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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 05:02:41 -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/Nov/28/t1196250756q8bwe6wcm6hm5v2.htm/, Retrieved Thu, 02 May 2024 09:47:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7040, Retrieved Thu, 02 May 2024 09:47:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact226
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie fu...] [2007-11-28 12:02:41] [246ad84e93fbdd1336f5cbee368cde93] [Current]
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Dataseries X:
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.44
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.57
1.58
1.58
1.58
1.58
1.59
1.6
1.6
1.61
1.61
1.61
1.62
1.63
1.63
1.64
1.64
1.64
1.64
1.64
1.65
1.65
1.65
1.65




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7040&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]2 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=7040&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7040&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.42610
10.0815370.6870.247147
2-0.050502-0.42550.664133
3-0.041387-0.34870.635841
4-0.049314-0.41550.660495
50.0505420.42590.335744
60.0495740.41770.338708
7-0.042136-0.3550.638194
80.0375550.31640.376296
9-0.061112-0.51490.695903
10-0.06208-0.52310.698732
110.0408990.34460.365697
120.0228910.19290.423801
13-0.048654-0.410.658467
140.0310370.26150.397223
15-0.06763-0.56990.714716
16-0.068598-0.5780.717461
17-0.066442-0.55990.711329
18-0.05108-0.43040.665898
190.0411070.34640.365042
20-0.050602-0.42640.664439
21-0.05157-0.43450.667391
22-0.049414-0.41640.660802
23-0.022265-0.18760.57414
24-0.023233-0.19580.577323
25-0.024201-0.20390.5805
26-0.025169-0.21210.583673
27-0.026137-0.22020.586839
28-0.027105-0.22840.59
29-0.028073-0.23650.593155
300.3339242.81370.003166
310.1010620.85160.198661
32-0.020895-0.17610.569627
33-0.031945-0.26920.605712
34-0.032913-0.27730.608834
350.0064480.05430.478411
360.0155630.13110.448021
37-0.025735-0.21680.585525
380.0035440.02990.48813
39-0.027671-0.23320.591846
40-0.038721-0.32630.627411
410.000640.00540.497856
420.0097540.08220.467363
43-0.031543-0.26580.604413
44-0.002264-0.01910.507584
45-0.033479-0.28210.610657
46-0.04453-0.37520.64569
47-0.045498-0.38340.648704

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.4261 & 0 \tabularnewline
1 & 0.081537 & 0.687 & 0.247147 \tabularnewline
2 & -0.050502 & -0.4255 & 0.664133 \tabularnewline
3 & -0.041387 & -0.3487 & 0.635841 \tabularnewline
4 & -0.049314 & -0.4155 & 0.660495 \tabularnewline
5 & 0.050542 & 0.4259 & 0.335744 \tabularnewline
6 & 0.049574 & 0.4177 & 0.338708 \tabularnewline
7 & -0.042136 & -0.355 & 0.638194 \tabularnewline
8 & 0.037555 & 0.3164 & 0.376296 \tabularnewline
9 & -0.061112 & -0.5149 & 0.695903 \tabularnewline
10 & -0.06208 & -0.5231 & 0.698732 \tabularnewline
11 & 0.040899 & 0.3446 & 0.365697 \tabularnewline
12 & 0.022891 & 0.1929 & 0.423801 \tabularnewline
13 & -0.048654 & -0.41 & 0.658467 \tabularnewline
14 & 0.031037 & 0.2615 & 0.397223 \tabularnewline
15 & -0.06763 & -0.5699 & 0.714716 \tabularnewline
16 & -0.068598 & -0.578 & 0.717461 \tabularnewline
17 & -0.066442 & -0.5599 & 0.711329 \tabularnewline
18 & -0.05108 & -0.4304 & 0.665898 \tabularnewline
19 & 0.041107 & 0.3464 & 0.365042 \tabularnewline
20 & -0.050602 & -0.4264 & 0.664439 \tabularnewline
21 & -0.05157 & -0.4345 & 0.667391 \tabularnewline
22 & -0.049414 & -0.4164 & 0.660802 \tabularnewline
23 & -0.022265 & -0.1876 & 0.57414 \tabularnewline
24 & -0.023233 & -0.1958 & 0.577323 \tabularnewline
25 & -0.024201 & -0.2039 & 0.5805 \tabularnewline
26 & -0.025169 & -0.2121 & 0.583673 \tabularnewline
27 & -0.026137 & -0.2202 & 0.586839 \tabularnewline
28 & -0.027105 & -0.2284 & 0.59 \tabularnewline
29 & -0.028073 & -0.2365 & 0.593155 \tabularnewline
30 & 0.333924 & 2.8137 & 0.003166 \tabularnewline
31 & 0.101062 & 0.8516 & 0.198661 \tabularnewline
32 & -0.020895 & -0.1761 & 0.569627 \tabularnewline
33 & -0.031945 & -0.2692 & 0.605712 \tabularnewline
34 & -0.032913 & -0.2773 & 0.608834 \tabularnewline
35 & 0.006448 & 0.0543 & 0.478411 \tabularnewline
36 & 0.015563 & 0.1311 & 0.448021 \tabularnewline
37 & -0.025735 & -0.2168 & 0.585525 \tabularnewline
38 & 0.003544 & 0.0299 & 0.48813 \tabularnewline
39 & -0.027671 & -0.2332 & 0.591846 \tabularnewline
40 & -0.038721 & -0.3263 & 0.627411 \tabularnewline
41 & 0.00064 & 0.0054 & 0.497856 \tabularnewline
42 & 0.009754 & 0.0822 & 0.467363 \tabularnewline
43 & -0.031543 & -0.2658 & 0.604413 \tabularnewline
44 & -0.002264 & -0.0191 & 0.507584 \tabularnewline
45 & -0.033479 & -0.2821 & 0.610657 \tabularnewline
46 & -0.04453 & -0.3752 & 0.64569 \tabularnewline
47 & -0.045498 & -0.3834 & 0.648704 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7040&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]8.4261[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.081537[/C][C]0.687[/C][C]0.247147[/C][/ROW]
[ROW][C]2[/C][C]-0.050502[/C][C]-0.4255[/C][C]0.664133[/C][/ROW]
[ROW][C]3[/C][C]-0.041387[/C][C]-0.3487[/C][C]0.635841[/C][/ROW]
[ROW][C]4[/C][C]-0.049314[/C][C]-0.4155[/C][C]0.660495[/C][/ROW]
[ROW][C]5[/C][C]0.050542[/C][C]0.4259[/C][C]0.335744[/C][/ROW]
[ROW][C]6[/C][C]0.049574[/C][C]0.4177[/C][C]0.338708[/C][/ROW]
[ROW][C]7[/C][C]-0.042136[/C][C]-0.355[/C][C]0.638194[/C][/ROW]
[ROW][C]8[/C][C]0.037555[/C][C]0.3164[/C][C]0.376296[/C][/ROW]
[ROW][C]9[/C][C]-0.061112[/C][C]-0.5149[/C][C]0.695903[/C][/ROW]
[ROW][C]10[/C][C]-0.06208[/C][C]-0.5231[/C][C]0.698732[/C][/ROW]
[ROW][C]11[/C][C]0.040899[/C][C]0.3446[/C][C]0.365697[/C][/ROW]
[ROW][C]12[/C][C]0.022891[/C][C]0.1929[/C][C]0.423801[/C][/ROW]
[ROW][C]13[/C][C]-0.048654[/C][C]-0.41[/C][C]0.658467[/C][/ROW]
[ROW][C]14[/C][C]0.031037[/C][C]0.2615[/C][C]0.397223[/C][/ROW]
[ROW][C]15[/C][C]-0.06763[/C][C]-0.5699[/C][C]0.714716[/C][/ROW]
[ROW][C]16[/C][C]-0.068598[/C][C]-0.578[/C][C]0.717461[/C][/ROW]
[ROW][C]17[/C][C]-0.066442[/C][C]-0.5599[/C][C]0.711329[/C][/ROW]
[ROW][C]18[/C][C]-0.05108[/C][C]-0.4304[/C][C]0.665898[/C][/ROW]
[ROW][C]19[/C][C]0.041107[/C][C]0.3464[/C][C]0.365042[/C][/ROW]
[ROW][C]20[/C][C]-0.050602[/C][C]-0.4264[/C][C]0.664439[/C][/ROW]
[ROW][C]21[/C][C]-0.05157[/C][C]-0.4345[/C][C]0.667391[/C][/ROW]
[ROW][C]22[/C][C]-0.049414[/C][C]-0.4164[/C][C]0.660802[/C][/ROW]
[ROW][C]23[/C][C]-0.022265[/C][C]-0.1876[/C][C]0.57414[/C][/ROW]
[ROW][C]24[/C][C]-0.023233[/C][C]-0.1958[/C][C]0.577323[/C][/ROW]
[ROW][C]25[/C][C]-0.024201[/C][C]-0.2039[/C][C]0.5805[/C][/ROW]
[ROW][C]26[/C][C]-0.025169[/C][C]-0.2121[/C][C]0.583673[/C][/ROW]
[ROW][C]27[/C][C]-0.026137[/C][C]-0.2202[/C][C]0.586839[/C][/ROW]
[ROW][C]28[/C][C]-0.027105[/C][C]-0.2284[/C][C]0.59[/C][/ROW]
[ROW][C]29[/C][C]-0.028073[/C][C]-0.2365[/C][C]0.593155[/C][/ROW]
[ROW][C]30[/C][C]0.333924[/C][C]2.8137[/C][C]0.003166[/C][/ROW]
[ROW][C]31[/C][C]0.101062[/C][C]0.8516[/C][C]0.198661[/C][/ROW]
[ROW][C]32[/C][C]-0.020895[/C][C]-0.1761[/C][C]0.569627[/C][/ROW]
[ROW][C]33[/C][C]-0.031945[/C][C]-0.2692[/C][C]0.605712[/C][/ROW]
[ROW][C]34[/C][C]-0.032913[/C][C]-0.2773[/C][C]0.608834[/C][/ROW]
[ROW][C]35[/C][C]0.006448[/C][C]0.0543[/C][C]0.478411[/C][/ROW]
[ROW][C]36[/C][C]0.015563[/C][C]0.1311[/C][C]0.448021[/C][/ROW]
[ROW][C]37[/C][C]-0.025735[/C][C]-0.2168[/C][C]0.585525[/C][/ROW]
[ROW][C]38[/C][C]0.003544[/C][C]0.0299[/C][C]0.48813[/C][/ROW]
[ROW][C]39[/C][C]-0.027671[/C][C]-0.2332[/C][C]0.591846[/C][/ROW]
[ROW][C]40[/C][C]-0.038721[/C][C]-0.3263[/C][C]0.627411[/C][/ROW]
[ROW][C]41[/C][C]0.00064[/C][C]0.0054[/C][C]0.497856[/C][/ROW]
[ROW][C]42[/C][C]0.009754[/C][C]0.0822[/C][C]0.467363[/C][/ROW]
[ROW][C]43[/C][C]-0.031543[/C][C]-0.2658[/C][C]0.604413[/C][/ROW]
[ROW][C]44[/C][C]-0.002264[/C][C]-0.0191[/C][C]0.507584[/C][/ROW]
[ROW][C]45[/C][C]-0.033479[/C][C]-0.2821[/C][C]0.610657[/C][/ROW]
[ROW][C]46[/C][C]-0.04453[/C][C]-0.3752[/C][C]0.64569[/C][/ROW]
[ROW][C]47[/C][C]-0.045498[/C][C]-0.3834[/C][C]0.648704[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7040&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7040&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
018.42610
10.0815370.6870.247147
2-0.050502-0.42550.664133
3-0.041387-0.34870.635841
4-0.049314-0.41550.660495
50.0505420.42590.335744
60.0495740.41770.338708
7-0.042136-0.3550.638194
80.0375550.31640.376296
9-0.061112-0.51490.695903
10-0.06208-0.52310.698732
110.0408990.34460.365697
120.0228910.19290.423801
13-0.048654-0.410.658467
140.0310370.26150.397223
15-0.06763-0.56990.714716
16-0.068598-0.5780.717461
17-0.066442-0.55990.711329
18-0.05108-0.43040.665898
190.0411070.34640.365042
20-0.050602-0.42640.664439
21-0.05157-0.43450.667391
22-0.049414-0.41640.660802
23-0.022265-0.18760.57414
24-0.023233-0.19580.577323
25-0.024201-0.20390.5805
26-0.025169-0.21210.583673
27-0.026137-0.22020.586839
28-0.027105-0.22840.59
29-0.028073-0.23650.593155
300.3339242.81370.003166
310.1010620.85160.198661
32-0.020895-0.17610.569627
33-0.031945-0.26920.605712
34-0.032913-0.27730.608834
350.0064480.05430.478411
360.0155630.13110.448021
37-0.025735-0.21680.585525
380.0035440.02990.48813
39-0.027671-0.23320.591846
40-0.038721-0.32630.627411
410.000640.00540.497856
420.0097540.08220.467363
43-0.031543-0.26580.604413
44-0.002264-0.01910.507584
45-0.033479-0.28210.610657
46-0.04453-0.37520.64569
47-0.045498-0.38340.648704







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.0815370.6870.247147
1-0.057533-0.48480.685337
2-0.032666-0.27530.608039
3-0.046433-0.39130.651608
40.0553170.46610.321282
50.0349310.29430.384681
6-0.047833-0.4030.655939
70.0515130.43410.332783
8-0.066854-0.56330.712504
9-0.049052-0.41330.659692
100.0394170.33210.370382
110.0134870.11360.45492
12-0.059565-0.50190.691357
130.0411620.34680.36487
14-0.061001-0.5140.695576
15-0.065883-0.55510.709728
16-0.07032-0.59250.72231
17-0.039544-0.33320.63002
180.0245050.20650.418501
19-0.077737-0.6550.742716
20-0.021465-0.18090.571508
21-0.058566-0.49350.688404
22-0.015949-0.13440.553263
23-0.037571-0.31660.623755
24-0.042282-0.35630.638656
25-0.032343-0.27250.606996
26-0.037126-0.31280.622336
27-0.029478-0.24840.597725
28-0.036697-0.30920.620967
290.3391512.85770.002797
300.0278210.23440.407666
31-0.003672-0.03090.512297
32-0.021618-0.18220.572009
330.0013550.01140.49546
34-0.040447-0.34080.632875
35-0.035342-0.29780.616636
36-0.01176-0.09910.539328
37-0.052799-0.44490.671124
38-0.005934-0.050.519868
39-0.020707-0.17450.569007
40-0.026002-0.21910.586397
41-0.048405-0.40790.6577
42-0.014827-0.12490.549537
43-0.051731-0.43590.667881
44-0.025995-0.2190.586375
45-0.006766-0.0570.522652
46-0.019179-0.16160.563962
47-0.013827-0.11650.546211

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.081537 & 0.687 & 0.247147 \tabularnewline
1 & -0.057533 & -0.4848 & 0.685337 \tabularnewline
2 & -0.032666 & -0.2753 & 0.608039 \tabularnewline
3 & -0.046433 & -0.3913 & 0.651608 \tabularnewline
4 & 0.055317 & 0.4661 & 0.321282 \tabularnewline
5 & 0.034931 & 0.2943 & 0.384681 \tabularnewline
6 & -0.047833 & -0.403 & 0.655939 \tabularnewline
7 & 0.051513 & 0.4341 & 0.332783 \tabularnewline
8 & -0.066854 & -0.5633 & 0.712504 \tabularnewline
9 & -0.049052 & -0.4133 & 0.659692 \tabularnewline
10 & 0.039417 & 0.3321 & 0.370382 \tabularnewline
11 & 0.013487 & 0.1136 & 0.45492 \tabularnewline
12 & -0.059565 & -0.5019 & 0.691357 \tabularnewline
13 & 0.041162 & 0.3468 & 0.36487 \tabularnewline
14 & -0.061001 & -0.514 & 0.695576 \tabularnewline
15 & -0.065883 & -0.5551 & 0.709728 \tabularnewline
16 & -0.07032 & -0.5925 & 0.72231 \tabularnewline
17 & -0.039544 & -0.3332 & 0.63002 \tabularnewline
18 & 0.024505 & 0.2065 & 0.418501 \tabularnewline
19 & -0.077737 & -0.655 & 0.742716 \tabularnewline
20 & -0.021465 & -0.1809 & 0.571508 \tabularnewline
21 & -0.058566 & -0.4935 & 0.688404 \tabularnewline
22 & -0.015949 & -0.1344 & 0.553263 \tabularnewline
23 & -0.037571 & -0.3166 & 0.623755 \tabularnewline
24 & -0.042282 & -0.3563 & 0.638656 \tabularnewline
25 & -0.032343 & -0.2725 & 0.606996 \tabularnewline
26 & -0.037126 & -0.3128 & 0.622336 \tabularnewline
27 & -0.029478 & -0.2484 & 0.597725 \tabularnewline
28 & -0.036697 & -0.3092 & 0.620967 \tabularnewline
29 & 0.339151 & 2.8577 & 0.002797 \tabularnewline
30 & 0.027821 & 0.2344 & 0.407666 \tabularnewline
31 & -0.003672 & -0.0309 & 0.512297 \tabularnewline
32 & -0.021618 & -0.1822 & 0.572009 \tabularnewline
33 & 0.001355 & 0.0114 & 0.49546 \tabularnewline
34 & -0.040447 & -0.3408 & 0.632875 \tabularnewline
35 & -0.035342 & -0.2978 & 0.616636 \tabularnewline
36 & -0.01176 & -0.0991 & 0.539328 \tabularnewline
37 & -0.052799 & -0.4449 & 0.671124 \tabularnewline
38 & -0.005934 & -0.05 & 0.519868 \tabularnewline
39 & -0.020707 & -0.1745 & 0.569007 \tabularnewline
40 & -0.026002 & -0.2191 & 0.586397 \tabularnewline
41 & -0.048405 & -0.4079 & 0.6577 \tabularnewline
42 & -0.014827 & -0.1249 & 0.549537 \tabularnewline
43 & -0.051731 & -0.4359 & 0.667881 \tabularnewline
44 & -0.025995 & -0.219 & 0.586375 \tabularnewline
45 & -0.006766 & -0.057 & 0.522652 \tabularnewline
46 & -0.019179 & -0.1616 & 0.563962 \tabularnewline
47 & -0.013827 & -0.1165 & 0.546211 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7040&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]0.081537[/C][C]0.687[/C][C]0.247147[/C][/ROW]
[ROW][C]1[/C][C]-0.057533[/C][C]-0.4848[/C][C]0.685337[/C][/ROW]
[ROW][C]2[/C][C]-0.032666[/C][C]-0.2753[/C][C]0.608039[/C][/ROW]
[ROW][C]3[/C][C]-0.046433[/C][C]-0.3913[/C][C]0.651608[/C][/ROW]
[ROW][C]4[/C][C]0.055317[/C][C]0.4661[/C][C]0.321282[/C][/ROW]
[ROW][C]5[/C][C]0.034931[/C][C]0.2943[/C][C]0.384681[/C][/ROW]
[ROW][C]6[/C][C]-0.047833[/C][C]-0.403[/C][C]0.655939[/C][/ROW]
[ROW][C]7[/C][C]0.051513[/C][C]0.4341[/C][C]0.332783[/C][/ROW]
[ROW][C]8[/C][C]-0.066854[/C][C]-0.5633[/C][C]0.712504[/C][/ROW]
[ROW][C]9[/C][C]-0.049052[/C][C]-0.4133[/C][C]0.659692[/C][/ROW]
[ROW][C]10[/C][C]0.039417[/C][C]0.3321[/C][C]0.370382[/C][/ROW]
[ROW][C]11[/C][C]0.013487[/C][C]0.1136[/C][C]0.45492[/C][/ROW]
[ROW][C]12[/C][C]-0.059565[/C][C]-0.5019[/C][C]0.691357[/C][/ROW]
[ROW][C]13[/C][C]0.041162[/C][C]0.3468[/C][C]0.36487[/C][/ROW]
[ROW][C]14[/C][C]-0.061001[/C][C]-0.514[/C][C]0.695576[/C][/ROW]
[ROW][C]15[/C][C]-0.065883[/C][C]-0.5551[/C][C]0.709728[/C][/ROW]
[ROW][C]16[/C][C]-0.07032[/C][C]-0.5925[/C][C]0.72231[/C][/ROW]
[ROW][C]17[/C][C]-0.039544[/C][C]-0.3332[/C][C]0.63002[/C][/ROW]
[ROW][C]18[/C][C]0.024505[/C][C]0.2065[/C][C]0.418501[/C][/ROW]
[ROW][C]19[/C][C]-0.077737[/C][C]-0.655[/C][C]0.742716[/C][/ROW]
[ROW][C]20[/C][C]-0.021465[/C][C]-0.1809[/C][C]0.571508[/C][/ROW]
[ROW][C]21[/C][C]-0.058566[/C][C]-0.4935[/C][C]0.688404[/C][/ROW]
[ROW][C]22[/C][C]-0.015949[/C][C]-0.1344[/C][C]0.553263[/C][/ROW]
[ROW][C]23[/C][C]-0.037571[/C][C]-0.3166[/C][C]0.623755[/C][/ROW]
[ROW][C]24[/C][C]-0.042282[/C][C]-0.3563[/C][C]0.638656[/C][/ROW]
[ROW][C]25[/C][C]-0.032343[/C][C]-0.2725[/C][C]0.606996[/C][/ROW]
[ROW][C]26[/C][C]-0.037126[/C][C]-0.3128[/C][C]0.622336[/C][/ROW]
[ROW][C]27[/C][C]-0.029478[/C][C]-0.2484[/C][C]0.597725[/C][/ROW]
[ROW][C]28[/C][C]-0.036697[/C][C]-0.3092[/C][C]0.620967[/C][/ROW]
[ROW][C]29[/C][C]0.339151[/C][C]2.8577[/C][C]0.002797[/C][/ROW]
[ROW][C]30[/C][C]0.027821[/C][C]0.2344[/C][C]0.407666[/C][/ROW]
[ROW][C]31[/C][C]-0.003672[/C][C]-0.0309[/C][C]0.512297[/C][/ROW]
[ROW][C]32[/C][C]-0.021618[/C][C]-0.1822[/C][C]0.572009[/C][/ROW]
[ROW][C]33[/C][C]0.001355[/C][C]0.0114[/C][C]0.49546[/C][/ROW]
[ROW][C]34[/C][C]-0.040447[/C][C]-0.3408[/C][C]0.632875[/C][/ROW]
[ROW][C]35[/C][C]-0.035342[/C][C]-0.2978[/C][C]0.616636[/C][/ROW]
[ROW][C]36[/C][C]-0.01176[/C][C]-0.0991[/C][C]0.539328[/C][/ROW]
[ROW][C]37[/C][C]-0.052799[/C][C]-0.4449[/C][C]0.671124[/C][/ROW]
[ROW][C]38[/C][C]-0.005934[/C][C]-0.05[/C][C]0.519868[/C][/ROW]
[ROW][C]39[/C][C]-0.020707[/C][C]-0.1745[/C][C]0.569007[/C][/ROW]
[ROW][C]40[/C][C]-0.026002[/C][C]-0.2191[/C][C]0.586397[/C][/ROW]
[ROW][C]41[/C][C]-0.048405[/C][C]-0.4079[/C][C]0.6577[/C][/ROW]
[ROW][C]42[/C][C]-0.014827[/C][C]-0.1249[/C][C]0.549537[/C][/ROW]
[ROW][C]43[/C][C]-0.051731[/C][C]-0.4359[/C][C]0.667881[/C][/ROW]
[ROW][C]44[/C][C]-0.025995[/C][C]-0.219[/C][C]0.586375[/C][/ROW]
[ROW][C]45[/C][C]-0.006766[/C][C]-0.057[/C][C]0.522652[/C][/ROW]
[ROW][C]46[/C][C]-0.019179[/C][C]-0.1616[/C][C]0.563962[/C][/ROW]
[ROW][C]47[/C][C]-0.013827[/C][C]-0.1165[/C][C]0.546211[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7040&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7040&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
00.0815370.6870.247147
1-0.057533-0.48480.685337
2-0.032666-0.27530.608039
3-0.046433-0.39130.651608
40.0553170.46610.321282
50.0349310.29430.384681
6-0.047833-0.4030.655939
70.0515130.43410.332783
8-0.066854-0.56330.712504
9-0.049052-0.41330.659692
100.0394170.33210.370382
110.0134870.11360.45492
12-0.059565-0.50190.691357
130.0411620.34680.36487
14-0.061001-0.5140.695576
15-0.065883-0.55510.709728
16-0.07032-0.59250.72231
17-0.039544-0.33320.63002
180.0245050.20650.418501
19-0.077737-0.6550.742716
20-0.021465-0.18090.571508
21-0.058566-0.49350.688404
22-0.015949-0.13440.553263
23-0.037571-0.31660.623755
24-0.042282-0.35630.638656
25-0.032343-0.27250.606996
26-0.037126-0.31280.622336
27-0.029478-0.24840.597725
28-0.036697-0.30920.620967
290.3391512.85770.002797
300.0278210.23440.407666
31-0.003672-0.03090.512297
32-0.021618-0.18220.572009
330.0013550.01140.49546
34-0.040447-0.34080.632875
35-0.035342-0.29780.616636
36-0.01176-0.09910.539328
37-0.052799-0.44490.671124
38-0.005934-0.050.519868
39-0.020707-0.17450.569007
40-0.026002-0.21910.586397
41-0.048405-0.40790.6577
42-0.014827-0.12490.549537
43-0.051731-0.43590.667881
44-0.025995-0.2190.586375
45-0.006766-0.0570.522652
46-0.019179-0.16160.563962
47-0.013827-0.11650.546211



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