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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, 14 Nov 2011 11:43:34 -0500
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/Nov/14/t13212891863qu4xc5uhs13pfj.htm/, Retrieved Fri, 29 Mar 2024 12:06:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=142078, Retrieved Fri, 29 Mar 2024 12:06:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact69
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2011-11-14 16:43:34] [e0466c781e396ede6f5f4647349698a6] [Current]
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Dataseries X:
31.956
29.506
34.506
27.165
26.736
23.691
18.157
17.328
18.205
20.995
17.382
9.367
31.124
26.551
30.651
25.859
25.100
25.778
20.418
18.688
20.424
24.776
19.814
12.738
31.566
30.111
30.019
31.934
25.826
26.835
20.205
17.789
20.520
22.518
15.572
11.509
25.447
24.090
27.786
26.195
20.516
22.759
19.028
16.971
20.036
22.485
18.730
14.538
27.561
25.985
34.670
32.066
27.186
29.586
21.359
21.553
19.573
24.256
22.380
16.167




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142078&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142078&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142078&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'George Udny Yule' @ yule.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4243143.28670.000848
20.2212881.71410.045838
30.0554590.42960.334519
4-0.144134-1.11650.134339
5-0.24238-1.87750.032659
6-0.471238-3.65020.000276
7-0.325526-2.52150.007179
8-0.25765-1.99570.025253
9-0.16765-1.29860.099523
10-0.047815-0.37040.356205
110.125610.9730.167237
120.6168464.77816e-06
130.2421321.87550.032793
140.0784910.6080.272745
15-0.021743-0.16840.43341
16-0.181775-1.4080.082143
17-0.212075-1.64270.052835
18-0.37776-2.92610.00242
19-0.258799-2.00470.02476
20-0.170056-1.31720.096382
21-0.082875-0.64190.261677
220.0119910.09290.463154
230.1793541.38930.084943
240.546534.23344e-05
250.3271532.53410.006951
260.2083051.61350.055939
270.0862310.66790.253367
28-0.03797-0.29410.384843
29-0.070601-0.54690.293247
30-0.231548-1.79360.038961
31-0.174934-1.3550.090243
32-0.141163-1.09340.139285
33-0.093477-0.72410.235917
34-0.043664-0.33820.368188
350.0206930.16030.436598
360.2943782.28020.01308
370.1495281.15820.125677
380.0820210.63530.263815
39-0.007111-0.05510.478128
40-0.096678-0.74890.228431
41-0.104905-0.81260.209833
42-0.218053-1.6890.048203
43-0.158394-1.22690.112323
44-0.134783-1.0440.150332
45-0.095031-0.73610.232267
46-0.030384-0.23540.407369
470.0016450.01270.494938
480.189281.46620.073914

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.424314 & 3.2867 & 0.000848 \tabularnewline
2 & 0.221288 & 1.7141 & 0.045838 \tabularnewline
3 & 0.055459 & 0.4296 & 0.334519 \tabularnewline
4 & -0.144134 & -1.1165 & 0.134339 \tabularnewline
5 & -0.24238 & -1.8775 & 0.032659 \tabularnewline
6 & -0.471238 & -3.6502 & 0.000276 \tabularnewline
7 & -0.325526 & -2.5215 & 0.007179 \tabularnewline
8 & -0.25765 & -1.9957 & 0.025253 \tabularnewline
9 & -0.16765 & -1.2986 & 0.099523 \tabularnewline
10 & -0.047815 & -0.3704 & 0.356205 \tabularnewline
11 & 0.12561 & 0.973 & 0.167237 \tabularnewline
12 & 0.616846 & 4.7781 & 6e-06 \tabularnewline
13 & 0.242132 & 1.8755 & 0.032793 \tabularnewline
14 & 0.078491 & 0.608 & 0.272745 \tabularnewline
15 & -0.021743 & -0.1684 & 0.43341 \tabularnewline
16 & -0.181775 & -1.408 & 0.082143 \tabularnewline
17 & -0.212075 & -1.6427 & 0.052835 \tabularnewline
18 & -0.37776 & -2.9261 & 0.00242 \tabularnewline
19 & -0.258799 & -2.0047 & 0.02476 \tabularnewline
20 & -0.170056 & -1.3172 & 0.096382 \tabularnewline
21 & -0.082875 & -0.6419 & 0.261677 \tabularnewline
22 & 0.011991 & 0.0929 & 0.463154 \tabularnewline
23 & 0.179354 & 1.3893 & 0.084943 \tabularnewline
24 & 0.54653 & 4.2334 & 4e-05 \tabularnewline
25 & 0.327153 & 2.5341 & 0.006951 \tabularnewline
26 & 0.208305 & 1.6135 & 0.055939 \tabularnewline
27 & 0.086231 & 0.6679 & 0.253367 \tabularnewline
28 & -0.03797 & -0.2941 & 0.384843 \tabularnewline
29 & -0.070601 & -0.5469 & 0.293247 \tabularnewline
30 & -0.231548 & -1.7936 & 0.038961 \tabularnewline
31 & -0.174934 & -1.355 & 0.090243 \tabularnewline
32 & -0.141163 & -1.0934 & 0.139285 \tabularnewline
33 & -0.093477 & -0.7241 & 0.235917 \tabularnewline
34 & -0.043664 & -0.3382 & 0.368188 \tabularnewline
35 & 0.020693 & 0.1603 & 0.436598 \tabularnewline
36 & 0.294378 & 2.2802 & 0.01308 \tabularnewline
37 & 0.149528 & 1.1582 & 0.125677 \tabularnewline
38 & 0.082021 & 0.6353 & 0.263815 \tabularnewline
39 & -0.007111 & -0.0551 & 0.478128 \tabularnewline
40 & -0.096678 & -0.7489 & 0.228431 \tabularnewline
41 & -0.104905 & -0.8126 & 0.209833 \tabularnewline
42 & -0.218053 & -1.689 & 0.048203 \tabularnewline
43 & -0.158394 & -1.2269 & 0.112323 \tabularnewline
44 & -0.134783 & -1.044 & 0.150332 \tabularnewline
45 & -0.095031 & -0.7361 & 0.232267 \tabularnewline
46 & -0.030384 & -0.2354 & 0.407369 \tabularnewline
47 & 0.001645 & 0.0127 & 0.494938 \tabularnewline
48 & 0.18928 & 1.4662 & 0.073914 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142078&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]0.424314[/C][C]3.2867[/C][C]0.000848[/C][/ROW]
[ROW][C]2[/C][C]0.221288[/C][C]1.7141[/C][C]0.045838[/C][/ROW]
[ROW][C]3[/C][C]0.055459[/C][C]0.4296[/C][C]0.334519[/C][/ROW]
[ROW][C]4[/C][C]-0.144134[/C][C]-1.1165[/C][C]0.134339[/C][/ROW]
[ROW][C]5[/C][C]-0.24238[/C][C]-1.8775[/C][C]0.032659[/C][/ROW]
[ROW][C]6[/C][C]-0.471238[/C][C]-3.6502[/C][C]0.000276[/C][/ROW]
[ROW][C]7[/C][C]-0.325526[/C][C]-2.5215[/C][C]0.007179[/C][/ROW]
[ROW][C]8[/C][C]-0.25765[/C][C]-1.9957[/C][C]0.025253[/C][/ROW]
[ROW][C]9[/C][C]-0.16765[/C][C]-1.2986[/C][C]0.099523[/C][/ROW]
[ROW][C]10[/C][C]-0.047815[/C][C]-0.3704[/C][C]0.356205[/C][/ROW]
[ROW][C]11[/C][C]0.12561[/C][C]0.973[/C][C]0.167237[/C][/ROW]
[ROW][C]12[/C][C]0.616846[/C][C]4.7781[/C][C]6e-06[/C][/ROW]
[ROW][C]13[/C][C]0.242132[/C][C]1.8755[/C][C]0.032793[/C][/ROW]
[ROW][C]14[/C][C]0.078491[/C][C]0.608[/C][C]0.272745[/C][/ROW]
[ROW][C]15[/C][C]-0.021743[/C][C]-0.1684[/C][C]0.43341[/C][/ROW]
[ROW][C]16[/C][C]-0.181775[/C][C]-1.408[/C][C]0.082143[/C][/ROW]
[ROW][C]17[/C][C]-0.212075[/C][C]-1.6427[/C][C]0.052835[/C][/ROW]
[ROW][C]18[/C][C]-0.37776[/C][C]-2.9261[/C][C]0.00242[/C][/ROW]
[ROW][C]19[/C][C]-0.258799[/C][C]-2.0047[/C][C]0.02476[/C][/ROW]
[ROW][C]20[/C][C]-0.170056[/C][C]-1.3172[/C][C]0.096382[/C][/ROW]
[ROW][C]21[/C][C]-0.082875[/C][C]-0.6419[/C][C]0.261677[/C][/ROW]
[ROW][C]22[/C][C]0.011991[/C][C]0.0929[/C][C]0.463154[/C][/ROW]
[ROW][C]23[/C][C]0.179354[/C][C]1.3893[/C][C]0.084943[/C][/ROW]
[ROW][C]24[/C][C]0.54653[/C][C]4.2334[/C][C]4e-05[/C][/ROW]
[ROW][C]25[/C][C]0.327153[/C][C]2.5341[/C][C]0.006951[/C][/ROW]
[ROW][C]26[/C][C]0.208305[/C][C]1.6135[/C][C]0.055939[/C][/ROW]
[ROW][C]27[/C][C]0.086231[/C][C]0.6679[/C][C]0.253367[/C][/ROW]
[ROW][C]28[/C][C]-0.03797[/C][C]-0.2941[/C][C]0.384843[/C][/ROW]
[ROW][C]29[/C][C]-0.070601[/C][C]-0.5469[/C][C]0.293247[/C][/ROW]
[ROW][C]30[/C][C]-0.231548[/C][C]-1.7936[/C][C]0.038961[/C][/ROW]
[ROW][C]31[/C][C]-0.174934[/C][C]-1.355[/C][C]0.090243[/C][/ROW]
[ROW][C]32[/C][C]-0.141163[/C][C]-1.0934[/C][C]0.139285[/C][/ROW]
[ROW][C]33[/C][C]-0.093477[/C][C]-0.7241[/C][C]0.235917[/C][/ROW]
[ROW][C]34[/C][C]-0.043664[/C][C]-0.3382[/C][C]0.368188[/C][/ROW]
[ROW][C]35[/C][C]0.020693[/C][C]0.1603[/C][C]0.436598[/C][/ROW]
[ROW][C]36[/C][C]0.294378[/C][C]2.2802[/C][C]0.01308[/C][/ROW]
[ROW][C]37[/C][C]0.149528[/C][C]1.1582[/C][C]0.125677[/C][/ROW]
[ROW][C]38[/C][C]0.082021[/C][C]0.6353[/C][C]0.263815[/C][/ROW]
[ROW][C]39[/C][C]-0.007111[/C][C]-0.0551[/C][C]0.478128[/C][/ROW]
[ROW][C]40[/C][C]-0.096678[/C][C]-0.7489[/C][C]0.228431[/C][/ROW]
[ROW][C]41[/C][C]-0.104905[/C][C]-0.8126[/C][C]0.209833[/C][/ROW]
[ROW][C]42[/C][C]-0.218053[/C][C]-1.689[/C][C]0.048203[/C][/ROW]
[ROW][C]43[/C][C]-0.158394[/C][C]-1.2269[/C][C]0.112323[/C][/ROW]
[ROW][C]44[/C][C]-0.134783[/C][C]-1.044[/C][C]0.150332[/C][/ROW]
[ROW][C]45[/C][C]-0.095031[/C][C]-0.7361[/C][C]0.232267[/C][/ROW]
[ROW][C]46[/C][C]-0.030384[/C][C]-0.2354[/C][C]0.407369[/C][/ROW]
[ROW][C]47[/C][C]0.001645[/C][C]0.0127[/C][C]0.494938[/C][/ROW]
[ROW][C]48[/C][C]0.18928[/C][C]1.4662[/C][C]0.073914[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142078&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142078&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
10.4243143.28670.000848
20.2212881.71410.045838
30.0554590.42960.334519
4-0.144134-1.11650.134339
5-0.24238-1.87750.032659
6-0.471238-3.65020.000276
7-0.325526-2.52150.007179
8-0.25765-1.99570.025253
9-0.16765-1.29860.099523
10-0.047815-0.37040.356205
110.125610.9730.167237
120.6168464.77816e-06
130.2421321.87550.032793
140.0784910.6080.272745
15-0.021743-0.16840.43341
16-0.181775-1.4080.082143
17-0.212075-1.64270.052835
18-0.37776-2.92610.00242
19-0.258799-2.00470.02476
20-0.170056-1.31720.096382
21-0.082875-0.64190.261677
220.0119910.09290.463154
230.1793541.38930.084943
240.546534.23344e-05
250.3271532.53410.006951
260.2083051.61350.055939
270.0862310.66790.253367
28-0.03797-0.29410.384843
29-0.070601-0.54690.293247
30-0.231548-1.79360.038961
31-0.174934-1.3550.090243
32-0.141163-1.09340.139285
33-0.093477-0.72410.235917
34-0.043664-0.33820.368188
350.0206930.16030.436598
360.2943782.28020.01308
370.1495281.15820.125677
380.0820210.63530.263815
39-0.007111-0.05510.478128
40-0.096678-0.74890.228431
41-0.104905-0.81260.209833
42-0.218053-1.6890.048203
43-0.158394-1.22690.112323
44-0.134783-1.0440.150332
45-0.095031-0.73610.232267
46-0.030384-0.23540.407369
470.0016450.01270.494938
480.189281.46620.073914







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4243143.28670.000848
20.0503010.38960.349095
3-0.067317-0.52140.301993
4-0.190672-1.47690.072461
5-0.142901-1.10690.136376
6-0.364155-2.82070.003243
70.0002430.00190.499252
8-0.089981-0.6970.244251
9-0.066232-0.5130.304907
10-0.083834-0.64940.259288
110.0838760.64970.259183
120.5669234.39142.3e-05
13-0.455622-3.52920.000403
14-0.316745-2.45350.008535
15-0.161854-1.25370.107404
16-0.059397-0.46010.323558
17-0.010038-0.07780.469141
180.0503850.39030.348857
19-0.096465-0.74720.228926
20-0.111928-0.8670.1947
210.0541050.41910.338321
22-0.002514-0.01950.492263
230.0346430.26830.394677
24-0.141254-1.09410.139132
250.0214830.16640.434198
260.1160420.89890.18616
27-0.020396-0.1580.4375
280.0836480.64790.25975
290.0403520.31260.377847
30-0.008958-0.06940.472456
310.035040.27140.393499
320.0376970.2920.385646
33-0.003316-0.02570.489798
340.0591480.45820.324248
35-0.146844-1.13750.129936
360.0145850.1130.455213
37-0.0064-0.04960.480314
380.0206780.16020.436643
390.1013970.78540.21765
40-0.034227-0.26510.395912
41-0.134919-1.04510.15009
42-0.009699-0.07510.470182
430.0404220.31310.377643
44-0.042275-0.32750.372229
45-0.078728-0.60980.27214
46-0.093666-0.72550.235473
470.0105330.08160.467623
48-0.111184-0.86120.196272

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.424314 & 3.2867 & 0.000848 \tabularnewline
2 & 0.050301 & 0.3896 & 0.349095 \tabularnewline
3 & -0.067317 & -0.5214 & 0.301993 \tabularnewline
4 & -0.190672 & -1.4769 & 0.072461 \tabularnewline
5 & -0.142901 & -1.1069 & 0.136376 \tabularnewline
6 & -0.364155 & -2.8207 & 0.003243 \tabularnewline
7 & 0.000243 & 0.0019 & 0.499252 \tabularnewline
8 & -0.089981 & -0.697 & 0.244251 \tabularnewline
9 & -0.066232 & -0.513 & 0.304907 \tabularnewline
10 & -0.083834 & -0.6494 & 0.259288 \tabularnewline
11 & 0.083876 & 0.6497 & 0.259183 \tabularnewline
12 & 0.566923 & 4.3914 & 2.3e-05 \tabularnewline
13 & -0.455622 & -3.5292 & 0.000403 \tabularnewline
14 & -0.316745 & -2.4535 & 0.008535 \tabularnewline
15 & -0.161854 & -1.2537 & 0.107404 \tabularnewline
16 & -0.059397 & -0.4601 & 0.323558 \tabularnewline
17 & -0.010038 & -0.0778 & 0.469141 \tabularnewline
18 & 0.050385 & 0.3903 & 0.348857 \tabularnewline
19 & -0.096465 & -0.7472 & 0.228926 \tabularnewline
20 & -0.111928 & -0.867 & 0.1947 \tabularnewline
21 & 0.054105 & 0.4191 & 0.338321 \tabularnewline
22 & -0.002514 & -0.0195 & 0.492263 \tabularnewline
23 & 0.034643 & 0.2683 & 0.394677 \tabularnewline
24 & -0.141254 & -1.0941 & 0.139132 \tabularnewline
25 & 0.021483 & 0.1664 & 0.434198 \tabularnewline
26 & 0.116042 & 0.8989 & 0.18616 \tabularnewline
27 & -0.020396 & -0.158 & 0.4375 \tabularnewline
28 & 0.083648 & 0.6479 & 0.25975 \tabularnewline
29 & 0.040352 & 0.3126 & 0.377847 \tabularnewline
30 & -0.008958 & -0.0694 & 0.472456 \tabularnewline
31 & 0.03504 & 0.2714 & 0.393499 \tabularnewline
32 & 0.037697 & 0.292 & 0.385646 \tabularnewline
33 & -0.003316 & -0.0257 & 0.489798 \tabularnewline
34 & 0.059148 & 0.4582 & 0.324248 \tabularnewline
35 & -0.146844 & -1.1375 & 0.129936 \tabularnewline
36 & 0.014585 & 0.113 & 0.455213 \tabularnewline
37 & -0.0064 & -0.0496 & 0.480314 \tabularnewline
38 & 0.020678 & 0.1602 & 0.436643 \tabularnewline
39 & 0.101397 & 0.7854 & 0.21765 \tabularnewline
40 & -0.034227 & -0.2651 & 0.395912 \tabularnewline
41 & -0.134919 & -1.0451 & 0.15009 \tabularnewline
42 & -0.009699 & -0.0751 & 0.470182 \tabularnewline
43 & 0.040422 & 0.3131 & 0.377643 \tabularnewline
44 & -0.042275 & -0.3275 & 0.372229 \tabularnewline
45 & -0.078728 & -0.6098 & 0.27214 \tabularnewline
46 & -0.093666 & -0.7255 & 0.235473 \tabularnewline
47 & 0.010533 & 0.0816 & 0.467623 \tabularnewline
48 & -0.111184 & -0.8612 & 0.196272 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=142078&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]0.424314[/C][C]3.2867[/C][C]0.000848[/C][/ROW]
[ROW][C]2[/C][C]0.050301[/C][C]0.3896[/C][C]0.349095[/C][/ROW]
[ROW][C]3[/C][C]-0.067317[/C][C]-0.5214[/C][C]0.301993[/C][/ROW]
[ROW][C]4[/C][C]-0.190672[/C][C]-1.4769[/C][C]0.072461[/C][/ROW]
[ROW][C]5[/C][C]-0.142901[/C][C]-1.1069[/C][C]0.136376[/C][/ROW]
[ROW][C]6[/C][C]-0.364155[/C][C]-2.8207[/C][C]0.003243[/C][/ROW]
[ROW][C]7[/C][C]0.000243[/C][C]0.0019[/C][C]0.499252[/C][/ROW]
[ROW][C]8[/C][C]-0.089981[/C][C]-0.697[/C][C]0.244251[/C][/ROW]
[ROW][C]9[/C][C]-0.066232[/C][C]-0.513[/C][C]0.304907[/C][/ROW]
[ROW][C]10[/C][C]-0.083834[/C][C]-0.6494[/C][C]0.259288[/C][/ROW]
[ROW][C]11[/C][C]0.083876[/C][C]0.6497[/C][C]0.259183[/C][/ROW]
[ROW][C]12[/C][C]0.566923[/C][C]4.3914[/C][C]2.3e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.455622[/C][C]-3.5292[/C][C]0.000403[/C][/ROW]
[ROW][C]14[/C][C]-0.316745[/C][C]-2.4535[/C][C]0.008535[/C][/ROW]
[ROW][C]15[/C][C]-0.161854[/C][C]-1.2537[/C][C]0.107404[/C][/ROW]
[ROW][C]16[/C][C]-0.059397[/C][C]-0.4601[/C][C]0.323558[/C][/ROW]
[ROW][C]17[/C][C]-0.010038[/C][C]-0.0778[/C][C]0.469141[/C][/ROW]
[ROW][C]18[/C][C]0.050385[/C][C]0.3903[/C][C]0.348857[/C][/ROW]
[ROW][C]19[/C][C]-0.096465[/C][C]-0.7472[/C][C]0.228926[/C][/ROW]
[ROW][C]20[/C][C]-0.111928[/C][C]-0.867[/C][C]0.1947[/C][/ROW]
[ROW][C]21[/C][C]0.054105[/C][C]0.4191[/C][C]0.338321[/C][/ROW]
[ROW][C]22[/C][C]-0.002514[/C][C]-0.0195[/C][C]0.492263[/C][/ROW]
[ROW][C]23[/C][C]0.034643[/C][C]0.2683[/C][C]0.394677[/C][/ROW]
[ROW][C]24[/C][C]-0.141254[/C][C]-1.0941[/C][C]0.139132[/C][/ROW]
[ROW][C]25[/C][C]0.021483[/C][C]0.1664[/C][C]0.434198[/C][/ROW]
[ROW][C]26[/C][C]0.116042[/C][C]0.8989[/C][C]0.18616[/C][/ROW]
[ROW][C]27[/C][C]-0.020396[/C][C]-0.158[/C][C]0.4375[/C][/ROW]
[ROW][C]28[/C][C]0.083648[/C][C]0.6479[/C][C]0.25975[/C][/ROW]
[ROW][C]29[/C][C]0.040352[/C][C]0.3126[/C][C]0.377847[/C][/ROW]
[ROW][C]30[/C][C]-0.008958[/C][C]-0.0694[/C][C]0.472456[/C][/ROW]
[ROW][C]31[/C][C]0.03504[/C][C]0.2714[/C][C]0.393499[/C][/ROW]
[ROW][C]32[/C][C]0.037697[/C][C]0.292[/C][C]0.385646[/C][/ROW]
[ROW][C]33[/C][C]-0.003316[/C][C]-0.0257[/C][C]0.489798[/C][/ROW]
[ROW][C]34[/C][C]0.059148[/C][C]0.4582[/C][C]0.324248[/C][/ROW]
[ROW][C]35[/C][C]-0.146844[/C][C]-1.1375[/C][C]0.129936[/C][/ROW]
[ROW][C]36[/C][C]0.014585[/C][C]0.113[/C][C]0.455213[/C][/ROW]
[ROW][C]37[/C][C]-0.0064[/C][C]-0.0496[/C][C]0.480314[/C][/ROW]
[ROW][C]38[/C][C]0.020678[/C][C]0.1602[/C][C]0.436643[/C][/ROW]
[ROW][C]39[/C][C]0.101397[/C][C]0.7854[/C][C]0.21765[/C][/ROW]
[ROW][C]40[/C][C]-0.034227[/C][C]-0.2651[/C][C]0.395912[/C][/ROW]
[ROW][C]41[/C][C]-0.134919[/C][C]-1.0451[/C][C]0.15009[/C][/ROW]
[ROW][C]42[/C][C]-0.009699[/C][C]-0.0751[/C][C]0.470182[/C][/ROW]
[ROW][C]43[/C][C]0.040422[/C][C]0.3131[/C][C]0.377643[/C][/ROW]
[ROW][C]44[/C][C]-0.042275[/C][C]-0.3275[/C][C]0.372229[/C][/ROW]
[ROW][C]45[/C][C]-0.078728[/C][C]-0.6098[/C][C]0.27214[/C][/ROW]
[ROW][C]46[/C][C]-0.093666[/C][C]-0.7255[/C][C]0.235473[/C][/ROW]
[ROW][C]47[/C][C]0.010533[/C][C]0.0816[/C][C]0.467623[/C][/ROW]
[ROW][C]48[/C][C]-0.111184[/C][C]-0.8612[/C][C]0.196272[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=142078&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=142078&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
10.4243143.28670.000848
20.0503010.38960.349095
3-0.067317-0.52140.301993
4-0.190672-1.47690.072461
5-0.142901-1.10690.136376
6-0.364155-2.82070.003243
70.0002430.00190.499252
8-0.089981-0.6970.244251
9-0.066232-0.5130.304907
10-0.083834-0.64940.259288
110.0838760.64970.259183
120.5669234.39142.3e-05
13-0.455622-3.52920.000403
14-0.316745-2.45350.008535
15-0.161854-1.25370.107404
16-0.059397-0.46010.323558
17-0.010038-0.07780.469141
180.0503850.39030.348857
19-0.096465-0.74720.228926
20-0.111928-0.8670.1947
210.0541050.41910.338321
22-0.002514-0.01950.492263
230.0346430.26830.394677
24-0.141254-1.09410.139132
250.0214830.16640.434198
260.1160420.89890.18616
27-0.020396-0.1580.4375
280.0836480.64790.25975
290.0403520.31260.377847
30-0.008958-0.06940.472456
310.035040.27140.393499
320.0376970.2920.385646
33-0.003316-0.02570.489798
340.0591480.45820.324248
35-0.146844-1.13750.129936
360.0145850.1130.455213
37-0.0064-0.04960.480314
380.0206780.16020.436643
390.1013970.78540.21765
40-0.034227-0.26510.395912
41-0.134919-1.04510.15009
42-0.009699-0.07510.470182
430.0404220.31310.377643
44-0.042275-0.32750.372229
45-0.078728-0.60980.27214
46-0.093666-0.72550.235473
470.0105330.08160.467623
48-0.111184-0.86120.196272



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')