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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, 03 May 2010 18:52:54 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/03/t12729129009lcqfmwbppbo7v7.htm/, Retrieved Thu, 28 Mar 2024 14:12:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75295, Retrieved Thu, 28 Mar 2024 14:12:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact118
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2010-05-03 18:52:54] [c2fbba04702f7f714f5f9c5d7ee07bac] [Current]
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Dataseries X:
464
675
703
887
1139
1077
1318
1260
1120
963
996
960
530
883
894
1045
1199
1287
1565
1577
1076
918
1008
1063
544
635
804
980
1018
1064
1404
1286
1104
999
996
1015
615
722
832
977
1270
1437
1520
1708
1151
934
1159
1209
699
830
996
1124
1458
1270
1753
2258
1208
1241
1265
1828
809
997
1164
1205
1538
1513
1378
2083
1357
1536
1526
1376
779
1005
1193
1522
1539
1546
2116
2326
1596
1356
1553
1613
814
1150
1225
1691
1759
1754
2100
2062
2012
1897
1964
2186
966
1549
1538
1612
2078
2137
2907
2249
1883
1739
1828
1868
1138
1430
1809
1763
2200
2067
2503
2141
2103
1972
2181
2344
970
1199
1718
1683
2025
2051
2439
2353
2230
1852
2147
2286
1007
1665
1642
1518
1831
2207
2822
2393
2306
1785
2047
2171
1212
1335
2011
1860
1954
2152
2835
2224
2182
1992
2389
2724
891
1247
2017
2257
2255
2255
3057
3330
1896
2096
2374
2535
1041
1728
2201
2455
2204
2660
3670
2665
2639
2226
2586
2684
1185
1749
2459
2618
2585
3310
3923




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75295&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75295&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75295&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.208239-2.840.002507
2-0.233893-3.18990.000835
30.0509880.69540.243842
40.182052.48280.00696
50.0087320.11910.452666
6-0.522238-7.12240
70.0062190.08480.466252
80.1847752.520.006288
90.0168380.22960.409313
10-0.226165-3.08450.001175
11-0.078865-1.07560.141755
120.6860789.35690
13-0.105039-1.43250.076834
14-0.2122-2.8940.002129
150.0642010.87560.191193
160.1887682.57450.005409
17-0.046521-0.63450.263278
18-0.468631-6.39130
190.0722310.98510.162926
200.0933171.27270.102361
210.0181440.24750.402414
22-0.186831-2.5480.005821
23-0.061368-0.8370.201847
240.616028.40140
25-0.092137-1.25660.10524
26-0.184869-2.52130.006266
270.0562410.7670.222021
280.1375111.87540.031152
29-0.057105-0.77880.218542
30-0.351307-4.79122e-06
310.0168990.23050.408989
320.0701960.95730.169817
330.0515230.70270.241567
34-0.172129-2.34750.009975
35-0.05862-0.79950.212517
360.5452967.43680
37-0.088716-1.20990.113923
38-0.124934-1.70390.045037
390.0207140.28250.388934
400.1273431.73670.042045
41-0.034809-0.47470.317767
42-0.361683-4.93271e-06
430.0781761.06620.143862
440.0103060.14060.444188
450.0365880.4990.309184
46-0.114463-1.56110.060104
47-0.052645-0.7180.236836
480.450316.14140

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.208239 & -2.84 & 0.002507 \tabularnewline
2 & -0.233893 & -3.1899 & 0.000835 \tabularnewline
3 & 0.050988 & 0.6954 & 0.243842 \tabularnewline
4 & 0.18205 & 2.4828 & 0.00696 \tabularnewline
5 & 0.008732 & 0.1191 & 0.452666 \tabularnewline
6 & -0.522238 & -7.1224 & 0 \tabularnewline
7 & 0.006219 & 0.0848 & 0.466252 \tabularnewline
8 & 0.184775 & 2.52 & 0.006288 \tabularnewline
9 & 0.016838 & 0.2296 & 0.409313 \tabularnewline
10 & -0.226165 & -3.0845 & 0.001175 \tabularnewline
11 & -0.078865 & -1.0756 & 0.141755 \tabularnewline
12 & 0.686078 & 9.3569 & 0 \tabularnewline
13 & -0.105039 & -1.4325 & 0.076834 \tabularnewline
14 & -0.2122 & -2.894 & 0.002129 \tabularnewline
15 & 0.064201 & 0.8756 & 0.191193 \tabularnewline
16 & 0.188768 & 2.5745 & 0.005409 \tabularnewline
17 & -0.046521 & -0.6345 & 0.263278 \tabularnewline
18 & -0.468631 & -6.3913 & 0 \tabularnewline
19 & 0.072231 & 0.9851 & 0.162926 \tabularnewline
20 & 0.093317 & 1.2727 & 0.102361 \tabularnewline
21 & 0.018144 & 0.2475 & 0.402414 \tabularnewline
22 & -0.186831 & -2.548 & 0.005821 \tabularnewline
23 & -0.061368 & -0.837 & 0.201847 \tabularnewline
24 & 0.61602 & 8.4014 & 0 \tabularnewline
25 & -0.092137 & -1.2566 & 0.10524 \tabularnewline
26 & -0.184869 & -2.5213 & 0.006266 \tabularnewline
27 & 0.056241 & 0.767 & 0.222021 \tabularnewline
28 & 0.137511 & 1.8754 & 0.031152 \tabularnewline
29 & -0.057105 & -0.7788 & 0.218542 \tabularnewline
30 & -0.351307 & -4.7912 & 2e-06 \tabularnewline
31 & 0.016899 & 0.2305 & 0.408989 \tabularnewline
32 & 0.070196 & 0.9573 & 0.169817 \tabularnewline
33 & 0.051523 & 0.7027 & 0.241567 \tabularnewline
34 & -0.172129 & -2.3475 & 0.009975 \tabularnewline
35 & -0.05862 & -0.7995 & 0.212517 \tabularnewline
36 & 0.545296 & 7.4368 & 0 \tabularnewline
37 & -0.088716 & -1.2099 & 0.113923 \tabularnewline
38 & -0.124934 & -1.7039 & 0.045037 \tabularnewline
39 & 0.020714 & 0.2825 & 0.388934 \tabularnewline
40 & 0.127343 & 1.7367 & 0.042045 \tabularnewline
41 & -0.034809 & -0.4747 & 0.317767 \tabularnewline
42 & -0.361683 & -4.9327 & 1e-06 \tabularnewline
43 & 0.078176 & 1.0662 & 0.143862 \tabularnewline
44 & 0.010306 & 0.1406 & 0.444188 \tabularnewline
45 & 0.036588 & 0.499 & 0.309184 \tabularnewline
46 & -0.114463 & -1.5611 & 0.060104 \tabularnewline
47 & -0.052645 & -0.718 & 0.236836 \tabularnewline
48 & 0.45031 & 6.1414 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75295&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]-0.208239[/C][C]-2.84[/C][C]0.002507[/C][/ROW]
[ROW][C]2[/C][C]-0.233893[/C][C]-3.1899[/C][C]0.000835[/C][/ROW]
[ROW][C]3[/C][C]0.050988[/C][C]0.6954[/C][C]0.243842[/C][/ROW]
[ROW][C]4[/C][C]0.18205[/C][C]2.4828[/C][C]0.00696[/C][/ROW]
[ROW][C]5[/C][C]0.008732[/C][C]0.1191[/C][C]0.452666[/C][/ROW]
[ROW][C]6[/C][C]-0.522238[/C][C]-7.1224[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.006219[/C][C]0.0848[/C][C]0.466252[/C][/ROW]
[ROW][C]8[/C][C]0.184775[/C][C]2.52[/C][C]0.006288[/C][/ROW]
[ROW][C]9[/C][C]0.016838[/C][C]0.2296[/C][C]0.409313[/C][/ROW]
[ROW][C]10[/C][C]-0.226165[/C][C]-3.0845[/C][C]0.001175[/C][/ROW]
[ROW][C]11[/C][C]-0.078865[/C][C]-1.0756[/C][C]0.141755[/C][/ROW]
[ROW][C]12[/C][C]0.686078[/C][C]9.3569[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.105039[/C][C]-1.4325[/C][C]0.076834[/C][/ROW]
[ROW][C]14[/C][C]-0.2122[/C][C]-2.894[/C][C]0.002129[/C][/ROW]
[ROW][C]15[/C][C]0.064201[/C][C]0.8756[/C][C]0.191193[/C][/ROW]
[ROW][C]16[/C][C]0.188768[/C][C]2.5745[/C][C]0.005409[/C][/ROW]
[ROW][C]17[/C][C]-0.046521[/C][C]-0.6345[/C][C]0.263278[/C][/ROW]
[ROW][C]18[/C][C]-0.468631[/C][C]-6.3913[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0.072231[/C][C]0.9851[/C][C]0.162926[/C][/ROW]
[ROW][C]20[/C][C]0.093317[/C][C]1.2727[/C][C]0.102361[/C][/ROW]
[ROW][C]21[/C][C]0.018144[/C][C]0.2475[/C][C]0.402414[/C][/ROW]
[ROW][C]22[/C][C]-0.186831[/C][C]-2.548[/C][C]0.005821[/C][/ROW]
[ROW][C]23[/C][C]-0.061368[/C][C]-0.837[/C][C]0.201847[/C][/ROW]
[ROW][C]24[/C][C]0.61602[/C][C]8.4014[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.092137[/C][C]-1.2566[/C][C]0.10524[/C][/ROW]
[ROW][C]26[/C][C]-0.184869[/C][C]-2.5213[/C][C]0.006266[/C][/ROW]
[ROW][C]27[/C][C]0.056241[/C][C]0.767[/C][C]0.222021[/C][/ROW]
[ROW][C]28[/C][C]0.137511[/C][C]1.8754[/C][C]0.031152[/C][/ROW]
[ROW][C]29[/C][C]-0.057105[/C][C]-0.7788[/C][C]0.218542[/C][/ROW]
[ROW][C]30[/C][C]-0.351307[/C][C]-4.7912[/C][C]2e-06[/C][/ROW]
[ROW][C]31[/C][C]0.016899[/C][C]0.2305[/C][C]0.408989[/C][/ROW]
[ROW][C]32[/C][C]0.070196[/C][C]0.9573[/C][C]0.169817[/C][/ROW]
[ROW][C]33[/C][C]0.051523[/C][C]0.7027[/C][C]0.241567[/C][/ROW]
[ROW][C]34[/C][C]-0.172129[/C][C]-2.3475[/C][C]0.009975[/C][/ROW]
[ROW][C]35[/C][C]-0.05862[/C][C]-0.7995[/C][C]0.212517[/C][/ROW]
[ROW][C]36[/C][C]0.545296[/C][C]7.4368[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.088716[/C][C]-1.2099[/C][C]0.113923[/C][/ROW]
[ROW][C]38[/C][C]-0.124934[/C][C]-1.7039[/C][C]0.045037[/C][/ROW]
[ROW][C]39[/C][C]0.020714[/C][C]0.2825[/C][C]0.388934[/C][/ROW]
[ROW][C]40[/C][C]0.127343[/C][C]1.7367[/C][C]0.042045[/C][/ROW]
[ROW][C]41[/C][C]-0.034809[/C][C]-0.4747[/C][C]0.317767[/C][/ROW]
[ROW][C]42[/C][C]-0.361683[/C][C]-4.9327[/C][C]1e-06[/C][/ROW]
[ROW][C]43[/C][C]0.078176[/C][C]1.0662[/C][C]0.143862[/C][/ROW]
[ROW][C]44[/C][C]0.010306[/C][C]0.1406[/C][C]0.444188[/C][/ROW]
[ROW][C]45[/C][C]0.036588[/C][C]0.499[/C][C]0.309184[/C][/ROW]
[ROW][C]46[/C][C]-0.114463[/C][C]-1.5611[/C][C]0.060104[/C][/ROW]
[ROW][C]47[/C][C]-0.052645[/C][C]-0.718[/C][C]0.236836[/C][/ROW]
[ROW][C]48[/C][C]0.45031[/C][C]6.1414[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75295&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75295&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
1-0.208239-2.840.002507
2-0.233893-3.18990.000835
30.0509880.69540.243842
40.182052.48280.00696
50.0087320.11910.452666
6-0.522238-7.12240
70.0062190.08480.466252
80.1847752.520.006288
90.0168380.22960.409313
10-0.226165-3.08450.001175
11-0.078865-1.07560.141755
120.6860789.35690
13-0.105039-1.43250.076834
14-0.2122-2.8940.002129
150.0642010.87560.191193
160.1887682.57450.005409
17-0.046521-0.63450.263278
18-0.468631-6.39130
190.0722310.98510.162926
200.0933171.27270.102361
210.0181440.24750.402414
22-0.186831-2.5480.005821
23-0.061368-0.8370.201847
240.616028.40140
25-0.092137-1.25660.10524
26-0.184869-2.52130.006266
270.0562410.7670.222021
280.1375111.87540.031152
29-0.057105-0.77880.218542
30-0.351307-4.79122e-06
310.0168990.23050.408989
320.0701960.95730.169817
330.0515230.70270.241567
34-0.172129-2.34750.009975
35-0.05862-0.79950.212517
360.5452967.43680
37-0.088716-1.20990.113923
38-0.124934-1.70390.045037
390.0207140.28250.388934
400.1273431.73670.042045
41-0.034809-0.47470.317767
42-0.361683-4.93271e-06
430.0781761.06620.143862
440.0103060.14060.444188
450.0365880.4990.309184
46-0.114463-1.56110.060104
47-0.052645-0.7180.236836
480.450316.14140







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.208239-2.840.002507
2-0.289824-3.95275.5e-05
3-0.082379-1.12350.131338
40.1227631.67430.047879
50.103571.41250.079736
6-0.486631-6.63680
7-0.350313-4.77762e-06
8-0.220146-3.00240.001523
9-0.018564-0.25320.400202
10-0.127103-1.73350.042336
11-0.327237-4.46297e-06
120.398635.43660
130.1597922.17930.015284
140.0612980.8360.202117
150.0401530.54760.292306
160.0464780.63390.263471
17-0.062408-0.85110.197897
18-0.107077-1.46030.072942
190.0766371.04520.148647
20-0.117644-1.60450.055155
21-0.02075-0.2830.388746
220.0263830.35980.359699
23-0.120118-1.63820.051536
240.158992.16830.015701
250.1224691.67030.048275
260.0540670.73740.230913
27-0.034113-0.46520.321153
28-0.13182-1.79780.036916
29-0.140324-1.91380.028593
300.0963171.31360.0953
310.0167850.22890.409594
32-0.033563-0.45770.323836
330.0788011.07470.141951
34-0.005498-0.0750.470153
35-0.130284-1.77680.038615
360.1193611.62790.052623
370.0080390.10960.456408
380.0066630.09090.463848
390.002610.03560.485819
40-0.032029-0.43680.331377
41-0.010534-0.14370.44296
42-0.048947-0.66750.252626
430.1202171.63950.051396
440.0082640.11270.455194
45-0.057899-0.78960.215374
46-0.009242-0.1260.449915
470.0110810.15110.440019
48-0.041454-0.56540.286256

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.208239 & -2.84 & 0.002507 \tabularnewline
2 & -0.289824 & -3.9527 & 5.5e-05 \tabularnewline
3 & -0.082379 & -1.1235 & 0.131338 \tabularnewline
4 & 0.122763 & 1.6743 & 0.047879 \tabularnewline
5 & 0.10357 & 1.4125 & 0.079736 \tabularnewline
6 & -0.486631 & -6.6368 & 0 \tabularnewline
7 & -0.350313 & -4.7776 & 2e-06 \tabularnewline
8 & -0.220146 & -3.0024 & 0.001523 \tabularnewline
9 & -0.018564 & -0.2532 & 0.400202 \tabularnewline
10 & -0.127103 & -1.7335 & 0.042336 \tabularnewline
11 & -0.327237 & -4.4629 & 7e-06 \tabularnewline
12 & 0.39863 & 5.4366 & 0 \tabularnewline
13 & 0.159792 & 2.1793 & 0.015284 \tabularnewline
14 & 0.061298 & 0.836 & 0.202117 \tabularnewline
15 & 0.040153 & 0.5476 & 0.292306 \tabularnewline
16 & 0.046478 & 0.6339 & 0.263471 \tabularnewline
17 & -0.062408 & -0.8511 & 0.197897 \tabularnewline
18 & -0.107077 & -1.4603 & 0.072942 \tabularnewline
19 & 0.076637 & 1.0452 & 0.148647 \tabularnewline
20 & -0.117644 & -1.6045 & 0.055155 \tabularnewline
21 & -0.02075 & -0.283 & 0.388746 \tabularnewline
22 & 0.026383 & 0.3598 & 0.359699 \tabularnewline
23 & -0.120118 & -1.6382 & 0.051536 \tabularnewline
24 & 0.15899 & 2.1683 & 0.015701 \tabularnewline
25 & 0.122469 & 1.6703 & 0.048275 \tabularnewline
26 & 0.054067 & 0.7374 & 0.230913 \tabularnewline
27 & -0.034113 & -0.4652 & 0.321153 \tabularnewline
28 & -0.13182 & -1.7978 & 0.036916 \tabularnewline
29 & -0.140324 & -1.9138 & 0.028593 \tabularnewline
30 & 0.096317 & 1.3136 & 0.0953 \tabularnewline
31 & 0.016785 & 0.2289 & 0.409594 \tabularnewline
32 & -0.033563 & -0.4577 & 0.323836 \tabularnewline
33 & 0.078801 & 1.0747 & 0.141951 \tabularnewline
34 & -0.005498 & -0.075 & 0.470153 \tabularnewline
35 & -0.130284 & -1.7768 & 0.038615 \tabularnewline
36 & 0.119361 & 1.6279 & 0.052623 \tabularnewline
37 & 0.008039 & 0.1096 & 0.456408 \tabularnewline
38 & 0.006663 & 0.0909 & 0.463848 \tabularnewline
39 & 0.00261 & 0.0356 & 0.485819 \tabularnewline
40 & -0.032029 & -0.4368 & 0.331377 \tabularnewline
41 & -0.010534 & -0.1437 & 0.44296 \tabularnewline
42 & -0.048947 & -0.6675 & 0.252626 \tabularnewline
43 & 0.120217 & 1.6395 & 0.051396 \tabularnewline
44 & 0.008264 & 0.1127 & 0.455194 \tabularnewline
45 & -0.057899 & -0.7896 & 0.215374 \tabularnewline
46 & -0.009242 & -0.126 & 0.449915 \tabularnewline
47 & 0.011081 & 0.1511 & 0.440019 \tabularnewline
48 & -0.041454 & -0.5654 & 0.286256 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75295&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]-0.208239[/C][C]-2.84[/C][C]0.002507[/C][/ROW]
[ROW][C]2[/C][C]-0.289824[/C][C]-3.9527[/C][C]5.5e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.082379[/C][C]-1.1235[/C][C]0.131338[/C][/ROW]
[ROW][C]4[/C][C]0.122763[/C][C]1.6743[/C][C]0.047879[/C][/ROW]
[ROW][C]5[/C][C]0.10357[/C][C]1.4125[/C][C]0.079736[/C][/ROW]
[ROW][C]6[/C][C]-0.486631[/C][C]-6.6368[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]-0.350313[/C][C]-4.7776[/C][C]2e-06[/C][/ROW]
[ROW][C]8[/C][C]-0.220146[/C][C]-3.0024[/C][C]0.001523[/C][/ROW]
[ROW][C]9[/C][C]-0.018564[/C][C]-0.2532[/C][C]0.400202[/C][/ROW]
[ROW][C]10[/C][C]-0.127103[/C][C]-1.7335[/C][C]0.042336[/C][/ROW]
[ROW][C]11[/C][C]-0.327237[/C][C]-4.4629[/C][C]7e-06[/C][/ROW]
[ROW][C]12[/C][C]0.39863[/C][C]5.4366[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.159792[/C][C]2.1793[/C][C]0.015284[/C][/ROW]
[ROW][C]14[/C][C]0.061298[/C][C]0.836[/C][C]0.202117[/C][/ROW]
[ROW][C]15[/C][C]0.040153[/C][C]0.5476[/C][C]0.292306[/C][/ROW]
[ROW][C]16[/C][C]0.046478[/C][C]0.6339[/C][C]0.263471[/C][/ROW]
[ROW][C]17[/C][C]-0.062408[/C][C]-0.8511[/C][C]0.197897[/C][/ROW]
[ROW][C]18[/C][C]-0.107077[/C][C]-1.4603[/C][C]0.072942[/C][/ROW]
[ROW][C]19[/C][C]0.076637[/C][C]1.0452[/C][C]0.148647[/C][/ROW]
[ROW][C]20[/C][C]-0.117644[/C][C]-1.6045[/C][C]0.055155[/C][/ROW]
[ROW][C]21[/C][C]-0.02075[/C][C]-0.283[/C][C]0.388746[/C][/ROW]
[ROW][C]22[/C][C]0.026383[/C][C]0.3598[/C][C]0.359699[/C][/ROW]
[ROW][C]23[/C][C]-0.120118[/C][C]-1.6382[/C][C]0.051536[/C][/ROW]
[ROW][C]24[/C][C]0.15899[/C][C]2.1683[/C][C]0.015701[/C][/ROW]
[ROW][C]25[/C][C]0.122469[/C][C]1.6703[/C][C]0.048275[/C][/ROW]
[ROW][C]26[/C][C]0.054067[/C][C]0.7374[/C][C]0.230913[/C][/ROW]
[ROW][C]27[/C][C]-0.034113[/C][C]-0.4652[/C][C]0.321153[/C][/ROW]
[ROW][C]28[/C][C]-0.13182[/C][C]-1.7978[/C][C]0.036916[/C][/ROW]
[ROW][C]29[/C][C]-0.140324[/C][C]-1.9138[/C][C]0.028593[/C][/ROW]
[ROW][C]30[/C][C]0.096317[/C][C]1.3136[/C][C]0.0953[/C][/ROW]
[ROW][C]31[/C][C]0.016785[/C][C]0.2289[/C][C]0.409594[/C][/ROW]
[ROW][C]32[/C][C]-0.033563[/C][C]-0.4577[/C][C]0.323836[/C][/ROW]
[ROW][C]33[/C][C]0.078801[/C][C]1.0747[/C][C]0.141951[/C][/ROW]
[ROW][C]34[/C][C]-0.005498[/C][C]-0.075[/C][C]0.470153[/C][/ROW]
[ROW][C]35[/C][C]-0.130284[/C][C]-1.7768[/C][C]0.038615[/C][/ROW]
[ROW][C]36[/C][C]0.119361[/C][C]1.6279[/C][C]0.052623[/C][/ROW]
[ROW][C]37[/C][C]0.008039[/C][C]0.1096[/C][C]0.456408[/C][/ROW]
[ROW][C]38[/C][C]0.006663[/C][C]0.0909[/C][C]0.463848[/C][/ROW]
[ROW][C]39[/C][C]0.00261[/C][C]0.0356[/C][C]0.485819[/C][/ROW]
[ROW][C]40[/C][C]-0.032029[/C][C]-0.4368[/C][C]0.331377[/C][/ROW]
[ROW][C]41[/C][C]-0.010534[/C][C]-0.1437[/C][C]0.44296[/C][/ROW]
[ROW][C]42[/C][C]-0.048947[/C][C]-0.6675[/C][C]0.252626[/C][/ROW]
[ROW][C]43[/C][C]0.120217[/C][C]1.6395[/C][C]0.051396[/C][/ROW]
[ROW][C]44[/C][C]0.008264[/C][C]0.1127[/C][C]0.455194[/C][/ROW]
[ROW][C]45[/C][C]-0.057899[/C][C]-0.7896[/C][C]0.215374[/C][/ROW]
[ROW][C]46[/C][C]-0.009242[/C][C]-0.126[/C][C]0.449915[/C][/ROW]
[ROW][C]47[/C][C]0.011081[/C][C]0.1511[/C][C]0.440019[/C][/ROW]
[ROW][C]48[/C][C]-0.041454[/C][C]-0.5654[/C][C]0.286256[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75295&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75295&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
1-0.208239-2.840.002507
2-0.289824-3.95275.5e-05
3-0.082379-1.12350.131338
40.1227631.67430.047879
50.103571.41250.079736
6-0.486631-6.63680
7-0.350313-4.77762e-06
8-0.220146-3.00240.001523
9-0.018564-0.25320.400202
10-0.127103-1.73350.042336
11-0.327237-4.46297e-06
120.398635.43660
130.1597922.17930.015284
140.0612980.8360.202117
150.0401530.54760.292306
160.0464780.63390.263471
17-0.062408-0.85110.197897
18-0.107077-1.46030.072942
190.0766371.04520.148647
20-0.117644-1.60450.055155
21-0.02075-0.2830.388746
220.0263830.35980.359699
23-0.120118-1.63820.051536
240.158992.16830.015701
250.1224691.67030.048275
260.0540670.73740.230913
27-0.034113-0.46520.321153
28-0.13182-1.79780.036916
29-0.140324-1.91380.028593
300.0963171.31360.0953
310.0167850.22890.409594
32-0.033563-0.45770.323836
330.0788011.07470.141951
34-0.005498-0.0750.470153
35-0.130284-1.77680.038615
360.1193611.62790.052623
370.0080390.10960.456408
380.0066630.09090.463848
390.002610.03560.485819
40-0.032029-0.43680.331377
41-0.010534-0.14370.44296
42-0.048947-0.66750.252626
430.1202171.63950.051396
440.0082640.11270.455194
45-0.057899-0.78960.215374
46-0.009242-0.1260.449915
470.0110810.15110.440019
48-0.041454-0.56540.286256



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')