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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 14:51:43 -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/t1228859564iu3xy275uvl44ry.htm/, Retrieved Sun, 19 May 2024 11:32:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31818, Retrieved Sun, 19 May 2024 11:32:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(P)ACF] [2008-12-09 21:51:43] [0bb3b56b7083c5944c3818446f605d68] [Current]
- RMP     [Variance Reduction Matrix] [VRM] [2008-12-09 22:19:36] [abc1badd8768b83426be5031c0f123a6]
- RMP     [Spectral Analysis] [spectral] [2008-12-09 22:22:08] [abc1badd8768b83426be5031c0f123a6]
- RMP     [Standard Deviation-Mean Plot] [SDMP] [2008-12-09 22:26:31] [abc1badd8768b83426be5031c0f123a6]
-   P     [(Partial) Autocorrelation Function] [PACF D=1] [2008-12-09 22:40:22] [abc1badd8768b83426be5031c0f123a6]
- RMP     [Spectral Analysis] [spectral 2] [2008-12-09 22:51:55] [abc1badd8768b83426be5031c0f123a6]
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Dataseries X:
100.6
99.2
108.4
103.0
99.8
115.0
90.8
95.9
114.4
108.2
112.6
109.1
105.0
105.0
118.5
103.7
112.5
116.6
96.6
101.9
116.5
119.3
115.4
108.5
111.5
108.8
121.8
109.6
112.2
119.6
104.1
105.3
115.0
124.1
116.8
107.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31818&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31818&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31818&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1553670.93220.178721
2-0.107481-0.64490.261545
30.2076221.24570.110455
40.0418920.25140.401485
50.1717821.03070.15478
60.3363132.01790.025552
70.1064050.63840.263617
8-0.056453-0.33870.368394
90.073920.44350.330023
10-0.19228-1.15370.128116
110.0195010.1170.453753
120.4746442.84790.003615
13-0.009725-0.05830.476897
14-0.231739-1.39040.086467
15-0.090194-0.54120.295864
16-0.066196-0.39720.346791
17-0.014293-0.08580.466068
180.0511350.30680.380379
19-0.036775-0.22070.413305
20-0.206504-1.2390.111677
21-0.092112-0.55270.291951
22-0.178353-1.07010.145844
23-0.080414-0.48250.316192
240.0887670.53260.298792
25-0.097373-0.58420.281352
26-0.193683-1.16210.126421
27-0.149939-0.89960.187147
28-0.086169-0.5170.304153
29-0.062747-0.37650.354385
30-0.044093-0.26460.39643
31-0.031102-0.18660.426506
32-0.090318-0.54190.295611
33-0.09421-0.56530.287702
34-0.022197-0.13320.447395
350.0070040.0420.483356
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.155367 & 0.9322 & 0.178721 \tabularnewline
2 & -0.107481 & -0.6449 & 0.261545 \tabularnewline
3 & 0.207622 & 1.2457 & 0.110455 \tabularnewline
4 & 0.041892 & 0.2514 & 0.401485 \tabularnewline
5 & 0.171782 & 1.0307 & 0.15478 \tabularnewline
6 & 0.336313 & 2.0179 & 0.025552 \tabularnewline
7 & 0.106405 & 0.6384 & 0.263617 \tabularnewline
8 & -0.056453 & -0.3387 & 0.368394 \tabularnewline
9 & 0.07392 & 0.4435 & 0.330023 \tabularnewline
10 & -0.19228 & -1.1537 & 0.128116 \tabularnewline
11 & 0.019501 & 0.117 & 0.453753 \tabularnewline
12 & 0.474644 & 2.8479 & 0.003615 \tabularnewline
13 & -0.009725 & -0.0583 & 0.476897 \tabularnewline
14 & -0.231739 & -1.3904 & 0.086467 \tabularnewline
15 & -0.090194 & -0.5412 & 0.295864 \tabularnewline
16 & -0.066196 & -0.3972 & 0.346791 \tabularnewline
17 & -0.014293 & -0.0858 & 0.466068 \tabularnewline
18 & 0.051135 & 0.3068 & 0.380379 \tabularnewline
19 & -0.036775 & -0.2207 & 0.413305 \tabularnewline
20 & -0.206504 & -1.239 & 0.111677 \tabularnewline
21 & -0.092112 & -0.5527 & 0.291951 \tabularnewline
22 & -0.178353 & -1.0701 & 0.145844 \tabularnewline
23 & -0.080414 & -0.4825 & 0.316192 \tabularnewline
24 & 0.088767 & 0.5326 & 0.298792 \tabularnewline
25 & -0.097373 & -0.5842 & 0.281352 \tabularnewline
26 & -0.193683 & -1.1621 & 0.126421 \tabularnewline
27 & -0.149939 & -0.8996 & 0.187147 \tabularnewline
28 & -0.086169 & -0.517 & 0.304153 \tabularnewline
29 & -0.062747 & -0.3765 & 0.354385 \tabularnewline
30 & -0.044093 & -0.2646 & 0.39643 \tabularnewline
31 & -0.031102 & -0.1866 & 0.426506 \tabularnewline
32 & -0.090318 & -0.5419 & 0.295611 \tabularnewline
33 & -0.09421 & -0.5653 & 0.287702 \tabularnewline
34 & -0.022197 & -0.1332 & 0.447395 \tabularnewline
35 & 0.007004 & 0.042 & 0.483356 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \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
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31818&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]0.155367[/C][C]0.9322[/C][C]0.178721[/C][/ROW]
[ROW][C]2[/C][C]-0.107481[/C][C]-0.6449[/C][C]0.261545[/C][/ROW]
[ROW][C]3[/C][C]0.207622[/C][C]1.2457[/C][C]0.110455[/C][/ROW]
[ROW][C]4[/C][C]0.041892[/C][C]0.2514[/C][C]0.401485[/C][/ROW]
[ROW][C]5[/C][C]0.171782[/C][C]1.0307[/C][C]0.15478[/C][/ROW]
[ROW][C]6[/C][C]0.336313[/C][C]2.0179[/C][C]0.025552[/C][/ROW]
[ROW][C]7[/C][C]0.106405[/C][C]0.6384[/C][C]0.263617[/C][/ROW]
[ROW][C]8[/C][C]-0.056453[/C][C]-0.3387[/C][C]0.368394[/C][/ROW]
[ROW][C]9[/C][C]0.07392[/C][C]0.4435[/C][C]0.330023[/C][/ROW]
[ROW][C]10[/C][C]-0.19228[/C][C]-1.1537[/C][C]0.128116[/C][/ROW]
[ROW][C]11[/C][C]0.019501[/C][C]0.117[/C][C]0.453753[/C][/ROW]
[ROW][C]12[/C][C]0.474644[/C][C]2.8479[/C][C]0.003615[/C][/ROW]
[ROW][C]13[/C][C]-0.009725[/C][C]-0.0583[/C][C]0.476897[/C][/ROW]
[ROW][C]14[/C][C]-0.231739[/C][C]-1.3904[/C][C]0.086467[/C][/ROW]
[ROW][C]15[/C][C]-0.090194[/C][C]-0.5412[/C][C]0.295864[/C][/ROW]
[ROW][C]16[/C][C]-0.066196[/C][C]-0.3972[/C][C]0.346791[/C][/ROW]
[ROW][C]17[/C][C]-0.014293[/C][C]-0.0858[/C][C]0.466068[/C][/ROW]
[ROW][C]18[/C][C]0.051135[/C][C]0.3068[/C][C]0.380379[/C][/ROW]
[ROW][C]19[/C][C]-0.036775[/C][C]-0.2207[/C][C]0.413305[/C][/ROW]
[ROW][C]20[/C][C]-0.206504[/C][C]-1.239[/C][C]0.111677[/C][/ROW]
[ROW][C]21[/C][C]-0.092112[/C][C]-0.5527[/C][C]0.291951[/C][/ROW]
[ROW][C]22[/C][C]-0.178353[/C][C]-1.0701[/C][C]0.145844[/C][/ROW]
[ROW][C]23[/C][C]-0.080414[/C][C]-0.4825[/C][C]0.316192[/C][/ROW]
[ROW][C]24[/C][C]0.088767[/C][C]0.5326[/C][C]0.298792[/C][/ROW]
[ROW][C]25[/C][C]-0.097373[/C][C]-0.5842[/C][C]0.281352[/C][/ROW]
[ROW][C]26[/C][C]-0.193683[/C][C]-1.1621[/C][C]0.126421[/C][/ROW]
[ROW][C]27[/C][C]-0.149939[/C][C]-0.8996[/C][C]0.187147[/C][/ROW]
[ROW][C]28[/C][C]-0.086169[/C][C]-0.517[/C][C]0.304153[/C][/ROW]
[ROW][C]29[/C][C]-0.062747[/C][C]-0.3765[/C][C]0.354385[/C][/ROW]
[ROW][C]30[/C][C]-0.044093[/C][C]-0.2646[/C][C]0.39643[/C][/ROW]
[ROW][C]31[/C][C]-0.031102[/C][C]-0.1866[/C][C]0.426506[/C][/ROW]
[ROW][C]32[/C][C]-0.090318[/C][C]-0.5419[/C][C]0.295611[/C][/ROW]
[ROW][C]33[/C][C]-0.09421[/C][C]-0.5653[/C][C]0.287702[/C][/ROW]
[ROW][C]34[/C][C]-0.022197[/C][C]-0.1332[/C][C]0.447395[/C][/ROW]
[ROW][C]35[/C][C]0.007004[/C][C]0.042[/C][C]0.483356[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31818&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31818&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
10.1553670.93220.178721
2-0.107481-0.64490.261545
30.2076221.24570.110455
40.0418920.25140.401485
50.1717821.03070.15478
60.3363132.01790.025552
70.1064050.63840.263617
8-0.056453-0.33870.368394
90.073920.44350.330023
10-0.19228-1.15370.128116
110.0195010.1170.453753
120.4746442.84790.003615
13-0.009725-0.05830.476897
14-0.231739-1.39040.086467
15-0.090194-0.54120.295864
16-0.066196-0.39720.346791
17-0.014293-0.08580.466068
180.0511350.30680.380379
19-0.036775-0.22070.413305
20-0.206504-1.2390.111677
21-0.092112-0.55270.291951
22-0.178353-1.07010.145844
23-0.080414-0.48250.316192
240.0887670.53260.298792
25-0.097373-0.58420.281352
26-0.193683-1.16210.126421
27-0.149939-0.89960.187147
28-0.086169-0.5170.304153
29-0.062747-0.37650.354385
30-0.044093-0.26460.39643
31-0.031102-0.18660.426506
32-0.090318-0.54190.295611
33-0.09421-0.56530.287702
34-0.022197-0.13320.447395
350.0070040.0420.483356
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1553670.93220.178721
2-0.134875-0.80930.211843
30.2583511.55010.064932
4-0.06876-0.41260.341188
50.27221.63320.055572
60.2196991.31820.097883
70.0992540.59550.277609
8-0.091954-0.55170.292274
90.014590.08750.465364
10-0.3921-2.35260.012114
110.0778820.46730.321553
120.3180091.90810.032192
13-0.028367-0.17020.432902
14-0.127969-0.76780.223802
15-0.201105-1.20660.117722
160.0199630.11980.452664
17-0.102537-0.61520.271139
18-0.118338-0.710.241131
190.0136740.0820.467534
20-0.077109-0.46270.323198
210.0544350.32660.372928
220.026830.1610.436506
230.0087990.05280.479094
24-0.193067-1.15840.127164
25-0.059263-0.35560.362115
260.0350120.21010.417398
270.0511170.30670.380419
28-0.078492-0.4710.320259
29-0.00753-0.04520.482106
30-0.06463-0.38780.350232
310.0679940.4080.342858
320.0581330.34880.364636
33-0.047392-0.28440.388885
340.0637270.38240.352221
35-0.041101-0.24660.403307
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.155367 & 0.9322 & 0.178721 \tabularnewline
2 & -0.134875 & -0.8093 & 0.211843 \tabularnewline
3 & 0.258351 & 1.5501 & 0.064932 \tabularnewline
4 & -0.06876 & -0.4126 & 0.341188 \tabularnewline
5 & 0.2722 & 1.6332 & 0.055572 \tabularnewline
6 & 0.219699 & 1.3182 & 0.097883 \tabularnewline
7 & 0.099254 & 0.5955 & 0.277609 \tabularnewline
8 & -0.091954 & -0.5517 & 0.292274 \tabularnewline
9 & 0.01459 & 0.0875 & 0.465364 \tabularnewline
10 & -0.3921 & -2.3526 & 0.012114 \tabularnewline
11 & 0.077882 & 0.4673 & 0.321553 \tabularnewline
12 & 0.318009 & 1.9081 & 0.032192 \tabularnewline
13 & -0.028367 & -0.1702 & 0.432902 \tabularnewline
14 & -0.127969 & -0.7678 & 0.223802 \tabularnewline
15 & -0.201105 & -1.2066 & 0.117722 \tabularnewline
16 & 0.019963 & 0.1198 & 0.452664 \tabularnewline
17 & -0.102537 & -0.6152 & 0.271139 \tabularnewline
18 & -0.118338 & -0.71 & 0.241131 \tabularnewline
19 & 0.013674 & 0.082 & 0.467534 \tabularnewline
20 & -0.077109 & -0.4627 & 0.323198 \tabularnewline
21 & 0.054435 & 0.3266 & 0.372928 \tabularnewline
22 & 0.02683 & 0.161 & 0.436506 \tabularnewline
23 & 0.008799 & 0.0528 & 0.479094 \tabularnewline
24 & -0.193067 & -1.1584 & 0.127164 \tabularnewline
25 & -0.059263 & -0.3556 & 0.362115 \tabularnewline
26 & 0.035012 & 0.2101 & 0.417398 \tabularnewline
27 & 0.051117 & 0.3067 & 0.380419 \tabularnewline
28 & -0.078492 & -0.471 & 0.320259 \tabularnewline
29 & -0.00753 & -0.0452 & 0.482106 \tabularnewline
30 & -0.06463 & -0.3878 & 0.350232 \tabularnewline
31 & 0.067994 & 0.408 & 0.342858 \tabularnewline
32 & 0.058133 & 0.3488 & 0.364636 \tabularnewline
33 & -0.047392 & -0.2844 & 0.388885 \tabularnewline
34 & 0.063727 & 0.3824 & 0.352221 \tabularnewline
35 & -0.041101 & -0.2466 & 0.403307 \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \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
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31818&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]0.155367[/C][C]0.9322[/C][C]0.178721[/C][/ROW]
[ROW][C]2[/C][C]-0.134875[/C][C]-0.8093[/C][C]0.211843[/C][/ROW]
[ROW][C]3[/C][C]0.258351[/C][C]1.5501[/C][C]0.064932[/C][/ROW]
[ROW][C]4[/C][C]-0.06876[/C][C]-0.4126[/C][C]0.341188[/C][/ROW]
[ROW][C]5[/C][C]0.2722[/C][C]1.6332[/C][C]0.055572[/C][/ROW]
[ROW][C]6[/C][C]0.219699[/C][C]1.3182[/C][C]0.097883[/C][/ROW]
[ROW][C]7[/C][C]0.099254[/C][C]0.5955[/C][C]0.277609[/C][/ROW]
[ROW][C]8[/C][C]-0.091954[/C][C]-0.5517[/C][C]0.292274[/C][/ROW]
[ROW][C]9[/C][C]0.01459[/C][C]0.0875[/C][C]0.465364[/C][/ROW]
[ROW][C]10[/C][C]-0.3921[/C][C]-2.3526[/C][C]0.012114[/C][/ROW]
[ROW][C]11[/C][C]0.077882[/C][C]0.4673[/C][C]0.321553[/C][/ROW]
[ROW][C]12[/C][C]0.318009[/C][C]1.9081[/C][C]0.032192[/C][/ROW]
[ROW][C]13[/C][C]-0.028367[/C][C]-0.1702[/C][C]0.432902[/C][/ROW]
[ROW][C]14[/C][C]-0.127969[/C][C]-0.7678[/C][C]0.223802[/C][/ROW]
[ROW][C]15[/C][C]-0.201105[/C][C]-1.2066[/C][C]0.117722[/C][/ROW]
[ROW][C]16[/C][C]0.019963[/C][C]0.1198[/C][C]0.452664[/C][/ROW]
[ROW][C]17[/C][C]-0.102537[/C][C]-0.6152[/C][C]0.271139[/C][/ROW]
[ROW][C]18[/C][C]-0.118338[/C][C]-0.71[/C][C]0.241131[/C][/ROW]
[ROW][C]19[/C][C]0.013674[/C][C]0.082[/C][C]0.467534[/C][/ROW]
[ROW][C]20[/C][C]-0.077109[/C][C]-0.4627[/C][C]0.323198[/C][/ROW]
[ROW][C]21[/C][C]0.054435[/C][C]0.3266[/C][C]0.372928[/C][/ROW]
[ROW][C]22[/C][C]0.02683[/C][C]0.161[/C][C]0.436506[/C][/ROW]
[ROW][C]23[/C][C]0.008799[/C][C]0.0528[/C][C]0.479094[/C][/ROW]
[ROW][C]24[/C][C]-0.193067[/C][C]-1.1584[/C][C]0.127164[/C][/ROW]
[ROW][C]25[/C][C]-0.059263[/C][C]-0.3556[/C][C]0.362115[/C][/ROW]
[ROW][C]26[/C][C]0.035012[/C][C]0.2101[/C][C]0.417398[/C][/ROW]
[ROW][C]27[/C][C]0.051117[/C][C]0.3067[/C][C]0.380419[/C][/ROW]
[ROW][C]28[/C][C]-0.078492[/C][C]-0.471[/C][C]0.320259[/C][/ROW]
[ROW][C]29[/C][C]-0.00753[/C][C]-0.0452[/C][C]0.482106[/C][/ROW]
[ROW][C]30[/C][C]-0.06463[/C][C]-0.3878[/C][C]0.350232[/C][/ROW]
[ROW][C]31[/C][C]0.067994[/C][C]0.408[/C][C]0.342858[/C][/ROW]
[ROW][C]32[/C][C]0.058133[/C][C]0.3488[/C][C]0.364636[/C][/ROW]
[ROW][C]33[/C][C]-0.047392[/C][C]-0.2844[/C][C]0.388885[/C][/ROW]
[ROW][C]34[/C][C]0.063727[/C][C]0.3824[/C][C]0.352221[/C][/ROW]
[ROW][C]35[/C][C]-0.041101[/C][C]-0.2466[/C][C]0.403307[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31818&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31818&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
10.1553670.93220.178721
2-0.134875-0.80930.211843
30.2583511.55010.064932
4-0.06876-0.41260.341188
50.27221.63320.055572
60.2196991.31820.097883
70.0992540.59550.277609
8-0.091954-0.55170.292274
90.014590.08750.465364
10-0.3921-2.35260.012114
110.0778820.46730.321553
120.3180091.90810.032192
13-0.028367-0.17020.432902
14-0.127969-0.76780.223802
15-0.201105-1.20660.117722
160.0199630.11980.452664
17-0.102537-0.61520.271139
18-0.118338-0.710.241131
190.0136740.0820.467534
20-0.077109-0.46270.323198
210.0544350.32660.372928
220.026830.1610.436506
230.0087990.05280.479094
24-0.193067-1.15840.127164
25-0.059263-0.35560.362115
260.0350120.21010.417398
270.0511170.30670.380419
28-0.078492-0.4710.320259
29-0.00753-0.04520.482106
30-0.06463-0.38780.350232
310.0679940.4080.342858
320.0581330.34880.364636
33-0.047392-0.28440.388885
340.0637270.38240.352221
35-0.041101-0.24660.403307
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



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')