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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 19 Dec 2008 06:29:09 -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/19/t1229693371jzkh3vusp5hnky0.htm/, Retrieved Wed, 15 May 2024 17:44:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35118, Retrieved Wed, 15 May 2024 17:44:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact235
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [Paper2] [2008-12-19 12:57:19] [8ac58ef7b35dc5a117bc162cf16850e9]
- RMPD  [(Partial) Autocorrelation Function] [Paper11] [2008-12-19 13:24:37] [8ac58ef7b35dc5a117bc162cf16850e9]
-   PD      [(Partial) Autocorrelation Function] [Paper12] [2008-12-19 13:29:09] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-             [(Partial) Autocorrelation Function] [Paper 12] [2008-12-24 12:02:27] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
65.1
72.5
70.6
81.9
72
70.9
71.1
65.1
78.1
92
77.8
63.3
56.2
79.2
69
66.1
77.5
69.3
70.2
70.2
78.2
85.4
82.4
61.2
52.2
85.3
79.9
72.2
85.7
75.5
69.2
77.6
85.3
77
89.9
60
54.3
84
69.9
75.1
81.7
69.9
68.3
77.3
77.4
85.3
91
60.6
57.6
93.8
78.7
80.3
89.8
77.5
71.7
83.2
86.2
100.7
100.8
57.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35118&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35118&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35118&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1416180.98120.165717
20.1358830.94140.1756
30.4385833.03860.00192
40.031660.21930.413656
50.0875330.60640.273538
60.1923941.33290.094421
7-0.070282-0.48690.314264
8-0.021416-0.14840.441334
90.0361080.25020.401763
10-0.223055-1.54540.064412
11-0.222123-1.53890.065196
12-0.186965-1.29530.100701
13-0.237446-1.64510.053244
14-0.245021-1.69760.048033
15-0.119971-0.83120.204993
16-0.210025-1.45510.076076
17-0.133765-0.92680.179345
180.0911650.63160.26532
19-0.112405-0.77880.219971
20-0.00169-0.01170.495354
210.1740431.20580.116902
22-0.001788-0.01240.495084
230.2823581.95620.028135
240.0603040.41780.338978
250.0443470.30720.379992
260.2793431.93530.029426
270.0607150.42060.337946
280.0085740.05940.47644
290.1857881.28720.102102
300.0340970.23620.40713
310.0163840.11350.455051
320.0616740.42730.33554
33-0.110804-0.76770.223221
34-0.138634-0.96050.170812
35-0.092274-0.63930.262836
36-0.069177-0.47930.316961
37-0.130804-0.90620.184669
38-0.069352-0.48050.316533
39-0.034025-0.23570.407321
40-0.09141-0.63330.264769
41-0.079071-0.54780.293178
42-0.108694-0.75310.227547
43-0.110786-0.76750.223257
440.0300240.2080.418051
45-0.045822-0.31750.376135
46-0.05658-0.3920.348396
470.0307920.21330.415986
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 & 0.141618 & 0.9812 & 0.165717 \tabularnewline
2 & 0.135883 & 0.9414 & 0.1756 \tabularnewline
3 & 0.438583 & 3.0386 & 0.00192 \tabularnewline
4 & 0.03166 & 0.2193 & 0.413656 \tabularnewline
5 & 0.087533 & 0.6064 & 0.273538 \tabularnewline
6 & 0.192394 & 1.3329 & 0.094421 \tabularnewline
7 & -0.070282 & -0.4869 & 0.314264 \tabularnewline
8 & -0.021416 & -0.1484 & 0.441334 \tabularnewline
9 & 0.036108 & 0.2502 & 0.401763 \tabularnewline
10 & -0.223055 & -1.5454 & 0.064412 \tabularnewline
11 & -0.222123 & -1.5389 & 0.065196 \tabularnewline
12 & -0.186965 & -1.2953 & 0.100701 \tabularnewline
13 & -0.237446 & -1.6451 & 0.053244 \tabularnewline
14 & -0.245021 & -1.6976 & 0.048033 \tabularnewline
15 & -0.119971 & -0.8312 & 0.204993 \tabularnewline
16 & -0.210025 & -1.4551 & 0.076076 \tabularnewline
17 & -0.133765 & -0.9268 & 0.179345 \tabularnewline
18 & 0.091165 & 0.6316 & 0.26532 \tabularnewline
19 & -0.112405 & -0.7788 & 0.219971 \tabularnewline
20 & -0.00169 & -0.0117 & 0.495354 \tabularnewline
21 & 0.174043 & 1.2058 & 0.116902 \tabularnewline
22 & -0.001788 & -0.0124 & 0.495084 \tabularnewline
23 & 0.282358 & 1.9562 & 0.028135 \tabularnewline
24 & 0.060304 & 0.4178 & 0.338978 \tabularnewline
25 & 0.044347 & 0.3072 & 0.379992 \tabularnewline
26 & 0.279343 & 1.9353 & 0.029426 \tabularnewline
27 & 0.060715 & 0.4206 & 0.337946 \tabularnewline
28 & 0.008574 & 0.0594 & 0.47644 \tabularnewline
29 & 0.185788 & 1.2872 & 0.102102 \tabularnewline
30 & 0.034097 & 0.2362 & 0.40713 \tabularnewline
31 & 0.016384 & 0.1135 & 0.455051 \tabularnewline
32 & 0.061674 & 0.4273 & 0.33554 \tabularnewline
33 & -0.110804 & -0.7677 & 0.223221 \tabularnewline
34 & -0.138634 & -0.9605 & 0.170812 \tabularnewline
35 & -0.092274 & -0.6393 & 0.262836 \tabularnewline
36 & -0.069177 & -0.4793 & 0.316961 \tabularnewline
37 & -0.130804 & -0.9062 & 0.184669 \tabularnewline
38 & -0.069352 & -0.4805 & 0.316533 \tabularnewline
39 & -0.034025 & -0.2357 & 0.407321 \tabularnewline
40 & -0.09141 & -0.6333 & 0.264769 \tabularnewline
41 & -0.079071 & -0.5478 & 0.293178 \tabularnewline
42 & -0.108694 & -0.7531 & 0.227547 \tabularnewline
43 & -0.110786 & -0.7675 & 0.223257 \tabularnewline
44 & 0.030024 & 0.208 & 0.418051 \tabularnewline
45 & -0.045822 & -0.3175 & 0.376135 \tabularnewline
46 & -0.05658 & -0.392 & 0.348396 \tabularnewline
47 & 0.030792 & 0.2133 & 0.415986 \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=35118&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]0.141618[/C][C]0.9812[/C][C]0.165717[/C][/ROW]
[ROW][C]2[/C][C]0.135883[/C][C]0.9414[/C][C]0.1756[/C][/ROW]
[ROW][C]3[/C][C]0.438583[/C][C]3.0386[/C][C]0.00192[/C][/ROW]
[ROW][C]4[/C][C]0.03166[/C][C]0.2193[/C][C]0.413656[/C][/ROW]
[ROW][C]5[/C][C]0.087533[/C][C]0.6064[/C][C]0.273538[/C][/ROW]
[ROW][C]6[/C][C]0.192394[/C][C]1.3329[/C][C]0.094421[/C][/ROW]
[ROW][C]7[/C][C]-0.070282[/C][C]-0.4869[/C][C]0.314264[/C][/ROW]
[ROW][C]8[/C][C]-0.021416[/C][C]-0.1484[/C][C]0.441334[/C][/ROW]
[ROW][C]9[/C][C]0.036108[/C][C]0.2502[/C][C]0.401763[/C][/ROW]
[ROW][C]10[/C][C]-0.223055[/C][C]-1.5454[/C][C]0.064412[/C][/ROW]
[ROW][C]11[/C][C]-0.222123[/C][C]-1.5389[/C][C]0.065196[/C][/ROW]
[ROW][C]12[/C][C]-0.186965[/C][C]-1.2953[/C][C]0.100701[/C][/ROW]
[ROW][C]13[/C][C]-0.237446[/C][C]-1.6451[/C][C]0.053244[/C][/ROW]
[ROW][C]14[/C][C]-0.245021[/C][C]-1.6976[/C][C]0.048033[/C][/ROW]
[ROW][C]15[/C][C]-0.119971[/C][C]-0.8312[/C][C]0.204993[/C][/ROW]
[ROW][C]16[/C][C]-0.210025[/C][C]-1.4551[/C][C]0.076076[/C][/ROW]
[ROW][C]17[/C][C]-0.133765[/C][C]-0.9268[/C][C]0.179345[/C][/ROW]
[ROW][C]18[/C][C]0.091165[/C][C]0.6316[/C][C]0.26532[/C][/ROW]
[ROW][C]19[/C][C]-0.112405[/C][C]-0.7788[/C][C]0.219971[/C][/ROW]
[ROW][C]20[/C][C]-0.00169[/C][C]-0.0117[/C][C]0.495354[/C][/ROW]
[ROW][C]21[/C][C]0.174043[/C][C]1.2058[/C][C]0.116902[/C][/ROW]
[ROW][C]22[/C][C]-0.001788[/C][C]-0.0124[/C][C]0.495084[/C][/ROW]
[ROW][C]23[/C][C]0.282358[/C][C]1.9562[/C][C]0.028135[/C][/ROW]
[ROW][C]24[/C][C]0.060304[/C][C]0.4178[/C][C]0.338978[/C][/ROW]
[ROW][C]25[/C][C]0.044347[/C][C]0.3072[/C][C]0.379992[/C][/ROW]
[ROW][C]26[/C][C]0.279343[/C][C]1.9353[/C][C]0.029426[/C][/ROW]
[ROW][C]27[/C][C]0.060715[/C][C]0.4206[/C][C]0.337946[/C][/ROW]
[ROW][C]28[/C][C]0.008574[/C][C]0.0594[/C][C]0.47644[/C][/ROW]
[ROW][C]29[/C][C]0.185788[/C][C]1.2872[/C][C]0.102102[/C][/ROW]
[ROW][C]30[/C][C]0.034097[/C][C]0.2362[/C][C]0.40713[/C][/ROW]
[ROW][C]31[/C][C]0.016384[/C][C]0.1135[/C][C]0.455051[/C][/ROW]
[ROW][C]32[/C][C]0.061674[/C][C]0.4273[/C][C]0.33554[/C][/ROW]
[ROW][C]33[/C][C]-0.110804[/C][C]-0.7677[/C][C]0.223221[/C][/ROW]
[ROW][C]34[/C][C]-0.138634[/C][C]-0.9605[/C][C]0.170812[/C][/ROW]
[ROW][C]35[/C][C]-0.092274[/C][C]-0.6393[/C][C]0.262836[/C][/ROW]
[ROW][C]36[/C][C]-0.069177[/C][C]-0.4793[/C][C]0.316961[/C][/ROW]
[ROW][C]37[/C][C]-0.130804[/C][C]-0.9062[/C][C]0.184669[/C][/ROW]
[ROW][C]38[/C][C]-0.069352[/C][C]-0.4805[/C][C]0.316533[/C][/ROW]
[ROW][C]39[/C][C]-0.034025[/C][C]-0.2357[/C][C]0.407321[/C][/ROW]
[ROW][C]40[/C][C]-0.09141[/C][C]-0.6333[/C][C]0.264769[/C][/ROW]
[ROW][C]41[/C][C]-0.079071[/C][C]-0.5478[/C][C]0.293178[/C][/ROW]
[ROW][C]42[/C][C]-0.108694[/C][C]-0.7531[/C][C]0.227547[/C][/ROW]
[ROW][C]43[/C][C]-0.110786[/C][C]-0.7675[/C][C]0.223257[/C][/ROW]
[ROW][C]44[/C][C]0.030024[/C][C]0.208[/C][C]0.418051[/C][/ROW]
[ROW][C]45[/C][C]-0.045822[/C][C]-0.3175[/C][C]0.376135[/C][/ROW]
[ROW][C]46[/C][C]-0.05658[/C][C]-0.392[/C][C]0.348396[/C][/ROW]
[ROW][C]47[/C][C]0.030792[/C][C]0.2133[/C][C]0.415986[/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=35118&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35118&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
10.1416180.98120.165717
20.1358830.94140.1756
30.4385833.03860.00192
40.031660.21930.413656
50.0875330.60640.273538
60.1923941.33290.094421
7-0.070282-0.48690.314264
8-0.021416-0.14840.441334
90.0361080.25020.401763
10-0.223055-1.54540.064412
11-0.222123-1.53890.065196
12-0.186965-1.29530.100701
13-0.237446-1.64510.053244
14-0.245021-1.69760.048033
15-0.119971-0.83120.204993
16-0.210025-1.45510.076076
17-0.133765-0.92680.179345
180.0911650.63160.26532
19-0.112405-0.77880.219971
20-0.00169-0.01170.495354
210.1740431.20580.116902
22-0.001788-0.01240.495084
230.2823581.95620.028135
240.0603040.41780.338978
250.0443470.30720.379992
260.2793431.93530.029426
270.0607150.42060.337946
280.0085740.05940.47644
290.1857881.28720.102102
300.0340970.23620.40713
310.0163840.11350.455051
320.0616740.42730.33554
33-0.110804-0.76770.223221
34-0.138634-0.96050.170812
35-0.092274-0.63930.262836
36-0.069177-0.47930.316961
37-0.130804-0.90620.184669
38-0.069352-0.48050.316533
39-0.034025-0.23570.407321
40-0.09141-0.63330.264769
41-0.079071-0.54780.293178
42-0.108694-0.75310.227547
43-0.110786-0.76750.223257
440.0300240.2080.418051
45-0.045822-0.31750.376135
46-0.05658-0.3920.348396
470.0307920.21330.415986
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1416180.98120.165717
20.1181980.81890.208446
30.4190152.9030.002784
4-0.087471-0.6060.273679
50.0090130.06240.475235
60.0059980.04160.483514
7-0.094031-0.65150.258926
8-0.072565-0.50270.308721
9-0.026796-0.18560.426752
10-0.181062-1.25440.107879
11-0.207467-1.43740.07855
12-0.178234-1.23480.11145
13-0.027255-0.18880.425511
14-0.076344-0.52890.299647
150.0742470.51440.304668
16-0.045791-0.31720.376215
170.0593320.41110.341426
180.2209611.53090.066184
190.0198950.13780.445473
200.0560360.38820.349782
210.0536960.3720.35576
22-0.037284-0.25830.398635
230.2301831.59480.058666
24-0.294916-2.04320.02327
25-0.042607-0.29520.384561
26-0.060519-0.41930.338439
27-0.060537-0.41940.338394
28-0.091401-0.63320.26479
290.0343030.23770.40658
300.091460.63370.264659
310.112770.78130.219234
320.0353350.24480.403824
330.0585610.40570.343374
34-0.094727-0.65630.257387
35-0.031461-0.2180.414189
36-0.010659-0.07380.47072
370.0586650.40640.343111
38-0.051801-0.35890.360627
39-0.00531-0.03680.485402
40-0.002904-0.02010.492015
41-0.147573-1.02240.155856
42-0.054639-0.37860.353344
43-0.058895-0.4080.342531
44-0.045193-0.31310.377777
450.0303240.21010.417242
46-0.141989-0.98370.165091
470.0499980.34640.365279
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 & 0.141618 & 0.9812 & 0.165717 \tabularnewline
2 & 0.118198 & 0.8189 & 0.208446 \tabularnewline
3 & 0.419015 & 2.903 & 0.002784 \tabularnewline
4 & -0.087471 & -0.606 & 0.273679 \tabularnewline
5 & 0.009013 & 0.0624 & 0.475235 \tabularnewline
6 & 0.005998 & 0.0416 & 0.483514 \tabularnewline
7 & -0.094031 & -0.6515 & 0.258926 \tabularnewline
8 & -0.072565 & -0.5027 & 0.308721 \tabularnewline
9 & -0.026796 & -0.1856 & 0.426752 \tabularnewline
10 & -0.181062 & -1.2544 & 0.107879 \tabularnewline
11 & -0.207467 & -1.4374 & 0.07855 \tabularnewline
12 & -0.178234 & -1.2348 & 0.11145 \tabularnewline
13 & -0.027255 & -0.1888 & 0.425511 \tabularnewline
14 & -0.076344 & -0.5289 & 0.299647 \tabularnewline
15 & 0.074247 & 0.5144 & 0.304668 \tabularnewline
16 & -0.045791 & -0.3172 & 0.376215 \tabularnewline
17 & 0.059332 & 0.4111 & 0.341426 \tabularnewline
18 & 0.220961 & 1.5309 & 0.066184 \tabularnewline
19 & 0.019895 & 0.1378 & 0.445473 \tabularnewline
20 & 0.056036 & 0.3882 & 0.349782 \tabularnewline
21 & 0.053696 & 0.372 & 0.35576 \tabularnewline
22 & -0.037284 & -0.2583 & 0.398635 \tabularnewline
23 & 0.230183 & 1.5948 & 0.058666 \tabularnewline
24 & -0.294916 & -2.0432 & 0.02327 \tabularnewline
25 & -0.042607 & -0.2952 & 0.384561 \tabularnewline
26 & -0.060519 & -0.4193 & 0.338439 \tabularnewline
27 & -0.060537 & -0.4194 & 0.338394 \tabularnewline
28 & -0.091401 & -0.6332 & 0.26479 \tabularnewline
29 & 0.034303 & 0.2377 & 0.40658 \tabularnewline
30 & 0.09146 & 0.6337 & 0.264659 \tabularnewline
31 & 0.11277 & 0.7813 & 0.219234 \tabularnewline
32 & 0.035335 & 0.2448 & 0.403824 \tabularnewline
33 & 0.058561 & 0.4057 & 0.343374 \tabularnewline
34 & -0.094727 & -0.6563 & 0.257387 \tabularnewline
35 & -0.031461 & -0.218 & 0.414189 \tabularnewline
36 & -0.010659 & -0.0738 & 0.47072 \tabularnewline
37 & 0.058665 & 0.4064 & 0.343111 \tabularnewline
38 & -0.051801 & -0.3589 & 0.360627 \tabularnewline
39 & -0.00531 & -0.0368 & 0.485402 \tabularnewline
40 & -0.002904 & -0.0201 & 0.492015 \tabularnewline
41 & -0.147573 & -1.0224 & 0.155856 \tabularnewline
42 & -0.054639 & -0.3786 & 0.353344 \tabularnewline
43 & -0.058895 & -0.408 & 0.342531 \tabularnewline
44 & -0.045193 & -0.3131 & 0.377777 \tabularnewline
45 & 0.030324 & 0.2101 & 0.417242 \tabularnewline
46 & -0.141989 & -0.9837 & 0.165091 \tabularnewline
47 & 0.049998 & 0.3464 & 0.365279 \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=35118&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]0.141618[/C][C]0.9812[/C][C]0.165717[/C][/ROW]
[ROW][C]2[/C][C]0.118198[/C][C]0.8189[/C][C]0.208446[/C][/ROW]
[ROW][C]3[/C][C]0.419015[/C][C]2.903[/C][C]0.002784[/C][/ROW]
[ROW][C]4[/C][C]-0.087471[/C][C]-0.606[/C][C]0.273679[/C][/ROW]
[ROW][C]5[/C][C]0.009013[/C][C]0.0624[/C][C]0.475235[/C][/ROW]
[ROW][C]6[/C][C]0.005998[/C][C]0.0416[/C][C]0.483514[/C][/ROW]
[ROW][C]7[/C][C]-0.094031[/C][C]-0.6515[/C][C]0.258926[/C][/ROW]
[ROW][C]8[/C][C]-0.072565[/C][C]-0.5027[/C][C]0.308721[/C][/ROW]
[ROW][C]9[/C][C]-0.026796[/C][C]-0.1856[/C][C]0.426752[/C][/ROW]
[ROW][C]10[/C][C]-0.181062[/C][C]-1.2544[/C][C]0.107879[/C][/ROW]
[ROW][C]11[/C][C]-0.207467[/C][C]-1.4374[/C][C]0.07855[/C][/ROW]
[ROW][C]12[/C][C]-0.178234[/C][C]-1.2348[/C][C]0.11145[/C][/ROW]
[ROW][C]13[/C][C]-0.027255[/C][C]-0.1888[/C][C]0.425511[/C][/ROW]
[ROW][C]14[/C][C]-0.076344[/C][C]-0.5289[/C][C]0.299647[/C][/ROW]
[ROW][C]15[/C][C]0.074247[/C][C]0.5144[/C][C]0.304668[/C][/ROW]
[ROW][C]16[/C][C]-0.045791[/C][C]-0.3172[/C][C]0.376215[/C][/ROW]
[ROW][C]17[/C][C]0.059332[/C][C]0.4111[/C][C]0.341426[/C][/ROW]
[ROW][C]18[/C][C]0.220961[/C][C]1.5309[/C][C]0.066184[/C][/ROW]
[ROW][C]19[/C][C]0.019895[/C][C]0.1378[/C][C]0.445473[/C][/ROW]
[ROW][C]20[/C][C]0.056036[/C][C]0.3882[/C][C]0.349782[/C][/ROW]
[ROW][C]21[/C][C]0.053696[/C][C]0.372[/C][C]0.35576[/C][/ROW]
[ROW][C]22[/C][C]-0.037284[/C][C]-0.2583[/C][C]0.398635[/C][/ROW]
[ROW][C]23[/C][C]0.230183[/C][C]1.5948[/C][C]0.058666[/C][/ROW]
[ROW][C]24[/C][C]-0.294916[/C][C]-2.0432[/C][C]0.02327[/C][/ROW]
[ROW][C]25[/C][C]-0.042607[/C][C]-0.2952[/C][C]0.384561[/C][/ROW]
[ROW][C]26[/C][C]-0.060519[/C][C]-0.4193[/C][C]0.338439[/C][/ROW]
[ROW][C]27[/C][C]-0.060537[/C][C]-0.4194[/C][C]0.338394[/C][/ROW]
[ROW][C]28[/C][C]-0.091401[/C][C]-0.6332[/C][C]0.26479[/C][/ROW]
[ROW][C]29[/C][C]0.034303[/C][C]0.2377[/C][C]0.40658[/C][/ROW]
[ROW][C]30[/C][C]0.09146[/C][C]0.6337[/C][C]0.264659[/C][/ROW]
[ROW][C]31[/C][C]0.11277[/C][C]0.7813[/C][C]0.219234[/C][/ROW]
[ROW][C]32[/C][C]0.035335[/C][C]0.2448[/C][C]0.403824[/C][/ROW]
[ROW][C]33[/C][C]0.058561[/C][C]0.4057[/C][C]0.343374[/C][/ROW]
[ROW][C]34[/C][C]-0.094727[/C][C]-0.6563[/C][C]0.257387[/C][/ROW]
[ROW][C]35[/C][C]-0.031461[/C][C]-0.218[/C][C]0.414189[/C][/ROW]
[ROW][C]36[/C][C]-0.010659[/C][C]-0.0738[/C][C]0.47072[/C][/ROW]
[ROW][C]37[/C][C]0.058665[/C][C]0.4064[/C][C]0.343111[/C][/ROW]
[ROW][C]38[/C][C]-0.051801[/C][C]-0.3589[/C][C]0.360627[/C][/ROW]
[ROW][C]39[/C][C]-0.00531[/C][C]-0.0368[/C][C]0.485402[/C][/ROW]
[ROW][C]40[/C][C]-0.002904[/C][C]-0.0201[/C][C]0.492015[/C][/ROW]
[ROW][C]41[/C][C]-0.147573[/C][C]-1.0224[/C][C]0.155856[/C][/ROW]
[ROW][C]42[/C][C]-0.054639[/C][C]-0.3786[/C][C]0.353344[/C][/ROW]
[ROW][C]43[/C][C]-0.058895[/C][C]-0.408[/C][C]0.342531[/C][/ROW]
[ROW][C]44[/C][C]-0.045193[/C][C]-0.3131[/C][C]0.377777[/C][/ROW]
[ROW][C]45[/C][C]0.030324[/C][C]0.2101[/C][C]0.417242[/C][/ROW]
[ROW][C]46[/C][C]-0.141989[/C][C]-0.9837[/C][C]0.165091[/C][/ROW]
[ROW][C]47[/C][C]0.049998[/C][C]0.3464[/C][C]0.365279[/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=35118&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35118&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
10.1416180.98120.165717
20.1181980.81890.208446
30.4190152.9030.002784
4-0.087471-0.6060.273679
50.0090130.06240.475235
60.0059980.04160.483514
7-0.094031-0.65150.258926
8-0.072565-0.50270.308721
9-0.026796-0.18560.426752
10-0.181062-1.25440.107879
11-0.207467-1.43740.07855
12-0.178234-1.23480.11145
13-0.027255-0.18880.425511
14-0.076344-0.52890.299647
150.0742470.51440.304668
16-0.045791-0.31720.376215
170.0593320.41110.341426
180.2209611.53090.066184
190.0198950.13780.445473
200.0560360.38820.349782
210.0536960.3720.35576
22-0.037284-0.25830.398635
230.2301831.59480.058666
24-0.294916-2.04320.02327
25-0.042607-0.29520.384561
26-0.060519-0.41930.338439
27-0.060537-0.41940.338394
28-0.091401-0.63320.26479
290.0343030.23770.40658
300.091460.63370.264659
310.112770.78130.219234
320.0353350.24480.403824
330.0585610.40570.343374
34-0.094727-0.65630.257387
35-0.031461-0.2180.414189
36-0.010659-0.07380.47072
370.0586650.40640.343111
38-0.051801-0.35890.360627
39-0.00531-0.03680.485402
40-0.002904-0.02010.492015
41-0.147573-1.02240.155856
42-0.054639-0.37860.353344
43-0.058895-0.4080.342531
44-0.045193-0.31310.377777
450.0303240.21010.417242
46-0.141989-0.98370.165091
470.0499980.34640.365279
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1.0 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1.0 ; par3 = 0 ; 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 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')