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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 28 Nov 2007 11:29:01 -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/28/t1196273973clok2u8gnspn780.htm/, Retrieved Thu, 02 May 2024 06:27:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7200, Retrieved Thu, 02 May 2024 06:27:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ2 reeks 4
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 3, Q2] [2007-11-28 18:29:01] [416884147cddda4911f05e55b43ccb0c] [Current]
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Dataseries X:
99,4
102,7
109,3
93,9
95,3
101,8
85,6
81,1
109,5
104,0
94,5
79,0
92,8
95,6
101,7
90,8
89,5
91,8
83,8
77,4
112,7
98,8
85,7
72,8
96,9
95,0
94,2
87,3
80,6
87,9
79,6
71,9
94,6
91,4
86,6
68,5
90,1
91,6
95,4
85,4
81,6
88,9
84,1
74,7
97,1
95,3
85,1
67,3
80,6
87,9
89,2
81,3
79,7
83,7
82,1
69,3
91,2
85,7
85,2
70,0
85,8
91,4
97,5
87,1
85,1
94,1
85,8
74,7
99,9
90,7
86,8
74,8
91,8
97,6
100,8
85,4
84,0
90,6
80,5
73,9
93,6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7200&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]2 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=7200&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7200&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
018.30660
10.6197995.14841e-06
20.4711973.91410.000105
30.4291873.56510.000333
40.4528933.7620.000175
50.3438352.85610.002831
60.2032741.68850.047913
70.1299941.07980.141993
8-0.011284-0.09370.537203
90.1077220.89480.187
10-0.00195-0.01620.50644
11-0.074133-0.61580.729972
12-0.233684-1.94110.971836
13-0.133712-1.11070.864723
14-0.075873-0.63020.734692
15-0.076823-0.63810.737253
16-0.021156-0.17570.569493
17-0.05723-0.47540.681994
180.0830620.690.246266
190.087740.72880.234287
200.1531761.27240.103755
210.1168490.97060.167563
220.1210431.00550.159094
230.1091520.90670.183865
240.0970540.80620.21145
250.1285831.06810.144601
260.0166040.13790.445351
270.0467410.38830.34951
28-0.043437-0.36080.640329
29-0.021829-0.18130.571679
30-0.082134-0.68230.751319
31-0.07012-0.58250.718923
32-0.138663-1.15180.873315
33-0.190857-1.58540.941273
34-0.073208-0.60810.727445
35-0.128556-1.06790.855348
36-0.17235-1.43160.92162
37-0.205031-1.70310.953476
38-0.120138-0.99790.839102
39-0.144891-1.20360.883562
40-0.139112-1.15560.874075
41-0.133283-1.10710.863959
42-0.134618-1.11820.866325
43-0.09828-0.81640.791452
44-0.076894-0.63870.737444
45-0.098645-0.81940.792312
46-0.166045-1.37930.913867
47-0.12481-1.03670.848263

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 8.3066 & 0 \tabularnewline
1 & 0.619799 & 5.1484 & 1e-06 \tabularnewline
2 & 0.471197 & 3.9141 & 0.000105 \tabularnewline
3 & 0.429187 & 3.5651 & 0.000333 \tabularnewline
4 & 0.452893 & 3.762 & 0.000175 \tabularnewline
5 & 0.343835 & 2.8561 & 0.002831 \tabularnewline
6 & 0.203274 & 1.6885 & 0.047913 \tabularnewline
7 & 0.129994 & 1.0798 & 0.141993 \tabularnewline
8 & -0.011284 & -0.0937 & 0.537203 \tabularnewline
9 & 0.107722 & 0.8948 & 0.187 \tabularnewline
10 & -0.00195 & -0.0162 & 0.50644 \tabularnewline
11 & -0.074133 & -0.6158 & 0.729972 \tabularnewline
12 & -0.233684 & -1.9411 & 0.971836 \tabularnewline
13 & -0.133712 & -1.1107 & 0.864723 \tabularnewline
14 & -0.075873 & -0.6302 & 0.734692 \tabularnewline
15 & -0.076823 & -0.6381 & 0.737253 \tabularnewline
16 & -0.021156 & -0.1757 & 0.569493 \tabularnewline
17 & -0.05723 & -0.4754 & 0.681994 \tabularnewline
18 & 0.083062 & 0.69 & 0.246266 \tabularnewline
19 & 0.08774 & 0.7288 & 0.234287 \tabularnewline
20 & 0.153176 & 1.2724 & 0.103755 \tabularnewline
21 & 0.116849 & 0.9706 & 0.167563 \tabularnewline
22 & 0.121043 & 1.0055 & 0.159094 \tabularnewline
23 & 0.109152 & 0.9067 & 0.183865 \tabularnewline
24 & 0.097054 & 0.8062 & 0.21145 \tabularnewline
25 & 0.128583 & 1.0681 & 0.144601 \tabularnewline
26 & 0.016604 & 0.1379 & 0.445351 \tabularnewline
27 & 0.046741 & 0.3883 & 0.34951 \tabularnewline
28 & -0.043437 & -0.3608 & 0.640329 \tabularnewline
29 & -0.021829 & -0.1813 & 0.571679 \tabularnewline
30 & -0.082134 & -0.6823 & 0.751319 \tabularnewline
31 & -0.07012 & -0.5825 & 0.718923 \tabularnewline
32 & -0.138663 & -1.1518 & 0.873315 \tabularnewline
33 & -0.190857 & -1.5854 & 0.941273 \tabularnewline
34 & -0.073208 & -0.6081 & 0.727445 \tabularnewline
35 & -0.128556 & -1.0679 & 0.855348 \tabularnewline
36 & -0.17235 & -1.4316 & 0.92162 \tabularnewline
37 & -0.205031 & -1.7031 & 0.953476 \tabularnewline
38 & -0.120138 & -0.9979 & 0.839102 \tabularnewline
39 & -0.144891 & -1.2036 & 0.883562 \tabularnewline
40 & -0.139112 & -1.1556 & 0.874075 \tabularnewline
41 & -0.133283 & -1.1071 & 0.863959 \tabularnewline
42 & -0.134618 & -1.1182 & 0.866325 \tabularnewline
43 & -0.09828 & -0.8164 & 0.791452 \tabularnewline
44 & -0.076894 & -0.6387 & 0.737444 \tabularnewline
45 & -0.098645 & -0.8194 & 0.792312 \tabularnewline
46 & -0.166045 & -1.3793 & 0.913867 \tabularnewline
47 & -0.12481 & -1.0367 & 0.848263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7200&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]8.3066[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.619799[/C][C]5.1484[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]0.471197[/C][C]3.9141[/C][C]0.000105[/C][/ROW]
[ROW][C]3[/C][C]0.429187[/C][C]3.5651[/C][C]0.000333[/C][/ROW]
[ROW][C]4[/C][C]0.452893[/C][C]3.762[/C][C]0.000175[/C][/ROW]
[ROW][C]5[/C][C]0.343835[/C][C]2.8561[/C][C]0.002831[/C][/ROW]
[ROW][C]6[/C][C]0.203274[/C][C]1.6885[/C][C]0.047913[/C][/ROW]
[ROW][C]7[/C][C]0.129994[/C][C]1.0798[/C][C]0.141993[/C][/ROW]
[ROW][C]8[/C][C]-0.011284[/C][C]-0.0937[/C][C]0.537203[/C][/ROW]
[ROW][C]9[/C][C]0.107722[/C][C]0.8948[/C][C]0.187[/C][/ROW]
[ROW][C]10[/C][C]-0.00195[/C][C]-0.0162[/C][C]0.50644[/C][/ROW]
[ROW][C]11[/C][C]-0.074133[/C][C]-0.6158[/C][C]0.729972[/C][/ROW]
[ROW][C]12[/C][C]-0.233684[/C][C]-1.9411[/C][C]0.971836[/C][/ROW]
[ROW][C]13[/C][C]-0.133712[/C][C]-1.1107[/C][C]0.864723[/C][/ROW]
[ROW][C]14[/C][C]-0.075873[/C][C]-0.6302[/C][C]0.734692[/C][/ROW]
[ROW][C]15[/C][C]-0.076823[/C][C]-0.6381[/C][C]0.737253[/C][/ROW]
[ROW][C]16[/C][C]-0.021156[/C][C]-0.1757[/C][C]0.569493[/C][/ROW]
[ROW][C]17[/C][C]-0.05723[/C][C]-0.4754[/C][C]0.681994[/C][/ROW]
[ROW][C]18[/C][C]0.083062[/C][C]0.69[/C][C]0.246266[/C][/ROW]
[ROW][C]19[/C][C]0.08774[/C][C]0.7288[/C][C]0.234287[/C][/ROW]
[ROW][C]20[/C][C]0.153176[/C][C]1.2724[/C][C]0.103755[/C][/ROW]
[ROW][C]21[/C][C]0.116849[/C][C]0.9706[/C][C]0.167563[/C][/ROW]
[ROW][C]22[/C][C]0.121043[/C][C]1.0055[/C][C]0.159094[/C][/ROW]
[ROW][C]23[/C][C]0.109152[/C][C]0.9067[/C][C]0.183865[/C][/ROW]
[ROW][C]24[/C][C]0.097054[/C][C]0.8062[/C][C]0.21145[/C][/ROW]
[ROW][C]25[/C][C]0.128583[/C][C]1.0681[/C][C]0.144601[/C][/ROW]
[ROW][C]26[/C][C]0.016604[/C][C]0.1379[/C][C]0.445351[/C][/ROW]
[ROW][C]27[/C][C]0.046741[/C][C]0.3883[/C][C]0.34951[/C][/ROW]
[ROW][C]28[/C][C]-0.043437[/C][C]-0.3608[/C][C]0.640329[/C][/ROW]
[ROW][C]29[/C][C]-0.021829[/C][C]-0.1813[/C][C]0.571679[/C][/ROW]
[ROW][C]30[/C][C]-0.082134[/C][C]-0.6823[/C][C]0.751319[/C][/ROW]
[ROW][C]31[/C][C]-0.07012[/C][C]-0.5825[/C][C]0.718923[/C][/ROW]
[ROW][C]32[/C][C]-0.138663[/C][C]-1.1518[/C][C]0.873315[/C][/ROW]
[ROW][C]33[/C][C]-0.190857[/C][C]-1.5854[/C][C]0.941273[/C][/ROW]
[ROW][C]34[/C][C]-0.073208[/C][C]-0.6081[/C][C]0.727445[/C][/ROW]
[ROW][C]35[/C][C]-0.128556[/C][C]-1.0679[/C][C]0.855348[/C][/ROW]
[ROW][C]36[/C][C]-0.17235[/C][C]-1.4316[/C][C]0.92162[/C][/ROW]
[ROW][C]37[/C][C]-0.205031[/C][C]-1.7031[/C][C]0.953476[/C][/ROW]
[ROW][C]38[/C][C]-0.120138[/C][C]-0.9979[/C][C]0.839102[/C][/ROW]
[ROW][C]39[/C][C]-0.144891[/C][C]-1.2036[/C][C]0.883562[/C][/ROW]
[ROW][C]40[/C][C]-0.139112[/C][C]-1.1556[/C][C]0.874075[/C][/ROW]
[ROW][C]41[/C][C]-0.133283[/C][C]-1.1071[/C][C]0.863959[/C][/ROW]
[ROW][C]42[/C][C]-0.134618[/C][C]-1.1182[/C][C]0.866325[/C][/ROW]
[ROW][C]43[/C][C]-0.09828[/C][C]-0.8164[/C][C]0.791452[/C][/ROW]
[ROW][C]44[/C][C]-0.076894[/C][C]-0.6387[/C][C]0.737444[/C][/ROW]
[ROW][C]45[/C][C]-0.098645[/C][C]-0.8194[/C][C]0.792312[/C][/ROW]
[ROW][C]46[/C][C]-0.166045[/C][C]-1.3793[/C][C]0.913867[/C][/ROW]
[ROW][C]47[/C][C]-0.12481[/C][C]-1.0367[/C][C]0.848263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7200&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7200&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
018.30660
10.6197995.14841e-06
20.4711973.91410.000105
30.4291873.56510.000333
40.4528933.7620.000175
50.3438352.85610.002831
60.2032741.68850.047913
70.1299941.07980.141993
8-0.011284-0.09370.537203
90.1077220.89480.187
10-0.00195-0.01620.50644
11-0.074133-0.61580.729972
12-0.233684-1.94110.971836
13-0.133712-1.11070.864723
14-0.075873-0.63020.734692
15-0.076823-0.63810.737253
16-0.021156-0.17570.569493
17-0.05723-0.47540.681994
180.0830620.690.246266
190.087740.72880.234287
200.1531761.27240.103755
210.1168490.97060.167563
220.1210431.00550.159094
230.1091520.90670.183865
240.0970540.80620.21145
250.1285831.06810.144601
260.0166040.13790.445351
270.0467410.38830.34951
28-0.043437-0.36080.640329
29-0.021829-0.18130.571679
30-0.082134-0.68230.751319
31-0.07012-0.58250.718923
32-0.138663-1.15180.873315
33-0.190857-1.58540.941273
34-0.073208-0.60810.727445
35-0.128556-1.06790.855348
36-0.17235-1.43160.92162
37-0.205031-1.70310.953476
38-0.120138-0.99790.839102
39-0.144891-1.20360.883562
40-0.139112-1.15560.874075
41-0.133283-1.10710.863959
42-0.134618-1.11820.866325
43-0.09828-0.81640.791452
44-0.076894-0.63870.737444
45-0.098645-0.81940.792312
46-0.166045-1.37930.913867
47-0.12481-1.03670.848263







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.6197995.14841e-06
10.1413451.17410.122196
20.1504661.24990.107786
30.1889911.56990.060509
4-0.06776-0.56290.712321
5-0.138156-1.14760.872453
6-0.072327-0.60080.725026
7-0.242069-2.01080.975871
80.2724862.26340.013378
9-0.14719-1.22270.887189
10-0.02104-0.17480.569116
11-0.226283-1.87960.967811
120.1315941.09310.139076
130.0583530.48470.314707
140.1183290.98290.164542
150.1432991.19030.118998
16-0.010599-0.0880.534951
170.0946730.78640.217158
18-0.041717-0.34650.635001
19-0.027013-0.22440.58844
200.0966670.8030.212374
21-0.115783-0.96180.830237
22-0.06236-0.5180.696941
23-0.093814-0.77930.78076
240.0162160.13470.446622
25-0.060004-0.49840.690116
260.0793560.65920.255986
27-0.074652-0.62010.731384
280.0413280.34330.366209
29-0.017281-0.14350.556863
300.0774110.6430.26117
31-0.121524-1.00950.841859
320.0341390.28360.388792
330.0784910.6520.258284
34-0.088207-0.73270.766889
35-0.206321-1.71380.954476
360.0371540.30860.379269
37-0.101221-0.84080.798319
380.061010.50680.306961
39-0.121093-1.00590.841005
400.054150.44980.327132
410.0263950.21930.41355
42-0.020454-0.16990.567209
430.0273730.22740.410403
44-0.11287-0.93760.824131
450.0320890.26660.395304
46-0.040861-0.33940.632336
47-0.057-0.47350.681317

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.619799 & 5.1484 & 1e-06 \tabularnewline
1 & 0.141345 & 1.1741 & 0.122196 \tabularnewline
2 & 0.150466 & 1.2499 & 0.107786 \tabularnewline
3 & 0.188991 & 1.5699 & 0.060509 \tabularnewline
4 & -0.06776 & -0.5629 & 0.712321 \tabularnewline
5 & -0.138156 & -1.1476 & 0.872453 \tabularnewline
6 & -0.072327 & -0.6008 & 0.725026 \tabularnewline
7 & -0.242069 & -2.0108 & 0.975871 \tabularnewline
8 & 0.272486 & 2.2634 & 0.013378 \tabularnewline
9 & -0.14719 & -1.2227 & 0.887189 \tabularnewline
10 & -0.02104 & -0.1748 & 0.569116 \tabularnewline
11 & -0.226283 & -1.8796 & 0.967811 \tabularnewline
12 & 0.131594 & 1.0931 & 0.139076 \tabularnewline
13 & 0.058353 & 0.4847 & 0.314707 \tabularnewline
14 & 0.118329 & 0.9829 & 0.164542 \tabularnewline
15 & 0.143299 & 1.1903 & 0.118998 \tabularnewline
16 & -0.010599 & -0.088 & 0.534951 \tabularnewline
17 & 0.094673 & 0.7864 & 0.217158 \tabularnewline
18 & -0.041717 & -0.3465 & 0.635001 \tabularnewline
19 & -0.027013 & -0.2244 & 0.58844 \tabularnewline
20 & 0.096667 & 0.803 & 0.212374 \tabularnewline
21 & -0.115783 & -0.9618 & 0.830237 \tabularnewline
22 & -0.06236 & -0.518 & 0.696941 \tabularnewline
23 & -0.093814 & -0.7793 & 0.78076 \tabularnewline
24 & 0.016216 & 0.1347 & 0.446622 \tabularnewline
25 & -0.060004 & -0.4984 & 0.690116 \tabularnewline
26 & 0.079356 & 0.6592 & 0.255986 \tabularnewline
27 & -0.074652 & -0.6201 & 0.731384 \tabularnewline
28 & 0.041328 & 0.3433 & 0.366209 \tabularnewline
29 & -0.017281 & -0.1435 & 0.556863 \tabularnewline
30 & 0.077411 & 0.643 & 0.26117 \tabularnewline
31 & -0.121524 & -1.0095 & 0.841859 \tabularnewline
32 & 0.034139 & 0.2836 & 0.388792 \tabularnewline
33 & 0.078491 & 0.652 & 0.258284 \tabularnewline
34 & -0.088207 & -0.7327 & 0.766889 \tabularnewline
35 & -0.206321 & -1.7138 & 0.954476 \tabularnewline
36 & 0.037154 & 0.3086 & 0.379269 \tabularnewline
37 & -0.101221 & -0.8408 & 0.798319 \tabularnewline
38 & 0.06101 & 0.5068 & 0.306961 \tabularnewline
39 & -0.121093 & -1.0059 & 0.841005 \tabularnewline
40 & 0.05415 & 0.4498 & 0.327132 \tabularnewline
41 & 0.026395 & 0.2193 & 0.41355 \tabularnewline
42 & -0.020454 & -0.1699 & 0.567209 \tabularnewline
43 & 0.027373 & 0.2274 & 0.410403 \tabularnewline
44 & -0.11287 & -0.9376 & 0.824131 \tabularnewline
45 & 0.032089 & 0.2666 & 0.395304 \tabularnewline
46 & -0.040861 & -0.3394 & 0.632336 \tabularnewline
47 & -0.057 & -0.4735 & 0.681317 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7200&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]0.619799[/C][C]5.1484[/C][C]1e-06[/C][/ROW]
[ROW][C]1[/C][C]0.141345[/C][C]1.1741[/C][C]0.122196[/C][/ROW]
[ROW][C]2[/C][C]0.150466[/C][C]1.2499[/C][C]0.107786[/C][/ROW]
[ROW][C]3[/C][C]0.188991[/C][C]1.5699[/C][C]0.060509[/C][/ROW]
[ROW][C]4[/C][C]-0.06776[/C][C]-0.5629[/C][C]0.712321[/C][/ROW]
[ROW][C]5[/C][C]-0.138156[/C][C]-1.1476[/C][C]0.872453[/C][/ROW]
[ROW][C]6[/C][C]-0.072327[/C][C]-0.6008[/C][C]0.725026[/C][/ROW]
[ROW][C]7[/C][C]-0.242069[/C][C]-2.0108[/C][C]0.975871[/C][/ROW]
[ROW][C]8[/C][C]0.272486[/C][C]2.2634[/C][C]0.013378[/C][/ROW]
[ROW][C]9[/C][C]-0.14719[/C][C]-1.2227[/C][C]0.887189[/C][/ROW]
[ROW][C]10[/C][C]-0.02104[/C][C]-0.1748[/C][C]0.569116[/C][/ROW]
[ROW][C]11[/C][C]-0.226283[/C][C]-1.8796[/C][C]0.967811[/C][/ROW]
[ROW][C]12[/C][C]0.131594[/C][C]1.0931[/C][C]0.139076[/C][/ROW]
[ROW][C]13[/C][C]0.058353[/C][C]0.4847[/C][C]0.314707[/C][/ROW]
[ROW][C]14[/C][C]0.118329[/C][C]0.9829[/C][C]0.164542[/C][/ROW]
[ROW][C]15[/C][C]0.143299[/C][C]1.1903[/C][C]0.118998[/C][/ROW]
[ROW][C]16[/C][C]-0.010599[/C][C]-0.088[/C][C]0.534951[/C][/ROW]
[ROW][C]17[/C][C]0.094673[/C][C]0.7864[/C][C]0.217158[/C][/ROW]
[ROW][C]18[/C][C]-0.041717[/C][C]-0.3465[/C][C]0.635001[/C][/ROW]
[ROW][C]19[/C][C]-0.027013[/C][C]-0.2244[/C][C]0.58844[/C][/ROW]
[ROW][C]20[/C][C]0.096667[/C][C]0.803[/C][C]0.212374[/C][/ROW]
[ROW][C]21[/C][C]-0.115783[/C][C]-0.9618[/C][C]0.830237[/C][/ROW]
[ROW][C]22[/C][C]-0.06236[/C][C]-0.518[/C][C]0.696941[/C][/ROW]
[ROW][C]23[/C][C]-0.093814[/C][C]-0.7793[/C][C]0.78076[/C][/ROW]
[ROW][C]24[/C][C]0.016216[/C][C]0.1347[/C][C]0.446622[/C][/ROW]
[ROW][C]25[/C][C]-0.060004[/C][C]-0.4984[/C][C]0.690116[/C][/ROW]
[ROW][C]26[/C][C]0.079356[/C][C]0.6592[/C][C]0.255986[/C][/ROW]
[ROW][C]27[/C][C]-0.074652[/C][C]-0.6201[/C][C]0.731384[/C][/ROW]
[ROW][C]28[/C][C]0.041328[/C][C]0.3433[/C][C]0.366209[/C][/ROW]
[ROW][C]29[/C][C]-0.017281[/C][C]-0.1435[/C][C]0.556863[/C][/ROW]
[ROW][C]30[/C][C]0.077411[/C][C]0.643[/C][C]0.26117[/C][/ROW]
[ROW][C]31[/C][C]-0.121524[/C][C]-1.0095[/C][C]0.841859[/C][/ROW]
[ROW][C]32[/C][C]0.034139[/C][C]0.2836[/C][C]0.388792[/C][/ROW]
[ROW][C]33[/C][C]0.078491[/C][C]0.652[/C][C]0.258284[/C][/ROW]
[ROW][C]34[/C][C]-0.088207[/C][C]-0.7327[/C][C]0.766889[/C][/ROW]
[ROW][C]35[/C][C]-0.206321[/C][C]-1.7138[/C][C]0.954476[/C][/ROW]
[ROW][C]36[/C][C]0.037154[/C][C]0.3086[/C][C]0.379269[/C][/ROW]
[ROW][C]37[/C][C]-0.101221[/C][C]-0.8408[/C][C]0.798319[/C][/ROW]
[ROW][C]38[/C][C]0.06101[/C][C]0.5068[/C][C]0.306961[/C][/ROW]
[ROW][C]39[/C][C]-0.121093[/C][C]-1.0059[/C][C]0.841005[/C][/ROW]
[ROW][C]40[/C][C]0.05415[/C][C]0.4498[/C][C]0.327132[/C][/ROW]
[ROW][C]41[/C][C]0.026395[/C][C]0.2193[/C][C]0.41355[/C][/ROW]
[ROW][C]42[/C][C]-0.020454[/C][C]-0.1699[/C][C]0.567209[/C][/ROW]
[ROW][C]43[/C][C]0.027373[/C][C]0.2274[/C][C]0.410403[/C][/ROW]
[ROW][C]44[/C][C]-0.11287[/C][C]-0.9376[/C][C]0.824131[/C][/ROW]
[ROW][C]45[/C][C]0.032089[/C][C]0.2666[/C][C]0.395304[/C][/ROW]
[ROW][C]46[/C][C]-0.040861[/C][C]-0.3394[/C][C]0.632336[/C][/ROW]
[ROW][C]47[/C][C]-0.057[/C][C]-0.4735[/C][C]0.681317[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7200&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7200&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
00.6197995.14841e-06
10.1413451.17410.122196
20.1504661.24990.107786
30.1889911.56990.060509
4-0.06776-0.56290.712321
5-0.138156-1.14760.872453
6-0.072327-0.60080.725026
7-0.242069-2.01080.975871
80.2724862.26340.013378
9-0.14719-1.22270.887189
10-0.02104-0.17480.569116
11-0.226283-1.87960.967811
120.1315941.09310.139076
130.0583530.48470.314707
140.1183290.98290.164542
150.1432991.19030.118998
16-0.010599-0.0880.534951
170.0946730.78640.217158
18-0.041717-0.34650.635001
19-0.027013-0.22440.58844
200.0966670.8030.212374
21-0.115783-0.96180.830237
22-0.06236-0.5180.696941
23-0.093814-0.77930.78076
240.0162160.13470.446622
25-0.060004-0.49840.690116
260.0793560.65920.255986
27-0.074652-0.62010.731384
280.0413280.34330.366209
29-0.017281-0.14350.556863
300.0774110.6430.26117
31-0.121524-1.00950.841859
320.0341390.28360.388792
330.0784910.6520.258284
34-0.088207-0.73270.766889
35-0.206321-1.71380.954476
360.0371540.30860.379269
37-0.101221-0.84080.798319
380.061010.50680.306961
39-0.121093-1.00590.841005
400.054150.44980.327132
410.0263950.21930.41355
42-0.020454-0.16990.567209
430.0273730.22740.410403
44-0.11287-0.93760.824131
450.0320890.26660.395304
46-0.040861-0.33940.632336
47-0.057-0.47350.681317



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