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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 11 May 2009 12:37:04 -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/11/t1242067063o36bgp37583vo56.htm/, Retrieved Fri, 03 May 2024 18:33:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39720, Retrieved Fri, 03 May 2024 18:33:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Ken Soltvedt eige...] [2009-05-11 18:37:04] [991c162fae1b779ae3c185368bfa1f53] [Current]
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Dataseries X:
3,42
3,42
3,43
3,47
3,51
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,58
3,6
3,61
3,61
3,61
3,63
3,68
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,78
3,79
3,79
3,8
3,8
3,8
3,8
3,81
3,95
3,99
4
4,06
4,16
4,19
4,2
4,2
4,2
4,2
4,2
4,23
4,38
4,43
4,44
4,44
4,44
4,44
4,44
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,46
4,46
4,46
4,48
4,58
4,67
4,68
4,68




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39720&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]3 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=39720&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39720&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9608358.1530
20.9175137.78540
30.8739387.41560
40.8364347.09740
50.8053816.83390
60.7751066.5770
70.7441026.31390
80.7120046.04160
90.6776195.74980
100.6411085.440
110.6034345.12031e-06
120.5638854.78474e-06
130.521214.42261.7e-05
140.4772774.04986.4e-05
150.4357653.69760.000211
160.3943993.34660.000651
170.3535272.99980.001854
180.3114392.64270.005043
190.267922.27340.012994
200.2229561.89180.031267
210.1773651.5050.068351
220.1313911.11490.134302
230.0876690.74390.22968
240.0520290.44150.330094
250.0177520.15060.440344
26-0.017237-0.14630.442062
27-0.053641-0.45520.325183
28-0.092189-0.78230.218316
29-0.132569-1.12490.132187
30-0.169488-1.43820.077361
31-0.205319-1.74220.042873
32-0.236795-2.00930.024129
33-0.265577-2.25350.013637
34-0.294692-2.50050.007339
35-0.322507-2.73660.003907
36-0.343184-2.9120.002389
37-0.363539-3.08470.001445
38-0.377803-3.20580.001005
39-0.390875-3.31670.000715
40-0.404543-3.43270.000497
41-0.415453-3.52520.00037
42-0.421577-3.57720.000313
43-0.425682-3.6120.000279
44-0.423888-3.59680.000294
45-0.422373-3.5840.000306
46-0.421544-3.57690.000313
47-0.421461-3.57620.000314
48-0.42189-3.57990.00031

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.960835 & 8.153 & 0 \tabularnewline
2 & 0.917513 & 7.7854 & 0 \tabularnewline
3 & 0.873938 & 7.4156 & 0 \tabularnewline
4 & 0.836434 & 7.0974 & 0 \tabularnewline
5 & 0.805381 & 6.8339 & 0 \tabularnewline
6 & 0.775106 & 6.577 & 0 \tabularnewline
7 & 0.744102 & 6.3139 & 0 \tabularnewline
8 & 0.712004 & 6.0416 & 0 \tabularnewline
9 & 0.677619 & 5.7498 & 0 \tabularnewline
10 & 0.641108 & 5.44 & 0 \tabularnewline
11 & 0.603434 & 5.1203 & 1e-06 \tabularnewline
12 & 0.563885 & 4.7847 & 4e-06 \tabularnewline
13 & 0.52121 & 4.4226 & 1.7e-05 \tabularnewline
14 & 0.477277 & 4.0498 & 6.4e-05 \tabularnewline
15 & 0.435765 & 3.6976 & 0.000211 \tabularnewline
16 & 0.394399 & 3.3466 & 0.000651 \tabularnewline
17 & 0.353527 & 2.9998 & 0.001854 \tabularnewline
18 & 0.311439 & 2.6427 & 0.005043 \tabularnewline
19 & 0.26792 & 2.2734 & 0.012994 \tabularnewline
20 & 0.222956 & 1.8918 & 0.031267 \tabularnewline
21 & 0.177365 & 1.505 & 0.068351 \tabularnewline
22 & 0.131391 & 1.1149 & 0.134302 \tabularnewline
23 & 0.087669 & 0.7439 & 0.22968 \tabularnewline
24 & 0.052029 & 0.4415 & 0.330094 \tabularnewline
25 & 0.017752 & 0.1506 & 0.440344 \tabularnewline
26 & -0.017237 & -0.1463 & 0.442062 \tabularnewline
27 & -0.053641 & -0.4552 & 0.325183 \tabularnewline
28 & -0.092189 & -0.7823 & 0.218316 \tabularnewline
29 & -0.132569 & -1.1249 & 0.132187 \tabularnewline
30 & -0.169488 & -1.4382 & 0.077361 \tabularnewline
31 & -0.205319 & -1.7422 & 0.042873 \tabularnewline
32 & -0.236795 & -2.0093 & 0.024129 \tabularnewline
33 & -0.265577 & -2.2535 & 0.013637 \tabularnewline
34 & -0.294692 & -2.5005 & 0.007339 \tabularnewline
35 & -0.322507 & -2.7366 & 0.003907 \tabularnewline
36 & -0.343184 & -2.912 & 0.002389 \tabularnewline
37 & -0.363539 & -3.0847 & 0.001445 \tabularnewline
38 & -0.377803 & -3.2058 & 0.001005 \tabularnewline
39 & -0.390875 & -3.3167 & 0.000715 \tabularnewline
40 & -0.404543 & -3.4327 & 0.000497 \tabularnewline
41 & -0.415453 & -3.5252 & 0.00037 \tabularnewline
42 & -0.421577 & -3.5772 & 0.000313 \tabularnewline
43 & -0.425682 & -3.612 & 0.000279 \tabularnewline
44 & -0.423888 & -3.5968 & 0.000294 \tabularnewline
45 & -0.422373 & -3.584 & 0.000306 \tabularnewline
46 & -0.421544 & -3.5769 & 0.000313 \tabularnewline
47 & -0.421461 & -3.5762 & 0.000314 \tabularnewline
48 & -0.42189 & -3.5799 & 0.00031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39720&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]0.960835[/C][C]8.153[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.917513[/C][C]7.7854[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.873938[/C][C]7.4156[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.836434[/C][C]7.0974[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.805381[/C][C]6.8339[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.775106[/C][C]6.577[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.744102[/C][C]6.3139[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.712004[/C][C]6.0416[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.677619[/C][C]5.7498[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.641108[/C][C]5.44[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.603434[/C][C]5.1203[/C][C]1e-06[/C][/ROW]
[ROW][C]12[/C][C]0.563885[/C][C]4.7847[/C][C]4e-06[/C][/ROW]
[ROW][C]13[/C][C]0.52121[/C][C]4.4226[/C][C]1.7e-05[/C][/ROW]
[ROW][C]14[/C][C]0.477277[/C][C]4.0498[/C][C]6.4e-05[/C][/ROW]
[ROW][C]15[/C][C]0.435765[/C][C]3.6976[/C][C]0.000211[/C][/ROW]
[ROW][C]16[/C][C]0.394399[/C][C]3.3466[/C][C]0.000651[/C][/ROW]
[ROW][C]17[/C][C]0.353527[/C][C]2.9998[/C][C]0.001854[/C][/ROW]
[ROW][C]18[/C][C]0.311439[/C][C]2.6427[/C][C]0.005043[/C][/ROW]
[ROW][C]19[/C][C]0.26792[/C][C]2.2734[/C][C]0.012994[/C][/ROW]
[ROW][C]20[/C][C]0.222956[/C][C]1.8918[/C][C]0.031267[/C][/ROW]
[ROW][C]21[/C][C]0.177365[/C][C]1.505[/C][C]0.068351[/C][/ROW]
[ROW][C]22[/C][C]0.131391[/C][C]1.1149[/C][C]0.134302[/C][/ROW]
[ROW][C]23[/C][C]0.087669[/C][C]0.7439[/C][C]0.22968[/C][/ROW]
[ROW][C]24[/C][C]0.052029[/C][C]0.4415[/C][C]0.330094[/C][/ROW]
[ROW][C]25[/C][C]0.017752[/C][C]0.1506[/C][C]0.440344[/C][/ROW]
[ROW][C]26[/C][C]-0.017237[/C][C]-0.1463[/C][C]0.442062[/C][/ROW]
[ROW][C]27[/C][C]-0.053641[/C][C]-0.4552[/C][C]0.325183[/C][/ROW]
[ROW][C]28[/C][C]-0.092189[/C][C]-0.7823[/C][C]0.218316[/C][/ROW]
[ROW][C]29[/C][C]-0.132569[/C][C]-1.1249[/C][C]0.132187[/C][/ROW]
[ROW][C]30[/C][C]-0.169488[/C][C]-1.4382[/C][C]0.077361[/C][/ROW]
[ROW][C]31[/C][C]-0.205319[/C][C]-1.7422[/C][C]0.042873[/C][/ROW]
[ROW][C]32[/C][C]-0.236795[/C][C]-2.0093[/C][C]0.024129[/C][/ROW]
[ROW][C]33[/C][C]-0.265577[/C][C]-2.2535[/C][C]0.013637[/C][/ROW]
[ROW][C]34[/C][C]-0.294692[/C][C]-2.5005[/C][C]0.007339[/C][/ROW]
[ROW][C]35[/C][C]-0.322507[/C][C]-2.7366[/C][C]0.003907[/C][/ROW]
[ROW][C]36[/C][C]-0.343184[/C][C]-2.912[/C][C]0.002389[/C][/ROW]
[ROW][C]37[/C][C]-0.363539[/C][C]-3.0847[/C][C]0.001445[/C][/ROW]
[ROW][C]38[/C][C]-0.377803[/C][C]-3.2058[/C][C]0.001005[/C][/ROW]
[ROW][C]39[/C][C]-0.390875[/C][C]-3.3167[/C][C]0.000715[/C][/ROW]
[ROW][C]40[/C][C]-0.404543[/C][C]-3.4327[/C][C]0.000497[/C][/ROW]
[ROW][C]41[/C][C]-0.415453[/C][C]-3.5252[/C][C]0.00037[/C][/ROW]
[ROW][C]42[/C][C]-0.421577[/C][C]-3.5772[/C][C]0.000313[/C][/ROW]
[ROW][C]43[/C][C]-0.425682[/C][C]-3.612[/C][C]0.000279[/C][/ROW]
[ROW][C]44[/C][C]-0.423888[/C][C]-3.5968[/C][C]0.000294[/C][/ROW]
[ROW][C]45[/C][C]-0.422373[/C][C]-3.584[/C][C]0.000306[/C][/ROW]
[ROW][C]46[/C][C]-0.421544[/C][C]-3.5769[/C][C]0.000313[/C][/ROW]
[ROW][C]47[/C][C]-0.421461[/C][C]-3.5762[/C][C]0.000314[/C][/ROW]
[ROW][C]48[/C][C]-0.42189[/C][C]-3.5799[/C][C]0.00031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39720&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39720&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
10.9608358.1530
20.9175137.78540
30.8739387.41560
40.8364347.09740
50.8053816.83390
60.7751066.5770
70.7441026.31390
80.7120046.04160
90.6776195.74980
100.6411085.440
110.6034345.12031e-06
120.5638854.78474e-06
130.521214.42261.7e-05
140.4772774.04986.4e-05
150.4357653.69760.000211
160.3943993.34660.000651
170.3535272.99980.001854
180.3114392.64270.005043
190.267922.27340.012994
200.2229561.89180.031267
210.1773651.5050.068351
220.1313911.11490.134302
230.0876690.74390.22968
240.0520290.44150.330094
250.0177520.15060.440344
26-0.017237-0.14630.442062
27-0.053641-0.45520.325183
28-0.092189-0.78230.218316
29-0.132569-1.12490.132187
30-0.169488-1.43820.077361
31-0.205319-1.74220.042873
32-0.236795-2.00930.024129
33-0.265577-2.25350.013637
34-0.294692-2.50050.007339
35-0.322507-2.73660.003907
36-0.343184-2.9120.002389
37-0.363539-3.08470.001445
38-0.377803-3.20580.001005
39-0.390875-3.31670.000715
40-0.404543-3.43270.000497
41-0.415453-3.52520.00037
42-0.421577-3.57720.000313
43-0.425682-3.6120.000279
44-0.423888-3.59680.000294
45-0.422373-3.5840.000306
46-0.421544-3.57690.000313
47-0.421461-3.57620.000314
48-0.42189-3.57990.00031







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9608358.1530
2-0.074121-0.62890.26569
3-0.023124-0.19620.422499
40.0564660.47910.316649
50.0559850.47510.318094
6-0.016283-0.13820.445248
7-0.022974-0.19490.422995
8-0.020096-0.17050.432538
9-0.041083-0.34860.364202
10-0.045974-0.39010.348807
11-0.036596-0.31050.378528
12-0.051156-0.43410.332768
13-0.071746-0.60880.272293
14-0.04701-0.39890.345576
15-0.001493-0.01270.494963
16-0.039764-0.33740.368394
17-0.032317-0.27420.392352
18-0.044545-0.3780.353279
19-0.044754-0.37970.352625
20-0.050287-0.42670.335434
21-0.042743-0.36270.358951
22-0.04495-0.38140.35201
23-0.014482-0.12290.451272
240.0636370.540.29544
25-0.02514-0.21330.415839
26-0.042471-0.36040.35981
27-0.035638-0.30240.381609
28-0.0467-0.39630.346541
29-0.060212-0.51090.305487
300.0029190.02480.490153
31-0.035428-0.30060.382287
320.0027710.02350.490652
33-0.011642-0.09880.46079
34-0.044099-0.37420.354682
35-0.02182-0.18510.426816
360.0571170.48470.314696
37-0.037159-0.31530.376722
380.0526740.4470.328126
39-0.006353-0.05390.478579
40-0.029148-0.24730.40268
410.0114540.09720.461422
420.0369460.31350.377405
43-0.013411-0.11380.454857
440.0493070.41840.338455
45-0.027193-0.23070.409087
46-0.019091-0.1620.435882
47-0.017274-0.14660.44194
48-0.032243-0.27360.392592

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.960835 & 8.153 & 0 \tabularnewline
2 & -0.074121 & -0.6289 & 0.26569 \tabularnewline
3 & -0.023124 & -0.1962 & 0.422499 \tabularnewline
4 & 0.056466 & 0.4791 & 0.316649 \tabularnewline
5 & 0.055985 & 0.4751 & 0.318094 \tabularnewline
6 & -0.016283 & -0.1382 & 0.445248 \tabularnewline
7 & -0.022974 & -0.1949 & 0.422995 \tabularnewline
8 & -0.020096 & -0.1705 & 0.432538 \tabularnewline
9 & -0.041083 & -0.3486 & 0.364202 \tabularnewline
10 & -0.045974 & -0.3901 & 0.348807 \tabularnewline
11 & -0.036596 & -0.3105 & 0.378528 \tabularnewline
12 & -0.051156 & -0.4341 & 0.332768 \tabularnewline
13 & -0.071746 & -0.6088 & 0.272293 \tabularnewline
14 & -0.04701 & -0.3989 & 0.345576 \tabularnewline
15 & -0.001493 & -0.0127 & 0.494963 \tabularnewline
16 & -0.039764 & -0.3374 & 0.368394 \tabularnewline
17 & -0.032317 & -0.2742 & 0.392352 \tabularnewline
18 & -0.044545 & -0.378 & 0.353279 \tabularnewline
19 & -0.044754 & -0.3797 & 0.352625 \tabularnewline
20 & -0.050287 & -0.4267 & 0.335434 \tabularnewline
21 & -0.042743 & -0.3627 & 0.358951 \tabularnewline
22 & -0.04495 & -0.3814 & 0.35201 \tabularnewline
23 & -0.014482 & -0.1229 & 0.451272 \tabularnewline
24 & 0.063637 & 0.54 & 0.29544 \tabularnewline
25 & -0.02514 & -0.2133 & 0.415839 \tabularnewline
26 & -0.042471 & -0.3604 & 0.35981 \tabularnewline
27 & -0.035638 & -0.3024 & 0.381609 \tabularnewline
28 & -0.0467 & -0.3963 & 0.346541 \tabularnewline
29 & -0.060212 & -0.5109 & 0.305487 \tabularnewline
30 & 0.002919 & 0.0248 & 0.490153 \tabularnewline
31 & -0.035428 & -0.3006 & 0.382287 \tabularnewline
32 & 0.002771 & 0.0235 & 0.490652 \tabularnewline
33 & -0.011642 & -0.0988 & 0.46079 \tabularnewline
34 & -0.044099 & -0.3742 & 0.354682 \tabularnewline
35 & -0.02182 & -0.1851 & 0.426816 \tabularnewline
36 & 0.057117 & 0.4847 & 0.314696 \tabularnewline
37 & -0.037159 & -0.3153 & 0.376722 \tabularnewline
38 & 0.052674 & 0.447 & 0.328126 \tabularnewline
39 & -0.006353 & -0.0539 & 0.478579 \tabularnewline
40 & -0.029148 & -0.2473 & 0.40268 \tabularnewline
41 & 0.011454 & 0.0972 & 0.461422 \tabularnewline
42 & 0.036946 & 0.3135 & 0.377405 \tabularnewline
43 & -0.013411 & -0.1138 & 0.454857 \tabularnewline
44 & 0.049307 & 0.4184 & 0.338455 \tabularnewline
45 & -0.027193 & -0.2307 & 0.409087 \tabularnewline
46 & -0.019091 & -0.162 & 0.435882 \tabularnewline
47 & -0.017274 & -0.1466 & 0.44194 \tabularnewline
48 & -0.032243 & -0.2736 & 0.392592 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39720&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]0.960835[/C][C]8.153[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.074121[/C][C]-0.6289[/C][C]0.26569[/C][/ROW]
[ROW][C]3[/C][C]-0.023124[/C][C]-0.1962[/C][C]0.422499[/C][/ROW]
[ROW][C]4[/C][C]0.056466[/C][C]0.4791[/C][C]0.316649[/C][/ROW]
[ROW][C]5[/C][C]0.055985[/C][C]0.4751[/C][C]0.318094[/C][/ROW]
[ROW][C]6[/C][C]-0.016283[/C][C]-0.1382[/C][C]0.445248[/C][/ROW]
[ROW][C]7[/C][C]-0.022974[/C][C]-0.1949[/C][C]0.422995[/C][/ROW]
[ROW][C]8[/C][C]-0.020096[/C][C]-0.1705[/C][C]0.432538[/C][/ROW]
[ROW][C]9[/C][C]-0.041083[/C][C]-0.3486[/C][C]0.364202[/C][/ROW]
[ROW][C]10[/C][C]-0.045974[/C][C]-0.3901[/C][C]0.348807[/C][/ROW]
[ROW][C]11[/C][C]-0.036596[/C][C]-0.3105[/C][C]0.378528[/C][/ROW]
[ROW][C]12[/C][C]-0.051156[/C][C]-0.4341[/C][C]0.332768[/C][/ROW]
[ROW][C]13[/C][C]-0.071746[/C][C]-0.6088[/C][C]0.272293[/C][/ROW]
[ROW][C]14[/C][C]-0.04701[/C][C]-0.3989[/C][C]0.345576[/C][/ROW]
[ROW][C]15[/C][C]-0.001493[/C][C]-0.0127[/C][C]0.494963[/C][/ROW]
[ROW][C]16[/C][C]-0.039764[/C][C]-0.3374[/C][C]0.368394[/C][/ROW]
[ROW][C]17[/C][C]-0.032317[/C][C]-0.2742[/C][C]0.392352[/C][/ROW]
[ROW][C]18[/C][C]-0.044545[/C][C]-0.378[/C][C]0.353279[/C][/ROW]
[ROW][C]19[/C][C]-0.044754[/C][C]-0.3797[/C][C]0.352625[/C][/ROW]
[ROW][C]20[/C][C]-0.050287[/C][C]-0.4267[/C][C]0.335434[/C][/ROW]
[ROW][C]21[/C][C]-0.042743[/C][C]-0.3627[/C][C]0.358951[/C][/ROW]
[ROW][C]22[/C][C]-0.04495[/C][C]-0.3814[/C][C]0.35201[/C][/ROW]
[ROW][C]23[/C][C]-0.014482[/C][C]-0.1229[/C][C]0.451272[/C][/ROW]
[ROW][C]24[/C][C]0.063637[/C][C]0.54[/C][C]0.29544[/C][/ROW]
[ROW][C]25[/C][C]-0.02514[/C][C]-0.2133[/C][C]0.415839[/C][/ROW]
[ROW][C]26[/C][C]-0.042471[/C][C]-0.3604[/C][C]0.35981[/C][/ROW]
[ROW][C]27[/C][C]-0.035638[/C][C]-0.3024[/C][C]0.381609[/C][/ROW]
[ROW][C]28[/C][C]-0.0467[/C][C]-0.3963[/C][C]0.346541[/C][/ROW]
[ROW][C]29[/C][C]-0.060212[/C][C]-0.5109[/C][C]0.305487[/C][/ROW]
[ROW][C]30[/C][C]0.002919[/C][C]0.0248[/C][C]0.490153[/C][/ROW]
[ROW][C]31[/C][C]-0.035428[/C][C]-0.3006[/C][C]0.382287[/C][/ROW]
[ROW][C]32[/C][C]0.002771[/C][C]0.0235[/C][C]0.490652[/C][/ROW]
[ROW][C]33[/C][C]-0.011642[/C][C]-0.0988[/C][C]0.46079[/C][/ROW]
[ROW][C]34[/C][C]-0.044099[/C][C]-0.3742[/C][C]0.354682[/C][/ROW]
[ROW][C]35[/C][C]-0.02182[/C][C]-0.1851[/C][C]0.426816[/C][/ROW]
[ROW][C]36[/C][C]0.057117[/C][C]0.4847[/C][C]0.314696[/C][/ROW]
[ROW][C]37[/C][C]-0.037159[/C][C]-0.3153[/C][C]0.376722[/C][/ROW]
[ROW][C]38[/C][C]0.052674[/C][C]0.447[/C][C]0.328126[/C][/ROW]
[ROW][C]39[/C][C]-0.006353[/C][C]-0.0539[/C][C]0.478579[/C][/ROW]
[ROW][C]40[/C][C]-0.029148[/C][C]-0.2473[/C][C]0.40268[/C][/ROW]
[ROW][C]41[/C][C]0.011454[/C][C]0.0972[/C][C]0.461422[/C][/ROW]
[ROW][C]42[/C][C]0.036946[/C][C]0.3135[/C][C]0.377405[/C][/ROW]
[ROW][C]43[/C][C]-0.013411[/C][C]-0.1138[/C][C]0.454857[/C][/ROW]
[ROW][C]44[/C][C]0.049307[/C][C]0.4184[/C][C]0.338455[/C][/ROW]
[ROW][C]45[/C][C]-0.027193[/C][C]-0.2307[/C][C]0.409087[/C][/ROW]
[ROW][C]46[/C][C]-0.019091[/C][C]-0.162[/C][C]0.435882[/C][/ROW]
[ROW][C]47[/C][C]-0.017274[/C][C]-0.1466[/C][C]0.44194[/C][/ROW]
[ROW][C]48[/C][C]-0.032243[/C][C]-0.2736[/C][C]0.392592[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39720&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39720&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
10.9608358.1530
2-0.074121-0.62890.26569
3-0.023124-0.19620.422499
40.0564660.47910.316649
50.0559850.47510.318094
6-0.016283-0.13820.445248
7-0.022974-0.19490.422995
8-0.020096-0.17050.432538
9-0.041083-0.34860.364202
10-0.045974-0.39010.348807
11-0.036596-0.31050.378528
12-0.051156-0.43410.332768
13-0.071746-0.60880.272293
14-0.04701-0.39890.345576
15-0.001493-0.01270.494963
16-0.039764-0.33740.368394
17-0.032317-0.27420.392352
18-0.044545-0.3780.353279
19-0.044754-0.37970.352625
20-0.050287-0.42670.335434
21-0.042743-0.36270.358951
22-0.04495-0.38140.35201
23-0.014482-0.12290.451272
240.0636370.540.29544
25-0.02514-0.21330.415839
26-0.042471-0.36040.35981
27-0.035638-0.30240.381609
28-0.0467-0.39630.346541
29-0.060212-0.51090.305487
300.0029190.02480.490153
31-0.035428-0.30060.382287
320.0027710.02350.490652
33-0.011642-0.09880.46079
34-0.044099-0.37420.354682
35-0.02182-0.18510.426816
360.0571170.48470.314696
37-0.037159-0.31530.376722
380.0526740.4470.328126
39-0.006353-0.05390.478579
40-0.029148-0.24730.40268
410.0114540.09720.461422
420.0369460.31350.377405
43-0.013411-0.11380.454857
440.0493070.41840.338455
45-0.027193-0.23070.409087
46-0.019091-0.1620.435882
47-0.017274-0.14660.44194
48-0.032243-0.27360.392592



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')