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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 computationTue, 09 Dec 2008 09:11:56 -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/09/t1228839154q7gnznuae8u9ryd.htm/, Retrieved Tue, 14 May 2024 21:34:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31554, Retrieved Tue, 14 May 2024 21:34:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181
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] [3fc0b50a130253095e963177b0139835] [Current]
-  MPD      [(Partial) Autocorrelation Function] [Autocorrelatie Bloem] [2010-12-06 13:14:29] [ff7c1e95cf99a1dae07ec89975494dde]
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Dataseries X:
101.02
100.67
100.47
100.38
100.33
100.34
100.37
100.39
100.21
100.21
100.22
100.28
100.25
100.25
100.21
100.16
100.18
100.1
99.96
99.88
99.88
99.86
99.84
99.8
99.82
99.81
99.92
100.03
99.99
100.02
100.01
100.13
100.33
100.13
99.96
100.05
99.83
99.8
100.01
100.1
100.13
100.16
100.41
101.34
101.65
101.85
102.07
102.12
102.14
102.21
102.28
102.19
102.33
102.54
102.44
102.78
102.9
103.08
102.77
102.65
102.71
103.29
102.86
103.45
103.72
103.65
103.83
104.45
105.14
105.07
105.31
105.19
105.3
105.02
105.17
105.28
105.45
105.38
105.8
105.96
105.08
105.11
105.61
105.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31554&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31554&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31554&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9730768.91840
20.9423818.63710
30.9162068.39720
40.8874278.13340
50.8463797.75720
60.8075557.40140
70.7720527.0760
80.7333196.7210
90.6947346.36730
100.6574586.02570
110.6221695.70230
120.5801415.31710
130.5386224.93652e-06
140.4959954.54599e-06
150.4538634.15973.8e-05
160.4077353.7370.000169
170.3698253.38950.000534
180.3376233.09440.001339
190.3029582.77670.003385
200.2680422.45660.008042
210.2357122.16030.016798
220.2063851.89150.030999
230.1705761.56340.060864
240.1392941.27670.102621
250.107390.98420.163911
260.0724240.66380.254327
270.0331240.30360.381096
28-0.00325-0.02980.488154
29-0.037878-0.34720.36467
30-0.070559-0.64670.259799
31-0.103325-0.9470.173181
32-0.133163-1.22050.112853
33-0.162364-1.48810.070236
34-0.193597-1.77430.039815
35-0.223704-2.05030.021727
36-0.253386-2.32230.011318
37-0.283992-2.60280.005464
38-0.312581-2.86490.002635
39-0.337902-3.09690.001329
40-0.362085-3.31860.00067
41-0.383077-3.5110.00036
42-0.393713-3.60840.000261
43-0.399034-3.65720.000222
44-0.401518-3.680.000205
45-0.403323-3.69650.000194
46-0.402475-3.68870.000199
47-0.398796-3.6550.000223
48-0.395797-3.62750.000245
49-0.393927-3.61040.000259
50-0.389812-3.57270.000294
51-0.387557-3.5520.000315
52-0.387187-3.54860.000318
53-0.384307-3.52220.000347
54-0.378869-3.47240.000409
55-0.37328-3.42120.000483
56-0.36631-3.35730.000592
57-0.359409-3.2940.000723
58-0.35134-3.22010.000911
59-0.342867-3.14240.001157
60-0.334071-3.06180.001477

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.973076 & 8.9184 & 0 \tabularnewline
2 & 0.942381 & 8.6371 & 0 \tabularnewline
3 & 0.916206 & 8.3972 & 0 \tabularnewline
4 & 0.887427 & 8.1334 & 0 \tabularnewline
5 & 0.846379 & 7.7572 & 0 \tabularnewline
6 & 0.807555 & 7.4014 & 0 \tabularnewline
7 & 0.772052 & 7.076 & 0 \tabularnewline
8 & 0.733319 & 6.721 & 0 \tabularnewline
9 & 0.694734 & 6.3673 & 0 \tabularnewline
10 & 0.657458 & 6.0257 & 0 \tabularnewline
11 & 0.622169 & 5.7023 & 0 \tabularnewline
12 & 0.580141 & 5.3171 & 0 \tabularnewline
13 & 0.538622 & 4.9365 & 2e-06 \tabularnewline
14 & 0.495995 & 4.5459 & 9e-06 \tabularnewline
15 & 0.453863 & 4.1597 & 3.8e-05 \tabularnewline
16 & 0.407735 & 3.737 & 0.000169 \tabularnewline
17 & 0.369825 & 3.3895 & 0.000534 \tabularnewline
18 & 0.337623 & 3.0944 & 0.001339 \tabularnewline
19 & 0.302958 & 2.7767 & 0.003385 \tabularnewline
20 & 0.268042 & 2.4566 & 0.008042 \tabularnewline
21 & 0.235712 & 2.1603 & 0.016798 \tabularnewline
22 & 0.206385 & 1.8915 & 0.030999 \tabularnewline
23 & 0.170576 & 1.5634 & 0.060864 \tabularnewline
24 & 0.139294 & 1.2767 & 0.102621 \tabularnewline
25 & 0.10739 & 0.9842 & 0.163911 \tabularnewline
26 & 0.072424 & 0.6638 & 0.254327 \tabularnewline
27 & 0.033124 & 0.3036 & 0.381096 \tabularnewline
28 & -0.00325 & -0.0298 & 0.488154 \tabularnewline
29 & -0.037878 & -0.3472 & 0.36467 \tabularnewline
30 & -0.070559 & -0.6467 & 0.259799 \tabularnewline
31 & -0.103325 & -0.947 & 0.173181 \tabularnewline
32 & -0.133163 & -1.2205 & 0.112853 \tabularnewline
33 & -0.162364 & -1.4881 & 0.070236 \tabularnewline
34 & -0.193597 & -1.7743 & 0.039815 \tabularnewline
35 & -0.223704 & -2.0503 & 0.021727 \tabularnewline
36 & -0.253386 & -2.3223 & 0.011318 \tabularnewline
37 & -0.283992 & -2.6028 & 0.005464 \tabularnewline
38 & -0.312581 & -2.8649 & 0.002635 \tabularnewline
39 & -0.337902 & -3.0969 & 0.001329 \tabularnewline
40 & -0.362085 & -3.3186 & 0.00067 \tabularnewline
41 & -0.383077 & -3.511 & 0.00036 \tabularnewline
42 & -0.393713 & -3.6084 & 0.000261 \tabularnewline
43 & -0.399034 & -3.6572 & 0.000222 \tabularnewline
44 & -0.401518 & -3.68 & 0.000205 \tabularnewline
45 & -0.403323 & -3.6965 & 0.000194 \tabularnewline
46 & -0.402475 & -3.6887 & 0.000199 \tabularnewline
47 & -0.398796 & -3.655 & 0.000223 \tabularnewline
48 & -0.395797 & -3.6275 & 0.000245 \tabularnewline
49 & -0.393927 & -3.6104 & 0.000259 \tabularnewline
50 & -0.389812 & -3.5727 & 0.000294 \tabularnewline
51 & -0.387557 & -3.552 & 0.000315 \tabularnewline
52 & -0.387187 & -3.5486 & 0.000318 \tabularnewline
53 & -0.384307 & -3.5222 & 0.000347 \tabularnewline
54 & -0.378869 & -3.4724 & 0.000409 \tabularnewline
55 & -0.37328 & -3.4212 & 0.000483 \tabularnewline
56 & -0.36631 & -3.3573 & 0.000592 \tabularnewline
57 & -0.359409 & -3.294 & 0.000723 \tabularnewline
58 & -0.35134 & -3.2201 & 0.000911 \tabularnewline
59 & -0.342867 & -3.1424 & 0.001157 \tabularnewline
60 & -0.334071 & -3.0618 & 0.001477 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31554&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]0.973076[/C][C]8.9184[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.942381[/C][C]8.6371[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.916206[/C][C]8.3972[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.887427[/C][C]8.1334[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.846379[/C][C]7.7572[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.807555[/C][C]7.4014[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.772052[/C][C]7.076[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.733319[/C][C]6.721[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.694734[/C][C]6.3673[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.657458[/C][C]6.0257[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.622169[/C][C]5.7023[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.580141[/C][C]5.3171[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.538622[/C][C]4.9365[/C][C]2e-06[/C][/ROW]
[ROW][C]14[/C][C]0.495995[/C][C]4.5459[/C][C]9e-06[/C][/ROW]
[ROW][C]15[/C][C]0.453863[/C][C]4.1597[/C][C]3.8e-05[/C][/ROW]
[ROW][C]16[/C][C]0.407735[/C][C]3.737[/C][C]0.000169[/C][/ROW]
[ROW][C]17[/C][C]0.369825[/C][C]3.3895[/C][C]0.000534[/C][/ROW]
[ROW][C]18[/C][C]0.337623[/C][C]3.0944[/C][C]0.001339[/C][/ROW]
[ROW][C]19[/C][C]0.302958[/C][C]2.7767[/C][C]0.003385[/C][/ROW]
[ROW][C]20[/C][C]0.268042[/C][C]2.4566[/C][C]0.008042[/C][/ROW]
[ROW][C]21[/C][C]0.235712[/C][C]2.1603[/C][C]0.016798[/C][/ROW]
[ROW][C]22[/C][C]0.206385[/C][C]1.8915[/C][C]0.030999[/C][/ROW]
[ROW][C]23[/C][C]0.170576[/C][C]1.5634[/C][C]0.060864[/C][/ROW]
[ROW][C]24[/C][C]0.139294[/C][C]1.2767[/C][C]0.102621[/C][/ROW]
[ROW][C]25[/C][C]0.10739[/C][C]0.9842[/C][C]0.163911[/C][/ROW]
[ROW][C]26[/C][C]0.072424[/C][C]0.6638[/C][C]0.254327[/C][/ROW]
[ROW][C]27[/C][C]0.033124[/C][C]0.3036[/C][C]0.381096[/C][/ROW]
[ROW][C]28[/C][C]-0.00325[/C][C]-0.0298[/C][C]0.488154[/C][/ROW]
[ROW][C]29[/C][C]-0.037878[/C][C]-0.3472[/C][C]0.36467[/C][/ROW]
[ROW][C]30[/C][C]-0.070559[/C][C]-0.6467[/C][C]0.259799[/C][/ROW]
[ROW][C]31[/C][C]-0.103325[/C][C]-0.947[/C][C]0.173181[/C][/ROW]
[ROW][C]32[/C][C]-0.133163[/C][C]-1.2205[/C][C]0.112853[/C][/ROW]
[ROW][C]33[/C][C]-0.162364[/C][C]-1.4881[/C][C]0.070236[/C][/ROW]
[ROW][C]34[/C][C]-0.193597[/C][C]-1.7743[/C][C]0.039815[/C][/ROW]
[ROW][C]35[/C][C]-0.223704[/C][C]-2.0503[/C][C]0.021727[/C][/ROW]
[ROW][C]36[/C][C]-0.253386[/C][C]-2.3223[/C][C]0.011318[/C][/ROW]
[ROW][C]37[/C][C]-0.283992[/C][C]-2.6028[/C][C]0.005464[/C][/ROW]
[ROW][C]38[/C][C]-0.312581[/C][C]-2.8649[/C][C]0.002635[/C][/ROW]
[ROW][C]39[/C][C]-0.337902[/C][C]-3.0969[/C][C]0.001329[/C][/ROW]
[ROW][C]40[/C][C]-0.362085[/C][C]-3.3186[/C][C]0.00067[/C][/ROW]
[ROW][C]41[/C][C]-0.383077[/C][C]-3.511[/C][C]0.00036[/C][/ROW]
[ROW][C]42[/C][C]-0.393713[/C][C]-3.6084[/C][C]0.000261[/C][/ROW]
[ROW][C]43[/C][C]-0.399034[/C][C]-3.6572[/C][C]0.000222[/C][/ROW]
[ROW][C]44[/C][C]-0.401518[/C][C]-3.68[/C][C]0.000205[/C][/ROW]
[ROW][C]45[/C][C]-0.403323[/C][C]-3.6965[/C][C]0.000194[/C][/ROW]
[ROW][C]46[/C][C]-0.402475[/C][C]-3.6887[/C][C]0.000199[/C][/ROW]
[ROW][C]47[/C][C]-0.398796[/C][C]-3.655[/C][C]0.000223[/C][/ROW]
[ROW][C]48[/C][C]-0.395797[/C][C]-3.6275[/C][C]0.000245[/C][/ROW]
[ROW][C]49[/C][C]-0.393927[/C][C]-3.6104[/C][C]0.000259[/C][/ROW]
[ROW][C]50[/C][C]-0.389812[/C][C]-3.5727[/C][C]0.000294[/C][/ROW]
[ROW][C]51[/C][C]-0.387557[/C][C]-3.552[/C][C]0.000315[/C][/ROW]
[ROW][C]52[/C][C]-0.387187[/C][C]-3.5486[/C][C]0.000318[/C][/ROW]
[ROW][C]53[/C][C]-0.384307[/C][C]-3.5222[/C][C]0.000347[/C][/ROW]
[ROW][C]54[/C][C]-0.378869[/C][C]-3.4724[/C][C]0.000409[/C][/ROW]
[ROW][C]55[/C][C]-0.37328[/C][C]-3.4212[/C][C]0.000483[/C][/ROW]
[ROW][C]56[/C][C]-0.36631[/C][C]-3.3573[/C][C]0.000592[/C][/ROW]
[ROW][C]57[/C][C]-0.359409[/C][C]-3.294[/C][C]0.000723[/C][/ROW]
[ROW][C]58[/C][C]-0.35134[/C][C]-3.2201[/C][C]0.000911[/C][/ROW]
[ROW][C]59[/C][C]-0.342867[/C][C]-3.1424[/C][C]0.001157[/C][/ROW]
[ROW][C]60[/C][C]-0.334071[/C][C]-3.0618[/C][C]0.001477[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31554&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31554&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
10.9730768.91840
20.9423818.63710
30.9162068.39720
40.8874278.13340
50.8463797.75720
60.8075557.40140
70.7720527.0760
80.7333196.7210
90.6947346.36730
100.6574586.02570
110.6221695.70230
120.5801415.31710
130.5386224.93652e-06
140.4959954.54599e-06
150.4538634.15973.8e-05
160.4077353.7370.000169
170.3698253.38950.000534
180.3376233.09440.001339
190.3029582.77670.003385
200.2680422.45660.008042
210.2357122.16030.016798
220.2063851.89150.030999
230.1705761.56340.060864
240.1392941.27670.102621
250.107390.98420.163911
260.0724240.66380.254327
270.0331240.30360.381096
28-0.00325-0.02980.488154
29-0.037878-0.34720.36467
30-0.070559-0.64670.259799
31-0.103325-0.9470.173181
32-0.133163-1.22050.112853
33-0.162364-1.48810.070236
34-0.193597-1.77430.039815
35-0.223704-2.05030.021727
36-0.253386-2.32230.011318
37-0.283992-2.60280.005464
38-0.312581-2.86490.002635
39-0.337902-3.09690.001329
40-0.362085-3.31860.00067
41-0.383077-3.5110.00036
42-0.393713-3.60840.000261
43-0.399034-3.65720.000222
44-0.401518-3.680.000205
45-0.403323-3.69650.000194
46-0.402475-3.68870.000199
47-0.398796-3.6550.000223
48-0.395797-3.62750.000245
49-0.393927-3.61040.000259
50-0.389812-3.57270.000294
51-0.387557-3.5520.000315
52-0.387187-3.54860.000318
53-0.384307-3.52220.000347
54-0.378869-3.47240.000409
55-0.37328-3.42120.000483
56-0.36631-3.35730.000592
57-0.359409-3.2940.000723
58-0.35134-3.22010.000911
59-0.342867-3.14240.001157
60-0.334071-3.06180.001477







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9730768.91840
2-0.084627-0.77560.220076
30.0747590.68520.247559
4-0.076153-0.6980.243567
5-0.234131-2.14580.017385
60.0460250.42180.337115
70.0007660.0070.497207
8-0.063672-0.58360.28054
90.0439230.40260.344145
10-0.038065-0.34890.36403
110.0075190.06890.47261
12-0.13606-1.2470.10793
13-0.012473-0.11430.454631
14-0.075809-0.69480.24455
15-0.013842-0.12690.449675
16-0.064686-0.59290.277435
170.1377061.26210.105203
180.0598360.54840.292435
19-0.058815-0.5390.29564
20-0.006077-0.05570.477858
21-0.063034-0.57770.282501
22-0.011398-0.10450.458523
23-0.110441-1.01220.157173
240.069380.63590.263292
25-0.065641-0.60160.274528
26-0.079754-0.7310.23342
27-0.050958-0.4670.32084
28-0.054013-0.4950.310933
29-0.014867-0.13630.445972
300.0370430.33950.367539
31-0.042191-0.38670.349984
320.017410.15960.436804
33-0.052527-0.48140.315734
34-0.035263-0.32320.373677
35-0.043892-0.40230.344252
36-0.045665-0.41850.338315
37-0.065513-0.60040.274917
380.0706750.64770.259457
39-0.028355-0.25990.397798
400.0100130.09180.46355
410.0444070.4070.342524
420.1204091.10360.136466
430.0123510.11320.455073
440.0380180.34840.364189
45-0.028223-0.25870.398261
46-0.03647-0.33430.369511
470.0345060.31620.376299
48-0.035797-0.32810.371831
49-0.032689-0.29960.382613
500.0130550.11960.452523
51-0.094932-0.87010.193373
52-0.037922-0.34760.364519
530.0028720.02630.48953
54-0.021442-0.19650.422338
550.007880.07220.471298
560.0247890.22720.410411
57-0.06812-0.62430.26705
580.0579510.53110.298365
590.0344010.31530.376661
60-0.026653-0.24430.403806

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.973076 & 8.9184 & 0 \tabularnewline
2 & -0.084627 & -0.7756 & 0.220076 \tabularnewline
3 & 0.074759 & 0.6852 & 0.247559 \tabularnewline
4 & -0.076153 & -0.698 & 0.243567 \tabularnewline
5 & -0.234131 & -2.1458 & 0.017385 \tabularnewline
6 & 0.046025 & 0.4218 & 0.337115 \tabularnewline
7 & 0.000766 & 0.007 & 0.497207 \tabularnewline
8 & -0.063672 & -0.5836 & 0.28054 \tabularnewline
9 & 0.043923 & 0.4026 & 0.344145 \tabularnewline
10 & -0.038065 & -0.3489 & 0.36403 \tabularnewline
11 & 0.007519 & 0.0689 & 0.47261 \tabularnewline
12 & -0.13606 & -1.247 & 0.10793 \tabularnewline
13 & -0.012473 & -0.1143 & 0.454631 \tabularnewline
14 & -0.075809 & -0.6948 & 0.24455 \tabularnewline
15 & -0.013842 & -0.1269 & 0.449675 \tabularnewline
16 & -0.064686 & -0.5929 & 0.277435 \tabularnewline
17 & 0.137706 & 1.2621 & 0.105203 \tabularnewline
18 & 0.059836 & 0.5484 & 0.292435 \tabularnewline
19 & -0.058815 & -0.539 & 0.29564 \tabularnewline
20 & -0.006077 & -0.0557 & 0.477858 \tabularnewline
21 & -0.063034 & -0.5777 & 0.282501 \tabularnewline
22 & -0.011398 & -0.1045 & 0.458523 \tabularnewline
23 & -0.110441 & -1.0122 & 0.157173 \tabularnewline
24 & 0.06938 & 0.6359 & 0.263292 \tabularnewline
25 & -0.065641 & -0.6016 & 0.274528 \tabularnewline
26 & -0.079754 & -0.731 & 0.23342 \tabularnewline
27 & -0.050958 & -0.467 & 0.32084 \tabularnewline
28 & -0.054013 & -0.495 & 0.310933 \tabularnewline
29 & -0.014867 & -0.1363 & 0.445972 \tabularnewline
30 & 0.037043 & 0.3395 & 0.367539 \tabularnewline
31 & -0.042191 & -0.3867 & 0.349984 \tabularnewline
32 & 0.01741 & 0.1596 & 0.436804 \tabularnewline
33 & -0.052527 & -0.4814 & 0.315734 \tabularnewline
34 & -0.035263 & -0.3232 & 0.373677 \tabularnewline
35 & -0.043892 & -0.4023 & 0.344252 \tabularnewline
36 & -0.045665 & -0.4185 & 0.338315 \tabularnewline
37 & -0.065513 & -0.6004 & 0.274917 \tabularnewline
38 & 0.070675 & 0.6477 & 0.259457 \tabularnewline
39 & -0.028355 & -0.2599 & 0.397798 \tabularnewline
40 & 0.010013 & 0.0918 & 0.46355 \tabularnewline
41 & 0.044407 & 0.407 & 0.342524 \tabularnewline
42 & 0.120409 & 1.1036 & 0.136466 \tabularnewline
43 & 0.012351 & 0.1132 & 0.455073 \tabularnewline
44 & 0.038018 & 0.3484 & 0.364189 \tabularnewline
45 & -0.028223 & -0.2587 & 0.398261 \tabularnewline
46 & -0.03647 & -0.3343 & 0.369511 \tabularnewline
47 & 0.034506 & 0.3162 & 0.376299 \tabularnewline
48 & -0.035797 & -0.3281 & 0.371831 \tabularnewline
49 & -0.032689 & -0.2996 & 0.382613 \tabularnewline
50 & 0.013055 & 0.1196 & 0.452523 \tabularnewline
51 & -0.094932 & -0.8701 & 0.193373 \tabularnewline
52 & -0.037922 & -0.3476 & 0.364519 \tabularnewline
53 & 0.002872 & 0.0263 & 0.48953 \tabularnewline
54 & -0.021442 & -0.1965 & 0.422338 \tabularnewline
55 & 0.00788 & 0.0722 & 0.471298 \tabularnewline
56 & 0.024789 & 0.2272 & 0.410411 \tabularnewline
57 & -0.06812 & -0.6243 & 0.26705 \tabularnewline
58 & 0.057951 & 0.5311 & 0.298365 \tabularnewline
59 & 0.034401 & 0.3153 & 0.376661 \tabularnewline
60 & -0.026653 & -0.2443 & 0.403806 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31554&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]0.973076[/C][C]8.9184[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.084627[/C][C]-0.7756[/C][C]0.220076[/C][/ROW]
[ROW][C]3[/C][C]0.074759[/C][C]0.6852[/C][C]0.247559[/C][/ROW]
[ROW][C]4[/C][C]-0.076153[/C][C]-0.698[/C][C]0.243567[/C][/ROW]
[ROW][C]5[/C][C]-0.234131[/C][C]-2.1458[/C][C]0.017385[/C][/ROW]
[ROW][C]6[/C][C]0.046025[/C][C]0.4218[/C][C]0.337115[/C][/ROW]
[ROW][C]7[/C][C]0.000766[/C][C]0.007[/C][C]0.497207[/C][/ROW]
[ROW][C]8[/C][C]-0.063672[/C][C]-0.5836[/C][C]0.28054[/C][/ROW]
[ROW][C]9[/C][C]0.043923[/C][C]0.4026[/C][C]0.344145[/C][/ROW]
[ROW][C]10[/C][C]-0.038065[/C][C]-0.3489[/C][C]0.36403[/C][/ROW]
[ROW][C]11[/C][C]0.007519[/C][C]0.0689[/C][C]0.47261[/C][/ROW]
[ROW][C]12[/C][C]-0.13606[/C][C]-1.247[/C][C]0.10793[/C][/ROW]
[ROW][C]13[/C][C]-0.012473[/C][C]-0.1143[/C][C]0.454631[/C][/ROW]
[ROW][C]14[/C][C]-0.075809[/C][C]-0.6948[/C][C]0.24455[/C][/ROW]
[ROW][C]15[/C][C]-0.013842[/C][C]-0.1269[/C][C]0.449675[/C][/ROW]
[ROW][C]16[/C][C]-0.064686[/C][C]-0.5929[/C][C]0.277435[/C][/ROW]
[ROW][C]17[/C][C]0.137706[/C][C]1.2621[/C][C]0.105203[/C][/ROW]
[ROW][C]18[/C][C]0.059836[/C][C]0.5484[/C][C]0.292435[/C][/ROW]
[ROW][C]19[/C][C]-0.058815[/C][C]-0.539[/C][C]0.29564[/C][/ROW]
[ROW][C]20[/C][C]-0.006077[/C][C]-0.0557[/C][C]0.477858[/C][/ROW]
[ROW][C]21[/C][C]-0.063034[/C][C]-0.5777[/C][C]0.282501[/C][/ROW]
[ROW][C]22[/C][C]-0.011398[/C][C]-0.1045[/C][C]0.458523[/C][/ROW]
[ROW][C]23[/C][C]-0.110441[/C][C]-1.0122[/C][C]0.157173[/C][/ROW]
[ROW][C]24[/C][C]0.06938[/C][C]0.6359[/C][C]0.263292[/C][/ROW]
[ROW][C]25[/C][C]-0.065641[/C][C]-0.6016[/C][C]0.274528[/C][/ROW]
[ROW][C]26[/C][C]-0.079754[/C][C]-0.731[/C][C]0.23342[/C][/ROW]
[ROW][C]27[/C][C]-0.050958[/C][C]-0.467[/C][C]0.32084[/C][/ROW]
[ROW][C]28[/C][C]-0.054013[/C][C]-0.495[/C][C]0.310933[/C][/ROW]
[ROW][C]29[/C][C]-0.014867[/C][C]-0.1363[/C][C]0.445972[/C][/ROW]
[ROW][C]30[/C][C]0.037043[/C][C]0.3395[/C][C]0.367539[/C][/ROW]
[ROW][C]31[/C][C]-0.042191[/C][C]-0.3867[/C][C]0.349984[/C][/ROW]
[ROW][C]32[/C][C]0.01741[/C][C]0.1596[/C][C]0.436804[/C][/ROW]
[ROW][C]33[/C][C]-0.052527[/C][C]-0.4814[/C][C]0.315734[/C][/ROW]
[ROW][C]34[/C][C]-0.035263[/C][C]-0.3232[/C][C]0.373677[/C][/ROW]
[ROW][C]35[/C][C]-0.043892[/C][C]-0.4023[/C][C]0.344252[/C][/ROW]
[ROW][C]36[/C][C]-0.045665[/C][C]-0.4185[/C][C]0.338315[/C][/ROW]
[ROW][C]37[/C][C]-0.065513[/C][C]-0.6004[/C][C]0.274917[/C][/ROW]
[ROW][C]38[/C][C]0.070675[/C][C]0.6477[/C][C]0.259457[/C][/ROW]
[ROW][C]39[/C][C]-0.028355[/C][C]-0.2599[/C][C]0.397798[/C][/ROW]
[ROW][C]40[/C][C]0.010013[/C][C]0.0918[/C][C]0.46355[/C][/ROW]
[ROW][C]41[/C][C]0.044407[/C][C]0.407[/C][C]0.342524[/C][/ROW]
[ROW][C]42[/C][C]0.120409[/C][C]1.1036[/C][C]0.136466[/C][/ROW]
[ROW][C]43[/C][C]0.012351[/C][C]0.1132[/C][C]0.455073[/C][/ROW]
[ROW][C]44[/C][C]0.038018[/C][C]0.3484[/C][C]0.364189[/C][/ROW]
[ROW][C]45[/C][C]-0.028223[/C][C]-0.2587[/C][C]0.398261[/C][/ROW]
[ROW][C]46[/C][C]-0.03647[/C][C]-0.3343[/C][C]0.369511[/C][/ROW]
[ROW][C]47[/C][C]0.034506[/C][C]0.3162[/C][C]0.376299[/C][/ROW]
[ROW][C]48[/C][C]-0.035797[/C][C]-0.3281[/C][C]0.371831[/C][/ROW]
[ROW][C]49[/C][C]-0.032689[/C][C]-0.2996[/C][C]0.382613[/C][/ROW]
[ROW][C]50[/C][C]0.013055[/C][C]0.1196[/C][C]0.452523[/C][/ROW]
[ROW][C]51[/C][C]-0.094932[/C][C]-0.8701[/C][C]0.193373[/C][/ROW]
[ROW][C]52[/C][C]-0.037922[/C][C]-0.3476[/C][C]0.364519[/C][/ROW]
[ROW][C]53[/C][C]0.002872[/C][C]0.0263[/C][C]0.48953[/C][/ROW]
[ROW][C]54[/C][C]-0.021442[/C][C]-0.1965[/C][C]0.422338[/C][/ROW]
[ROW][C]55[/C][C]0.00788[/C][C]0.0722[/C][C]0.471298[/C][/ROW]
[ROW][C]56[/C][C]0.024789[/C][C]0.2272[/C][C]0.410411[/C][/ROW]
[ROW][C]57[/C][C]-0.06812[/C][C]-0.6243[/C][C]0.26705[/C][/ROW]
[ROW][C]58[/C][C]0.057951[/C][C]0.5311[/C][C]0.298365[/C][/ROW]
[ROW][C]59[/C][C]0.034401[/C][C]0.3153[/C][C]0.376661[/C][/ROW]
[ROW][C]60[/C][C]-0.026653[/C][C]-0.2443[/C][C]0.403806[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31554&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31554&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
10.9730768.91840
2-0.084627-0.77560.220076
30.0747590.68520.247559
4-0.076153-0.6980.243567
5-0.234131-2.14580.017385
60.0460250.42180.337115
70.0007660.0070.497207
8-0.063672-0.58360.28054
90.0439230.40260.344145
10-0.038065-0.34890.36403
110.0075190.06890.47261
12-0.13606-1.2470.10793
13-0.012473-0.11430.454631
14-0.075809-0.69480.24455
15-0.013842-0.12690.449675
16-0.064686-0.59290.277435
170.1377061.26210.105203
180.0598360.54840.292435
19-0.058815-0.5390.29564
20-0.006077-0.05570.477858
21-0.063034-0.57770.282501
22-0.011398-0.10450.458523
23-0.110441-1.01220.157173
240.069380.63590.263292
25-0.065641-0.60160.274528
26-0.079754-0.7310.23342
27-0.050958-0.4670.32084
28-0.054013-0.4950.310933
29-0.014867-0.13630.445972
300.0370430.33950.367539
31-0.042191-0.38670.349984
320.017410.15960.436804
33-0.052527-0.48140.315734
34-0.035263-0.32320.373677
35-0.043892-0.40230.344252
36-0.045665-0.41850.338315
37-0.065513-0.60040.274917
380.0706750.64770.259457
39-0.028355-0.25990.397798
400.0100130.09180.46355
410.0444070.4070.342524
420.1204091.10360.136466
430.0123510.11320.455073
440.0380180.34840.364189
45-0.028223-0.25870.398261
46-0.03647-0.33430.369511
470.0345060.31620.376299
48-0.035797-0.32810.371831
49-0.032689-0.29960.382613
500.0130550.11960.452523
51-0.094932-0.87010.193373
52-0.037922-0.34760.364519
530.0028720.02630.48953
54-0.021442-0.19650.422338
550.007880.07220.471298
560.0247890.22720.410411
57-0.06812-0.62430.26705
580.0579510.53110.298365
590.0344010.31530.376661
60-0.026653-0.24430.403806



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')