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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 17 May 2009 04:31:12 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/17/t1242556335tus6snpo0u8baj4.htm/, Retrieved Fri, 03 May 2024 17:26:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40191, Retrieved Fri, 03 May 2024 17:26:06 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact199
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie ju...] [2009-05-17 10:31:12] [822aa141fddc67f18188afbe1dd38d3f] [Current]
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Dataseries X:
20,73
20,73
20,74
20,74
20,75
20,75
20,77
20,78
20,78
20,8
20,84
20,85
20,86
20,86
20,86
20,86
20,9
20,92
20,95
20,95
20,95
20,96
21,1
21,18
21,19
21,19
21,19
21,19
21,19
21,21
21,22
21,22
21,22
21,23
21,41
21,42
21,43
21,44
21,44
21,44
21,48
21,53
21,54
21,54
21,54
21,54
21,54
21,54
21,54
21,54
21,54
21,54
21,57
21,6
21,61
21,6
21,6
21,71
21,75
21,84
21,85
21,92
21,92
21,93
22
22
21,99
22,01
22,01
22,06
22,03
22,05
22,05
22,06
22,06
22,13
22,06
22,25
22,28
22,18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40191&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40191&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40191&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9641278.62340
20.9228238.2540
30.8822367.8910
40.8488657.59250
50.8116747.25980
60.7762486.9430
70.7395466.61470
80.7023976.28240
90.6639515.93860
100.6269675.60780
110.5894315.2721e-06
120.5528574.94492e-06
130.5142994.68e-06
140.4752024.25032.9e-05
150.4346453.88760.000104
160.3943423.52710.00035
170.3566443.18990.001016
180.3190722.85390.002749
190.2800072.50450.007148
200.2426712.17050.016466
210.2043381.82770.035665
220.1701191.52160.066027
230.1436481.28480.101281
240.1234221.10390.136468
250.1018960.91140.182415
260.0781920.69940.243175
270.0547510.48970.312839
280.0317250.28380.388664
290.0093910.0840.466636
30-0.012647-0.11310.45511
31-0.035779-0.320.374895
32-0.059565-0.53280.297837
33-0.083645-0.74810.228283
34-0.107642-0.96280.169279
35-0.125225-1.120.133023
36-0.144385-1.29140.100139
37-0.164257-1.46920.072856
38-0.185346-1.65780.050638
39-0.206355-1.84570.034318
40-0.225821-2.01980.023376
41-0.242382-2.16790.016568
42-0.258625-2.31320.01164
43-0.274743-2.45740.008079
44-0.292812-2.6190.005273
45-0.310988-2.78160.003372
46-0.328158-2.93510.002175
47-0.33777-3.02110.00169
48-0.34773-3.11020.001295

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.964127 & 8.6234 & 0 \tabularnewline
2 & 0.922823 & 8.254 & 0 \tabularnewline
3 & 0.882236 & 7.891 & 0 \tabularnewline
4 & 0.848865 & 7.5925 & 0 \tabularnewline
5 & 0.811674 & 7.2598 & 0 \tabularnewline
6 & 0.776248 & 6.943 & 0 \tabularnewline
7 & 0.739546 & 6.6147 & 0 \tabularnewline
8 & 0.702397 & 6.2824 & 0 \tabularnewline
9 & 0.663951 & 5.9386 & 0 \tabularnewline
10 & 0.626967 & 5.6078 & 0 \tabularnewline
11 & 0.589431 & 5.272 & 1e-06 \tabularnewline
12 & 0.552857 & 4.9449 & 2e-06 \tabularnewline
13 & 0.514299 & 4.6 & 8e-06 \tabularnewline
14 & 0.475202 & 4.2503 & 2.9e-05 \tabularnewline
15 & 0.434645 & 3.8876 & 0.000104 \tabularnewline
16 & 0.394342 & 3.5271 & 0.00035 \tabularnewline
17 & 0.356644 & 3.1899 & 0.001016 \tabularnewline
18 & 0.319072 & 2.8539 & 0.002749 \tabularnewline
19 & 0.280007 & 2.5045 & 0.007148 \tabularnewline
20 & 0.242671 & 2.1705 & 0.016466 \tabularnewline
21 & 0.204338 & 1.8277 & 0.035665 \tabularnewline
22 & 0.170119 & 1.5216 & 0.066027 \tabularnewline
23 & 0.143648 & 1.2848 & 0.101281 \tabularnewline
24 & 0.123422 & 1.1039 & 0.136468 \tabularnewline
25 & 0.101896 & 0.9114 & 0.182415 \tabularnewline
26 & 0.078192 & 0.6994 & 0.243175 \tabularnewline
27 & 0.054751 & 0.4897 & 0.312839 \tabularnewline
28 & 0.031725 & 0.2838 & 0.388664 \tabularnewline
29 & 0.009391 & 0.084 & 0.466636 \tabularnewline
30 & -0.012647 & -0.1131 & 0.45511 \tabularnewline
31 & -0.035779 & -0.32 & 0.374895 \tabularnewline
32 & -0.059565 & -0.5328 & 0.297837 \tabularnewline
33 & -0.083645 & -0.7481 & 0.228283 \tabularnewline
34 & -0.107642 & -0.9628 & 0.169279 \tabularnewline
35 & -0.125225 & -1.12 & 0.133023 \tabularnewline
36 & -0.144385 & -1.2914 & 0.100139 \tabularnewline
37 & -0.164257 & -1.4692 & 0.072856 \tabularnewline
38 & -0.185346 & -1.6578 & 0.050638 \tabularnewline
39 & -0.206355 & -1.8457 & 0.034318 \tabularnewline
40 & -0.225821 & -2.0198 & 0.023376 \tabularnewline
41 & -0.242382 & -2.1679 & 0.016568 \tabularnewline
42 & -0.258625 & -2.3132 & 0.01164 \tabularnewline
43 & -0.274743 & -2.4574 & 0.008079 \tabularnewline
44 & -0.292812 & -2.619 & 0.005273 \tabularnewline
45 & -0.310988 & -2.7816 & 0.003372 \tabularnewline
46 & -0.328158 & -2.9351 & 0.002175 \tabularnewline
47 & -0.33777 & -3.0211 & 0.00169 \tabularnewline
48 & -0.34773 & -3.1102 & 0.001295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40191&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]0.964127[/C][C]8.6234[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.922823[/C][C]8.254[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.882236[/C][C]7.891[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.848865[/C][C]7.5925[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.811674[/C][C]7.2598[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.776248[/C][C]6.943[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.739546[/C][C]6.6147[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.702397[/C][C]6.2824[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.663951[/C][C]5.9386[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.626967[/C][C]5.6078[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.589431[/C][C]5.272[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.552857[/C][C]4.9449[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.514299[/C][C]4.6[/C][C]8e-06[/C][/ROW]
[ROW][C]14[/C][C]0.475202[/C][C]4.2503[/C][C]2.9e-05[/C][/ROW]
[ROW][C]15[/C][C]0.434645[/C][C]3.8876[/C][C]0.000104[/C][/ROW]
[ROW][C]16[/C][C]0.394342[/C][C]3.5271[/C][C]0.00035[/C][/ROW]
[ROW][C]17[/C][C]0.356644[/C][C]3.1899[/C][C]0.001016[/C][/ROW]
[ROW][C]18[/C][C]0.319072[/C][C]2.8539[/C][C]0.002749[/C][/ROW]
[ROW][C]19[/C][C]0.280007[/C][C]2.5045[/C][C]0.007148[/C][/ROW]
[ROW][C]20[/C][C]0.242671[/C][C]2.1705[/C][C]0.016466[/C][/ROW]
[ROW][C]21[/C][C]0.204338[/C][C]1.8277[/C][C]0.035665[/C][/ROW]
[ROW][C]22[/C][C]0.170119[/C][C]1.5216[/C][C]0.066027[/C][/ROW]
[ROW][C]23[/C][C]0.143648[/C][C]1.2848[/C][C]0.101281[/C][/ROW]
[ROW][C]24[/C][C]0.123422[/C][C]1.1039[/C][C]0.136468[/C][/ROW]
[ROW][C]25[/C][C]0.101896[/C][C]0.9114[/C][C]0.182415[/C][/ROW]
[ROW][C]26[/C][C]0.078192[/C][C]0.6994[/C][C]0.243175[/C][/ROW]
[ROW][C]27[/C][C]0.054751[/C][C]0.4897[/C][C]0.312839[/C][/ROW]
[ROW][C]28[/C][C]0.031725[/C][C]0.2838[/C][C]0.388664[/C][/ROW]
[ROW][C]29[/C][C]0.009391[/C][C]0.084[/C][C]0.466636[/C][/ROW]
[ROW][C]30[/C][C]-0.012647[/C][C]-0.1131[/C][C]0.45511[/C][/ROW]
[ROW][C]31[/C][C]-0.035779[/C][C]-0.32[/C][C]0.374895[/C][/ROW]
[ROW][C]32[/C][C]-0.059565[/C][C]-0.5328[/C][C]0.297837[/C][/ROW]
[ROW][C]33[/C][C]-0.083645[/C][C]-0.7481[/C][C]0.228283[/C][/ROW]
[ROW][C]34[/C][C]-0.107642[/C][C]-0.9628[/C][C]0.169279[/C][/ROW]
[ROW][C]35[/C][C]-0.125225[/C][C]-1.12[/C][C]0.133023[/C][/ROW]
[ROW][C]36[/C][C]-0.144385[/C][C]-1.2914[/C][C]0.100139[/C][/ROW]
[ROW][C]37[/C][C]-0.164257[/C][C]-1.4692[/C][C]0.072856[/C][/ROW]
[ROW][C]38[/C][C]-0.185346[/C][C]-1.6578[/C][C]0.050638[/C][/ROW]
[ROW][C]39[/C][C]-0.206355[/C][C]-1.8457[/C][C]0.034318[/C][/ROW]
[ROW][C]40[/C][C]-0.225821[/C][C]-2.0198[/C][C]0.023376[/C][/ROW]
[ROW][C]41[/C][C]-0.242382[/C][C]-2.1679[/C][C]0.016568[/C][/ROW]
[ROW][C]42[/C][C]-0.258625[/C][C]-2.3132[/C][C]0.01164[/C][/ROW]
[ROW][C]43[/C][C]-0.274743[/C][C]-2.4574[/C][C]0.008079[/C][/ROW]
[ROW][C]44[/C][C]-0.292812[/C][C]-2.619[/C][C]0.005273[/C][/ROW]
[ROW][C]45[/C][C]-0.310988[/C][C]-2.7816[/C][C]0.003372[/C][/ROW]
[ROW][C]46[/C][C]-0.328158[/C][C]-2.9351[/C][C]0.002175[/C][/ROW]
[ROW][C]47[/C][C]-0.33777[/C][C]-3.0211[/C][C]0.00169[/C][/ROW]
[ROW][C]48[/C][C]-0.34773[/C][C]-3.1102[/C][C]0.001295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40191&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40191&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
10.9641278.62340
20.9228238.2540
30.8822367.8910
40.8488657.59250
50.8116747.25980
60.7762486.9430
70.7395466.61470
80.7023976.28240
90.6639515.93860
100.6269675.60780
110.5894315.2721e-06
120.5528574.94492e-06
130.5142994.68e-06
140.4752024.25032.9e-05
150.4346453.88760.000104
160.3943423.52710.00035
170.3566443.18990.001016
180.3190722.85390.002749
190.2800072.50450.007148
200.2426712.17050.016466
210.2043381.82770.035665
220.1701191.52160.066027
230.1436481.28480.101281
240.1234221.10390.136468
250.1018960.91140.182415
260.0781920.69940.243175
270.0547510.48970.312839
280.0317250.28380.388664
290.0093910.0840.466636
30-0.012647-0.11310.45511
31-0.035779-0.320.374895
32-0.059565-0.53280.297837
33-0.083645-0.74810.228283
34-0.107642-0.96280.169279
35-0.125225-1.120.133023
36-0.144385-1.29140.100139
37-0.164257-1.46920.072856
38-0.185346-1.65780.050638
39-0.206355-1.84570.034318
40-0.225821-2.01980.023376
41-0.242382-2.16790.016568
42-0.258625-2.31320.01164
43-0.274743-2.45740.008079
44-0.292812-2.6190.005273
45-0.310988-2.78160.003372
46-0.328158-2.93510.002175
47-0.33777-3.02110.00169
48-0.34773-3.11020.001295







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9641278.62340
2-0.09534-0.85270.198174
3-0.005572-0.04980.480189
40.0798470.71420.238599
5-0.088499-0.79160.215478
60.0165160.14770.441466
7-0.033956-0.30370.381069
8-0.037397-0.33450.369443
9-0.028698-0.25670.39904
10-0.006906-0.06180.475449
11-0.033474-0.29940.382704
12-0.010064-0.090.464251
13-0.049851-0.44590.328445
14-0.033378-0.29850.383033
15-0.041383-0.37010.356129
16-0.029774-0.26630.395343
170.0114420.10230.459372
18-0.037481-0.33520.369159
19-0.046444-0.41540.339477
200.0050950.04560.481882
21-0.053936-0.48240.315412
220.0306120.27380.392472
230.083160.74380.229587
240.0392520.35110.363225
25-0.03369-0.30130.38197
26-0.035066-0.31360.377305
27-0.011179-0.10.460302
28-0.0271-0.24240.404549
29-0.01596-0.14270.443424
30-0.02538-0.2270.410498
31-0.045782-0.40950.341637
32-0.033325-0.29810.383213
33-0.027125-0.24260.404461
34-0.034379-0.30750.379634
350.0609250.54490.29366
36-0.068713-0.61460.270284
37-0.039903-0.35690.361052
38-0.025774-0.23050.409133
39-0.038443-0.34380.365932
400.0022290.01990.49207
410.002220.01990.492105
42-0.033054-0.29560.384133
43-0.017909-0.16020.436569
44-0.045545-0.40740.342415
45-0.016496-0.14750.441535
460.0053680.0480.480912
470.0654580.58550.279938
48-0.050492-0.45160.326384

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.964127 & 8.6234 & 0 \tabularnewline
2 & -0.09534 & -0.8527 & 0.198174 \tabularnewline
3 & -0.005572 & -0.0498 & 0.480189 \tabularnewline
4 & 0.079847 & 0.7142 & 0.238599 \tabularnewline
5 & -0.088499 & -0.7916 & 0.215478 \tabularnewline
6 & 0.016516 & 0.1477 & 0.441466 \tabularnewline
7 & -0.033956 & -0.3037 & 0.381069 \tabularnewline
8 & -0.037397 & -0.3345 & 0.369443 \tabularnewline
9 & -0.028698 & -0.2567 & 0.39904 \tabularnewline
10 & -0.006906 & -0.0618 & 0.475449 \tabularnewline
11 & -0.033474 & -0.2994 & 0.382704 \tabularnewline
12 & -0.010064 & -0.09 & 0.464251 \tabularnewline
13 & -0.049851 & -0.4459 & 0.328445 \tabularnewline
14 & -0.033378 & -0.2985 & 0.383033 \tabularnewline
15 & -0.041383 & -0.3701 & 0.356129 \tabularnewline
16 & -0.029774 & -0.2663 & 0.395343 \tabularnewline
17 & 0.011442 & 0.1023 & 0.459372 \tabularnewline
18 & -0.037481 & -0.3352 & 0.369159 \tabularnewline
19 & -0.046444 & -0.4154 & 0.339477 \tabularnewline
20 & 0.005095 & 0.0456 & 0.481882 \tabularnewline
21 & -0.053936 & -0.4824 & 0.315412 \tabularnewline
22 & 0.030612 & 0.2738 & 0.392472 \tabularnewline
23 & 0.08316 & 0.7438 & 0.229587 \tabularnewline
24 & 0.039252 & 0.3511 & 0.363225 \tabularnewline
25 & -0.03369 & -0.3013 & 0.38197 \tabularnewline
26 & -0.035066 & -0.3136 & 0.377305 \tabularnewline
27 & -0.011179 & -0.1 & 0.460302 \tabularnewline
28 & -0.0271 & -0.2424 & 0.404549 \tabularnewline
29 & -0.01596 & -0.1427 & 0.443424 \tabularnewline
30 & -0.02538 & -0.227 & 0.410498 \tabularnewline
31 & -0.045782 & -0.4095 & 0.341637 \tabularnewline
32 & -0.033325 & -0.2981 & 0.383213 \tabularnewline
33 & -0.027125 & -0.2426 & 0.404461 \tabularnewline
34 & -0.034379 & -0.3075 & 0.379634 \tabularnewline
35 & 0.060925 & 0.5449 & 0.29366 \tabularnewline
36 & -0.068713 & -0.6146 & 0.270284 \tabularnewline
37 & -0.039903 & -0.3569 & 0.361052 \tabularnewline
38 & -0.025774 & -0.2305 & 0.409133 \tabularnewline
39 & -0.038443 & -0.3438 & 0.365932 \tabularnewline
40 & 0.002229 & 0.0199 & 0.49207 \tabularnewline
41 & 0.00222 & 0.0199 & 0.492105 \tabularnewline
42 & -0.033054 & -0.2956 & 0.384133 \tabularnewline
43 & -0.017909 & -0.1602 & 0.436569 \tabularnewline
44 & -0.045545 & -0.4074 & 0.342415 \tabularnewline
45 & -0.016496 & -0.1475 & 0.441535 \tabularnewline
46 & 0.005368 & 0.048 & 0.480912 \tabularnewline
47 & 0.065458 & 0.5855 & 0.279938 \tabularnewline
48 & -0.050492 & -0.4516 & 0.326384 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40191&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]0.964127[/C][C]8.6234[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.09534[/C][C]-0.8527[/C][C]0.198174[/C][/ROW]
[ROW][C]3[/C][C]-0.005572[/C][C]-0.0498[/C][C]0.480189[/C][/ROW]
[ROW][C]4[/C][C]0.079847[/C][C]0.7142[/C][C]0.238599[/C][/ROW]
[ROW][C]5[/C][C]-0.088499[/C][C]-0.7916[/C][C]0.215478[/C][/ROW]
[ROW][C]6[/C][C]0.016516[/C][C]0.1477[/C][C]0.441466[/C][/ROW]
[ROW][C]7[/C][C]-0.033956[/C][C]-0.3037[/C][C]0.381069[/C][/ROW]
[ROW][C]8[/C][C]-0.037397[/C][C]-0.3345[/C][C]0.369443[/C][/ROW]
[ROW][C]9[/C][C]-0.028698[/C][C]-0.2567[/C][C]0.39904[/C][/ROW]
[ROW][C]10[/C][C]-0.006906[/C][C]-0.0618[/C][C]0.475449[/C][/ROW]
[ROW][C]11[/C][C]-0.033474[/C][C]-0.2994[/C][C]0.382704[/C][/ROW]
[ROW][C]12[/C][C]-0.010064[/C][C]-0.09[/C][C]0.464251[/C][/ROW]
[ROW][C]13[/C][C]-0.049851[/C][C]-0.4459[/C][C]0.328445[/C][/ROW]
[ROW][C]14[/C][C]-0.033378[/C][C]-0.2985[/C][C]0.383033[/C][/ROW]
[ROW][C]15[/C][C]-0.041383[/C][C]-0.3701[/C][C]0.356129[/C][/ROW]
[ROW][C]16[/C][C]-0.029774[/C][C]-0.2663[/C][C]0.395343[/C][/ROW]
[ROW][C]17[/C][C]0.011442[/C][C]0.1023[/C][C]0.459372[/C][/ROW]
[ROW][C]18[/C][C]-0.037481[/C][C]-0.3352[/C][C]0.369159[/C][/ROW]
[ROW][C]19[/C][C]-0.046444[/C][C]-0.4154[/C][C]0.339477[/C][/ROW]
[ROW][C]20[/C][C]0.005095[/C][C]0.0456[/C][C]0.481882[/C][/ROW]
[ROW][C]21[/C][C]-0.053936[/C][C]-0.4824[/C][C]0.315412[/C][/ROW]
[ROW][C]22[/C][C]0.030612[/C][C]0.2738[/C][C]0.392472[/C][/ROW]
[ROW][C]23[/C][C]0.08316[/C][C]0.7438[/C][C]0.229587[/C][/ROW]
[ROW][C]24[/C][C]0.039252[/C][C]0.3511[/C][C]0.363225[/C][/ROW]
[ROW][C]25[/C][C]-0.03369[/C][C]-0.3013[/C][C]0.38197[/C][/ROW]
[ROW][C]26[/C][C]-0.035066[/C][C]-0.3136[/C][C]0.377305[/C][/ROW]
[ROW][C]27[/C][C]-0.011179[/C][C]-0.1[/C][C]0.460302[/C][/ROW]
[ROW][C]28[/C][C]-0.0271[/C][C]-0.2424[/C][C]0.404549[/C][/ROW]
[ROW][C]29[/C][C]-0.01596[/C][C]-0.1427[/C][C]0.443424[/C][/ROW]
[ROW][C]30[/C][C]-0.02538[/C][C]-0.227[/C][C]0.410498[/C][/ROW]
[ROW][C]31[/C][C]-0.045782[/C][C]-0.4095[/C][C]0.341637[/C][/ROW]
[ROW][C]32[/C][C]-0.033325[/C][C]-0.2981[/C][C]0.383213[/C][/ROW]
[ROW][C]33[/C][C]-0.027125[/C][C]-0.2426[/C][C]0.404461[/C][/ROW]
[ROW][C]34[/C][C]-0.034379[/C][C]-0.3075[/C][C]0.379634[/C][/ROW]
[ROW][C]35[/C][C]0.060925[/C][C]0.5449[/C][C]0.29366[/C][/ROW]
[ROW][C]36[/C][C]-0.068713[/C][C]-0.6146[/C][C]0.270284[/C][/ROW]
[ROW][C]37[/C][C]-0.039903[/C][C]-0.3569[/C][C]0.361052[/C][/ROW]
[ROW][C]38[/C][C]-0.025774[/C][C]-0.2305[/C][C]0.409133[/C][/ROW]
[ROW][C]39[/C][C]-0.038443[/C][C]-0.3438[/C][C]0.365932[/C][/ROW]
[ROW][C]40[/C][C]0.002229[/C][C]0.0199[/C][C]0.49207[/C][/ROW]
[ROW][C]41[/C][C]0.00222[/C][C]0.0199[/C][C]0.492105[/C][/ROW]
[ROW][C]42[/C][C]-0.033054[/C][C]-0.2956[/C][C]0.384133[/C][/ROW]
[ROW][C]43[/C][C]-0.017909[/C][C]-0.1602[/C][C]0.436569[/C][/ROW]
[ROW][C]44[/C][C]-0.045545[/C][C]-0.4074[/C][C]0.342415[/C][/ROW]
[ROW][C]45[/C][C]-0.016496[/C][C]-0.1475[/C][C]0.441535[/C][/ROW]
[ROW][C]46[/C][C]0.005368[/C][C]0.048[/C][C]0.480912[/C][/ROW]
[ROW][C]47[/C][C]0.065458[/C][C]0.5855[/C][C]0.279938[/C][/ROW]
[ROW][C]48[/C][C]-0.050492[/C][C]-0.4516[/C][C]0.326384[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40191&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40191&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
10.9641278.62340
2-0.09534-0.85270.198174
3-0.005572-0.04980.480189
40.0798470.71420.238599
5-0.088499-0.79160.215478
60.0165160.14770.441466
7-0.033956-0.30370.381069
8-0.037397-0.33450.369443
9-0.028698-0.25670.39904
10-0.006906-0.06180.475449
11-0.033474-0.29940.382704
12-0.010064-0.090.464251
13-0.049851-0.44590.328445
14-0.033378-0.29850.383033
15-0.041383-0.37010.356129
16-0.029774-0.26630.395343
170.0114420.10230.459372
18-0.037481-0.33520.369159
19-0.046444-0.41540.339477
200.0050950.04560.481882
21-0.053936-0.48240.315412
220.0306120.27380.392472
230.083160.74380.229587
240.0392520.35110.363225
25-0.03369-0.30130.38197
26-0.035066-0.31360.377305
27-0.011179-0.10.460302
28-0.0271-0.24240.404549
29-0.01596-0.14270.443424
30-0.02538-0.2270.410498
31-0.045782-0.40950.341637
32-0.033325-0.29810.383213
33-0.027125-0.24260.404461
34-0.034379-0.30750.379634
350.0609250.54490.29366
36-0.068713-0.61460.270284
37-0.039903-0.35690.361052
38-0.025774-0.23050.409133
39-0.038443-0.34380.365932
400.0022290.01990.49207
410.002220.01990.492105
42-0.033054-0.29560.384133
43-0.017909-0.16020.436569
44-0.045545-0.40740.342415
45-0.016496-0.14750.441535
460.0053680.0480.480912
470.0654580.58550.279938
48-0.050492-0.45160.326384



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