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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 27 Nov 2007 03:39:17 -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/27/t1196159422ark8crfhgplyrg4.htm/, Retrieved Sun, 05 May 2024 19:56:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6835, Retrieved Sun, 05 May 2024 19:56:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordss0650062 s0650550
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Stationarity in T...] [2007-11-27 10:39:17] [ab924f39c1cc7a5dd22761038b10db61] [Current]
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Dataseries X:
8.0
8.1
8.3
8.2
8.1
7.7
7.6
7.7
8.2
8.4
8.4
8.6
8.4
8.5
8.7
8.7
8.6
7.4
7.3
7.4
9.0
9.2
9.2
8.5
8.3
8.3
8.6
8.6
8.5
8.1
8.1
8.0
8.6
8.7
8.7
8.6
8.4
8.4
8.7
8.7
8.5
8.3
8.3
8.3
8.1
8.2
8.1
8.1
7.9
7.7
8.1
8.0
7.7
7.8
7.6
7.4
7.7
7.8
7.5
7.2




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=6835&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=6835&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6835&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
016.85570
10.0167780.1150.454458
2-0.081542-0.5590.7106
3-0.564447-3.86970.999833
4-0.041589-0.28510.611598
50.0107550.07370.470768
60.1007390.69060.246597
7-0.004821-0.0330.513112
80.05160.35380.362553
90.152691.04680.150275
100.0315260.21610.41491
11-0.042861-0.29380.614912
12-0.274237-1.88010.966848
13-0.00347-0.02380.50944
140.0525640.36040.360096
150.1911881.31070.098161
16-0.018364-0.12590.549825
17-0.001129-0.00770.503072
18-0.102471-0.70250.757087
190.0047680.03270.48703
20-0.054752-0.37540.64546
210.1768291.21230.115732
220.0098720.06770.473165
230.0433440.29710.383831
24-0.254105-1.74210.95598
25-0.053802-0.36890.643052
260.0154460.10590.458058
270.2321611.59160.059088
280.0140690.09650.461786
29-0.053781-0.36870.642997
30-0.06923-0.47460.681371
31-0.004093-0.02810.511134
320.0341230.23390.408026
33-0.03703-0.25390.599647
34-0.023942-0.16410.564838
350.0056630.03880.484596
360.091430.62680.266907
370.0269540.18480.427095
38-0.003361-0.0230.509143
39-0.121959-0.83610.796339
40-0.006074-0.04160.516519
410.030420.20850.41785
420.0361630.24790.402638
43-0.002341-0.01610.506369
44-0.006404-0.04390.517416
45-0.002032-0.01390.505527
46-0.001244-0.00850.503385
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & 0.016778 & 0.115 & 0.454458 \tabularnewline
2 & -0.081542 & -0.559 & 0.7106 \tabularnewline
3 & -0.564447 & -3.8697 & 0.999833 \tabularnewline
4 & -0.041589 & -0.2851 & 0.611598 \tabularnewline
5 & 0.010755 & 0.0737 & 0.470768 \tabularnewline
6 & 0.100739 & 0.6906 & 0.246597 \tabularnewline
7 & -0.004821 & -0.033 & 0.513112 \tabularnewline
8 & 0.0516 & 0.3538 & 0.362553 \tabularnewline
9 & 0.15269 & 1.0468 & 0.150275 \tabularnewline
10 & 0.031526 & 0.2161 & 0.41491 \tabularnewline
11 & -0.042861 & -0.2938 & 0.614912 \tabularnewline
12 & -0.274237 & -1.8801 & 0.966848 \tabularnewline
13 & -0.00347 & -0.0238 & 0.50944 \tabularnewline
14 & 0.052564 & 0.3604 & 0.360096 \tabularnewline
15 & 0.191188 & 1.3107 & 0.098161 \tabularnewline
16 & -0.018364 & -0.1259 & 0.549825 \tabularnewline
17 & -0.001129 & -0.0077 & 0.503072 \tabularnewline
18 & -0.102471 & -0.7025 & 0.757087 \tabularnewline
19 & 0.004768 & 0.0327 & 0.48703 \tabularnewline
20 & -0.054752 & -0.3754 & 0.64546 \tabularnewline
21 & 0.176829 & 1.2123 & 0.115732 \tabularnewline
22 & 0.009872 & 0.0677 & 0.473165 \tabularnewline
23 & 0.043344 & 0.2971 & 0.383831 \tabularnewline
24 & -0.254105 & -1.7421 & 0.95598 \tabularnewline
25 & -0.053802 & -0.3689 & 0.643052 \tabularnewline
26 & 0.015446 & 0.1059 & 0.458058 \tabularnewline
27 & 0.232161 & 1.5916 & 0.059088 \tabularnewline
28 & 0.014069 & 0.0965 & 0.461786 \tabularnewline
29 & -0.053781 & -0.3687 & 0.642997 \tabularnewline
30 & -0.06923 & -0.4746 & 0.681371 \tabularnewline
31 & -0.004093 & -0.0281 & 0.511134 \tabularnewline
32 & 0.034123 & 0.2339 & 0.408026 \tabularnewline
33 & -0.03703 & -0.2539 & 0.599647 \tabularnewline
34 & -0.023942 & -0.1641 & 0.564838 \tabularnewline
35 & 0.005663 & 0.0388 & 0.484596 \tabularnewline
36 & 0.09143 & 0.6268 & 0.266907 \tabularnewline
37 & 0.026954 & 0.1848 & 0.427095 \tabularnewline
38 & -0.003361 & -0.023 & 0.509143 \tabularnewline
39 & -0.121959 & -0.8361 & 0.796339 \tabularnewline
40 & -0.006074 & -0.0416 & 0.516519 \tabularnewline
41 & 0.03042 & 0.2085 & 0.41785 \tabularnewline
42 & 0.036163 & 0.2479 & 0.402638 \tabularnewline
43 & -0.002341 & -0.0161 & 0.506369 \tabularnewline
44 & -0.006404 & -0.0439 & 0.517416 \tabularnewline
45 & -0.002032 & -0.0139 & 0.505527 \tabularnewline
46 & -0.001244 & -0.0085 & 0.503385 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6835&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]0[/C][C]1[/C][C]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.016778[/C][C]0.115[/C][C]0.454458[/C][/ROW]
[ROW][C]2[/C][C]-0.081542[/C][C]-0.559[/C][C]0.7106[/C][/ROW]
[ROW][C]3[/C][C]-0.564447[/C][C]-3.8697[/C][C]0.999833[/C][/ROW]
[ROW][C]4[/C][C]-0.041589[/C][C]-0.2851[/C][C]0.611598[/C][/ROW]
[ROW][C]5[/C][C]0.010755[/C][C]0.0737[/C][C]0.470768[/C][/ROW]
[ROW][C]6[/C][C]0.100739[/C][C]0.6906[/C][C]0.246597[/C][/ROW]
[ROW][C]7[/C][C]-0.004821[/C][C]-0.033[/C][C]0.513112[/C][/ROW]
[ROW][C]8[/C][C]0.0516[/C][C]0.3538[/C][C]0.362553[/C][/ROW]
[ROW][C]9[/C][C]0.15269[/C][C]1.0468[/C][C]0.150275[/C][/ROW]
[ROW][C]10[/C][C]0.031526[/C][C]0.2161[/C][C]0.41491[/C][/ROW]
[ROW][C]11[/C][C]-0.042861[/C][C]-0.2938[/C][C]0.614912[/C][/ROW]
[ROW][C]12[/C][C]-0.274237[/C][C]-1.8801[/C][C]0.966848[/C][/ROW]
[ROW][C]13[/C][C]-0.00347[/C][C]-0.0238[/C][C]0.50944[/C][/ROW]
[ROW][C]14[/C][C]0.052564[/C][C]0.3604[/C][C]0.360096[/C][/ROW]
[ROW][C]15[/C][C]0.191188[/C][C]1.3107[/C][C]0.098161[/C][/ROW]
[ROW][C]16[/C][C]-0.018364[/C][C]-0.1259[/C][C]0.549825[/C][/ROW]
[ROW][C]17[/C][C]-0.001129[/C][C]-0.0077[/C][C]0.503072[/C][/ROW]
[ROW][C]18[/C][C]-0.102471[/C][C]-0.7025[/C][C]0.757087[/C][/ROW]
[ROW][C]19[/C][C]0.004768[/C][C]0.0327[/C][C]0.48703[/C][/ROW]
[ROW][C]20[/C][C]-0.054752[/C][C]-0.3754[/C][C]0.64546[/C][/ROW]
[ROW][C]21[/C][C]0.176829[/C][C]1.2123[/C][C]0.115732[/C][/ROW]
[ROW][C]22[/C][C]0.009872[/C][C]0.0677[/C][C]0.473165[/C][/ROW]
[ROW][C]23[/C][C]0.043344[/C][C]0.2971[/C][C]0.383831[/C][/ROW]
[ROW][C]24[/C][C]-0.254105[/C][C]-1.7421[/C][C]0.95598[/C][/ROW]
[ROW][C]25[/C][C]-0.053802[/C][C]-0.3689[/C][C]0.643052[/C][/ROW]
[ROW][C]26[/C][C]0.015446[/C][C]0.1059[/C][C]0.458058[/C][/ROW]
[ROW][C]27[/C][C]0.232161[/C][C]1.5916[/C][C]0.059088[/C][/ROW]
[ROW][C]28[/C][C]0.014069[/C][C]0.0965[/C][C]0.461786[/C][/ROW]
[ROW][C]29[/C][C]-0.053781[/C][C]-0.3687[/C][C]0.642997[/C][/ROW]
[ROW][C]30[/C][C]-0.06923[/C][C]-0.4746[/C][C]0.681371[/C][/ROW]
[ROW][C]31[/C][C]-0.004093[/C][C]-0.0281[/C][C]0.511134[/C][/ROW]
[ROW][C]32[/C][C]0.034123[/C][C]0.2339[/C][C]0.408026[/C][/ROW]
[ROW][C]33[/C][C]-0.03703[/C][C]-0.2539[/C][C]0.599647[/C][/ROW]
[ROW][C]34[/C][C]-0.023942[/C][C]-0.1641[/C][C]0.564838[/C][/ROW]
[ROW][C]35[/C][C]0.005663[/C][C]0.0388[/C][C]0.484596[/C][/ROW]
[ROW][C]36[/C][C]0.09143[/C][C]0.6268[/C][C]0.266907[/C][/ROW]
[ROW][C]37[/C][C]0.026954[/C][C]0.1848[/C][C]0.427095[/C][/ROW]
[ROW][C]38[/C][C]-0.003361[/C][C]-0.023[/C][C]0.509143[/C][/ROW]
[ROW][C]39[/C][C]-0.121959[/C][C]-0.8361[/C][C]0.796339[/C][/ROW]
[ROW][C]40[/C][C]-0.006074[/C][C]-0.0416[/C][C]0.516519[/C][/ROW]
[ROW][C]41[/C][C]0.03042[/C][C]0.2085[/C][C]0.41785[/C][/ROW]
[ROW][C]42[/C][C]0.036163[/C][C]0.2479[/C][C]0.402638[/C][/ROW]
[ROW][C]43[/C][C]-0.002341[/C][C]-0.0161[/C][C]0.506369[/C][/ROW]
[ROW][C]44[/C][C]-0.006404[/C][C]-0.0439[/C][C]0.517416[/C][/ROW]
[ROW][C]45[/C][C]-0.002032[/C][C]-0.0139[/C][C]0.505527[/C][/ROW]
[ROW][C]46[/C][C]-0.001244[/C][C]-0.0085[/C][C]0.503385[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6835&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6835&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
10.0167780.1150.454458
2-0.081542-0.5590.7106
3-0.564447-3.86970.999833
4-0.041589-0.28510.611598
50.0107550.07370.470768
60.1007390.69060.246597
7-0.004821-0.0330.513112
80.05160.35380.362553
90.152691.04680.150275
100.0315260.21610.41491
11-0.042861-0.29380.614912
12-0.274237-1.88010.966848
13-0.00347-0.02380.50944
140.0525640.36040.360096
150.1911881.31070.098161
16-0.018364-0.12590.549825
17-0.001129-0.00770.503072
18-0.102471-0.70250.757087
190.0047680.03270.48703
20-0.054752-0.37540.64546
210.1768291.21230.115732
220.0098720.06770.473165
230.0433440.29710.383831
24-0.254105-1.74210.95598
25-0.053802-0.36890.643052
260.0154460.10590.458058
270.2321611.59160.059088
280.0140690.09650.461786
29-0.053781-0.36870.642997
30-0.06923-0.47460.681371
31-0.004093-0.02810.511134
320.0341230.23390.408026
33-0.03703-0.25390.599647
34-0.023942-0.16410.564838
350.0056630.03880.484596
360.091430.62680.266907
370.0269540.18480.427095
38-0.003361-0.0230.509143
39-0.121959-0.83610.796339
40-0.006074-0.04160.516519
410.030420.20850.41785
420.0361630.24790.402638
43-0.002341-0.01610.506369
44-0.006404-0.04390.517416
45-0.002032-0.01390.505527
46-0.001244-0.00850.503385
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0167780.1150.454458
1-0.081846-0.56110.711306
2-0.565541-3.87720.999836
3-0.079682-0.54630.70627
4-0.120504-0.82610.793549
5-0.355868-2.43970.990737
6-0.187452-1.28510.897474
7-0.113178-0.77590.779155
8-0.007916-0.05430.521524
9-0.067093-0.460.67617
10-0.011676-0.080.53173
11-0.197369-1.35310.90875
12-0.029973-0.20550.58096
130.0002670.00180.499273
14-0.073117-0.50130.690739
15-0.04596-0.31510.622955
160.0323410.22170.412746
17-0.095013-0.65140.741012
18-0.074122-0.50820.693139
19-0.079614-0.54580.706109
200.2287011.56790.061807
210.0572910.39280.348133
220.0787510.53990.295911
23-0.114397-0.78430.78159
24-0.052985-0.36320.640975
250.0311040.21320.416032
260.0790470.54190.295218
27-0.080127-0.54930.707308
28-0.053341-0.36570.641882
290.0257540.17660.430307
30-0.097301-0.66710.746002
31-0.095969-0.65790.743103
320.1002090.6870.247731
33-0.044001-0.30170.617877
34-0.02526-0.17320.568372
35-0.073652-0.50490.692018
36-0.052583-0.36050.639952
370.0240860.16510.434778
38-0.002986-0.02050.508122
39-0.031175-0.21370.584157
400.0374790.25690.399171
41-0.094945-0.65090.740864
42-0.021413-0.14680.558042
43-0.03261-0.22360.587968
440.0318680.21850.414001
450.0081730.0560.477778
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.016778 & 0.115 & 0.454458 \tabularnewline
1 & -0.081846 & -0.5611 & 0.711306 \tabularnewline
2 & -0.565541 & -3.8772 & 0.999836 \tabularnewline
3 & -0.079682 & -0.5463 & 0.70627 \tabularnewline
4 & -0.120504 & -0.8261 & 0.793549 \tabularnewline
5 & -0.355868 & -2.4397 & 0.990737 \tabularnewline
6 & -0.187452 & -1.2851 & 0.897474 \tabularnewline
7 & -0.113178 & -0.7759 & 0.779155 \tabularnewline
8 & -0.007916 & -0.0543 & 0.521524 \tabularnewline
9 & -0.067093 & -0.46 & 0.67617 \tabularnewline
10 & -0.011676 & -0.08 & 0.53173 \tabularnewline
11 & -0.197369 & -1.3531 & 0.90875 \tabularnewline
12 & -0.029973 & -0.2055 & 0.58096 \tabularnewline
13 & 0.000267 & 0.0018 & 0.499273 \tabularnewline
14 & -0.073117 & -0.5013 & 0.690739 \tabularnewline
15 & -0.04596 & -0.3151 & 0.622955 \tabularnewline
16 & 0.032341 & 0.2217 & 0.412746 \tabularnewline
17 & -0.095013 & -0.6514 & 0.741012 \tabularnewline
18 & -0.074122 & -0.5082 & 0.693139 \tabularnewline
19 & -0.079614 & -0.5458 & 0.706109 \tabularnewline
20 & 0.228701 & 1.5679 & 0.061807 \tabularnewline
21 & 0.057291 & 0.3928 & 0.348133 \tabularnewline
22 & 0.078751 & 0.5399 & 0.295911 \tabularnewline
23 & -0.114397 & -0.7843 & 0.78159 \tabularnewline
24 & -0.052985 & -0.3632 & 0.640975 \tabularnewline
25 & 0.031104 & 0.2132 & 0.416032 \tabularnewline
26 & 0.079047 & 0.5419 & 0.295218 \tabularnewline
27 & -0.080127 & -0.5493 & 0.707308 \tabularnewline
28 & -0.053341 & -0.3657 & 0.641882 \tabularnewline
29 & 0.025754 & 0.1766 & 0.430307 \tabularnewline
30 & -0.097301 & -0.6671 & 0.746002 \tabularnewline
31 & -0.095969 & -0.6579 & 0.743103 \tabularnewline
32 & 0.100209 & 0.687 & 0.247731 \tabularnewline
33 & -0.044001 & -0.3017 & 0.617877 \tabularnewline
34 & -0.02526 & -0.1732 & 0.568372 \tabularnewline
35 & -0.073652 & -0.5049 & 0.692018 \tabularnewline
36 & -0.052583 & -0.3605 & 0.639952 \tabularnewline
37 & 0.024086 & 0.1651 & 0.434778 \tabularnewline
38 & -0.002986 & -0.0205 & 0.508122 \tabularnewline
39 & -0.031175 & -0.2137 & 0.584157 \tabularnewline
40 & 0.037479 & 0.2569 & 0.399171 \tabularnewline
41 & -0.094945 & -0.6509 & 0.740864 \tabularnewline
42 & -0.021413 & -0.1468 & 0.558042 \tabularnewline
43 & -0.03261 & -0.2236 & 0.587968 \tabularnewline
44 & 0.031868 & 0.2185 & 0.414001 \tabularnewline
45 & 0.008173 & 0.056 & 0.477778 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6835&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]0.016778[/C][C]0.115[/C][C]0.454458[/C][/ROW]
[ROW][C]1[/C][C]-0.081846[/C][C]-0.5611[/C][C]0.711306[/C][/ROW]
[ROW][C]2[/C][C]-0.565541[/C][C]-3.8772[/C][C]0.999836[/C][/ROW]
[ROW][C]3[/C][C]-0.079682[/C][C]-0.5463[/C][C]0.70627[/C][/ROW]
[ROW][C]4[/C][C]-0.120504[/C][C]-0.8261[/C][C]0.793549[/C][/ROW]
[ROW][C]5[/C][C]-0.355868[/C][C]-2.4397[/C][C]0.990737[/C][/ROW]
[ROW][C]6[/C][C]-0.187452[/C][C]-1.2851[/C][C]0.897474[/C][/ROW]
[ROW][C]7[/C][C]-0.113178[/C][C]-0.7759[/C][C]0.779155[/C][/ROW]
[ROW][C]8[/C][C]-0.007916[/C][C]-0.0543[/C][C]0.521524[/C][/ROW]
[ROW][C]9[/C][C]-0.067093[/C][C]-0.46[/C][C]0.67617[/C][/ROW]
[ROW][C]10[/C][C]-0.011676[/C][C]-0.08[/C][C]0.53173[/C][/ROW]
[ROW][C]11[/C][C]-0.197369[/C][C]-1.3531[/C][C]0.90875[/C][/ROW]
[ROW][C]12[/C][C]-0.029973[/C][C]-0.2055[/C][C]0.58096[/C][/ROW]
[ROW][C]13[/C][C]0.000267[/C][C]0.0018[/C][C]0.499273[/C][/ROW]
[ROW][C]14[/C][C]-0.073117[/C][C]-0.5013[/C][C]0.690739[/C][/ROW]
[ROW][C]15[/C][C]-0.04596[/C][C]-0.3151[/C][C]0.622955[/C][/ROW]
[ROW][C]16[/C][C]0.032341[/C][C]0.2217[/C][C]0.412746[/C][/ROW]
[ROW][C]17[/C][C]-0.095013[/C][C]-0.6514[/C][C]0.741012[/C][/ROW]
[ROW][C]18[/C][C]-0.074122[/C][C]-0.5082[/C][C]0.693139[/C][/ROW]
[ROW][C]19[/C][C]-0.079614[/C][C]-0.5458[/C][C]0.706109[/C][/ROW]
[ROW][C]20[/C][C]0.228701[/C][C]1.5679[/C][C]0.061807[/C][/ROW]
[ROW][C]21[/C][C]0.057291[/C][C]0.3928[/C][C]0.348133[/C][/ROW]
[ROW][C]22[/C][C]0.078751[/C][C]0.5399[/C][C]0.295911[/C][/ROW]
[ROW][C]23[/C][C]-0.114397[/C][C]-0.7843[/C][C]0.78159[/C][/ROW]
[ROW][C]24[/C][C]-0.052985[/C][C]-0.3632[/C][C]0.640975[/C][/ROW]
[ROW][C]25[/C][C]0.031104[/C][C]0.2132[/C][C]0.416032[/C][/ROW]
[ROW][C]26[/C][C]0.079047[/C][C]0.5419[/C][C]0.295218[/C][/ROW]
[ROW][C]27[/C][C]-0.080127[/C][C]-0.5493[/C][C]0.707308[/C][/ROW]
[ROW][C]28[/C][C]-0.053341[/C][C]-0.3657[/C][C]0.641882[/C][/ROW]
[ROW][C]29[/C][C]0.025754[/C][C]0.1766[/C][C]0.430307[/C][/ROW]
[ROW][C]30[/C][C]-0.097301[/C][C]-0.6671[/C][C]0.746002[/C][/ROW]
[ROW][C]31[/C][C]-0.095969[/C][C]-0.6579[/C][C]0.743103[/C][/ROW]
[ROW][C]32[/C][C]0.100209[/C][C]0.687[/C][C]0.247731[/C][/ROW]
[ROW][C]33[/C][C]-0.044001[/C][C]-0.3017[/C][C]0.617877[/C][/ROW]
[ROW][C]34[/C][C]-0.02526[/C][C]-0.1732[/C][C]0.568372[/C][/ROW]
[ROW][C]35[/C][C]-0.073652[/C][C]-0.5049[/C][C]0.692018[/C][/ROW]
[ROW][C]36[/C][C]-0.052583[/C][C]-0.3605[/C][C]0.639952[/C][/ROW]
[ROW][C]37[/C][C]0.024086[/C][C]0.1651[/C][C]0.434778[/C][/ROW]
[ROW][C]38[/C][C]-0.002986[/C][C]-0.0205[/C][C]0.508122[/C][/ROW]
[ROW][C]39[/C][C]-0.031175[/C][C]-0.2137[/C][C]0.584157[/C][/ROW]
[ROW][C]40[/C][C]0.037479[/C][C]0.2569[/C][C]0.399171[/C][/ROW]
[ROW][C]41[/C][C]-0.094945[/C][C]-0.6509[/C][C]0.740864[/C][/ROW]
[ROW][C]42[/C][C]-0.021413[/C][C]-0.1468[/C][C]0.558042[/C][/ROW]
[ROW][C]43[/C][C]-0.03261[/C][C]-0.2236[/C][C]0.587968[/C][/ROW]
[ROW][C]44[/C][C]0.031868[/C][C]0.2185[/C][C]0.414001[/C][/ROW]
[ROW][C]45[/C][C]0.008173[/C][C]0.056[/C][C]0.477778[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6835&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6835&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
00.0167780.1150.454458
1-0.081846-0.56110.711306
2-0.565541-3.87720.999836
3-0.079682-0.54630.70627
4-0.120504-0.82610.793549
5-0.355868-2.43970.990737
6-0.187452-1.28510.897474
7-0.113178-0.77590.779155
8-0.007916-0.05430.521524
9-0.067093-0.460.67617
10-0.011676-0.080.53173
11-0.197369-1.35310.90875
12-0.029973-0.20550.58096
130.0002670.00180.499273
14-0.073117-0.50130.690739
15-0.04596-0.31510.622955
160.0323410.22170.412746
17-0.095013-0.65140.741012
18-0.074122-0.50820.693139
19-0.079614-0.54580.706109
200.2287011.56790.061807
210.0572910.39280.348133
220.0787510.53990.295911
23-0.114397-0.78430.78159
24-0.052985-0.36320.640975
250.0311040.21320.416032
260.0790470.54190.295218
27-0.080127-0.54930.707308
28-0.053341-0.36570.641882
290.0257540.17660.430307
30-0.097301-0.66710.746002
31-0.095969-0.65790.743103
320.1002090.6870.247731
33-0.044001-0.30170.617877
34-0.02526-0.17320.568372
35-0.073652-0.50490.692018
36-0.052583-0.36050.639952
370.0240860.16510.434778
38-0.002986-0.02050.508122
39-0.031175-0.21370.584157
400.0374790.25690.399171
41-0.094945-0.65090.740864
42-0.021413-0.14680.558042
43-0.03261-0.22360.587968
440.0318680.21850.414001
450.0081730.0560.477778
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')