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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 18 Nov 2011 09:52:29 -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/2011/Nov/18/t13216280360q6aikrg6mjxo77.htm/, Retrieved Fri, 29 Mar 2024 09:52:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145461, Retrieved Fri, 29 Mar 2024 09:52:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [prijs haarsnit heren] [2011-11-18 14:52:29] [d0059bb5ffa81669f18ca7953f72fb2d] [Current]
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Dataseries X:
15,58
15,66
15,73
15,74
15,77
15,78
15,8
15,81
15,82
15,88
15,85
15,89
15,92
16,02
16,1
16,13
16,21
16,25
16,27
16,21
16,21
16,24
16,32
16,32
16,36
16,48
16,54
16,58
16,56
16,55
16,58
16,53
16,6
16,46
16,48
16,48
16,49
16,54
16,67
16,72
16,79
16,86
16,84
16,86
16,96
17,01
17,02
17,04
17,04
17,39
17,54
17,57
17,58
17,56
17,63
17,67
17,71
17,75
17,82
17,86




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145461&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145461&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145461&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'Gertrude Mary Cox' @ cox.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9381277.26670
20.8767936.79160
30.8186256.3410
40.760785.8930
50.703665.45050
60.6449734.99593e-06
70.5884744.55831.3e-05
80.5295884.10226.3e-05
90.4690153.6330.000291
100.4082583.16230.001228
110.3509482.71840.004282
120.3105062.40520.009633
130.2674852.07190.021289
140.2267291.75620.042075
150.1871371.44960.076194
160.1497131.15970.125388
170.1209310.93670.176327
180.093780.72640.235204
190.0654640.50710.306978
200.0368870.28570.388036
210.0108060.08370.466785
22-0.012077-0.09350.46289
23-0.026059-0.20190.420358
24-0.040232-0.31160.3782
25-0.055652-0.43110.333978
26-0.068402-0.52980.299089
27-0.07864-0.60910.272366
28-0.09681-0.74990.228127
29-0.113956-0.88270.190461
30-0.135588-1.05030.148906
31-0.154724-1.19850.11772
32-0.177498-1.37490.087138
33-0.200192-1.55070.063119
34-0.2293-1.77620.040389
35-0.256323-1.98550.025834
36-0.279051-2.16150.017328
37-0.302329-2.34180.011264
38-0.325675-2.52270.007158
39-0.341032-2.64160.005253
40-0.353213-2.7360.004084
41-0.363933-2.8190.003258
42-0.376309-2.91490.002498
43-0.389828-3.01960.001857
44-0.401984-3.11380.001415
45-0.406591-3.14940.001275
46-0.408785-3.16640.001213
47-0.407079-3.15320.001261
48-0.400543-3.10260.001462

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.938127 & 7.2667 & 0 \tabularnewline
2 & 0.876793 & 6.7916 & 0 \tabularnewline
3 & 0.818625 & 6.341 & 0 \tabularnewline
4 & 0.76078 & 5.893 & 0 \tabularnewline
5 & 0.70366 & 5.4505 & 0 \tabularnewline
6 & 0.644973 & 4.9959 & 3e-06 \tabularnewline
7 & 0.588474 & 4.5583 & 1.3e-05 \tabularnewline
8 & 0.529588 & 4.1022 & 6.3e-05 \tabularnewline
9 & 0.469015 & 3.633 & 0.000291 \tabularnewline
10 & 0.408258 & 3.1623 & 0.001228 \tabularnewline
11 & 0.350948 & 2.7184 & 0.004282 \tabularnewline
12 & 0.310506 & 2.4052 & 0.009633 \tabularnewline
13 & 0.267485 & 2.0719 & 0.021289 \tabularnewline
14 & 0.226729 & 1.7562 & 0.042075 \tabularnewline
15 & 0.187137 & 1.4496 & 0.076194 \tabularnewline
16 & 0.149713 & 1.1597 & 0.125388 \tabularnewline
17 & 0.120931 & 0.9367 & 0.176327 \tabularnewline
18 & 0.09378 & 0.7264 & 0.235204 \tabularnewline
19 & 0.065464 & 0.5071 & 0.306978 \tabularnewline
20 & 0.036887 & 0.2857 & 0.388036 \tabularnewline
21 & 0.010806 & 0.0837 & 0.466785 \tabularnewline
22 & -0.012077 & -0.0935 & 0.46289 \tabularnewline
23 & -0.026059 & -0.2019 & 0.420358 \tabularnewline
24 & -0.040232 & -0.3116 & 0.3782 \tabularnewline
25 & -0.055652 & -0.4311 & 0.333978 \tabularnewline
26 & -0.068402 & -0.5298 & 0.299089 \tabularnewline
27 & -0.07864 & -0.6091 & 0.272366 \tabularnewline
28 & -0.09681 & -0.7499 & 0.228127 \tabularnewline
29 & -0.113956 & -0.8827 & 0.190461 \tabularnewline
30 & -0.135588 & -1.0503 & 0.148906 \tabularnewline
31 & -0.154724 & -1.1985 & 0.11772 \tabularnewline
32 & -0.177498 & -1.3749 & 0.087138 \tabularnewline
33 & -0.200192 & -1.5507 & 0.063119 \tabularnewline
34 & -0.2293 & -1.7762 & 0.040389 \tabularnewline
35 & -0.256323 & -1.9855 & 0.025834 \tabularnewline
36 & -0.279051 & -2.1615 & 0.017328 \tabularnewline
37 & -0.302329 & -2.3418 & 0.011264 \tabularnewline
38 & -0.325675 & -2.5227 & 0.007158 \tabularnewline
39 & -0.341032 & -2.6416 & 0.005253 \tabularnewline
40 & -0.353213 & -2.736 & 0.004084 \tabularnewline
41 & -0.363933 & -2.819 & 0.003258 \tabularnewline
42 & -0.376309 & -2.9149 & 0.002498 \tabularnewline
43 & -0.389828 & -3.0196 & 0.001857 \tabularnewline
44 & -0.401984 & -3.1138 & 0.001415 \tabularnewline
45 & -0.406591 & -3.1494 & 0.001275 \tabularnewline
46 & -0.408785 & -3.1664 & 0.001213 \tabularnewline
47 & -0.407079 & -3.1532 & 0.001261 \tabularnewline
48 & -0.400543 & -3.1026 & 0.001462 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145461&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]0.938127[/C][C]7.2667[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.876793[/C][C]6.7916[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.818625[/C][C]6.341[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.76078[/C][C]5.893[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.70366[/C][C]5.4505[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.644973[/C][C]4.9959[/C][C]3e-06[/C][/ROW]
[ROW][C]7[/C][C]0.588474[/C][C]4.5583[/C][C]1.3e-05[/C][/ROW]
[ROW][C]8[/C][C]0.529588[/C][C]4.1022[/C][C]6.3e-05[/C][/ROW]
[ROW][C]9[/C][C]0.469015[/C][C]3.633[/C][C]0.000291[/C][/ROW]
[ROW][C]10[/C][C]0.408258[/C][C]3.1623[/C][C]0.001228[/C][/ROW]
[ROW][C]11[/C][C]0.350948[/C][C]2.7184[/C][C]0.004282[/C][/ROW]
[ROW][C]12[/C][C]0.310506[/C][C]2.4052[/C][C]0.009633[/C][/ROW]
[ROW][C]13[/C][C]0.267485[/C][C]2.0719[/C][C]0.021289[/C][/ROW]
[ROW][C]14[/C][C]0.226729[/C][C]1.7562[/C][C]0.042075[/C][/ROW]
[ROW][C]15[/C][C]0.187137[/C][C]1.4496[/C][C]0.076194[/C][/ROW]
[ROW][C]16[/C][C]0.149713[/C][C]1.1597[/C][C]0.125388[/C][/ROW]
[ROW][C]17[/C][C]0.120931[/C][C]0.9367[/C][C]0.176327[/C][/ROW]
[ROW][C]18[/C][C]0.09378[/C][C]0.7264[/C][C]0.235204[/C][/ROW]
[ROW][C]19[/C][C]0.065464[/C][C]0.5071[/C][C]0.306978[/C][/ROW]
[ROW][C]20[/C][C]0.036887[/C][C]0.2857[/C][C]0.388036[/C][/ROW]
[ROW][C]21[/C][C]0.010806[/C][C]0.0837[/C][C]0.466785[/C][/ROW]
[ROW][C]22[/C][C]-0.012077[/C][C]-0.0935[/C][C]0.46289[/C][/ROW]
[ROW][C]23[/C][C]-0.026059[/C][C]-0.2019[/C][C]0.420358[/C][/ROW]
[ROW][C]24[/C][C]-0.040232[/C][C]-0.3116[/C][C]0.3782[/C][/ROW]
[ROW][C]25[/C][C]-0.055652[/C][C]-0.4311[/C][C]0.333978[/C][/ROW]
[ROW][C]26[/C][C]-0.068402[/C][C]-0.5298[/C][C]0.299089[/C][/ROW]
[ROW][C]27[/C][C]-0.07864[/C][C]-0.6091[/C][C]0.272366[/C][/ROW]
[ROW][C]28[/C][C]-0.09681[/C][C]-0.7499[/C][C]0.228127[/C][/ROW]
[ROW][C]29[/C][C]-0.113956[/C][C]-0.8827[/C][C]0.190461[/C][/ROW]
[ROW][C]30[/C][C]-0.135588[/C][C]-1.0503[/C][C]0.148906[/C][/ROW]
[ROW][C]31[/C][C]-0.154724[/C][C]-1.1985[/C][C]0.11772[/C][/ROW]
[ROW][C]32[/C][C]-0.177498[/C][C]-1.3749[/C][C]0.087138[/C][/ROW]
[ROW][C]33[/C][C]-0.200192[/C][C]-1.5507[/C][C]0.063119[/C][/ROW]
[ROW][C]34[/C][C]-0.2293[/C][C]-1.7762[/C][C]0.040389[/C][/ROW]
[ROW][C]35[/C][C]-0.256323[/C][C]-1.9855[/C][C]0.025834[/C][/ROW]
[ROW][C]36[/C][C]-0.279051[/C][C]-2.1615[/C][C]0.017328[/C][/ROW]
[ROW][C]37[/C][C]-0.302329[/C][C]-2.3418[/C][C]0.011264[/C][/ROW]
[ROW][C]38[/C][C]-0.325675[/C][C]-2.5227[/C][C]0.007158[/C][/ROW]
[ROW][C]39[/C][C]-0.341032[/C][C]-2.6416[/C][C]0.005253[/C][/ROW]
[ROW][C]40[/C][C]-0.353213[/C][C]-2.736[/C][C]0.004084[/C][/ROW]
[ROW][C]41[/C][C]-0.363933[/C][C]-2.819[/C][C]0.003258[/C][/ROW]
[ROW][C]42[/C][C]-0.376309[/C][C]-2.9149[/C][C]0.002498[/C][/ROW]
[ROW][C]43[/C][C]-0.389828[/C][C]-3.0196[/C][C]0.001857[/C][/ROW]
[ROW][C]44[/C][C]-0.401984[/C][C]-3.1138[/C][C]0.001415[/C][/ROW]
[ROW][C]45[/C][C]-0.406591[/C][C]-3.1494[/C][C]0.001275[/C][/ROW]
[ROW][C]46[/C][C]-0.408785[/C][C]-3.1664[/C][C]0.001213[/C][/ROW]
[ROW][C]47[/C][C]-0.407079[/C][C]-3.1532[/C][C]0.001261[/C][/ROW]
[ROW][C]48[/C][C]-0.400543[/C][C]-3.1026[/C][C]0.001462[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145461&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145461&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
10.9381277.26670
20.8767936.79160
30.8186256.3410
40.760785.8930
50.703665.45050
60.6449734.99593e-06
70.5884744.55831.3e-05
80.5295884.10226.3e-05
90.4690153.6330.000291
100.4082583.16230.001228
110.3509482.71840.004282
120.3105062.40520.009633
130.2674852.07190.021289
140.2267291.75620.042075
150.1871371.44960.076194
160.1497131.15970.125388
170.1209310.93670.176327
180.093780.72640.235204
190.0654640.50710.306978
200.0368870.28570.388036
210.0108060.08370.466785
22-0.012077-0.09350.46289
23-0.026059-0.20190.420358
24-0.040232-0.31160.3782
25-0.055652-0.43110.333978
26-0.068402-0.52980.299089
27-0.07864-0.60910.272366
28-0.09681-0.74990.228127
29-0.113956-0.88270.190461
30-0.135588-1.05030.148906
31-0.154724-1.19850.11772
32-0.177498-1.37490.087138
33-0.200192-1.55070.063119
34-0.2293-1.77620.040389
35-0.256323-1.98550.025834
36-0.279051-2.16150.017328
37-0.302329-2.34180.011264
38-0.325675-2.52270.007158
39-0.341032-2.64160.005253
40-0.353213-2.7360.004084
41-0.363933-2.8190.003258
42-0.376309-2.91490.002498
43-0.389828-3.01960.001857
44-0.401984-3.11380.001415
45-0.406591-3.14940.001275
46-0.408785-3.16640.001213
47-0.407079-3.15320.001261
48-0.400543-3.10260.001462







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9381277.26670
2-0.027424-0.21240.416248
3-0.00624-0.04830.480806
4-0.029125-0.22560.411139
5-0.026148-0.20250.420088
6-0.04647-0.360.360073
7-0.017103-0.13250.447523
8-0.056093-0.43450.332745
9-0.051909-0.40210.344526
10-0.043904-0.34010.367491
11-0.014445-0.11190.455642
120.099250.76880.222518
13-0.051555-0.39930.345528
14-0.009731-0.07540.470083
15-0.025468-0.19730.422141
16-0.014711-0.1140.454828
170.0366920.28420.388611
18-0.011605-0.08990.464337
19-0.044469-0.34450.365854
20-0.036883-0.28570.388048
21-0.012857-0.09960.4605
22-4.4e-05-3e-040.499864
230.0646350.50070.309221
24-0.033258-0.25760.398792
25-0.030534-0.23650.40692
26-0.003733-0.02890.488513
270.0047370.03670.485425
28-0.073314-0.56790.286115
29-0.018141-0.14050.444359
30-0.078435-0.60760.272888
31-0.01364-0.10570.458104
32-0.057992-0.44920.327452
33-0.017973-0.13920.444871
34-0.075541-0.58510.280324
35-0.027292-0.21140.416645
36-0.0061-0.04730.481235
37-0.028261-0.21890.413732
38-0.03179-0.24620.403167
390.0242730.1880.425749
40-0.006641-0.05140.479571
41-0.03394-0.26290.396764
42-0.038745-0.30010.382562
43-0.054645-0.42330.336803
44-0.035028-0.27130.393536
450.0145870.1130.455207
46-0.014951-0.11580.454096
470.0054420.04220.483259
480.0078140.06050.475968

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.938127 & 7.2667 & 0 \tabularnewline
2 & -0.027424 & -0.2124 & 0.416248 \tabularnewline
3 & -0.00624 & -0.0483 & 0.480806 \tabularnewline
4 & -0.029125 & -0.2256 & 0.411139 \tabularnewline
5 & -0.026148 & -0.2025 & 0.420088 \tabularnewline
6 & -0.04647 & -0.36 & 0.360073 \tabularnewline
7 & -0.017103 & -0.1325 & 0.447523 \tabularnewline
8 & -0.056093 & -0.4345 & 0.332745 \tabularnewline
9 & -0.051909 & -0.4021 & 0.344526 \tabularnewline
10 & -0.043904 & -0.3401 & 0.367491 \tabularnewline
11 & -0.014445 & -0.1119 & 0.455642 \tabularnewline
12 & 0.09925 & 0.7688 & 0.222518 \tabularnewline
13 & -0.051555 & -0.3993 & 0.345528 \tabularnewline
14 & -0.009731 & -0.0754 & 0.470083 \tabularnewline
15 & -0.025468 & -0.1973 & 0.422141 \tabularnewline
16 & -0.014711 & -0.114 & 0.454828 \tabularnewline
17 & 0.036692 & 0.2842 & 0.388611 \tabularnewline
18 & -0.011605 & -0.0899 & 0.464337 \tabularnewline
19 & -0.044469 & -0.3445 & 0.365854 \tabularnewline
20 & -0.036883 & -0.2857 & 0.388048 \tabularnewline
21 & -0.012857 & -0.0996 & 0.4605 \tabularnewline
22 & -4.4e-05 & -3e-04 & 0.499864 \tabularnewline
23 & 0.064635 & 0.5007 & 0.309221 \tabularnewline
24 & -0.033258 & -0.2576 & 0.398792 \tabularnewline
25 & -0.030534 & -0.2365 & 0.40692 \tabularnewline
26 & -0.003733 & -0.0289 & 0.488513 \tabularnewline
27 & 0.004737 & 0.0367 & 0.485425 \tabularnewline
28 & -0.073314 & -0.5679 & 0.286115 \tabularnewline
29 & -0.018141 & -0.1405 & 0.444359 \tabularnewline
30 & -0.078435 & -0.6076 & 0.272888 \tabularnewline
31 & -0.01364 & -0.1057 & 0.458104 \tabularnewline
32 & -0.057992 & -0.4492 & 0.327452 \tabularnewline
33 & -0.017973 & -0.1392 & 0.444871 \tabularnewline
34 & -0.075541 & -0.5851 & 0.280324 \tabularnewline
35 & -0.027292 & -0.2114 & 0.416645 \tabularnewline
36 & -0.0061 & -0.0473 & 0.481235 \tabularnewline
37 & -0.028261 & -0.2189 & 0.413732 \tabularnewline
38 & -0.03179 & -0.2462 & 0.403167 \tabularnewline
39 & 0.024273 & 0.188 & 0.425749 \tabularnewline
40 & -0.006641 & -0.0514 & 0.479571 \tabularnewline
41 & -0.03394 & -0.2629 & 0.396764 \tabularnewline
42 & -0.038745 & -0.3001 & 0.382562 \tabularnewline
43 & -0.054645 & -0.4233 & 0.336803 \tabularnewline
44 & -0.035028 & -0.2713 & 0.393536 \tabularnewline
45 & 0.014587 & 0.113 & 0.455207 \tabularnewline
46 & -0.014951 & -0.1158 & 0.454096 \tabularnewline
47 & 0.005442 & 0.0422 & 0.483259 \tabularnewline
48 & 0.007814 & 0.0605 & 0.475968 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145461&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]0.938127[/C][C]7.2667[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.027424[/C][C]-0.2124[/C][C]0.416248[/C][/ROW]
[ROW][C]3[/C][C]-0.00624[/C][C]-0.0483[/C][C]0.480806[/C][/ROW]
[ROW][C]4[/C][C]-0.029125[/C][C]-0.2256[/C][C]0.411139[/C][/ROW]
[ROW][C]5[/C][C]-0.026148[/C][C]-0.2025[/C][C]0.420088[/C][/ROW]
[ROW][C]6[/C][C]-0.04647[/C][C]-0.36[/C][C]0.360073[/C][/ROW]
[ROW][C]7[/C][C]-0.017103[/C][C]-0.1325[/C][C]0.447523[/C][/ROW]
[ROW][C]8[/C][C]-0.056093[/C][C]-0.4345[/C][C]0.332745[/C][/ROW]
[ROW][C]9[/C][C]-0.051909[/C][C]-0.4021[/C][C]0.344526[/C][/ROW]
[ROW][C]10[/C][C]-0.043904[/C][C]-0.3401[/C][C]0.367491[/C][/ROW]
[ROW][C]11[/C][C]-0.014445[/C][C]-0.1119[/C][C]0.455642[/C][/ROW]
[ROW][C]12[/C][C]0.09925[/C][C]0.7688[/C][C]0.222518[/C][/ROW]
[ROW][C]13[/C][C]-0.051555[/C][C]-0.3993[/C][C]0.345528[/C][/ROW]
[ROW][C]14[/C][C]-0.009731[/C][C]-0.0754[/C][C]0.470083[/C][/ROW]
[ROW][C]15[/C][C]-0.025468[/C][C]-0.1973[/C][C]0.422141[/C][/ROW]
[ROW][C]16[/C][C]-0.014711[/C][C]-0.114[/C][C]0.454828[/C][/ROW]
[ROW][C]17[/C][C]0.036692[/C][C]0.2842[/C][C]0.388611[/C][/ROW]
[ROW][C]18[/C][C]-0.011605[/C][C]-0.0899[/C][C]0.464337[/C][/ROW]
[ROW][C]19[/C][C]-0.044469[/C][C]-0.3445[/C][C]0.365854[/C][/ROW]
[ROW][C]20[/C][C]-0.036883[/C][C]-0.2857[/C][C]0.388048[/C][/ROW]
[ROW][C]21[/C][C]-0.012857[/C][C]-0.0996[/C][C]0.4605[/C][/ROW]
[ROW][C]22[/C][C]-4.4e-05[/C][C]-3e-04[/C][C]0.499864[/C][/ROW]
[ROW][C]23[/C][C]0.064635[/C][C]0.5007[/C][C]0.309221[/C][/ROW]
[ROW][C]24[/C][C]-0.033258[/C][C]-0.2576[/C][C]0.398792[/C][/ROW]
[ROW][C]25[/C][C]-0.030534[/C][C]-0.2365[/C][C]0.40692[/C][/ROW]
[ROW][C]26[/C][C]-0.003733[/C][C]-0.0289[/C][C]0.488513[/C][/ROW]
[ROW][C]27[/C][C]0.004737[/C][C]0.0367[/C][C]0.485425[/C][/ROW]
[ROW][C]28[/C][C]-0.073314[/C][C]-0.5679[/C][C]0.286115[/C][/ROW]
[ROW][C]29[/C][C]-0.018141[/C][C]-0.1405[/C][C]0.444359[/C][/ROW]
[ROW][C]30[/C][C]-0.078435[/C][C]-0.6076[/C][C]0.272888[/C][/ROW]
[ROW][C]31[/C][C]-0.01364[/C][C]-0.1057[/C][C]0.458104[/C][/ROW]
[ROW][C]32[/C][C]-0.057992[/C][C]-0.4492[/C][C]0.327452[/C][/ROW]
[ROW][C]33[/C][C]-0.017973[/C][C]-0.1392[/C][C]0.444871[/C][/ROW]
[ROW][C]34[/C][C]-0.075541[/C][C]-0.5851[/C][C]0.280324[/C][/ROW]
[ROW][C]35[/C][C]-0.027292[/C][C]-0.2114[/C][C]0.416645[/C][/ROW]
[ROW][C]36[/C][C]-0.0061[/C][C]-0.0473[/C][C]0.481235[/C][/ROW]
[ROW][C]37[/C][C]-0.028261[/C][C]-0.2189[/C][C]0.413732[/C][/ROW]
[ROW][C]38[/C][C]-0.03179[/C][C]-0.2462[/C][C]0.403167[/C][/ROW]
[ROW][C]39[/C][C]0.024273[/C][C]0.188[/C][C]0.425749[/C][/ROW]
[ROW][C]40[/C][C]-0.006641[/C][C]-0.0514[/C][C]0.479571[/C][/ROW]
[ROW][C]41[/C][C]-0.03394[/C][C]-0.2629[/C][C]0.396764[/C][/ROW]
[ROW][C]42[/C][C]-0.038745[/C][C]-0.3001[/C][C]0.382562[/C][/ROW]
[ROW][C]43[/C][C]-0.054645[/C][C]-0.4233[/C][C]0.336803[/C][/ROW]
[ROW][C]44[/C][C]-0.035028[/C][C]-0.2713[/C][C]0.393536[/C][/ROW]
[ROW][C]45[/C][C]0.014587[/C][C]0.113[/C][C]0.455207[/C][/ROW]
[ROW][C]46[/C][C]-0.014951[/C][C]-0.1158[/C][C]0.454096[/C][/ROW]
[ROW][C]47[/C][C]0.005442[/C][C]0.0422[/C][C]0.483259[/C][/ROW]
[ROW][C]48[/C][C]0.007814[/C][C]0.0605[/C][C]0.475968[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145461&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145461&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
10.9381277.26670
2-0.027424-0.21240.416248
3-0.00624-0.04830.480806
4-0.029125-0.22560.411139
5-0.026148-0.20250.420088
6-0.04647-0.360.360073
7-0.017103-0.13250.447523
8-0.056093-0.43450.332745
9-0.051909-0.40210.344526
10-0.043904-0.34010.367491
11-0.014445-0.11190.455642
120.099250.76880.222518
13-0.051555-0.39930.345528
14-0.009731-0.07540.470083
15-0.025468-0.19730.422141
16-0.014711-0.1140.454828
170.0366920.28420.388611
18-0.011605-0.08990.464337
19-0.044469-0.34450.365854
20-0.036883-0.28570.388048
21-0.012857-0.09960.4605
22-4.4e-05-3e-040.499864
230.0646350.50070.309221
24-0.033258-0.25760.398792
25-0.030534-0.23650.40692
26-0.003733-0.02890.488513
270.0047370.03670.485425
28-0.073314-0.56790.286115
29-0.018141-0.14050.444359
30-0.078435-0.60760.272888
31-0.01364-0.10570.458104
32-0.057992-0.44920.327452
33-0.017973-0.13920.444871
34-0.075541-0.58510.280324
35-0.027292-0.21140.416645
36-0.0061-0.04730.481235
37-0.028261-0.21890.413732
38-0.03179-0.24620.403167
390.0242730.1880.425749
40-0.006641-0.05140.479571
41-0.03394-0.26290.396764
42-0.038745-0.30010.382562
43-0.054645-0.42330.336803
44-0.035028-0.27130.393536
450.0145870.1130.455207
46-0.014951-0.11580.454096
470.0054420.04220.483259
480.0078140.06050.475968



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):
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')