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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 14 May 2009 12:52:05 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t12423272004nuwq00gckamjrc.htm/, Retrieved Mon, 29 Apr 2024 01:33:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40095, Retrieved Mon, 29 Apr 2024 01:33:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelation-f...] [2009-05-14 18:52:05] [267e4485b61217b9c165d444603a8c11] [Current]
-   P     [(Partial) Autocorrelation Function] [autocorrelation-f...] [2009-06-04 17:11:44] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
1
-1
3
4
3
2
1
4
3
5
6
6
6
6
6
5
6
5
6
5
7
4
5
6
6
5
3
2
3
3
2
0
4
4
5
6
6
5
5
3
5
5
5
3
6
6
4
6
5
4
5
5
4
3
2
3
2
-1
0
-2
1
-2
-2
-2
-6
-4
-2
0
-5
-4
-5
-1




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=40095&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=40095&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40095&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
10.8305637.04760
20.7417276.29380
30.6640485.63460
40.6355495.39280
50.5938455.03892e-06
60.5145724.36632.1e-05
70.4305183.65310.000244
80.3243782.75240.00374
90.2667352.26330.013316
100.2018061.71240.045565
110.1626061.37980.085965
120.1090620.92540.178919
130.0329770.27980.390211
14-0.034001-0.28850.386893
15-0.061134-0.51870.302767
16-0.084624-0.71810.237524
17-0.14682-1.24580.108437
18-0.149818-1.27120.103866
19-0.177861-1.50920.067811
20-0.153992-1.30670.097742
21-0.137637-1.16790.123353
22-0.112401-0.95380.171699
23-0.130882-1.11060.135224
24-0.114299-0.96990.167682
25-0.05696-0.48330.315168
26-0.046752-0.39670.346381
27-0.040642-0.34490.365603
28-0.054797-0.4650.32168
29-0.061665-0.52320.301205
30-0.028005-0.23760.40642
31-0.009145-0.07760.46918
32-0.034912-0.29620.383951
33-0.03791-0.32170.374315
34-0.059123-0.50170.308714
35-0.061437-0.52130.301874
36-0.072404-0.61440.270453
37-0.038289-0.32490.373101
38-0.039238-0.33290.370071
39-0.089139-0.75640.225947
40-0.122192-1.03680.151642
41-0.173915-1.47570.07219
42-0.178279-1.51270.067361
43-0.215657-1.82990.035701
44-0.267608-2.27070.013078
45-0.300888-2.55310.006398
46-0.320735-2.72150.004072
47-0.303696-2.57690.006008
48-0.296903-2.51930.006989

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.830563 & 7.0476 & 0 \tabularnewline
2 & 0.741727 & 6.2938 & 0 \tabularnewline
3 & 0.664048 & 5.6346 & 0 \tabularnewline
4 & 0.635549 & 5.3928 & 0 \tabularnewline
5 & 0.593845 & 5.0389 & 2e-06 \tabularnewline
6 & 0.514572 & 4.3663 & 2.1e-05 \tabularnewline
7 & 0.430518 & 3.6531 & 0.000244 \tabularnewline
8 & 0.324378 & 2.7524 & 0.00374 \tabularnewline
9 & 0.266735 & 2.2633 & 0.013316 \tabularnewline
10 & 0.201806 & 1.7124 & 0.045565 \tabularnewline
11 & 0.162606 & 1.3798 & 0.085965 \tabularnewline
12 & 0.109062 & 0.9254 & 0.178919 \tabularnewline
13 & 0.032977 & 0.2798 & 0.390211 \tabularnewline
14 & -0.034001 & -0.2885 & 0.386893 \tabularnewline
15 & -0.061134 & -0.5187 & 0.302767 \tabularnewline
16 & -0.084624 & -0.7181 & 0.237524 \tabularnewline
17 & -0.14682 & -1.2458 & 0.108437 \tabularnewline
18 & -0.149818 & -1.2712 & 0.103866 \tabularnewline
19 & -0.177861 & -1.5092 & 0.067811 \tabularnewline
20 & -0.153992 & -1.3067 & 0.097742 \tabularnewline
21 & -0.137637 & -1.1679 & 0.123353 \tabularnewline
22 & -0.112401 & -0.9538 & 0.171699 \tabularnewline
23 & -0.130882 & -1.1106 & 0.135224 \tabularnewline
24 & -0.114299 & -0.9699 & 0.167682 \tabularnewline
25 & -0.05696 & -0.4833 & 0.315168 \tabularnewline
26 & -0.046752 & -0.3967 & 0.346381 \tabularnewline
27 & -0.040642 & -0.3449 & 0.365603 \tabularnewline
28 & -0.054797 & -0.465 & 0.32168 \tabularnewline
29 & -0.061665 & -0.5232 & 0.301205 \tabularnewline
30 & -0.028005 & -0.2376 & 0.40642 \tabularnewline
31 & -0.009145 & -0.0776 & 0.46918 \tabularnewline
32 & -0.034912 & -0.2962 & 0.383951 \tabularnewline
33 & -0.03791 & -0.3217 & 0.374315 \tabularnewline
34 & -0.059123 & -0.5017 & 0.308714 \tabularnewline
35 & -0.061437 & -0.5213 & 0.301874 \tabularnewline
36 & -0.072404 & -0.6144 & 0.270453 \tabularnewline
37 & -0.038289 & -0.3249 & 0.373101 \tabularnewline
38 & -0.039238 & -0.3329 & 0.370071 \tabularnewline
39 & -0.089139 & -0.7564 & 0.225947 \tabularnewline
40 & -0.122192 & -1.0368 & 0.151642 \tabularnewline
41 & -0.173915 & -1.4757 & 0.07219 \tabularnewline
42 & -0.178279 & -1.5127 & 0.067361 \tabularnewline
43 & -0.215657 & -1.8299 & 0.035701 \tabularnewline
44 & -0.267608 & -2.2707 & 0.013078 \tabularnewline
45 & -0.300888 & -2.5531 & 0.006398 \tabularnewline
46 & -0.320735 & -2.7215 & 0.004072 \tabularnewline
47 & -0.303696 & -2.5769 & 0.006008 \tabularnewline
48 & -0.296903 & -2.5193 & 0.006989 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40095&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]0.830563[/C][C]7.0476[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.741727[/C][C]6.2938[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.664048[/C][C]5.6346[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.635549[/C][C]5.3928[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.593845[/C][C]5.0389[/C][C]2e-06[/C][/ROW]
[ROW][C]6[/C][C]0.514572[/C][C]4.3663[/C][C]2.1e-05[/C][/ROW]
[ROW][C]7[/C][C]0.430518[/C][C]3.6531[/C][C]0.000244[/C][/ROW]
[ROW][C]8[/C][C]0.324378[/C][C]2.7524[/C][C]0.00374[/C][/ROW]
[ROW][C]9[/C][C]0.266735[/C][C]2.2633[/C][C]0.013316[/C][/ROW]
[ROW][C]10[/C][C]0.201806[/C][C]1.7124[/C][C]0.045565[/C][/ROW]
[ROW][C]11[/C][C]0.162606[/C][C]1.3798[/C][C]0.085965[/C][/ROW]
[ROW][C]12[/C][C]0.109062[/C][C]0.9254[/C][C]0.178919[/C][/ROW]
[ROW][C]13[/C][C]0.032977[/C][C]0.2798[/C][C]0.390211[/C][/ROW]
[ROW][C]14[/C][C]-0.034001[/C][C]-0.2885[/C][C]0.386893[/C][/ROW]
[ROW][C]15[/C][C]-0.061134[/C][C]-0.5187[/C][C]0.302767[/C][/ROW]
[ROW][C]16[/C][C]-0.084624[/C][C]-0.7181[/C][C]0.237524[/C][/ROW]
[ROW][C]17[/C][C]-0.14682[/C][C]-1.2458[/C][C]0.108437[/C][/ROW]
[ROW][C]18[/C][C]-0.149818[/C][C]-1.2712[/C][C]0.103866[/C][/ROW]
[ROW][C]19[/C][C]-0.177861[/C][C]-1.5092[/C][C]0.067811[/C][/ROW]
[ROW][C]20[/C][C]-0.153992[/C][C]-1.3067[/C][C]0.097742[/C][/ROW]
[ROW][C]21[/C][C]-0.137637[/C][C]-1.1679[/C][C]0.123353[/C][/ROW]
[ROW][C]22[/C][C]-0.112401[/C][C]-0.9538[/C][C]0.171699[/C][/ROW]
[ROW][C]23[/C][C]-0.130882[/C][C]-1.1106[/C][C]0.135224[/C][/ROW]
[ROW][C]24[/C][C]-0.114299[/C][C]-0.9699[/C][C]0.167682[/C][/ROW]
[ROW][C]25[/C][C]-0.05696[/C][C]-0.4833[/C][C]0.315168[/C][/ROW]
[ROW][C]26[/C][C]-0.046752[/C][C]-0.3967[/C][C]0.346381[/C][/ROW]
[ROW][C]27[/C][C]-0.040642[/C][C]-0.3449[/C][C]0.365603[/C][/ROW]
[ROW][C]28[/C][C]-0.054797[/C][C]-0.465[/C][C]0.32168[/C][/ROW]
[ROW][C]29[/C][C]-0.061665[/C][C]-0.5232[/C][C]0.301205[/C][/ROW]
[ROW][C]30[/C][C]-0.028005[/C][C]-0.2376[/C][C]0.40642[/C][/ROW]
[ROW][C]31[/C][C]-0.009145[/C][C]-0.0776[/C][C]0.46918[/C][/ROW]
[ROW][C]32[/C][C]-0.034912[/C][C]-0.2962[/C][C]0.383951[/C][/ROW]
[ROW][C]33[/C][C]-0.03791[/C][C]-0.3217[/C][C]0.374315[/C][/ROW]
[ROW][C]34[/C][C]-0.059123[/C][C]-0.5017[/C][C]0.308714[/C][/ROW]
[ROW][C]35[/C][C]-0.061437[/C][C]-0.5213[/C][C]0.301874[/C][/ROW]
[ROW][C]36[/C][C]-0.072404[/C][C]-0.6144[/C][C]0.270453[/C][/ROW]
[ROW][C]37[/C][C]-0.038289[/C][C]-0.3249[/C][C]0.373101[/C][/ROW]
[ROW][C]38[/C][C]-0.039238[/C][C]-0.3329[/C][C]0.370071[/C][/ROW]
[ROW][C]39[/C][C]-0.089139[/C][C]-0.7564[/C][C]0.225947[/C][/ROW]
[ROW][C]40[/C][C]-0.122192[/C][C]-1.0368[/C][C]0.151642[/C][/ROW]
[ROW][C]41[/C][C]-0.173915[/C][C]-1.4757[/C][C]0.07219[/C][/ROW]
[ROW][C]42[/C][C]-0.178279[/C][C]-1.5127[/C][C]0.067361[/C][/ROW]
[ROW][C]43[/C][C]-0.215657[/C][C]-1.8299[/C][C]0.035701[/C][/ROW]
[ROW][C]44[/C][C]-0.267608[/C][C]-2.2707[/C][C]0.013078[/C][/ROW]
[ROW][C]45[/C][C]-0.300888[/C][C]-2.5531[/C][C]0.006398[/C][/ROW]
[ROW][C]46[/C][C]-0.320735[/C][C]-2.7215[/C][C]0.004072[/C][/ROW]
[ROW][C]47[/C][C]-0.303696[/C][C]-2.5769[/C][C]0.006008[/C][/ROW]
[ROW][C]48[/C][C]-0.296903[/C][C]-2.5193[/C][C]0.006989[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40095&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40095&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
10.8305637.04760
20.7417276.29380
30.6640485.63460
40.6355495.39280
50.5938455.03892e-06
60.5145724.36632.1e-05
70.4305183.65310.000244
80.3243782.75240.00374
90.2667352.26330.013316
100.2018061.71240.045565
110.1626061.37980.085965
120.1090620.92540.178919
130.0329770.27980.390211
14-0.034001-0.28850.386893
15-0.061134-0.51870.302767
16-0.084624-0.71810.237524
17-0.14682-1.24580.108437
18-0.149818-1.27120.103866
19-0.177861-1.50920.067811
20-0.153992-1.30670.097742
21-0.137637-1.16790.123353
22-0.112401-0.95380.171699
23-0.130882-1.11060.135224
24-0.114299-0.96990.167682
25-0.05696-0.48330.315168
26-0.046752-0.39670.346381
27-0.040642-0.34490.365603
28-0.054797-0.4650.32168
29-0.061665-0.52320.301205
30-0.028005-0.23760.40642
31-0.009145-0.07760.46918
32-0.034912-0.29620.383951
33-0.03791-0.32170.374315
34-0.059123-0.50170.308714
35-0.061437-0.52130.301874
36-0.072404-0.61440.270453
37-0.038289-0.32490.373101
38-0.039238-0.33290.370071
39-0.089139-0.75640.225947
40-0.122192-1.03680.151642
41-0.173915-1.47570.07219
42-0.178279-1.51270.067361
43-0.215657-1.82990.035701
44-0.267608-2.27070.013078
45-0.300888-2.55310.006398
46-0.320735-2.72150.004072
47-0.303696-2.57690.006008
48-0.296903-2.51930.006989







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8305637.04760
20.1673051.41960.080015
30.0401610.34080.367132
40.1458571.23760.109935
50.0214250.18180.428127
6-0.126317-1.07180.143687
7-0.093442-0.79290.215225
8-0.17036-1.44560.07632
9-3.7e-05-3e-040.499875
10-0.046804-0.39710.346219
110.0387390.32870.371663
120.0029120.02470.490178
13-0.094474-0.80160.212701
14-0.061796-0.52440.30082
150.0580990.4930.31176
16-0.024553-0.20830.417778
17-0.141967-1.20460.116145
180.1339951.1370.129658
19-0.021964-0.18640.426339
200.1098720.93230.177149
210.0726180.61620.269859
220.0483680.41040.341359
23-0.124561-1.05690.147038
240.047820.40580.343058
250.1175840.99770.160875
26-0.106294-0.90190.185049
27-0.10564-0.89640.186517
28-0.019388-0.16450.434895
29-0.055133-0.46780.320662
300.088250.74880.228202
31-0.015218-0.12910.448806
32-0.139101-1.18030.12088
330.0587310.49830.309879
34-0.077008-0.65340.257778
350.0420240.35660.361224
36-0.071726-0.60860.272348
370.1353981.14890.127202
380.0249510.21170.416464
39-0.101165-0.85840.196757
40-0.096005-0.81460.208984
41-0.138133-1.17210.122511
42-0.021022-0.17840.429464
43-0.12292-1.0430.150217
44-0.08693-0.73760.231569
450.0389160.33020.371098
46-0.038989-0.33080.370866
470.1438421.22050.113121
480.1100070.93340.176855

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.830563 & 7.0476 & 0 \tabularnewline
2 & 0.167305 & 1.4196 & 0.080015 \tabularnewline
3 & 0.040161 & 0.3408 & 0.367132 \tabularnewline
4 & 0.145857 & 1.2376 & 0.109935 \tabularnewline
5 & 0.021425 & 0.1818 & 0.428127 \tabularnewline
6 & -0.126317 & -1.0718 & 0.143687 \tabularnewline
7 & -0.093442 & -0.7929 & 0.215225 \tabularnewline
8 & -0.17036 & -1.4456 & 0.07632 \tabularnewline
9 & -3.7e-05 & -3e-04 & 0.499875 \tabularnewline
10 & -0.046804 & -0.3971 & 0.346219 \tabularnewline
11 & 0.038739 & 0.3287 & 0.371663 \tabularnewline
12 & 0.002912 & 0.0247 & 0.490178 \tabularnewline
13 & -0.094474 & -0.8016 & 0.212701 \tabularnewline
14 & -0.061796 & -0.5244 & 0.30082 \tabularnewline
15 & 0.058099 & 0.493 & 0.31176 \tabularnewline
16 & -0.024553 & -0.2083 & 0.417778 \tabularnewline
17 & -0.141967 & -1.2046 & 0.116145 \tabularnewline
18 & 0.133995 & 1.137 & 0.129658 \tabularnewline
19 & -0.021964 & -0.1864 & 0.426339 \tabularnewline
20 & 0.109872 & 0.9323 & 0.177149 \tabularnewline
21 & 0.072618 & 0.6162 & 0.269859 \tabularnewline
22 & 0.048368 & 0.4104 & 0.341359 \tabularnewline
23 & -0.124561 & -1.0569 & 0.147038 \tabularnewline
24 & 0.04782 & 0.4058 & 0.343058 \tabularnewline
25 & 0.117584 & 0.9977 & 0.160875 \tabularnewline
26 & -0.106294 & -0.9019 & 0.185049 \tabularnewline
27 & -0.10564 & -0.8964 & 0.186517 \tabularnewline
28 & -0.019388 & -0.1645 & 0.434895 \tabularnewline
29 & -0.055133 & -0.4678 & 0.320662 \tabularnewline
30 & 0.08825 & 0.7488 & 0.228202 \tabularnewline
31 & -0.015218 & -0.1291 & 0.448806 \tabularnewline
32 & -0.139101 & -1.1803 & 0.12088 \tabularnewline
33 & 0.058731 & 0.4983 & 0.309879 \tabularnewline
34 & -0.077008 & -0.6534 & 0.257778 \tabularnewline
35 & 0.042024 & 0.3566 & 0.361224 \tabularnewline
36 & -0.071726 & -0.6086 & 0.272348 \tabularnewline
37 & 0.135398 & 1.1489 & 0.127202 \tabularnewline
38 & 0.024951 & 0.2117 & 0.416464 \tabularnewline
39 & -0.101165 & -0.8584 & 0.196757 \tabularnewline
40 & -0.096005 & -0.8146 & 0.208984 \tabularnewline
41 & -0.138133 & -1.1721 & 0.122511 \tabularnewline
42 & -0.021022 & -0.1784 & 0.429464 \tabularnewline
43 & -0.12292 & -1.043 & 0.150217 \tabularnewline
44 & -0.08693 & -0.7376 & 0.231569 \tabularnewline
45 & 0.038916 & 0.3302 & 0.371098 \tabularnewline
46 & -0.038989 & -0.3308 & 0.370866 \tabularnewline
47 & 0.143842 & 1.2205 & 0.113121 \tabularnewline
48 & 0.110007 & 0.9334 & 0.176855 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40095&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]0.830563[/C][C]7.0476[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.167305[/C][C]1.4196[/C][C]0.080015[/C][/ROW]
[ROW][C]3[/C][C]0.040161[/C][C]0.3408[/C][C]0.367132[/C][/ROW]
[ROW][C]4[/C][C]0.145857[/C][C]1.2376[/C][C]0.109935[/C][/ROW]
[ROW][C]5[/C][C]0.021425[/C][C]0.1818[/C][C]0.428127[/C][/ROW]
[ROW][C]6[/C][C]-0.126317[/C][C]-1.0718[/C][C]0.143687[/C][/ROW]
[ROW][C]7[/C][C]-0.093442[/C][C]-0.7929[/C][C]0.215225[/C][/ROW]
[ROW][C]8[/C][C]-0.17036[/C][C]-1.4456[/C][C]0.07632[/C][/ROW]
[ROW][C]9[/C][C]-3.7e-05[/C][C]-3e-04[/C][C]0.499875[/C][/ROW]
[ROW][C]10[/C][C]-0.046804[/C][C]-0.3971[/C][C]0.346219[/C][/ROW]
[ROW][C]11[/C][C]0.038739[/C][C]0.3287[/C][C]0.371663[/C][/ROW]
[ROW][C]12[/C][C]0.002912[/C][C]0.0247[/C][C]0.490178[/C][/ROW]
[ROW][C]13[/C][C]-0.094474[/C][C]-0.8016[/C][C]0.212701[/C][/ROW]
[ROW][C]14[/C][C]-0.061796[/C][C]-0.5244[/C][C]0.30082[/C][/ROW]
[ROW][C]15[/C][C]0.058099[/C][C]0.493[/C][C]0.31176[/C][/ROW]
[ROW][C]16[/C][C]-0.024553[/C][C]-0.2083[/C][C]0.417778[/C][/ROW]
[ROW][C]17[/C][C]-0.141967[/C][C]-1.2046[/C][C]0.116145[/C][/ROW]
[ROW][C]18[/C][C]0.133995[/C][C]1.137[/C][C]0.129658[/C][/ROW]
[ROW][C]19[/C][C]-0.021964[/C][C]-0.1864[/C][C]0.426339[/C][/ROW]
[ROW][C]20[/C][C]0.109872[/C][C]0.9323[/C][C]0.177149[/C][/ROW]
[ROW][C]21[/C][C]0.072618[/C][C]0.6162[/C][C]0.269859[/C][/ROW]
[ROW][C]22[/C][C]0.048368[/C][C]0.4104[/C][C]0.341359[/C][/ROW]
[ROW][C]23[/C][C]-0.124561[/C][C]-1.0569[/C][C]0.147038[/C][/ROW]
[ROW][C]24[/C][C]0.04782[/C][C]0.4058[/C][C]0.343058[/C][/ROW]
[ROW][C]25[/C][C]0.117584[/C][C]0.9977[/C][C]0.160875[/C][/ROW]
[ROW][C]26[/C][C]-0.106294[/C][C]-0.9019[/C][C]0.185049[/C][/ROW]
[ROW][C]27[/C][C]-0.10564[/C][C]-0.8964[/C][C]0.186517[/C][/ROW]
[ROW][C]28[/C][C]-0.019388[/C][C]-0.1645[/C][C]0.434895[/C][/ROW]
[ROW][C]29[/C][C]-0.055133[/C][C]-0.4678[/C][C]0.320662[/C][/ROW]
[ROW][C]30[/C][C]0.08825[/C][C]0.7488[/C][C]0.228202[/C][/ROW]
[ROW][C]31[/C][C]-0.015218[/C][C]-0.1291[/C][C]0.448806[/C][/ROW]
[ROW][C]32[/C][C]-0.139101[/C][C]-1.1803[/C][C]0.12088[/C][/ROW]
[ROW][C]33[/C][C]0.058731[/C][C]0.4983[/C][C]0.309879[/C][/ROW]
[ROW][C]34[/C][C]-0.077008[/C][C]-0.6534[/C][C]0.257778[/C][/ROW]
[ROW][C]35[/C][C]0.042024[/C][C]0.3566[/C][C]0.361224[/C][/ROW]
[ROW][C]36[/C][C]-0.071726[/C][C]-0.6086[/C][C]0.272348[/C][/ROW]
[ROW][C]37[/C][C]0.135398[/C][C]1.1489[/C][C]0.127202[/C][/ROW]
[ROW][C]38[/C][C]0.024951[/C][C]0.2117[/C][C]0.416464[/C][/ROW]
[ROW][C]39[/C][C]-0.101165[/C][C]-0.8584[/C][C]0.196757[/C][/ROW]
[ROW][C]40[/C][C]-0.096005[/C][C]-0.8146[/C][C]0.208984[/C][/ROW]
[ROW][C]41[/C][C]-0.138133[/C][C]-1.1721[/C][C]0.122511[/C][/ROW]
[ROW][C]42[/C][C]-0.021022[/C][C]-0.1784[/C][C]0.429464[/C][/ROW]
[ROW][C]43[/C][C]-0.12292[/C][C]-1.043[/C][C]0.150217[/C][/ROW]
[ROW][C]44[/C][C]-0.08693[/C][C]-0.7376[/C][C]0.231569[/C][/ROW]
[ROW][C]45[/C][C]0.038916[/C][C]0.3302[/C][C]0.371098[/C][/ROW]
[ROW][C]46[/C][C]-0.038989[/C][C]-0.3308[/C][C]0.370866[/C][/ROW]
[ROW][C]47[/C][C]0.143842[/C][C]1.2205[/C][C]0.113121[/C][/ROW]
[ROW][C]48[/C][C]0.110007[/C][C]0.9334[/C][C]0.176855[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40095&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40095&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
10.8305637.04760
20.1673051.41960.080015
30.0401610.34080.367132
40.1458571.23760.109935
50.0214250.18180.428127
6-0.126317-1.07180.143687
7-0.093442-0.79290.215225
8-0.17036-1.44560.07632
9-3.7e-05-3e-040.499875
10-0.046804-0.39710.346219
110.0387390.32870.371663
120.0029120.02470.490178
13-0.094474-0.80160.212701
14-0.061796-0.52440.30082
150.0580990.4930.31176
16-0.024553-0.20830.417778
17-0.141967-1.20460.116145
180.1339951.1370.129658
19-0.021964-0.18640.426339
200.1098720.93230.177149
210.0726180.61620.269859
220.0483680.41040.341359
23-0.124561-1.05690.147038
240.047820.40580.343058
250.1175840.99770.160875
26-0.106294-0.90190.185049
27-0.10564-0.89640.186517
28-0.019388-0.16450.434895
29-0.055133-0.46780.320662
300.088250.74880.228202
31-0.015218-0.12910.448806
32-0.139101-1.18030.12088
330.0587310.49830.309879
34-0.077008-0.65340.257778
350.0420240.35660.361224
36-0.071726-0.60860.272348
370.1353981.14890.127202
380.0249510.21170.416464
39-0.101165-0.85840.196757
40-0.096005-0.81460.208984
41-0.138133-1.17210.122511
42-0.021022-0.17840.429464
43-0.12292-1.0430.150217
44-0.08693-0.73760.231569
450.0389160.33020.371098
46-0.038989-0.33080.370866
470.1438421.22050.113121
480.1100070.93340.176855



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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')