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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 11:10:44 -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/t1196359202kpbx0b27v7yj160.htm/, Retrieved Fri, 03 May 2024 04:25:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7560, Retrieved Fri, 03 May 2024 04:25:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbridome
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [workshop3] [2007-11-29 18:10:44] [9cd804c1ac16035a4cb2da1c6dfdb61e] [Current]
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Dataseries X:
91.0
85.3
89.5
76.1
76.1
91.5
85.4
80.0
94.0
72.6
80.8
94.1
94.9
91.9
99.2
84.7
93.7
106.7
93.5
104.8
103.5
83.1
89.6
105.7
110.7
110.4
109.0
106.0
100.9
114.3
101.2
109.2
111.6
91.7
93.7
105.7
109.5
105.3
102.8
100.6
97.6
110.3
107.2
107.2
108.1
97.1
92.2
112.2
111.6
115.7
111.3
104.2
103.2
112.7
106.4
102.6
110.6
95.2
89.0
112.5
116.8
107.2
113.6
101.8
102.6
122.7
110.3
110.5
121.6
100.3
100.7
123.4
127.1
124.1
131.2
111.6
114.2
130.1
125.9
119.0
133.8
107.5
113.5
134.4
126.8
135.6
139.9
129.8
131.0
153.1
134.1
144.1
155.9
123.3
128.1
144.3
153.0
149.9
150.9
141.0
138.9
157.4
142.7
151.5
160.8
138.6




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=7560&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=7560&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7560&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
019.69540
10.5832995.65530
20.6410526.21520
30.582015.64280
40.4621054.48031e-05
50.4534884.39671.4e-05
60.3839313.72240.000168
70.3140973.04530.001508
80.3070362.97680.001852
90.2640622.56020.006028
100.108731.05420.147253
110.1175291.13950.128697
12-0.031762-0.30790.620597
130.0579580.56190.287754
140.0731940.70960.23984
150.0780240.75650.225629
160.0705350.68390.247874
170.0927210.8990.185485
180.1460631.41610.080021
19-0.004397-0.04260.516955
200.0856630.83050.204171
210.0033440.03240.487103
220.0395480.38340.351131
230.0958040.92890.177672
24-0.007096-0.06880.52735
25-0.036786-0.35670.638924
26-0.031287-0.30330.618848
27-0.154879-1.50160.931724
28-0.207795-2.01470.976601
29-0.183204-1.77620.960534
30-0.309119-2.9970.998257
31-0.245692-2.38210.990385
32-0.296962-2.87920.997531
33-0.30858-2.99180.998229
34-0.388697-3.76860.999857
35-0.365498-3.54360.999692
36-0.376122-3.64660.999782
37-0.346112-3.35570.999428
38-0.303965-2.94710.997977
39-0.32094-3.11160.998768
40-0.190333-1.84530.965932
41-0.226241-2.19350.984631
42-0.240552-2.33220.989089
43-0.161308-1.56390.939404
44-0.188802-1.83050.964828
45-0.182382-1.76830.959869
46-0.087976-0.8530.802076
47-0.122049-1.18330.880165

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 9.6954 & 0 \tabularnewline
1 & 0.583299 & 5.6553 & 0 \tabularnewline
2 & 0.641052 & 6.2152 & 0 \tabularnewline
3 & 0.58201 & 5.6428 & 0 \tabularnewline
4 & 0.462105 & 4.4803 & 1e-05 \tabularnewline
5 & 0.453488 & 4.3967 & 1.4e-05 \tabularnewline
6 & 0.383931 & 3.7224 & 0.000168 \tabularnewline
7 & 0.314097 & 3.0453 & 0.001508 \tabularnewline
8 & 0.307036 & 2.9768 & 0.001852 \tabularnewline
9 & 0.264062 & 2.5602 & 0.006028 \tabularnewline
10 & 0.10873 & 1.0542 & 0.147253 \tabularnewline
11 & 0.117529 & 1.1395 & 0.128697 \tabularnewline
12 & -0.031762 & -0.3079 & 0.620597 \tabularnewline
13 & 0.057958 & 0.5619 & 0.287754 \tabularnewline
14 & 0.073194 & 0.7096 & 0.23984 \tabularnewline
15 & 0.078024 & 0.7565 & 0.225629 \tabularnewline
16 & 0.070535 & 0.6839 & 0.247874 \tabularnewline
17 & 0.092721 & 0.899 & 0.185485 \tabularnewline
18 & 0.146063 & 1.4161 & 0.080021 \tabularnewline
19 & -0.004397 & -0.0426 & 0.516955 \tabularnewline
20 & 0.085663 & 0.8305 & 0.204171 \tabularnewline
21 & 0.003344 & 0.0324 & 0.487103 \tabularnewline
22 & 0.039548 & 0.3834 & 0.351131 \tabularnewline
23 & 0.095804 & 0.9289 & 0.177672 \tabularnewline
24 & -0.007096 & -0.0688 & 0.52735 \tabularnewline
25 & -0.036786 & -0.3567 & 0.638924 \tabularnewline
26 & -0.031287 & -0.3033 & 0.618848 \tabularnewline
27 & -0.154879 & -1.5016 & 0.931724 \tabularnewline
28 & -0.207795 & -2.0147 & 0.976601 \tabularnewline
29 & -0.183204 & -1.7762 & 0.960534 \tabularnewline
30 & -0.309119 & -2.997 & 0.998257 \tabularnewline
31 & -0.245692 & -2.3821 & 0.990385 \tabularnewline
32 & -0.296962 & -2.8792 & 0.997531 \tabularnewline
33 & -0.30858 & -2.9918 & 0.998229 \tabularnewline
34 & -0.388697 & -3.7686 & 0.999857 \tabularnewline
35 & -0.365498 & -3.5436 & 0.999692 \tabularnewline
36 & -0.376122 & -3.6466 & 0.999782 \tabularnewline
37 & -0.346112 & -3.3557 & 0.999428 \tabularnewline
38 & -0.303965 & -2.9471 & 0.997977 \tabularnewline
39 & -0.32094 & -3.1116 & 0.998768 \tabularnewline
40 & -0.190333 & -1.8453 & 0.965932 \tabularnewline
41 & -0.226241 & -2.1935 & 0.984631 \tabularnewline
42 & -0.240552 & -2.3322 & 0.989089 \tabularnewline
43 & -0.161308 & -1.5639 & 0.939404 \tabularnewline
44 & -0.188802 & -1.8305 & 0.964828 \tabularnewline
45 & -0.182382 & -1.7683 & 0.959869 \tabularnewline
46 & -0.087976 & -0.853 & 0.802076 \tabularnewline
47 & -0.122049 & -1.1833 & 0.880165 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7560&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]9.6954[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.583299[/C][C]5.6553[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.641052[/C][C]6.2152[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.58201[/C][C]5.6428[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.462105[/C][C]4.4803[/C][C]1e-05[/C][/ROW]
[ROW][C]5[/C][C]0.453488[/C][C]4.3967[/C][C]1.4e-05[/C][/ROW]
[ROW][C]6[/C][C]0.383931[/C][C]3.7224[/C][C]0.000168[/C][/ROW]
[ROW][C]7[/C][C]0.314097[/C][C]3.0453[/C][C]0.001508[/C][/ROW]
[ROW][C]8[/C][C]0.307036[/C][C]2.9768[/C][C]0.001852[/C][/ROW]
[ROW][C]9[/C][C]0.264062[/C][C]2.5602[/C][C]0.006028[/C][/ROW]
[ROW][C]10[/C][C]0.10873[/C][C]1.0542[/C][C]0.147253[/C][/ROW]
[ROW][C]11[/C][C]0.117529[/C][C]1.1395[/C][C]0.128697[/C][/ROW]
[ROW][C]12[/C][C]-0.031762[/C][C]-0.3079[/C][C]0.620597[/C][/ROW]
[ROW][C]13[/C][C]0.057958[/C][C]0.5619[/C][C]0.287754[/C][/ROW]
[ROW][C]14[/C][C]0.073194[/C][C]0.7096[/C][C]0.23984[/C][/ROW]
[ROW][C]15[/C][C]0.078024[/C][C]0.7565[/C][C]0.225629[/C][/ROW]
[ROW][C]16[/C][C]0.070535[/C][C]0.6839[/C][C]0.247874[/C][/ROW]
[ROW][C]17[/C][C]0.092721[/C][C]0.899[/C][C]0.185485[/C][/ROW]
[ROW][C]18[/C][C]0.146063[/C][C]1.4161[/C][C]0.080021[/C][/ROW]
[ROW][C]19[/C][C]-0.004397[/C][C]-0.0426[/C][C]0.516955[/C][/ROW]
[ROW][C]20[/C][C]0.085663[/C][C]0.8305[/C][C]0.204171[/C][/ROW]
[ROW][C]21[/C][C]0.003344[/C][C]0.0324[/C][C]0.487103[/C][/ROW]
[ROW][C]22[/C][C]0.039548[/C][C]0.3834[/C][C]0.351131[/C][/ROW]
[ROW][C]23[/C][C]0.095804[/C][C]0.9289[/C][C]0.177672[/C][/ROW]
[ROW][C]24[/C][C]-0.007096[/C][C]-0.0688[/C][C]0.52735[/C][/ROW]
[ROW][C]25[/C][C]-0.036786[/C][C]-0.3567[/C][C]0.638924[/C][/ROW]
[ROW][C]26[/C][C]-0.031287[/C][C]-0.3033[/C][C]0.618848[/C][/ROW]
[ROW][C]27[/C][C]-0.154879[/C][C]-1.5016[/C][C]0.931724[/C][/ROW]
[ROW][C]28[/C][C]-0.207795[/C][C]-2.0147[/C][C]0.976601[/C][/ROW]
[ROW][C]29[/C][C]-0.183204[/C][C]-1.7762[/C][C]0.960534[/C][/ROW]
[ROW][C]30[/C][C]-0.309119[/C][C]-2.997[/C][C]0.998257[/C][/ROW]
[ROW][C]31[/C][C]-0.245692[/C][C]-2.3821[/C][C]0.990385[/C][/ROW]
[ROW][C]32[/C][C]-0.296962[/C][C]-2.8792[/C][C]0.997531[/C][/ROW]
[ROW][C]33[/C][C]-0.30858[/C][C]-2.9918[/C][C]0.998229[/C][/ROW]
[ROW][C]34[/C][C]-0.388697[/C][C]-3.7686[/C][C]0.999857[/C][/ROW]
[ROW][C]35[/C][C]-0.365498[/C][C]-3.5436[/C][C]0.999692[/C][/ROW]
[ROW][C]36[/C][C]-0.376122[/C][C]-3.6466[/C][C]0.999782[/C][/ROW]
[ROW][C]37[/C][C]-0.346112[/C][C]-3.3557[/C][C]0.999428[/C][/ROW]
[ROW][C]38[/C][C]-0.303965[/C][C]-2.9471[/C][C]0.997977[/C][/ROW]
[ROW][C]39[/C][C]-0.32094[/C][C]-3.1116[/C][C]0.998768[/C][/ROW]
[ROW][C]40[/C][C]-0.190333[/C][C]-1.8453[/C][C]0.965932[/C][/ROW]
[ROW][C]41[/C][C]-0.226241[/C][C]-2.1935[/C][C]0.984631[/C][/ROW]
[ROW][C]42[/C][C]-0.240552[/C][C]-2.3322[/C][C]0.989089[/C][/ROW]
[ROW][C]43[/C][C]-0.161308[/C][C]-1.5639[/C][C]0.939404[/C][/ROW]
[ROW][C]44[/C][C]-0.188802[/C][C]-1.8305[/C][C]0.964828[/C][/ROW]
[ROW][C]45[/C][C]-0.182382[/C][C]-1.7683[/C][C]0.959869[/C][/ROW]
[ROW][C]46[/C][C]-0.087976[/C][C]-0.853[/C][C]0.802076[/C][/ROW]
[ROW][C]47[/C][C]-0.122049[/C][C]-1.1833[/C][C]0.880165[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7560&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7560&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
019.69540
10.5832995.65530
20.6410526.21520
30.582015.64280
40.4621054.48031e-05
50.4534884.39671.4e-05
60.3839313.72240.000168
70.3140973.04530.001508
80.3070362.97680.001852
90.2640622.56020.006028
100.108731.05420.147253
110.1175291.13950.128697
12-0.031762-0.30790.620597
130.0579580.56190.287754
140.0731940.70960.23984
150.0780240.75650.225629
160.0705350.68390.247874
170.0927210.8990.185485
180.1460631.41610.080021
19-0.004397-0.04260.516955
200.0856630.83050.204171
210.0033440.03240.487103
220.0395480.38340.351131
230.0958040.92890.177672
24-0.007096-0.06880.52735
25-0.036786-0.35670.638924
26-0.031287-0.30330.618848
27-0.154879-1.50160.931724
28-0.207795-2.01470.976601
29-0.183204-1.77620.960534
30-0.309119-2.9970.998257
31-0.245692-2.38210.990385
32-0.296962-2.87920.997531
33-0.30858-2.99180.998229
34-0.388697-3.76860.999857
35-0.365498-3.54360.999692
36-0.376122-3.64660.999782
37-0.346112-3.35570.999428
38-0.303965-2.94710.997977
39-0.32094-3.11160.998768
40-0.190333-1.84530.965932
41-0.226241-2.19350.984631
42-0.240552-2.33220.989089
43-0.161308-1.56390.939404
44-0.188802-1.83050.964828
45-0.182382-1.76830.959869
46-0.087976-0.8530.802076
47-0.122049-1.18330.880165







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.5832995.65530
10.4559444.42051.3e-05
20.2155012.08940.019688
3-0.07937-0.76950.778244
4-0.004283-0.04150.516516
5-0.001313-0.01270.505064
6-0.053619-0.51990.697808
70.0218990.21230.416161
80.0358240.34730.364563
9-0.246289-2.38790.990527
10-0.086453-0.83820.797976
11-0.162065-1.57130.940261
120.2184722.11820.0184
130.2747752.6640.004543
140.1950961.89150.030816
15-0.092984-0.90150.81519
16-0.100128-0.97080.832924
170.1280821.24180.108699
18-0.228527-2.21560.985435
19-0.015604-0.15130.559962
20-0.083883-0.81330.790944
21-0.093689-0.90840.816992
220.0768650.74520.228994
23-0.12482-1.21020.885376
24-0.084243-0.81680.791937
250.0601240.58290.28067
26-0.060233-0.5840.719683
27-0.159536-1.54680.93736
280.0334630.32440.373165
290.0192580.18670.426145
30-0.170808-1.6560.949476
31-0.092995-0.90160.815219
320.0909790.88210.189993
33-0.185964-1.8030.962703
340.0429890.41680.338891
350.0543470.52690.299746
360.0694130.6730.251304
370.0663180.6430.260901
38-0.04459-0.43230.666748
390.0227150.22020.413085
40-0.036166-0.35060.63668
41-0.073442-0.7120.760899
420.0168380.16320.435338
43-0.061496-0.59620.723772
440.0279450.27090.393519
45-0.050641-0.4910.687708
460.0218820.21220.416222
47-0.115379-1.11860.866928

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.583299 & 5.6553 & 0 \tabularnewline
1 & 0.455944 & 4.4205 & 1.3e-05 \tabularnewline
2 & 0.215501 & 2.0894 & 0.019688 \tabularnewline
3 & -0.07937 & -0.7695 & 0.778244 \tabularnewline
4 & -0.004283 & -0.0415 & 0.516516 \tabularnewline
5 & -0.001313 & -0.0127 & 0.505064 \tabularnewline
6 & -0.053619 & -0.5199 & 0.697808 \tabularnewline
7 & 0.021899 & 0.2123 & 0.416161 \tabularnewline
8 & 0.035824 & 0.3473 & 0.364563 \tabularnewline
9 & -0.246289 & -2.3879 & 0.990527 \tabularnewline
10 & -0.086453 & -0.8382 & 0.797976 \tabularnewline
11 & -0.162065 & -1.5713 & 0.940261 \tabularnewline
12 & 0.218472 & 2.1182 & 0.0184 \tabularnewline
13 & 0.274775 & 2.664 & 0.004543 \tabularnewline
14 & 0.195096 & 1.8915 & 0.030816 \tabularnewline
15 & -0.092984 & -0.9015 & 0.81519 \tabularnewline
16 & -0.100128 & -0.9708 & 0.832924 \tabularnewline
17 & 0.128082 & 1.2418 & 0.108699 \tabularnewline
18 & -0.228527 & -2.2156 & 0.985435 \tabularnewline
19 & -0.015604 & -0.1513 & 0.559962 \tabularnewline
20 & -0.083883 & -0.8133 & 0.790944 \tabularnewline
21 & -0.093689 & -0.9084 & 0.816992 \tabularnewline
22 & 0.076865 & 0.7452 & 0.228994 \tabularnewline
23 & -0.12482 & -1.2102 & 0.885376 \tabularnewline
24 & -0.084243 & -0.8168 & 0.791937 \tabularnewline
25 & 0.060124 & 0.5829 & 0.28067 \tabularnewline
26 & -0.060233 & -0.584 & 0.719683 \tabularnewline
27 & -0.159536 & -1.5468 & 0.93736 \tabularnewline
28 & 0.033463 & 0.3244 & 0.373165 \tabularnewline
29 & 0.019258 & 0.1867 & 0.426145 \tabularnewline
30 & -0.170808 & -1.656 & 0.949476 \tabularnewline
31 & -0.092995 & -0.9016 & 0.815219 \tabularnewline
32 & 0.090979 & 0.8821 & 0.189993 \tabularnewline
33 & -0.185964 & -1.803 & 0.962703 \tabularnewline
34 & 0.042989 & 0.4168 & 0.338891 \tabularnewline
35 & 0.054347 & 0.5269 & 0.299746 \tabularnewline
36 & 0.069413 & 0.673 & 0.251304 \tabularnewline
37 & 0.066318 & 0.643 & 0.260901 \tabularnewline
38 & -0.04459 & -0.4323 & 0.666748 \tabularnewline
39 & 0.022715 & 0.2202 & 0.413085 \tabularnewline
40 & -0.036166 & -0.3506 & 0.63668 \tabularnewline
41 & -0.073442 & -0.712 & 0.760899 \tabularnewline
42 & 0.016838 & 0.1632 & 0.435338 \tabularnewline
43 & -0.061496 & -0.5962 & 0.723772 \tabularnewline
44 & 0.027945 & 0.2709 & 0.393519 \tabularnewline
45 & -0.050641 & -0.491 & 0.687708 \tabularnewline
46 & 0.021882 & 0.2122 & 0.416222 \tabularnewline
47 & -0.115379 & -1.1186 & 0.866928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7560&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]0.583299[/C][C]5.6553[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.455944[/C][C]4.4205[/C][C]1.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.215501[/C][C]2.0894[/C][C]0.019688[/C][/ROW]
[ROW][C]3[/C][C]-0.07937[/C][C]-0.7695[/C][C]0.778244[/C][/ROW]
[ROW][C]4[/C][C]-0.004283[/C][C]-0.0415[/C][C]0.516516[/C][/ROW]
[ROW][C]5[/C][C]-0.001313[/C][C]-0.0127[/C][C]0.505064[/C][/ROW]
[ROW][C]6[/C][C]-0.053619[/C][C]-0.5199[/C][C]0.697808[/C][/ROW]
[ROW][C]7[/C][C]0.021899[/C][C]0.2123[/C][C]0.416161[/C][/ROW]
[ROW][C]8[/C][C]0.035824[/C][C]0.3473[/C][C]0.364563[/C][/ROW]
[ROW][C]9[/C][C]-0.246289[/C][C]-2.3879[/C][C]0.990527[/C][/ROW]
[ROW][C]10[/C][C]-0.086453[/C][C]-0.8382[/C][C]0.797976[/C][/ROW]
[ROW][C]11[/C][C]-0.162065[/C][C]-1.5713[/C][C]0.940261[/C][/ROW]
[ROW][C]12[/C][C]0.218472[/C][C]2.1182[/C][C]0.0184[/C][/ROW]
[ROW][C]13[/C][C]0.274775[/C][C]2.664[/C][C]0.004543[/C][/ROW]
[ROW][C]14[/C][C]0.195096[/C][C]1.8915[/C][C]0.030816[/C][/ROW]
[ROW][C]15[/C][C]-0.092984[/C][C]-0.9015[/C][C]0.81519[/C][/ROW]
[ROW][C]16[/C][C]-0.100128[/C][C]-0.9708[/C][C]0.832924[/C][/ROW]
[ROW][C]17[/C][C]0.128082[/C][C]1.2418[/C][C]0.108699[/C][/ROW]
[ROW][C]18[/C][C]-0.228527[/C][C]-2.2156[/C][C]0.985435[/C][/ROW]
[ROW][C]19[/C][C]-0.015604[/C][C]-0.1513[/C][C]0.559962[/C][/ROW]
[ROW][C]20[/C][C]-0.083883[/C][C]-0.8133[/C][C]0.790944[/C][/ROW]
[ROW][C]21[/C][C]-0.093689[/C][C]-0.9084[/C][C]0.816992[/C][/ROW]
[ROW][C]22[/C][C]0.076865[/C][C]0.7452[/C][C]0.228994[/C][/ROW]
[ROW][C]23[/C][C]-0.12482[/C][C]-1.2102[/C][C]0.885376[/C][/ROW]
[ROW][C]24[/C][C]-0.084243[/C][C]-0.8168[/C][C]0.791937[/C][/ROW]
[ROW][C]25[/C][C]0.060124[/C][C]0.5829[/C][C]0.28067[/C][/ROW]
[ROW][C]26[/C][C]-0.060233[/C][C]-0.584[/C][C]0.719683[/C][/ROW]
[ROW][C]27[/C][C]-0.159536[/C][C]-1.5468[/C][C]0.93736[/C][/ROW]
[ROW][C]28[/C][C]0.033463[/C][C]0.3244[/C][C]0.373165[/C][/ROW]
[ROW][C]29[/C][C]0.019258[/C][C]0.1867[/C][C]0.426145[/C][/ROW]
[ROW][C]30[/C][C]-0.170808[/C][C]-1.656[/C][C]0.949476[/C][/ROW]
[ROW][C]31[/C][C]-0.092995[/C][C]-0.9016[/C][C]0.815219[/C][/ROW]
[ROW][C]32[/C][C]0.090979[/C][C]0.8821[/C][C]0.189993[/C][/ROW]
[ROW][C]33[/C][C]-0.185964[/C][C]-1.803[/C][C]0.962703[/C][/ROW]
[ROW][C]34[/C][C]0.042989[/C][C]0.4168[/C][C]0.338891[/C][/ROW]
[ROW][C]35[/C][C]0.054347[/C][C]0.5269[/C][C]0.299746[/C][/ROW]
[ROW][C]36[/C][C]0.069413[/C][C]0.673[/C][C]0.251304[/C][/ROW]
[ROW][C]37[/C][C]0.066318[/C][C]0.643[/C][C]0.260901[/C][/ROW]
[ROW][C]38[/C][C]-0.04459[/C][C]-0.4323[/C][C]0.666748[/C][/ROW]
[ROW][C]39[/C][C]0.022715[/C][C]0.2202[/C][C]0.413085[/C][/ROW]
[ROW][C]40[/C][C]-0.036166[/C][C]-0.3506[/C][C]0.63668[/C][/ROW]
[ROW][C]41[/C][C]-0.073442[/C][C]-0.712[/C][C]0.760899[/C][/ROW]
[ROW][C]42[/C][C]0.016838[/C][C]0.1632[/C][C]0.435338[/C][/ROW]
[ROW][C]43[/C][C]-0.061496[/C][C]-0.5962[/C][C]0.723772[/C][/ROW]
[ROW][C]44[/C][C]0.027945[/C][C]0.2709[/C][C]0.393519[/C][/ROW]
[ROW][C]45[/C][C]-0.050641[/C][C]-0.491[/C][C]0.687708[/C][/ROW]
[ROW][C]46[/C][C]0.021882[/C][C]0.2122[/C][C]0.416222[/C][/ROW]
[ROW][C]47[/C][C]-0.115379[/C][C]-1.1186[/C][C]0.866928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7560&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7560&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
00.5832995.65530
10.4559444.42051.3e-05
20.2155012.08940.019688
3-0.07937-0.76950.778244
4-0.004283-0.04150.516516
5-0.001313-0.01270.505064
6-0.053619-0.51990.697808
70.0218990.21230.416161
80.0358240.34730.364563
9-0.246289-2.38790.990527
10-0.086453-0.83820.797976
11-0.162065-1.57130.940261
120.2184722.11820.0184
130.2747752.6640.004543
140.1950961.89150.030816
15-0.092984-0.90150.81519
16-0.100128-0.97080.832924
170.1280821.24180.108699
18-0.228527-2.21560.985435
19-0.015604-0.15130.559962
20-0.083883-0.81330.790944
21-0.093689-0.90840.816992
220.0768650.74520.228994
23-0.12482-1.21020.885376
24-0.084243-0.81680.791937
250.0601240.58290.28067
26-0.060233-0.5840.719683
27-0.159536-1.54680.93736
280.0334630.32440.373165
290.0192580.18670.426145
30-0.170808-1.6560.949476
31-0.092995-0.90160.815219
320.0909790.88210.189993
33-0.185964-1.8030.962703
340.0429890.41680.338891
350.0543470.52690.299746
360.0694130.6730.251304
370.0663180.6430.260901
38-0.04459-0.43230.666748
390.0227150.22020.413085
40-0.036166-0.35060.63668
41-0.073442-0.7120.760899
420.0168380.16320.435338
43-0.061496-0.59620.723772
440.0279450.27090.393519
45-0.050641-0.4910.687708
460.0218820.21220.416222
47-0.115379-1.11860.866928



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')