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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 22 Dec 2013 12:17:51 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/22/t1387732772dsxwc4zz8q4brim.htm/, Retrieved Sun, 05 Dec 2021 18:15:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232546, Retrieved Sun, 05 Dec 2021 18:15:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-22 17:17:51] [818da16b08b21220aa14002c9e16e6e1] [Current]
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Dataseries X:
500.01
500.02
500.03
500.04
500.05
500.06
500.07
500.08
500.09
500.10
500.11
500.12
500.13
500.14
500.15
500.16
500.17
500.18
500.19
500.20
500.21
500.22
500.23
500.24
500.25
500.26
500.27
500.28
500.29
500.30
500.31
500.32
500.33
500.34
500.35
500.36
500.37
500.38
500.39
500.40
500.41
500.42
500.43
500.44
500.45
500.46
500.47
500.48
500.49
500.50
500.51
500.52
500.53
500.54
500.55
500.56
500.57
500.58
500.59
500.60
500.61
500.62
500.63
500.64
500.65
500.66
500.67
500.68
500.69
500.70
500.71




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\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 & 5 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232546&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232546&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232546&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 time5 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9577468.07010
20.9155267.71440
30.8733747.35920
40.8313217.00480
50.7894036.65160
60.7476536.29980
70.7061035.94970
80.6647895.60160
90.6237425.25571e-06
100.5829984.91243e-06
110.5425894.57191e-05
120.5025494.23453.4e-05
130.4629113.90060.000108
140.4237093.57020.000322
150.3849773.24390.000899
160.3467472.92170.002332
170.3090542.60410.005605
180.2719322.29130.012457
190.2354121.98360.025583
200.1995311.68130.048552
210.1643191.38460.085259
220.1298121.09380.138866
230.0960430.80930.210531
240.0630450.53120.29846
250.0308520.260.397823
26-0.000503-0.00420.498315
27-0.030986-0.26110.397389
28-0.060563-0.51030.305706
29-0.089202-0.75160.227379
30-0.116868-0.98470.164046
31-0.143528-1.20940.115263
32-0.169148-1.42530.079231
33-0.193696-1.63210.053542
34-0.217136-1.82960.035752
35-0.239437-2.01750.023711
36-0.260563-2.19550.015697
37-0.280483-2.36340.010425
38-0.299162-2.52080.006979
39-0.316566-2.66740.004731
40-0.332663-2.80310.003261
41-0.347418-2.92740.002295
42-0.360798-3.04010.001655
43-0.37277-3.1410.001227
44-0.3833-3.22970.000939
45-0.392354-3.3060.000743
46-0.399899-3.36960.00061
47-0.405902-3.42020.00052
48-0.410329-3.45750.000463

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.957746 & 8.0701 & 0 \tabularnewline
2 & 0.915526 & 7.7144 & 0 \tabularnewline
3 & 0.873374 & 7.3592 & 0 \tabularnewline
4 & 0.831321 & 7.0048 & 0 \tabularnewline
5 & 0.789403 & 6.6516 & 0 \tabularnewline
6 & 0.747653 & 6.2998 & 0 \tabularnewline
7 & 0.706103 & 5.9497 & 0 \tabularnewline
8 & 0.664789 & 5.6016 & 0 \tabularnewline
9 & 0.623742 & 5.2557 & 1e-06 \tabularnewline
10 & 0.582998 & 4.9124 & 3e-06 \tabularnewline
11 & 0.542589 & 4.5719 & 1e-05 \tabularnewline
12 & 0.502549 & 4.2345 & 3.4e-05 \tabularnewline
13 & 0.462911 & 3.9006 & 0.000108 \tabularnewline
14 & 0.423709 & 3.5702 & 0.000322 \tabularnewline
15 & 0.384977 & 3.2439 & 0.000899 \tabularnewline
16 & 0.346747 & 2.9217 & 0.002332 \tabularnewline
17 & 0.309054 & 2.6041 & 0.005605 \tabularnewline
18 & 0.271932 & 2.2913 & 0.012457 \tabularnewline
19 & 0.235412 & 1.9836 & 0.025583 \tabularnewline
20 & 0.199531 & 1.6813 & 0.048552 \tabularnewline
21 & 0.164319 & 1.3846 & 0.085259 \tabularnewline
22 & 0.129812 & 1.0938 & 0.138866 \tabularnewline
23 & 0.096043 & 0.8093 & 0.210531 \tabularnewline
24 & 0.063045 & 0.5312 & 0.29846 \tabularnewline
25 & 0.030852 & 0.26 & 0.397823 \tabularnewline
26 & -0.000503 & -0.0042 & 0.498315 \tabularnewline
27 & -0.030986 & -0.2611 & 0.397389 \tabularnewline
28 & -0.060563 & -0.5103 & 0.305706 \tabularnewline
29 & -0.089202 & -0.7516 & 0.227379 \tabularnewline
30 & -0.116868 & -0.9847 & 0.164046 \tabularnewline
31 & -0.143528 & -1.2094 & 0.115263 \tabularnewline
32 & -0.169148 & -1.4253 & 0.079231 \tabularnewline
33 & -0.193696 & -1.6321 & 0.053542 \tabularnewline
34 & -0.217136 & -1.8296 & 0.035752 \tabularnewline
35 & -0.239437 & -2.0175 & 0.023711 \tabularnewline
36 & -0.260563 & -2.1955 & 0.015697 \tabularnewline
37 & -0.280483 & -2.3634 & 0.010425 \tabularnewline
38 & -0.299162 & -2.5208 & 0.006979 \tabularnewline
39 & -0.316566 & -2.6674 & 0.004731 \tabularnewline
40 & -0.332663 & -2.8031 & 0.003261 \tabularnewline
41 & -0.347418 & -2.9274 & 0.002295 \tabularnewline
42 & -0.360798 & -3.0401 & 0.001655 \tabularnewline
43 & -0.37277 & -3.141 & 0.001227 \tabularnewline
44 & -0.3833 & -3.2297 & 0.000939 \tabularnewline
45 & -0.392354 & -3.306 & 0.000743 \tabularnewline
46 & -0.399899 & -3.3696 & 0.00061 \tabularnewline
47 & -0.405902 & -3.4202 & 0.00052 \tabularnewline
48 & -0.410329 & -3.4575 & 0.000463 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232546&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]0.957746[/C][C]8.0701[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.915526[/C][C]7.7144[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.873374[/C][C]7.3592[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.831321[/C][C]7.0048[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.789403[/C][C]6.6516[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.747653[/C][C]6.2998[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.706103[/C][C]5.9497[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.664789[/C][C]5.6016[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.623742[/C][C]5.2557[/C][C]1e-06[/C][/ROW]
[ROW][C]10[/C][C]0.582998[/C][C]4.9124[/C][C]3e-06[/C][/ROW]
[ROW][C]11[/C][C]0.542589[/C][C]4.5719[/C][C]1e-05[/C][/ROW]
[ROW][C]12[/C][C]0.502549[/C][C]4.2345[/C][C]3.4e-05[/C][/ROW]
[ROW][C]13[/C][C]0.462911[/C][C]3.9006[/C][C]0.000108[/C][/ROW]
[ROW][C]14[/C][C]0.423709[/C][C]3.5702[/C][C]0.000322[/C][/ROW]
[ROW][C]15[/C][C]0.384977[/C][C]3.2439[/C][C]0.000899[/C][/ROW]
[ROW][C]16[/C][C]0.346747[/C][C]2.9217[/C][C]0.002332[/C][/ROW]
[ROW][C]17[/C][C]0.309054[/C][C]2.6041[/C][C]0.005605[/C][/ROW]
[ROW][C]18[/C][C]0.271932[/C][C]2.2913[/C][C]0.012457[/C][/ROW]
[ROW][C]19[/C][C]0.235412[/C][C]1.9836[/C][C]0.025583[/C][/ROW]
[ROW][C]20[/C][C]0.199531[/C][C]1.6813[/C][C]0.048552[/C][/ROW]
[ROW][C]21[/C][C]0.164319[/C][C]1.3846[/C][C]0.085259[/C][/ROW]
[ROW][C]22[/C][C]0.129812[/C][C]1.0938[/C][C]0.138866[/C][/ROW]
[ROW][C]23[/C][C]0.096043[/C][C]0.8093[/C][C]0.210531[/C][/ROW]
[ROW][C]24[/C][C]0.063045[/C][C]0.5312[/C][C]0.29846[/C][/ROW]
[ROW][C]25[/C][C]0.030852[/C][C]0.26[/C][C]0.397823[/C][/ROW]
[ROW][C]26[/C][C]-0.000503[/C][C]-0.0042[/C][C]0.498315[/C][/ROW]
[ROW][C]27[/C][C]-0.030986[/C][C]-0.2611[/C][C]0.397389[/C][/ROW]
[ROW][C]28[/C][C]-0.060563[/C][C]-0.5103[/C][C]0.305706[/C][/ROW]
[ROW][C]29[/C][C]-0.089202[/C][C]-0.7516[/C][C]0.227379[/C][/ROW]
[ROW][C]30[/C][C]-0.116868[/C][C]-0.9847[/C][C]0.164046[/C][/ROW]
[ROW][C]31[/C][C]-0.143528[/C][C]-1.2094[/C][C]0.115263[/C][/ROW]
[ROW][C]32[/C][C]-0.169148[/C][C]-1.4253[/C][C]0.079231[/C][/ROW]
[ROW][C]33[/C][C]-0.193696[/C][C]-1.6321[/C][C]0.053542[/C][/ROW]
[ROW][C]34[/C][C]-0.217136[/C][C]-1.8296[/C][C]0.035752[/C][/ROW]
[ROW][C]35[/C][C]-0.239437[/C][C]-2.0175[/C][C]0.023711[/C][/ROW]
[ROW][C]36[/C][C]-0.260563[/C][C]-2.1955[/C][C]0.015697[/C][/ROW]
[ROW][C]37[/C][C]-0.280483[/C][C]-2.3634[/C][C]0.010425[/C][/ROW]
[ROW][C]38[/C][C]-0.299162[/C][C]-2.5208[/C][C]0.006979[/C][/ROW]
[ROW][C]39[/C][C]-0.316566[/C][C]-2.6674[/C][C]0.004731[/C][/ROW]
[ROW][C]40[/C][C]-0.332663[/C][C]-2.8031[/C][C]0.003261[/C][/ROW]
[ROW][C]41[/C][C]-0.347418[/C][C]-2.9274[/C][C]0.002295[/C][/ROW]
[ROW][C]42[/C][C]-0.360798[/C][C]-3.0401[/C][C]0.001655[/C][/ROW]
[ROW][C]43[/C][C]-0.37277[/C][C]-3.141[/C][C]0.001227[/C][/ROW]
[ROW][C]44[/C][C]-0.3833[/C][C]-3.2297[/C][C]0.000939[/C][/ROW]
[ROW][C]45[/C][C]-0.392354[/C][C]-3.306[/C][C]0.000743[/C][/ROW]
[ROW][C]46[/C][C]-0.399899[/C][C]-3.3696[/C][C]0.00061[/C][/ROW]
[ROW][C]47[/C][C]-0.405902[/C][C]-3.4202[/C][C]0.00052[/C][/ROW]
[ROW][C]48[/C][C]-0.410329[/C][C]-3.4575[/C][C]0.000463[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232546&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232546&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
10.9577468.07010
20.9155267.71440
30.8733747.35920
40.8313217.00480
50.7894036.65160
60.7476536.29980
70.7061035.94970
80.6647895.60160
90.6237425.25571e-06
100.5829984.91243e-06
110.5425894.57191e-05
120.5025494.23453.4e-05
130.4629113.90060.000108
140.4237093.57020.000322
150.3849773.24390.000899
160.3467472.92170.002332
170.3090542.60410.005605
180.2719322.29130.012457
190.2354121.98360.025583
200.1995311.68130.048552
210.1643191.38460.085259
220.1298121.09380.138866
230.0960430.80930.210531
240.0630450.53120.29846
250.0308520.260.397823
26-0.000503-0.00420.498315
27-0.030986-0.26110.397389
28-0.060563-0.51030.305706
29-0.089202-0.75160.227379
30-0.116868-0.98470.164046
31-0.143528-1.20940.115263
32-0.169148-1.42530.079231
33-0.193696-1.63210.053542
34-0.217136-1.82960.035752
35-0.239437-2.01750.023711
36-0.260563-2.19550.015697
37-0.280483-2.36340.010425
38-0.299162-2.52080.006979
39-0.316566-2.66740.004731
40-0.332663-2.80310.003261
41-0.347418-2.92740.002295
42-0.360798-3.04010.001655
43-0.37277-3.1410.001227
44-0.3833-3.22970.000939
45-0.392354-3.3060.000743
46-0.399899-3.36960.00061
47-0.405902-3.42020.00052
48-0.410329-3.45750.000463







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9577468.07010
2-0.021177-0.17840.429441
3-0.02123-0.17890.429269
4-0.021283-0.17930.429092
5-0.021338-0.17980.428913
6-0.021393-0.18030.428732
7-0.021447-0.18070.428551
8-0.021502-0.18120.428372
9-0.021555-0.18160.428197
10-0.021607-0.18210.428027
11-0.021656-0.18250.427864
12-0.021703-0.18290.427711
13-0.021746-0.18320.427569
14-0.021784-0.18360.427442
15-0.021818-0.18380.427331
16-0.021846-0.18410.427239
17-0.021867-0.18430.42717
18-0.02188-0.18440.427126
19-0.021885-0.18440.427111
20-0.021879-0.18440.427129
21-0.021863-0.18420.427182
22-0.021834-0.1840.427277
23-0.021792-0.18360.427416
24-0.021735-0.18310.427605
25-0.02166-0.18250.42785
26-0.021568-0.18170.428154
27-0.021455-0.18080.428526
28-0.02132-0.17960.42897
29-0.021161-0.17830.429494
30-0.020976-0.17670.430106
31-0.020762-0.17490.430812
32-0.020516-0.17290.431621
33-0.020237-0.17050.432542
34-0.019922-0.16790.433585
35-0.019566-0.16490.434758
36-0.019168-0.16150.436074
37-0.018724-0.15780.437543
38-0.01823-0.15360.439176
39-0.017683-0.1490.440987
40-0.01708-0.14390.442987
41-0.016415-0.13830.44519
42-0.015686-0.13220.447611
43-0.014888-0.12540.450262
44-0.014016-0.11810.453159
45-0.013067-0.11010.456317
46-0.012036-0.10140.459752
47-0.010919-0.0920.463477
48-0.009711-0.08180.467509

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.957746 & 8.0701 & 0 \tabularnewline
2 & -0.021177 & -0.1784 & 0.429441 \tabularnewline
3 & -0.02123 & -0.1789 & 0.429269 \tabularnewline
4 & -0.021283 & -0.1793 & 0.429092 \tabularnewline
5 & -0.021338 & -0.1798 & 0.428913 \tabularnewline
6 & -0.021393 & -0.1803 & 0.428732 \tabularnewline
7 & -0.021447 & -0.1807 & 0.428551 \tabularnewline
8 & -0.021502 & -0.1812 & 0.428372 \tabularnewline
9 & -0.021555 & -0.1816 & 0.428197 \tabularnewline
10 & -0.021607 & -0.1821 & 0.428027 \tabularnewline
11 & -0.021656 & -0.1825 & 0.427864 \tabularnewline
12 & -0.021703 & -0.1829 & 0.427711 \tabularnewline
13 & -0.021746 & -0.1832 & 0.427569 \tabularnewline
14 & -0.021784 & -0.1836 & 0.427442 \tabularnewline
15 & -0.021818 & -0.1838 & 0.427331 \tabularnewline
16 & -0.021846 & -0.1841 & 0.427239 \tabularnewline
17 & -0.021867 & -0.1843 & 0.42717 \tabularnewline
18 & -0.02188 & -0.1844 & 0.427126 \tabularnewline
19 & -0.021885 & -0.1844 & 0.427111 \tabularnewline
20 & -0.021879 & -0.1844 & 0.427129 \tabularnewline
21 & -0.021863 & -0.1842 & 0.427182 \tabularnewline
22 & -0.021834 & -0.184 & 0.427277 \tabularnewline
23 & -0.021792 & -0.1836 & 0.427416 \tabularnewline
24 & -0.021735 & -0.1831 & 0.427605 \tabularnewline
25 & -0.02166 & -0.1825 & 0.42785 \tabularnewline
26 & -0.021568 & -0.1817 & 0.428154 \tabularnewline
27 & -0.021455 & -0.1808 & 0.428526 \tabularnewline
28 & -0.02132 & -0.1796 & 0.42897 \tabularnewline
29 & -0.021161 & -0.1783 & 0.429494 \tabularnewline
30 & -0.020976 & -0.1767 & 0.430106 \tabularnewline
31 & -0.020762 & -0.1749 & 0.430812 \tabularnewline
32 & -0.020516 & -0.1729 & 0.431621 \tabularnewline
33 & -0.020237 & -0.1705 & 0.432542 \tabularnewline
34 & -0.019922 & -0.1679 & 0.433585 \tabularnewline
35 & -0.019566 & -0.1649 & 0.434758 \tabularnewline
36 & -0.019168 & -0.1615 & 0.436074 \tabularnewline
37 & -0.018724 & -0.1578 & 0.437543 \tabularnewline
38 & -0.01823 & -0.1536 & 0.439176 \tabularnewline
39 & -0.017683 & -0.149 & 0.440987 \tabularnewline
40 & -0.01708 & -0.1439 & 0.442987 \tabularnewline
41 & -0.016415 & -0.1383 & 0.44519 \tabularnewline
42 & -0.015686 & -0.1322 & 0.447611 \tabularnewline
43 & -0.014888 & -0.1254 & 0.450262 \tabularnewline
44 & -0.014016 & -0.1181 & 0.453159 \tabularnewline
45 & -0.013067 & -0.1101 & 0.456317 \tabularnewline
46 & -0.012036 & -0.1014 & 0.459752 \tabularnewline
47 & -0.010919 & -0.092 & 0.463477 \tabularnewline
48 & -0.009711 & -0.0818 & 0.467509 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232546&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]0.957746[/C][C]8.0701[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.021177[/C][C]-0.1784[/C][C]0.429441[/C][/ROW]
[ROW][C]3[/C][C]-0.02123[/C][C]-0.1789[/C][C]0.429269[/C][/ROW]
[ROW][C]4[/C][C]-0.021283[/C][C]-0.1793[/C][C]0.429092[/C][/ROW]
[ROW][C]5[/C][C]-0.021338[/C][C]-0.1798[/C][C]0.428913[/C][/ROW]
[ROW][C]6[/C][C]-0.021393[/C][C]-0.1803[/C][C]0.428732[/C][/ROW]
[ROW][C]7[/C][C]-0.021447[/C][C]-0.1807[/C][C]0.428551[/C][/ROW]
[ROW][C]8[/C][C]-0.021502[/C][C]-0.1812[/C][C]0.428372[/C][/ROW]
[ROW][C]9[/C][C]-0.021555[/C][C]-0.1816[/C][C]0.428197[/C][/ROW]
[ROW][C]10[/C][C]-0.021607[/C][C]-0.1821[/C][C]0.428027[/C][/ROW]
[ROW][C]11[/C][C]-0.021656[/C][C]-0.1825[/C][C]0.427864[/C][/ROW]
[ROW][C]12[/C][C]-0.021703[/C][C]-0.1829[/C][C]0.427711[/C][/ROW]
[ROW][C]13[/C][C]-0.021746[/C][C]-0.1832[/C][C]0.427569[/C][/ROW]
[ROW][C]14[/C][C]-0.021784[/C][C]-0.1836[/C][C]0.427442[/C][/ROW]
[ROW][C]15[/C][C]-0.021818[/C][C]-0.1838[/C][C]0.427331[/C][/ROW]
[ROW][C]16[/C][C]-0.021846[/C][C]-0.1841[/C][C]0.427239[/C][/ROW]
[ROW][C]17[/C][C]-0.021867[/C][C]-0.1843[/C][C]0.42717[/C][/ROW]
[ROW][C]18[/C][C]-0.02188[/C][C]-0.1844[/C][C]0.427126[/C][/ROW]
[ROW][C]19[/C][C]-0.021885[/C][C]-0.1844[/C][C]0.427111[/C][/ROW]
[ROW][C]20[/C][C]-0.021879[/C][C]-0.1844[/C][C]0.427129[/C][/ROW]
[ROW][C]21[/C][C]-0.021863[/C][C]-0.1842[/C][C]0.427182[/C][/ROW]
[ROW][C]22[/C][C]-0.021834[/C][C]-0.184[/C][C]0.427277[/C][/ROW]
[ROW][C]23[/C][C]-0.021792[/C][C]-0.1836[/C][C]0.427416[/C][/ROW]
[ROW][C]24[/C][C]-0.021735[/C][C]-0.1831[/C][C]0.427605[/C][/ROW]
[ROW][C]25[/C][C]-0.02166[/C][C]-0.1825[/C][C]0.42785[/C][/ROW]
[ROW][C]26[/C][C]-0.021568[/C][C]-0.1817[/C][C]0.428154[/C][/ROW]
[ROW][C]27[/C][C]-0.021455[/C][C]-0.1808[/C][C]0.428526[/C][/ROW]
[ROW][C]28[/C][C]-0.02132[/C][C]-0.1796[/C][C]0.42897[/C][/ROW]
[ROW][C]29[/C][C]-0.021161[/C][C]-0.1783[/C][C]0.429494[/C][/ROW]
[ROW][C]30[/C][C]-0.020976[/C][C]-0.1767[/C][C]0.430106[/C][/ROW]
[ROW][C]31[/C][C]-0.020762[/C][C]-0.1749[/C][C]0.430812[/C][/ROW]
[ROW][C]32[/C][C]-0.020516[/C][C]-0.1729[/C][C]0.431621[/C][/ROW]
[ROW][C]33[/C][C]-0.020237[/C][C]-0.1705[/C][C]0.432542[/C][/ROW]
[ROW][C]34[/C][C]-0.019922[/C][C]-0.1679[/C][C]0.433585[/C][/ROW]
[ROW][C]35[/C][C]-0.019566[/C][C]-0.1649[/C][C]0.434758[/C][/ROW]
[ROW][C]36[/C][C]-0.019168[/C][C]-0.1615[/C][C]0.436074[/C][/ROW]
[ROW][C]37[/C][C]-0.018724[/C][C]-0.1578[/C][C]0.437543[/C][/ROW]
[ROW][C]38[/C][C]-0.01823[/C][C]-0.1536[/C][C]0.439176[/C][/ROW]
[ROW][C]39[/C][C]-0.017683[/C][C]-0.149[/C][C]0.440987[/C][/ROW]
[ROW][C]40[/C][C]-0.01708[/C][C]-0.1439[/C][C]0.442987[/C][/ROW]
[ROW][C]41[/C][C]-0.016415[/C][C]-0.1383[/C][C]0.44519[/C][/ROW]
[ROW][C]42[/C][C]-0.015686[/C][C]-0.1322[/C][C]0.447611[/C][/ROW]
[ROW][C]43[/C][C]-0.014888[/C][C]-0.1254[/C][C]0.450262[/C][/ROW]
[ROW][C]44[/C][C]-0.014016[/C][C]-0.1181[/C][C]0.453159[/C][/ROW]
[ROW][C]45[/C][C]-0.013067[/C][C]-0.1101[/C][C]0.456317[/C][/ROW]
[ROW][C]46[/C][C]-0.012036[/C][C]-0.1014[/C][C]0.459752[/C][/ROW]
[ROW][C]47[/C][C]-0.010919[/C][C]-0.092[/C][C]0.463477[/C][/ROW]
[ROW][C]48[/C][C]-0.009711[/C][C]-0.0818[/C][C]0.467509[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232546&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232546&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
10.9577468.07010
2-0.021177-0.17840.429441
3-0.02123-0.17890.429269
4-0.021283-0.17930.429092
5-0.021338-0.17980.428913
6-0.021393-0.18030.428732
7-0.021447-0.18070.428551
8-0.021502-0.18120.428372
9-0.021555-0.18160.428197
10-0.021607-0.18210.428027
11-0.021656-0.18250.427864
12-0.021703-0.18290.427711
13-0.021746-0.18320.427569
14-0.021784-0.18360.427442
15-0.021818-0.18380.427331
16-0.021846-0.18410.427239
17-0.021867-0.18430.42717
18-0.02188-0.18440.427126
19-0.021885-0.18440.427111
20-0.021879-0.18440.427129
21-0.021863-0.18420.427182
22-0.021834-0.1840.427277
23-0.021792-0.18360.427416
24-0.021735-0.18310.427605
25-0.02166-0.18250.42785
26-0.021568-0.18170.428154
27-0.021455-0.18080.428526
28-0.02132-0.17960.42897
29-0.021161-0.17830.429494
30-0.020976-0.17670.430106
31-0.020762-0.17490.430812
32-0.020516-0.17290.431621
33-0.020237-0.17050.432542
34-0.019922-0.16790.433585
35-0.019566-0.16490.434758
36-0.019168-0.16150.436074
37-0.018724-0.15780.437543
38-0.01823-0.15360.439176
39-0.017683-0.1490.440987
40-0.01708-0.14390.442987
41-0.016415-0.13830.44519
42-0.015686-0.13220.447611
43-0.014888-0.12540.450262
44-0.014016-0.11810.453159
45-0.013067-0.11010.456317
46-0.012036-0.10140.459752
47-0.010919-0.0920.463477
48-0.009711-0.08180.467509



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
R code (references can be found in the software module):
par8 <- ''
par7 <- '0.95'
par6 <- 'White Noise'
par5 <- '12'
par4 <- '0'
par3 <- '0'
par2 <- '1'
par1 <- 'Default'
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')