Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 16 Jan 2011 12:29:25 +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/2011/Jan/16/t1295180921hg9op3xqnxr41b9.htm/, Retrieved Thu, 31 Oct 2024 22:53:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=117384, Retrieved Thu, 31 Oct 2024 22:53:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact198
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2011-01-16 11:37:06] [e35ce2e7ec49602a729c3c8722e619b0]
- RMPD    [(Partial) Autocorrelation Function] [] [2011-01-16 12:29:25] [9ecedc6075144b73bec317d56fadfdf0] [Current]
Feedback Forum

Post a new message
Dataseries X:
10574
10653
10805
10872
10625
10407
10463
10556
10646
10702
11353
11346
11451
11964
12574
13031
13812
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18073
18483
19644
19195
19650
20830
23595
22937
21814
21928
21777
21383
21467
22052
22680
24320
24977
25204
27390
26434
27525
30695
32436
30160
30236




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117384&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117384&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117384&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9375138.01010
20.8723797.45360
30.7975586.81430
40.7281516.22130
50.6701525.72580
60.6202255.29921e-06
70.5646834.82474e-06
80.5199274.44231.6e-05
90.4771974.07725.7e-05
100.4362613.72740.00019
110.4091073.49540.000404
120.3826793.26960.000822
130.3540223.02480.001717
140.3261222.78640.003394
150.2985082.55050.006428
160.2672232.28320.012667
170.2325831.98720.025327
180.1957971.67290.049315
190.1589171.35780.089357
200.137721.17670.121573
210.1244951.06370.145488
220.1184181.01180.157497
230.1010090.8630.195477
240.0892090.76220.224198
250.0776230.66320.254641
260.0574950.49120.312366
270.0404460.34560.365329
280.0199910.17080.432426
29-0.003675-0.03140.487519
30-0.036616-0.31280.377645
31-0.066515-0.56830.285786
32-0.09594-0.81970.207524
33-0.114096-0.97480.16643
34-0.135725-1.15960.124988
35-0.156233-1.33490.093036
36-0.171852-1.46830.073158
37-0.184366-1.57520.059764
38-0.195595-1.67120.049486
39-0.205093-1.75230.041959
40-0.215177-1.83850.03503
41-0.228779-1.95470.027225
42-0.233525-1.99520.024875
43-0.23875-2.03990.022491
44-0.241988-2.06750.021114
45-0.246048-2.10220.019491
46-0.254762-2.17670.016369
47-0.26186-2.23730.014159
48-0.266784-2.27940.012784

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.937513 & 8.0101 & 0 \tabularnewline
2 & 0.872379 & 7.4536 & 0 \tabularnewline
3 & 0.797558 & 6.8143 & 0 \tabularnewline
4 & 0.728151 & 6.2213 & 0 \tabularnewline
5 & 0.670152 & 5.7258 & 0 \tabularnewline
6 & 0.620225 & 5.2992 & 1e-06 \tabularnewline
7 & 0.564683 & 4.8247 & 4e-06 \tabularnewline
8 & 0.519927 & 4.4423 & 1.6e-05 \tabularnewline
9 & 0.477197 & 4.0772 & 5.7e-05 \tabularnewline
10 & 0.436261 & 3.7274 & 0.00019 \tabularnewline
11 & 0.409107 & 3.4954 & 0.000404 \tabularnewline
12 & 0.382679 & 3.2696 & 0.000822 \tabularnewline
13 & 0.354022 & 3.0248 & 0.001717 \tabularnewline
14 & 0.326122 & 2.7864 & 0.003394 \tabularnewline
15 & 0.298508 & 2.5505 & 0.006428 \tabularnewline
16 & 0.267223 & 2.2832 & 0.012667 \tabularnewline
17 & 0.232583 & 1.9872 & 0.025327 \tabularnewline
18 & 0.195797 & 1.6729 & 0.049315 \tabularnewline
19 & 0.158917 & 1.3578 & 0.089357 \tabularnewline
20 & 0.13772 & 1.1767 & 0.121573 \tabularnewline
21 & 0.124495 & 1.0637 & 0.145488 \tabularnewline
22 & 0.118418 & 1.0118 & 0.157497 \tabularnewline
23 & 0.101009 & 0.863 & 0.195477 \tabularnewline
24 & 0.089209 & 0.7622 & 0.224198 \tabularnewline
25 & 0.077623 & 0.6632 & 0.254641 \tabularnewline
26 & 0.057495 & 0.4912 & 0.312366 \tabularnewline
27 & 0.040446 & 0.3456 & 0.365329 \tabularnewline
28 & 0.019991 & 0.1708 & 0.432426 \tabularnewline
29 & -0.003675 & -0.0314 & 0.487519 \tabularnewline
30 & -0.036616 & -0.3128 & 0.377645 \tabularnewline
31 & -0.066515 & -0.5683 & 0.285786 \tabularnewline
32 & -0.09594 & -0.8197 & 0.207524 \tabularnewline
33 & -0.114096 & -0.9748 & 0.16643 \tabularnewline
34 & -0.135725 & -1.1596 & 0.124988 \tabularnewline
35 & -0.156233 & -1.3349 & 0.093036 \tabularnewline
36 & -0.171852 & -1.4683 & 0.073158 \tabularnewline
37 & -0.184366 & -1.5752 & 0.059764 \tabularnewline
38 & -0.195595 & -1.6712 & 0.049486 \tabularnewline
39 & -0.205093 & -1.7523 & 0.041959 \tabularnewline
40 & -0.215177 & -1.8385 & 0.03503 \tabularnewline
41 & -0.228779 & -1.9547 & 0.027225 \tabularnewline
42 & -0.233525 & -1.9952 & 0.024875 \tabularnewline
43 & -0.23875 & -2.0399 & 0.022491 \tabularnewline
44 & -0.241988 & -2.0675 & 0.021114 \tabularnewline
45 & -0.246048 & -2.1022 & 0.019491 \tabularnewline
46 & -0.254762 & -2.1767 & 0.016369 \tabularnewline
47 & -0.26186 & -2.2373 & 0.014159 \tabularnewline
48 & -0.266784 & -2.2794 & 0.012784 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117384&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]0.937513[/C][C]8.0101[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.872379[/C][C]7.4536[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.797558[/C][C]6.8143[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.728151[/C][C]6.2213[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.670152[/C][C]5.7258[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.620225[/C][C]5.2992[/C][C]1e-06[/C][/ROW]
[ROW][C]7[/C][C]0.564683[/C][C]4.8247[/C][C]4e-06[/C][/ROW]
[ROW][C]8[/C][C]0.519927[/C][C]4.4423[/C][C]1.6e-05[/C][/ROW]
[ROW][C]9[/C][C]0.477197[/C][C]4.0772[/C][C]5.7e-05[/C][/ROW]
[ROW][C]10[/C][C]0.436261[/C][C]3.7274[/C][C]0.00019[/C][/ROW]
[ROW][C]11[/C][C]0.409107[/C][C]3.4954[/C][C]0.000404[/C][/ROW]
[ROW][C]12[/C][C]0.382679[/C][C]3.2696[/C][C]0.000822[/C][/ROW]
[ROW][C]13[/C][C]0.354022[/C][C]3.0248[/C][C]0.001717[/C][/ROW]
[ROW][C]14[/C][C]0.326122[/C][C]2.7864[/C][C]0.003394[/C][/ROW]
[ROW][C]15[/C][C]0.298508[/C][C]2.5505[/C][C]0.006428[/C][/ROW]
[ROW][C]16[/C][C]0.267223[/C][C]2.2832[/C][C]0.012667[/C][/ROW]
[ROW][C]17[/C][C]0.232583[/C][C]1.9872[/C][C]0.025327[/C][/ROW]
[ROW][C]18[/C][C]0.195797[/C][C]1.6729[/C][C]0.049315[/C][/ROW]
[ROW][C]19[/C][C]0.158917[/C][C]1.3578[/C][C]0.089357[/C][/ROW]
[ROW][C]20[/C][C]0.13772[/C][C]1.1767[/C][C]0.121573[/C][/ROW]
[ROW][C]21[/C][C]0.124495[/C][C]1.0637[/C][C]0.145488[/C][/ROW]
[ROW][C]22[/C][C]0.118418[/C][C]1.0118[/C][C]0.157497[/C][/ROW]
[ROW][C]23[/C][C]0.101009[/C][C]0.863[/C][C]0.195477[/C][/ROW]
[ROW][C]24[/C][C]0.089209[/C][C]0.7622[/C][C]0.224198[/C][/ROW]
[ROW][C]25[/C][C]0.077623[/C][C]0.6632[/C][C]0.254641[/C][/ROW]
[ROW][C]26[/C][C]0.057495[/C][C]0.4912[/C][C]0.312366[/C][/ROW]
[ROW][C]27[/C][C]0.040446[/C][C]0.3456[/C][C]0.365329[/C][/ROW]
[ROW][C]28[/C][C]0.019991[/C][C]0.1708[/C][C]0.432426[/C][/ROW]
[ROW][C]29[/C][C]-0.003675[/C][C]-0.0314[/C][C]0.487519[/C][/ROW]
[ROW][C]30[/C][C]-0.036616[/C][C]-0.3128[/C][C]0.377645[/C][/ROW]
[ROW][C]31[/C][C]-0.066515[/C][C]-0.5683[/C][C]0.285786[/C][/ROW]
[ROW][C]32[/C][C]-0.09594[/C][C]-0.8197[/C][C]0.207524[/C][/ROW]
[ROW][C]33[/C][C]-0.114096[/C][C]-0.9748[/C][C]0.16643[/C][/ROW]
[ROW][C]34[/C][C]-0.135725[/C][C]-1.1596[/C][C]0.124988[/C][/ROW]
[ROW][C]35[/C][C]-0.156233[/C][C]-1.3349[/C][C]0.093036[/C][/ROW]
[ROW][C]36[/C][C]-0.171852[/C][C]-1.4683[/C][C]0.073158[/C][/ROW]
[ROW][C]37[/C][C]-0.184366[/C][C]-1.5752[/C][C]0.059764[/C][/ROW]
[ROW][C]38[/C][C]-0.195595[/C][C]-1.6712[/C][C]0.049486[/C][/ROW]
[ROW][C]39[/C][C]-0.205093[/C][C]-1.7523[/C][C]0.041959[/C][/ROW]
[ROW][C]40[/C][C]-0.215177[/C][C]-1.8385[/C][C]0.03503[/C][/ROW]
[ROW][C]41[/C][C]-0.228779[/C][C]-1.9547[/C][C]0.027225[/C][/ROW]
[ROW][C]42[/C][C]-0.233525[/C][C]-1.9952[/C][C]0.024875[/C][/ROW]
[ROW][C]43[/C][C]-0.23875[/C][C]-2.0399[/C][C]0.022491[/C][/ROW]
[ROW][C]44[/C][C]-0.241988[/C][C]-2.0675[/C][C]0.021114[/C][/ROW]
[ROW][C]45[/C][C]-0.246048[/C][C]-2.1022[/C][C]0.019491[/C][/ROW]
[ROW][C]46[/C][C]-0.254762[/C][C]-2.1767[/C][C]0.016369[/C][/ROW]
[ROW][C]47[/C][C]-0.26186[/C][C]-2.2373[/C][C]0.014159[/C][/ROW]
[ROW][C]48[/C][C]-0.266784[/C][C]-2.2794[/C][C]0.012784[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117384&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117384&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
10.9375138.01010
20.8723797.45360
30.7975586.81430
40.7281516.22130
50.6701525.72580
60.6202255.29921e-06
70.5646834.82474e-06
80.5199274.44231.6e-05
90.4771974.07725.7e-05
100.4362613.72740.00019
110.4091073.49540.000404
120.3826793.26960.000822
130.3540223.02480.001717
140.3261222.78640.003394
150.2985082.55050.006428
160.2672232.28320.012667
170.2325831.98720.025327
180.1957971.67290.049315
190.1589171.35780.089357
200.137721.17670.121573
210.1244951.06370.145488
220.1184181.01180.157497
230.1010090.8630.195477
240.0892090.76220.224198
250.0776230.66320.254641
260.0574950.49120.312366
270.0404460.34560.365329
280.0199910.17080.432426
29-0.003675-0.03140.487519
30-0.036616-0.31280.377645
31-0.066515-0.56830.285786
32-0.09594-0.81970.207524
33-0.114096-0.97480.16643
34-0.135725-1.15960.124988
35-0.156233-1.33490.093036
36-0.171852-1.46830.073158
37-0.184366-1.57520.059764
38-0.195595-1.67120.049486
39-0.205093-1.75230.041959
40-0.215177-1.83850.03503
41-0.228779-1.95470.027225
42-0.233525-1.99520.024875
43-0.23875-2.03990.022491
44-0.241988-2.06750.021114
45-0.246048-2.10220.019491
46-0.254762-2.17670.016369
47-0.26186-2.23730.014159
48-0.266784-2.27940.012784







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9375138.01010
2-0.05411-0.46230.322614
3-0.114595-0.97910.165381
40.0063810.05450.478336
50.0599020.51180.305166
60.0223220.19070.424638
7-0.095036-0.8120.209719
80.0543940.46470.321749
90.0058470.050.480147
10-0.0249-0.21270.416059
110.0816640.69770.243779
12-0.01156-0.09880.460795
13-0.044458-0.37980.352581
14-0.01476-0.12610.449995
150.0090460.07730.469303
16-0.042943-0.36690.357374
17-0.07022-0.60.275195
18-0.021853-0.18670.426203
19-0.014956-0.12780.449335
200.0964680.82420.20625
210.0413220.35310.362531
220.0194710.16640.434165
23-0.122549-1.04710.149263
240.0472590.40380.343776
250.0323760.27660.391426
26-0.117998-1.00820.15835
27-0.00102-0.00870.496537
28-0.026657-0.22780.410236
29-0.028268-0.24150.404915
30-0.109675-0.93710.175907
310.0212840.18190.428101
320.0060190.05140.479565
330.009090.07770.469154
34-0.054629-0.46680.321033
35-0.022824-0.1950.422965
360.0082950.07090.471845
37-0.019537-0.16690.433944
38-0.014718-0.12570.450138
39-0.011594-0.09910.460681
40-0.014041-0.120.452419
41-0.029782-0.25450.39993
420.0440040.3760.354015
43-0.002325-0.01990.492103
44-0.018814-0.16070.436368
45-0.024604-0.21020.417042
46-0.052903-0.4520.326304
470.0046290.03960.484278
480.0056440.04820.480835

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.937513 & 8.0101 & 0 \tabularnewline
2 & -0.05411 & -0.4623 & 0.322614 \tabularnewline
3 & -0.114595 & -0.9791 & 0.165381 \tabularnewline
4 & 0.006381 & 0.0545 & 0.478336 \tabularnewline
5 & 0.059902 & 0.5118 & 0.305166 \tabularnewline
6 & 0.022322 & 0.1907 & 0.424638 \tabularnewline
7 & -0.095036 & -0.812 & 0.209719 \tabularnewline
8 & 0.054394 & 0.4647 & 0.321749 \tabularnewline
9 & 0.005847 & 0.05 & 0.480147 \tabularnewline
10 & -0.0249 & -0.2127 & 0.416059 \tabularnewline
11 & 0.081664 & 0.6977 & 0.243779 \tabularnewline
12 & -0.01156 & -0.0988 & 0.460795 \tabularnewline
13 & -0.044458 & -0.3798 & 0.352581 \tabularnewline
14 & -0.01476 & -0.1261 & 0.449995 \tabularnewline
15 & 0.009046 & 0.0773 & 0.469303 \tabularnewline
16 & -0.042943 & -0.3669 & 0.357374 \tabularnewline
17 & -0.07022 & -0.6 & 0.275195 \tabularnewline
18 & -0.021853 & -0.1867 & 0.426203 \tabularnewline
19 & -0.014956 & -0.1278 & 0.449335 \tabularnewline
20 & 0.096468 & 0.8242 & 0.20625 \tabularnewline
21 & 0.041322 & 0.3531 & 0.362531 \tabularnewline
22 & 0.019471 & 0.1664 & 0.434165 \tabularnewline
23 & -0.122549 & -1.0471 & 0.149263 \tabularnewline
24 & 0.047259 & 0.4038 & 0.343776 \tabularnewline
25 & 0.032376 & 0.2766 & 0.391426 \tabularnewline
26 & -0.117998 & -1.0082 & 0.15835 \tabularnewline
27 & -0.00102 & -0.0087 & 0.496537 \tabularnewline
28 & -0.026657 & -0.2278 & 0.410236 \tabularnewline
29 & -0.028268 & -0.2415 & 0.404915 \tabularnewline
30 & -0.109675 & -0.9371 & 0.175907 \tabularnewline
31 & 0.021284 & 0.1819 & 0.428101 \tabularnewline
32 & 0.006019 & 0.0514 & 0.479565 \tabularnewline
33 & 0.00909 & 0.0777 & 0.469154 \tabularnewline
34 & -0.054629 & -0.4668 & 0.321033 \tabularnewline
35 & -0.022824 & -0.195 & 0.422965 \tabularnewline
36 & 0.008295 & 0.0709 & 0.471845 \tabularnewline
37 & -0.019537 & -0.1669 & 0.433944 \tabularnewline
38 & -0.014718 & -0.1257 & 0.450138 \tabularnewline
39 & -0.011594 & -0.0991 & 0.460681 \tabularnewline
40 & -0.014041 & -0.12 & 0.452419 \tabularnewline
41 & -0.029782 & -0.2545 & 0.39993 \tabularnewline
42 & 0.044004 & 0.376 & 0.354015 \tabularnewline
43 & -0.002325 & -0.0199 & 0.492103 \tabularnewline
44 & -0.018814 & -0.1607 & 0.436368 \tabularnewline
45 & -0.024604 & -0.2102 & 0.417042 \tabularnewline
46 & -0.052903 & -0.452 & 0.326304 \tabularnewline
47 & 0.004629 & 0.0396 & 0.484278 \tabularnewline
48 & 0.005644 & 0.0482 & 0.480835 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117384&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]0.937513[/C][C]8.0101[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.05411[/C][C]-0.4623[/C][C]0.322614[/C][/ROW]
[ROW][C]3[/C][C]-0.114595[/C][C]-0.9791[/C][C]0.165381[/C][/ROW]
[ROW][C]4[/C][C]0.006381[/C][C]0.0545[/C][C]0.478336[/C][/ROW]
[ROW][C]5[/C][C]0.059902[/C][C]0.5118[/C][C]0.305166[/C][/ROW]
[ROW][C]6[/C][C]0.022322[/C][C]0.1907[/C][C]0.424638[/C][/ROW]
[ROW][C]7[/C][C]-0.095036[/C][C]-0.812[/C][C]0.209719[/C][/ROW]
[ROW][C]8[/C][C]0.054394[/C][C]0.4647[/C][C]0.321749[/C][/ROW]
[ROW][C]9[/C][C]0.005847[/C][C]0.05[/C][C]0.480147[/C][/ROW]
[ROW][C]10[/C][C]-0.0249[/C][C]-0.2127[/C][C]0.416059[/C][/ROW]
[ROW][C]11[/C][C]0.081664[/C][C]0.6977[/C][C]0.243779[/C][/ROW]
[ROW][C]12[/C][C]-0.01156[/C][C]-0.0988[/C][C]0.460795[/C][/ROW]
[ROW][C]13[/C][C]-0.044458[/C][C]-0.3798[/C][C]0.352581[/C][/ROW]
[ROW][C]14[/C][C]-0.01476[/C][C]-0.1261[/C][C]0.449995[/C][/ROW]
[ROW][C]15[/C][C]0.009046[/C][C]0.0773[/C][C]0.469303[/C][/ROW]
[ROW][C]16[/C][C]-0.042943[/C][C]-0.3669[/C][C]0.357374[/C][/ROW]
[ROW][C]17[/C][C]-0.07022[/C][C]-0.6[/C][C]0.275195[/C][/ROW]
[ROW][C]18[/C][C]-0.021853[/C][C]-0.1867[/C][C]0.426203[/C][/ROW]
[ROW][C]19[/C][C]-0.014956[/C][C]-0.1278[/C][C]0.449335[/C][/ROW]
[ROW][C]20[/C][C]0.096468[/C][C]0.8242[/C][C]0.20625[/C][/ROW]
[ROW][C]21[/C][C]0.041322[/C][C]0.3531[/C][C]0.362531[/C][/ROW]
[ROW][C]22[/C][C]0.019471[/C][C]0.1664[/C][C]0.434165[/C][/ROW]
[ROW][C]23[/C][C]-0.122549[/C][C]-1.0471[/C][C]0.149263[/C][/ROW]
[ROW][C]24[/C][C]0.047259[/C][C]0.4038[/C][C]0.343776[/C][/ROW]
[ROW][C]25[/C][C]0.032376[/C][C]0.2766[/C][C]0.391426[/C][/ROW]
[ROW][C]26[/C][C]-0.117998[/C][C]-1.0082[/C][C]0.15835[/C][/ROW]
[ROW][C]27[/C][C]-0.00102[/C][C]-0.0087[/C][C]0.496537[/C][/ROW]
[ROW][C]28[/C][C]-0.026657[/C][C]-0.2278[/C][C]0.410236[/C][/ROW]
[ROW][C]29[/C][C]-0.028268[/C][C]-0.2415[/C][C]0.404915[/C][/ROW]
[ROW][C]30[/C][C]-0.109675[/C][C]-0.9371[/C][C]0.175907[/C][/ROW]
[ROW][C]31[/C][C]0.021284[/C][C]0.1819[/C][C]0.428101[/C][/ROW]
[ROW][C]32[/C][C]0.006019[/C][C]0.0514[/C][C]0.479565[/C][/ROW]
[ROW][C]33[/C][C]0.00909[/C][C]0.0777[/C][C]0.469154[/C][/ROW]
[ROW][C]34[/C][C]-0.054629[/C][C]-0.4668[/C][C]0.321033[/C][/ROW]
[ROW][C]35[/C][C]-0.022824[/C][C]-0.195[/C][C]0.422965[/C][/ROW]
[ROW][C]36[/C][C]0.008295[/C][C]0.0709[/C][C]0.471845[/C][/ROW]
[ROW][C]37[/C][C]-0.019537[/C][C]-0.1669[/C][C]0.433944[/C][/ROW]
[ROW][C]38[/C][C]-0.014718[/C][C]-0.1257[/C][C]0.450138[/C][/ROW]
[ROW][C]39[/C][C]-0.011594[/C][C]-0.0991[/C][C]0.460681[/C][/ROW]
[ROW][C]40[/C][C]-0.014041[/C][C]-0.12[/C][C]0.452419[/C][/ROW]
[ROW][C]41[/C][C]-0.029782[/C][C]-0.2545[/C][C]0.39993[/C][/ROW]
[ROW][C]42[/C][C]0.044004[/C][C]0.376[/C][C]0.354015[/C][/ROW]
[ROW][C]43[/C][C]-0.002325[/C][C]-0.0199[/C][C]0.492103[/C][/ROW]
[ROW][C]44[/C][C]-0.018814[/C][C]-0.1607[/C][C]0.436368[/C][/ROW]
[ROW][C]45[/C][C]-0.024604[/C][C]-0.2102[/C][C]0.417042[/C][/ROW]
[ROW][C]46[/C][C]-0.052903[/C][C]-0.452[/C][C]0.326304[/C][/ROW]
[ROW][C]47[/C][C]0.004629[/C][C]0.0396[/C][C]0.484278[/C][/ROW]
[ROW][C]48[/C][C]0.005644[/C][C]0.0482[/C][C]0.480835[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117384&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117384&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
10.9375138.01010
2-0.05411-0.46230.322614
3-0.114595-0.97910.165381
40.0063810.05450.478336
50.0599020.51180.305166
60.0223220.19070.424638
7-0.095036-0.8120.209719
80.0543940.46470.321749
90.0058470.050.480147
10-0.0249-0.21270.416059
110.0816640.69770.243779
12-0.01156-0.09880.460795
13-0.044458-0.37980.352581
14-0.01476-0.12610.449995
150.0090460.07730.469303
16-0.042943-0.36690.357374
17-0.07022-0.60.275195
18-0.021853-0.18670.426203
19-0.014956-0.12780.449335
200.0964680.82420.20625
210.0413220.35310.362531
220.0194710.16640.434165
23-0.122549-1.04710.149263
240.0472590.40380.343776
250.0323760.27660.391426
26-0.117998-1.00820.15835
27-0.00102-0.00870.496537
28-0.026657-0.22780.410236
29-0.028268-0.24150.404915
30-0.109675-0.93710.175907
310.0212840.18190.428101
320.0060190.05140.479565
330.009090.07770.469154
34-0.054629-0.46680.321033
35-0.022824-0.1950.422965
360.0082950.07090.471845
37-0.019537-0.16690.433944
38-0.014718-0.12570.450138
39-0.011594-0.09910.460681
40-0.014041-0.120.452419
41-0.029782-0.25450.39993
420.0440040.3760.354015
43-0.002325-0.01990.492103
44-0.018814-0.16070.436368
45-0.024604-0.21020.417042
46-0.052903-0.4520.326304
470.0046290.03960.484278
480.0056440.04820.480835



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')