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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 04 Dec 2008 15:44:50 -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/04/t1228430785a4gyy8xer6a7c6w.htm/, Retrieved Sun, 19 May 2024 06:04:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29059, Retrieved Sun, 19 May 2024 06:04:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Tijdreeks- Evolut...] [2008-12-04 19:22:00] [a18c43c8b63fa6800a53bb187b9ddd45]
- RMPD    [(Partial) Autocorrelation Function] [Fictief voorbeeld...] [2008-12-04 22:44:50] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
10
40
12
12
14
15
16
18
19
21
22
24
25
56
28
30
31
33
34
36
37
39
40
42
43
95
46
48
49
51
52
54
55
57
58
60




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 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 & 6 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29059&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]6 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=29059&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29059&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 time6 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.504626-2.98540.00257
20.0126140.07460.470468
3-0.015769-0.09330.463102
40.0191850.11350.455142
5-0.022509-0.13320.447412
60.0224730.1330.447496
7-0.022452-0.13280.447546
80.0190150.11250.455538
9-0.015597-0.09230.463504
100.0096460.05710.477408
11-0.27818-1.64570.054385
120.5500363.25410.001262
13-0.280065-1.65690.053241
140.0129750.07680.469624
15-0.012964-0.07670.469652
160.0129160.07640.469764
17-0.012906-0.07640.469786
180.0128560.07610.469904
19-0.012849-0.0760.46992
200.0069360.0410.483751
21-0.001072-0.00630.497489
22-0.0063-0.03730.48524
23-0.167552-0.99130.164183
240.3432922.03090.024955
25-0.170844-1.01070.159543
260.0033580.01990.492131
27-0.00336-0.01990.492126
280.0032980.01950.492271
29-0.003303-0.01950.49226
300.0032380.01920.492411
31-0.003296-0.01950.492277
320.0032960.01950.492277
33-0.003406-0.02010.492019
340.0019130.01130.495516
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.504626 & -2.9854 & 0.00257 \tabularnewline
2 & 0.012614 & 0.0746 & 0.470468 \tabularnewline
3 & -0.015769 & -0.0933 & 0.463102 \tabularnewline
4 & 0.019185 & 0.1135 & 0.455142 \tabularnewline
5 & -0.022509 & -0.1332 & 0.447412 \tabularnewline
6 & 0.022473 & 0.133 & 0.447496 \tabularnewline
7 & -0.022452 & -0.1328 & 0.447546 \tabularnewline
8 & 0.019015 & 0.1125 & 0.455538 \tabularnewline
9 & -0.015597 & -0.0923 & 0.463504 \tabularnewline
10 & 0.009646 & 0.0571 & 0.477408 \tabularnewline
11 & -0.27818 & -1.6457 & 0.054385 \tabularnewline
12 & 0.550036 & 3.2541 & 0.001262 \tabularnewline
13 & -0.280065 & -1.6569 & 0.053241 \tabularnewline
14 & 0.012975 & 0.0768 & 0.469624 \tabularnewline
15 & -0.012964 & -0.0767 & 0.469652 \tabularnewline
16 & 0.012916 & 0.0764 & 0.469764 \tabularnewline
17 & -0.012906 & -0.0764 & 0.469786 \tabularnewline
18 & 0.012856 & 0.0761 & 0.469904 \tabularnewline
19 & -0.012849 & -0.076 & 0.46992 \tabularnewline
20 & 0.006936 & 0.041 & 0.483751 \tabularnewline
21 & -0.001072 & -0.0063 & 0.497489 \tabularnewline
22 & -0.0063 & -0.0373 & 0.48524 \tabularnewline
23 & -0.167552 & -0.9913 & 0.164183 \tabularnewline
24 & 0.343292 & 2.0309 & 0.024955 \tabularnewline
25 & -0.170844 & -1.0107 & 0.159543 \tabularnewline
26 & 0.003358 & 0.0199 & 0.492131 \tabularnewline
27 & -0.00336 & -0.0199 & 0.492126 \tabularnewline
28 & 0.003298 & 0.0195 & 0.492271 \tabularnewline
29 & -0.003303 & -0.0195 & 0.49226 \tabularnewline
30 & 0.003238 & 0.0192 & 0.492411 \tabularnewline
31 & -0.003296 & -0.0195 & 0.492277 \tabularnewline
32 & 0.003296 & 0.0195 & 0.492277 \tabularnewline
33 & -0.003406 & -0.0201 & 0.492019 \tabularnewline
34 & 0.001913 & 0.0113 & 0.495516 \tabularnewline
35 & NA & NA & NA \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29059&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]-0.504626[/C][C]-2.9854[/C][C]0.00257[/C][/ROW]
[ROW][C]2[/C][C]0.012614[/C][C]0.0746[/C][C]0.470468[/C][/ROW]
[ROW][C]3[/C][C]-0.015769[/C][C]-0.0933[/C][C]0.463102[/C][/ROW]
[ROW][C]4[/C][C]0.019185[/C][C]0.1135[/C][C]0.455142[/C][/ROW]
[ROW][C]5[/C][C]-0.022509[/C][C]-0.1332[/C][C]0.447412[/C][/ROW]
[ROW][C]6[/C][C]0.022473[/C][C]0.133[/C][C]0.447496[/C][/ROW]
[ROW][C]7[/C][C]-0.022452[/C][C]-0.1328[/C][C]0.447546[/C][/ROW]
[ROW][C]8[/C][C]0.019015[/C][C]0.1125[/C][C]0.455538[/C][/ROW]
[ROW][C]9[/C][C]-0.015597[/C][C]-0.0923[/C][C]0.463504[/C][/ROW]
[ROW][C]10[/C][C]0.009646[/C][C]0.0571[/C][C]0.477408[/C][/ROW]
[ROW][C]11[/C][C]-0.27818[/C][C]-1.6457[/C][C]0.054385[/C][/ROW]
[ROW][C]12[/C][C]0.550036[/C][C]3.2541[/C][C]0.001262[/C][/ROW]
[ROW][C]13[/C][C]-0.280065[/C][C]-1.6569[/C][C]0.053241[/C][/ROW]
[ROW][C]14[/C][C]0.012975[/C][C]0.0768[/C][C]0.469624[/C][/ROW]
[ROW][C]15[/C][C]-0.012964[/C][C]-0.0767[/C][C]0.469652[/C][/ROW]
[ROW][C]16[/C][C]0.012916[/C][C]0.0764[/C][C]0.469764[/C][/ROW]
[ROW][C]17[/C][C]-0.012906[/C][C]-0.0764[/C][C]0.469786[/C][/ROW]
[ROW][C]18[/C][C]0.012856[/C][C]0.0761[/C][C]0.469904[/C][/ROW]
[ROW][C]19[/C][C]-0.012849[/C][C]-0.076[/C][C]0.46992[/C][/ROW]
[ROW][C]20[/C][C]0.006936[/C][C]0.041[/C][C]0.483751[/C][/ROW]
[ROW][C]21[/C][C]-0.001072[/C][C]-0.0063[/C][C]0.497489[/C][/ROW]
[ROW][C]22[/C][C]-0.0063[/C][C]-0.0373[/C][C]0.48524[/C][/ROW]
[ROW][C]23[/C][C]-0.167552[/C][C]-0.9913[/C][C]0.164183[/C][/ROW]
[ROW][C]24[/C][C]0.343292[/C][C]2.0309[/C][C]0.024955[/C][/ROW]
[ROW][C]25[/C][C]-0.170844[/C][C]-1.0107[/C][C]0.159543[/C][/ROW]
[ROW][C]26[/C][C]0.003358[/C][C]0.0199[/C][C]0.492131[/C][/ROW]
[ROW][C]27[/C][C]-0.00336[/C][C]-0.0199[/C][C]0.492126[/C][/ROW]
[ROW][C]28[/C][C]0.003298[/C][C]0.0195[/C][C]0.492271[/C][/ROW]
[ROW][C]29[/C][C]-0.003303[/C][C]-0.0195[/C][C]0.49226[/C][/ROW]
[ROW][C]30[/C][C]0.003238[/C][C]0.0192[/C][C]0.492411[/C][/ROW]
[ROW][C]31[/C][C]-0.003296[/C][C]-0.0195[/C][C]0.492277[/C][/ROW]
[ROW][C]32[/C][C]0.003296[/C][C]0.0195[/C][C]0.492277[/C][/ROW]
[ROW][C]33[/C][C]-0.003406[/C][C]-0.0201[/C][C]0.492019[/C][/ROW]
[ROW][C]34[/C][C]0.001913[/C][C]0.0113[/C][C]0.495516[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29059&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29059&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
1-0.504626-2.98540.00257
20.0126140.07460.470468
3-0.015769-0.09330.463102
40.0191850.11350.455142
5-0.022509-0.13320.447412
60.0224730.1330.447496
7-0.022452-0.13280.447546
80.0190150.11250.455538
9-0.015597-0.09230.463504
100.0096460.05710.477408
11-0.27818-1.64570.054385
120.5500363.25410.001262
13-0.280065-1.65690.053241
140.0129750.07680.469624
15-0.012964-0.07670.469652
160.0129160.07640.469764
17-0.012906-0.07640.469786
180.0128560.07610.469904
19-0.012849-0.0760.46992
200.0069360.0410.483751
21-0.001072-0.00630.497489
22-0.0063-0.03730.48524
23-0.167552-0.99130.164183
240.3432922.03090.024955
25-0.170844-1.01070.159543
260.0033580.01990.492131
27-0.00336-0.01990.492126
280.0032980.01950.492271
29-0.003303-0.01950.49226
300.0032380.01920.492411
31-0.003296-0.01950.492277
320.0032960.01950.492277
33-0.003406-0.02010.492019
340.0019130.01130.495516
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.504626-2.98540.00257
2-0.324722-1.92110.031448
3-0.256764-1.5190.068868
4-0.186223-1.10170.139053
5-0.175349-1.03740.153337
6-0.130224-0.77040.223111
7-0.134075-0.79320.216504
8-0.105058-0.62150.269138
9-0.107784-0.63770.263922
10-0.094955-0.56180.28893
11-0.59222-3.50360.000638
12-0.035916-0.21250.416481
13-0.039484-0.23360.408332
14-0.037929-0.22440.411878
15-0.036895-0.21830.414241
16-0.04336-0.25650.399526
17-0.035046-0.20730.418476
18-0.041656-0.24640.403389
19-0.03369-0.19930.421585
20-0.049351-0.2920.38602
21-0.032604-0.19290.424081
22-0.053304-0.31540.377184
23-0.115524-0.68340.249412
24-0.061171-0.36190.359804
25-0.051077-0.30220.382154
26-0.061549-0.36410.358975
27-0.054704-0.32360.37407
28-0.06369-0.37680.3543
29-0.05967-0.3530.363097
30-0.069373-0.41040.342001
31-0.066454-0.39310.348297
32-0.061139-0.36170.359874
33-0.074086-0.43830.331932
34-0.054515-0.32250.374491
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.504626 & -2.9854 & 0.00257 \tabularnewline
2 & -0.324722 & -1.9211 & 0.031448 \tabularnewline
3 & -0.256764 & -1.519 & 0.068868 \tabularnewline
4 & -0.186223 & -1.1017 & 0.139053 \tabularnewline
5 & -0.175349 & -1.0374 & 0.153337 \tabularnewline
6 & -0.130224 & -0.7704 & 0.223111 \tabularnewline
7 & -0.134075 & -0.7932 & 0.216504 \tabularnewline
8 & -0.105058 & -0.6215 & 0.269138 \tabularnewline
9 & -0.107784 & -0.6377 & 0.263922 \tabularnewline
10 & -0.094955 & -0.5618 & 0.28893 \tabularnewline
11 & -0.59222 & -3.5036 & 0.000638 \tabularnewline
12 & -0.035916 & -0.2125 & 0.416481 \tabularnewline
13 & -0.039484 & -0.2336 & 0.408332 \tabularnewline
14 & -0.037929 & -0.2244 & 0.411878 \tabularnewline
15 & -0.036895 & -0.2183 & 0.414241 \tabularnewline
16 & -0.04336 & -0.2565 & 0.399526 \tabularnewline
17 & -0.035046 & -0.2073 & 0.418476 \tabularnewline
18 & -0.041656 & -0.2464 & 0.403389 \tabularnewline
19 & -0.03369 & -0.1993 & 0.421585 \tabularnewline
20 & -0.049351 & -0.292 & 0.38602 \tabularnewline
21 & -0.032604 & -0.1929 & 0.424081 \tabularnewline
22 & -0.053304 & -0.3154 & 0.377184 \tabularnewline
23 & -0.115524 & -0.6834 & 0.249412 \tabularnewline
24 & -0.061171 & -0.3619 & 0.359804 \tabularnewline
25 & -0.051077 & -0.3022 & 0.382154 \tabularnewline
26 & -0.061549 & -0.3641 & 0.358975 \tabularnewline
27 & -0.054704 & -0.3236 & 0.37407 \tabularnewline
28 & -0.06369 & -0.3768 & 0.3543 \tabularnewline
29 & -0.05967 & -0.353 & 0.363097 \tabularnewline
30 & -0.069373 & -0.4104 & 0.342001 \tabularnewline
31 & -0.066454 & -0.3931 & 0.348297 \tabularnewline
32 & -0.061139 & -0.3617 & 0.359874 \tabularnewline
33 & -0.074086 & -0.4383 & 0.331932 \tabularnewline
34 & -0.054515 & -0.3225 & 0.374491 \tabularnewline
35 & NA & NA & NA \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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29059&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]-0.504626[/C][C]-2.9854[/C][C]0.00257[/C][/ROW]
[ROW][C]2[/C][C]-0.324722[/C][C]-1.9211[/C][C]0.031448[/C][/ROW]
[ROW][C]3[/C][C]-0.256764[/C][C]-1.519[/C][C]0.068868[/C][/ROW]
[ROW][C]4[/C][C]-0.186223[/C][C]-1.1017[/C][C]0.139053[/C][/ROW]
[ROW][C]5[/C][C]-0.175349[/C][C]-1.0374[/C][C]0.153337[/C][/ROW]
[ROW][C]6[/C][C]-0.130224[/C][C]-0.7704[/C][C]0.223111[/C][/ROW]
[ROW][C]7[/C][C]-0.134075[/C][C]-0.7932[/C][C]0.216504[/C][/ROW]
[ROW][C]8[/C][C]-0.105058[/C][C]-0.6215[/C][C]0.269138[/C][/ROW]
[ROW][C]9[/C][C]-0.107784[/C][C]-0.6377[/C][C]0.263922[/C][/ROW]
[ROW][C]10[/C][C]-0.094955[/C][C]-0.5618[/C][C]0.28893[/C][/ROW]
[ROW][C]11[/C][C]-0.59222[/C][C]-3.5036[/C][C]0.000638[/C][/ROW]
[ROW][C]12[/C][C]-0.035916[/C][C]-0.2125[/C][C]0.416481[/C][/ROW]
[ROW][C]13[/C][C]-0.039484[/C][C]-0.2336[/C][C]0.408332[/C][/ROW]
[ROW][C]14[/C][C]-0.037929[/C][C]-0.2244[/C][C]0.411878[/C][/ROW]
[ROW][C]15[/C][C]-0.036895[/C][C]-0.2183[/C][C]0.414241[/C][/ROW]
[ROW][C]16[/C][C]-0.04336[/C][C]-0.2565[/C][C]0.399526[/C][/ROW]
[ROW][C]17[/C][C]-0.035046[/C][C]-0.2073[/C][C]0.418476[/C][/ROW]
[ROW][C]18[/C][C]-0.041656[/C][C]-0.2464[/C][C]0.403389[/C][/ROW]
[ROW][C]19[/C][C]-0.03369[/C][C]-0.1993[/C][C]0.421585[/C][/ROW]
[ROW][C]20[/C][C]-0.049351[/C][C]-0.292[/C][C]0.38602[/C][/ROW]
[ROW][C]21[/C][C]-0.032604[/C][C]-0.1929[/C][C]0.424081[/C][/ROW]
[ROW][C]22[/C][C]-0.053304[/C][C]-0.3154[/C][C]0.377184[/C][/ROW]
[ROW][C]23[/C][C]-0.115524[/C][C]-0.6834[/C][C]0.249412[/C][/ROW]
[ROW][C]24[/C][C]-0.061171[/C][C]-0.3619[/C][C]0.359804[/C][/ROW]
[ROW][C]25[/C][C]-0.051077[/C][C]-0.3022[/C][C]0.382154[/C][/ROW]
[ROW][C]26[/C][C]-0.061549[/C][C]-0.3641[/C][C]0.358975[/C][/ROW]
[ROW][C]27[/C][C]-0.054704[/C][C]-0.3236[/C][C]0.37407[/C][/ROW]
[ROW][C]28[/C][C]-0.06369[/C][C]-0.3768[/C][C]0.3543[/C][/ROW]
[ROW][C]29[/C][C]-0.05967[/C][C]-0.353[/C][C]0.363097[/C][/ROW]
[ROW][C]30[/C][C]-0.069373[/C][C]-0.4104[/C][C]0.342001[/C][/ROW]
[ROW][C]31[/C][C]-0.066454[/C][C]-0.3931[/C][C]0.348297[/C][/ROW]
[ROW][C]32[/C][C]-0.061139[/C][C]-0.3617[/C][C]0.359874[/C][/ROW]
[ROW][C]33[/C][C]-0.074086[/C][C]-0.4383[/C][C]0.331932[/C][/ROW]
[ROW][C]34[/C][C]-0.054515[/C][C]-0.3225[/C][C]0.374491[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29059&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29059&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
1-0.504626-2.98540.00257
2-0.324722-1.92110.031448
3-0.256764-1.5190.068868
4-0.186223-1.10170.139053
5-0.175349-1.03740.153337
6-0.130224-0.77040.223111
7-0.134075-0.79320.216504
8-0.105058-0.62150.269138
9-0.107784-0.63770.263922
10-0.094955-0.56180.28893
11-0.59222-3.50360.000638
12-0.035916-0.21250.416481
13-0.039484-0.23360.408332
14-0.037929-0.22440.411878
15-0.036895-0.21830.414241
16-0.04336-0.25650.399526
17-0.035046-0.20730.418476
18-0.041656-0.24640.403389
19-0.03369-0.19930.421585
20-0.049351-0.2920.38602
21-0.032604-0.19290.424081
22-0.053304-0.31540.377184
23-0.115524-0.68340.249412
24-0.061171-0.36190.359804
25-0.051077-0.30220.382154
26-0.061549-0.36410.358975
27-0.054704-0.32360.37407
28-0.06369-0.37680.3543
29-0.05967-0.3530.363097
30-0.069373-0.41040.342001
31-0.066454-0.39310.348297
32-0.061139-0.36170.359874
33-0.074086-0.43830.331932
34-0.054515-0.32250.374491
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')