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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 08 Dec 2008 14:31:42 -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/08/t1228771937o8722xmgfw0ajg9.htm/, Retrieved Thu, 16 May 2024 19:03:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31068, Retrieved Thu, 16 May 2024 19:03:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact218
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Run sequence plot...] [2008-12-02 22:19:27] [ed2ba3b6182103c15c0ab511ae4e6284]
- RMPD  [Standard Deviation-Mean Plot] [SD mean plot] [2008-12-06 11:49:39] [ed2ba3b6182103c15c0ab511ae4e6284]
F RMP     [(Partial) Autocorrelation Function] [ACF d=1 en D=1 la...] [2008-12-06 13:30:27] [ed2ba3b6182103c15c0ab511ae4e6284]
-             [(Partial) Autocorrelation Function] [] [2008-12-08 21:31:42] [75a00449045803b2332dacf227dc78d5] [Current]
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Dataseries X:
92.66
94.2
94.37
94.45
94.62
94.37
93.43
94.79
94.88
94.79
94.62
94.71
93.77
95.73
95.99
95.82
95.47
95.82
94.71
96.33
96.5
96.16
96.33
96.33
95.05
96.84
96.92
97.44
97.78
97.69
96.67
98.29
98.2
98.71
98.54
98.2
96.92
99.06
99.65
99.82
99.99
100.33
99.31
101.1
101.1
100.93
100.85
100.93
99.6
101.88
101.81
102.38
102.74
102.82
101.72
103.47
102.98
102.68
102.9
103.03
101.29




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 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 & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31068&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]8 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=31068&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31068&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 time8 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.15571-1.07880.143036
2-0.336912-2.33420.011909
3-0.018523-0.12830.44921
4-0.147849-1.02430.155407
50.3845612.66430.005237
60.057710.39980.345529
7-0.274118-1.89910.031782
80.0136840.09480.462431
9-0.076022-0.52670.300414
100.3064492.12310.019462
110.2688461.86260.034321
12-0.572248-3.96470.000122
13-0.015727-0.1090.456845
140.2289211.5860.059652
150.0065410.04530.482022
160.1823811.26360.106243
17-0.301306-2.08750.021087
18-0.108178-0.74950.228614
190.1266750.87760.192259
200.0843970.58470.280737
210.1512121.04760.150029
22-0.215129-1.49050.071324
23-0.198044-1.37210.088207
240.2103461.45730.07577
250.0853710.59150.278491
26-0.090782-0.6290.266179
27-0.026974-0.18690.426271
28-0.119688-0.82920.205541
290.052720.36530.358262
300.0849080.58830.279557
310.0098090.0680.47305
32-0.040075-0.27770.391236
33-0.104528-0.72420.236232
340.0904920.62690.266832
350.0386010.26740.395141
36-0.042933-0.29740.383704
37-0.035921-0.24890.402263
380.00950.06580.473899
390.0004580.00320.498739
400.0103580.07180.471546
410.043970.30460.380982
42-0.024244-0.1680.433656
43-0.075931-0.52610.300632
440.0233360.16170.436119
450.0307120.21280.416201
46-0.001926-0.01330.494706
47-0.019189-0.13290.447397
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 & -0.15571 & -1.0788 & 0.143036 \tabularnewline
2 & -0.336912 & -2.3342 & 0.011909 \tabularnewline
3 & -0.018523 & -0.1283 & 0.44921 \tabularnewline
4 & -0.147849 & -1.0243 & 0.155407 \tabularnewline
5 & 0.384561 & 2.6643 & 0.005237 \tabularnewline
6 & 0.05771 & 0.3998 & 0.345529 \tabularnewline
7 & -0.274118 & -1.8991 & 0.031782 \tabularnewline
8 & 0.013684 & 0.0948 & 0.462431 \tabularnewline
9 & -0.076022 & -0.5267 & 0.300414 \tabularnewline
10 & 0.306449 & 2.1231 & 0.019462 \tabularnewline
11 & 0.268846 & 1.8626 & 0.034321 \tabularnewline
12 & -0.572248 & -3.9647 & 0.000122 \tabularnewline
13 & -0.015727 & -0.109 & 0.456845 \tabularnewline
14 & 0.228921 & 1.586 & 0.059652 \tabularnewline
15 & 0.006541 & 0.0453 & 0.482022 \tabularnewline
16 & 0.182381 & 1.2636 & 0.106243 \tabularnewline
17 & -0.301306 & -2.0875 & 0.021087 \tabularnewline
18 & -0.108178 & -0.7495 & 0.228614 \tabularnewline
19 & 0.126675 & 0.8776 & 0.192259 \tabularnewline
20 & 0.084397 & 0.5847 & 0.280737 \tabularnewline
21 & 0.151212 & 1.0476 & 0.150029 \tabularnewline
22 & -0.215129 & -1.4905 & 0.071324 \tabularnewline
23 & -0.198044 & -1.3721 & 0.088207 \tabularnewline
24 & 0.210346 & 1.4573 & 0.07577 \tabularnewline
25 & 0.085371 & 0.5915 & 0.278491 \tabularnewline
26 & -0.090782 & -0.629 & 0.266179 \tabularnewline
27 & -0.026974 & -0.1869 & 0.426271 \tabularnewline
28 & -0.119688 & -0.8292 & 0.205541 \tabularnewline
29 & 0.05272 & 0.3653 & 0.358262 \tabularnewline
30 & 0.084908 & 0.5883 & 0.279557 \tabularnewline
31 & 0.009809 & 0.068 & 0.47305 \tabularnewline
32 & -0.040075 & -0.2777 & 0.391236 \tabularnewline
33 & -0.104528 & -0.7242 & 0.236232 \tabularnewline
34 & 0.090492 & 0.6269 & 0.266832 \tabularnewline
35 & 0.038601 & 0.2674 & 0.395141 \tabularnewline
36 & -0.042933 & -0.2974 & 0.383704 \tabularnewline
37 & -0.035921 & -0.2489 & 0.402263 \tabularnewline
38 & 0.0095 & 0.0658 & 0.473899 \tabularnewline
39 & 0.000458 & 0.0032 & 0.498739 \tabularnewline
40 & 0.010358 & 0.0718 & 0.471546 \tabularnewline
41 & 0.04397 & 0.3046 & 0.380982 \tabularnewline
42 & -0.024244 & -0.168 & 0.433656 \tabularnewline
43 & -0.075931 & -0.5261 & 0.300632 \tabularnewline
44 & 0.023336 & 0.1617 & 0.436119 \tabularnewline
45 & 0.030712 & 0.2128 & 0.416201 \tabularnewline
46 & -0.001926 & -0.0133 & 0.494706 \tabularnewline
47 & -0.019189 & -0.1329 & 0.447397 \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=31068&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]-0.15571[/C][C]-1.0788[/C][C]0.143036[/C][/ROW]
[ROW][C]2[/C][C]-0.336912[/C][C]-2.3342[/C][C]0.011909[/C][/ROW]
[ROW][C]3[/C][C]-0.018523[/C][C]-0.1283[/C][C]0.44921[/C][/ROW]
[ROW][C]4[/C][C]-0.147849[/C][C]-1.0243[/C][C]0.155407[/C][/ROW]
[ROW][C]5[/C][C]0.384561[/C][C]2.6643[/C][C]0.005237[/C][/ROW]
[ROW][C]6[/C][C]0.05771[/C][C]0.3998[/C][C]0.345529[/C][/ROW]
[ROW][C]7[/C][C]-0.274118[/C][C]-1.8991[/C][C]0.031782[/C][/ROW]
[ROW][C]8[/C][C]0.013684[/C][C]0.0948[/C][C]0.462431[/C][/ROW]
[ROW][C]9[/C][C]-0.076022[/C][C]-0.5267[/C][C]0.300414[/C][/ROW]
[ROW][C]10[/C][C]0.306449[/C][C]2.1231[/C][C]0.019462[/C][/ROW]
[ROW][C]11[/C][C]0.268846[/C][C]1.8626[/C][C]0.034321[/C][/ROW]
[ROW][C]12[/C][C]-0.572248[/C][C]-3.9647[/C][C]0.000122[/C][/ROW]
[ROW][C]13[/C][C]-0.015727[/C][C]-0.109[/C][C]0.456845[/C][/ROW]
[ROW][C]14[/C][C]0.228921[/C][C]1.586[/C][C]0.059652[/C][/ROW]
[ROW][C]15[/C][C]0.006541[/C][C]0.0453[/C][C]0.482022[/C][/ROW]
[ROW][C]16[/C][C]0.182381[/C][C]1.2636[/C][C]0.106243[/C][/ROW]
[ROW][C]17[/C][C]-0.301306[/C][C]-2.0875[/C][C]0.021087[/C][/ROW]
[ROW][C]18[/C][C]-0.108178[/C][C]-0.7495[/C][C]0.228614[/C][/ROW]
[ROW][C]19[/C][C]0.126675[/C][C]0.8776[/C][C]0.192259[/C][/ROW]
[ROW][C]20[/C][C]0.084397[/C][C]0.5847[/C][C]0.280737[/C][/ROW]
[ROW][C]21[/C][C]0.151212[/C][C]1.0476[/C][C]0.150029[/C][/ROW]
[ROW][C]22[/C][C]-0.215129[/C][C]-1.4905[/C][C]0.071324[/C][/ROW]
[ROW][C]23[/C][C]-0.198044[/C][C]-1.3721[/C][C]0.088207[/C][/ROW]
[ROW][C]24[/C][C]0.210346[/C][C]1.4573[/C][C]0.07577[/C][/ROW]
[ROW][C]25[/C][C]0.085371[/C][C]0.5915[/C][C]0.278491[/C][/ROW]
[ROW][C]26[/C][C]-0.090782[/C][C]-0.629[/C][C]0.266179[/C][/ROW]
[ROW][C]27[/C][C]-0.026974[/C][C]-0.1869[/C][C]0.426271[/C][/ROW]
[ROW][C]28[/C][C]-0.119688[/C][C]-0.8292[/C][C]0.205541[/C][/ROW]
[ROW][C]29[/C][C]0.05272[/C][C]0.3653[/C][C]0.358262[/C][/ROW]
[ROW][C]30[/C][C]0.084908[/C][C]0.5883[/C][C]0.279557[/C][/ROW]
[ROW][C]31[/C][C]0.009809[/C][C]0.068[/C][C]0.47305[/C][/ROW]
[ROW][C]32[/C][C]-0.040075[/C][C]-0.2777[/C][C]0.391236[/C][/ROW]
[ROW][C]33[/C][C]-0.104528[/C][C]-0.7242[/C][C]0.236232[/C][/ROW]
[ROW][C]34[/C][C]0.090492[/C][C]0.6269[/C][C]0.266832[/C][/ROW]
[ROW][C]35[/C][C]0.038601[/C][C]0.2674[/C][C]0.395141[/C][/ROW]
[ROW][C]36[/C][C]-0.042933[/C][C]-0.2974[/C][C]0.383704[/C][/ROW]
[ROW][C]37[/C][C]-0.035921[/C][C]-0.2489[/C][C]0.402263[/C][/ROW]
[ROW][C]38[/C][C]0.0095[/C][C]0.0658[/C][C]0.473899[/C][/ROW]
[ROW][C]39[/C][C]0.000458[/C][C]0.0032[/C][C]0.498739[/C][/ROW]
[ROW][C]40[/C][C]0.010358[/C][C]0.0718[/C][C]0.471546[/C][/ROW]
[ROW][C]41[/C][C]0.04397[/C][C]0.3046[/C][C]0.380982[/C][/ROW]
[ROW][C]42[/C][C]-0.024244[/C][C]-0.168[/C][C]0.433656[/C][/ROW]
[ROW][C]43[/C][C]-0.075931[/C][C]-0.5261[/C][C]0.300632[/C][/ROW]
[ROW][C]44[/C][C]0.023336[/C][C]0.1617[/C][C]0.436119[/C][/ROW]
[ROW][C]45[/C][C]0.030712[/C][C]0.2128[/C][C]0.416201[/C][/ROW]
[ROW][C]46[/C][C]-0.001926[/C][C]-0.0133[/C][C]0.494706[/C][/ROW]
[ROW][C]47[/C][C]-0.019189[/C][C]-0.1329[/C][C]0.447397[/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=31068&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31068&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
1-0.15571-1.07880.143036
2-0.336912-2.33420.011909
3-0.018523-0.12830.44921
4-0.147849-1.02430.155407
50.3845612.66430.005237
60.057710.39980.345529
7-0.274118-1.89910.031782
80.0136840.09480.462431
9-0.076022-0.52670.300414
100.3064492.12310.019462
110.2688461.86260.034321
12-0.572248-3.96470.000122
13-0.015727-0.1090.456845
140.2289211.5860.059652
150.0065410.04530.482022
160.1823811.26360.106243
17-0.301306-2.08750.021087
18-0.108178-0.74950.228614
190.1266750.87760.192259
200.0843970.58470.280737
210.1512121.04760.150029
22-0.215129-1.49050.071324
23-0.198044-1.37210.088207
240.2103461.45730.07577
250.0853710.59150.278491
26-0.090782-0.6290.266179
27-0.026974-0.18690.426271
28-0.119688-0.82920.205541
290.052720.36530.358262
300.0849080.58830.279557
310.0098090.0680.47305
32-0.040075-0.27770.391236
33-0.104528-0.72420.236232
340.0904920.62690.266832
350.0386010.26740.395141
36-0.042933-0.29740.383704
37-0.035921-0.24890.402263
380.00950.06580.473899
390.0004580.00320.498739
400.0103580.07180.471546
410.043970.30460.380982
42-0.024244-0.1680.433656
43-0.075931-0.52610.300632
440.0233360.16170.436119
450.0307120.21280.416201
46-0.001926-0.01330.494706
47-0.019189-0.13290.447397
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.15571-1.07880.143036
2-0.370131-2.56430.006761
3-0.175797-1.2180.114597
4-0.389334-2.69740.004807
50.2403641.66530.051184
60.0200460.13890.445061
7-0.017143-0.11880.452977
8-0.012608-0.08740.465378
9-0.084844-0.58780.279707
100.2513341.74130.044019
110.3712082.57180.006634
12-0.280512-1.94340.028919
130.0346060.23980.40577
140.1126910.78070.219392
15-0.035703-0.24740.402843
16-0.039369-0.27280.393105
17-0.083343-0.57740.283178
18-0.018808-0.13030.448433
19-0.223156-1.54610.064328
200.0346530.24010.405645
21-0.095909-0.66450.254782
220.0055990.03880.484608
230.084980.58880.279393
24-0.116349-0.80610.212083
25-0.001948-0.01350.494643
26-0.035867-0.24850.402406
270.0243990.1690.433236
280.0275530.19090.424706
29-0.104335-0.72290.236639
30-0.082539-0.57180.285046
31-0.034707-0.24050.405501
320.0191390.13260.447532
330.0619140.4290.334938
340.0235560.16320.435522
35-0.034325-0.23780.406519
36-0.008944-0.0620.475423
370.0487140.33750.368606
380.0300950.20850.417859
39-0.030269-0.20970.417391
400.0586720.40650.343094
41-0.044183-0.30610.380424
42-0.021722-0.15050.440504
43-0.105628-0.73180.233921
44-0.036463-0.25260.400819
45-0.062844-0.43540.332614
460.0155920.1080.457213
47-0.162002-1.12240.133642
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 & -0.15571 & -1.0788 & 0.143036 \tabularnewline
2 & -0.370131 & -2.5643 & 0.006761 \tabularnewline
3 & -0.175797 & -1.218 & 0.114597 \tabularnewline
4 & -0.389334 & -2.6974 & 0.004807 \tabularnewline
5 & 0.240364 & 1.6653 & 0.051184 \tabularnewline
6 & 0.020046 & 0.1389 & 0.445061 \tabularnewline
7 & -0.017143 & -0.1188 & 0.452977 \tabularnewline
8 & -0.012608 & -0.0874 & 0.465378 \tabularnewline
9 & -0.084844 & -0.5878 & 0.279707 \tabularnewline
10 & 0.251334 & 1.7413 & 0.044019 \tabularnewline
11 & 0.371208 & 2.5718 & 0.006634 \tabularnewline
12 & -0.280512 & -1.9434 & 0.028919 \tabularnewline
13 & 0.034606 & 0.2398 & 0.40577 \tabularnewline
14 & 0.112691 & 0.7807 & 0.219392 \tabularnewline
15 & -0.035703 & -0.2474 & 0.402843 \tabularnewline
16 & -0.039369 & -0.2728 & 0.393105 \tabularnewline
17 & -0.083343 & -0.5774 & 0.283178 \tabularnewline
18 & -0.018808 & -0.1303 & 0.448433 \tabularnewline
19 & -0.223156 & -1.5461 & 0.064328 \tabularnewline
20 & 0.034653 & 0.2401 & 0.405645 \tabularnewline
21 & -0.095909 & -0.6645 & 0.254782 \tabularnewline
22 & 0.005599 & 0.0388 & 0.484608 \tabularnewline
23 & 0.08498 & 0.5888 & 0.279393 \tabularnewline
24 & -0.116349 & -0.8061 & 0.212083 \tabularnewline
25 & -0.001948 & -0.0135 & 0.494643 \tabularnewline
26 & -0.035867 & -0.2485 & 0.402406 \tabularnewline
27 & 0.024399 & 0.169 & 0.433236 \tabularnewline
28 & 0.027553 & 0.1909 & 0.424706 \tabularnewline
29 & -0.104335 & -0.7229 & 0.236639 \tabularnewline
30 & -0.082539 & -0.5718 & 0.285046 \tabularnewline
31 & -0.034707 & -0.2405 & 0.405501 \tabularnewline
32 & 0.019139 & 0.1326 & 0.447532 \tabularnewline
33 & 0.061914 & 0.429 & 0.334938 \tabularnewline
34 & 0.023556 & 0.1632 & 0.435522 \tabularnewline
35 & -0.034325 & -0.2378 & 0.406519 \tabularnewline
36 & -0.008944 & -0.062 & 0.475423 \tabularnewline
37 & 0.048714 & 0.3375 & 0.368606 \tabularnewline
38 & 0.030095 & 0.2085 & 0.417859 \tabularnewline
39 & -0.030269 & -0.2097 & 0.417391 \tabularnewline
40 & 0.058672 & 0.4065 & 0.343094 \tabularnewline
41 & -0.044183 & -0.3061 & 0.380424 \tabularnewline
42 & -0.021722 & -0.1505 & 0.440504 \tabularnewline
43 & -0.105628 & -0.7318 & 0.233921 \tabularnewline
44 & -0.036463 & -0.2526 & 0.400819 \tabularnewline
45 & -0.062844 & -0.4354 & 0.332614 \tabularnewline
46 & 0.015592 & 0.108 & 0.457213 \tabularnewline
47 & -0.162002 & -1.1224 & 0.133642 \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=31068&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]-0.15571[/C][C]-1.0788[/C][C]0.143036[/C][/ROW]
[ROW][C]2[/C][C]-0.370131[/C][C]-2.5643[/C][C]0.006761[/C][/ROW]
[ROW][C]3[/C][C]-0.175797[/C][C]-1.218[/C][C]0.114597[/C][/ROW]
[ROW][C]4[/C][C]-0.389334[/C][C]-2.6974[/C][C]0.004807[/C][/ROW]
[ROW][C]5[/C][C]0.240364[/C][C]1.6653[/C][C]0.051184[/C][/ROW]
[ROW][C]6[/C][C]0.020046[/C][C]0.1389[/C][C]0.445061[/C][/ROW]
[ROW][C]7[/C][C]-0.017143[/C][C]-0.1188[/C][C]0.452977[/C][/ROW]
[ROW][C]8[/C][C]-0.012608[/C][C]-0.0874[/C][C]0.465378[/C][/ROW]
[ROW][C]9[/C][C]-0.084844[/C][C]-0.5878[/C][C]0.279707[/C][/ROW]
[ROW][C]10[/C][C]0.251334[/C][C]1.7413[/C][C]0.044019[/C][/ROW]
[ROW][C]11[/C][C]0.371208[/C][C]2.5718[/C][C]0.006634[/C][/ROW]
[ROW][C]12[/C][C]-0.280512[/C][C]-1.9434[/C][C]0.028919[/C][/ROW]
[ROW][C]13[/C][C]0.034606[/C][C]0.2398[/C][C]0.40577[/C][/ROW]
[ROW][C]14[/C][C]0.112691[/C][C]0.7807[/C][C]0.219392[/C][/ROW]
[ROW][C]15[/C][C]-0.035703[/C][C]-0.2474[/C][C]0.402843[/C][/ROW]
[ROW][C]16[/C][C]-0.039369[/C][C]-0.2728[/C][C]0.393105[/C][/ROW]
[ROW][C]17[/C][C]-0.083343[/C][C]-0.5774[/C][C]0.283178[/C][/ROW]
[ROW][C]18[/C][C]-0.018808[/C][C]-0.1303[/C][C]0.448433[/C][/ROW]
[ROW][C]19[/C][C]-0.223156[/C][C]-1.5461[/C][C]0.064328[/C][/ROW]
[ROW][C]20[/C][C]0.034653[/C][C]0.2401[/C][C]0.405645[/C][/ROW]
[ROW][C]21[/C][C]-0.095909[/C][C]-0.6645[/C][C]0.254782[/C][/ROW]
[ROW][C]22[/C][C]0.005599[/C][C]0.0388[/C][C]0.484608[/C][/ROW]
[ROW][C]23[/C][C]0.08498[/C][C]0.5888[/C][C]0.279393[/C][/ROW]
[ROW][C]24[/C][C]-0.116349[/C][C]-0.8061[/C][C]0.212083[/C][/ROW]
[ROW][C]25[/C][C]-0.001948[/C][C]-0.0135[/C][C]0.494643[/C][/ROW]
[ROW][C]26[/C][C]-0.035867[/C][C]-0.2485[/C][C]0.402406[/C][/ROW]
[ROW][C]27[/C][C]0.024399[/C][C]0.169[/C][C]0.433236[/C][/ROW]
[ROW][C]28[/C][C]0.027553[/C][C]0.1909[/C][C]0.424706[/C][/ROW]
[ROW][C]29[/C][C]-0.104335[/C][C]-0.7229[/C][C]0.236639[/C][/ROW]
[ROW][C]30[/C][C]-0.082539[/C][C]-0.5718[/C][C]0.285046[/C][/ROW]
[ROW][C]31[/C][C]-0.034707[/C][C]-0.2405[/C][C]0.405501[/C][/ROW]
[ROW][C]32[/C][C]0.019139[/C][C]0.1326[/C][C]0.447532[/C][/ROW]
[ROW][C]33[/C][C]0.061914[/C][C]0.429[/C][C]0.334938[/C][/ROW]
[ROW][C]34[/C][C]0.023556[/C][C]0.1632[/C][C]0.435522[/C][/ROW]
[ROW][C]35[/C][C]-0.034325[/C][C]-0.2378[/C][C]0.406519[/C][/ROW]
[ROW][C]36[/C][C]-0.008944[/C][C]-0.062[/C][C]0.475423[/C][/ROW]
[ROW][C]37[/C][C]0.048714[/C][C]0.3375[/C][C]0.368606[/C][/ROW]
[ROW][C]38[/C][C]0.030095[/C][C]0.2085[/C][C]0.417859[/C][/ROW]
[ROW][C]39[/C][C]-0.030269[/C][C]-0.2097[/C][C]0.417391[/C][/ROW]
[ROW][C]40[/C][C]0.058672[/C][C]0.4065[/C][C]0.343094[/C][/ROW]
[ROW][C]41[/C][C]-0.044183[/C][C]-0.3061[/C][C]0.380424[/C][/ROW]
[ROW][C]42[/C][C]-0.021722[/C][C]-0.1505[/C][C]0.440504[/C][/ROW]
[ROW][C]43[/C][C]-0.105628[/C][C]-0.7318[/C][C]0.233921[/C][/ROW]
[ROW][C]44[/C][C]-0.036463[/C][C]-0.2526[/C][C]0.400819[/C][/ROW]
[ROW][C]45[/C][C]-0.062844[/C][C]-0.4354[/C][C]0.332614[/C][/ROW]
[ROW][C]46[/C][C]0.015592[/C][C]0.108[/C][C]0.457213[/C][/ROW]
[ROW][C]47[/C][C]-0.162002[/C][C]-1.1224[/C][C]0.133642[/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=31068&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31068&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
1-0.15571-1.07880.143036
2-0.370131-2.56430.006761
3-0.175797-1.2180.114597
4-0.389334-2.69740.004807
50.2403641.66530.051184
60.0200460.13890.445061
7-0.017143-0.11880.452977
8-0.012608-0.08740.465378
9-0.084844-0.58780.279707
100.2513341.74130.044019
110.3712082.57180.006634
12-0.280512-1.94340.028919
130.0346060.23980.40577
140.1126910.78070.219392
15-0.035703-0.24740.402843
16-0.039369-0.27280.393105
17-0.083343-0.57740.283178
18-0.018808-0.13030.448433
19-0.223156-1.54610.064328
200.0346530.24010.405645
21-0.095909-0.66450.254782
220.0055990.03880.484608
230.084980.58880.279393
24-0.116349-0.80610.212083
25-0.001948-0.01350.494643
26-0.035867-0.24850.402406
270.0243990.1690.433236
280.0275530.19090.424706
29-0.104335-0.72290.236639
30-0.082539-0.57180.285046
31-0.034707-0.24050.405501
320.0191390.13260.447532
330.0619140.4290.334938
340.0235560.16320.435522
35-0.034325-0.23780.406519
36-0.008944-0.0620.475423
370.0487140.33750.368606
380.0300950.20850.417859
39-0.030269-0.20970.417391
400.0586720.40650.343094
41-0.044183-0.30610.380424
42-0.021722-0.15050.440504
43-0.105628-0.73180.233921
44-0.036463-0.25260.400819
45-0.062844-0.43540.332614
460.0155920.1080.457213
47-0.162002-1.12240.133642
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = -2.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -2.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')