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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, 09 Dec 2008 07:02:49 -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/t1228831393i5j1nfm3r9tehrg.htm/, Retrieved Mon, 27 May 2024 23:10:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31406, Retrieved Mon, 27 May 2024 23:10:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-09 14:02:49] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
137.0
135.9
138.1
137.1
135.1
139.6
131.8
136.7
128.9
131.3
129.5
129.0
129.8
125.4
128.6
130.2
124.6
123.7
124.4
119.2
124.4
123.1
120.9
120.9
117.8
113.6
113.2
115.9
121.1
107.6
114.7
112.8
112.1
109.8
108.5
102.7
110.6
108.2
112.7
107.9
102.7
108.4
108.4
106.9
108.9
103.7
103.6
111.6
105.5
105.5
101.3
103.8
100.3
108.2
105.6
103.0
100.5
104.3
99.1
91.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31406&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]1 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=31406&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31406&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8754156.78090
20.8356666.4730
30.7925016.13870
40.7449325.77020
50.7053875.46390
60.6606125.11712e-06
70.6182384.78896e-06
80.5641434.36982.5e-05
90.5251144.06757e-05
100.4875583.77660.000184
110.4373483.38770.000625
120.3745082.90090.002597
130.3601722.78990.003529
140.3097322.39920.009778
150.2671262.06910.021424
160.2319721.79680.038697
170.1792071.38810.085115
180.1356771.05090.148749
190.1075220.83290.204114
200.0539740.41810.33869
210.0229060.17740.429886
22-0.026735-0.20710.41832
23-0.047306-0.36640.357666
24-0.089371-0.69230.245722
25-0.132286-1.02470.154813
26-0.154713-1.19840.117736
27-0.180351-1.3970.083781
28-0.226699-1.7560.042095
29-0.251143-1.94530.028212
30-0.261163-2.0230.02377
31-0.301639-2.33650.011412
32-0.302237-2.34110.011283
33-0.313553-2.42880.009082
34-0.335366-2.59770.005894
35-0.355937-2.75710.003858
36-0.350062-2.71160.004361
37-0.355904-2.75680.00386
38-0.363145-2.81290.003313
39-0.367607-2.84750.003013
40-0.361873-2.80310.003404
41-0.365049-2.82770.003182
42-0.35387-2.74110.004028
43-0.364811-2.82580.003198
44-0.362669-2.80920.003347
45-0.356264-2.75960.003831
46-0.33187-2.57070.006325
47-0.32844-2.54410.006775
48-0.32236-2.4970.007644
49-0.313314-2.42690.009124
50-0.299024-2.31620.011989
51-0.273947-2.1220.018989
52-0.263835-2.04370.022693
53-0.225387-1.74580.042979
54-0.222104-1.72040.045256
55-0.187654-1.45360.07564
56-0.163224-1.26430.105501
57-0.126506-0.97990.165533
58-0.09461-0.73280.233253
59-0.057679-0.44680.32832
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.875415 & 6.7809 & 0 \tabularnewline
2 & 0.835666 & 6.473 & 0 \tabularnewline
3 & 0.792501 & 6.1387 & 0 \tabularnewline
4 & 0.744932 & 5.7702 & 0 \tabularnewline
5 & 0.705387 & 5.4639 & 0 \tabularnewline
6 & 0.660612 & 5.1171 & 2e-06 \tabularnewline
7 & 0.618238 & 4.7889 & 6e-06 \tabularnewline
8 & 0.564143 & 4.3698 & 2.5e-05 \tabularnewline
9 & 0.525114 & 4.0675 & 7e-05 \tabularnewline
10 & 0.487558 & 3.7766 & 0.000184 \tabularnewline
11 & 0.437348 & 3.3877 & 0.000625 \tabularnewline
12 & 0.374508 & 2.9009 & 0.002597 \tabularnewline
13 & 0.360172 & 2.7899 & 0.003529 \tabularnewline
14 & 0.309732 & 2.3992 & 0.009778 \tabularnewline
15 & 0.267126 & 2.0691 & 0.021424 \tabularnewline
16 & 0.231972 & 1.7968 & 0.038697 \tabularnewline
17 & 0.179207 & 1.3881 & 0.085115 \tabularnewline
18 & 0.135677 & 1.0509 & 0.148749 \tabularnewline
19 & 0.107522 & 0.8329 & 0.204114 \tabularnewline
20 & 0.053974 & 0.4181 & 0.33869 \tabularnewline
21 & 0.022906 & 0.1774 & 0.429886 \tabularnewline
22 & -0.026735 & -0.2071 & 0.41832 \tabularnewline
23 & -0.047306 & -0.3664 & 0.357666 \tabularnewline
24 & -0.089371 & -0.6923 & 0.245722 \tabularnewline
25 & -0.132286 & -1.0247 & 0.154813 \tabularnewline
26 & -0.154713 & -1.1984 & 0.117736 \tabularnewline
27 & -0.180351 & -1.397 & 0.083781 \tabularnewline
28 & -0.226699 & -1.756 & 0.042095 \tabularnewline
29 & -0.251143 & -1.9453 & 0.028212 \tabularnewline
30 & -0.261163 & -2.023 & 0.02377 \tabularnewline
31 & -0.301639 & -2.3365 & 0.011412 \tabularnewline
32 & -0.302237 & -2.3411 & 0.011283 \tabularnewline
33 & -0.313553 & -2.4288 & 0.009082 \tabularnewline
34 & -0.335366 & -2.5977 & 0.005894 \tabularnewline
35 & -0.355937 & -2.7571 & 0.003858 \tabularnewline
36 & -0.350062 & -2.7116 & 0.004361 \tabularnewline
37 & -0.355904 & -2.7568 & 0.00386 \tabularnewline
38 & -0.363145 & -2.8129 & 0.003313 \tabularnewline
39 & -0.367607 & -2.8475 & 0.003013 \tabularnewline
40 & -0.361873 & -2.8031 & 0.003404 \tabularnewline
41 & -0.365049 & -2.8277 & 0.003182 \tabularnewline
42 & -0.35387 & -2.7411 & 0.004028 \tabularnewline
43 & -0.364811 & -2.8258 & 0.003198 \tabularnewline
44 & -0.362669 & -2.8092 & 0.003347 \tabularnewline
45 & -0.356264 & -2.7596 & 0.003831 \tabularnewline
46 & -0.33187 & -2.5707 & 0.006325 \tabularnewline
47 & -0.32844 & -2.5441 & 0.006775 \tabularnewline
48 & -0.32236 & -2.497 & 0.007644 \tabularnewline
49 & -0.313314 & -2.4269 & 0.009124 \tabularnewline
50 & -0.299024 & -2.3162 & 0.011989 \tabularnewline
51 & -0.273947 & -2.122 & 0.018989 \tabularnewline
52 & -0.263835 & -2.0437 & 0.022693 \tabularnewline
53 & -0.225387 & -1.7458 & 0.042979 \tabularnewline
54 & -0.222104 & -1.7204 & 0.045256 \tabularnewline
55 & -0.187654 & -1.4536 & 0.07564 \tabularnewline
56 & -0.163224 & -1.2643 & 0.105501 \tabularnewline
57 & -0.126506 & -0.9799 & 0.165533 \tabularnewline
58 & -0.09461 & -0.7328 & 0.233253 \tabularnewline
59 & -0.057679 & -0.4468 & 0.32832 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31406&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]0.875415[/C][C]6.7809[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.835666[/C][C]6.473[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.792501[/C][C]6.1387[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.744932[/C][C]5.7702[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.705387[/C][C]5.4639[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.660612[/C][C]5.1171[/C][C]2e-06[/C][/ROW]
[ROW][C]7[/C][C]0.618238[/C][C]4.7889[/C][C]6e-06[/C][/ROW]
[ROW][C]8[/C][C]0.564143[/C][C]4.3698[/C][C]2.5e-05[/C][/ROW]
[ROW][C]9[/C][C]0.525114[/C][C]4.0675[/C][C]7e-05[/C][/ROW]
[ROW][C]10[/C][C]0.487558[/C][C]3.7766[/C][C]0.000184[/C][/ROW]
[ROW][C]11[/C][C]0.437348[/C][C]3.3877[/C][C]0.000625[/C][/ROW]
[ROW][C]12[/C][C]0.374508[/C][C]2.9009[/C][C]0.002597[/C][/ROW]
[ROW][C]13[/C][C]0.360172[/C][C]2.7899[/C][C]0.003529[/C][/ROW]
[ROW][C]14[/C][C]0.309732[/C][C]2.3992[/C][C]0.009778[/C][/ROW]
[ROW][C]15[/C][C]0.267126[/C][C]2.0691[/C][C]0.021424[/C][/ROW]
[ROW][C]16[/C][C]0.231972[/C][C]1.7968[/C][C]0.038697[/C][/ROW]
[ROW][C]17[/C][C]0.179207[/C][C]1.3881[/C][C]0.085115[/C][/ROW]
[ROW][C]18[/C][C]0.135677[/C][C]1.0509[/C][C]0.148749[/C][/ROW]
[ROW][C]19[/C][C]0.107522[/C][C]0.8329[/C][C]0.204114[/C][/ROW]
[ROW][C]20[/C][C]0.053974[/C][C]0.4181[/C][C]0.33869[/C][/ROW]
[ROW][C]21[/C][C]0.022906[/C][C]0.1774[/C][C]0.429886[/C][/ROW]
[ROW][C]22[/C][C]-0.026735[/C][C]-0.2071[/C][C]0.41832[/C][/ROW]
[ROW][C]23[/C][C]-0.047306[/C][C]-0.3664[/C][C]0.357666[/C][/ROW]
[ROW][C]24[/C][C]-0.089371[/C][C]-0.6923[/C][C]0.245722[/C][/ROW]
[ROW][C]25[/C][C]-0.132286[/C][C]-1.0247[/C][C]0.154813[/C][/ROW]
[ROW][C]26[/C][C]-0.154713[/C][C]-1.1984[/C][C]0.117736[/C][/ROW]
[ROW][C]27[/C][C]-0.180351[/C][C]-1.397[/C][C]0.083781[/C][/ROW]
[ROW][C]28[/C][C]-0.226699[/C][C]-1.756[/C][C]0.042095[/C][/ROW]
[ROW][C]29[/C][C]-0.251143[/C][C]-1.9453[/C][C]0.028212[/C][/ROW]
[ROW][C]30[/C][C]-0.261163[/C][C]-2.023[/C][C]0.02377[/C][/ROW]
[ROW][C]31[/C][C]-0.301639[/C][C]-2.3365[/C][C]0.011412[/C][/ROW]
[ROW][C]32[/C][C]-0.302237[/C][C]-2.3411[/C][C]0.011283[/C][/ROW]
[ROW][C]33[/C][C]-0.313553[/C][C]-2.4288[/C][C]0.009082[/C][/ROW]
[ROW][C]34[/C][C]-0.335366[/C][C]-2.5977[/C][C]0.005894[/C][/ROW]
[ROW][C]35[/C][C]-0.355937[/C][C]-2.7571[/C][C]0.003858[/C][/ROW]
[ROW][C]36[/C][C]-0.350062[/C][C]-2.7116[/C][C]0.004361[/C][/ROW]
[ROW][C]37[/C][C]-0.355904[/C][C]-2.7568[/C][C]0.00386[/C][/ROW]
[ROW][C]38[/C][C]-0.363145[/C][C]-2.8129[/C][C]0.003313[/C][/ROW]
[ROW][C]39[/C][C]-0.367607[/C][C]-2.8475[/C][C]0.003013[/C][/ROW]
[ROW][C]40[/C][C]-0.361873[/C][C]-2.8031[/C][C]0.003404[/C][/ROW]
[ROW][C]41[/C][C]-0.365049[/C][C]-2.8277[/C][C]0.003182[/C][/ROW]
[ROW][C]42[/C][C]-0.35387[/C][C]-2.7411[/C][C]0.004028[/C][/ROW]
[ROW][C]43[/C][C]-0.364811[/C][C]-2.8258[/C][C]0.003198[/C][/ROW]
[ROW][C]44[/C][C]-0.362669[/C][C]-2.8092[/C][C]0.003347[/C][/ROW]
[ROW][C]45[/C][C]-0.356264[/C][C]-2.7596[/C][C]0.003831[/C][/ROW]
[ROW][C]46[/C][C]-0.33187[/C][C]-2.5707[/C][C]0.006325[/C][/ROW]
[ROW][C]47[/C][C]-0.32844[/C][C]-2.5441[/C][C]0.006775[/C][/ROW]
[ROW][C]48[/C][C]-0.32236[/C][C]-2.497[/C][C]0.007644[/C][/ROW]
[ROW][C]49[/C][C]-0.313314[/C][C]-2.4269[/C][C]0.009124[/C][/ROW]
[ROW][C]50[/C][C]-0.299024[/C][C]-2.3162[/C][C]0.011989[/C][/ROW]
[ROW][C]51[/C][C]-0.273947[/C][C]-2.122[/C][C]0.018989[/C][/ROW]
[ROW][C]52[/C][C]-0.263835[/C][C]-2.0437[/C][C]0.022693[/C][/ROW]
[ROW][C]53[/C][C]-0.225387[/C][C]-1.7458[/C][C]0.042979[/C][/ROW]
[ROW][C]54[/C][C]-0.222104[/C][C]-1.7204[/C][C]0.045256[/C][/ROW]
[ROW][C]55[/C][C]-0.187654[/C][C]-1.4536[/C][C]0.07564[/C][/ROW]
[ROW][C]56[/C][C]-0.163224[/C][C]-1.2643[/C][C]0.105501[/C][/ROW]
[ROW][C]57[/C][C]-0.126506[/C][C]-0.9799[/C][C]0.165533[/C][/ROW]
[ROW][C]58[/C][C]-0.09461[/C][C]-0.7328[/C][C]0.233253[/C][/ROW]
[ROW][C]59[/C][C]-0.057679[/C][C]-0.4468[/C][C]0.32832[/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=31406&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31406&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
10.8754156.78090
20.8356666.4730
30.7925016.13870
40.7449325.77020
50.7053875.46390
60.6606125.11712e-06
70.6182384.78896e-06
80.5641434.36982.5e-05
90.5251144.06757e-05
100.4875583.77660.000184
110.4373483.38770.000625
120.3745082.90090.002597
130.3601722.78990.003529
140.3097322.39920.009778
150.2671262.06910.021424
160.2319721.79680.038697
170.1792071.38810.085115
180.1356771.05090.148749
190.1075220.83290.204114
200.0539740.41810.33869
210.0229060.17740.429886
22-0.026735-0.20710.41832
23-0.047306-0.36640.357666
24-0.089371-0.69230.245722
25-0.132286-1.02470.154813
26-0.154713-1.19840.117736
27-0.180351-1.3970.083781
28-0.226699-1.7560.042095
29-0.251143-1.94530.028212
30-0.261163-2.0230.02377
31-0.301639-2.33650.011412
32-0.302237-2.34110.011283
33-0.313553-2.42880.009082
34-0.335366-2.59770.005894
35-0.355937-2.75710.003858
36-0.350062-2.71160.004361
37-0.355904-2.75680.00386
38-0.363145-2.81290.003313
39-0.367607-2.84750.003013
40-0.361873-2.80310.003404
41-0.365049-2.82770.003182
42-0.35387-2.74110.004028
43-0.364811-2.82580.003198
44-0.362669-2.80920.003347
45-0.356264-2.75960.003831
46-0.33187-2.57070.006325
47-0.32844-2.54410.006775
48-0.32236-2.4970.007644
49-0.313314-2.42690.009124
50-0.299024-2.31620.011989
51-0.273947-2.1220.018989
52-0.263835-2.04370.022693
53-0.225387-1.74580.042979
54-0.222104-1.72040.045256
55-0.187654-1.45360.07564
56-0.163224-1.26430.105501
57-0.126506-0.97990.165533
58-0.09461-0.73280.233253
59-0.057679-0.44680.32832
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8754156.78090
20.2966622.29790.012534
30.0857330.66410.25459
4-0.008105-0.06280.475076
50.0083520.06470.474316
6-0.025542-0.19790.421915
7-0.021049-0.1630.435517
8-0.078769-0.61010.272037
90.0014380.01110.495575
100.0102180.07910.468589
11-0.062958-0.48770.313779
12-0.129722-1.00480.159509
130.1322841.02470.154816
14-0.057536-0.44570.32872
15-0.050252-0.38930.349234
16-0.012532-0.09710.461495
17-0.079863-0.61860.269256
18-0.044193-0.34230.366654
190.044950.34820.36446
20-0.123253-0.95470.171776
210.0266910.20670.418453
22-0.073061-0.56590.286777
230.0439510.34040.367356
24-0.079297-0.61420.270692
25-0.041481-0.32130.374545
26-0.003242-0.02510.490023
270.0347830.26940.394261
28-0.135918-1.05280.148324
29-0.020713-0.16040.436536
300.0761590.58990.278728
31-0.080494-0.62350.26766
320.0336480.26060.397633
330.0430610.33350.369941
34-0.100966-0.78210.218622
35-0.02238-0.17340.431477
360.0616880.47780.317253
37-0.035555-0.27540.391974
380.0035020.02710.489226
39-0.024788-0.1920.424192
40-0.022664-0.17560.430616
410.0226450.17540.430675
420.0164980.12780.449372
43-0.150892-1.16880.123553
440.0610630.4730.318966
450.0024620.01910.492423
460.0293520.22740.410459
47-0.027286-0.21140.416663
48-0.024802-0.19210.424149
49-0.054424-0.42160.337423
500.0704550.54570.293633
510.001910.01480.494122
52-0.025918-0.20080.420781
530.0988890.7660.223343
54-0.067023-0.51920.302781
550.0293240.22710.410543
560.028140.2180.414097
570.0361580.28010.39019
580.095950.74320.230123
590.0157770.12220.451573
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.875415 & 6.7809 & 0 \tabularnewline
2 & 0.296662 & 2.2979 & 0.012534 \tabularnewline
3 & 0.085733 & 0.6641 & 0.25459 \tabularnewline
4 & -0.008105 & -0.0628 & 0.475076 \tabularnewline
5 & 0.008352 & 0.0647 & 0.474316 \tabularnewline
6 & -0.025542 & -0.1979 & 0.421915 \tabularnewline
7 & -0.021049 & -0.163 & 0.435517 \tabularnewline
8 & -0.078769 & -0.6101 & 0.272037 \tabularnewline
9 & 0.001438 & 0.0111 & 0.495575 \tabularnewline
10 & 0.010218 & 0.0791 & 0.468589 \tabularnewline
11 & -0.062958 & -0.4877 & 0.313779 \tabularnewline
12 & -0.129722 & -1.0048 & 0.159509 \tabularnewline
13 & 0.132284 & 1.0247 & 0.154816 \tabularnewline
14 & -0.057536 & -0.4457 & 0.32872 \tabularnewline
15 & -0.050252 & -0.3893 & 0.349234 \tabularnewline
16 & -0.012532 & -0.0971 & 0.461495 \tabularnewline
17 & -0.079863 & -0.6186 & 0.269256 \tabularnewline
18 & -0.044193 & -0.3423 & 0.366654 \tabularnewline
19 & 0.04495 & 0.3482 & 0.36446 \tabularnewline
20 & -0.123253 & -0.9547 & 0.171776 \tabularnewline
21 & 0.026691 & 0.2067 & 0.418453 \tabularnewline
22 & -0.073061 & -0.5659 & 0.286777 \tabularnewline
23 & 0.043951 & 0.3404 & 0.367356 \tabularnewline
24 & -0.079297 & -0.6142 & 0.270692 \tabularnewline
25 & -0.041481 & -0.3213 & 0.374545 \tabularnewline
26 & -0.003242 & -0.0251 & 0.490023 \tabularnewline
27 & 0.034783 & 0.2694 & 0.394261 \tabularnewline
28 & -0.135918 & -1.0528 & 0.148324 \tabularnewline
29 & -0.020713 & -0.1604 & 0.436536 \tabularnewline
30 & 0.076159 & 0.5899 & 0.278728 \tabularnewline
31 & -0.080494 & -0.6235 & 0.26766 \tabularnewline
32 & 0.033648 & 0.2606 & 0.397633 \tabularnewline
33 & 0.043061 & 0.3335 & 0.369941 \tabularnewline
34 & -0.100966 & -0.7821 & 0.218622 \tabularnewline
35 & -0.02238 & -0.1734 & 0.431477 \tabularnewline
36 & 0.061688 & 0.4778 & 0.317253 \tabularnewline
37 & -0.035555 & -0.2754 & 0.391974 \tabularnewline
38 & 0.003502 & 0.0271 & 0.489226 \tabularnewline
39 & -0.024788 & -0.192 & 0.424192 \tabularnewline
40 & -0.022664 & -0.1756 & 0.430616 \tabularnewline
41 & 0.022645 & 0.1754 & 0.430675 \tabularnewline
42 & 0.016498 & 0.1278 & 0.449372 \tabularnewline
43 & -0.150892 & -1.1688 & 0.123553 \tabularnewline
44 & 0.061063 & 0.473 & 0.318966 \tabularnewline
45 & 0.002462 & 0.0191 & 0.492423 \tabularnewline
46 & 0.029352 & 0.2274 & 0.410459 \tabularnewline
47 & -0.027286 & -0.2114 & 0.416663 \tabularnewline
48 & -0.024802 & -0.1921 & 0.424149 \tabularnewline
49 & -0.054424 & -0.4216 & 0.337423 \tabularnewline
50 & 0.070455 & 0.5457 & 0.293633 \tabularnewline
51 & 0.00191 & 0.0148 & 0.494122 \tabularnewline
52 & -0.025918 & -0.2008 & 0.420781 \tabularnewline
53 & 0.098889 & 0.766 & 0.223343 \tabularnewline
54 & -0.067023 & -0.5192 & 0.302781 \tabularnewline
55 & 0.029324 & 0.2271 & 0.410543 \tabularnewline
56 & 0.02814 & 0.218 & 0.414097 \tabularnewline
57 & 0.036158 & 0.2801 & 0.39019 \tabularnewline
58 & 0.09595 & 0.7432 & 0.230123 \tabularnewline
59 & 0.015777 & 0.1222 & 0.451573 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31406&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]0.875415[/C][C]6.7809[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.296662[/C][C]2.2979[/C][C]0.012534[/C][/ROW]
[ROW][C]3[/C][C]0.085733[/C][C]0.6641[/C][C]0.25459[/C][/ROW]
[ROW][C]4[/C][C]-0.008105[/C][C]-0.0628[/C][C]0.475076[/C][/ROW]
[ROW][C]5[/C][C]0.008352[/C][C]0.0647[/C][C]0.474316[/C][/ROW]
[ROW][C]6[/C][C]-0.025542[/C][C]-0.1979[/C][C]0.421915[/C][/ROW]
[ROW][C]7[/C][C]-0.021049[/C][C]-0.163[/C][C]0.435517[/C][/ROW]
[ROW][C]8[/C][C]-0.078769[/C][C]-0.6101[/C][C]0.272037[/C][/ROW]
[ROW][C]9[/C][C]0.001438[/C][C]0.0111[/C][C]0.495575[/C][/ROW]
[ROW][C]10[/C][C]0.010218[/C][C]0.0791[/C][C]0.468589[/C][/ROW]
[ROW][C]11[/C][C]-0.062958[/C][C]-0.4877[/C][C]0.313779[/C][/ROW]
[ROW][C]12[/C][C]-0.129722[/C][C]-1.0048[/C][C]0.159509[/C][/ROW]
[ROW][C]13[/C][C]0.132284[/C][C]1.0247[/C][C]0.154816[/C][/ROW]
[ROW][C]14[/C][C]-0.057536[/C][C]-0.4457[/C][C]0.32872[/C][/ROW]
[ROW][C]15[/C][C]-0.050252[/C][C]-0.3893[/C][C]0.349234[/C][/ROW]
[ROW][C]16[/C][C]-0.012532[/C][C]-0.0971[/C][C]0.461495[/C][/ROW]
[ROW][C]17[/C][C]-0.079863[/C][C]-0.6186[/C][C]0.269256[/C][/ROW]
[ROW][C]18[/C][C]-0.044193[/C][C]-0.3423[/C][C]0.366654[/C][/ROW]
[ROW][C]19[/C][C]0.04495[/C][C]0.3482[/C][C]0.36446[/C][/ROW]
[ROW][C]20[/C][C]-0.123253[/C][C]-0.9547[/C][C]0.171776[/C][/ROW]
[ROW][C]21[/C][C]0.026691[/C][C]0.2067[/C][C]0.418453[/C][/ROW]
[ROW][C]22[/C][C]-0.073061[/C][C]-0.5659[/C][C]0.286777[/C][/ROW]
[ROW][C]23[/C][C]0.043951[/C][C]0.3404[/C][C]0.367356[/C][/ROW]
[ROW][C]24[/C][C]-0.079297[/C][C]-0.6142[/C][C]0.270692[/C][/ROW]
[ROW][C]25[/C][C]-0.041481[/C][C]-0.3213[/C][C]0.374545[/C][/ROW]
[ROW][C]26[/C][C]-0.003242[/C][C]-0.0251[/C][C]0.490023[/C][/ROW]
[ROW][C]27[/C][C]0.034783[/C][C]0.2694[/C][C]0.394261[/C][/ROW]
[ROW][C]28[/C][C]-0.135918[/C][C]-1.0528[/C][C]0.148324[/C][/ROW]
[ROW][C]29[/C][C]-0.020713[/C][C]-0.1604[/C][C]0.436536[/C][/ROW]
[ROW][C]30[/C][C]0.076159[/C][C]0.5899[/C][C]0.278728[/C][/ROW]
[ROW][C]31[/C][C]-0.080494[/C][C]-0.6235[/C][C]0.26766[/C][/ROW]
[ROW][C]32[/C][C]0.033648[/C][C]0.2606[/C][C]0.397633[/C][/ROW]
[ROW][C]33[/C][C]0.043061[/C][C]0.3335[/C][C]0.369941[/C][/ROW]
[ROW][C]34[/C][C]-0.100966[/C][C]-0.7821[/C][C]0.218622[/C][/ROW]
[ROW][C]35[/C][C]-0.02238[/C][C]-0.1734[/C][C]0.431477[/C][/ROW]
[ROW][C]36[/C][C]0.061688[/C][C]0.4778[/C][C]0.317253[/C][/ROW]
[ROW][C]37[/C][C]-0.035555[/C][C]-0.2754[/C][C]0.391974[/C][/ROW]
[ROW][C]38[/C][C]0.003502[/C][C]0.0271[/C][C]0.489226[/C][/ROW]
[ROW][C]39[/C][C]-0.024788[/C][C]-0.192[/C][C]0.424192[/C][/ROW]
[ROW][C]40[/C][C]-0.022664[/C][C]-0.1756[/C][C]0.430616[/C][/ROW]
[ROW][C]41[/C][C]0.022645[/C][C]0.1754[/C][C]0.430675[/C][/ROW]
[ROW][C]42[/C][C]0.016498[/C][C]0.1278[/C][C]0.449372[/C][/ROW]
[ROW][C]43[/C][C]-0.150892[/C][C]-1.1688[/C][C]0.123553[/C][/ROW]
[ROW][C]44[/C][C]0.061063[/C][C]0.473[/C][C]0.318966[/C][/ROW]
[ROW][C]45[/C][C]0.002462[/C][C]0.0191[/C][C]0.492423[/C][/ROW]
[ROW][C]46[/C][C]0.029352[/C][C]0.2274[/C][C]0.410459[/C][/ROW]
[ROW][C]47[/C][C]-0.027286[/C][C]-0.2114[/C][C]0.416663[/C][/ROW]
[ROW][C]48[/C][C]-0.024802[/C][C]-0.1921[/C][C]0.424149[/C][/ROW]
[ROW][C]49[/C][C]-0.054424[/C][C]-0.4216[/C][C]0.337423[/C][/ROW]
[ROW][C]50[/C][C]0.070455[/C][C]0.5457[/C][C]0.293633[/C][/ROW]
[ROW][C]51[/C][C]0.00191[/C][C]0.0148[/C][C]0.494122[/C][/ROW]
[ROW][C]52[/C][C]-0.025918[/C][C]-0.2008[/C][C]0.420781[/C][/ROW]
[ROW][C]53[/C][C]0.098889[/C][C]0.766[/C][C]0.223343[/C][/ROW]
[ROW][C]54[/C][C]-0.067023[/C][C]-0.5192[/C][C]0.302781[/C][/ROW]
[ROW][C]55[/C][C]0.029324[/C][C]0.2271[/C][C]0.410543[/C][/ROW]
[ROW][C]56[/C][C]0.02814[/C][C]0.218[/C][C]0.414097[/C][/ROW]
[ROW][C]57[/C][C]0.036158[/C][C]0.2801[/C][C]0.39019[/C][/ROW]
[ROW][C]58[/C][C]0.09595[/C][C]0.7432[/C][C]0.230123[/C][/ROW]
[ROW][C]59[/C][C]0.015777[/C][C]0.1222[/C][C]0.451573[/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=31406&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31406&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
10.8754156.78090
20.2966622.29790.012534
30.0857330.66410.25459
4-0.008105-0.06280.475076
50.0083520.06470.474316
6-0.025542-0.19790.421915
7-0.021049-0.1630.435517
8-0.078769-0.61010.272037
90.0014380.01110.495575
100.0102180.07910.468589
11-0.062958-0.48770.313779
12-0.129722-1.00480.159509
130.1322841.02470.154816
14-0.057536-0.44570.32872
15-0.050252-0.38930.349234
16-0.012532-0.09710.461495
17-0.079863-0.61860.269256
18-0.044193-0.34230.366654
190.044950.34820.36446
20-0.123253-0.95470.171776
210.0266910.20670.418453
22-0.073061-0.56590.286777
230.0439510.34040.367356
24-0.079297-0.61420.270692
25-0.041481-0.32130.374545
26-0.003242-0.02510.490023
270.0347830.26940.394261
28-0.135918-1.05280.148324
29-0.020713-0.16040.436536
300.0761590.58990.278728
31-0.080494-0.62350.26766
320.0336480.26060.397633
330.0430610.33350.369941
34-0.100966-0.78210.218622
35-0.02238-0.17340.431477
360.0616880.47780.317253
37-0.035555-0.27540.391974
380.0035020.02710.489226
39-0.024788-0.1920.424192
40-0.022664-0.17560.430616
410.0226450.17540.430675
420.0164980.12780.449372
43-0.150892-1.16880.123553
440.0610630.4730.318966
450.0024620.01910.492423
460.0293520.22740.410459
47-0.027286-0.21140.416663
48-0.024802-0.19210.424149
49-0.054424-0.42160.337423
500.0704550.54570.293633
510.001910.01480.494122
52-0.025918-0.20080.420781
530.0988890.7660.223343
54-0.067023-0.51920.302781
550.0293240.22710.410543
560.028140.2180.414097
570.0361580.28010.39019
580.095950.74320.230123
590.0157770.12220.451573
60NANANA



Parameters (Session):
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')