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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSat, 13 Dec 2008 06:04:42 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/13/t1229173528acqou6gm8ds7mjd.htm/, Retrieved Sun, 19 May 2024 07:59:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33044, Retrieved Sun, 19 May 2024 07:59:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsjenske_cole@hotmail.com
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Bivariate Kernel Density Estimation] [Various EDA Topic...] [2008-11-12 13:37:39] [8094ad203a218aaca2d1cea2c78c2d6e]
F    D  [Bivariate Kernel Density Estimation] [opdracht3 blok8 q...] [2008-11-12 17:51:49] [975daa21de49eaf4d491226310243f5a]
- RMPD    [(Partial) Autocorrelation Function] [paper autocorrela...] [2008-12-13 12:15:31] [975daa21de49eaf4d491226310243f5a]
-             [(Partial) Autocorrelation Function] [paper autocorrela...] [2008-12-13 13:04:42] [120dfa2440e51a0cfc0f5296bc5d7460] [Current]
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Dataseries X:
7.6
7.4
7.3
7.1
6.9
6.8
7.5
7.6
7.8
8
8.1
8.2
8.3
8.2
8
7.9
7.6
7.6
8.2
8.3
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9
6.8
6.7




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=33044&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=33044&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33044&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
10.3569963.2130.000943
2-0.164575-1.48120.071219
3-0.475916-4.28322.5e-05
4-0.38501-3.46510.000425
5-0.011924-0.10730.457402
60.3113742.80240.003172
70.1680671.51260.067137
8-0.105023-0.94520.173683
9-0.267608-2.40850.009145
10-0.149076-1.34170.091724
110.1619271.45730.074443
120.541544.87393e-06
130.1550631.39560.083329
14-0.10649-0.95840.170354
15-0.278183-2.50360.007151
16-0.194866-1.75380.041624
170.0025970.02340.490704
180.1879171.69130.047316
190.0906020.81540.208611
20-0.071983-0.64780.259459
21-0.184021-1.65620.050776
22-0.062605-0.56340.287343
230.0859810.77380.220642
240.3204822.88430.002512
250.0668220.60140.274628
26-0.082709-0.74440.229399
27-0.208409-1.87570.032151
28-0.105663-0.9510.172224
290.037610.33850.367933
300.1301861.17170.122381
310.084480.76030.224635
32-0.060194-0.54170.294741
33-0.13307-1.19760.117277
34-0.082085-0.73880.231092
35-0.012734-0.11460.454522
360.190651.71580.045006
370.0147070.13240.447513
38-0.053768-0.48390.314878
39-0.094313-0.84880.199243
400.031960.28760.387177
410.1060180.95420.171421
420.1257341.13160.13057
43-0.022735-0.20460.419193
44-0.196401-1.76760.040446
45-0.186551-1.6790.048507
46-0.110217-0.9920.162087
470.0356370.32070.374619
480.2396282.15660.016999
490.0943470.84910.199159
50-0.048961-0.44060.33032
51-0.08647-0.77820.219349
52-0.049906-0.44910.327261
530.0004720.00430.49831
540.0622340.56010.288475
55-0.010187-0.09170.463589
56-0.069554-0.6260.266542
57-0.034963-0.31470.376913
58-0.05456-0.4910.312361
59-0.027559-0.2480.402371
600.1143491.02910.153238

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.356996 & 3.213 & 0.000943 \tabularnewline
2 & -0.164575 & -1.4812 & 0.071219 \tabularnewline
3 & -0.475916 & -4.2832 & 2.5e-05 \tabularnewline
4 & -0.38501 & -3.4651 & 0.000425 \tabularnewline
5 & -0.011924 & -0.1073 & 0.457402 \tabularnewline
6 & 0.311374 & 2.8024 & 0.003172 \tabularnewline
7 & 0.168067 & 1.5126 & 0.067137 \tabularnewline
8 & -0.105023 & -0.9452 & 0.173683 \tabularnewline
9 & -0.267608 & -2.4085 & 0.009145 \tabularnewline
10 & -0.149076 & -1.3417 & 0.091724 \tabularnewline
11 & 0.161927 & 1.4573 & 0.074443 \tabularnewline
12 & 0.54154 & 4.8739 & 3e-06 \tabularnewline
13 & 0.155063 & 1.3956 & 0.083329 \tabularnewline
14 & -0.10649 & -0.9584 & 0.170354 \tabularnewline
15 & -0.278183 & -2.5036 & 0.007151 \tabularnewline
16 & -0.194866 & -1.7538 & 0.041624 \tabularnewline
17 & 0.002597 & 0.0234 & 0.490704 \tabularnewline
18 & 0.187917 & 1.6913 & 0.047316 \tabularnewline
19 & 0.090602 & 0.8154 & 0.208611 \tabularnewline
20 & -0.071983 & -0.6478 & 0.259459 \tabularnewline
21 & -0.184021 & -1.6562 & 0.050776 \tabularnewline
22 & -0.062605 & -0.5634 & 0.287343 \tabularnewline
23 & 0.085981 & 0.7738 & 0.220642 \tabularnewline
24 & 0.320482 & 2.8843 & 0.002512 \tabularnewline
25 & 0.066822 & 0.6014 & 0.274628 \tabularnewline
26 & -0.082709 & -0.7444 & 0.229399 \tabularnewline
27 & -0.208409 & -1.8757 & 0.032151 \tabularnewline
28 & -0.105663 & -0.951 & 0.172224 \tabularnewline
29 & 0.03761 & 0.3385 & 0.367933 \tabularnewline
30 & 0.130186 & 1.1717 & 0.122381 \tabularnewline
31 & 0.08448 & 0.7603 & 0.224635 \tabularnewline
32 & -0.060194 & -0.5417 & 0.294741 \tabularnewline
33 & -0.13307 & -1.1976 & 0.117277 \tabularnewline
34 & -0.082085 & -0.7388 & 0.231092 \tabularnewline
35 & -0.012734 & -0.1146 & 0.454522 \tabularnewline
36 & 0.19065 & 1.7158 & 0.045006 \tabularnewline
37 & 0.014707 & 0.1324 & 0.447513 \tabularnewline
38 & -0.053768 & -0.4839 & 0.314878 \tabularnewline
39 & -0.094313 & -0.8488 & 0.199243 \tabularnewline
40 & 0.03196 & 0.2876 & 0.387177 \tabularnewline
41 & 0.106018 & 0.9542 & 0.171421 \tabularnewline
42 & 0.125734 & 1.1316 & 0.13057 \tabularnewline
43 & -0.022735 & -0.2046 & 0.419193 \tabularnewline
44 & -0.196401 & -1.7676 & 0.040446 \tabularnewline
45 & -0.186551 & -1.679 & 0.048507 \tabularnewline
46 & -0.110217 & -0.992 & 0.162087 \tabularnewline
47 & 0.035637 & 0.3207 & 0.374619 \tabularnewline
48 & 0.239628 & 2.1566 & 0.016999 \tabularnewline
49 & 0.094347 & 0.8491 & 0.199159 \tabularnewline
50 & -0.048961 & -0.4406 & 0.33032 \tabularnewline
51 & -0.08647 & -0.7782 & 0.219349 \tabularnewline
52 & -0.049906 & -0.4491 & 0.327261 \tabularnewline
53 & 0.000472 & 0.0043 & 0.49831 \tabularnewline
54 & 0.062234 & 0.5601 & 0.288475 \tabularnewline
55 & -0.010187 & -0.0917 & 0.463589 \tabularnewline
56 & -0.069554 & -0.626 & 0.266542 \tabularnewline
57 & -0.034963 & -0.3147 & 0.376913 \tabularnewline
58 & -0.05456 & -0.491 & 0.312361 \tabularnewline
59 & -0.027559 & -0.248 & 0.402371 \tabularnewline
60 & 0.114349 & 1.0291 & 0.153238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33044&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]0.356996[/C][C]3.213[/C][C]0.000943[/C][/ROW]
[ROW][C]2[/C][C]-0.164575[/C][C]-1.4812[/C][C]0.071219[/C][/ROW]
[ROW][C]3[/C][C]-0.475916[/C][C]-4.2832[/C][C]2.5e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.38501[/C][C]-3.4651[/C][C]0.000425[/C][/ROW]
[ROW][C]5[/C][C]-0.011924[/C][C]-0.1073[/C][C]0.457402[/C][/ROW]
[ROW][C]6[/C][C]0.311374[/C][C]2.8024[/C][C]0.003172[/C][/ROW]
[ROW][C]7[/C][C]0.168067[/C][C]1.5126[/C][C]0.067137[/C][/ROW]
[ROW][C]8[/C][C]-0.105023[/C][C]-0.9452[/C][C]0.173683[/C][/ROW]
[ROW][C]9[/C][C]-0.267608[/C][C]-2.4085[/C][C]0.009145[/C][/ROW]
[ROW][C]10[/C][C]-0.149076[/C][C]-1.3417[/C][C]0.091724[/C][/ROW]
[ROW][C]11[/C][C]0.161927[/C][C]1.4573[/C][C]0.074443[/C][/ROW]
[ROW][C]12[/C][C]0.54154[/C][C]4.8739[/C][C]3e-06[/C][/ROW]
[ROW][C]13[/C][C]0.155063[/C][C]1.3956[/C][C]0.083329[/C][/ROW]
[ROW][C]14[/C][C]-0.10649[/C][C]-0.9584[/C][C]0.170354[/C][/ROW]
[ROW][C]15[/C][C]-0.278183[/C][C]-2.5036[/C][C]0.007151[/C][/ROW]
[ROW][C]16[/C][C]-0.194866[/C][C]-1.7538[/C][C]0.041624[/C][/ROW]
[ROW][C]17[/C][C]0.002597[/C][C]0.0234[/C][C]0.490704[/C][/ROW]
[ROW][C]18[/C][C]0.187917[/C][C]1.6913[/C][C]0.047316[/C][/ROW]
[ROW][C]19[/C][C]0.090602[/C][C]0.8154[/C][C]0.208611[/C][/ROW]
[ROW][C]20[/C][C]-0.071983[/C][C]-0.6478[/C][C]0.259459[/C][/ROW]
[ROW][C]21[/C][C]-0.184021[/C][C]-1.6562[/C][C]0.050776[/C][/ROW]
[ROW][C]22[/C][C]-0.062605[/C][C]-0.5634[/C][C]0.287343[/C][/ROW]
[ROW][C]23[/C][C]0.085981[/C][C]0.7738[/C][C]0.220642[/C][/ROW]
[ROW][C]24[/C][C]0.320482[/C][C]2.8843[/C][C]0.002512[/C][/ROW]
[ROW][C]25[/C][C]0.066822[/C][C]0.6014[/C][C]0.274628[/C][/ROW]
[ROW][C]26[/C][C]-0.082709[/C][C]-0.7444[/C][C]0.229399[/C][/ROW]
[ROW][C]27[/C][C]-0.208409[/C][C]-1.8757[/C][C]0.032151[/C][/ROW]
[ROW][C]28[/C][C]-0.105663[/C][C]-0.951[/C][C]0.172224[/C][/ROW]
[ROW][C]29[/C][C]0.03761[/C][C]0.3385[/C][C]0.367933[/C][/ROW]
[ROW][C]30[/C][C]0.130186[/C][C]1.1717[/C][C]0.122381[/C][/ROW]
[ROW][C]31[/C][C]0.08448[/C][C]0.7603[/C][C]0.224635[/C][/ROW]
[ROW][C]32[/C][C]-0.060194[/C][C]-0.5417[/C][C]0.294741[/C][/ROW]
[ROW][C]33[/C][C]-0.13307[/C][C]-1.1976[/C][C]0.117277[/C][/ROW]
[ROW][C]34[/C][C]-0.082085[/C][C]-0.7388[/C][C]0.231092[/C][/ROW]
[ROW][C]35[/C][C]-0.012734[/C][C]-0.1146[/C][C]0.454522[/C][/ROW]
[ROW][C]36[/C][C]0.19065[/C][C]1.7158[/C][C]0.045006[/C][/ROW]
[ROW][C]37[/C][C]0.014707[/C][C]0.1324[/C][C]0.447513[/C][/ROW]
[ROW][C]38[/C][C]-0.053768[/C][C]-0.4839[/C][C]0.314878[/C][/ROW]
[ROW][C]39[/C][C]-0.094313[/C][C]-0.8488[/C][C]0.199243[/C][/ROW]
[ROW][C]40[/C][C]0.03196[/C][C]0.2876[/C][C]0.387177[/C][/ROW]
[ROW][C]41[/C][C]0.106018[/C][C]0.9542[/C][C]0.171421[/C][/ROW]
[ROW][C]42[/C][C]0.125734[/C][C]1.1316[/C][C]0.13057[/C][/ROW]
[ROW][C]43[/C][C]-0.022735[/C][C]-0.2046[/C][C]0.419193[/C][/ROW]
[ROW][C]44[/C][C]-0.196401[/C][C]-1.7676[/C][C]0.040446[/C][/ROW]
[ROW][C]45[/C][C]-0.186551[/C][C]-1.679[/C][C]0.048507[/C][/ROW]
[ROW][C]46[/C][C]-0.110217[/C][C]-0.992[/C][C]0.162087[/C][/ROW]
[ROW][C]47[/C][C]0.035637[/C][C]0.3207[/C][C]0.374619[/C][/ROW]
[ROW][C]48[/C][C]0.239628[/C][C]2.1566[/C][C]0.016999[/C][/ROW]
[ROW][C]49[/C][C]0.094347[/C][C]0.8491[/C][C]0.199159[/C][/ROW]
[ROW][C]50[/C][C]-0.048961[/C][C]-0.4406[/C][C]0.33032[/C][/ROW]
[ROW][C]51[/C][C]-0.08647[/C][C]-0.7782[/C][C]0.219349[/C][/ROW]
[ROW][C]52[/C][C]-0.049906[/C][C]-0.4491[/C][C]0.327261[/C][/ROW]
[ROW][C]53[/C][C]0.000472[/C][C]0.0043[/C][C]0.49831[/C][/ROW]
[ROW][C]54[/C][C]0.062234[/C][C]0.5601[/C][C]0.288475[/C][/ROW]
[ROW][C]55[/C][C]-0.010187[/C][C]-0.0917[/C][C]0.463589[/C][/ROW]
[ROW][C]56[/C][C]-0.069554[/C][C]-0.626[/C][C]0.266542[/C][/ROW]
[ROW][C]57[/C][C]-0.034963[/C][C]-0.3147[/C][C]0.376913[/C][/ROW]
[ROW][C]58[/C][C]-0.05456[/C][C]-0.491[/C][C]0.312361[/C][/ROW]
[ROW][C]59[/C][C]-0.027559[/C][C]-0.248[/C][C]0.402371[/C][/ROW]
[ROW][C]60[/C][C]0.114349[/C][C]1.0291[/C][C]0.153238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33044&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33044&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
10.3569963.2130.000943
2-0.164575-1.48120.071219
3-0.475916-4.28322.5e-05
4-0.38501-3.46510.000425
5-0.011924-0.10730.457402
60.3113742.80240.003172
70.1680671.51260.067137
8-0.105023-0.94520.173683
9-0.267608-2.40850.009145
10-0.149076-1.34170.091724
110.1619271.45730.074443
120.541544.87393e-06
130.1550631.39560.083329
14-0.10649-0.95840.170354
15-0.278183-2.50360.007151
16-0.194866-1.75380.041624
170.0025970.02340.490704
180.1879171.69130.047316
190.0906020.81540.208611
20-0.071983-0.64780.259459
21-0.184021-1.65620.050776
22-0.062605-0.56340.287343
230.0859810.77380.220642
240.3204822.88430.002512
250.0668220.60140.274628
26-0.082709-0.74440.229399
27-0.208409-1.87570.032151
28-0.105663-0.9510.172224
290.037610.33850.367933
300.1301861.17170.122381
310.084480.76030.224635
32-0.060194-0.54170.294741
33-0.13307-1.19760.117277
34-0.082085-0.73880.231092
35-0.012734-0.11460.454522
360.190651.71580.045006
370.0147070.13240.447513
38-0.053768-0.48390.314878
39-0.094313-0.84880.199243
400.031960.28760.387177
410.1060180.95420.171421
420.1257341.13160.13057
43-0.022735-0.20460.419193
44-0.196401-1.76760.040446
45-0.186551-1.6790.048507
46-0.110217-0.9920.162087
470.0356370.32070.374619
480.2396282.15660.016999
490.0943470.84910.199159
50-0.048961-0.44060.33032
51-0.08647-0.77820.219349
52-0.049906-0.44910.327261
530.0004720.00430.49831
540.0622340.56010.288475
55-0.010187-0.09170.463589
56-0.069554-0.6260.266542
57-0.034963-0.31470.376913
58-0.05456-0.4910.312361
59-0.027559-0.2480.402371
600.1143491.02910.153238







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3569963.2130.000943
2-0.334674-3.01210.00173
3-0.358821-3.22940.000896
4-0.169236-1.52310.065811
50.0337060.30340.381199
60.098670.8880.188577
7-0.214886-1.9340.028304
8-0.172587-1.55330.062127
9-0.093911-0.84520.200244
100.0070360.06330.474831
110.0961320.86520.194746
120.4032563.62930.000248
13-0.284446-2.560.006163
140.1696881.52720.065305
150.1603021.44270.076478
160.1213611.09230.13898
17-0.075167-0.67650.250325
18-0.017289-0.15560.438367
190.0589590.53060.298564
20-0.008536-0.07680.469475
21-0.078941-0.71050.239727
220.050110.4510.326601
23-0.103176-0.92860.177932
240.0578830.52090.301914
25-0.032801-0.29520.384293
26-0.023561-0.21210.4163
27-0.088304-0.79470.214545
280.048170.43350.332893
290.0552590.49730.31015
30-0.090822-0.81740.208049
310.0532950.47970.316383
32-0.03005-0.27040.393751
330.0631630.56850.285645
34-0.140174-1.26160.105362
35-0.0397-0.35730.360899
360.0332520.29930.382752
37-0.148412-1.33570.092693
38-0.055082-0.49570.31071
390.0624140.56170.287927
400.0796260.71660.237831
410.0308060.27730.391146
420.0660470.59440.276944
43-0.064981-0.58480.280146
44-0.091187-0.82070.207118
450.0462040.41580.339316
46-0.122256-1.10030.13723
47-0.051777-0.4660.321235
48-0.040236-0.36210.3591
490.0813260.73190.233161
50-0.120468-1.08420.140743
510.0278810.25090.401251
52-0.09789-0.8810.19046
53-0.084433-0.75990.224762
54-0.057844-0.52060.302034
55-0.01863-0.16770.433631
560.0939870.84590.200056
570.0035850.03230.487171
58-0.003549-0.03190.4873
59-0.003846-0.03460.486238
600.0388090.34930.363892

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.356996 & 3.213 & 0.000943 \tabularnewline
2 & -0.334674 & -3.0121 & 0.00173 \tabularnewline
3 & -0.358821 & -3.2294 & 0.000896 \tabularnewline
4 & -0.169236 & -1.5231 & 0.065811 \tabularnewline
5 & 0.033706 & 0.3034 & 0.381199 \tabularnewline
6 & 0.09867 & 0.888 & 0.188577 \tabularnewline
7 & -0.214886 & -1.934 & 0.028304 \tabularnewline
8 & -0.172587 & -1.5533 & 0.062127 \tabularnewline
9 & -0.093911 & -0.8452 & 0.200244 \tabularnewline
10 & 0.007036 & 0.0633 & 0.474831 \tabularnewline
11 & 0.096132 & 0.8652 & 0.194746 \tabularnewline
12 & 0.403256 & 3.6293 & 0.000248 \tabularnewline
13 & -0.284446 & -2.56 & 0.006163 \tabularnewline
14 & 0.169688 & 1.5272 & 0.065305 \tabularnewline
15 & 0.160302 & 1.4427 & 0.076478 \tabularnewline
16 & 0.121361 & 1.0923 & 0.13898 \tabularnewline
17 & -0.075167 & -0.6765 & 0.250325 \tabularnewline
18 & -0.017289 & -0.1556 & 0.438367 \tabularnewline
19 & 0.058959 & 0.5306 & 0.298564 \tabularnewline
20 & -0.008536 & -0.0768 & 0.469475 \tabularnewline
21 & -0.078941 & -0.7105 & 0.239727 \tabularnewline
22 & 0.05011 & 0.451 & 0.326601 \tabularnewline
23 & -0.103176 & -0.9286 & 0.177932 \tabularnewline
24 & 0.057883 & 0.5209 & 0.301914 \tabularnewline
25 & -0.032801 & -0.2952 & 0.384293 \tabularnewline
26 & -0.023561 & -0.2121 & 0.4163 \tabularnewline
27 & -0.088304 & -0.7947 & 0.214545 \tabularnewline
28 & 0.04817 & 0.4335 & 0.332893 \tabularnewline
29 & 0.055259 & 0.4973 & 0.31015 \tabularnewline
30 & -0.090822 & -0.8174 & 0.208049 \tabularnewline
31 & 0.053295 & 0.4797 & 0.316383 \tabularnewline
32 & -0.03005 & -0.2704 & 0.393751 \tabularnewline
33 & 0.063163 & 0.5685 & 0.285645 \tabularnewline
34 & -0.140174 & -1.2616 & 0.105362 \tabularnewline
35 & -0.0397 & -0.3573 & 0.360899 \tabularnewline
36 & 0.033252 & 0.2993 & 0.382752 \tabularnewline
37 & -0.148412 & -1.3357 & 0.092693 \tabularnewline
38 & -0.055082 & -0.4957 & 0.31071 \tabularnewline
39 & 0.062414 & 0.5617 & 0.287927 \tabularnewline
40 & 0.079626 & 0.7166 & 0.237831 \tabularnewline
41 & 0.030806 & 0.2773 & 0.391146 \tabularnewline
42 & 0.066047 & 0.5944 & 0.276944 \tabularnewline
43 & -0.064981 & -0.5848 & 0.280146 \tabularnewline
44 & -0.091187 & -0.8207 & 0.207118 \tabularnewline
45 & 0.046204 & 0.4158 & 0.339316 \tabularnewline
46 & -0.122256 & -1.1003 & 0.13723 \tabularnewline
47 & -0.051777 & -0.466 & 0.321235 \tabularnewline
48 & -0.040236 & -0.3621 & 0.3591 \tabularnewline
49 & 0.081326 & 0.7319 & 0.233161 \tabularnewline
50 & -0.120468 & -1.0842 & 0.140743 \tabularnewline
51 & 0.027881 & 0.2509 & 0.401251 \tabularnewline
52 & -0.09789 & -0.881 & 0.19046 \tabularnewline
53 & -0.084433 & -0.7599 & 0.224762 \tabularnewline
54 & -0.057844 & -0.5206 & 0.302034 \tabularnewline
55 & -0.01863 & -0.1677 & 0.433631 \tabularnewline
56 & 0.093987 & 0.8459 & 0.200056 \tabularnewline
57 & 0.003585 & 0.0323 & 0.487171 \tabularnewline
58 & -0.003549 & -0.0319 & 0.4873 \tabularnewline
59 & -0.003846 & -0.0346 & 0.486238 \tabularnewline
60 & 0.038809 & 0.3493 & 0.363892 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33044&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]0.356996[/C][C]3.213[/C][C]0.000943[/C][/ROW]
[ROW][C]2[/C][C]-0.334674[/C][C]-3.0121[/C][C]0.00173[/C][/ROW]
[ROW][C]3[/C][C]-0.358821[/C][C]-3.2294[/C][C]0.000896[/C][/ROW]
[ROW][C]4[/C][C]-0.169236[/C][C]-1.5231[/C][C]0.065811[/C][/ROW]
[ROW][C]5[/C][C]0.033706[/C][C]0.3034[/C][C]0.381199[/C][/ROW]
[ROW][C]6[/C][C]0.09867[/C][C]0.888[/C][C]0.188577[/C][/ROW]
[ROW][C]7[/C][C]-0.214886[/C][C]-1.934[/C][C]0.028304[/C][/ROW]
[ROW][C]8[/C][C]-0.172587[/C][C]-1.5533[/C][C]0.062127[/C][/ROW]
[ROW][C]9[/C][C]-0.093911[/C][C]-0.8452[/C][C]0.200244[/C][/ROW]
[ROW][C]10[/C][C]0.007036[/C][C]0.0633[/C][C]0.474831[/C][/ROW]
[ROW][C]11[/C][C]0.096132[/C][C]0.8652[/C][C]0.194746[/C][/ROW]
[ROW][C]12[/C][C]0.403256[/C][C]3.6293[/C][C]0.000248[/C][/ROW]
[ROW][C]13[/C][C]-0.284446[/C][C]-2.56[/C][C]0.006163[/C][/ROW]
[ROW][C]14[/C][C]0.169688[/C][C]1.5272[/C][C]0.065305[/C][/ROW]
[ROW][C]15[/C][C]0.160302[/C][C]1.4427[/C][C]0.076478[/C][/ROW]
[ROW][C]16[/C][C]0.121361[/C][C]1.0923[/C][C]0.13898[/C][/ROW]
[ROW][C]17[/C][C]-0.075167[/C][C]-0.6765[/C][C]0.250325[/C][/ROW]
[ROW][C]18[/C][C]-0.017289[/C][C]-0.1556[/C][C]0.438367[/C][/ROW]
[ROW][C]19[/C][C]0.058959[/C][C]0.5306[/C][C]0.298564[/C][/ROW]
[ROW][C]20[/C][C]-0.008536[/C][C]-0.0768[/C][C]0.469475[/C][/ROW]
[ROW][C]21[/C][C]-0.078941[/C][C]-0.7105[/C][C]0.239727[/C][/ROW]
[ROW][C]22[/C][C]0.05011[/C][C]0.451[/C][C]0.326601[/C][/ROW]
[ROW][C]23[/C][C]-0.103176[/C][C]-0.9286[/C][C]0.177932[/C][/ROW]
[ROW][C]24[/C][C]0.057883[/C][C]0.5209[/C][C]0.301914[/C][/ROW]
[ROW][C]25[/C][C]-0.032801[/C][C]-0.2952[/C][C]0.384293[/C][/ROW]
[ROW][C]26[/C][C]-0.023561[/C][C]-0.2121[/C][C]0.4163[/C][/ROW]
[ROW][C]27[/C][C]-0.088304[/C][C]-0.7947[/C][C]0.214545[/C][/ROW]
[ROW][C]28[/C][C]0.04817[/C][C]0.4335[/C][C]0.332893[/C][/ROW]
[ROW][C]29[/C][C]0.055259[/C][C]0.4973[/C][C]0.31015[/C][/ROW]
[ROW][C]30[/C][C]-0.090822[/C][C]-0.8174[/C][C]0.208049[/C][/ROW]
[ROW][C]31[/C][C]0.053295[/C][C]0.4797[/C][C]0.316383[/C][/ROW]
[ROW][C]32[/C][C]-0.03005[/C][C]-0.2704[/C][C]0.393751[/C][/ROW]
[ROW][C]33[/C][C]0.063163[/C][C]0.5685[/C][C]0.285645[/C][/ROW]
[ROW][C]34[/C][C]-0.140174[/C][C]-1.2616[/C][C]0.105362[/C][/ROW]
[ROW][C]35[/C][C]-0.0397[/C][C]-0.3573[/C][C]0.360899[/C][/ROW]
[ROW][C]36[/C][C]0.033252[/C][C]0.2993[/C][C]0.382752[/C][/ROW]
[ROW][C]37[/C][C]-0.148412[/C][C]-1.3357[/C][C]0.092693[/C][/ROW]
[ROW][C]38[/C][C]-0.055082[/C][C]-0.4957[/C][C]0.31071[/C][/ROW]
[ROW][C]39[/C][C]0.062414[/C][C]0.5617[/C][C]0.287927[/C][/ROW]
[ROW][C]40[/C][C]0.079626[/C][C]0.7166[/C][C]0.237831[/C][/ROW]
[ROW][C]41[/C][C]0.030806[/C][C]0.2773[/C][C]0.391146[/C][/ROW]
[ROW][C]42[/C][C]0.066047[/C][C]0.5944[/C][C]0.276944[/C][/ROW]
[ROW][C]43[/C][C]-0.064981[/C][C]-0.5848[/C][C]0.280146[/C][/ROW]
[ROW][C]44[/C][C]-0.091187[/C][C]-0.8207[/C][C]0.207118[/C][/ROW]
[ROW][C]45[/C][C]0.046204[/C][C]0.4158[/C][C]0.339316[/C][/ROW]
[ROW][C]46[/C][C]-0.122256[/C][C]-1.1003[/C][C]0.13723[/C][/ROW]
[ROW][C]47[/C][C]-0.051777[/C][C]-0.466[/C][C]0.321235[/C][/ROW]
[ROW][C]48[/C][C]-0.040236[/C][C]-0.3621[/C][C]0.3591[/C][/ROW]
[ROW][C]49[/C][C]0.081326[/C][C]0.7319[/C][C]0.233161[/C][/ROW]
[ROW][C]50[/C][C]-0.120468[/C][C]-1.0842[/C][C]0.140743[/C][/ROW]
[ROW][C]51[/C][C]0.027881[/C][C]0.2509[/C][C]0.401251[/C][/ROW]
[ROW][C]52[/C][C]-0.09789[/C][C]-0.881[/C][C]0.19046[/C][/ROW]
[ROW][C]53[/C][C]-0.084433[/C][C]-0.7599[/C][C]0.224762[/C][/ROW]
[ROW][C]54[/C][C]-0.057844[/C][C]-0.5206[/C][C]0.302034[/C][/ROW]
[ROW][C]55[/C][C]-0.01863[/C][C]-0.1677[/C][C]0.433631[/C][/ROW]
[ROW][C]56[/C][C]0.093987[/C][C]0.8459[/C][C]0.200056[/C][/ROW]
[ROW][C]57[/C][C]0.003585[/C][C]0.0323[/C][C]0.487171[/C][/ROW]
[ROW][C]58[/C][C]-0.003549[/C][C]-0.0319[/C][C]0.4873[/C][/ROW]
[ROW][C]59[/C][C]-0.003846[/C][C]-0.0346[/C][C]0.486238[/C][/ROW]
[ROW][C]60[/C][C]0.038809[/C][C]0.3493[/C][C]0.363892[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33044&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33044&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
10.3569963.2130.000943
2-0.334674-3.01210.00173
3-0.358821-3.22940.000896
4-0.169236-1.52310.065811
50.0337060.30340.381199
60.098670.8880.188577
7-0.214886-1.9340.028304
8-0.172587-1.55330.062127
9-0.093911-0.84520.200244
100.0070360.06330.474831
110.0961320.86520.194746
120.4032563.62930.000248
13-0.284446-2.560.006163
140.1696881.52720.065305
150.1603021.44270.076478
160.1213611.09230.13898
17-0.075167-0.67650.250325
18-0.017289-0.15560.438367
190.0589590.53060.298564
20-0.008536-0.07680.469475
21-0.078941-0.71050.239727
220.050110.4510.326601
23-0.103176-0.92860.177932
240.0578830.52090.301914
25-0.032801-0.29520.384293
26-0.023561-0.21210.4163
27-0.088304-0.79470.214545
280.048170.43350.332893
290.0552590.49730.31015
30-0.090822-0.81740.208049
310.0532950.47970.316383
32-0.03005-0.27040.393751
330.0631630.56850.285645
34-0.140174-1.26160.105362
35-0.0397-0.35730.360899
360.0332520.29930.382752
37-0.148412-1.33570.092693
38-0.055082-0.49570.31071
390.0624140.56170.287927
400.0796260.71660.237831
410.0308060.27730.391146
420.0660470.59440.276944
43-0.064981-0.58480.280146
44-0.091187-0.82070.207118
450.0462040.41580.339316
46-0.122256-1.10030.13723
47-0.051777-0.4660.321235
48-0.040236-0.36210.3591
490.0813260.73190.233161
50-0.120468-1.08420.140743
510.0278810.25090.401251
52-0.09789-0.8810.19046
53-0.084433-0.75990.224762
54-0.057844-0.52060.302034
55-0.01863-0.16770.433631
560.0939870.84590.200056
570.0035850.03230.487171
58-0.003549-0.03190.4873
59-0.003846-0.03460.486238
600.0388090.34930.363892



Parameters (Session):
par1 = 4 ;
Parameters (R input):
par1 = 60 ; 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')