Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 20 Dec 2007 08:39:50 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/20/t1198164139kwflvd7x99c8tlz.htm/, Retrieved Mon, 29 Apr 2024 08:34:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4741, Retrieved Mon, 29 Apr 2024 08:34:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [partial autocorr ...] [2007-12-20 15:39:50] [8e05505c645e933583b5ad9ab4281af9] [Current]
Feedback Forum

Post a new message
Dataseries X:
145,3
143,6
142,8
155,9
156,2
149,8
152,7
155,5
159,3
143
141,4
142,8
146,4
152,3
164,3
168
171,3
162,7
150,2
142,5
138,2
138
145,1
138,4
131,8
130,8
126,3
123
124
120,8
122,1
106,5
104,3
108,7
113,8
112,5
106,1
98,4
96
99,3
97,5
95,3
88
94,7
99,4
98,9
96,4
95,3
99,5
101,6
103,9
106,6
108,3
102
93,8
91,6
97,7
94,8
98
103,8
97,8
91,2
89,3
87,5
90,4
94,2
102,2
101,3
96
90,8
93,2
90,9
91,1
90,2
94,3
96
99
103,3
113,1
112,8
112,1
107,4
111
110,5
110,8
112,4
111,5
116,2
122,5
121,3
113,9
110,7
120,8
141,1
147,4
148
158,1
165
187
190,3
182,4
168,8
151,2
120,1
112,5
106,2
107,1
108,5
106,5
108,3
125,6
124
127,2
136,9
135,8
124,3
115,4
113,6
114,4
118,4
117
116,5
115,4
113,6
117,4
116,9
116,4
111,1
110,2
118,9
131,8
130,6
138,3
148,4
148,7
144,3
152,5
162,9
167,2
166,5
185,6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4741&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4741&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4741&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0111.83220
10.3615434.27781.7e-05
20.0245650.29070.385872
3-0.043699-0.51710.697035
40.0062660.07410.470501
5-0.078834-0.93280.823731
6-0.066641-0.78850.784132
7-0.113011-1.33720.908331
8-0.007844-0.09280.536908
9-0.122629-1.4510.925486
10-0.102094-1.2080.885456
110.0490260.58010.281395
120.0696870.82460.205514
130.0547320.64760.259153
140.0914991.08260.140416
150.0131630.15570.438228
160.0016330.01930.492304
17-0.032453-0.3840.649215
180.0383550.45380.325329
190.0731930.8660.193977
200.0514440.60870.271857
21-0.022947-0.27150.606803
220.0860111.01770.155288
230.00190.02250.491049
24-0.120612-1.42710.922111
25-0.186221-2.20340.985399
26-0.01067-0.12630.550143
27-0.048667-0.57580.717174
28-0.104134-1.23210.890016
29-0.130641-1.54580.937791
30-0.008684-0.10270.540846
310.0451320.5340.297092
320.0663990.78560.216701
33-0.022558-0.26690.605036
340.0030310.03590.485721
35-0.008827-0.10440.541518
360.075950.89870.185191
370.0020710.02450.490244
38-0.107721-1.27460.897714
39-0.135189-1.59960.944026
400.0120240.14230.443538
41-0.003355-0.03970.515806
420.0669480.79210.214808
430.0579820.6860.246908
440.1371761.62310.05341
450.0642310.760.224269
46-0.032427-0.38370.6491
47-0.070166-0.83020.796086

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 11.8322 & 0 \tabularnewline
1 & 0.361543 & 4.2778 & 1.7e-05 \tabularnewline
2 & 0.024565 & 0.2907 & 0.385872 \tabularnewline
3 & -0.043699 & -0.5171 & 0.697035 \tabularnewline
4 & 0.006266 & 0.0741 & 0.470501 \tabularnewline
5 & -0.078834 & -0.9328 & 0.823731 \tabularnewline
6 & -0.066641 & -0.7885 & 0.784132 \tabularnewline
7 & -0.113011 & -1.3372 & 0.908331 \tabularnewline
8 & -0.007844 & -0.0928 & 0.536908 \tabularnewline
9 & -0.122629 & -1.451 & 0.925486 \tabularnewline
10 & -0.102094 & -1.208 & 0.885456 \tabularnewline
11 & 0.049026 & 0.5801 & 0.281395 \tabularnewline
12 & 0.069687 & 0.8246 & 0.205514 \tabularnewline
13 & 0.054732 & 0.6476 & 0.259153 \tabularnewline
14 & 0.091499 & 1.0826 & 0.140416 \tabularnewline
15 & 0.013163 & 0.1557 & 0.438228 \tabularnewline
16 & 0.001633 & 0.0193 & 0.492304 \tabularnewline
17 & -0.032453 & -0.384 & 0.649215 \tabularnewline
18 & 0.038355 & 0.4538 & 0.325329 \tabularnewline
19 & 0.073193 & 0.866 & 0.193977 \tabularnewline
20 & 0.051444 & 0.6087 & 0.271857 \tabularnewline
21 & -0.022947 & -0.2715 & 0.606803 \tabularnewline
22 & 0.086011 & 1.0177 & 0.155288 \tabularnewline
23 & 0.0019 & 0.0225 & 0.491049 \tabularnewline
24 & -0.120612 & -1.4271 & 0.922111 \tabularnewline
25 & -0.186221 & -2.2034 & 0.985399 \tabularnewline
26 & -0.01067 & -0.1263 & 0.550143 \tabularnewline
27 & -0.048667 & -0.5758 & 0.717174 \tabularnewline
28 & -0.104134 & -1.2321 & 0.890016 \tabularnewline
29 & -0.130641 & -1.5458 & 0.937791 \tabularnewline
30 & -0.008684 & -0.1027 & 0.540846 \tabularnewline
31 & 0.045132 & 0.534 & 0.297092 \tabularnewline
32 & 0.066399 & 0.7856 & 0.216701 \tabularnewline
33 & -0.022558 & -0.2669 & 0.605036 \tabularnewline
34 & 0.003031 & 0.0359 & 0.485721 \tabularnewline
35 & -0.008827 & -0.1044 & 0.541518 \tabularnewline
36 & 0.07595 & 0.8987 & 0.185191 \tabularnewline
37 & 0.002071 & 0.0245 & 0.490244 \tabularnewline
38 & -0.107721 & -1.2746 & 0.897714 \tabularnewline
39 & -0.135189 & -1.5996 & 0.944026 \tabularnewline
40 & 0.012024 & 0.1423 & 0.443538 \tabularnewline
41 & -0.003355 & -0.0397 & 0.515806 \tabularnewline
42 & 0.066948 & 0.7921 & 0.214808 \tabularnewline
43 & 0.057982 & 0.686 & 0.246908 \tabularnewline
44 & 0.137176 & 1.6231 & 0.05341 \tabularnewline
45 & 0.064231 & 0.76 & 0.224269 \tabularnewline
46 & -0.032427 & -0.3837 & 0.6491 \tabularnewline
47 & -0.070166 & -0.8302 & 0.796086 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4741&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]0[/C][C]1[/C][C]11.8322[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.361543[/C][C]4.2778[/C][C]1.7e-05[/C][/ROW]
[ROW][C]2[/C][C]0.024565[/C][C]0.2907[/C][C]0.385872[/C][/ROW]
[ROW][C]3[/C][C]-0.043699[/C][C]-0.5171[/C][C]0.697035[/C][/ROW]
[ROW][C]4[/C][C]0.006266[/C][C]0.0741[/C][C]0.470501[/C][/ROW]
[ROW][C]5[/C][C]-0.078834[/C][C]-0.9328[/C][C]0.823731[/C][/ROW]
[ROW][C]6[/C][C]-0.066641[/C][C]-0.7885[/C][C]0.784132[/C][/ROW]
[ROW][C]7[/C][C]-0.113011[/C][C]-1.3372[/C][C]0.908331[/C][/ROW]
[ROW][C]8[/C][C]-0.007844[/C][C]-0.0928[/C][C]0.536908[/C][/ROW]
[ROW][C]9[/C][C]-0.122629[/C][C]-1.451[/C][C]0.925486[/C][/ROW]
[ROW][C]10[/C][C]-0.102094[/C][C]-1.208[/C][C]0.885456[/C][/ROW]
[ROW][C]11[/C][C]0.049026[/C][C]0.5801[/C][C]0.281395[/C][/ROW]
[ROW][C]12[/C][C]0.069687[/C][C]0.8246[/C][C]0.205514[/C][/ROW]
[ROW][C]13[/C][C]0.054732[/C][C]0.6476[/C][C]0.259153[/C][/ROW]
[ROW][C]14[/C][C]0.091499[/C][C]1.0826[/C][C]0.140416[/C][/ROW]
[ROW][C]15[/C][C]0.013163[/C][C]0.1557[/C][C]0.438228[/C][/ROW]
[ROW][C]16[/C][C]0.001633[/C][C]0.0193[/C][C]0.492304[/C][/ROW]
[ROW][C]17[/C][C]-0.032453[/C][C]-0.384[/C][C]0.649215[/C][/ROW]
[ROW][C]18[/C][C]0.038355[/C][C]0.4538[/C][C]0.325329[/C][/ROW]
[ROW][C]19[/C][C]0.073193[/C][C]0.866[/C][C]0.193977[/C][/ROW]
[ROW][C]20[/C][C]0.051444[/C][C]0.6087[/C][C]0.271857[/C][/ROW]
[ROW][C]21[/C][C]-0.022947[/C][C]-0.2715[/C][C]0.606803[/C][/ROW]
[ROW][C]22[/C][C]0.086011[/C][C]1.0177[/C][C]0.155288[/C][/ROW]
[ROW][C]23[/C][C]0.0019[/C][C]0.0225[/C][C]0.491049[/C][/ROW]
[ROW][C]24[/C][C]-0.120612[/C][C]-1.4271[/C][C]0.922111[/C][/ROW]
[ROW][C]25[/C][C]-0.186221[/C][C]-2.2034[/C][C]0.985399[/C][/ROW]
[ROW][C]26[/C][C]-0.01067[/C][C]-0.1263[/C][C]0.550143[/C][/ROW]
[ROW][C]27[/C][C]-0.048667[/C][C]-0.5758[/C][C]0.717174[/C][/ROW]
[ROW][C]28[/C][C]-0.104134[/C][C]-1.2321[/C][C]0.890016[/C][/ROW]
[ROW][C]29[/C][C]-0.130641[/C][C]-1.5458[/C][C]0.937791[/C][/ROW]
[ROW][C]30[/C][C]-0.008684[/C][C]-0.1027[/C][C]0.540846[/C][/ROW]
[ROW][C]31[/C][C]0.045132[/C][C]0.534[/C][C]0.297092[/C][/ROW]
[ROW][C]32[/C][C]0.066399[/C][C]0.7856[/C][C]0.216701[/C][/ROW]
[ROW][C]33[/C][C]-0.022558[/C][C]-0.2669[/C][C]0.605036[/C][/ROW]
[ROW][C]34[/C][C]0.003031[/C][C]0.0359[/C][C]0.485721[/C][/ROW]
[ROW][C]35[/C][C]-0.008827[/C][C]-0.1044[/C][C]0.541518[/C][/ROW]
[ROW][C]36[/C][C]0.07595[/C][C]0.8987[/C][C]0.185191[/C][/ROW]
[ROW][C]37[/C][C]0.002071[/C][C]0.0245[/C][C]0.490244[/C][/ROW]
[ROW][C]38[/C][C]-0.107721[/C][C]-1.2746[/C][C]0.897714[/C][/ROW]
[ROW][C]39[/C][C]-0.135189[/C][C]-1.5996[/C][C]0.944026[/C][/ROW]
[ROW][C]40[/C][C]0.012024[/C][C]0.1423[/C][C]0.443538[/C][/ROW]
[ROW][C]41[/C][C]-0.003355[/C][C]-0.0397[/C][C]0.515806[/C][/ROW]
[ROW][C]42[/C][C]0.066948[/C][C]0.7921[/C][C]0.214808[/C][/ROW]
[ROW][C]43[/C][C]0.057982[/C][C]0.686[/C][C]0.246908[/C][/ROW]
[ROW][C]44[/C][C]0.137176[/C][C]1.6231[/C][C]0.05341[/C][/ROW]
[ROW][C]45[/C][C]0.064231[/C][C]0.76[/C][C]0.224269[/C][/ROW]
[ROW][C]46[/C][C]-0.032427[/C][C]-0.3837[/C][C]0.6491[/C][/ROW]
[ROW][C]47[/C][C]-0.070166[/C][C]-0.8302[/C][C]0.796086[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4741&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4741&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
0111.83220
10.3615434.27781.7e-05
20.0245650.29070.385872
3-0.043699-0.51710.697035
40.0062660.07410.470501
5-0.078834-0.93280.823731
6-0.066641-0.78850.784132
7-0.113011-1.33720.908331
8-0.007844-0.09280.536908
9-0.122629-1.4510.925486
10-0.102094-1.2080.885456
110.0490260.58010.281395
120.0696870.82460.205514
130.0547320.64760.259153
140.0914991.08260.140416
150.0131630.15570.438228
160.0016330.01930.492304
17-0.032453-0.3840.649215
180.0383550.45380.325329
190.0731930.8660.193977
200.0514440.60870.271857
21-0.022947-0.27150.606803
220.0860111.01770.155288
230.00190.02250.491049
24-0.120612-1.42710.922111
25-0.186221-2.20340.985399
26-0.01067-0.12630.550143
27-0.048667-0.57580.717174
28-0.104134-1.23210.890016
29-0.130641-1.54580.937791
30-0.008684-0.10270.540846
310.0451320.5340.297092
320.0663990.78560.216701
33-0.022558-0.26690.605036
340.0030310.03590.485721
35-0.008827-0.10440.541518
360.075950.89870.185191
370.0020710.02450.490244
38-0.107721-1.27460.897714
39-0.135189-1.59960.944026
400.0120240.14230.443538
41-0.003355-0.03970.515806
420.0669480.79210.214808
430.0579820.6860.246908
440.1371761.62310.05341
450.0642310.760.224269
46-0.032427-0.38370.6491
47-0.070166-0.83020.796086







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3615434.27781.7e-05
1-0.12211-1.44480.924629
2-0.011114-0.13150.552217
30.0360220.42620.335303
4-0.115444-1.3660.912928
50.0051370.06080.475808
6-0.10669-1.26240.895542
70.0704180.83320.203078
8-0.17918-2.12010.982119
9-0.004324-0.05120.520364
100.1110581.31410.095489
11-0.046778-0.55350.709591
120.0712990.84360.20016
130.0405490.47980.316064
14-0.056044-0.66310.74583
150.0126630.14980.440559
16-0.03889-0.46020.67694
170.0964931.14170.127759
180.0118720.14050.444243
190.0395150.46760.320416
20-0.008443-0.09990.539718
210.1062331.2570.105431
22-0.055659-0.65860.744371
23-0.129075-1.52720.93552
24-0.089721-1.06160.854875
250.0905571.07150.142898
26-0.113493-1.34290.909257
27-0.054996-0.65070.741855
28-0.039704-0.46980.680379
29-0.010115-0.11970.547546
300.0397730.47060.319328
310.0099360.11760.453289
32-0.102078-1.20780.88542
33-0.037497-0.44370.671019
34-0.001002-0.01190.504722
350.1146831.35690.088491
36-0.097996-1.15950.875888
37-0.111591-1.32040.905565
38-0.021605-0.25560.600696
390.0688660.81480.208277
40-0.013055-0.15450.561269
410.0776180.91840.179998
420.0407050.48160.315412
430.1100121.30170.097581
44-0.02134-0.25250.599487
45-0.031619-0.37410.645562
460.0184720.21860.413654
470.0974021.15250.125546

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.361543 & 4.2778 & 1.7e-05 \tabularnewline
1 & -0.12211 & -1.4448 & 0.924629 \tabularnewline
2 & -0.011114 & -0.1315 & 0.552217 \tabularnewline
3 & 0.036022 & 0.4262 & 0.335303 \tabularnewline
4 & -0.115444 & -1.366 & 0.912928 \tabularnewline
5 & 0.005137 & 0.0608 & 0.475808 \tabularnewline
6 & -0.10669 & -1.2624 & 0.895542 \tabularnewline
7 & 0.070418 & 0.8332 & 0.203078 \tabularnewline
8 & -0.17918 & -2.1201 & 0.982119 \tabularnewline
9 & -0.004324 & -0.0512 & 0.520364 \tabularnewline
10 & 0.111058 & 1.3141 & 0.095489 \tabularnewline
11 & -0.046778 & -0.5535 & 0.709591 \tabularnewline
12 & 0.071299 & 0.8436 & 0.20016 \tabularnewline
13 & 0.040549 & 0.4798 & 0.316064 \tabularnewline
14 & -0.056044 & -0.6631 & 0.74583 \tabularnewline
15 & 0.012663 & 0.1498 & 0.440559 \tabularnewline
16 & -0.03889 & -0.4602 & 0.67694 \tabularnewline
17 & 0.096493 & 1.1417 & 0.127759 \tabularnewline
18 & 0.011872 & 0.1405 & 0.444243 \tabularnewline
19 & 0.039515 & 0.4676 & 0.320416 \tabularnewline
20 & -0.008443 & -0.0999 & 0.539718 \tabularnewline
21 & 0.106233 & 1.257 & 0.105431 \tabularnewline
22 & -0.055659 & -0.6586 & 0.744371 \tabularnewline
23 & -0.129075 & -1.5272 & 0.93552 \tabularnewline
24 & -0.089721 & -1.0616 & 0.854875 \tabularnewline
25 & 0.090557 & 1.0715 & 0.142898 \tabularnewline
26 & -0.113493 & -1.3429 & 0.909257 \tabularnewline
27 & -0.054996 & -0.6507 & 0.741855 \tabularnewline
28 & -0.039704 & -0.4698 & 0.680379 \tabularnewline
29 & -0.010115 & -0.1197 & 0.547546 \tabularnewline
30 & 0.039773 & 0.4706 & 0.319328 \tabularnewline
31 & 0.009936 & 0.1176 & 0.453289 \tabularnewline
32 & -0.102078 & -1.2078 & 0.88542 \tabularnewline
33 & -0.037497 & -0.4437 & 0.671019 \tabularnewline
34 & -0.001002 & -0.0119 & 0.504722 \tabularnewline
35 & 0.114683 & 1.3569 & 0.088491 \tabularnewline
36 & -0.097996 & -1.1595 & 0.875888 \tabularnewline
37 & -0.111591 & -1.3204 & 0.905565 \tabularnewline
38 & -0.021605 & -0.2556 & 0.600696 \tabularnewline
39 & 0.068866 & 0.8148 & 0.208277 \tabularnewline
40 & -0.013055 & -0.1545 & 0.561269 \tabularnewline
41 & 0.077618 & 0.9184 & 0.179998 \tabularnewline
42 & 0.040705 & 0.4816 & 0.315412 \tabularnewline
43 & 0.110012 & 1.3017 & 0.097581 \tabularnewline
44 & -0.02134 & -0.2525 & 0.599487 \tabularnewline
45 & -0.031619 & -0.3741 & 0.645562 \tabularnewline
46 & 0.018472 & 0.2186 & 0.413654 \tabularnewline
47 & 0.097402 & 1.1525 & 0.125546 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4741&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]0[/C][C]0.361543[/C][C]4.2778[/C][C]1.7e-05[/C][/ROW]
[ROW][C]1[/C][C]-0.12211[/C][C]-1.4448[/C][C]0.924629[/C][/ROW]
[ROW][C]2[/C][C]-0.011114[/C][C]-0.1315[/C][C]0.552217[/C][/ROW]
[ROW][C]3[/C][C]0.036022[/C][C]0.4262[/C][C]0.335303[/C][/ROW]
[ROW][C]4[/C][C]-0.115444[/C][C]-1.366[/C][C]0.912928[/C][/ROW]
[ROW][C]5[/C][C]0.005137[/C][C]0.0608[/C][C]0.475808[/C][/ROW]
[ROW][C]6[/C][C]-0.10669[/C][C]-1.2624[/C][C]0.895542[/C][/ROW]
[ROW][C]7[/C][C]0.070418[/C][C]0.8332[/C][C]0.203078[/C][/ROW]
[ROW][C]8[/C][C]-0.17918[/C][C]-2.1201[/C][C]0.982119[/C][/ROW]
[ROW][C]9[/C][C]-0.004324[/C][C]-0.0512[/C][C]0.520364[/C][/ROW]
[ROW][C]10[/C][C]0.111058[/C][C]1.3141[/C][C]0.095489[/C][/ROW]
[ROW][C]11[/C][C]-0.046778[/C][C]-0.5535[/C][C]0.709591[/C][/ROW]
[ROW][C]12[/C][C]0.071299[/C][C]0.8436[/C][C]0.20016[/C][/ROW]
[ROW][C]13[/C][C]0.040549[/C][C]0.4798[/C][C]0.316064[/C][/ROW]
[ROW][C]14[/C][C]-0.056044[/C][C]-0.6631[/C][C]0.74583[/C][/ROW]
[ROW][C]15[/C][C]0.012663[/C][C]0.1498[/C][C]0.440559[/C][/ROW]
[ROW][C]16[/C][C]-0.03889[/C][C]-0.4602[/C][C]0.67694[/C][/ROW]
[ROW][C]17[/C][C]0.096493[/C][C]1.1417[/C][C]0.127759[/C][/ROW]
[ROW][C]18[/C][C]0.011872[/C][C]0.1405[/C][C]0.444243[/C][/ROW]
[ROW][C]19[/C][C]0.039515[/C][C]0.4676[/C][C]0.320416[/C][/ROW]
[ROW][C]20[/C][C]-0.008443[/C][C]-0.0999[/C][C]0.539718[/C][/ROW]
[ROW][C]21[/C][C]0.106233[/C][C]1.257[/C][C]0.105431[/C][/ROW]
[ROW][C]22[/C][C]-0.055659[/C][C]-0.6586[/C][C]0.744371[/C][/ROW]
[ROW][C]23[/C][C]-0.129075[/C][C]-1.5272[/C][C]0.93552[/C][/ROW]
[ROW][C]24[/C][C]-0.089721[/C][C]-1.0616[/C][C]0.854875[/C][/ROW]
[ROW][C]25[/C][C]0.090557[/C][C]1.0715[/C][C]0.142898[/C][/ROW]
[ROW][C]26[/C][C]-0.113493[/C][C]-1.3429[/C][C]0.909257[/C][/ROW]
[ROW][C]27[/C][C]-0.054996[/C][C]-0.6507[/C][C]0.741855[/C][/ROW]
[ROW][C]28[/C][C]-0.039704[/C][C]-0.4698[/C][C]0.680379[/C][/ROW]
[ROW][C]29[/C][C]-0.010115[/C][C]-0.1197[/C][C]0.547546[/C][/ROW]
[ROW][C]30[/C][C]0.039773[/C][C]0.4706[/C][C]0.319328[/C][/ROW]
[ROW][C]31[/C][C]0.009936[/C][C]0.1176[/C][C]0.453289[/C][/ROW]
[ROW][C]32[/C][C]-0.102078[/C][C]-1.2078[/C][C]0.88542[/C][/ROW]
[ROW][C]33[/C][C]-0.037497[/C][C]-0.4437[/C][C]0.671019[/C][/ROW]
[ROW][C]34[/C][C]-0.001002[/C][C]-0.0119[/C][C]0.504722[/C][/ROW]
[ROW][C]35[/C][C]0.114683[/C][C]1.3569[/C][C]0.088491[/C][/ROW]
[ROW][C]36[/C][C]-0.097996[/C][C]-1.1595[/C][C]0.875888[/C][/ROW]
[ROW][C]37[/C][C]-0.111591[/C][C]-1.3204[/C][C]0.905565[/C][/ROW]
[ROW][C]38[/C][C]-0.021605[/C][C]-0.2556[/C][C]0.600696[/C][/ROW]
[ROW][C]39[/C][C]0.068866[/C][C]0.8148[/C][C]0.208277[/C][/ROW]
[ROW][C]40[/C][C]-0.013055[/C][C]-0.1545[/C][C]0.561269[/C][/ROW]
[ROW][C]41[/C][C]0.077618[/C][C]0.9184[/C][C]0.179998[/C][/ROW]
[ROW][C]42[/C][C]0.040705[/C][C]0.4816[/C][C]0.315412[/C][/ROW]
[ROW][C]43[/C][C]0.110012[/C][C]1.3017[/C][C]0.097581[/C][/ROW]
[ROW][C]44[/C][C]-0.02134[/C][C]-0.2525[/C][C]0.599487[/C][/ROW]
[ROW][C]45[/C][C]-0.031619[/C][C]-0.3741[/C][C]0.645562[/C][/ROW]
[ROW][C]46[/C][C]0.018472[/C][C]0.2186[/C][C]0.413654[/C][/ROW]
[ROW][C]47[/C][C]0.097402[/C][C]1.1525[/C][C]0.125546[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4741&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4741&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
00.3615434.27781.7e-05
1-0.12211-1.44480.924629
2-0.011114-0.13150.552217
30.0360220.42620.335303
4-0.115444-1.3660.912928
50.0051370.06080.475808
6-0.10669-1.26240.895542
70.0704180.83320.203078
8-0.17918-2.12010.982119
9-0.004324-0.05120.520364
100.1110581.31410.095489
11-0.046778-0.55350.709591
120.0712990.84360.20016
130.0405490.47980.316064
14-0.056044-0.66310.74583
150.0126630.14980.440559
16-0.03889-0.46020.67694
170.0964931.14170.127759
180.0118720.14050.444243
190.0395150.46760.320416
20-0.008443-0.09990.539718
210.1062331.2570.105431
22-0.055659-0.65860.744371
23-0.129075-1.52720.93552
24-0.089721-1.06160.854875
250.0905571.07150.142898
26-0.113493-1.34290.909257
27-0.054996-0.65070.741855
28-0.039704-0.46980.680379
29-0.010115-0.11970.547546
300.0397730.47060.319328
310.0099360.11760.453289
32-0.102078-1.20780.88542
33-0.037497-0.44370.671019
34-0.001002-0.01190.504722
350.1146831.35690.088491
36-0.097996-1.15950.875888
37-0.111591-1.32040.905565
38-0.021605-0.25560.600696
390.0688660.81480.208277
40-0.013055-0.15450.561269
410.0776180.91840.179998
420.0407050.48160.315412
430.1100121.30170.097581
44-0.02134-0.25250.599487
45-0.031619-0.37410.645562
460.0184720.21860.413654
470.0974021.15250.125546



Parameters (Session):
par1 = 48 ; par2 = 0.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 0.0 ; par3 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')