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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 02 Dec 2007 12:31:04 -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/02/t11966234670couz0a3tzyvnrp.htm/, Retrieved Sun, 28 Apr 2024 13:18:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2286, Retrieved Sun, 28 Apr 2024 13:18:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact294
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF werkloosheid] [2007-12-02 19:31:04] [89d26cd0a44959d9c8b169f34617598a] [Current]
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Dataseries X:
7.6
7.7
7.6
8.2
8
8.1
8.3
8.2
8.1
7.7
7.6
7.7
8.2
8.4
8.4
8.6
8.4
8.5
8.7
8.7
8.6
7.4
7.3
7.4
9
9.2
9.2
8.5
8.3
8.3
8.6
8.6
8.5
8.1
8.1
8
8.6
8.7
8.7
8.6
8.4
8.4
8.7
8.7
8.5
8.3
8.3
8.3
8.1
8.2
8.1
8.1
7.9
7.7
8.1
8
7.7
7.8
7.6
7.4
7.7




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=2286&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=2286&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2286&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
017.81020
10.6728185.25491e-06
20.2720972.12510.018816
3-0.066092-0.51620.696209
4-0.034108-0.26640.604581
50.1084420.8470.200165
60.2198511.71710.045518
70.1624141.26850.104721
80.0245980.19210.424144
9-0.027037-0.21120.583268
100.0817550.63850.262761
110.2293721.79150.03909
120.3094742.41710.009326
130.1295371.01170.157835
14-0.100968-0.78860.783296
15-0.294309-2.29860.987517
16-0.277278-2.16560.98287
17-0.156357-1.22120.886643
18-0.048867-0.38170.647982
19-0.030854-0.2410.594808
20-0.09063-0.70780.759131
21-0.070194-0.54820.707232
22-0.089732-0.70080.756963
23-0.064504-0.50380.69189
24-0.090772-0.7090.759473
25-0.087907-0.68660.752524
26-0.140054-1.09390.860841
27-0.1643-1.28320.897867
28-0.189585-1.48070.928084
29-0.154-1.20280.883146
30-0.11332-0.88510.810199
31-0.115633-0.90310.814994
32-0.170397-1.33080.905904
33-0.18887-1.47510.927338
34-0.174456-1.36250.910983
35-0.102413-0.79990.786556
36-0.042223-0.32980.62865
37-0.007262-0.05670.522521
38-0.058024-0.45320.673987
39-0.108814-0.84990.800638
40-0.149469-1.16740.876201
41-0.1341-1.04740.850465
42-0.099277-0.77540.779443
43-0.060992-0.47640.68224
44-0.037121-0.28990.613572
45-0.013334-0.10410.541299
460.0273470.21360.415791
470.0612150.47810.317144

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.8102 & 0 \tabularnewline
1 & 0.672818 & 5.2549 & 1e-06 \tabularnewline
2 & 0.272097 & 2.1251 & 0.018816 \tabularnewline
3 & -0.066092 & -0.5162 & 0.696209 \tabularnewline
4 & -0.034108 & -0.2664 & 0.604581 \tabularnewline
5 & 0.108442 & 0.847 & 0.200165 \tabularnewline
6 & 0.219851 & 1.7171 & 0.045518 \tabularnewline
7 & 0.162414 & 1.2685 & 0.104721 \tabularnewline
8 & 0.024598 & 0.1921 & 0.424144 \tabularnewline
9 & -0.027037 & -0.2112 & 0.583268 \tabularnewline
10 & 0.081755 & 0.6385 & 0.262761 \tabularnewline
11 & 0.229372 & 1.7915 & 0.03909 \tabularnewline
12 & 0.309474 & 2.4171 & 0.009326 \tabularnewline
13 & 0.129537 & 1.0117 & 0.157835 \tabularnewline
14 & -0.100968 & -0.7886 & 0.783296 \tabularnewline
15 & -0.294309 & -2.2986 & 0.987517 \tabularnewline
16 & -0.277278 & -2.1656 & 0.98287 \tabularnewline
17 & -0.156357 & -1.2212 & 0.886643 \tabularnewline
18 & -0.048867 & -0.3817 & 0.647982 \tabularnewline
19 & -0.030854 & -0.241 & 0.594808 \tabularnewline
20 & -0.09063 & -0.7078 & 0.759131 \tabularnewline
21 & -0.070194 & -0.5482 & 0.707232 \tabularnewline
22 & -0.089732 & -0.7008 & 0.756963 \tabularnewline
23 & -0.064504 & -0.5038 & 0.69189 \tabularnewline
24 & -0.090772 & -0.709 & 0.759473 \tabularnewline
25 & -0.087907 & -0.6866 & 0.752524 \tabularnewline
26 & -0.140054 & -1.0939 & 0.860841 \tabularnewline
27 & -0.1643 & -1.2832 & 0.897867 \tabularnewline
28 & -0.189585 & -1.4807 & 0.928084 \tabularnewline
29 & -0.154 & -1.2028 & 0.883146 \tabularnewline
30 & -0.11332 & -0.8851 & 0.810199 \tabularnewline
31 & -0.115633 & -0.9031 & 0.814994 \tabularnewline
32 & -0.170397 & -1.3308 & 0.905904 \tabularnewline
33 & -0.18887 & -1.4751 & 0.927338 \tabularnewline
34 & -0.174456 & -1.3625 & 0.910983 \tabularnewline
35 & -0.102413 & -0.7999 & 0.786556 \tabularnewline
36 & -0.042223 & -0.3298 & 0.62865 \tabularnewline
37 & -0.007262 & -0.0567 & 0.522521 \tabularnewline
38 & -0.058024 & -0.4532 & 0.673987 \tabularnewline
39 & -0.108814 & -0.8499 & 0.800638 \tabularnewline
40 & -0.149469 & -1.1674 & 0.876201 \tabularnewline
41 & -0.1341 & -1.0474 & 0.850465 \tabularnewline
42 & -0.099277 & -0.7754 & 0.779443 \tabularnewline
43 & -0.060992 & -0.4764 & 0.68224 \tabularnewline
44 & -0.037121 & -0.2899 & 0.613572 \tabularnewline
45 & -0.013334 & -0.1041 & 0.541299 \tabularnewline
46 & 0.027347 & 0.2136 & 0.415791 \tabularnewline
47 & 0.061215 & 0.4781 & 0.317144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2286&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]7.8102[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.672818[/C][C]5.2549[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.272097[/C][C]2.1251[/C][C]0.018816[/C][/ROW]
[ROW][C]3[/C][C]-0.066092[/C][C]-0.5162[/C][C]0.696209[/C][/ROW]
[ROW][C]4[/C][C]-0.034108[/C][C]-0.2664[/C][C]0.604581[/C][/ROW]
[ROW][C]5[/C][C]0.108442[/C][C]0.847[/C][C]0.200165[/C][/ROW]
[ROW][C]6[/C][C]0.219851[/C][C]1.7171[/C][C]0.045518[/C][/ROW]
[ROW][C]7[/C][C]0.162414[/C][C]1.2685[/C][C]0.104721[/C][/ROW]
[ROW][C]8[/C][C]0.024598[/C][C]0.1921[/C][C]0.424144[/C][/ROW]
[ROW][C]9[/C][C]-0.027037[/C][C]-0.2112[/C][C]0.583268[/C][/ROW]
[ROW][C]10[/C][C]0.081755[/C][C]0.6385[/C][C]0.262761[/C][/ROW]
[ROW][C]11[/C][C]0.229372[/C][C]1.7915[/C][C]0.03909[/C][/ROW]
[ROW][C]12[/C][C]0.309474[/C][C]2.4171[/C][C]0.009326[/C][/ROW]
[ROW][C]13[/C][C]0.129537[/C][C]1.0117[/C][C]0.157835[/C][/ROW]
[ROW][C]14[/C][C]-0.100968[/C][C]-0.7886[/C][C]0.783296[/C][/ROW]
[ROW][C]15[/C][C]-0.294309[/C][C]-2.2986[/C][C]0.987517[/C][/ROW]
[ROW][C]16[/C][C]-0.277278[/C][C]-2.1656[/C][C]0.98287[/C][/ROW]
[ROW][C]17[/C][C]-0.156357[/C][C]-1.2212[/C][C]0.886643[/C][/ROW]
[ROW][C]18[/C][C]-0.048867[/C][C]-0.3817[/C][C]0.647982[/C][/ROW]
[ROW][C]19[/C][C]-0.030854[/C][C]-0.241[/C][C]0.594808[/C][/ROW]
[ROW][C]20[/C][C]-0.09063[/C][C]-0.7078[/C][C]0.759131[/C][/ROW]
[ROW][C]21[/C][C]-0.070194[/C][C]-0.5482[/C][C]0.707232[/C][/ROW]
[ROW][C]22[/C][C]-0.089732[/C][C]-0.7008[/C][C]0.756963[/C][/ROW]
[ROW][C]23[/C][C]-0.064504[/C][C]-0.5038[/C][C]0.69189[/C][/ROW]
[ROW][C]24[/C][C]-0.090772[/C][C]-0.709[/C][C]0.759473[/C][/ROW]
[ROW][C]25[/C][C]-0.087907[/C][C]-0.6866[/C][C]0.752524[/C][/ROW]
[ROW][C]26[/C][C]-0.140054[/C][C]-1.0939[/C][C]0.860841[/C][/ROW]
[ROW][C]27[/C][C]-0.1643[/C][C]-1.2832[/C][C]0.897867[/C][/ROW]
[ROW][C]28[/C][C]-0.189585[/C][C]-1.4807[/C][C]0.928084[/C][/ROW]
[ROW][C]29[/C][C]-0.154[/C][C]-1.2028[/C][C]0.883146[/C][/ROW]
[ROW][C]30[/C][C]-0.11332[/C][C]-0.8851[/C][C]0.810199[/C][/ROW]
[ROW][C]31[/C][C]-0.115633[/C][C]-0.9031[/C][C]0.814994[/C][/ROW]
[ROW][C]32[/C][C]-0.170397[/C][C]-1.3308[/C][C]0.905904[/C][/ROW]
[ROW][C]33[/C][C]-0.18887[/C][C]-1.4751[/C][C]0.927338[/C][/ROW]
[ROW][C]34[/C][C]-0.174456[/C][C]-1.3625[/C][C]0.910983[/C][/ROW]
[ROW][C]35[/C][C]-0.102413[/C][C]-0.7999[/C][C]0.786556[/C][/ROW]
[ROW][C]36[/C][C]-0.042223[/C][C]-0.3298[/C][C]0.62865[/C][/ROW]
[ROW][C]37[/C][C]-0.007262[/C][C]-0.0567[/C][C]0.522521[/C][/ROW]
[ROW][C]38[/C][C]-0.058024[/C][C]-0.4532[/C][C]0.673987[/C][/ROW]
[ROW][C]39[/C][C]-0.108814[/C][C]-0.8499[/C][C]0.800638[/C][/ROW]
[ROW][C]40[/C][C]-0.149469[/C][C]-1.1674[/C][C]0.876201[/C][/ROW]
[ROW][C]41[/C][C]-0.1341[/C][C]-1.0474[/C][C]0.850465[/C][/ROW]
[ROW][C]42[/C][C]-0.099277[/C][C]-0.7754[/C][C]0.779443[/C][/ROW]
[ROW][C]43[/C][C]-0.060992[/C][C]-0.4764[/C][C]0.68224[/C][/ROW]
[ROW][C]44[/C][C]-0.037121[/C][C]-0.2899[/C][C]0.613572[/C][/ROW]
[ROW][C]45[/C][C]-0.013334[/C][C]-0.1041[/C][C]0.541299[/C][/ROW]
[ROW][C]46[/C][C]0.027347[/C][C]0.2136[/C][C]0.415791[/C][/ROW]
[ROW][C]47[/C][C]0.061215[/C][C]0.4781[/C][C]0.317144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2286&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2286&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
017.81020
10.6728185.25491e-06
20.2720972.12510.018816
3-0.066092-0.51620.696209
4-0.034108-0.26640.604581
50.1084420.8470.200165
60.2198511.71710.045518
70.1624141.26850.104721
80.0245980.19210.424144
9-0.027037-0.21120.583268
100.0817550.63850.262761
110.2293721.79150.03909
120.3094742.41710.009326
130.1295371.01170.157835
14-0.100968-0.78860.783296
15-0.294309-2.29860.987517
16-0.277278-2.16560.98287
17-0.156357-1.22120.886643
18-0.048867-0.38170.647982
19-0.030854-0.2410.594808
20-0.09063-0.70780.759131
21-0.070194-0.54820.707232
22-0.089732-0.70080.756963
23-0.064504-0.50380.69189
24-0.090772-0.7090.759473
25-0.087907-0.68660.752524
26-0.140054-1.09390.860841
27-0.1643-1.28320.897867
28-0.189585-1.48070.928084
29-0.154-1.20280.883146
30-0.11332-0.88510.810199
31-0.115633-0.90310.814994
32-0.170397-1.33080.905904
33-0.18887-1.47510.927338
34-0.174456-1.36250.910983
35-0.102413-0.79990.786556
36-0.042223-0.32980.62865
37-0.007262-0.05670.522521
38-0.058024-0.45320.673987
39-0.108814-0.84990.800638
40-0.149469-1.16740.876201
41-0.1341-1.04740.850465
42-0.099277-0.77540.779443
43-0.060992-0.47640.68224
44-0.037121-0.28990.613572
45-0.013334-0.10410.541299
460.0273470.21360.415791
470.0612150.47810.317144







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.6728185.25491e-06
1-0.329951-2.5770.9938
2-0.179551-1.40230.917058
30.3982663.11060.001419
40.0103010.08050.46807
5-0.07029-0.5490.707489
60.0127930.09990.460368
7-0.038341-0.29950.617194
80.1233510.96340.169575
90.1776561.38750.085163
10-0.000691-0.00540.502144
110.0860180.67180.252118
12-0.268382-2.09610.979887
13-0.060452-0.47210.680746
14-0.069624-0.54380.705713
15-0.132719-1.03660.847986
160.0090250.07050.472018
17-0.07969-0.62240.732001
180.0093340.07290.47106
190.0140410.10970.456517
200.1092110.8530.198508
21-0.256817-2.00580.975341
220.0190160.14850.441213
230.030920.24150.404991
240.0686080.53580.297006
25-0.078863-0.61590.729886
260.0061520.04810.480917
27-0.071143-0.55560.709758
280.0001980.00150.499387
29-0.043043-0.33620.631055
30-0.234249-1.82950.963897
31-0.066107-0.51630.696249
32-0.039585-0.30920.620876
330.0480080.3750.354497
34-0.004819-0.03760.51495
350.06330.49440.311405
36-0.065915-0.51480.695727
37-0.064091-0.50060.69076
38-0.029156-0.22770.589687
39-0.030818-0.24070.5947
40-0.047229-0.36890.643248
41-0.108207-0.84510.799327
420.1074780.83940.202253
430.0362530.28310.389012
440.0405260.31650.376344
45-0.09193-0.7180.76225
46-0.056854-0.4440.670708
470.0072840.05690.477409

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.672818 & 5.2549 & 1e-06 \tabularnewline
1 & -0.329951 & -2.577 & 0.9938 \tabularnewline
2 & -0.179551 & -1.4023 & 0.917058 \tabularnewline
3 & 0.398266 & 3.1106 & 0.001419 \tabularnewline
4 & 0.010301 & 0.0805 & 0.46807 \tabularnewline
5 & -0.07029 & -0.549 & 0.707489 \tabularnewline
6 & 0.012793 & 0.0999 & 0.460368 \tabularnewline
7 & -0.038341 & -0.2995 & 0.617194 \tabularnewline
8 & 0.123351 & 0.9634 & 0.169575 \tabularnewline
9 & 0.177656 & 1.3875 & 0.085163 \tabularnewline
10 & -0.000691 & -0.0054 & 0.502144 \tabularnewline
11 & 0.086018 & 0.6718 & 0.252118 \tabularnewline
12 & -0.268382 & -2.0961 & 0.979887 \tabularnewline
13 & -0.060452 & -0.4721 & 0.680746 \tabularnewline
14 & -0.069624 & -0.5438 & 0.705713 \tabularnewline
15 & -0.132719 & -1.0366 & 0.847986 \tabularnewline
16 & 0.009025 & 0.0705 & 0.472018 \tabularnewline
17 & -0.07969 & -0.6224 & 0.732001 \tabularnewline
18 & 0.009334 & 0.0729 & 0.47106 \tabularnewline
19 & 0.014041 & 0.1097 & 0.456517 \tabularnewline
20 & 0.109211 & 0.853 & 0.198508 \tabularnewline
21 & -0.256817 & -2.0058 & 0.975341 \tabularnewline
22 & 0.019016 & 0.1485 & 0.441213 \tabularnewline
23 & 0.03092 & 0.2415 & 0.404991 \tabularnewline
24 & 0.068608 & 0.5358 & 0.297006 \tabularnewline
25 & -0.078863 & -0.6159 & 0.729886 \tabularnewline
26 & 0.006152 & 0.0481 & 0.480917 \tabularnewline
27 & -0.071143 & -0.5556 & 0.709758 \tabularnewline
28 & 0.000198 & 0.0015 & 0.499387 \tabularnewline
29 & -0.043043 & -0.3362 & 0.631055 \tabularnewline
30 & -0.234249 & -1.8295 & 0.963897 \tabularnewline
31 & -0.066107 & -0.5163 & 0.696249 \tabularnewline
32 & -0.039585 & -0.3092 & 0.620876 \tabularnewline
33 & 0.048008 & 0.375 & 0.354497 \tabularnewline
34 & -0.004819 & -0.0376 & 0.51495 \tabularnewline
35 & 0.0633 & 0.4944 & 0.311405 \tabularnewline
36 & -0.065915 & -0.5148 & 0.695727 \tabularnewline
37 & -0.064091 & -0.5006 & 0.69076 \tabularnewline
38 & -0.029156 & -0.2277 & 0.589687 \tabularnewline
39 & -0.030818 & -0.2407 & 0.5947 \tabularnewline
40 & -0.047229 & -0.3689 & 0.643248 \tabularnewline
41 & -0.108207 & -0.8451 & 0.799327 \tabularnewline
42 & 0.107478 & 0.8394 & 0.202253 \tabularnewline
43 & 0.036253 & 0.2831 & 0.389012 \tabularnewline
44 & 0.040526 & 0.3165 & 0.376344 \tabularnewline
45 & -0.09193 & -0.718 & 0.76225 \tabularnewline
46 & -0.056854 & -0.444 & 0.670708 \tabularnewline
47 & 0.007284 & 0.0569 & 0.477409 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2286&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]0.672818[/C][C]5.2549[/C][C]1e-06[/C][/ROW]
[ROW][C]1[/C][C]-0.329951[/C][C]-2.577[/C][C]0.9938[/C][/ROW]
[ROW][C]2[/C][C]-0.179551[/C][C]-1.4023[/C][C]0.917058[/C][/ROW]
[ROW][C]3[/C][C]0.398266[/C][C]3.1106[/C][C]0.001419[/C][/ROW]
[ROW][C]4[/C][C]0.010301[/C][C]0.0805[/C][C]0.46807[/C][/ROW]
[ROW][C]5[/C][C]-0.07029[/C][C]-0.549[/C][C]0.707489[/C][/ROW]
[ROW][C]6[/C][C]0.012793[/C][C]0.0999[/C][C]0.460368[/C][/ROW]
[ROW][C]7[/C][C]-0.038341[/C][C]-0.2995[/C][C]0.617194[/C][/ROW]
[ROW][C]8[/C][C]0.123351[/C][C]0.9634[/C][C]0.169575[/C][/ROW]
[ROW][C]9[/C][C]0.177656[/C][C]1.3875[/C][C]0.085163[/C][/ROW]
[ROW][C]10[/C][C]-0.000691[/C][C]-0.0054[/C][C]0.502144[/C][/ROW]
[ROW][C]11[/C][C]0.086018[/C][C]0.6718[/C][C]0.252118[/C][/ROW]
[ROW][C]12[/C][C]-0.268382[/C][C]-2.0961[/C][C]0.979887[/C][/ROW]
[ROW][C]13[/C][C]-0.060452[/C][C]-0.4721[/C][C]0.680746[/C][/ROW]
[ROW][C]14[/C][C]-0.069624[/C][C]-0.5438[/C][C]0.705713[/C][/ROW]
[ROW][C]15[/C][C]-0.132719[/C][C]-1.0366[/C][C]0.847986[/C][/ROW]
[ROW][C]16[/C][C]0.009025[/C][C]0.0705[/C][C]0.472018[/C][/ROW]
[ROW][C]17[/C][C]-0.07969[/C][C]-0.6224[/C][C]0.732001[/C][/ROW]
[ROW][C]18[/C][C]0.009334[/C][C]0.0729[/C][C]0.47106[/C][/ROW]
[ROW][C]19[/C][C]0.014041[/C][C]0.1097[/C][C]0.456517[/C][/ROW]
[ROW][C]20[/C][C]0.109211[/C][C]0.853[/C][C]0.198508[/C][/ROW]
[ROW][C]21[/C][C]-0.256817[/C][C]-2.0058[/C][C]0.975341[/C][/ROW]
[ROW][C]22[/C][C]0.019016[/C][C]0.1485[/C][C]0.441213[/C][/ROW]
[ROW][C]23[/C][C]0.03092[/C][C]0.2415[/C][C]0.404991[/C][/ROW]
[ROW][C]24[/C][C]0.068608[/C][C]0.5358[/C][C]0.297006[/C][/ROW]
[ROW][C]25[/C][C]-0.078863[/C][C]-0.6159[/C][C]0.729886[/C][/ROW]
[ROW][C]26[/C][C]0.006152[/C][C]0.0481[/C][C]0.480917[/C][/ROW]
[ROW][C]27[/C][C]-0.071143[/C][C]-0.5556[/C][C]0.709758[/C][/ROW]
[ROW][C]28[/C][C]0.000198[/C][C]0.0015[/C][C]0.499387[/C][/ROW]
[ROW][C]29[/C][C]-0.043043[/C][C]-0.3362[/C][C]0.631055[/C][/ROW]
[ROW][C]30[/C][C]-0.234249[/C][C]-1.8295[/C][C]0.963897[/C][/ROW]
[ROW][C]31[/C][C]-0.066107[/C][C]-0.5163[/C][C]0.696249[/C][/ROW]
[ROW][C]32[/C][C]-0.039585[/C][C]-0.3092[/C][C]0.620876[/C][/ROW]
[ROW][C]33[/C][C]0.048008[/C][C]0.375[/C][C]0.354497[/C][/ROW]
[ROW][C]34[/C][C]-0.004819[/C][C]-0.0376[/C][C]0.51495[/C][/ROW]
[ROW][C]35[/C][C]0.0633[/C][C]0.4944[/C][C]0.311405[/C][/ROW]
[ROW][C]36[/C][C]-0.065915[/C][C]-0.5148[/C][C]0.695727[/C][/ROW]
[ROW][C]37[/C][C]-0.064091[/C][C]-0.5006[/C][C]0.69076[/C][/ROW]
[ROW][C]38[/C][C]-0.029156[/C][C]-0.2277[/C][C]0.589687[/C][/ROW]
[ROW][C]39[/C][C]-0.030818[/C][C]-0.2407[/C][C]0.5947[/C][/ROW]
[ROW][C]40[/C][C]-0.047229[/C][C]-0.3689[/C][C]0.643248[/C][/ROW]
[ROW][C]41[/C][C]-0.108207[/C][C]-0.8451[/C][C]0.799327[/C][/ROW]
[ROW][C]42[/C][C]0.107478[/C][C]0.8394[/C][C]0.202253[/C][/ROW]
[ROW][C]43[/C][C]0.036253[/C][C]0.2831[/C][C]0.389012[/C][/ROW]
[ROW][C]44[/C][C]0.040526[/C][C]0.3165[/C][C]0.376344[/C][/ROW]
[ROW][C]45[/C][C]-0.09193[/C][C]-0.718[/C][C]0.76225[/C][/ROW]
[ROW][C]46[/C][C]-0.056854[/C][C]-0.444[/C][C]0.670708[/C][/ROW]
[ROW][C]47[/C][C]0.007284[/C][C]0.0569[/C][C]0.477409[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2286&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2286&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
00.6728185.25491e-06
1-0.329951-2.5770.9938
2-0.179551-1.40230.917058
30.3982663.11060.001419
40.0103010.08050.46807
5-0.07029-0.5490.707489
60.0127930.09990.460368
7-0.038341-0.29950.617194
80.1233510.96340.169575
90.1776561.38750.085163
10-0.000691-0.00540.502144
110.0860180.67180.252118
12-0.268382-2.09610.979887
13-0.060452-0.47210.680746
14-0.069624-0.54380.705713
15-0.132719-1.03660.847986
160.0090250.07050.472018
17-0.07969-0.62240.732001
180.0093340.07290.47106
190.0140410.10970.456517
200.1092110.8530.198508
21-0.256817-2.00580.975341
220.0190160.14850.441213
230.030920.24150.404991
240.0686080.53580.297006
25-0.078863-0.61590.729886
260.0061520.04810.480917
27-0.071143-0.55560.709758
280.0001980.00150.499387
29-0.043043-0.33620.631055
30-0.234249-1.82950.963897
31-0.066107-0.51630.696249
32-0.039585-0.30920.620876
330.0480080.3750.354497
34-0.004819-0.03760.51495
350.06330.49440.311405
36-0.065915-0.51480.695727
37-0.064091-0.50060.69076
38-0.029156-0.22770.589687
39-0.030818-0.24070.5947
40-0.047229-0.36890.643248
41-0.108207-0.84510.799327
420.1074780.83940.202253
430.0362530.28310.389012
440.0405260.31650.376344
45-0.09193-0.7180.76225
46-0.056854-0.4440.670708
470.0072840.05690.477409



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 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')