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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, 29 Nov 2007 04:08:41 -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/2007/Nov/29/t11963339224qeppyjrga08lns.htm/, Retrieved Fri, 03 May 2024 09:23:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7415, Retrieved Fri, 03 May 2024 09:23:48 +0000
QR Codes:

Original text written by user:Inducing Stationary in Time Series vraag 2
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-11-29 11:08:41] [0eafefa7b02d47065fceb6c46f54fbf9] [Current]
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Dataseries X:
-11,8
-11,4
-17,7
-17,3
-18,6
-17,9
-21,4
-19,4
-15,5
-7,7
-0,7
-1,6
1,4
0,7
9,5
1,4
4,1
6,6
18,4
16,9
9,2
-4,3
-5,9
-7,7
-5,4
-2,3
-4,8
2,3
-5,2
-10
-17,1
-14,4
-3,9
3,7
6,5
0,9
-4,1
-7
-12,2
-2,5
4,4
13,7
12,3
13,4
2,2
1,7
-7,2
-4,8
-2,9
-2,4
-2,5
-5,3
-7,1
-8




Summary of compuational 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 compuational 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=7415&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7415&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7415&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 compuational 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
017.28010
10.1949021.41890.08089
20.1231560.89660.186997
3-0.49259-3.58610.999634
4-0.224751-1.63620.94614
5-0.196895-1.43340.921194
60.031130.22660.41079
70.1760921.2820.102716
80.3112242.26570.013789
90.2890642.10440.020051
10-0.130671-0.95130.827114
11-0.372493-2.71180.995499
12-0.516354-3.75910.999787
13-0.104955-0.76410.775897
140.1032430.75160.227802
150.270741.9710.026977
160.1525731.11070.135845
170.0188410.13720.44571
18-0.051788-0.3770.646169
19-0.20796-1.5140.932013
20-0.184466-1.34290.907492
21-0.033903-0.24680.596997
220.0992130.72230.236648
230.2844032.07050.021647
240.1045930.76140.224882
250.1047860.76290.224466
26-0.105266-0.76630.776566
27-0.014047-0.10230.540534
28-0.145435-1.05880.852749
290.0775110.56430.287468
30-0.009671-0.07040.527931
310.1563851.13850.130016
320.0108520.0790.468664
330.0269560.19620.422584
34-0.049327-0.35910.639529
35-0.07205-0.52450.698952
36-0.031581-0.22990.590477
37-0.100385-0.73080.765943
38-0.003754-0.02730.510851
39-0.041879-0.30490.619176
400.0427750.31140.378356
41-0.024501-0.17840.570445
420.0269950.19650.422475
43-0.023372-0.17020.567231
440.0214620.15620.438218
45-0.008935-0.06510.525811
46-0.004484-0.03260.51296
470.002420.01760.493005

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.2801 & 0 \tabularnewline
1 & 0.194902 & 1.4189 & 0.08089 \tabularnewline
2 & 0.123156 & 0.8966 & 0.186997 \tabularnewline
3 & -0.49259 & -3.5861 & 0.999634 \tabularnewline
4 & -0.224751 & -1.6362 & 0.94614 \tabularnewline
5 & -0.196895 & -1.4334 & 0.921194 \tabularnewline
6 & 0.03113 & 0.2266 & 0.41079 \tabularnewline
7 & 0.176092 & 1.282 & 0.102716 \tabularnewline
8 & 0.311224 & 2.2657 & 0.013789 \tabularnewline
9 & 0.289064 & 2.1044 & 0.020051 \tabularnewline
10 & -0.130671 & -0.9513 & 0.827114 \tabularnewline
11 & -0.372493 & -2.7118 & 0.995499 \tabularnewline
12 & -0.516354 & -3.7591 & 0.999787 \tabularnewline
13 & -0.104955 & -0.7641 & 0.775897 \tabularnewline
14 & 0.103243 & 0.7516 & 0.227802 \tabularnewline
15 & 0.27074 & 1.971 & 0.026977 \tabularnewline
16 & 0.152573 & 1.1107 & 0.135845 \tabularnewline
17 & 0.018841 & 0.1372 & 0.44571 \tabularnewline
18 & -0.051788 & -0.377 & 0.646169 \tabularnewline
19 & -0.20796 & -1.514 & 0.932013 \tabularnewline
20 & -0.184466 & -1.3429 & 0.907492 \tabularnewline
21 & -0.033903 & -0.2468 & 0.596997 \tabularnewline
22 & 0.099213 & 0.7223 & 0.236648 \tabularnewline
23 & 0.284403 & 2.0705 & 0.021647 \tabularnewline
24 & 0.104593 & 0.7614 & 0.224882 \tabularnewline
25 & 0.104786 & 0.7629 & 0.224466 \tabularnewline
26 & -0.105266 & -0.7663 & 0.776566 \tabularnewline
27 & -0.014047 & -0.1023 & 0.540534 \tabularnewline
28 & -0.145435 & -1.0588 & 0.852749 \tabularnewline
29 & 0.077511 & 0.5643 & 0.287468 \tabularnewline
30 & -0.009671 & -0.0704 & 0.527931 \tabularnewline
31 & 0.156385 & 1.1385 & 0.130016 \tabularnewline
32 & 0.010852 & 0.079 & 0.468664 \tabularnewline
33 & 0.026956 & 0.1962 & 0.422584 \tabularnewline
34 & -0.049327 & -0.3591 & 0.639529 \tabularnewline
35 & -0.07205 & -0.5245 & 0.698952 \tabularnewline
36 & -0.031581 & -0.2299 & 0.590477 \tabularnewline
37 & -0.100385 & -0.7308 & 0.765943 \tabularnewline
38 & -0.003754 & -0.0273 & 0.510851 \tabularnewline
39 & -0.041879 & -0.3049 & 0.619176 \tabularnewline
40 & 0.042775 & 0.3114 & 0.378356 \tabularnewline
41 & -0.024501 & -0.1784 & 0.570445 \tabularnewline
42 & 0.026995 & 0.1965 & 0.422475 \tabularnewline
43 & -0.023372 & -0.1702 & 0.567231 \tabularnewline
44 & 0.021462 & 0.1562 & 0.438218 \tabularnewline
45 & -0.008935 & -0.0651 & 0.525811 \tabularnewline
46 & -0.004484 & -0.0326 & 0.51296 \tabularnewline
47 & 0.00242 & 0.0176 & 0.493005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7415&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]0[/C][C]1[/C][C]7.2801[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.194902[/C][C]1.4189[/C][C]0.08089[/C][/ROW]
[ROW][C]2[/C][C]0.123156[/C][C]0.8966[/C][C]0.186997[/C][/ROW]
[ROW][C]3[/C][C]-0.49259[/C][C]-3.5861[/C][C]0.999634[/C][/ROW]
[ROW][C]4[/C][C]-0.224751[/C][C]-1.6362[/C][C]0.94614[/C][/ROW]
[ROW][C]5[/C][C]-0.196895[/C][C]-1.4334[/C][C]0.921194[/C][/ROW]
[ROW][C]6[/C][C]0.03113[/C][C]0.2266[/C][C]0.41079[/C][/ROW]
[ROW][C]7[/C][C]0.176092[/C][C]1.282[/C][C]0.102716[/C][/ROW]
[ROW][C]8[/C][C]0.311224[/C][C]2.2657[/C][C]0.013789[/C][/ROW]
[ROW][C]9[/C][C]0.289064[/C][C]2.1044[/C][C]0.020051[/C][/ROW]
[ROW][C]10[/C][C]-0.130671[/C][C]-0.9513[/C][C]0.827114[/C][/ROW]
[ROW][C]11[/C][C]-0.372493[/C][C]-2.7118[/C][C]0.995499[/C][/ROW]
[ROW][C]12[/C][C]-0.516354[/C][C]-3.7591[/C][C]0.999787[/C][/ROW]
[ROW][C]13[/C][C]-0.104955[/C][C]-0.7641[/C][C]0.775897[/C][/ROW]
[ROW][C]14[/C][C]0.103243[/C][C]0.7516[/C][C]0.227802[/C][/ROW]
[ROW][C]15[/C][C]0.27074[/C][C]1.971[/C][C]0.026977[/C][/ROW]
[ROW][C]16[/C][C]0.152573[/C][C]1.1107[/C][C]0.135845[/C][/ROW]
[ROW][C]17[/C][C]0.018841[/C][C]0.1372[/C][C]0.44571[/C][/ROW]
[ROW][C]18[/C][C]-0.051788[/C][C]-0.377[/C][C]0.646169[/C][/ROW]
[ROW][C]19[/C][C]-0.20796[/C][C]-1.514[/C][C]0.932013[/C][/ROW]
[ROW][C]20[/C][C]-0.184466[/C][C]-1.3429[/C][C]0.907492[/C][/ROW]
[ROW][C]21[/C][C]-0.033903[/C][C]-0.2468[/C][C]0.596997[/C][/ROW]
[ROW][C]22[/C][C]0.099213[/C][C]0.7223[/C][C]0.236648[/C][/ROW]
[ROW][C]23[/C][C]0.284403[/C][C]2.0705[/C][C]0.021647[/C][/ROW]
[ROW][C]24[/C][C]0.104593[/C][C]0.7614[/C][C]0.224882[/C][/ROW]
[ROW][C]25[/C][C]0.104786[/C][C]0.7629[/C][C]0.224466[/C][/ROW]
[ROW][C]26[/C][C]-0.105266[/C][C]-0.7663[/C][C]0.776566[/C][/ROW]
[ROW][C]27[/C][C]-0.014047[/C][C]-0.1023[/C][C]0.540534[/C][/ROW]
[ROW][C]28[/C][C]-0.145435[/C][C]-1.0588[/C][C]0.852749[/C][/ROW]
[ROW][C]29[/C][C]0.077511[/C][C]0.5643[/C][C]0.287468[/C][/ROW]
[ROW][C]30[/C][C]-0.009671[/C][C]-0.0704[/C][C]0.527931[/C][/ROW]
[ROW][C]31[/C][C]0.156385[/C][C]1.1385[/C][C]0.130016[/C][/ROW]
[ROW][C]32[/C][C]0.010852[/C][C]0.079[/C][C]0.468664[/C][/ROW]
[ROW][C]33[/C][C]0.026956[/C][C]0.1962[/C][C]0.422584[/C][/ROW]
[ROW][C]34[/C][C]-0.049327[/C][C]-0.3591[/C][C]0.639529[/C][/ROW]
[ROW][C]35[/C][C]-0.07205[/C][C]-0.5245[/C][C]0.698952[/C][/ROW]
[ROW][C]36[/C][C]-0.031581[/C][C]-0.2299[/C][C]0.590477[/C][/ROW]
[ROW][C]37[/C][C]-0.100385[/C][C]-0.7308[/C][C]0.765943[/C][/ROW]
[ROW][C]38[/C][C]-0.003754[/C][C]-0.0273[/C][C]0.510851[/C][/ROW]
[ROW][C]39[/C][C]-0.041879[/C][C]-0.3049[/C][C]0.619176[/C][/ROW]
[ROW][C]40[/C][C]0.042775[/C][C]0.3114[/C][C]0.378356[/C][/ROW]
[ROW][C]41[/C][C]-0.024501[/C][C]-0.1784[/C][C]0.570445[/C][/ROW]
[ROW][C]42[/C][C]0.026995[/C][C]0.1965[/C][C]0.422475[/C][/ROW]
[ROW][C]43[/C][C]-0.023372[/C][C]-0.1702[/C][C]0.567231[/C][/ROW]
[ROW][C]44[/C][C]0.021462[/C][C]0.1562[/C][C]0.438218[/C][/ROW]
[ROW][C]45[/C][C]-0.008935[/C][C]-0.0651[/C][C]0.525811[/C][/ROW]
[ROW][C]46[/C][C]-0.004484[/C][C]-0.0326[/C][C]0.51296[/C][/ROW]
[ROW][C]47[/C][C]0.00242[/C][C]0.0176[/C][C]0.493005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7415&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7415&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
017.28010
10.1949021.41890.08089
20.1231560.89660.186997
3-0.49259-3.58610.999634
4-0.224751-1.63620.94614
5-0.196895-1.43340.921194
60.031130.22660.41079
70.1760921.2820.102716
80.3112242.26570.013789
90.2890642.10440.020051
10-0.130671-0.95130.827114
11-0.372493-2.71180.995499
12-0.516354-3.75910.999787
13-0.104955-0.76410.775897
140.1032430.75160.227802
150.270741.9710.026977
160.1525731.11070.135845
170.0188410.13720.44571
18-0.051788-0.3770.646169
19-0.20796-1.5140.932013
20-0.184466-1.34290.907492
21-0.033903-0.24680.596997
220.0992130.72230.236648
230.2844032.07050.021647
240.1045930.76140.224882
250.1047860.76290.224466
26-0.105266-0.76630.776566
27-0.014047-0.10230.540534
28-0.145435-1.05880.852749
290.0775110.56430.287468
30-0.009671-0.07040.527931
310.1563851.13850.130016
320.0108520.0790.468664
330.0269560.19620.422584
34-0.049327-0.35910.639529
35-0.07205-0.52450.698952
36-0.031581-0.22990.590477
37-0.100385-0.73080.765943
38-0.003754-0.02730.510851
39-0.041879-0.30490.619176
400.0427750.31140.378356
41-0.024501-0.17840.570445
420.0269950.19650.422475
43-0.023372-0.17020.567231
440.0214620.15620.438218
45-0.008935-0.06510.525811
46-0.004484-0.03260.51296
470.002420.01760.493005







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.1949021.41890.08089
10.0885320.64450.261008
2-0.557085-4.05560.999918
3-0.041722-0.30370.618743
40.0314680.22910.40984
5-0.23415-1.70460.952941
60.148541.08140.142211
70.2942832.14240.018386
80.0829930.60420.274145
9-0.330868-2.40880.990242
10-0.220791-1.60740.943044
11-0.148357-1.08010.857496
12-0.019062-0.13880.554924
13-0.025825-0.1880.574207
14-0.143953-1.0480.850302
15-0.071028-0.51710.696379
16-0.158187-1.15160.872676
17-0.013028-0.09480.537601
180.0378230.27540.392057
19-0.019622-0.14290.556526
200.1525241.11040.135922
21-0.262731-1.91270.969403
22-0.100017-0.72810.765133
230.0096930.07060.472004
240.135610.98730.164002
250.0875490.63740.263316
26-0.004721-0.03440.513645
27-0.150684-1.0970.861199
280.0548540.39930.345622
29-0.011893-0.08660.534336
300.0076210.05550.477981
310.1090040.79360.215496
320.04640.33780.368425
33-0.110992-0.8080.788658
34-0.076284-0.55540.709507
350.0814280.59280.277917
360.0776880.56560.287033
37-0.016761-0.1220.548328
38-0.077409-0.56350.712279
39-0.083023-0.60440.725926
40-0.057874-0.42130.662392
410.061670.4490.327644
420.1049630.76410.224086
430.0191580.13950.444804
440.0604190.43990.330915
45-0.034073-0.24810.597476
46-0.106438-0.77490.779072
470.0184030.1340.446966

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.194902 & 1.4189 & 0.08089 \tabularnewline
1 & 0.088532 & 0.6445 & 0.261008 \tabularnewline
2 & -0.557085 & -4.0556 & 0.999918 \tabularnewline
3 & -0.041722 & -0.3037 & 0.618743 \tabularnewline
4 & 0.031468 & 0.2291 & 0.40984 \tabularnewline
5 & -0.23415 & -1.7046 & 0.952941 \tabularnewline
6 & 0.14854 & 1.0814 & 0.142211 \tabularnewline
7 & 0.294283 & 2.1424 & 0.018386 \tabularnewline
8 & 0.082993 & 0.6042 & 0.274145 \tabularnewline
9 & -0.330868 & -2.4088 & 0.990242 \tabularnewline
10 & -0.220791 & -1.6074 & 0.943044 \tabularnewline
11 & -0.148357 & -1.0801 & 0.857496 \tabularnewline
12 & -0.019062 & -0.1388 & 0.554924 \tabularnewline
13 & -0.025825 & -0.188 & 0.574207 \tabularnewline
14 & -0.143953 & -1.048 & 0.850302 \tabularnewline
15 & -0.071028 & -0.5171 & 0.696379 \tabularnewline
16 & -0.158187 & -1.1516 & 0.872676 \tabularnewline
17 & -0.013028 & -0.0948 & 0.537601 \tabularnewline
18 & 0.037823 & 0.2754 & 0.392057 \tabularnewline
19 & -0.019622 & -0.1429 & 0.556526 \tabularnewline
20 & 0.152524 & 1.1104 & 0.135922 \tabularnewline
21 & -0.262731 & -1.9127 & 0.969403 \tabularnewline
22 & -0.100017 & -0.7281 & 0.765133 \tabularnewline
23 & 0.009693 & 0.0706 & 0.472004 \tabularnewline
24 & 0.13561 & 0.9873 & 0.164002 \tabularnewline
25 & 0.087549 & 0.6374 & 0.263316 \tabularnewline
26 & -0.004721 & -0.0344 & 0.513645 \tabularnewline
27 & -0.150684 & -1.097 & 0.861199 \tabularnewline
28 & 0.054854 & 0.3993 & 0.345622 \tabularnewline
29 & -0.011893 & -0.0866 & 0.534336 \tabularnewline
30 & 0.007621 & 0.0555 & 0.477981 \tabularnewline
31 & 0.109004 & 0.7936 & 0.215496 \tabularnewline
32 & 0.0464 & 0.3378 & 0.368425 \tabularnewline
33 & -0.110992 & -0.808 & 0.788658 \tabularnewline
34 & -0.076284 & -0.5554 & 0.709507 \tabularnewline
35 & 0.081428 & 0.5928 & 0.277917 \tabularnewline
36 & 0.077688 & 0.5656 & 0.287033 \tabularnewline
37 & -0.016761 & -0.122 & 0.548328 \tabularnewline
38 & -0.077409 & -0.5635 & 0.712279 \tabularnewline
39 & -0.083023 & -0.6044 & 0.725926 \tabularnewline
40 & -0.057874 & -0.4213 & 0.662392 \tabularnewline
41 & 0.06167 & 0.449 & 0.327644 \tabularnewline
42 & 0.104963 & 0.7641 & 0.224086 \tabularnewline
43 & 0.019158 & 0.1395 & 0.444804 \tabularnewline
44 & 0.060419 & 0.4399 & 0.330915 \tabularnewline
45 & -0.034073 & -0.2481 & 0.597476 \tabularnewline
46 & -0.106438 & -0.7749 & 0.779072 \tabularnewline
47 & 0.018403 & 0.134 & 0.446966 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7415&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]0[/C][C]0.194902[/C][C]1.4189[/C][C]0.08089[/C][/ROW]
[ROW][C]1[/C][C]0.088532[/C][C]0.6445[/C][C]0.261008[/C][/ROW]
[ROW][C]2[/C][C]-0.557085[/C][C]-4.0556[/C][C]0.999918[/C][/ROW]
[ROW][C]3[/C][C]-0.041722[/C][C]-0.3037[/C][C]0.618743[/C][/ROW]
[ROW][C]4[/C][C]0.031468[/C][C]0.2291[/C][C]0.40984[/C][/ROW]
[ROW][C]5[/C][C]-0.23415[/C][C]-1.7046[/C][C]0.952941[/C][/ROW]
[ROW][C]6[/C][C]0.14854[/C][C]1.0814[/C][C]0.142211[/C][/ROW]
[ROW][C]7[/C][C]0.294283[/C][C]2.1424[/C][C]0.018386[/C][/ROW]
[ROW][C]8[/C][C]0.082993[/C][C]0.6042[/C][C]0.274145[/C][/ROW]
[ROW][C]9[/C][C]-0.330868[/C][C]-2.4088[/C][C]0.990242[/C][/ROW]
[ROW][C]10[/C][C]-0.220791[/C][C]-1.6074[/C][C]0.943044[/C][/ROW]
[ROW][C]11[/C][C]-0.148357[/C][C]-1.0801[/C][C]0.857496[/C][/ROW]
[ROW][C]12[/C][C]-0.019062[/C][C]-0.1388[/C][C]0.554924[/C][/ROW]
[ROW][C]13[/C][C]-0.025825[/C][C]-0.188[/C][C]0.574207[/C][/ROW]
[ROW][C]14[/C][C]-0.143953[/C][C]-1.048[/C][C]0.850302[/C][/ROW]
[ROW][C]15[/C][C]-0.071028[/C][C]-0.5171[/C][C]0.696379[/C][/ROW]
[ROW][C]16[/C][C]-0.158187[/C][C]-1.1516[/C][C]0.872676[/C][/ROW]
[ROW][C]17[/C][C]-0.013028[/C][C]-0.0948[/C][C]0.537601[/C][/ROW]
[ROW][C]18[/C][C]0.037823[/C][C]0.2754[/C][C]0.392057[/C][/ROW]
[ROW][C]19[/C][C]-0.019622[/C][C]-0.1429[/C][C]0.556526[/C][/ROW]
[ROW][C]20[/C][C]0.152524[/C][C]1.1104[/C][C]0.135922[/C][/ROW]
[ROW][C]21[/C][C]-0.262731[/C][C]-1.9127[/C][C]0.969403[/C][/ROW]
[ROW][C]22[/C][C]-0.100017[/C][C]-0.7281[/C][C]0.765133[/C][/ROW]
[ROW][C]23[/C][C]0.009693[/C][C]0.0706[/C][C]0.472004[/C][/ROW]
[ROW][C]24[/C][C]0.13561[/C][C]0.9873[/C][C]0.164002[/C][/ROW]
[ROW][C]25[/C][C]0.087549[/C][C]0.6374[/C][C]0.263316[/C][/ROW]
[ROW][C]26[/C][C]-0.004721[/C][C]-0.0344[/C][C]0.513645[/C][/ROW]
[ROW][C]27[/C][C]-0.150684[/C][C]-1.097[/C][C]0.861199[/C][/ROW]
[ROW][C]28[/C][C]0.054854[/C][C]0.3993[/C][C]0.345622[/C][/ROW]
[ROW][C]29[/C][C]-0.011893[/C][C]-0.0866[/C][C]0.534336[/C][/ROW]
[ROW][C]30[/C][C]0.007621[/C][C]0.0555[/C][C]0.477981[/C][/ROW]
[ROW][C]31[/C][C]0.109004[/C][C]0.7936[/C][C]0.215496[/C][/ROW]
[ROW][C]32[/C][C]0.0464[/C][C]0.3378[/C][C]0.368425[/C][/ROW]
[ROW][C]33[/C][C]-0.110992[/C][C]-0.808[/C][C]0.788658[/C][/ROW]
[ROW][C]34[/C][C]-0.076284[/C][C]-0.5554[/C][C]0.709507[/C][/ROW]
[ROW][C]35[/C][C]0.081428[/C][C]0.5928[/C][C]0.277917[/C][/ROW]
[ROW][C]36[/C][C]0.077688[/C][C]0.5656[/C][C]0.287033[/C][/ROW]
[ROW][C]37[/C][C]-0.016761[/C][C]-0.122[/C][C]0.548328[/C][/ROW]
[ROW][C]38[/C][C]-0.077409[/C][C]-0.5635[/C][C]0.712279[/C][/ROW]
[ROW][C]39[/C][C]-0.083023[/C][C]-0.6044[/C][C]0.725926[/C][/ROW]
[ROW][C]40[/C][C]-0.057874[/C][C]-0.4213[/C][C]0.662392[/C][/ROW]
[ROW][C]41[/C][C]0.06167[/C][C]0.449[/C][C]0.327644[/C][/ROW]
[ROW][C]42[/C][C]0.104963[/C][C]0.7641[/C][C]0.224086[/C][/ROW]
[ROW][C]43[/C][C]0.019158[/C][C]0.1395[/C][C]0.444804[/C][/ROW]
[ROW][C]44[/C][C]0.060419[/C][C]0.4399[/C][C]0.330915[/C][/ROW]
[ROW][C]45[/C][C]-0.034073[/C][C]-0.2481[/C][C]0.597476[/C][/ROW]
[ROW][C]46[/C][C]-0.106438[/C][C]-0.7749[/C][C]0.779072[/C][/ROW]
[ROW][C]47[/C][C]0.018403[/C][C]0.134[/C][C]0.446966[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7415&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7415&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
00.1949021.41890.08089
10.0885320.64450.261008
2-0.557085-4.05560.999918
3-0.041722-0.30370.618743
40.0314680.22910.40984
5-0.23415-1.70460.952941
60.148541.08140.142211
70.2942832.14240.018386
80.0829930.60420.274145
9-0.330868-2.40880.990242
10-0.220791-1.60740.943044
11-0.148357-1.08010.857496
12-0.019062-0.13880.554924
13-0.025825-0.1880.574207
14-0.143953-1.0480.850302
15-0.071028-0.51710.696379
16-0.158187-1.15160.872676
17-0.013028-0.09480.537601
180.0378230.27540.392057
19-0.019622-0.14290.556526
200.1525241.11040.135922
21-0.262731-1.91270.969403
22-0.100017-0.72810.765133
230.0096930.07060.472004
240.135610.98730.164002
250.0875490.63740.263316
26-0.004721-0.03440.513645
27-0.150684-1.0970.861199
280.0548540.39930.345622
29-0.011893-0.08660.534336
300.0076210.05550.477981
310.1090040.79360.215496
320.04640.33780.368425
33-0.110992-0.8080.788658
34-0.076284-0.55540.709507
350.0814280.59280.277917
360.0776880.56560.287033
37-0.016761-0.1220.548328
38-0.077409-0.56350.712279
39-0.083023-0.60440.725926
40-0.057874-0.42130.662392
410.061670.4490.327644
420.1049630.76410.224086
430.0191580.13950.444804
440.0604190.43990.330915
45-0.034073-0.24810.597476
46-0.106438-0.77490.779072
470.0184030.1340.446966



Parameters (Session):
par1 = 1 ;
Parameters (R input):
par1 = 48 ; par2 = 1.0 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')