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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 computationFri, 19 Dec 2008 02:33:45 -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/19/t1229679311xpctllh0epve6xk.htm/, Retrieved Wed, 15 May 2024 00:10:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35003, Retrieved Wed, 15 May 2024 00:10:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact238
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [tinneke_debock.pa...] [2008-12-18 18:24:23] [f9c5a49917ff87aeb076072f2749ef70]
- RMPD  [(Partial) Autocorrelation Function] [tinneke_debock.pa...] [2008-12-18 19:00:06] [f9c5a49917ff87aeb076072f2749ef70]
-   PD    [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:30:17] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-    D        [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:33:45] [e221948dd14811c7d88a6530ac2a8702] [Current]
-   PD          [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:44:19] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P             [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:47:25] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P               [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:10:57] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P             [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:08:10] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   PD          [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:04:23] [fdc296cbeb5d8064cb0dbd634c3fdc55]
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Dataseries X:
98,6
98
106,8
96,7
100,2
107,7
92
98,4
107,4
117,7
105,7
97,5
99,9
98,2
104,5
100,8
101,5
103,9
99,6
98,4
112,7
118,4
108,1
105,4
114,6
106,9
115,9
109,8
101,8
114,2
110,8
108,4
127,5
128,6
116,6
127,4
105
108,3
125
111,6
106,5
130,3
115
116,1
134
126,5
125,8
136,4
114,9
110,9
125,5
116,8
116,8
125,5
104,2
115,1
132,8
123,3
124,8
122
117,4
117,9
137,4
114,6
124,7
129,6
109,4
120,9
134,9
136,3
133,2
127,2
122,7
120,5
137,8
119,1
124,3
134,4
121,1
122,2
127,7
137,4
132,2
129,2
124,9
124,8
128,2
134,4
118,6
132,6
123,2
112,8
138,3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35003&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35003&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35003&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.5858985.65020
20.5020934.8423e-06
30.6611526.37590
40.4457774.29892.1e-05
50.4999734.82163e-06
60.6253986.03110
70.4044883.90079.1e-05
80.3854583.71720.000172
90.5203235.01781e-06
100.3529873.40410.000491
110.44174.25962.4e-05
120.622896.00690
130.3592143.46410.000403
140.2899162.79580.003144
150.3828573.69210.000187
160.1888221.82090.035917
170.245222.36480.010059
180.3322863.20440.000927
190.125661.21180.114325
200.1212691.16950.122601
210.2073081.99920.024252
220.0877680.84640.199749
230.165941.60030.056465
240.2610192.51720.006771
250.1034420.99760.160541
260.0415590.40080.344751
270.1087741.0490.148453
28-0.042784-0.41260.340426
29-0.018059-0.17420.431061
300.0798280.76980.221675
31-0.066268-0.63910.262176
32-0.072853-0.70260.24204
33-0.018279-0.17630.430229
34-0.084697-0.81680.208069
35-0.020946-0.2020.420179
360.1115741.0760.142359
37-0.040838-0.39380.347306
38-0.09789-0.9440.173804
39-0.030111-0.29040.386085
40-0.138825-1.33880.091953
41-0.137103-1.32220.094676
42-0.055787-0.5380.295933
43-0.142748-1.37660.085969
44-0.164133-1.58280.058427
45-0.124468-1.20030.116531
46-0.182275-1.75780.041036
47-0.140904-1.35880.088744
48-0.021326-0.20570.418754
49-0.152341-1.46910.072587
50-0.201731-1.94540.027372
51-0.153174-1.47720.071506
52-0.22106-2.13180.017829
53-0.204825-1.97530.025602
54-0.159505-1.53820.063696
55-0.2384-2.2990.011871
56-0.268798-2.59220.005538
57-0.212637-2.05060.02156
58-0.285448-2.75280.003553
59-0.243022-2.34360.010614
60-0.163788-1.57950.058807

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.585898 & 5.6502 & 0 \tabularnewline
2 & 0.502093 & 4.842 & 3e-06 \tabularnewline
3 & 0.661152 & 6.3759 & 0 \tabularnewline
4 & 0.445777 & 4.2989 & 2.1e-05 \tabularnewline
5 & 0.499973 & 4.8216 & 3e-06 \tabularnewline
6 & 0.625398 & 6.0311 & 0 \tabularnewline
7 & 0.404488 & 3.9007 & 9.1e-05 \tabularnewline
8 & 0.385458 & 3.7172 & 0.000172 \tabularnewline
9 & 0.520323 & 5.0178 & 1e-06 \tabularnewline
10 & 0.352987 & 3.4041 & 0.000491 \tabularnewline
11 & 0.4417 & 4.2596 & 2.4e-05 \tabularnewline
12 & 0.62289 & 6.0069 & 0 \tabularnewline
13 & 0.359214 & 3.4641 & 0.000403 \tabularnewline
14 & 0.289916 & 2.7958 & 0.003144 \tabularnewline
15 & 0.382857 & 3.6921 & 0.000187 \tabularnewline
16 & 0.188822 & 1.8209 & 0.035917 \tabularnewline
17 & 0.24522 & 2.3648 & 0.010059 \tabularnewline
18 & 0.332286 & 3.2044 & 0.000927 \tabularnewline
19 & 0.12566 & 1.2118 & 0.114325 \tabularnewline
20 & 0.121269 & 1.1695 & 0.122601 \tabularnewline
21 & 0.207308 & 1.9992 & 0.024252 \tabularnewline
22 & 0.087768 & 0.8464 & 0.199749 \tabularnewline
23 & 0.16594 & 1.6003 & 0.056465 \tabularnewline
24 & 0.261019 & 2.5172 & 0.006771 \tabularnewline
25 & 0.103442 & 0.9976 & 0.160541 \tabularnewline
26 & 0.041559 & 0.4008 & 0.344751 \tabularnewline
27 & 0.108774 & 1.049 & 0.148453 \tabularnewline
28 & -0.042784 & -0.4126 & 0.340426 \tabularnewline
29 & -0.018059 & -0.1742 & 0.431061 \tabularnewline
30 & 0.079828 & 0.7698 & 0.221675 \tabularnewline
31 & -0.066268 & -0.6391 & 0.262176 \tabularnewline
32 & -0.072853 & -0.7026 & 0.24204 \tabularnewline
33 & -0.018279 & -0.1763 & 0.430229 \tabularnewline
34 & -0.084697 & -0.8168 & 0.208069 \tabularnewline
35 & -0.020946 & -0.202 & 0.420179 \tabularnewline
36 & 0.111574 & 1.076 & 0.142359 \tabularnewline
37 & -0.040838 & -0.3938 & 0.347306 \tabularnewline
38 & -0.09789 & -0.944 & 0.173804 \tabularnewline
39 & -0.030111 & -0.2904 & 0.386085 \tabularnewline
40 & -0.138825 & -1.3388 & 0.091953 \tabularnewline
41 & -0.137103 & -1.3222 & 0.094676 \tabularnewline
42 & -0.055787 & -0.538 & 0.295933 \tabularnewline
43 & -0.142748 & -1.3766 & 0.085969 \tabularnewline
44 & -0.164133 & -1.5828 & 0.058427 \tabularnewline
45 & -0.124468 & -1.2003 & 0.116531 \tabularnewline
46 & -0.182275 & -1.7578 & 0.041036 \tabularnewline
47 & -0.140904 & -1.3588 & 0.088744 \tabularnewline
48 & -0.021326 & -0.2057 & 0.418754 \tabularnewline
49 & -0.152341 & -1.4691 & 0.072587 \tabularnewline
50 & -0.201731 & -1.9454 & 0.027372 \tabularnewline
51 & -0.153174 & -1.4772 & 0.071506 \tabularnewline
52 & -0.22106 & -2.1318 & 0.017829 \tabularnewline
53 & -0.204825 & -1.9753 & 0.025602 \tabularnewline
54 & -0.159505 & -1.5382 & 0.063696 \tabularnewline
55 & -0.2384 & -2.299 & 0.011871 \tabularnewline
56 & -0.268798 & -2.5922 & 0.005538 \tabularnewline
57 & -0.212637 & -2.0506 & 0.02156 \tabularnewline
58 & -0.285448 & -2.7528 & 0.003553 \tabularnewline
59 & -0.243022 & -2.3436 & 0.010614 \tabularnewline
60 & -0.163788 & -1.5795 & 0.058807 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35003&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]0.585898[/C][C]5.6502[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.502093[/C][C]4.842[/C][C]3e-06[/C][/ROW]
[ROW][C]3[/C][C]0.661152[/C][C]6.3759[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.445777[/C][C]4.2989[/C][C]2.1e-05[/C][/ROW]
[ROW][C]5[/C][C]0.499973[/C][C]4.8216[/C][C]3e-06[/C][/ROW]
[ROW][C]6[/C][C]0.625398[/C][C]6.0311[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.404488[/C][C]3.9007[/C][C]9.1e-05[/C][/ROW]
[ROW][C]8[/C][C]0.385458[/C][C]3.7172[/C][C]0.000172[/C][/ROW]
[ROW][C]9[/C][C]0.520323[/C][C]5.0178[/C][C]1e-06[/C][/ROW]
[ROW][C]10[/C][C]0.352987[/C][C]3.4041[/C][C]0.000491[/C][/ROW]
[ROW][C]11[/C][C]0.4417[/C][C]4.2596[/C][C]2.4e-05[/C][/ROW]
[ROW][C]12[/C][C]0.62289[/C][C]6.0069[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.359214[/C][C]3.4641[/C][C]0.000403[/C][/ROW]
[ROW][C]14[/C][C]0.289916[/C][C]2.7958[/C][C]0.003144[/C][/ROW]
[ROW][C]15[/C][C]0.382857[/C][C]3.6921[/C][C]0.000187[/C][/ROW]
[ROW][C]16[/C][C]0.188822[/C][C]1.8209[/C][C]0.035917[/C][/ROW]
[ROW][C]17[/C][C]0.24522[/C][C]2.3648[/C][C]0.010059[/C][/ROW]
[ROW][C]18[/C][C]0.332286[/C][C]3.2044[/C][C]0.000927[/C][/ROW]
[ROW][C]19[/C][C]0.12566[/C][C]1.2118[/C][C]0.114325[/C][/ROW]
[ROW][C]20[/C][C]0.121269[/C][C]1.1695[/C][C]0.122601[/C][/ROW]
[ROW][C]21[/C][C]0.207308[/C][C]1.9992[/C][C]0.024252[/C][/ROW]
[ROW][C]22[/C][C]0.087768[/C][C]0.8464[/C][C]0.199749[/C][/ROW]
[ROW][C]23[/C][C]0.16594[/C][C]1.6003[/C][C]0.056465[/C][/ROW]
[ROW][C]24[/C][C]0.261019[/C][C]2.5172[/C][C]0.006771[/C][/ROW]
[ROW][C]25[/C][C]0.103442[/C][C]0.9976[/C][C]0.160541[/C][/ROW]
[ROW][C]26[/C][C]0.041559[/C][C]0.4008[/C][C]0.344751[/C][/ROW]
[ROW][C]27[/C][C]0.108774[/C][C]1.049[/C][C]0.148453[/C][/ROW]
[ROW][C]28[/C][C]-0.042784[/C][C]-0.4126[/C][C]0.340426[/C][/ROW]
[ROW][C]29[/C][C]-0.018059[/C][C]-0.1742[/C][C]0.431061[/C][/ROW]
[ROW][C]30[/C][C]0.079828[/C][C]0.7698[/C][C]0.221675[/C][/ROW]
[ROW][C]31[/C][C]-0.066268[/C][C]-0.6391[/C][C]0.262176[/C][/ROW]
[ROW][C]32[/C][C]-0.072853[/C][C]-0.7026[/C][C]0.24204[/C][/ROW]
[ROW][C]33[/C][C]-0.018279[/C][C]-0.1763[/C][C]0.430229[/C][/ROW]
[ROW][C]34[/C][C]-0.084697[/C][C]-0.8168[/C][C]0.208069[/C][/ROW]
[ROW][C]35[/C][C]-0.020946[/C][C]-0.202[/C][C]0.420179[/C][/ROW]
[ROW][C]36[/C][C]0.111574[/C][C]1.076[/C][C]0.142359[/C][/ROW]
[ROW][C]37[/C][C]-0.040838[/C][C]-0.3938[/C][C]0.347306[/C][/ROW]
[ROW][C]38[/C][C]-0.09789[/C][C]-0.944[/C][C]0.173804[/C][/ROW]
[ROW][C]39[/C][C]-0.030111[/C][C]-0.2904[/C][C]0.386085[/C][/ROW]
[ROW][C]40[/C][C]-0.138825[/C][C]-1.3388[/C][C]0.091953[/C][/ROW]
[ROW][C]41[/C][C]-0.137103[/C][C]-1.3222[/C][C]0.094676[/C][/ROW]
[ROW][C]42[/C][C]-0.055787[/C][C]-0.538[/C][C]0.295933[/C][/ROW]
[ROW][C]43[/C][C]-0.142748[/C][C]-1.3766[/C][C]0.085969[/C][/ROW]
[ROW][C]44[/C][C]-0.164133[/C][C]-1.5828[/C][C]0.058427[/C][/ROW]
[ROW][C]45[/C][C]-0.124468[/C][C]-1.2003[/C][C]0.116531[/C][/ROW]
[ROW][C]46[/C][C]-0.182275[/C][C]-1.7578[/C][C]0.041036[/C][/ROW]
[ROW][C]47[/C][C]-0.140904[/C][C]-1.3588[/C][C]0.088744[/C][/ROW]
[ROW][C]48[/C][C]-0.021326[/C][C]-0.2057[/C][C]0.418754[/C][/ROW]
[ROW][C]49[/C][C]-0.152341[/C][C]-1.4691[/C][C]0.072587[/C][/ROW]
[ROW][C]50[/C][C]-0.201731[/C][C]-1.9454[/C][C]0.027372[/C][/ROW]
[ROW][C]51[/C][C]-0.153174[/C][C]-1.4772[/C][C]0.071506[/C][/ROW]
[ROW][C]52[/C][C]-0.22106[/C][C]-2.1318[/C][C]0.017829[/C][/ROW]
[ROW][C]53[/C][C]-0.204825[/C][C]-1.9753[/C][C]0.025602[/C][/ROW]
[ROW][C]54[/C][C]-0.159505[/C][C]-1.5382[/C][C]0.063696[/C][/ROW]
[ROW][C]55[/C][C]-0.2384[/C][C]-2.299[/C][C]0.011871[/C][/ROW]
[ROW][C]56[/C][C]-0.268798[/C][C]-2.5922[/C][C]0.005538[/C][/ROW]
[ROW][C]57[/C][C]-0.212637[/C][C]-2.0506[/C][C]0.02156[/C][/ROW]
[ROW][C]58[/C][C]-0.285448[/C][C]-2.7528[/C][C]0.003553[/C][/ROW]
[ROW][C]59[/C][C]-0.243022[/C][C]-2.3436[/C][C]0.010614[/C][/ROW]
[ROW][C]60[/C][C]-0.163788[/C][C]-1.5795[/C][C]0.058807[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35003&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35003&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
10.5858985.65020
20.5020934.8423e-06
30.6611526.37590
40.4457774.29892.1e-05
50.4999734.82163e-06
60.6253986.03110
70.4044883.90079.1e-05
80.3854583.71720.000172
90.5203235.01781e-06
100.3529873.40410.000491
110.44174.25962.4e-05
120.622896.00690
130.3592143.46410.000403
140.2899162.79580.003144
150.3828573.69210.000187
160.1888221.82090.035917
170.245222.36480.010059
180.3322863.20440.000927
190.125661.21180.114325
200.1212691.16950.122601
210.2073081.99920.024252
220.0877680.84640.199749
230.165941.60030.056465
240.2610192.51720.006771
250.1034420.99760.160541
260.0415590.40080.344751
270.1087741.0490.148453
28-0.042784-0.41260.340426
29-0.018059-0.17420.431061
300.0798280.76980.221675
31-0.066268-0.63910.262176
32-0.072853-0.70260.24204
33-0.018279-0.17630.430229
34-0.084697-0.81680.208069
35-0.020946-0.2020.420179
360.1115741.0760.142359
37-0.040838-0.39380.347306
38-0.09789-0.9440.173804
39-0.030111-0.29040.386085
40-0.138825-1.33880.091953
41-0.137103-1.32220.094676
42-0.055787-0.5380.295933
43-0.142748-1.37660.085969
44-0.164133-1.58280.058427
45-0.124468-1.20030.116531
46-0.182275-1.75780.041036
47-0.140904-1.35880.088744
48-0.021326-0.20570.418754
49-0.152341-1.46910.072587
50-0.201731-1.94540.027372
51-0.153174-1.47720.071506
52-0.22106-2.13180.017829
53-0.204825-1.97530.025602
54-0.159505-1.53820.063696
55-0.2384-2.2990.011871
56-0.268798-2.59220.005538
57-0.212637-2.05060.02156
58-0.285448-2.75280.003553
59-0.243022-2.34360.010614
60-0.163788-1.57950.058807







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5858985.65020
20.2418322.33210.010926
30.4794124.62336e-06
4-0.139948-1.34960.090208
50.2574262.48250.007419
60.1929981.86120.032937
7-0.109853-1.05940.146085
8-0.089711-0.86510.194593
90.1502351.44880.075376
10-0.066467-0.6410.261555
110.2054191.9810.025273
120.2787132.68780.004261
13-0.158831-1.53170.064494
14-0.29209-2.81680.002962
15-0.145881-1.40680.081406
16-0.182923-1.7640.040504
17-0.021017-0.20270.419914
18-0.002424-0.02340.4907
190.0601810.58040.281535
20-0.034192-0.32970.371172
210.0135430.13060.448185
220.0085870.08280.46709
230.0171430.16530.434526
24-0.022851-0.22040.413032
250.1169991.12830.131049
26-0.109406-1.05510.147063
270.0499070.48130.315723
28-0.150405-1.45050.075148
29-0.033596-0.3240.373336
30-0.017286-0.16670.433985
310.131961.27260.10317
320.0125760.12130.451864
330.0004130.0040.498416
34-0.01172-0.1130.455128
350.0191880.1850.4268
360.1345641.29770.098803
37-0.052532-0.50660.306816
38-0.085604-0.82550.205591
39-0.051095-0.49270.311679
40-0.022392-0.21590.414754
41-0.075567-0.72870.233997
42-0.086582-0.8350.202938
430.0998760.96320.168979
440.0303710.29290.385129
45-0.049905-0.48130.315729
46-0.060815-0.58650.279487
47-0.096659-0.93210.176837
48-0.031158-0.30050.382242
49-0.090876-0.87640.191543
500.0440560.42490.335958
51-0.018758-0.18090.428422
520.1041661.00450.158863
530.0392380.37840.352997
54-0.047005-0.45330.325695
55-0.088737-0.85580.197168
56-0.075676-0.72980.233675
57-0.010401-0.10030.460158
58-0.077157-0.74410.229353
590.0065220.06290.474992
60-0.001952-0.01880.492511

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.585898 & 5.6502 & 0 \tabularnewline
2 & 0.241832 & 2.3321 & 0.010926 \tabularnewline
3 & 0.479412 & 4.6233 & 6e-06 \tabularnewline
4 & -0.139948 & -1.3496 & 0.090208 \tabularnewline
5 & 0.257426 & 2.4825 & 0.007419 \tabularnewline
6 & 0.192998 & 1.8612 & 0.032937 \tabularnewline
7 & -0.109853 & -1.0594 & 0.146085 \tabularnewline
8 & -0.089711 & -0.8651 & 0.194593 \tabularnewline
9 & 0.150235 & 1.4488 & 0.075376 \tabularnewline
10 & -0.066467 & -0.641 & 0.261555 \tabularnewline
11 & 0.205419 & 1.981 & 0.025273 \tabularnewline
12 & 0.278713 & 2.6878 & 0.004261 \tabularnewline
13 & -0.158831 & -1.5317 & 0.064494 \tabularnewline
14 & -0.29209 & -2.8168 & 0.002962 \tabularnewline
15 & -0.145881 & -1.4068 & 0.081406 \tabularnewline
16 & -0.182923 & -1.764 & 0.040504 \tabularnewline
17 & -0.021017 & -0.2027 & 0.419914 \tabularnewline
18 & -0.002424 & -0.0234 & 0.4907 \tabularnewline
19 & 0.060181 & 0.5804 & 0.281535 \tabularnewline
20 & -0.034192 & -0.3297 & 0.371172 \tabularnewline
21 & 0.013543 & 0.1306 & 0.448185 \tabularnewline
22 & 0.008587 & 0.0828 & 0.46709 \tabularnewline
23 & 0.017143 & 0.1653 & 0.434526 \tabularnewline
24 & -0.022851 & -0.2204 & 0.413032 \tabularnewline
25 & 0.116999 & 1.1283 & 0.131049 \tabularnewline
26 & -0.109406 & -1.0551 & 0.147063 \tabularnewline
27 & 0.049907 & 0.4813 & 0.315723 \tabularnewline
28 & -0.150405 & -1.4505 & 0.075148 \tabularnewline
29 & -0.033596 & -0.324 & 0.373336 \tabularnewline
30 & -0.017286 & -0.1667 & 0.433985 \tabularnewline
31 & 0.13196 & 1.2726 & 0.10317 \tabularnewline
32 & 0.012576 & 0.1213 & 0.451864 \tabularnewline
33 & 0.000413 & 0.004 & 0.498416 \tabularnewline
34 & -0.01172 & -0.113 & 0.455128 \tabularnewline
35 & 0.019188 & 0.185 & 0.4268 \tabularnewline
36 & 0.134564 & 1.2977 & 0.098803 \tabularnewline
37 & -0.052532 & -0.5066 & 0.306816 \tabularnewline
38 & -0.085604 & -0.8255 & 0.205591 \tabularnewline
39 & -0.051095 & -0.4927 & 0.311679 \tabularnewline
40 & -0.022392 & -0.2159 & 0.414754 \tabularnewline
41 & -0.075567 & -0.7287 & 0.233997 \tabularnewline
42 & -0.086582 & -0.835 & 0.202938 \tabularnewline
43 & 0.099876 & 0.9632 & 0.168979 \tabularnewline
44 & 0.030371 & 0.2929 & 0.385129 \tabularnewline
45 & -0.049905 & -0.4813 & 0.315729 \tabularnewline
46 & -0.060815 & -0.5865 & 0.279487 \tabularnewline
47 & -0.096659 & -0.9321 & 0.176837 \tabularnewline
48 & -0.031158 & -0.3005 & 0.382242 \tabularnewline
49 & -0.090876 & -0.8764 & 0.191543 \tabularnewline
50 & 0.044056 & 0.4249 & 0.335958 \tabularnewline
51 & -0.018758 & -0.1809 & 0.428422 \tabularnewline
52 & 0.104166 & 1.0045 & 0.158863 \tabularnewline
53 & 0.039238 & 0.3784 & 0.352997 \tabularnewline
54 & -0.047005 & -0.4533 & 0.325695 \tabularnewline
55 & -0.088737 & -0.8558 & 0.197168 \tabularnewline
56 & -0.075676 & -0.7298 & 0.233675 \tabularnewline
57 & -0.010401 & -0.1003 & 0.460158 \tabularnewline
58 & -0.077157 & -0.7441 & 0.229353 \tabularnewline
59 & 0.006522 & 0.0629 & 0.474992 \tabularnewline
60 & -0.001952 & -0.0188 & 0.492511 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35003&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]0.585898[/C][C]5.6502[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.241832[/C][C]2.3321[/C][C]0.010926[/C][/ROW]
[ROW][C]3[/C][C]0.479412[/C][C]4.6233[/C][C]6e-06[/C][/ROW]
[ROW][C]4[/C][C]-0.139948[/C][C]-1.3496[/C][C]0.090208[/C][/ROW]
[ROW][C]5[/C][C]0.257426[/C][C]2.4825[/C][C]0.007419[/C][/ROW]
[ROW][C]6[/C][C]0.192998[/C][C]1.8612[/C][C]0.032937[/C][/ROW]
[ROW][C]7[/C][C]-0.109853[/C][C]-1.0594[/C][C]0.146085[/C][/ROW]
[ROW][C]8[/C][C]-0.089711[/C][C]-0.8651[/C][C]0.194593[/C][/ROW]
[ROW][C]9[/C][C]0.150235[/C][C]1.4488[/C][C]0.075376[/C][/ROW]
[ROW][C]10[/C][C]-0.066467[/C][C]-0.641[/C][C]0.261555[/C][/ROW]
[ROW][C]11[/C][C]0.205419[/C][C]1.981[/C][C]0.025273[/C][/ROW]
[ROW][C]12[/C][C]0.278713[/C][C]2.6878[/C][C]0.004261[/C][/ROW]
[ROW][C]13[/C][C]-0.158831[/C][C]-1.5317[/C][C]0.064494[/C][/ROW]
[ROW][C]14[/C][C]-0.29209[/C][C]-2.8168[/C][C]0.002962[/C][/ROW]
[ROW][C]15[/C][C]-0.145881[/C][C]-1.4068[/C][C]0.081406[/C][/ROW]
[ROW][C]16[/C][C]-0.182923[/C][C]-1.764[/C][C]0.040504[/C][/ROW]
[ROW][C]17[/C][C]-0.021017[/C][C]-0.2027[/C][C]0.419914[/C][/ROW]
[ROW][C]18[/C][C]-0.002424[/C][C]-0.0234[/C][C]0.4907[/C][/ROW]
[ROW][C]19[/C][C]0.060181[/C][C]0.5804[/C][C]0.281535[/C][/ROW]
[ROW][C]20[/C][C]-0.034192[/C][C]-0.3297[/C][C]0.371172[/C][/ROW]
[ROW][C]21[/C][C]0.013543[/C][C]0.1306[/C][C]0.448185[/C][/ROW]
[ROW][C]22[/C][C]0.008587[/C][C]0.0828[/C][C]0.46709[/C][/ROW]
[ROW][C]23[/C][C]0.017143[/C][C]0.1653[/C][C]0.434526[/C][/ROW]
[ROW][C]24[/C][C]-0.022851[/C][C]-0.2204[/C][C]0.413032[/C][/ROW]
[ROW][C]25[/C][C]0.116999[/C][C]1.1283[/C][C]0.131049[/C][/ROW]
[ROW][C]26[/C][C]-0.109406[/C][C]-1.0551[/C][C]0.147063[/C][/ROW]
[ROW][C]27[/C][C]0.049907[/C][C]0.4813[/C][C]0.315723[/C][/ROW]
[ROW][C]28[/C][C]-0.150405[/C][C]-1.4505[/C][C]0.075148[/C][/ROW]
[ROW][C]29[/C][C]-0.033596[/C][C]-0.324[/C][C]0.373336[/C][/ROW]
[ROW][C]30[/C][C]-0.017286[/C][C]-0.1667[/C][C]0.433985[/C][/ROW]
[ROW][C]31[/C][C]0.13196[/C][C]1.2726[/C][C]0.10317[/C][/ROW]
[ROW][C]32[/C][C]0.012576[/C][C]0.1213[/C][C]0.451864[/C][/ROW]
[ROW][C]33[/C][C]0.000413[/C][C]0.004[/C][C]0.498416[/C][/ROW]
[ROW][C]34[/C][C]-0.01172[/C][C]-0.113[/C][C]0.455128[/C][/ROW]
[ROW][C]35[/C][C]0.019188[/C][C]0.185[/C][C]0.4268[/C][/ROW]
[ROW][C]36[/C][C]0.134564[/C][C]1.2977[/C][C]0.098803[/C][/ROW]
[ROW][C]37[/C][C]-0.052532[/C][C]-0.5066[/C][C]0.306816[/C][/ROW]
[ROW][C]38[/C][C]-0.085604[/C][C]-0.8255[/C][C]0.205591[/C][/ROW]
[ROW][C]39[/C][C]-0.051095[/C][C]-0.4927[/C][C]0.311679[/C][/ROW]
[ROW][C]40[/C][C]-0.022392[/C][C]-0.2159[/C][C]0.414754[/C][/ROW]
[ROW][C]41[/C][C]-0.075567[/C][C]-0.7287[/C][C]0.233997[/C][/ROW]
[ROW][C]42[/C][C]-0.086582[/C][C]-0.835[/C][C]0.202938[/C][/ROW]
[ROW][C]43[/C][C]0.099876[/C][C]0.9632[/C][C]0.168979[/C][/ROW]
[ROW][C]44[/C][C]0.030371[/C][C]0.2929[/C][C]0.385129[/C][/ROW]
[ROW][C]45[/C][C]-0.049905[/C][C]-0.4813[/C][C]0.315729[/C][/ROW]
[ROW][C]46[/C][C]-0.060815[/C][C]-0.5865[/C][C]0.279487[/C][/ROW]
[ROW][C]47[/C][C]-0.096659[/C][C]-0.9321[/C][C]0.176837[/C][/ROW]
[ROW][C]48[/C][C]-0.031158[/C][C]-0.3005[/C][C]0.382242[/C][/ROW]
[ROW][C]49[/C][C]-0.090876[/C][C]-0.8764[/C][C]0.191543[/C][/ROW]
[ROW][C]50[/C][C]0.044056[/C][C]0.4249[/C][C]0.335958[/C][/ROW]
[ROW][C]51[/C][C]-0.018758[/C][C]-0.1809[/C][C]0.428422[/C][/ROW]
[ROW][C]52[/C][C]0.104166[/C][C]1.0045[/C][C]0.158863[/C][/ROW]
[ROW][C]53[/C][C]0.039238[/C][C]0.3784[/C][C]0.352997[/C][/ROW]
[ROW][C]54[/C][C]-0.047005[/C][C]-0.4533[/C][C]0.325695[/C][/ROW]
[ROW][C]55[/C][C]-0.088737[/C][C]-0.8558[/C][C]0.197168[/C][/ROW]
[ROW][C]56[/C][C]-0.075676[/C][C]-0.7298[/C][C]0.233675[/C][/ROW]
[ROW][C]57[/C][C]-0.010401[/C][C]-0.1003[/C][C]0.460158[/C][/ROW]
[ROW][C]58[/C][C]-0.077157[/C][C]-0.7441[/C][C]0.229353[/C][/ROW]
[ROW][C]59[/C][C]0.006522[/C][C]0.0629[/C][C]0.474992[/C][/ROW]
[ROW][C]60[/C][C]-0.001952[/C][C]-0.0188[/C][C]0.492511[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35003&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35003&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
10.5858985.65020
20.2418322.33210.010926
30.4794124.62336e-06
4-0.139948-1.34960.090208
50.2574262.48250.007419
60.1929981.86120.032937
7-0.109853-1.05940.146085
8-0.089711-0.86510.194593
90.1502351.44880.075376
10-0.066467-0.6410.261555
110.2054191.9810.025273
120.2787132.68780.004261
13-0.158831-1.53170.064494
14-0.29209-2.81680.002962
15-0.145881-1.40680.081406
16-0.182923-1.7640.040504
17-0.021017-0.20270.419914
18-0.002424-0.02340.4907
190.0601810.58040.281535
20-0.034192-0.32970.371172
210.0135430.13060.448185
220.0085870.08280.46709
230.0171430.16530.434526
24-0.022851-0.22040.413032
250.1169991.12830.131049
26-0.109406-1.05510.147063
270.0499070.48130.315723
28-0.150405-1.45050.075148
29-0.033596-0.3240.373336
30-0.017286-0.16670.433985
310.131961.27260.10317
320.0125760.12130.451864
330.0004130.0040.498416
34-0.01172-0.1130.455128
350.0191880.1850.4268
360.1345641.29770.098803
37-0.052532-0.50660.306816
38-0.085604-0.82550.205591
39-0.051095-0.49270.311679
40-0.022392-0.21590.414754
41-0.075567-0.72870.233997
42-0.086582-0.8350.202938
430.0998760.96320.168979
440.0303710.29290.385129
45-0.049905-0.48130.315729
46-0.060815-0.58650.279487
47-0.096659-0.93210.176837
48-0.031158-0.30050.382242
49-0.090876-0.87640.191543
500.0440560.42490.335958
51-0.018758-0.18090.428422
520.1041661.00450.158863
530.0392380.37840.352997
54-0.047005-0.45330.325695
55-0.088737-0.85580.197168
56-0.075676-0.72980.233675
57-0.010401-0.10030.460158
58-0.077157-0.74410.229353
590.0065220.06290.474992
60-0.001952-0.01880.492511



Parameters (Session):
par1 = 60 ; par2 = -0.1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.1 ; 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')