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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 15:29:21 -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/13/t1197584166gt2phwn9n37du4y.htm/, Retrieved Sun, 05 May 2024 15:05:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3757, Retrieved Sun, 05 May 2024 15:05:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF Graan] [2007-12-13 22:29:21] [c9d8ee5895a833fb052e96406e7c5875] [Current]
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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=3757&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=3757&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3757&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
10.3140353.71570.000146
2-0.047279-0.55940.711615
3-0.113225-1.33970.908743
40.0009260.0110.495638
5-0.060698-0.71820.763082
6-0.045432-0.53760.704132
7-0.077491-0.91690.819611
80.0360850.4270.335031
9-0.088219-1.04380.850817
10-0.076221-0.90190.81566
110.0366350.43350.332671
120.0259920.30750.379443
130.0252640.29890.382719
140.0715430.84650.199356
150.0355950.42120.337141
160.0108230.12810.449142
17-0.03013-0.35650.639
180.0687790.81380.208569
190.0679050.80350.211534
200.0170820.20210.420061
21-0.027853-0.32960.62889
220.1223711.44790.074938
230.0326810.38670.349785
24-0.14524-1.71850.956043
25-0.20831-2.46480.99254
260.0029730.03520.485994
27-0.041796-0.49450.689149
28-0.10965-1.29740.901686
29-0.104616-1.23780.891075
300.0070960.0840.466602
310.066410.78580.216665
320.0673360.79670.213478
33-0.017219-0.20370.580574
340.0121630.14390.442888
350.0012990.01540.49388
360.1043651.23490.109475
370.0422890.50040.3088
38-0.124495-1.4730.928508
39-0.178699-2.11440.981873
40-0.013769-0.16290.564593
41-0.029035-0.34360.63415
420.0477250.56470.286594
430.0607810.71920.236617
440.1545241.82840.034813
450.0646510.7650.222791
46-0.054133-0.64050.738557
47-0.113865-1.34730.909964

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 11.8322 & 0 \tabularnewline
1 & 0.314035 & 3.7157 & 0.000146 \tabularnewline
2 & -0.047279 & -0.5594 & 0.711615 \tabularnewline
3 & -0.113225 & -1.3397 & 0.908743 \tabularnewline
4 & 0.000926 & 0.011 & 0.495638 \tabularnewline
5 & -0.060698 & -0.7182 & 0.763082 \tabularnewline
6 & -0.045432 & -0.5376 & 0.704132 \tabularnewline
7 & -0.077491 & -0.9169 & 0.819611 \tabularnewline
8 & 0.036085 & 0.427 & 0.335031 \tabularnewline
9 & -0.088219 & -1.0438 & 0.850817 \tabularnewline
10 & -0.076221 & -0.9019 & 0.81566 \tabularnewline
11 & 0.036635 & 0.4335 & 0.332671 \tabularnewline
12 & 0.025992 & 0.3075 & 0.379443 \tabularnewline
13 & 0.025264 & 0.2989 & 0.382719 \tabularnewline
14 & 0.071543 & 0.8465 & 0.199356 \tabularnewline
15 & 0.035595 & 0.4212 & 0.337141 \tabularnewline
16 & 0.010823 & 0.1281 & 0.449142 \tabularnewline
17 & -0.03013 & -0.3565 & 0.639 \tabularnewline
18 & 0.068779 & 0.8138 & 0.208569 \tabularnewline
19 & 0.067905 & 0.8035 & 0.211534 \tabularnewline
20 & 0.017082 & 0.2021 & 0.420061 \tabularnewline
21 & -0.027853 & -0.3296 & 0.62889 \tabularnewline
22 & 0.122371 & 1.4479 & 0.074938 \tabularnewline
23 & 0.032681 & 0.3867 & 0.349785 \tabularnewline
24 & -0.14524 & -1.7185 & 0.956043 \tabularnewline
25 & -0.20831 & -2.4648 & 0.99254 \tabularnewline
26 & 0.002973 & 0.0352 & 0.485994 \tabularnewline
27 & -0.041796 & -0.4945 & 0.689149 \tabularnewline
28 & -0.10965 & -1.2974 & 0.901686 \tabularnewline
29 & -0.104616 & -1.2378 & 0.891075 \tabularnewline
30 & 0.007096 & 0.084 & 0.466602 \tabularnewline
31 & 0.06641 & 0.7858 & 0.216665 \tabularnewline
32 & 0.067336 & 0.7967 & 0.213478 \tabularnewline
33 & -0.017219 & -0.2037 & 0.580574 \tabularnewline
34 & 0.012163 & 0.1439 & 0.442888 \tabularnewline
35 & 0.001299 & 0.0154 & 0.49388 \tabularnewline
36 & 0.104365 & 1.2349 & 0.109475 \tabularnewline
37 & 0.042289 & 0.5004 & 0.3088 \tabularnewline
38 & -0.124495 & -1.473 & 0.928508 \tabularnewline
39 & -0.178699 & -2.1144 & 0.981873 \tabularnewline
40 & -0.013769 & -0.1629 & 0.564593 \tabularnewline
41 & -0.029035 & -0.3436 & 0.63415 \tabularnewline
42 & 0.047725 & 0.5647 & 0.286594 \tabularnewline
43 & 0.060781 & 0.7192 & 0.236617 \tabularnewline
44 & 0.154524 & 1.8284 & 0.034813 \tabularnewline
45 & 0.064651 & 0.765 & 0.222791 \tabularnewline
46 & -0.054133 & -0.6405 & 0.738557 \tabularnewline
47 & -0.113865 & -1.3473 & 0.909964 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3757&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]0.314035[/C][C]3.7157[/C][C]0.000146[/C][/ROW]
[ROW][C]2[/C][C]-0.047279[/C][C]-0.5594[/C][C]0.711615[/C][/ROW]
[ROW][C]3[/C][C]-0.113225[/C][C]-1.3397[/C][C]0.908743[/C][/ROW]
[ROW][C]4[/C][C]0.000926[/C][C]0.011[/C][C]0.495638[/C][/ROW]
[ROW][C]5[/C][C]-0.060698[/C][C]-0.7182[/C][C]0.763082[/C][/ROW]
[ROW][C]6[/C][C]-0.045432[/C][C]-0.5376[/C][C]0.704132[/C][/ROW]
[ROW][C]7[/C][C]-0.077491[/C][C]-0.9169[/C][C]0.819611[/C][/ROW]
[ROW][C]8[/C][C]0.036085[/C][C]0.427[/C][C]0.335031[/C][/ROW]
[ROW][C]9[/C][C]-0.088219[/C][C]-1.0438[/C][C]0.850817[/C][/ROW]
[ROW][C]10[/C][C]-0.076221[/C][C]-0.9019[/C][C]0.81566[/C][/ROW]
[ROW][C]11[/C][C]0.036635[/C][C]0.4335[/C][C]0.332671[/C][/ROW]
[ROW][C]12[/C][C]0.025992[/C][C]0.3075[/C][C]0.379443[/C][/ROW]
[ROW][C]13[/C][C]0.025264[/C][C]0.2989[/C][C]0.382719[/C][/ROW]
[ROW][C]14[/C][C]0.071543[/C][C]0.8465[/C][C]0.199356[/C][/ROW]
[ROW][C]15[/C][C]0.035595[/C][C]0.4212[/C][C]0.337141[/C][/ROW]
[ROW][C]16[/C][C]0.010823[/C][C]0.1281[/C][C]0.449142[/C][/ROW]
[ROW][C]17[/C][C]-0.03013[/C][C]-0.3565[/C][C]0.639[/C][/ROW]
[ROW][C]18[/C][C]0.068779[/C][C]0.8138[/C][C]0.208569[/C][/ROW]
[ROW][C]19[/C][C]0.067905[/C][C]0.8035[/C][C]0.211534[/C][/ROW]
[ROW][C]20[/C][C]0.017082[/C][C]0.2021[/C][C]0.420061[/C][/ROW]
[ROW][C]21[/C][C]-0.027853[/C][C]-0.3296[/C][C]0.62889[/C][/ROW]
[ROW][C]22[/C][C]0.122371[/C][C]1.4479[/C][C]0.074938[/C][/ROW]
[ROW][C]23[/C][C]0.032681[/C][C]0.3867[/C][C]0.349785[/C][/ROW]
[ROW][C]24[/C][C]-0.14524[/C][C]-1.7185[/C][C]0.956043[/C][/ROW]
[ROW][C]25[/C][C]-0.20831[/C][C]-2.4648[/C][C]0.99254[/C][/ROW]
[ROW][C]26[/C][C]0.002973[/C][C]0.0352[/C][C]0.485994[/C][/ROW]
[ROW][C]27[/C][C]-0.041796[/C][C]-0.4945[/C][C]0.689149[/C][/ROW]
[ROW][C]28[/C][C]-0.10965[/C][C]-1.2974[/C][C]0.901686[/C][/ROW]
[ROW][C]29[/C][C]-0.104616[/C][C]-1.2378[/C][C]0.891075[/C][/ROW]
[ROW][C]30[/C][C]0.007096[/C][C]0.084[/C][C]0.466602[/C][/ROW]
[ROW][C]31[/C][C]0.06641[/C][C]0.7858[/C][C]0.216665[/C][/ROW]
[ROW][C]32[/C][C]0.067336[/C][C]0.7967[/C][C]0.213478[/C][/ROW]
[ROW][C]33[/C][C]-0.017219[/C][C]-0.2037[/C][C]0.580574[/C][/ROW]
[ROW][C]34[/C][C]0.012163[/C][C]0.1439[/C][C]0.442888[/C][/ROW]
[ROW][C]35[/C][C]0.001299[/C][C]0.0154[/C][C]0.49388[/C][/ROW]
[ROW][C]36[/C][C]0.104365[/C][C]1.2349[/C][C]0.109475[/C][/ROW]
[ROW][C]37[/C][C]0.042289[/C][C]0.5004[/C][C]0.3088[/C][/ROW]
[ROW][C]38[/C][C]-0.124495[/C][C]-1.473[/C][C]0.928508[/C][/ROW]
[ROW][C]39[/C][C]-0.178699[/C][C]-2.1144[/C][C]0.981873[/C][/ROW]
[ROW][C]40[/C][C]-0.013769[/C][C]-0.1629[/C][C]0.564593[/C][/ROW]
[ROW][C]41[/C][C]-0.029035[/C][C]-0.3436[/C][C]0.63415[/C][/ROW]
[ROW][C]42[/C][C]0.047725[/C][C]0.5647[/C][C]0.286594[/C][/ROW]
[ROW][C]43[/C][C]0.060781[/C][C]0.7192[/C][C]0.236617[/C][/ROW]
[ROW][C]44[/C][C]0.154524[/C][C]1.8284[/C][C]0.034813[/C][/ROW]
[ROW][C]45[/C][C]0.064651[/C][C]0.765[/C][C]0.222791[/C][/ROW]
[ROW][C]46[/C][C]-0.054133[/C][C]-0.6405[/C][C]0.738557[/C][/ROW]
[ROW][C]47[/C][C]-0.113865[/C][C]-1.3473[/C][C]0.909964[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3757&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3757&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
10.3140353.71570.000146
2-0.047279-0.55940.711615
3-0.113225-1.33970.908743
40.0009260.0110.495638
5-0.060698-0.71820.763082
6-0.045432-0.53760.704132
7-0.077491-0.91690.819611
80.0360850.4270.335031
9-0.088219-1.04380.850817
10-0.076221-0.90190.81566
110.0366350.43350.332671
120.0259920.30750.379443
130.0252640.29890.382719
140.0715430.84650.199356
150.0355950.42120.337141
160.0108230.12810.449142
17-0.03013-0.35650.639
180.0687790.81380.208569
190.0679050.80350.211534
200.0170820.20210.420061
21-0.027853-0.32960.62889
220.1223711.44790.074938
230.0326810.38670.349785
24-0.14524-1.71850.956043
25-0.20831-2.46480.99254
260.0029730.03520.485994
27-0.041796-0.49450.689149
28-0.10965-1.29740.901686
29-0.104616-1.23780.891075
300.0070960.0840.466602
310.066410.78580.216665
320.0673360.79670.213478
33-0.017219-0.20370.580574
340.0121630.14390.442888
350.0012990.01540.49388
360.1043651.23490.109475
370.0422890.50040.3088
38-0.124495-1.4730.928508
39-0.178699-2.11440.981873
40-0.013769-0.16290.564593
41-0.029035-0.34360.63415
420.0477250.56470.286594
430.0607810.71920.236617
440.1545241.82840.034813
450.0646510.7650.222791
46-0.054133-0.64050.738557
47-0.113865-1.34730.909964







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3140353.71570.000146
1-0.16186-1.91510.971244
2-0.051432-0.60860.728096
30.0578920.6850.247243
4-0.112185-1.32740.90673
50.008030.0950.462222
6-0.076817-0.90890.817521
70.0750990.88860.187877
8-0.158155-1.87130.968305
9-0.003502-0.04140.516495
100.0777760.92030.179511
11-0.080487-0.95230.828715
120.0708740.83860.201564
130.043080.50970.305521
14-0.012285-0.14540.557681
150.0060560.07170.471487
16-0.02058-0.24350.596015
170.1209441.4310.077326
18-0.027567-0.32620.627611
190.0344360.40740.342151
200.0036020.04260.483032
210.1421311.68170.047427
22-0.042259-0.50.691074
23-0.155657-1.84180.966187
24-0.056475-0.66820.747454
250.0625950.74060.230077
26-0.129293-1.52980.93584
27-0.075001-0.88740.811814
28-0.029758-0.35210.637352
29-0.029352-0.34730.635553
300.0487880.57730.282344
310.0205430.24310.404152
32-0.084746-1.00270.841138
33-0.013136-0.15540.561645
340.0130570.15450.438722
350.1267491.49970.06797
36-0.082737-0.9790.835356
37-0.132272-1.56510.940087
38-0.03772-0.44630.671968
390.0458360.54230.294225
40-0.070782-0.83750.79813
410.0823860.97480.165668
420.0992581.17440.121107
430.0990311.17170.121644
44-0.022907-0.2710.606619
457.1e-058e-040.499668
46-0.006315-0.07470.529726
470.0999781.1830.119416

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.314035 & 3.7157 & 0.000146 \tabularnewline
1 & -0.16186 & -1.9151 & 0.971244 \tabularnewline
2 & -0.051432 & -0.6086 & 0.728096 \tabularnewline
3 & 0.057892 & 0.685 & 0.247243 \tabularnewline
4 & -0.112185 & -1.3274 & 0.90673 \tabularnewline
5 & 0.00803 & 0.095 & 0.462222 \tabularnewline
6 & -0.076817 & -0.9089 & 0.817521 \tabularnewline
7 & 0.075099 & 0.8886 & 0.187877 \tabularnewline
8 & -0.158155 & -1.8713 & 0.968305 \tabularnewline
9 & -0.003502 & -0.0414 & 0.516495 \tabularnewline
10 & 0.077776 & 0.9203 & 0.179511 \tabularnewline
11 & -0.080487 & -0.9523 & 0.828715 \tabularnewline
12 & 0.070874 & 0.8386 & 0.201564 \tabularnewline
13 & 0.04308 & 0.5097 & 0.305521 \tabularnewline
14 & -0.012285 & -0.1454 & 0.557681 \tabularnewline
15 & 0.006056 & 0.0717 & 0.471487 \tabularnewline
16 & -0.02058 & -0.2435 & 0.596015 \tabularnewline
17 & 0.120944 & 1.431 & 0.077326 \tabularnewline
18 & -0.027567 & -0.3262 & 0.627611 \tabularnewline
19 & 0.034436 & 0.4074 & 0.342151 \tabularnewline
20 & 0.003602 & 0.0426 & 0.483032 \tabularnewline
21 & 0.142131 & 1.6817 & 0.047427 \tabularnewline
22 & -0.042259 & -0.5 & 0.691074 \tabularnewline
23 & -0.155657 & -1.8418 & 0.966187 \tabularnewline
24 & -0.056475 & -0.6682 & 0.747454 \tabularnewline
25 & 0.062595 & 0.7406 & 0.230077 \tabularnewline
26 & -0.129293 & -1.5298 & 0.93584 \tabularnewline
27 & -0.075001 & -0.8874 & 0.811814 \tabularnewline
28 & -0.029758 & -0.3521 & 0.637352 \tabularnewline
29 & -0.029352 & -0.3473 & 0.635553 \tabularnewline
30 & 0.048788 & 0.5773 & 0.282344 \tabularnewline
31 & 0.020543 & 0.2431 & 0.404152 \tabularnewline
32 & -0.084746 & -1.0027 & 0.841138 \tabularnewline
33 & -0.013136 & -0.1554 & 0.561645 \tabularnewline
34 & 0.013057 & 0.1545 & 0.438722 \tabularnewline
35 & 0.126749 & 1.4997 & 0.06797 \tabularnewline
36 & -0.082737 & -0.979 & 0.835356 \tabularnewline
37 & -0.132272 & -1.5651 & 0.940087 \tabularnewline
38 & -0.03772 & -0.4463 & 0.671968 \tabularnewline
39 & 0.045836 & 0.5423 & 0.294225 \tabularnewline
40 & -0.070782 & -0.8375 & 0.79813 \tabularnewline
41 & 0.082386 & 0.9748 & 0.165668 \tabularnewline
42 & 0.099258 & 1.1744 & 0.121107 \tabularnewline
43 & 0.099031 & 1.1717 & 0.121644 \tabularnewline
44 & -0.022907 & -0.271 & 0.606619 \tabularnewline
45 & 7.1e-05 & 8e-04 & 0.499668 \tabularnewline
46 & -0.006315 & -0.0747 & 0.529726 \tabularnewline
47 & 0.099978 & 1.183 & 0.119416 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3757&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]0.314035[/C][C]3.7157[/C][C]0.000146[/C][/ROW]
[ROW][C]1[/C][C]-0.16186[/C][C]-1.9151[/C][C]0.971244[/C][/ROW]
[ROW][C]2[/C][C]-0.051432[/C][C]-0.6086[/C][C]0.728096[/C][/ROW]
[ROW][C]3[/C][C]0.057892[/C][C]0.685[/C][C]0.247243[/C][/ROW]
[ROW][C]4[/C][C]-0.112185[/C][C]-1.3274[/C][C]0.90673[/C][/ROW]
[ROW][C]5[/C][C]0.00803[/C][C]0.095[/C][C]0.462222[/C][/ROW]
[ROW][C]6[/C][C]-0.076817[/C][C]-0.9089[/C][C]0.817521[/C][/ROW]
[ROW][C]7[/C][C]0.075099[/C][C]0.8886[/C][C]0.187877[/C][/ROW]
[ROW][C]8[/C][C]-0.158155[/C][C]-1.8713[/C][C]0.968305[/C][/ROW]
[ROW][C]9[/C][C]-0.003502[/C][C]-0.0414[/C][C]0.516495[/C][/ROW]
[ROW][C]10[/C][C]0.077776[/C][C]0.9203[/C][C]0.179511[/C][/ROW]
[ROW][C]11[/C][C]-0.080487[/C][C]-0.9523[/C][C]0.828715[/C][/ROW]
[ROW][C]12[/C][C]0.070874[/C][C]0.8386[/C][C]0.201564[/C][/ROW]
[ROW][C]13[/C][C]0.04308[/C][C]0.5097[/C][C]0.305521[/C][/ROW]
[ROW][C]14[/C][C]-0.012285[/C][C]-0.1454[/C][C]0.557681[/C][/ROW]
[ROW][C]15[/C][C]0.006056[/C][C]0.0717[/C][C]0.471487[/C][/ROW]
[ROW][C]16[/C][C]-0.02058[/C][C]-0.2435[/C][C]0.596015[/C][/ROW]
[ROW][C]17[/C][C]0.120944[/C][C]1.431[/C][C]0.077326[/C][/ROW]
[ROW][C]18[/C][C]-0.027567[/C][C]-0.3262[/C][C]0.627611[/C][/ROW]
[ROW][C]19[/C][C]0.034436[/C][C]0.4074[/C][C]0.342151[/C][/ROW]
[ROW][C]20[/C][C]0.003602[/C][C]0.0426[/C][C]0.483032[/C][/ROW]
[ROW][C]21[/C][C]0.142131[/C][C]1.6817[/C][C]0.047427[/C][/ROW]
[ROW][C]22[/C][C]-0.042259[/C][C]-0.5[/C][C]0.691074[/C][/ROW]
[ROW][C]23[/C][C]-0.155657[/C][C]-1.8418[/C][C]0.966187[/C][/ROW]
[ROW][C]24[/C][C]-0.056475[/C][C]-0.6682[/C][C]0.747454[/C][/ROW]
[ROW][C]25[/C][C]0.062595[/C][C]0.7406[/C][C]0.230077[/C][/ROW]
[ROW][C]26[/C][C]-0.129293[/C][C]-1.5298[/C][C]0.93584[/C][/ROW]
[ROW][C]27[/C][C]-0.075001[/C][C]-0.8874[/C][C]0.811814[/C][/ROW]
[ROW][C]28[/C][C]-0.029758[/C][C]-0.3521[/C][C]0.637352[/C][/ROW]
[ROW][C]29[/C][C]-0.029352[/C][C]-0.3473[/C][C]0.635553[/C][/ROW]
[ROW][C]30[/C][C]0.048788[/C][C]0.5773[/C][C]0.282344[/C][/ROW]
[ROW][C]31[/C][C]0.020543[/C][C]0.2431[/C][C]0.404152[/C][/ROW]
[ROW][C]32[/C][C]-0.084746[/C][C]-1.0027[/C][C]0.841138[/C][/ROW]
[ROW][C]33[/C][C]-0.013136[/C][C]-0.1554[/C][C]0.561645[/C][/ROW]
[ROW][C]34[/C][C]0.013057[/C][C]0.1545[/C][C]0.438722[/C][/ROW]
[ROW][C]35[/C][C]0.126749[/C][C]1.4997[/C][C]0.06797[/C][/ROW]
[ROW][C]36[/C][C]-0.082737[/C][C]-0.979[/C][C]0.835356[/C][/ROW]
[ROW][C]37[/C][C]-0.132272[/C][C]-1.5651[/C][C]0.940087[/C][/ROW]
[ROW][C]38[/C][C]-0.03772[/C][C]-0.4463[/C][C]0.671968[/C][/ROW]
[ROW][C]39[/C][C]0.045836[/C][C]0.5423[/C][C]0.294225[/C][/ROW]
[ROW][C]40[/C][C]-0.070782[/C][C]-0.8375[/C][C]0.79813[/C][/ROW]
[ROW][C]41[/C][C]0.082386[/C][C]0.9748[/C][C]0.165668[/C][/ROW]
[ROW][C]42[/C][C]0.099258[/C][C]1.1744[/C][C]0.121107[/C][/ROW]
[ROW][C]43[/C][C]0.099031[/C][C]1.1717[/C][C]0.121644[/C][/ROW]
[ROW][C]44[/C][C]-0.022907[/C][C]-0.271[/C][C]0.606619[/C][/ROW]
[ROW][C]45[/C][C]7.1e-05[/C][C]8e-04[/C][C]0.499668[/C][/ROW]
[ROW][C]46[/C][C]-0.006315[/C][C]-0.0747[/C][C]0.529726[/C][/ROW]
[ROW][C]47[/C][C]0.099978[/C][C]1.183[/C][C]0.119416[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3757&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3757&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
00.3140353.71570.000146
1-0.16186-1.91510.971244
2-0.051432-0.60860.728096
30.0578920.6850.247243
4-0.112185-1.32740.90673
50.008030.0950.462222
6-0.076817-0.90890.817521
70.0750990.88860.187877
8-0.158155-1.87130.968305
9-0.003502-0.04140.516495
100.0777760.92030.179511
11-0.080487-0.95230.828715
120.0708740.83860.201564
130.043080.50970.305521
14-0.012285-0.14540.557681
150.0060560.07170.471487
16-0.02058-0.24350.596015
170.1209441.4310.077326
18-0.027567-0.32620.627611
190.0344360.40740.342151
200.0036020.04260.483032
210.1421311.68170.047427
22-0.042259-0.50.691074
23-0.155657-1.84180.966187
24-0.056475-0.66820.747454
250.0625950.74060.230077
26-0.129293-1.52980.93584
27-0.075001-0.88740.811814
28-0.029758-0.35210.637352
29-0.029352-0.34730.635553
300.0487880.57730.282344
310.0205430.24310.404152
32-0.084746-1.00270.841138
33-0.013136-0.15540.561645
340.0130570.15450.438722
350.1267491.49970.06797
36-0.082737-0.9790.835356
37-0.132272-1.56510.940087
38-0.03772-0.44630.671968
390.0458360.54230.294225
40-0.070782-0.83750.79813
410.0823860.97480.165668
420.0992581.17440.121107
430.0990311.17170.121644
44-0.022907-0.2710.606619
457.1e-058e-040.499668
46-0.006315-0.07470.529726
470.0999781.1830.119416



Parameters (Session):
par1 = 48 ; par2 = -1.3 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = -1.3 ; 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')