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of Irreproducible Research!

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 computationMon, 08 Dec 2008 13:48:28 -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/08/t122876956726xiepth8ozim3f.htm/, Retrieved Thu, 16 May 2024 20:33:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31006, Retrieved Thu, 16 May 2024 20:33:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:13:12] [7173087adebe3e3a714c80ea2417b3eb]
-   PD    [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 18:55:20] [7173087adebe3e3a714c80ea2417b3eb]
- RM        [Central Tendency] [central tendency ...] [2008-10-19 19:10:37] [7173087adebe3e3a714c80ea2417b3eb]
- RMP           [(Partial) Autocorrelation Function] [ACF step 2 own da...] [2008-12-08 20:48:28] [95d95b0e883740fcbc85e18ec42dcafb] [Current]
-   PD            [(Partial) Autocorrelation Function] [] [2008-12-22 08:38:52] [82d1081ec88d38a0607f8d504e46982e]
- RMP             [Spectral Analysis] [spectral analysis...] [2008-12-22 11:28:58] [7173087adebe3e3a714c80ea2417b3eb]
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Dataseries X:
5014
6153
6441
5584
6427
6062
5589
6216
5809
4989
6706
7174
6122
8075
6292
6337
8576
6077
5931
6288
7167
6054
6468
6401
6927
7914
7728
8699
8522
6481
7502
7778
7424
6941
8574
9169
7701
9035
7158
8195
8124
7073
7017
7390
7776
6197
6889
7087
6485
7654
6501
6313
7826
6589
6729
5684
8105
6391
5901
6758




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31006&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31006&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31006&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3370262.61060.005699
20.3252032.5190.007226
30.4941953.8280.000155
40.2695182.08770.02054
50.247341.91590.030074
60.2050131.5880.058768
70.1853941.43610.07809
80.1451361.12420.132699
90.3020352.33960.011327
100.0976370.75630.226216
110.0141890.10990.456426
120.2489191.92810.029288
13-0.046167-0.35760.360946
140.0417450.32340.373775
150.061490.47630.317796
16-0.152912-1.18450.120452
17-0.03661-0.28360.388853
18-0.144353-1.11820.13398
19-0.113255-0.87730.19192
20-0.231567-1.79370.03895
21-0.067145-0.52010.302454
22-0.155887-1.20750.11599
23-0.218498-1.69250.047871
24-0.079249-0.61390.270815
25-0.260629-2.01880.023991
26-0.208429-1.61450.055835
27-0.246484-1.90930.030507
28-0.241589-1.87130.033088
29-0.169542-1.31330.097047
30-0.226058-1.7510.042525
31-0.239849-1.85790.034048
32-0.21692-1.68030.049053
33-0.110513-0.8560.197694
34-0.222108-1.72040.045253
35-0.227078-1.75890.041843
360.0071590.05550.477979
37-0.128543-0.99570.1617
38-0.072312-0.56010.28874
39-0.05381-0.41680.339154
40-0.008857-0.06860.472767
41-0.007498-0.05810.47694
42-0.031104-0.24090.405215
430.0106130.08220.467377
44-0.034632-0.26830.394709
450.0524170.4060.343087
460.0348020.26960.394206
47-0.006801-0.05270.479079
480.0415260.32170.374413
490.0345320.26750.395008
500.0513080.39740.34623
510.0400080.30990.378854
520.0313320.24270.404533
530.022990.17810.429629
540.0394670.30570.380442
550.0577820.44760.328034
56-0.018904-0.14640.442035
570.0345980.2680.394811
580.0378320.2930.385249
590.0060930.04720.481257
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.337026 & 2.6106 & 0.005699 \tabularnewline
2 & 0.325203 & 2.519 & 0.007226 \tabularnewline
3 & 0.494195 & 3.828 & 0.000155 \tabularnewline
4 & 0.269518 & 2.0877 & 0.02054 \tabularnewline
5 & 0.24734 & 1.9159 & 0.030074 \tabularnewline
6 & 0.205013 & 1.588 & 0.058768 \tabularnewline
7 & 0.185394 & 1.4361 & 0.07809 \tabularnewline
8 & 0.145136 & 1.1242 & 0.132699 \tabularnewline
9 & 0.302035 & 2.3396 & 0.011327 \tabularnewline
10 & 0.097637 & 0.7563 & 0.226216 \tabularnewline
11 & 0.014189 & 0.1099 & 0.456426 \tabularnewline
12 & 0.248919 & 1.9281 & 0.029288 \tabularnewline
13 & -0.046167 & -0.3576 & 0.360946 \tabularnewline
14 & 0.041745 & 0.3234 & 0.373775 \tabularnewline
15 & 0.06149 & 0.4763 & 0.317796 \tabularnewline
16 & -0.152912 & -1.1845 & 0.120452 \tabularnewline
17 & -0.03661 & -0.2836 & 0.388853 \tabularnewline
18 & -0.144353 & -1.1182 & 0.13398 \tabularnewline
19 & -0.113255 & -0.8773 & 0.19192 \tabularnewline
20 & -0.231567 & -1.7937 & 0.03895 \tabularnewline
21 & -0.067145 & -0.5201 & 0.302454 \tabularnewline
22 & -0.155887 & -1.2075 & 0.11599 \tabularnewline
23 & -0.218498 & -1.6925 & 0.047871 \tabularnewline
24 & -0.079249 & -0.6139 & 0.270815 \tabularnewline
25 & -0.260629 & -2.0188 & 0.023991 \tabularnewline
26 & -0.208429 & -1.6145 & 0.055835 \tabularnewline
27 & -0.246484 & -1.9093 & 0.030507 \tabularnewline
28 & -0.241589 & -1.8713 & 0.033088 \tabularnewline
29 & -0.169542 & -1.3133 & 0.097047 \tabularnewline
30 & -0.226058 & -1.751 & 0.042525 \tabularnewline
31 & -0.239849 & -1.8579 & 0.034048 \tabularnewline
32 & -0.21692 & -1.6803 & 0.049053 \tabularnewline
33 & -0.110513 & -0.856 & 0.197694 \tabularnewline
34 & -0.222108 & -1.7204 & 0.045253 \tabularnewline
35 & -0.227078 & -1.7589 & 0.041843 \tabularnewline
36 & 0.007159 & 0.0555 & 0.477979 \tabularnewline
37 & -0.128543 & -0.9957 & 0.1617 \tabularnewline
38 & -0.072312 & -0.5601 & 0.28874 \tabularnewline
39 & -0.05381 & -0.4168 & 0.339154 \tabularnewline
40 & -0.008857 & -0.0686 & 0.472767 \tabularnewline
41 & -0.007498 & -0.0581 & 0.47694 \tabularnewline
42 & -0.031104 & -0.2409 & 0.405215 \tabularnewline
43 & 0.010613 & 0.0822 & 0.467377 \tabularnewline
44 & -0.034632 & -0.2683 & 0.394709 \tabularnewline
45 & 0.052417 & 0.406 & 0.343087 \tabularnewline
46 & 0.034802 & 0.2696 & 0.394206 \tabularnewline
47 & -0.006801 & -0.0527 & 0.479079 \tabularnewline
48 & 0.041526 & 0.3217 & 0.374413 \tabularnewline
49 & 0.034532 & 0.2675 & 0.395008 \tabularnewline
50 & 0.051308 & 0.3974 & 0.34623 \tabularnewline
51 & 0.040008 & 0.3099 & 0.378854 \tabularnewline
52 & 0.031332 & 0.2427 & 0.404533 \tabularnewline
53 & 0.02299 & 0.1781 & 0.429629 \tabularnewline
54 & 0.039467 & 0.3057 & 0.380442 \tabularnewline
55 & 0.057782 & 0.4476 & 0.328034 \tabularnewline
56 & -0.018904 & -0.1464 & 0.442035 \tabularnewline
57 & 0.034598 & 0.268 & 0.394811 \tabularnewline
58 & 0.037832 & 0.293 & 0.385249 \tabularnewline
59 & 0.006093 & 0.0472 & 0.481257 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31006&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]0.337026[/C][C]2.6106[/C][C]0.005699[/C][/ROW]
[ROW][C]2[/C][C]0.325203[/C][C]2.519[/C][C]0.007226[/C][/ROW]
[ROW][C]3[/C][C]0.494195[/C][C]3.828[/C][C]0.000155[/C][/ROW]
[ROW][C]4[/C][C]0.269518[/C][C]2.0877[/C][C]0.02054[/C][/ROW]
[ROW][C]5[/C][C]0.24734[/C][C]1.9159[/C][C]0.030074[/C][/ROW]
[ROW][C]6[/C][C]0.205013[/C][C]1.588[/C][C]0.058768[/C][/ROW]
[ROW][C]7[/C][C]0.185394[/C][C]1.4361[/C][C]0.07809[/C][/ROW]
[ROW][C]8[/C][C]0.145136[/C][C]1.1242[/C][C]0.132699[/C][/ROW]
[ROW][C]9[/C][C]0.302035[/C][C]2.3396[/C][C]0.011327[/C][/ROW]
[ROW][C]10[/C][C]0.097637[/C][C]0.7563[/C][C]0.226216[/C][/ROW]
[ROW][C]11[/C][C]0.014189[/C][C]0.1099[/C][C]0.456426[/C][/ROW]
[ROW][C]12[/C][C]0.248919[/C][C]1.9281[/C][C]0.029288[/C][/ROW]
[ROW][C]13[/C][C]-0.046167[/C][C]-0.3576[/C][C]0.360946[/C][/ROW]
[ROW][C]14[/C][C]0.041745[/C][C]0.3234[/C][C]0.373775[/C][/ROW]
[ROW][C]15[/C][C]0.06149[/C][C]0.4763[/C][C]0.317796[/C][/ROW]
[ROW][C]16[/C][C]-0.152912[/C][C]-1.1845[/C][C]0.120452[/C][/ROW]
[ROW][C]17[/C][C]-0.03661[/C][C]-0.2836[/C][C]0.388853[/C][/ROW]
[ROW][C]18[/C][C]-0.144353[/C][C]-1.1182[/C][C]0.13398[/C][/ROW]
[ROW][C]19[/C][C]-0.113255[/C][C]-0.8773[/C][C]0.19192[/C][/ROW]
[ROW][C]20[/C][C]-0.231567[/C][C]-1.7937[/C][C]0.03895[/C][/ROW]
[ROW][C]21[/C][C]-0.067145[/C][C]-0.5201[/C][C]0.302454[/C][/ROW]
[ROW][C]22[/C][C]-0.155887[/C][C]-1.2075[/C][C]0.11599[/C][/ROW]
[ROW][C]23[/C][C]-0.218498[/C][C]-1.6925[/C][C]0.047871[/C][/ROW]
[ROW][C]24[/C][C]-0.079249[/C][C]-0.6139[/C][C]0.270815[/C][/ROW]
[ROW][C]25[/C][C]-0.260629[/C][C]-2.0188[/C][C]0.023991[/C][/ROW]
[ROW][C]26[/C][C]-0.208429[/C][C]-1.6145[/C][C]0.055835[/C][/ROW]
[ROW][C]27[/C][C]-0.246484[/C][C]-1.9093[/C][C]0.030507[/C][/ROW]
[ROW][C]28[/C][C]-0.241589[/C][C]-1.8713[/C][C]0.033088[/C][/ROW]
[ROW][C]29[/C][C]-0.169542[/C][C]-1.3133[/C][C]0.097047[/C][/ROW]
[ROW][C]30[/C][C]-0.226058[/C][C]-1.751[/C][C]0.042525[/C][/ROW]
[ROW][C]31[/C][C]-0.239849[/C][C]-1.8579[/C][C]0.034048[/C][/ROW]
[ROW][C]32[/C][C]-0.21692[/C][C]-1.6803[/C][C]0.049053[/C][/ROW]
[ROW][C]33[/C][C]-0.110513[/C][C]-0.856[/C][C]0.197694[/C][/ROW]
[ROW][C]34[/C][C]-0.222108[/C][C]-1.7204[/C][C]0.045253[/C][/ROW]
[ROW][C]35[/C][C]-0.227078[/C][C]-1.7589[/C][C]0.041843[/C][/ROW]
[ROW][C]36[/C][C]0.007159[/C][C]0.0555[/C][C]0.477979[/C][/ROW]
[ROW][C]37[/C][C]-0.128543[/C][C]-0.9957[/C][C]0.1617[/C][/ROW]
[ROW][C]38[/C][C]-0.072312[/C][C]-0.5601[/C][C]0.28874[/C][/ROW]
[ROW][C]39[/C][C]-0.05381[/C][C]-0.4168[/C][C]0.339154[/C][/ROW]
[ROW][C]40[/C][C]-0.008857[/C][C]-0.0686[/C][C]0.472767[/C][/ROW]
[ROW][C]41[/C][C]-0.007498[/C][C]-0.0581[/C][C]0.47694[/C][/ROW]
[ROW][C]42[/C][C]-0.031104[/C][C]-0.2409[/C][C]0.405215[/C][/ROW]
[ROW][C]43[/C][C]0.010613[/C][C]0.0822[/C][C]0.467377[/C][/ROW]
[ROW][C]44[/C][C]-0.034632[/C][C]-0.2683[/C][C]0.394709[/C][/ROW]
[ROW][C]45[/C][C]0.052417[/C][C]0.406[/C][C]0.343087[/C][/ROW]
[ROW][C]46[/C][C]0.034802[/C][C]0.2696[/C][C]0.394206[/C][/ROW]
[ROW][C]47[/C][C]-0.006801[/C][C]-0.0527[/C][C]0.479079[/C][/ROW]
[ROW][C]48[/C][C]0.041526[/C][C]0.3217[/C][C]0.374413[/C][/ROW]
[ROW][C]49[/C][C]0.034532[/C][C]0.2675[/C][C]0.395008[/C][/ROW]
[ROW][C]50[/C][C]0.051308[/C][C]0.3974[/C][C]0.34623[/C][/ROW]
[ROW][C]51[/C][C]0.040008[/C][C]0.3099[/C][C]0.378854[/C][/ROW]
[ROW][C]52[/C][C]0.031332[/C][C]0.2427[/C][C]0.404533[/C][/ROW]
[ROW][C]53[/C][C]0.02299[/C][C]0.1781[/C][C]0.429629[/C][/ROW]
[ROW][C]54[/C][C]0.039467[/C][C]0.3057[/C][C]0.380442[/C][/ROW]
[ROW][C]55[/C][C]0.057782[/C][C]0.4476[/C][C]0.328034[/C][/ROW]
[ROW][C]56[/C][C]-0.018904[/C][C]-0.1464[/C][C]0.442035[/C][/ROW]
[ROW][C]57[/C][C]0.034598[/C][C]0.268[/C][C]0.394811[/C][/ROW]
[ROW][C]58[/C][C]0.037832[/C][C]0.293[/C][C]0.385249[/C][/ROW]
[ROW][C]59[/C][C]0.006093[/C][C]0.0472[/C][C]0.481257[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31006&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31006&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
10.3370262.61060.005699
20.3252032.5190.007226
30.4941953.8280.000155
40.2695182.08770.02054
50.247341.91590.030074
60.2050131.5880.058768
70.1853941.43610.07809
80.1451361.12420.132699
90.3020352.33960.011327
100.0976370.75630.226216
110.0141890.10990.456426
120.2489191.92810.029288
13-0.046167-0.35760.360946
140.0417450.32340.373775
150.061490.47630.317796
16-0.152912-1.18450.120452
17-0.03661-0.28360.388853
18-0.144353-1.11820.13398
19-0.113255-0.87730.19192
20-0.231567-1.79370.03895
21-0.067145-0.52010.302454
22-0.155887-1.20750.11599
23-0.218498-1.69250.047871
24-0.079249-0.61390.270815
25-0.260629-2.01880.023991
26-0.208429-1.61450.055835
27-0.246484-1.90930.030507
28-0.241589-1.87130.033088
29-0.169542-1.31330.097047
30-0.226058-1.7510.042525
31-0.239849-1.85790.034048
32-0.21692-1.68030.049053
33-0.110513-0.8560.197694
34-0.222108-1.72040.045253
35-0.227078-1.75890.041843
360.0071590.05550.477979
37-0.128543-0.99570.1617
38-0.072312-0.56010.28874
39-0.05381-0.41680.339154
40-0.008857-0.06860.472767
41-0.007498-0.05810.47694
42-0.031104-0.24090.405215
430.0106130.08220.467377
44-0.034632-0.26830.394709
450.0524170.4060.343087
460.0348020.26960.394206
47-0.006801-0.05270.479079
480.0415260.32170.374413
490.0345320.26750.395008
500.0513080.39740.34623
510.0400080.30990.378854
520.0313320.24270.404533
530.022990.17810.429629
540.0394670.30570.380442
550.0577820.44760.328034
56-0.018904-0.14640.442035
570.0345980.2680.394811
580.0378320.2930.385249
590.0060930.04720.481257
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3370262.61060.005699
20.2387331.84920.034677
30.3951463.06080.00165
40.0163060.12630.449956
50.0077170.05980.476266
6-0.099351-0.76960.222288
70.0233340.18070.428588
8-0.010082-0.07810.469006
90.2877362.22880.014792
10-0.114358-0.88580.189627
11-0.165377-1.2810.102561
120.0750360.58120.281634
13-0.178378-1.38170.086092
140.1047210.81120.210238
15-0.021549-0.16690.433999
16-0.190241-1.47360.072908
17-0.03998-0.30970.378937
18-0.206694-1.6010.05731
190.1173490.9090.183498
20-0.115562-0.89510.187145
210.1450671.12370.132812
22-0.063608-0.49270.312008
23-0.057302-0.44390.329371
24-0.078523-0.60820.272664
25-0.02126-0.16470.434875
26-0.094589-0.73270.233301
27-0.070917-0.54930.292413
280.0551330.42710.335433
290.04050.31370.377414
300.0263220.20390.419566
31-0.218223-1.69030.048076
320.030330.23490.407529
330.0128570.09960.460501
34-0.012135-0.0940.462713
350.0342270.26510.395912
360.1106410.8570.197421
370.0276550.21420.415554
38-0.094991-0.73580.23236
390.0030740.02380.490542
400.1025250.79420.215118
410.023360.18090.42851
42-0.051313-0.39750.346217
43-0.046087-0.3570.361177
44-0.092811-0.71890.237493
45-0.082814-0.64150.261829
460.1332031.03180.153157
47-0.04764-0.3690.356705
48-0.025088-0.19430.423286
49-0.07449-0.5770.283051
50-0.055032-0.42630.335717
51-0.02873-0.22250.412325
52-0.019625-0.1520.439844
53-0.0123-0.09530.462205
540.0118520.09180.463581
55-0.037226-0.28830.387037
560.0477050.36950.35652
57-0.061428-0.47580.317967
58-0.057665-0.44670.32836
590.0053540.04150.483529
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.337026 & 2.6106 & 0.005699 \tabularnewline
2 & 0.238733 & 1.8492 & 0.034677 \tabularnewline
3 & 0.395146 & 3.0608 & 0.00165 \tabularnewline
4 & 0.016306 & 0.1263 & 0.449956 \tabularnewline
5 & 0.007717 & 0.0598 & 0.476266 \tabularnewline
6 & -0.099351 & -0.7696 & 0.222288 \tabularnewline
7 & 0.023334 & 0.1807 & 0.428588 \tabularnewline
8 & -0.010082 & -0.0781 & 0.469006 \tabularnewline
9 & 0.287736 & 2.2288 & 0.014792 \tabularnewline
10 & -0.114358 & -0.8858 & 0.189627 \tabularnewline
11 & -0.165377 & -1.281 & 0.102561 \tabularnewline
12 & 0.075036 & 0.5812 & 0.281634 \tabularnewline
13 & -0.178378 & -1.3817 & 0.086092 \tabularnewline
14 & 0.104721 & 0.8112 & 0.210238 \tabularnewline
15 & -0.021549 & -0.1669 & 0.433999 \tabularnewline
16 & -0.190241 & -1.4736 & 0.072908 \tabularnewline
17 & -0.03998 & -0.3097 & 0.378937 \tabularnewline
18 & -0.206694 & -1.601 & 0.05731 \tabularnewline
19 & 0.117349 & 0.909 & 0.183498 \tabularnewline
20 & -0.115562 & -0.8951 & 0.187145 \tabularnewline
21 & 0.145067 & 1.1237 & 0.132812 \tabularnewline
22 & -0.063608 & -0.4927 & 0.312008 \tabularnewline
23 & -0.057302 & -0.4439 & 0.329371 \tabularnewline
24 & -0.078523 & -0.6082 & 0.272664 \tabularnewline
25 & -0.02126 & -0.1647 & 0.434875 \tabularnewline
26 & -0.094589 & -0.7327 & 0.233301 \tabularnewline
27 & -0.070917 & -0.5493 & 0.292413 \tabularnewline
28 & 0.055133 & 0.4271 & 0.335433 \tabularnewline
29 & 0.0405 & 0.3137 & 0.377414 \tabularnewline
30 & 0.026322 & 0.2039 & 0.419566 \tabularnewline
31 & -0.218223 & -1.6903 & 0.048076 \tabularnewline
32 & 0.03033 & 0.2349 & 0.407529 \tabularnewline
33 & 0.012857 & 0.0996 & 0.460501 \tabularnewline
34 & -0.012135 & -0.094 & 0.462713 \tabularnewline
35 & 0.034227 & 0.2651 & 0.395912 \tabularnewline
36 & 0.110641 & 0.857 & 0.197421 \tabularnewline
37 & 0.027655 & 0.2142 & 0.415554 \tabularnewline
38 & -0.094991 & -0.7358 & 0.23236 \tabularnewline
39 & 0.003074 & 0.0238 & 0.490542 \tabularnewline
40 & 0.102525 & 0.7942 & 0.215118 \tabularnewline
41 & 0.02336 & 0.1809 & 0.42851 \tabularnewline
42 & -0.051313 & -0.3975 & 0.346217 \tabularnewline
43 & -0.046087 & -0.357 & 0.361177 \tabularnewline
44 & -0.092811 & -0.7189 & 0.237493 \tabularnewline
45 & -0.082814 & -0.6415 & 0.261829 \tabularnewline
46 & 0.133203 & 1.0318 & 0.153157 \tabularnewline
47 & -0.04764 & -0.369 & 0.356705 \tabularnewline
48 & -0.025088 & -0.1943 & 0.423286 \tabularnewline
49 & -0.07449 & -0.577 & 0.283051 \tabularnewline
50 & -0.055032 & -0.4263 & 0.335717 \tabularnewline
51 & -0.02873 & -0.2225 & 0.412325 \tabularnewline
52 & -0.019625 & -0.152 & 0.439844 \tabularnewline
53 & -0.0123 & -0.0953 & 0.462205 \tabularnewline
54 & 0.011852 & 0.0918 & 0.463581 \tabularnewline
55 & -0.037226 & -0.2883 & 0.387037 \tabularnewline
56 & 0.047705 & 0.3695 & 0.35652 \tabularnewline
57 & -0.061428 & -0.4758 & 0.317967 \tabularnewline
58 & -0.057665 & -0.4467 & 0.32836 \tabularnewline
59 & 0.005354 & 0.0415 & 0.483529 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31006&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]0.337026[/C][C]2.6106[/C][C]0.005699[/C][/ROW]
[ROW][C]2[/C][C]0.238733[/C][C]1.8492[/C][C]0.034677[/C][/ROW]
[ROW][C]3[/C][C]0.395146[/C][C]3.0608[/C][C]0.00165[/C][/ROW]
[ROW][C]4[/C][C]0.016306[/C][C]0.1263[/C][C]0.449956[/C][/ROW]
[ROW][C]5[/C][C]0.007717[/C][C]0.0598[/C][C]0.476266[/C][/ROW]
[ROW][C]6[/C][C]-0.099351[/C][C]-0.7696[/C][C]0.222288[/C][/ROW]
[ROW][C]7[/C][C]0.023334[/C][C]0.1807[/C][C]0.428588[/C][/ROW]
[ROW][C]8[/C][C]-0.010082[/C][C]-0.0781[/C][C]0.469006[/C][/ROW]
[ROW][C]9[/C][C]0.287736[/C][C]2.2288[/C][C]0.014792[/C][/ROW]
[ROW][C]10[/C][C]-0.114358[/C][C]-0.8858[/C][C]0.189627[/C][/ROW]
[ROW][C]11[/C][C]-0.165377[/C][C]-1.281[/C][C]0.102561[/C][/ROW]
[ROW][C]12[/C][C]0.075036[/C][C]0.5812[/C][C]0.281634[/C][/ROW]
[ROW][C]13[/C][C]-0.178378[/C][C]-1.3817[/C][C]0.086092[/C][/ROW]
[ROW][C]14[/C][C]0.104721[/C][C]0.8112[/C][C]0.210238[/C][/ROW]
[ROW][C]15[/C][C]-0.021549[/C][C]-0.1669[/C][C]0.433999[/C][/ROW]
[ROW][C]16[/C][C]-0.190241[/C][C]-1.4736[/C][C]0.072908[/C][/ROW]
[ROW][C]17[/C][C]-0.03998[/C][C]-0.3097[/C][C]0.378937[/C][/ROW]
[ROW][C]18[/C][C]-0.206694[/C][C]-1.601[/C][C]0.05731[/C][/ROW]
[ROW][C]19[/C][C]0.117349[/C][C]0.909[/C][C]0.183498[/C][/ROW]
[ROW][C]20[/C][C]-0.115562[/C][C]-0.8951[/C][C]0.187145[/C][/ROW]
[ROW][C]21[/C][C]0.145067[/C][C]1.1237[/C][C]0.132812[/C][/ROW]
[ROW][C]22[/C][C]-0.063608[/C][C]-0.4927[/C][C]0.312008[/C][/ROW]
[ROW][C]23[/C][C]-0.057302[/C][C]-0.4439[/C][C]0.329371[/C][/ROW]
[ROW][C]24[/C][C]-0.078523[/C][C]-0.6082[/C][C]0.272664[/C][/ROW]
[ROW][C]25[/C][C]-0.02126[/C][C]-0.1647[/C][C]0.434875[/C][/ROW]
[ROW][C]26[/C][C]-0.094589[/C][C]-0.7327[/C][C]0.233301[/C][/ROW]
[ROW][C]27[/C][C]-0.070917[/C][C]-0.5493[/C][C]0.292413[/C][/ROW]
[ROW][C]28[/C][C]0.055133[/C][C]0.4271[/C][C]0.335433[/C][/ROW]
[ROW][C]29[/C][C]0.0405[/C][C]0.3137[/C][C]0.377414[/C][/ROW]
[ROW][C]30[/C][C]0.026322[/C][C]0.2039[/C][C]0.419566[/C][/ROW]
[ROW][C]31[/C][C]-0.218223[/C][C]-1.6903[/C][C]0.048076[/C][/ROW]
[ROW][C]32[/C][C]0.03033[/C][C]0.2349[/C][C]0.407529[/C][/ROW]
[ROW][C]33[/C][C]0.012857[/C][C]0.0996[/C][C]0.460501[/C][/ROW]
[ROW][C]34[/C][C]-0.012135[/C][C]-0.094[/C][C]0.462713[/C][/ROW]
[ROW][C]35[/C][C]0.034227[/C][C]0.2651[/C][C]0.395912[/C][/ROW]
[ROW][C]36[/C][C]0.110641[/C][C]0.857[/C][C]0.197421[/C][/ROW]
[ROW][C]37[/C][C]0.027655[/C][C]0.2142[/C][C]0.415554[/C][/ROW]
[ROW][C]38[/C][C]-0.094991[/C][C]-0.7358[/C][C]0.23236[/C][/ROW]
[ROW][C]39[/C][C]0.003074[/C][C]0.0238[/C][C]0.490542[/C][/ROW]
[ROW][C]40[/C][C]0.102525[/C][C]0.7942[/C][C]0.215118[/C][/ROW]
[ROW][C]41[/C][C]0.02336[/C][C]0.1809[/C][C]0.42851[/C][/ROW]
[ROW][C]42[/C][C]-0.051313[/C][C]-0.3975[/C][C]0.346217[/C][/ROW]
[ROW][C]43[/C][C]-0.046087[/C][C]-0.357[/C][C]0.361177[/C][/ROW]
[ROW][C]44[/C][C]-0.092811[/C][C]-0.7189[/C][C]0.237493[/C][/ROW]
[ROW][C]45[/C][C]-0.082814[/C][C]-0.6415[/C][C]0.261829[/C][/ROW]
[ROW][C]46[/C][C]0.133203[/C][C]1.0318[/C][C]0.153157[/C][/ROW]
[ROW][C]47[/C][C]-0.04764[/C][C]-0.369[/C][C]0.356705[/C][/ROW]
[ROW][C]48[/C][C]-0.025088[/C][C]-0.1943[/C][C]0.423286[/C][/ROW]
[ROW][C]49[/C][C]-0.07449[/C][C]-0.577[/C][C]0.283051[/C][/ROW]
[ROW][C]50[/C][C]-0.055032[/C][C]-0.4263[/C][C]0.335717[/C][/ROW]
[ROW][C]51[/C][C]-0.02873[/C][C]-0.2225[/C][C]0.412325[/C][/ROW]
[ROW][C]52[/C][C]-0.019625[/C][C]-0.152[/C][C]0.439844[/C][/ROW]
[ROW][C]53[/C][C]-0.0123[/C][C]-0.0953[/C][C]0.462205[/C][/ROW]
[ROW][C]54[/C][C]0.011852[/C][C]0.0918[/C][C]0.463581[/C][/ROW]
[ROW][C]55[/C][C]-0.037226[/C][C]-0.2883[/C][C]0.387037[/C][/ROW]
[ROW][C]56[/C][C]0.047705[/C][C]0.3695[/C][C]0.35652[/C][/ROW]
[ROW][C]57[/C][C]-0.061428[/C][C]-0.4758[/C][C]0.317967[/C][/ROW]
[ROW][C]58[/C][C]-0.057665[/C][C]-0.4467[/C][C]0.32836[/C][/ROW]
[ROW][C]59[/C][C]0.005354[/C][C]0.0415[/C][C]0.483529[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31006&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31006&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
10.3370262.61060.005699
20.2387331.84920.034677
30.3951463.06080.00165
40.0163060.12630.449956
50.0077170.05980.476266
6-0.099351-0.76960.222288
70.0233340.18070.428588
8-0.010082-0.07810.469006
90.2877362.22880.014792
10-0.114358-0.88580.189627
11-0.165377-1.2810.102561
120.0750360.58120.281634
13-0.178378-1.38170.086092
140.1047210.81120.210238
15-0.021549-0.16690.433999
16-0.190241-1.47360.072908
17-0.03998-0.30970.378937
18-0.206694-1.6010.05731
190.1173490.9090.183498
20-0.115562-0.89510.187145
210.1450671.12370.132812
22-0.063608-0.49270.312008
23-0.057302-0.44390.329371
24-0.078523-0.60820.272664
25-0.02126-0.16470.434875
26-0.094589-0.73270.233301
27-0.070917-0.54930.292413
280.0551330.42710.335433
290.04050.31370.377414
300.0263220.20390.419566
31-0.218223-1.69030.048076
320.030330.23490.407529
330.0128570.09960.460501
34-0.012135-0.0940.462713
350.0342270.26510.395912
360.1106410.8570.197421
370.0276550.21420.415554
38-0.094991-0.73580.23236
390.0030740.02380.490542
400.1025250.79420.215118
410.023360.18090.42851
42-0.051313-0.39750.346217
43-0.046087-0.3570.361177
44-0.092811-0.71890.237493
45-0.082814-0.64150.261829
460.1332031.03180.153157
47-0.04764-0.3690.356705
48-0.025088-0.19430.423286
49-0.07449-0.5770.283051
50-0.055032-0.42630.335717
51-0.02873-0.22250.412325
52-0.019625-0.1520.439844
53-0.0123-0.09530.462205
540.0118520.09180.463581
55-0.037226-0.28830.387037
560.0477050.36950.35652
57-0.061428-0.47580.317967
58-0.057665-0.44670.32836
590.0053540.04150.483529
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; 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')