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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Aug 2009 09:40:43 -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/Aug/18/t1250610101859a9vhemymfh90.htm/, Retrieved Mon, 06 May 2024 23:48:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42843, Retrieved Mon, 06 May 2024 23:48:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie in...] [2009-08-18 15:40:43] [0d1085ed835696cdd537ad5fa07600ec] [Current]
-   P     [(Partial) Autocorrelation Function] [Autocorrelatie In...] [2009-08-19 09:08:43] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
105.46
104.66
103.52
103.71
103.78
103.67
103.66
102.76
102
101.5
101.5
99.22
98.97
98.9
99.78
104.4
106.21
105.46
108.33
111.72
111.88
112.86
113.09
116.9
114.62
118.86
124.71
122.53
127.89
136.16
134.12
130.26
135.35
131.43
129.61
123.96
121.1
125.38
123.1
129.92
136.68
131.17
124.82
122.47
126.15
118.74
116.8
116.64
116.53
117.68
119.46
126.19
124.39
121.9
122.53
122.93
124.66
124.41
120.93
120.18
123.44
126.1
125.82
122.18
117.27
117.86
119.09
123.08
125.42
121.81
121.66
121.27
120.92
122.16
124.17
127.26
134.16
134.09
135.57
136.13
136.23
140.6
136.5
130.59
129.5
135.25
138.06
146.28
145.04
147.96
156.71
160.97
168.17
163.91
153.05
151.76
119.55
119.44
120.25
124.92
126.34
125.88
127.34
127.48
119.41
114.82
115.28
116.37
111.99
113.57
117.69
120.74
122.37
123.57
124.86
122.08
123.56
126.92
134.88
130.64
131.65
130.97
136.77
138.17
146.4
152.07
153.05
142.89
141.11
131.9
118.42
108.27




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=42843&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=42843&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42843&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
10.92437710.62030
20.8270029.50150
30.7220898.29620
40.6207727.13210
50.5326676.11990
60.4683435.38080
70.4268734.90441e-06
80.39074.48888e-06
90.3423063.93286.7e-05
100.3084053.54330.000273
110.2658173.0540.001366
120.2054972.3610.009845
130.1352251.55360.061335
140.0753080.86520.194243
150.007780.08940.464457
16-0.047648-0.54740.292504
17-0.090817-1.04340.149333
18-0.118578-1.36240.087703
19-0.129013-1.48220.070329
20-0.136541-1.56870.059551
21-0.124628-1.43190.077272
22-0.106796-1.2270.111006
23-0.08844-1.01610.155719
24-0.074718-0.85840.196102
25-0.06195-0.71180.238936
26-0.064138-0.73690.231248
27-0.063042-0.72430.235081
28-0.059961-0.68890.246047
29-0.028379-0.3260.372452
300.0285680.32820.37163
310.0894231.02740.153056
320.1357751.55990.060584
330.177962.04460.021441
340.1922392.20870.014462
350.1839622.11360.018217
360.1541451.7710.039435
370.1314271.510.066719
380.1047591.20360.11545
390.0825220.94810.172404
400.0723310.8310.20373
410.0771440.88630.18853
420.076190.87540.191485
430.0706260.81140.209289
440.0715650.82220.206216
450.0829030.95250.171295
460.0982911.12930.130414
470.1116361.28260.10094
480.1134041.30290.097437

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.924377 & 10.6203 & 0 \tabularnewline
2 & 0.827002 & 9.5015 & 0 \tabularnewline
3 & 0.722089 & 8.2962 & 0 \tabularnewline
4 & 0.620772 & 7.1321 & 0 \tabularnewline
5 & 0.532667 & 6.1199 & 0 \tabularnewline
6 & 0.468343 & 5.3808 & 0 \tabularnewline
7 & 0.426873 & 4.9044 & 1e-06 \tabularnewline
8 & 0.3907 & 4.4888 & 8e-06 \tabularnewline
9 & 0.342306 & 3.9328 & 6.7e-05 \tabularnewline
10 & 0.308405 & 3.5433 & 0.000273 \tabularnewline
11 & 0.265817 & 3.054 & 0.001366 \tabularnewline
12 & 0.205497 & 2.361 & 0.009845 \tabularnewline
13 & 0.135225 & 1.5536 & 0.061335 \tabularnewline
14 & 0.075308 & 0.8652 & 0.194243 \tabularnewline
15 & 0.00778 & 0.0894 & 0.464457 \tabularnewline
16 & -0.047648 & -0.5474 & 0.292504 \tabularnewline
17 & -0.090817 & -1.0434 & 0.149333 \tabularnewline
18 & -0.118578 & -1.3624 & 0.087703 \tabularnewline
19 & -0.129013 & -1.4822 & 0.070329 \tabularnewline
20 & -0.136541 & -1.5687 & 0.059551 \tabularnewline
21 & -0.124628 & -1.4319 & 0.077272 \tabularnewline
22 & -0.106796 & -1.227 & 0.111006 \tabularnewline
23 & -0.08844 & -1.0161 & 0.155719 \tabularnewline
24 & -0.074718 & -0.8584 & 0.196102 \tabularnewline
25 & -0.06195 & -0.7118 & 0.238936 \tabularnewline
26 & -0.064138 & -0.7369 & 0.231248 \tabularnewline
27 & -0.063042 & -0.7243 & 0.235081 \tabularnewline
28 & -0.059961 & -0.6889 & 0.246047 \tabularnewline
29 & -0.028379 & -0.326 & 0.372452 \tabularnewline
30 & 0.028568 & 0.3282 & 0.37163 \tabularnewline
31 & 0.089423 & 1.0274 & 0.153056 \tabularnewline
32 & 0.135775 & 1.5599 & 0.060584 \tabularnewline
33 & 0.17796 & 2.0446 & 0.021441 \tabularnewline
34 & 0.192239 & 2.2087 & 0.014462 \tabularnewline
35 & 0.183962 & 2.1136 & 0.018217 \tabularnewline
36 & 0.154145 & 1.771 & 0.039435 \tabularnewline
37 & 0.131427 & 1.51 & 0.066719 \tabularnewline
38 & 0.104759 & 1.2036 & 0.11545 \tabularnewline
39 & 0.082522 & 0.9481 & 0.172404 \tabularnewline
40 & 0.072331 & 0.831 & 0.20373 \tabularnewline
41 & 0.077144 & 0.8863 & 0.18853 \tabularnewline
42 & 0.07619 & 0.8754 & 0.191485 \tabularnewline
43 & 0.070626 & 0.8114 & 0.209289 \tabularnewline
44 & 0.071565 & 0.8222 & 0.206216 \tabularnewline
45 & 0.082903 & 0.9525 & 0.171295 \tabularnewline
46 & 0.098291 & 1.1293 & 0.130414 \tabularnewline
47 & 0.111636 & 1.2826 & 0.10094 \tabularnewline
48 & 0.113404 & 1.3029 & 0.097437 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42843&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]0.924377[/C][C]10.6203[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.827002[/C][C]9.5015[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.722089[/C][C]8.2962[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.620772[/C][C]7.1321[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.532667[/C][C]6.1199[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.468343[/C][C]5.3808[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.426873[/C][C]4.9044[/C][C]1e-06[/C][/ROW]
[ROW][C]8[/C][C]0.3907[/C][C]4.4888[/C][C]8e-06[/C][/ROW]
[ROW][C]9[/C][C]0.342306[/C][C]3.9328[/C][C]6.7e-05[/C][/ROW]
[ROW][C]10[/C][C]0.308405[/C][C]3.5433[/C][C]0.000273[/C][/ROW]
[ROW][C]11[/C][C]0.265817[/C][C]3.054[/C][C]0.001366[/C][/ROW]
[ROW][C]12[/C][C]0.205497[/C][C]2.361[/C][C]0.009845[/C][/ROW]
[ROW][C]13[/C][C]0.135225[/C][C]1.5536[/C][C]0.061335[/C][/ROW]
[ROW][C]14[/C][C]0.075308[/C][C]0.8652[/C][C]0.194243[/C][/ROW]
[ROW][C]15[/C][C]0.00778[/C][C]0.0894[/C][C]0.464457[/C][/ROW]
[ROW][C]16[/C][C]-0.047648[/C][C]-0.5474[/C][C]0.292504[/C][/ROW]
[ROW][C]17[/C][C]-0.090817[/C][C]-1.0434[/C][C]0.149333[/C][/ROW]
[ROW][C]18[/C][C]-0.118578[/C][C]-1.3624[/C][C]0.087703[/C][/ROW]
[ROW][C]19[/C][C]-0.129013[/C][C]-1.4822[/C][C]0.070329[/C][/ROW]
[ROW][C]20[/C][C]-0.136541[/C][C]-1.5687[/C][C]0.059551[/C][/ROW]
[ROW][C]21[/C][C]-0.124628[/C][C]-1.4319[/C][C]0.077272[/C][/ROW]
[ROW][C]22[/C][C]-0.106796[/C][C]-1.227[/C][C]0.111006[/C][/ROW]
[ROW][C]23[/C][C]-0.08844[/C][C]-1.0161[/C][C]0.155719[/C][/ROW]
[ROW][C]24[/C][C]-0.074718[/C][C]-0.8584[/C][C]0.196102[/C][/ROW]
[ROW][C]25[/C][C]-0.06195[/C][C]-0.7118[/C][C]0.238936[/C][/ROW]
[ROW][C]26[/C][C]-0.064138[/C][C]-0.7369[/C][C]0.231248[/C][/ROW]
[ROW][C]27[/C][C]-0.063042[/C][C]-0.7243[/C][C]0.235081[/C][/ROW]
[ROW][C]28[/C][C]-0.059961[/C][C]-0.6889[/C][C]0.246047[/C][/ROW]
[ROW][C]29[/C][C]-0.028379[/C][C]-0.326[/C][C]0.372452[/C][/ROW]
[ROW][C]30[/C][C]0.028568[/C][C]0.3282[/C][C]0.37163[/C][/ROW]
[ROW][C]31[/C][C]0.089423[/C][C]1.0274[/C][C]0.153056[/C][/ROW]
[ROW][C]32[/C][C]0.135775[/C][C]1.5599[/C][C]0.060584[/C][/ROW]
[ROW][C]33[/C][C]0.17796[/C][C]2.0446[/C][C]0.021441[/C][/ROW]
[ROW][C]34[/C][C]0.192239[/C][C]2.2087[/C][C]0.014462[/C][/ROW]
[ROW][C]35[/C][C]0.183962[/C][C]2.1136[/C][C]0.018217[/C][/ROW]
[ROW][C]36[/C][C]0.154145[/C][C]1.771[/C][C]0.039435[/C][/ROW]
[ROW][C]37[/C][C]0.131427[/C][C]1.51[/C][C]0.066719[/C][/ROW]
[ROW][C]38[/C][C]0.104759[/C][C]1.2036[/C][C]0.11545[/C][/ROW]
[ROW][C]39[/C][C]0.082522[/C][C]0.9481[/C][C]0.172404[/C][/ROW]
[ROW][C]40[/C][C]0.072331[/C][C]0.831[/C][C]0.20373[/C][/ROW]
[ROW][C]41[/C][C]0.077144[/C][C]0.8863[/C][C]0.18853[/C][/ROW]
[ROW][C]42[/C][C]0.07619[/C][C]0.8754[/C][C]0.191485[/C][/ROW]
[ROW][C]43[/C][C]0.070626[/C][C]0.8114[/C][C]0.209289[/C][/ROW]
[ROW][C]44[/C][C]0.071565[/C][C]0.8222[/C][C]0.206216[/C][/ROW]
[ROW][C]45[/C][C]0.082903[/C][C]0.9525[/C][C]0.171295[/C][/ROW]
[ROW][C]46[/C][C]0.098291[/C][C]1.1293[/C][C]0.130414[/C][/ROW]
[ROW][C]47[/C][C]0.111636[/C][C]1.2826[/C][C]0.10094[/C][/ROW]
[ROW][C]48[/C][C]0.113404[/C][C]1.3029[/C][C]0.097437[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42843&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42843&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
10.92437710.62030
20.8270029.50150
30.7220898.29620
40.6207727.13210
50.5326676.11990
60.4683435.38080
70.4268734.90441e-06
80.39074.48888e-06
90.3423063.93286.7e-05
100.3084053.54330.000273
110.2658173.0540.001366
120.2054972.3610.009845
130.1352251.55360.061335
140.0753080.86520.194243
150.007780.08940.464457
16-0.047648-0.54740.292504
17-0.090817-1.04340.149333
18-0.118578-1.36240.087703
19-0.129013-1.48220.070329
20-0.136541-1.56870.059551
21-0.124628-1.43190.077272
22-0.106796-1.2270.111006
23-0.08844-1.01610.155719
24-0.074718-0.85840.196102
25-0.06195-0.71180.238936
26-0.064138-0.73690.231248
27-0.063042-0.72430.235081
28-0.059961-0.68890.246047
29-0.028379-0.3260.372452
300.0285680.32820.37163
310.0894231.02740.153056
320.1357751.55990.060584
330.177962.04460.021441
340.1922392.20870.014462
350.1839622.11360.018217
360.1541451.7710.039435
370.1314271.510.066719
380.1047591.20360.11545
390.0825220.94810.172404
400.0723310.8310.20373
410.0771440.88630.18853
420.076190.87540.191485
430.0706260.81140.209289
440.0715650.82220.206216
450.0829030.95250.171295
460.0982911.12930.130414
470.1116361.28260.10094
480.1134041.30290.097437







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.92437710.62030
2-0.188761-2.16870.015949
3-0.086834-0.99760.160138
4-0.024465-0.28110.389546
50.0258220.29670.383593
60.0874471.00470.158443
70.0722630.83020.203951
8-0.04177-0.47990.316045
9-0.129061-1.48280.070255
100.1084731.24630.107439
11-0.082659-0.94970.172006
12-0.133673-1.53580.063492
13-0.079418-0.91240.181598
140.039680.45590.324609
15-0.12961-1.48910.069423
160.041020.47130.319107
17-0.00924-0.10620.457807
18-0.020906-0.24020.405276
190.086010.98820.162437
20-0.026995-0.31020.378467
210.0974721.11990.132403
220.0108470.12460.450506
230.0664840.76380.223163
24-0.050543-0.58070.281218
250.042310.48610.313851
26-0.093545-1.07480.142223
270.0647090.74350.229265
280.0020680.02380.49054
290.1792852.05980.02069
300.1368731.57260.059108
31-0.026156-0.30050.382129
32-0.097499-1.12020.132336
330.0190390.21870.413595
34-0.062385-0.71670.237398
35-0.107436-1.23430.109634
36-0.050075-0.57530.283027
370.0416750.47880.316433
38-0.04616-0.53030.298385
390.0087010.10.460261
400.0316820.3640.358221
41-0.022159-0.25460.399718
42-0.022712-0.26090.397271
43-0.001178-0.01350.494613
440.0668380.76790.221957
450.1358991.56140.060417
460.1426811.63930.051768
470.011640.13370.44691
48-0.076715-0.88140.189856

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.924377 & 10.6203 & 0 \tabularnewline
2 & -0.188761 & -2.1687 & 0.015949 \tabularnewline
3 & -0.086834 & -0.9976 & 0.160138 \tabularnewline
4 & -0.024465 & -0.2811 & 0.389546 \tabularnewline
5 & 0.025822 & 0.2967 & 0.383593 \tabularnewline
6 & 0.087447 & 1.0047 & 0.158443 \tabularnewline
7 & 0.072263 & 0.8302 & 0.203951 \tabularnewline
8 & -0.04177 & -0.4799 & 0.316045 \tabularnewline
9 & -0.129061 & -1.4828 & 0.070255 \tabularnewline
10 & 0.108473 & 1.2463 & 0.107439 \tabularnewline
11 & -0.082659 & -0.9497 & 0.172006 \tabularnewline
12 & -0.133673 & -1.5358 & 0.063492 \tabularnewline
13 & -0.079418 & -0.9124 & 0.181598 \tabularnewline
14 & 0.03968 & 0.4559 & 0.324609 \tabularnewline
15 & -0.12961 & -1.4891 & 0.069423 \tabularnewline
16 & 0.04102 & 0.4713 & 0.319107 \tabularnewline
17 & -0.00924 & -0.1062 & 0.457807 \tabularnewline
18 & -0.020906 & -0.2402 & 0.405276 \tabularnewline
19 & 0.08601 & 0.9882 & 0.162437 \tabularnewline
20 & -0.026995 & -0.3102 & 0.378467 \tabularnewline
21 & 0.097472 & 1.1199 & 0.132403 \tabularnewline
22 & 0.010847 & 0.1246 & 0.450506 \tabularnewline
23 & 0.066484 & 0.7638 & 0.223163 \tabularnewline
24 & -0.050543 & -0.5807 & 0.281218 \tabularnewline
25 & 0.04231 & 0.4861 & 0.313851 \tabularnewline
26 & -0.093545 & -1.0748 & 0.142223 \tabularnewline
27 & 0.064709 & 0.7435 & 0.229265 \tabularnewline
28 & 0.002068 & 0.0238 & 0.49054 \tabularnewline
29 & 0.179285 & 2.0598 & 0.02069 \tabularnewline
30 & 0.136873 & 1.5726 & 0.059108 \tabularnewline
31 & -0.026156 & -0.3005 & 0.382129 \tabularnewline
32 & -0.097499 & -1.1202 & 0.132336 \tabularnewline
33 & 0.019039 & 0.2187 & 0.413595 \tabularnewline
34 & -0.062385 & -0.7167 & 0.237398 \tabularnewline
35 & -0.107436 & -1.2343 & 0.109634 \tabularnewline
36 & -0.050075 & -0.5753 & 0.283027 \tabularnewline
37 & 0.041675 & 0.4788 & 0.316433 \tabularnewline
38 & -0.04616 & -0.5303 & 0.298385 \tabularnewline
39 & 0.008701 & 0.1 & 0.460261 \tabularnewline
40 & 0.031682 & 0.364 & 0.358221 \tabularnewline
41 & -0.022159 & -0.2546 & 0.399718 \tabularnewline
42 & -0.022712 & -0.2609 & 0.397271 \tabularnewline
43 & -0.001178 & -0.0135 & 0.494613 \tabularnewline
44 & 0.066838 & 0.7679 & 0.221957 \tabularnewline
45 & 0.135899 & 1.5614 & 0.060417 \tabularnewline
46 & 0.142681 & 1.6393 & 0.051768 \tabularnewline
47 & 0.01164 & 0.1337 & 0.44691 \tabularnewline
48 & -0.076715 & -0.8814 & 0.189856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42843&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]0.924377[/C][C]10.6203[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.188761[/C][C]-2.1687[/C][C]0.015949[/C][/ROW]
[ROW][C]3[/C][C]-0.086834[/C][C]-0.9976[/C][C]0.160138[/C][/ROW]
[ROW][C]4[/C][C]-0.024465[/C][C]-0.2811[/C][C]0.389546[/C][/ROW]
[ROW][C]5[/C][C]0.025822[/C][C]0.2967[/C][C]0.383593[/C][/ROW]
[ROW][C]6[/C][C]0.087447[/C][C]1.0047[/C][C]0.158443[/C][/ROW]
[ROW][C]7[/C][C]0.072263[/C][C]0.8302[/C][C]0.203951[/C][/ROW]
[ROW][C]8[/C][C]-0.04177[/C][C]-0.4799[/C][C]0.316045[/C][/ROW]
[ROW][C]9[/C][C]-0.129061[/C][C]-1.4828[/C][C]0.070255[/C][/ROW]
[ROW][C]10[/C][C]0.108473[/C][C]1.2463[/C][C]0.107439[/C][/ROW]
[ROW][C]11[/C][C]-0.082659[/C][C]-0.9497[/C][C]0.172006[/C][/ROW]
[ROW][C]12[/C][C]-0.133673[/C][C]-1.5358[/C][C]0.063492[/C][/ROW]
[ROW][C]13[/C][C]-0.079418[/C][C]-0.9124[/C][C]0.181598[/C][/ROW]
[ROW][C]14[/C][C]0.03968[/C][C]0.4559[/C][C]0.324609[/C][/ROW]
[ROW][C]15[/C][C]-0.12961[/C][C]-1.4891[/C][C]0.069423[/C][/ROW]
[ROW][C]16[/C][C]0.04102[/C][C]0.4713[/C][C]0.319107[/C][/ROW]
[ROW][C]17[/C][C]-0.00924[/C][C]-0.1062[/C][C]0.457807[/C][/ROW]
[ROW][C]18[/C][C]-0.020906[/C][C]-0.2402[/C][C]0.405276[/C][/ROW]
[ROW][C]19[/C][C]0.08601[/C][C]0.9882[/C][C]0.162437[/C][/ROW]
[ROW][C]20[/C][C]-0.026995[/C][C]-0.3102[/C][C]0.378467[/C][/ROW]
[ROW][C]21[/C][C]0.097472[/C][C]1.1199[/C][C]0.132403[/C][/ROW]
[ROW][C]22[/C][C]0.010847[/C][C]0.1246[/C][C]0.450506[/C][/ROW]
[ROW][C]23[/C][C]0.066484[/C][C]0.7638[/C][C]0.223163[/C][/ROW]
[ROW][C]24[/C][C]-0.050543[/C][C]-0.5807[/C][C]0.281218[/C][/ROW]
[ROW][C]25[/C][C]0.04231[/C][C]0.4861[/C][C]0.313851[/C][/ROW]
[ROW][C]26[/C][C]-0.093545[/C][C]-1.0748[/C][C]0.142223[/C][/ROW]
[ROW][C]27[/C][C]0.064709[/C][C]0.7435[/C][C]0.229265[/C][/ROW]
[ROW][C]28[/C][C]0.002068[/C][C]0.0238[/C][C]0.49054[/C][/ROW]
[ROW][C]29[/C][C]0.179285[/C][C]2.0598[/C][C]0.02069[/C][/ROW]
[ROW][C]30[/C][C]0.136873[/C][C]1.5726[/C][C]0.059108[/C][/ROW]
[ROW][C]31[/C][C]-0.026156[/C][C]-0.3005[/C][C]0.382129[/C][/ROW]
[ROW][C]32[/C][C]-0.097499[/C][C]-1.1202[/C][C]0.132336[/C][/ROW]
[ROW][C]33[/C][C]0.019039[/C][C]0.2187[/C][C]0.413595[/C][/ROW]
[ROW][C]34[/C][C]-0.062385[/C][C]-0.7167[/C][C]0.237398[/C][/ROW]
[ROW][C]35[/C][C]-0.107436[/C][C]-1.2343[/C][C]0.109634[/C][/ROW]
[ROW][C]36[/C][C]-0.050075[/C][C]-0.5753[/C][C]0.283027[/C][/ROW]
[ROW][C]37[/C][C]0.041675[/C][C]0.4788[/C][C]0.316433[/C][/ROW]
[ROW][C]38[/C][C]-0.04616[/C][C]-0.5303[/C][C]0.298385[/C][/ROW]
[ROW][C]39[/C][C]0.008701[/C][C]0.1[/C][C]0.460261[/C][/ROW]
[ROW][C]40[/C][C]0.031682[/C][C]0.364[/C][C]0.358221[/C][/ROW]
[ROW][C]41[/C][C]-0.022159[/C][C]-0.2546[/C][C]0.399718[/C][/ROW]
[ROW][C]42[/C][C]-0.022712[/C][C]-0.2609[/C][C]0.397271[/C][/ROW]
[ROW][C]43[/C][C]-0.001178[/C][C]-0.0135[/C][C]0.494613[/C][/ROW]
[ROW][C]44[/C][C]0.066838[/C][C]0.7679[/C][C]0.221957[/C][/ROW]
[ROW][C]45[/C][C]0.135899[/C][C]1.5614[/C][C]0.060417[/C][/ROW]
[ROW][C]46[/C][C]0.142681[/C][C]1.6393[/C][C]0.051768[/C][/ROW]
[ROW][C]47[/C][C]0.01164[/C][C]0.1337[/C][C]0.44691[/C][/ROW]
[ROW][C]48[/C][C]-0.076715[/C][C]-0.8814[/C][C]0.189856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42843&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42843&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
10.92437710.62030
2-0.188761-2.16870.015949
3-0.086834-0.99760.160138
4-0.024465-0.28110.389546
50.0258220.29670.383593
60.0874471.00470.158443
70.0722630.83020.203951
8-0.04177-0.47990.316045
9-0.129061-1.48280.070255
100.1084731.24630.107439
11-0.082659-0.94970.172006
12-0.133673-1.53580.063492
13-0.079418-0.91240.181598
140.039680.45590.324609
15-0.12961-1.48910.069423
160.041020.47130.319107
17-0.00924-0.10620.457807
18-0.020906-0.24020.405276
190.086010.98820.162437
20-0.026995-0.31020.378467
210.0974721.11990.132403
220.0108470.12460.450506
230.0664840.76380.223163
24-0.050543-0.58070.281218
250.042310.48610.313851
26-0.093545-1.07480.142223
270.0647090.74350.229265
280.0020680.02380.49054
290.1792852.05980.02069
300.1368731.57260.059108
31-0.026156-0.30050.382129
32-0.097499-1.12020.132336
330.0190390.21870.413595
34-0.062385-0.71670.237398
35-0.107436-1.23430.109634
36-0.050075-0.57530.283027
370.0416750.47880.316433
38-0.04616-0.53030.298385
390.0087010.10.460261
400.0316820.3640.358221
41-0.022159-0.25460.399718
42-0.022712-0.26090.397271
43-0.001178-0.01350.494613
440.0668380.76790.221957
450.1358991.56140.060417
460.1426811.63930.051768
470.011640.13370.44691
48-0.076715-0.88140.189856



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')