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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 13 May 2009 11:27:32 -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/13/t1242235708nligzt0ruznp65m.htm/, Retrieved Wed, 08 May 2024 23:50:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39878, Retrieved Wed, 08 May 2024 23:50:04 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact100
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Cijferreeks - Con...] [2009-05-13 17:27:32] [b527803d8be4913968ad45e628c1cc71] [Current]
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Dataseries X:
1686
1591
2304
1712
1471
1377
1966
2453
1984
2596
4087
5179
1530
1523
1633
1976
1170
1480
1781
2472
1981
2273
3857
4551
1510
1329
1518
1790
1537
1449
1954
1897
1706
2514
3593
4524
1609
1638
2030
1375
1320
1245
1600
2298
2191
2511
3440
4923
1609
1435
2061
1789
1567
1404
1597
3159
1759
2504
4273
5274
1771
1682
1846
1589
1896
1379
1645
2512
1771
3727
4388
5434
1606
1523
1577
1605
1765
1403
2584
3318
1562
2349
3987
5891
1389
1442
1548
1935
1518
1250
1847
1930
2638
3114
4405
7242
1853
1779
2108
2336
1728
1661
2230
1645
2421
3740
4988
6757
1757
1394
1982
1650
1654
1406
1971
1968
2608
3845
4514
6694
1720
1321
1859
1628
1615
1457
1899
1605
2424
3116
4286
6047
1902
2049
1874
1279
1432
1540
2214
1857
2408
3252
3627
6153
1577
1667
1993
1997
1783
1625
2076
1773
2377
3088
4096
6119
1494
1564
1898
2121
1831
1515
2048
2795
1749
3339
4227
6410
1197
1968
1720
1725
1674
1693
2031
1495
2968
3385
3729
5999
1070
1402
1897
1862
1670
1688
2031




Summary of computational 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 computational 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=39878&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]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=39878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39878&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.226516-3.08930.001157
2-0.162332-2.21390.014025
3-0.08017-1.09340.137821
40.057720.78720.216085
50.0109210.14890.440878
6-0.203714-2.77830.003013
70.0219290.29910.382608
80.0421520.57490.283036
9-0.064853-0.88450.188791
10-0.144683-1.97320.024977
11-0.179104-2.44270.007757
120.86327911.77360
13-0.180089-2.45610.007482
14-0.144411-1.96950.02519
15-0.09436-1.28690.099864
160.0721560.98410.163178
170.0088750.1210.451895
18-0.194334-2.65040.004367
190.0226010.30820.379124
200.0402340.54870.291929
21-0.066885-0.91220.181426
22-0.137732-1.87840.030944
23-0.154147-2.10230.018437
240.79622110.8590
25-0.167104-2.2790.011902
26-0.13833-1.88660.030389
27-0.076371-1.04160.149483
280.0646920.88230.189382
290.006980.09520.46213
30-0.184587-2.51740.006333
310.0233050.31780.37548
320.0252330.34410.365566
33-0.046479-0.63390.263468
34-0.133809-1.82490.034809
35-0.142824-1.94790.026469
360.73604210.03830
37-0.14265-1.94550.026612
38-0.132898-1.81250.035761
39-0.086388-1.17820.120117
400.0765891.04450.148797
410.0038270.05220.479215
42-0.172944-2.35860.00969
430.0225480.30750.379398
440.0225590.30770.379341
45-0.048429-0.66050.254878
46-0.117308-1.59990.055662
47-0.132792-1.8110.035874
480.6758119.21680

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.226516 & -3.0893 & 0.001157 \tabularnewline
2 & -0.162332 & -2.2139 & 0.014025 \tabularnewline
3 & -0.08017 & -1.0934 & 0.137821 \tabularnewline
4 & 0.05772 & 0.7872 & 0.216085 \tabularnewline
5 & 0.010921 & 0.1489 & 0.440878 \tabularnewline
6 & -0.203714 & -2.7783 & 0.003013 \tabularnewline
7 & 0.021929 & 0.2991 & 0.382608 \tabularnewline
8 & 0.042152 & 0.5749 & 0.283036 \tabularnewline
9 & -0.064853 & -0.8845 & 0.188791 \tabularnewline
10 & -0.144683 & -1.9732 & 0.024977 \tabularnewline
11 & -0.179104 & -2.4427 & 0.007757 \tabularnewline
12 & 0.863279 & 11.7736 & 0 \tabularnewline
13 & -0.180089 & -2.4561 & 0.007482 \tabularnewline
14 & -0.144411 & -1.9695 & 0.02519 \tabularnewline
15 & -0.09436 & -1.2869 & 0.099864 \tabularnewline
16 & 0.072156 & 0.9841 & 0.163178 \tabularnewline
17 & 0.008875 & 0.121 & 0.451895 \tabularnewline
18 & -0.194334 & -2.6504 & 0.004367 \tabularnewline
19 & 0.022601 & 0.3082 & 0.379124 \tabularnewline
20 & 0.040234 & 0.5487 & 0.291929 \tabularnewline
21 & -0.066885 & -0.9122 & 0.181426 \tabularnewline
22 & -0.137732 & -1.8784 & 0.030944 \tabularnewline
23 & -0.154147 & -2.1023 & 0.018437 \tabularnewline
24 & 0.796221 & 10.859 & 0 \tabularnewline
25 & -0.167104 & -2.279 & 0.011902 \tabularnewline
26 & -0.13833 & -1.8866 & 0.030389 \tabularnewline
27 & -0.076371 & -1.0416 & 0.149483 \tabularnewline
28 & 0.064692 & 0.8823 & 0.189382 \tabularnewline
29 & 0.00698 & 0.0952 & 0.46213 \tabularnewline
30 & -0.184587 & -2.5174 & 0.006333 \tabularnewline
31 & 0.023305 & 0.3178 & 0.37548 \tabularnewline
32 & 0.025233 & 0.3441 & 0.365566 \tabularnewline
33 & -0.046479 & -0.6339 & 0.263468 \tabularnewline
34 & -0.133809 & -1.8249 & 0.034809 \tabularnewline
35 & -0.142824 & -1.9479 & 0.026469 \tabularnewline
36 & 0.736042 & 10.0383 & 0 \tabularnewline
37 & -0.14265 & -1.9455 & 0.026612 \tabularnewline
38 & -0.132898 & -1.8125 & 0.035761 \tabularnewline
39 & -0.086388 & -1.1782 & 0.120117 \tabularnewline
40 & 0.076589 & 1.0445 & 0.148797 \tabularnewline
41 & 0.003827 & 0.0522 & 0.479215 \tabularnewline
42 & -0.172944 & -2.3586 & 0.00969 \tabularnewline
43 & 0.022548 & 0.3075 & 0.379398 \tabularnewline
44 & 0.022559 & 0.3077 & 0.379341 \tabularnewline
45 & -0.048429 & -0.6605 & 0.254878 \tabularnewline
46 & -0.117308 & -1.5999 & 0.055662 \tabularnewline
47 & -0.132792 & -1.811 & 0.035874 \tabularnewline
48 & 0.675811 & 9.2168 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39878&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]-0.226516[/C][C]-3.0893[/C][C]0.001157[/C][/ROW]
[ROW][C]2[/C][C]-0.162332[/C][C]-2.2139[/C][C]0.014025[/C][/ROW]
[ROW][C]3[/C][C]-0.08017[/C][C]-1.0934[/C][C]0.137821[/C][/ROW]
[ROW][C]4[/C][C]0.05772[/C][C]0.7872[/C][C]0.216085[/C][/ROW]
[ROW][C]5[/C][C]0.010921[/C][C]0.1489[/C][C]0.440878[/C][/ROW]
[ROW][C]6[/C][C]-0.203714[/C][C]-2.7783[/C][C]0.003013[/C][/ROW]
[ROW][C]7[/C][C]0.021929[/C][C]0.2991[/C][C]0.382608[/C][/ROW]
[ROW][C]8[/C][C]0.042152[/C][C]0.5749[/C][C]0.283036[/C][/ROW]
[ROW][C]9[/C][C]-0.064853[/C][C]-0.8845[/C][C]0.188791[/C][/ROW]
[ROW][C]10[/C][C]-0.144683[/C][C]-1.9732[/C][C]0.024977[/C][/ROW]
[ROW][C]11[/C][C]-0.179104[/C][C]-2.4427[/C][C]0.007757[/C][/ROW]
[ROW][C]12[/C][C]0.863279[/C][C]11.7736[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.180089[/C][C]-2.4561[/C][C]0.007482[/C][/ROW]
[ROW][C]14[/C][C]-0.144411[/C][C]-1.9695[/C][C]0.02519[/C][/ROW]
[ROW][C]15[/C][C]-0.09436[/C][C]-1.2869[/C][C]0.099864[/C][/ROW]
[ROW][C]16[/C][C]0.072156[/C][C]0.9841[/C][C]0.163178[/C][/ROW]
[ROW][C]17[/C][C]0.008875[/C][C]0.121[/C][C]0.451895[/C][/ROW]
[ROW][C]18[/C][C]-0.194334[/C][C]-2.6504[/C][C]0.004367[/C][/ROW]
[ROW][C]19[/C][C]0.022601[/C][C]0.3082[/C][C]0.379124[/C][/ROW]
[ROW][C]20[/C][C]0.040234[/C][C]0.5487[/C][C]0.291929[/C][/ROW]
[ROW][C]21[/C][C]-0.066885[/C][C]-0.9122[/C][C]0.181426[/C][/ROW]
[ROW][C]22[/C][C]-0.137732[/C][C]-1.8784[/C][C]0.030944[/C][/ROW]
[ROW][C]23[/C][C]-0.154147[/C][C]-2.1023[/C][C]0.018437[/C][/ROW]
[ROW][C]24[/C][C]0.796221[/C][C]10.859[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.167104[/C][C]-2.279[/C][C]0.011902[/C][/ROW]
[ROW][C]26[/C][C]-0.13833[/C][C]-1.8866[/C][C]0.030389[/C][/ROW]
[ROW][C]27[/C][C]-0.076371[/C][C]-1.0416[/C][C]0.149483[/C][/ROW]
[ROW][C]28[/C][C]0.064692[/C][C]0.8823[/C][C]0.189382[/C][/ROW]
[ROW][C]29[/C][C]0.00698[/C][C]0.0952[/C][C]0.46213[/C][/ROW]
[ROW][C]30[/C][C]-0.184587[/C][C]-2.5174[/C][C]0.006333[/C][/ROW]
[ROW][C]31[/C][C]0.023305[/C][C]0.3178[/C][C]0.37548[/C][/ROW]
[ROW][C]32[/C][C]0.025233[/C][C]0.3441[/C][C]0.365566[/C][/ROW]
[ROW][C]33[/C][C]-0.046479[/C][C]-0.6339[/C][C]0.263468[/C][/ROW]
[ROW][C]34[/C][C]-0.133809[/C][C]-1.8249[/C][C]0.034809[/C][/ROW]
[ROW][C]35[/C][C]-0.142824[/C][C]-1.9479[/C][C]0.026469[/C][/ROW]
[ROW][C]36[/C][C]0.736042[/C][C]10.0383[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.14265[/C][C]-1.9455[/C][C]0.026612[/C][/ROW]
[ROW][C]38[/C][C]-0.132898[/C][C]-1.8125[/C][C]0.035761[/C][/ROW]
[ROW][C]39[/C][C]-0.086388[/C][C]-1.1782[/C][C]0.120117[/C][/ROW]
[ROW][C]40[/C][C]0.076589[/C][C]1.0445[/C][C]0.148797[/C][/ROW]
[ROW][C]41[/C][C]0.003827[/C][C]0.0522[/C][C]0.479215[/C][/ROW]
[ROW][C]42[/C][C]-0.172944[/C][C]-2.3586[/C][C]0.00969[/C][/ROW]
[ROW][C]43[/C][C]0.022548[/C][C]0.3075[/C][C]0.379398[/C][/ROW]
[ROW][C]44[/C][C]0.022559[/C][C]0.3077[/C][C]0.379341[/C][/ROW]
[ROW][C]45[/C][C]-0.048429[/C][C]-0.6605[/C][C]0.254878[/C][/ROW]
[ROW][C]46[/C][C]-0.117308[/C][C]-1.5999[/C][C]0.055662[/C][/ROW]
[ROW][C]47[/C][C]-0.132792[/C][C]-1.811[/C][C]0.035874[/C][/ROW]
[ROW][C]48[/C][C]0.675811[/C][C]9.2168[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39878&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
1-0.226516-3.08930.001157
2-0.162332-2.21390.014025
3-0.08017-1.09340.137821
40.057720.78720.216085
50.0109210.14890.440878
6-0.203714-2.77830.003013
70.0219290.29910.382608
80.0421520.57490.283036
9-0.064853-0.88450.188791
10-0.144683-1.97320.024977
11-0.179104-2.44270.007757
120.86327911.77360
13-0.180089-2.45610.007482
14-0.144411-1.96950.02519
15-0.09436-1.28690.099864
160.0721560.98410.163178
170.0088750.1210.451895
18-0.194334-2.65040.004367
190.0226010.30820.379124
200.0402340.54870.291929
21-0.066885-0.91220.181426
22-0.137732-1.87840.030944
23-0.154147-2.10230.018437
240.79622110.8590
25-0.167104-2.2790.011902
26-0.13833-1.88660.030389
27-0.076371-1.04160.149483
280.0646920.88230.189382
290.006980.09520.46213
30-0.184587-2.51740.006333
310.0233050.31780.37548
320.0252330.34410.365566
33-0.046479-0.63390.263468
34-0.133809-1.82490.034809
35-0.142824-1.94790.026469
360.73604210.03830
37-0.14265-1.94550.026612
38-0.132898-1.81250.035761
39-0.086388-1.17820.120117
400.0765891.04450.148797
410.0038270.05220.479215
42-0.172944-2.35860.00969
430.0225480.30750.379398
440.0225590.30770.379341
45-0.048429-0.66050.254878
46-0.117308-1.59990.055662
47-0.132792-1.8110.035874
480.6758119.21680







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.226516-3.08930.001157
2-0.225197-3.07130.001226
3-0.195688-2.66880.004142
4-0.066693-0.90960.182114
5-0.051054-0.69630.243562
6-0.262753-3.58350.000216
7-0.155593-2.1220.01758
8-0.137772-1.8790.030907
9-0.244609-3.3360.000513
10-0.409981-5.59140
11-0.844131-11.51240
120.2271013.09720.001128
13-0.021692-0.29580.383841
140.0082460.11250.455288
15-0.046366-0.63240.263967
16-0.040292-0.54950.291656
17-0.017583-0.23980.405376
180.0190980.26050.397398
190.0095560.13030.448225
200.0777111.05980.145298
210.0121420.16560.43433
22-0.033764-0.46050.322856
23-0.15587-2.12580.01742
240.0853251.16370.123023
25-0.025988-0.35440.361711
26-0.05805-0.79170.214773
270.060040.81880.206963
28-0.021338-0.2910.385685
29-0.00674-0.09190.46343
300.0026110.03560.485816
31-0.007079-0.09650.461594
32-0.053895-0.7350.231622
330.0313590.42770.334688
340.0053920.07350.470728
35-0.052287-0.71310.238338
36-0.00968-0.1320.447558
370.0162230.22120.412571
380.013740.18740.425778
39-0.050065-0.68280.247794
40-0.023633-0.32230.373788
41-0.033594-0.45820.323686
42-0.000288-0.00390.498432
43-0.017952-0.24480.403428
440.0234490.31980.374739
45-0.035083-0.47850.316438
460.0211240.28810.386798
47-0.024776-0.33790.36791
480.00650.08860.46473

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.226516 & -3.0893 & 0.001157 \tabularnewline
2 & -0.225197 & -3.0713 & 0.001226 \tabularnewline
3 & -0.195688 & -2.6688 & 0.004142 \tabularnewline
4 & -0.066693 & -0.9096 & 0.182114 \tabularnewline
5 & -0.051054 & -0.6963 & 0.243562 \tabularnewline
6 & -0.262753 & -3.5835 & 0.000216 \tabularnewline
7 & -0.155593 & -2.122 & 0.01758 \tabularnewline
8 & -0.137772 & -1.879 & 0.030907 \tabularnewline
9 & -0.244609 & -3.336 & 0.000513 \tabularnewline
10 & -0.409981 & -5.5914 & 0 \tabularnewline
11 & -0.844131 & -11.5124 & 0 \tabularnewline
12 & 0.227101 & 3.0972 & 0.001128 \tabularnewline
13 & -0.021692 & -0.2958 & 0.383841 \tabularnewline
14 & 0.008246 & 0.1125 & 0.455288 \tabularnewline
15 & -0.046366 & -0.6324 & 0.263967 \tabularnewline
16 & -0.040292 & -0.5495 & 0.291656 \tabularnewline
17 & -0.017583 & -0.2398 & 0.405376 \tabularnewline
18 & 0.019098 & 0.2605 & 0.397398 \tabularnewline
19 & 0.009556 & 0.1303 & 0.448225 \tabularnewline
20 & 0.077711 & 1.0598 & 0.145298 \tabularnewline
21 & 0.012142 & 0.1656 & 0.43433 \tabularnewline
22 & -0.033764 & -0.4605 & 0.322856 \tabularnewline
23 & -0.15587 & -2.1258 & 0.01742 \tabularnewline
24 & 0.085325 & 1.1637 & 0.123023 \tabularnewline
25 & -0.025988 & -0.3544 & 0.361711 \tabularnewline
26 & -0.05805 & -0.7917 & 0.214773 \tabularnewline
27 & 0.06004 & 0.8188 & 0.206963 \tabularnewline
28 & -0.021338 & -0.291 & 0.385685 \tabularnewline
29 & -0.00674 & -0.0919 & 0.46343 \tabularnewline
30 & 0.002611 & 0.0356 & 0.485816 \tabularnewline
31 & -0.007079 & -0.0965 & 0.461594 \tabularnewline
32 & -0.053895 & -0.735 & 0.231622 \tabularnewline
33 & 0.031359 & 0.4277 & 0.334688 \tabularnewline
34 & 0.005392 & 0.0735 & 0.470728 \tabularnewline
35 & -0.052287 & -0.7131 & 0.238338 \tabularnewline
36 & -0.00968 & -0.132 & 0.447558 \tabularnewline
37 & 0.016223 & 0.2212 & 0.412571 \tabularnewline
38 & 0.01374 & 0.1874 & 0.425778 \tabularnewline
39 & -0.050065 & -0.6828 & 0.247794 \tabularnewline
40 & -0.023633 & -0.3223 & 0.373788 \tabularnewline
41 & -0.033594 & -0.4582 & 0.323686 \tabularnewline
42 & -0.000288 & -0.0039 & 0.498432 \tabularnewline
43 & -0.017952 & -0.2448 & 0.403428 \tabularnewline
44 & 0.023449 & 0.3198 & 0.374739 \tabularnewline
45 & -0.035083 & -0.4785 & 0.316438 \tabularnewline
46 & 0.021124 & 0.2881 & 0.386798 \tabularnewline
47 & -0.024776 & -0.3379 & 0.36791 \tabularnewline
48 & 0.0065 & 0.0886 & 0.46473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39878&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]-0.226516[/C][C]-3.0893[/C][C]0.001157[/C][/ROW]
[ROW][C]2[/C][C]-0.225197[/C][C]-3.0713[/C][C]0.001226[/C][/ROW]
[ROW][C]3[/C][C]-0.195688[/C][C]-2.6688[/C][C]0.004142[/C][/ROW]
[ROW][C]4[/C][C]-0.066693[/C][C]-0.9096[/C][C]0.182114[/C][/ROW]
[ROW][C]5[/C][C]-0.051054[/C][C]-0.6963[/C][C]0.243562[/C][/ROW]
[ROW][C]6[/C][C]-0.262753[/C][C]-3.5835[/C][C]0.000216[/C][/ROW]
[ROW][C]7[/C][C]-0.155593[/C][C]-2.122[/C][C]0.01758[/C][/ROW]
[ROW][C]8[/C][C]-0.137772[/C][C]-1.879[/C][C]0.030907[/C][/ROW]
[ROW][C]9[/C][C]-0.244609[/C][C]-3.336[/C][C]0.000513[/C][/ROW]
[ROW][C]10[/C][C]-0.409981[/C][C]-5.5914[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]-0.844131[/C][C]-11.5124[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.227101[/C][C]3.0972[/C][C]0.001128[/C][/ROW]
[ROW][C]13[/C][C]-0.021692[/C][C]-0.2958[/C][C]0.383841[/C][/ROW]
[ROW][C]14[/C][C]0.008246[/C][C]0.1125[/C][C]0.455288[/C][/ROW]
[ROW][C]15[/C][C]-0.046366[/C][C]-0.6324[/C][C]0.263967[/C][/ROW]
[ROW][C]16[/C][C]-0.040292[/C][C]-0.5495[/C][C]0.291656[/C][/ROW]
[ROW][C]17[/C][C]-0.017583[/C][C]-0.2398[/C][C]0.405376[/C][/ROW]
[ROW][C]18[/C][C]0.019098[/C][C]0.2605[/C][C]0.397398[/C][/ROW]
[ROW][C]19[/C][C]0.009556[/C][C]0.1303[/C][C]0.448225[/C][/ROW]
[ROW][C]20[/C][C]0.077711[/C][C]1.0598[/C][C]0.145298[/C][/ROW]
[ROW][C]21[/C][C]0.012142[/C][C]0.1656[/C][C]0.43433[/C][/ROW]
[ROW][C]22[/C][C]-0.033764[/C][C]-0.4605[/C][C]0.322856[/C][/ROW]
[ROW][C]23[/C][C]-0.15587[/C][C]-2.1258[/C][C]0.01742[/C][/ROW]
[ROW][C]24[/C][C]0.085325[/C][C]1.1637[/C][C]0.123023[/C][/ROW]
[ROW][C]25[/C][C]-0.025988[/C][C]-0.3544[/C][C]0.361711[/C][/ROW]
[ROW][C]26[/C][C]-0.05805[/C][C]-0.7917[/C][C]0.214773[/C][/ROW]
[ROW][C]27[/C][C]0.06004[/C][C]0.8188[/C][C]0.206963[/C][/ROW]
[ROW][C]28[/C][C]-0.021338[/C][C]-0.291[/C][C]0.385685[/C][/ROW]
[ROW][C]29[/C][C]-0.00674[/C][C]-0.0919[/C][C]0.46343[/C][/ROW]
[ROW][C]30[/C][C]0.002611[/C][C]0.0356[/C][C]0.485816[/C][/ROW]
[ROW][C]31[/C][C]-0.007079[/C][C]-0.0965[/C][C]0.461594[/C][/ROW]
[ROW][C]32[/C][C]-0.053895[/C][C]-0.735[/C][C]0.231622[/C][/ROW]
[ROW][C]33[/C][C]0.031359[/C][C]0.4277[/C][C]0.334688[/C][/ROW]
[ROW][C]34[/C][C]0.005392[/C][C]0.0735[/C][C]0.470728[/C][/ROW]
[ROW][C]35[/C][C]-0.052287[/C][C]-0.7131[/C][C]0.238338[/C][/ROW]
[ROW][C]36[/C][C]-0.00968[/C][C]-0.132[/C][C]0.447558[/C][/ROW]
[ROW][C]37[/C][C]0.016223[/C][C]0.2212[/C][C]0.412571[/C][/ROW]
[ROW][C]38[/C][C]0.01374[/C][C]0.1874[/C][C]0.425778[/C][/ROW]
[ROW][C]39[/C][C]-0.050065[/C][C]-0.6828[/C][C]0.247794[/C][/ROW]
[ROW][C]40[/C][C]-0.023633[/C][C]-0.3223[/C][C]0.373788[/C][/ROW]
[ROW][C]41[/C][C]-0.033594[/C][C]-0.4582[/C][C]0.323686[/C][/ROW]
[ROW][C]42[/C][C]-0.000288[/C][C]-0.0039[/C][C]0.498432[/C][/ROW]
[ROW][C]43[/C][C]-0.017952[/C][C]-0.2448[/C][C]0.403428[/C][/ROW]
[ROW][C]44[/C][C]0.023449[/C][C]0.3198[/C][C]0.374739[/C][/ROW]
[ROW][C]45[/C][C]-0.035083[/C][C]-0.4785[/C][C]0.316438[/C][/ROW]
[ROW][C]46[/C][C]0.021124[/C][C]0.2881[/C][C]0.386798[/C][/ROW]
[ROW][C]47[/C][C]-0.024776[/C][C]-0.3379[/C][C]0.36791[/C][/ROW]
[ROW][C]48[/C][C]0.0065[/C][C]0.0886[/C][C]0.46473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39878&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39878&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
1-0.226516-3.08930.001157
2-0.225197-3.07130.001226
3-0.195688-2.66880.004142
4-0.066693-0.90960.182114
5-0.051054-0.69630.243562
6-0.262753-3.58350.000216
7-0.155593-2.1220.01758
8-0.137772-1.8790.030907
9-0.244609-3.3360.000513
10-0.409981-5.59140
11-0.844131-11.51240
120.2271013.09720.001128
13-0.021692-0.29580.383841
140.0082460.11250.455288
15-0.046366-0.63240.263967
16-0.040292-0.54950.291656
17-0.017583-0.23980.405376
180.0190980.26050.397398
190.0095560.13030.448225
200.0777111.05980.145298
210.0121420.16560.43433
22-0.033764-0.46050.322856
23-0.15587-2.12580.01742
240.0853251.16370.123023
25-0.025988-0.35440.361711
26-0.05805-0.79170.214773
270.060040.81880.206963
28-0.021338-0.2910.385685
29-0.00674-0.09190.46343
300.0026110.03560.485816
31-0.007079-0.09650.461594
32-0.053895-0.7350.231622
330.0313590.42770.334688
340.0053920.07350.470728
35-0.052287-0.71310.238338
36-0.00968-0.1320.447558
370.0162230.22120.412571
380.013740.18740.425778
39-0.050065-0.68280.247794
40-0.023633-0.32230.373788
41-0.033594-0.45820.323686
42-0.000288-0.00390.498432
43-0.017952-0.24480.403428
440.0234490.31980.374739
45-0.035083-0.47850.316438
460.0211240.28810.386798
47-0.024776-0.33790.36791
480.00650.08860.46473



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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 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')