]
[ROW][C]46[/C][C]-0.022769[/C][C]-0.1704[/C][C]0.432661[/C][/ROW]
[ROW][C]47[/C][C]-0.003303[/C][C]-0.0247[/C][C]0.490183[/C][/ROW]
[ROW][C]48[/C][C]-0.031835[/C][C]-0.2382[/C][C]0.406287[/C][/ROW]
[ROW][C]49[/C][C]0.040321[/C][C]0.3017[/C][C]0.381987[/C][/ROW]
[ROW][C]50[/C][C]-0.019339[/C][C]-0.1447[/C][C]0.442725[/C][/ROW]
[ROW][C]51[/C][C]0.066294[/C][C]0.4961[/C][C]0.310882[/C][/ROW]
[ROW][C]52[/C][C]-0.061434[/C][C]-0.4597[/C][C]0.323746[/C][/ROW]
[ROW][C]53[/C][C]0.034737[/C][C]0.2599[/C][C]0.397928[/C][/ROW]
[ROW][C]54[/C][C]0.083962[/C][C]0.6283[/C][C]0.266176[/C][/ROW]
[ROW][C]55[/C][C]-0.000758[/C][C]-0.0057[/C][C]0.497748[/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]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105572&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105572&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
10.9632917.20860
2-0.137222-1.02690.154447
3-0.119786-0.89640.186939
4-0.072061-0.53930.295925
50.0087880.06580.473901
6-0.056587-0.42350.336791
7-0.062862-0.47040.319942
8-0.058054-0.43440.332822
9-0.034125-0.25540.399687
10-0.116999-0.87550.19251
11-0.042776-0.32010.375041
120.015550.11640.453891
130.0054810.0410.483714
14-0.032428-0.24270.404576
15-0.024244-0.18140.428344
16-0.069064-0.51680.303655
17-0.055403-0.41460.34001
18-0.097461-0.72930.23442
19-0.011171-0.08360.466839
20-0.099315-0.74320.230233
210.0275940.20650.418577
22-0.00363-0.02720.489213
23-0.037161-0.27810.390986
240.1096630.82060.207665
250.0777210.58160.281582
26-0.058172-0.43530.332501
270.0952420.71270.239487
28-0.044942-0.33630.368946
29-0.126923-0.94980.173147
30-0.030675-0.22960.409639
310.0850990.63680.263418
32-0.039565-0.29610.384132
33-0.034036-0.25470.399942
340.0512830.38380.351301
35-0.047579-0.3560.361571
36-0.050134-0.37520.354477
370.0816820.61130.271753
38-0.042798-0.32030.374979
39-0.024138-0.18060.428654
40-0.084041-0.62890.265983
41-0.046241-0.3460.365305
42-0.078242-0.58550.280278
43-0.00592-0.04430.48241
440.0080740.06040.476018
450.0785870.58810.279418
46-0.022769-0.17040.432661
47-0.003303-0.02470.490183
48-0.031835-0.23820.406287
490.0403210.30170.381987
50-0.019339-0.14470.442725
510.0662940.49610.310882
52-0.061434-0.45970.323746
530.0347370.25990.397928
540.0839620.62830.266176
55-0.000758-0.00570.497748
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')