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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 13 May 2009 03:26:55 -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/13/t1242206887dbh253cnesmb168.htm/, Retrieved Thu, 09 May 2024 01:09:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39817, Retrieved Thu, 09 May 2024 01:09:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [opgave 6 bis oefe...] [2009-05-13 09:26:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P     [(Partial) Autocorrelation Function] [Opgave 6 bis oefe...] [2009-05-13 09:30:07] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
112
118
129
99
116
168
118
129
205
147
150
267
126
129
124
97
102
127
222
214
118
141
154
226
89
77
82
97
127
121
117
117
106
112
134
169
75
108
115
85
101
108
109
124
105
95
135
164
88
85
112
87
91
87
87
142
95
108
139
159
61
82
124
93
108
75
87
103
90
108
123
129
57
65
67
71
76
67
110
118
99
85
107
141
58
65
70
86
93
74
87
73
101
100
96
157
63
115
70
66
67
83
79
77
102
116
100
135
71
60
89
74
73
91
86
74
87
87
109
137
43
69
73
77
69
76
78
70
83
65
110
132
54
55
66
65
60
65
96
55
71
63
74
106
34
47
56
53
53
55
67
52
46
51
58
91
33
40
46
45
41
55
57
54
46
52
48
77
30
35
42
48
44
45
0
0
46
51
63
84
30
39
45
52
28
40
62




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=39817&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=39817&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39817&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
10.6094548.33420
20.4931556.74380
30.5370227.34370
40.4945826.76330
50.4784896.54320
60.4316215.90230
70.4547526.21860
80.4664086.3780
90.4830366.60540
100.4664236.37820
110.4917876.72510
120.6589299.01070
130.4168215.69990
140.3632034.96671e-06
150.3812085.21290
160.3552394.85781e-06
170.3401334.65133e-06
180.2922723.99684.6e-05
190.2760423.77480.000107
200.2776343.79669.9e-05
210.2952314.03723.9e-05
220.2564523.50690.000284
230.3090664.22641.9e-05
240.478396.54190
250.2749873.76040.000113
260.2400863.28310.000613
270.2677233.66110.000163
280.2389663.26780.000645
290.2133112.9170.001984
300.1661162.27160.012125
310.1567272.14320.016694
320.1738452.37730.009225
330.2035612.78360.002964
340.1580492.16130.015972
350.2175012.97430.001662
360.3640184.97791e-06
370.1779262.43310.007955
380.1428951.95410.026093
390.1719642.35160.009868
400.1581192.16220.015935
410.1198881.63940.051401
420.0696620.95260.171007
430.0749841.02540.153251
440.0787561.0770.141441
450.1087281.48680.069372
460.0922591.26160.104327
470.1257941.72020.043525
480.2583643.53310.000259

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.609454 & 8.3342 & 0 \tabularnewline
2 & 0.493155 & 6.7438 & 0 \tabularnewline
3 & 0.537022 & 7.3437 & 0 \tabularnewline
4 & 0.494582 & 6.7633 & 0 \tabularnewline
5 & 0.478489 & 6.5432 & 0 \tabularnewline
6 & 0.431621 & 5.9023 & 0 \tabularnewline
7 & 0.454752 & 6.2186 & 0 \tabularnewline
8 & 0.466408 & 6.378 & 0 \tabularnewline
9 & 0.483036 & 6.6054 & 0 \tabularnewline
10 & 0.466423 & 6.3782 & 0 \tabularnewline
11 & 0.491787 & 6.7251 & 0 \tabularnewline
12 & 0.658929 & 9.0107 & 0 \tabularnewline
13 & 0.416821 & 5.6999 & 0 \tabularnewline
14 & 0.363203 & 4.9667 & 1e-06 \tabularnewline
15 & 0.381208 & 5.2129 & 0 \tabularnewline
16 & 0.355239 & 4.8578 & 1e-06 \tabularnewline
17 & 0.340133 & 4.6513 & 3e-06 \tabularnewline
18 & 0.292272 & 3.9968 & 4.6e-05 \tabularnewline
19 & 0.276042 & 3.7748 & 0.000107 \tabularnewline
20 & 0.277634 & 3.7966 & 9.9e-05 \tabularnewline
21 & 0.295231 & 4.0372 & 3.9e-05 \tabularnewline
22 & 0.256452 & 3.5069 & 0.000284 \tabularnewline
23 & 0.309066 & 4.2264 & 1.9e-05 \tabularnewline
24 & 0.47839 & 6.5419 & 0 \tabularnewline
25 & 0.274987 & 3.7604 & 0.000113 \tabularnewline
26 & 0.240086 & 3.2831 & 0.000613 \tabularnewline
27 & 0.267723 & 3.6611 & 0.000163 \tabularnewline
28 & 0.238966 & 3.2678 & 0.000645 \tabularnewline
29 & 0.213311 & 2.917 & 0.001984 \tabularnewline
30 & 0.166116 & 2.2716 & 0.012125 \tabularnewline
31 & 0.156727 & 2.1432 & 0.016694 \tabularnewline
32 & 0.173845 & 2.3773 & 0.009225 \tabularnewline
33 & 0.203561 & 2.7836 & 0.002964 \tabularnewline
34 & 0.158049 & 2.1613 & 0.015972 \tabularnewline
35 & 0.217501 & 2.9743 & 0.001662 \tabularnewline
36 & 0.364018 & 4.9779 & 1e-06 \tabularnewline
37 & 0.177926 & 2.4331 & 0.007955 \tabularnewline
38 & 0.142895 & 1.9541 & 0.026093 \tabularnewline
39 & 0.171964 & 2.3516 & 0.009868 \tabularnewline
40 & 0.158119 & 2.1622 & 0.015935 \tabularnewline
41 & 0.119888 & 1.6394 & 0.051401 \tabularnewline
42 & 0.069662 & 0.9526 & 0.171007 \tabularnewline
43 & 0.074984 & 1.0254 & 0.153251 \tabularnewline
44 & 0.078756 & 1.077 & 0.141441 \tabularnewline
45 & 0.108728 & 1.4868 & 0.069372 \tabularnewline
46 & 0.092259 & 1.2616 & 0.104327 \tabularnewline
47 & 0.125794 & 1.7202 & 0.043525 \tabularnewline
48 & 0.258364 & 3.5331 & 0.000259 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39817&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]0.609454[/C][C]8.3342[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.493155[/C][C]6.7438[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.537022[/C][C]7.3437[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.494582[/C][C]6.7633[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.478489[/C][C]6.5432[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.431621[/C][C]5.9023[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.454752[/C][C]6.2186[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.466408[/C][C]6.378[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.483036[/C][C]6.6054[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.466423[/C][C]6.3782[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.491787[/C][C]6.7251[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.658929[/C][C]9.0107[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.416821[/C][C]5.6999[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.363203[/C][C]4.9667[/C][C]1e-06[/C][/ROW]
[ROW][C]15[/C][C]0.381208[/C][C]5.2129[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0.355239[/C][C]4.8578[/C][C]1e-06[/C][/ROW]
[ROW][C]17[/C][C]0.340133[/C][C]4.6513[/C][C]3e-06[/C][/ROW]
[ROW][C]18[/C][C]0.292272[/C][C]3.9968[/C][C]4.6e-05[/C][/ROW]
[ROW][C]19[/C][C]0.276042[/C][C]3.7748[/C][C]0.000107[/C][/ROW]
[ROW][C]20[/C][C]0.277634[/C][C]3.7966[/C][C]9.9e-05[/C][/ROW]
[ROW][C]21[/C][C]0.295231[/C][C]4.0372[/C][C]3.9e-05[/C][/ROW]
[ROW][C]22[/C][C]0.256452[/C][C]3.5069[/C][C]0.000284[/C][/ROW]
[ROW][C]23[/C][C]0.309066[/C][C]4.2264[/C][C]1.9e-05[/C][/ROW]
[ROW][C]24[/C][C]0.47839[/C][C]6.5419[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.274987[/C][C]3.7604[/C][C]0.000113[/C][/ROW]
[ROW][C]26[/C][C]0.240086[/C][C]3.2831[/C][C]0.000613[/C][/ROW]
[ROW][C]27[/C][C]0.267723[/C][C]3.6611[/C][C]0.000163[/C][/ROW]
[ROW][C]28[/C][C]0.238966[/C][C]3.2678[/C][C]0.000645[/C][/ROW]
[ROW][C]29[/C][C]0.213311[/C][C]2.917[/C][C]0.001984[/C][/ROW]
[ROW][C]30[/C][C]0.166116[/C][C]2.2716[/C][C]0.012125[/C][/ROW]
[ROW][C]31[/C][C]0.156727[/C][C]2.1432[/C][C]0.016694[/C][/ROW]
[ROW][C]32[/C][C]0.173845[/C][C]2.3773[/C][C]0.009225[/C][/ROW]
[ROW][C]33[/C][C]0.203561[/C][C]2.7836[/C][C]0.002964[/C][/ROW]
[ROW][C]34[/C][C]0.158049[/C][C]2.1613[/C][C]0.015972[/C][/ROW]
[ROW][C]35[/C][C]0.217501[/C][C]2.9743[/C][C]0.001662[/C][/ROW]
[ROW][C]36[/C][C]0.364018[/C][C]4.9779[/C][C]1e-06[/C][/ROW]
[ROW][C]37[/C][C]0.177926[/C][C]2.4331[/C][C]0.007955[/C][/ROW]
[ROW][C]38[/C][C]0.142895[/C][C]1.9541[/C][C]0.026093[/C][/ROW]
[ROW][C]39[/C][C]0.171964[/C][C]2.3516[/C][C]0.009868[/C][/ROW]
[ROW][C]40[/C][C]0.158119[/C][C]2.1622[/C][C]0.015935[/C][/ROW]
[ROW][C]41[/C][C]0.119888[/C][C]1.6394[/C][C]0.051401[/C][/ROW]
[ROW][C]42[/C][C]0.069662[/C][C]0.9526[/C][C]0.171007[/C][/ROW]
[ROW][C]43[/C][C]0.074984[/C][C]1.0254[/C][C]0.153251[/C][/ROW]
[ROW][C]44[/C][C]0.078756[/C][C]1.077[/C][C]0.141441[/C][/ROW]
[ROW][C]45[/C][C]0.108728[/C][C]1.4868[/C][C]0.069372[/C][/ROW]
[ROW][C]46[/C][C]0.092259[/C][C]1.2616[/C][C]0.104327[/C][/ROW]
[ROW][C]47[/C][C]0.125794[/C][C]1.7202[/C][C]0.043525[/C][/ROW]
[ROW][C]48[/C][C]0.258364[/C][C]3.5331[/C][C]0.000259[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39817&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39817&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
10.6094548.33420
20.4931556.74380
30.5370227.34370
40.4945826.76330
50.4784896.54320
60.4316215.90230
70.4547526.21860
80.4664086.3780
90.4830366.60540
100.4664236.37820
110.4917876.72510
120.6589299.01070
130.4168215.69990
140.3632034.96671e-06
150.3812085.21290
160.3552394.85781e-06
170.3401334.65133e-06
180.2922723.99684.6e-05
190.2760423.77480.000107
200.2776343.79669.9e-05
210.2952314.03723.9e-05
220.2564523.50690.000284
230.3090664.22641.9e-05
240.478396.54190
250.2749873.76040.000113
260.2400863.28310.000613
270.2677233.66110.000163
280.2389663.26780.000645
290.2133112.9170.001984
300.1661162.27160.012125
310.1567272.14320.016694
320.1738452.37730.009225
330.2035612.78360.002964
340.1580492.16130.015972
350.2175012.97430.001662
360.3640184.97791e-06
370.1779262.43310.007955
380.1428951.95410.026093
390.1719642.35160.009868
400.1581192.16220.015935
410.1198881.63940.051401
420.0696620.95260.171007
430.0749841.02540.153251
440.0787561.0770.141441
450.1087281.48680.069372
460.0922591.26160.104327
470.1257941.72020.043525
480.2583643.53310.000259







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6094548.33420
20.1936472.64810.004393
30.2919853.99284.7e-05
40.1054331.44180.075518
50.1258841.72140.043413
60.0092270.12620.449862
70.1247041.70530.044899
80.087121.19140.117513
90.1396631.90990.028841
100.0499360.68290.24777
110.1308261.7890.037615
120.3863855.28370
13-0.314534-4.30121.4e-05
14-0.033278-0.45510.324792
15-0.150773-2.06180.020306
16-0.001396-0.01910.492396
17-0.071286-0.97480.165453
18-0.032597-0.44580.328146
19-0.12763-1.74530.041286
20-0.054659-0.74740.227866
21-0.024915-0.34070.366851
22-0.088863-1.21520.112913
230.1449551.98220.024459
240.2565213.50790.000283
25-0.027225-0.37230.355045
260.0367480.50250.307947
270.0044710.06110.475656
28-0.007708-0.10540.458084
29-0.023806-0.32550.37257
30-0.007423-0.10150.459629
31-0.022785-0.31160.377852
320.0019640.02690.489302
330.0014740.02020.491968
34-0.104181-1.42470.077961
350.0352210.48160.315313
360.0840531.14940.125927
37-0.050751-0.6940.244269
38-0.03511-0.48010.315851
39-0.01037-0.14180.443693
400.0018830.02580.48974
41-0.066743-0.91270.181289
42-0.033893-0.46350.321781
430.0063230.08650.465592
44-0.032108-0.43910.330557
450.0240830.32930.371139
460.0587310.80310.211458
47-0.013731-0.18780.425631
480.1018681.3930.082634

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.609454 & 8.3342 & 0 \tabularnewline
2 & 0.193647 & 2.6481 & 0.004393 \tabularnewline
3 & 0.291985 & 3.9928 & 4.7e-05 \tabularnewline
4 & 0.105433 & 1.4418 & 0.075518 \tabularnewline
5 & 0.125884 & 1.7214 & 0.043413 \tabularnewline
6 & 0.009227 & 0.1262 & 0.449862 \tabularnewline
7 & 0.124704 & 1.7053 & 0.044899 \tabularnewline
8 & 0.08712 & 1.1914 & 0.117513 \tabularnewline
9 & 0.139663 & 1.9099 & 0.028841 \tabularnewline
10 & 0.049936 & 0.6829 & 0.24777 \tabularnewline
11 & 0.130826 & 1.789 & 0.037615 \tabularnewline
12 & 0.386385 & 5.2837 & 0 \tabularnewline
13 & -0.314534 & -4.3012 & 1.4e-05 \tabularnewline
14 & -0.033278 & -0.4551 & 0.324792 \tabularnewline
15 & -0.150773 & -2.0618 & 0.020306 \tabularnewline
16 & -0.001396 & -0.0191 & 0.492396 \tabularnewline
17 & -0.071286 & -0.9748 & 0.165453 \tabularnewline
18 & -0.032597 & -0.4458 & 0.328146 \tabularnewline
19 & -0.12763 & -1.7453 & 0.041286 \tabularnewline
20 & -0.054659 & -0.7474 & 0.227866 \tabularnewline
21 & -0.024915 & -0.3407 & 0.366851 \tabularnewline
22 & -0.088863 & -1.2152 & 0.112913 \tabularnewline
23 & 0.144955 & 1.9822 & 0.024459 \tabularnewline
24 & 0.256521 & 3.5079 & 0.000283 \tabularnewline
25 & -0.027225 & -0.3723 & 0.355045 \tabularnewline
26 & 0.036748 & 0.5025 & 0.307947 \tabularnewline
27 & 0.004471 & 0.0611 & 0.475656 \tabularnewline
28 & -0.007708 & -0.1054 & 0.458084 \tabularnewline
29 & -0.023806 & -0.3255 & 0.37257 \tabularnewline
30 & -0.007423 & -0.1015 & 0.459629 \tabularnewline
31 & -0.022785 & -0.3116 & 0.377852 \tabularnewline
32 & 0.001964 & 0.0269 & 0.489302 \tabularnewline
33 & 0.001474 & 0.0202 & 0.491968 \tabularnewline
34 & -0.104181 & -1.4247 & 0.077961 \tabularnewline
35 & 0.035221 & 0.4816 & 0.315313 \tabularnewline
36 & 0.084053 & 1.1494 & 0.125927 \tabularnewline
37 & -0.050751 & -0.694 & 0.244269 \tabularnewline
38 & -0.03511 & -0.4801 & 0.315851 \tabularnewline
39 & -0.01037 & -0.1418 & 0.443693 \tabularnewline
40 & 0.001883 & 0.0258 & 0.48974 \tabularnewline
41 & -0.066743 & -0.9127 & 0.181289 \tabularnewline
42 & -0.033893 & -0.4635 & 0.321781 \tabularnewline
43 & 0.006323 & 0.0865 & 0.465592 \tabularnewline
44 & -0.032108 & -0.4391 & 0.330557 \tabularnewline
45 & 0.024083 & 0.3293 & 0.371139 \tabularnewline
46 & 0.058731 & 0.8031 & 0.211458 \tabularnewline
47 & -0.013731 & -0.1878 & 0.425631 \tabularnewline
48 & 0.101868 & 1.393 & 0.082634 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39817&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]0.609454[/C][C]8.3342[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.193647[/C][C]2.6481[/C][C]0.004393[/C][/ROW]
[ROW][C]3[/C][C]0.291985[/C][C]3.9928[/C][C]4.7e-05[/C][/ROW]
[ROW][C]4[/C][C]0.105433[/C][C]1.4418[/C][C]0.075518[/C][/ROW]
[ROW][C]5[/C][C]0.125884[/C][C]1.7214[/C][C]0.043413[/C][/ROW]
[ROW][C]6[/C][C]0.009227[/C][C]0.1262[/C][C]0.449862[/C][/ROW]
[ROW][C]7[/C][C]0.124704[/C][C]1.7053[/C][C]0.044899[/C][/ROW]
[ROW][C]8[/C][C]0.08712[/C][C]1.1914[/C][C]0.117513[/C][/ROW]
[ROW][C]9[/C][C]0.139663[/C][C]1.9099[/C][C]0.028841[/C][/ROW]
[ROW][C]10[/C][C]0.049936[/C][C]0.6829[/C][C]0.24777[/C][/ROW]
[ROW][C]11[/C][C]0.130826[/C][C]1.789[/C][C]0.037615[/C][/ROW]
[ROW][C]12[/C][C]0.386385[/C][C]5.2837[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.314534[/C][C]-4.3012[/C][C]1.4e-05[/C][/ROW]
[ROW][C]14[/C][C]-0.033278[/C][C]-0.4551[/C][C]0.324792[/C][/ROW]
[ROW][C]15[/C][C]-0.150773[/C][C]-2.0618[/C][C]0.020306[/C][/ROW]
[ROW][C]16[/C][C]-0.001396[/C][C]-0.0191[/C][C]0.492396[/C][/ROW]
[ROW][C]17[/C][C]-0.071286[/C][C]-0.9748[/C][C]0.165453[/C][/ROW]
[ROW][C]18[/C][C]-0.032597[/C][C]-0.4458[/C][C]0.328146[/C][/ROW]
[ROW][C]19[/C][C]-0.12763[/C][C]-1.7453[/C][C]0.041286[/C][/ROW]
[ROW][C]20[/C][C]-0.054659[/C][C]-0.7474[/C][C]0.227866[/C][/ROW]
[ROW][C]21[/C][C]-0.024915[/C][C]-0.3407[/C][C]0.366851[/C][/ROW]
[ROW][C]22[/C][C]-0.088863[/C][C]-1.2152[/C][C]0.112913[/C][/ROW]
[ROW][C]23[/C][C]0.144955[/C][C]1.9822[/C][C]0.024459[/C][/ROW]
[ROW][C]24[/C][C]0.256521[/C][C]3.5079[/C][C]0.000283[/C][/ROW]
[ROW][C]25[/C][C]-0.027225[/C][C]-0.3723[/C][C]0.355045[/C][/ROW]
[ROW][C]26[/C][C]0.036748[/C][C]0.5025[/C][C]0.307947[/C][/ROW]
[ROW][C]27[/C][C]0.004471[/C][C]0.0611[/C][C]0.475656[/C][/ROW]
[ROW][C]28[/C][C]-0.007708[/C][C]-0.1054[/C][C]0.458084[/C][/ROW]
[ROW][C]29[/C][C]-0.023806[/C][C]-0.3255[/C][C]0.37257[/C][/ROW]
[ROW][C]30[/C][C]-0.007423[/C][C]-0.1015[/C][C]0.459629[/C][/ROW]
[ROW][C]31[/C][C]-0.022785[/C][C]-0.3116[/C][C]0.377852[/C][/ROW]
[ROW][C]32[/C][C]0.001964[/C][C]0.0269[/C][C]0.489302[/C][/ROW]
[ROW][C]33[/C][C]0.001474[/C][C]0.0202[/C][C]0.491968[/C][/ROW]
[ROW][C]34[/C][C]-0.104181[/C][C]-1.4247[/C][C]0.077961[/C][/ROW]
[ROW][C]35[/C][C]0.035221[/C][C]0.4816[/C][C]0.315313[/C][/ROW]
[ROW][C]36[/C][C]0.084053[/C][C]1.1494[/C][C]0.125927[/C][/ROW]
[ROW][C]37[/C][C]-0.050751[/C][C]-0.694[/C][C]0.244269[/C][/ROW]
[ROW][C]38[/C][C]-0.03511[/C][C]-0.4801[/C][C]0.315851[/C][/ROW]
[ROW][C]39[/C][C]-0.01037[/C][C]-0.1418[/C][C]0.443693[/C][/ROW]
[ROW][C]40[/C][C]0.001883[/C][C]0.0258[/C][C]0.48974[/C][/ROW]
[ROW][C]41[/C][C]-0.066743[/C][C]-0.9127[/C][C]0.181289[/C][/ROW]
[ROW][C]42[/C][C]-0.033893[/C][C]-0.4635[/C][C]0.321781[/C][/ROW]
[ROW][C]43[/C][C]0.006323[/C][C]0.0865[/C][C]0.465592[/C][/ROW]
[ROW][C]44[/C][C]-0.032108[/C][C]-0.4391[/C][C]0.330557[/C][/ROW]
[ROW][C]45[/C][C]0.024083[/C][C]0.3293[/C][C]0.371139[/C][/ROW]
[ROW][C]46[/C][C]0.058731[/C][C]0.8031[/C][C]0.211458[/C][/ROW]
[ROW][C]47[/C][C]-0.013731[/C][C]-0.1878[/C][C]0.425631[/C][/ROW]
[ROW][C]48[/C][C]0.101868[/C][C]1.393[/C][C]0.082634[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39817&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39817&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
10.6094548.33420
20.1936472.64810.004393
30.2919853.99284.7e-05
40.1054331.44180.075518
50.1258841.72140.043413
60.0092270.12620.449862
70.1247041.70530.044899
80.087121.19140.117513
90.1396631.90990.028841
100.0499360.68290.24777
110.1308261.7890.037615
120.3863855.28370
13-0.314534-4.30121.4e-05
14-0.033278-0.45510.324792
15-0.150773-2.06180.020306
16-0.001396-0.01910.492396
17-0.071286-0.97480.165453
18-0.032597-0.44580.328146
19-0.12763-1.74530.041286
20-0.054659-0.74740.227866
21-0.024915-0.34070.366851
22-0.088863-1.21520.112913
230.1449551.98220.024459
240.2565213.50790.000283
25-0.027225-0.37230.355045
260.0367480.50250.307947
270.0044710.06110.475656
28-0.007708-0.10540.458084
29-0.023806-0.32550.37257
30-0.007423-0.10150.459629
31-0.022785-0.31160.377852
320.0019640.02690.489302
330.0014740.02020.491968
34-0.104181-1.42470.077961
350.0352210.48160.315313
360.0840531.14940.125927
37-0.050751-0.6940.244269
38-0.03511-0.48010.315851
39-0.01037-0.14180.443693
400.0018830.02580.48974
41-0.066743-0.91270.181289
42-0.033893-0.46350.321781
430.0063230.08650.465592
44-0.032108-0.43910.330557
450.0240830.32930.371139
460.0587310.80310.211458
47-0.013731-0.18780.425631
480.1018681.3930.082634



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')