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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 21 Dec 2008 09:53:44 -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/2008/Dec/21/t122987846210ivn1jhodlqxu4.htm/, Retrieved Sun, 19 May 2024 12:15:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35685, Retrieved Sun, 19 May 2024 12:15:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-21 16:53:44] [a2d5a6282476ec2b5afae6fb53d308f8] [Current]
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Dataseries X:
87.0
96.3
107.1
115.2
106.1
89.5
91.3
97.6
100.7
104.6
94.7
101.8
102.5
105.3
110.3
109.8
117.3
118.8
131.3
125.9
133.1
147.0
145.8
164.4
149.8
137.7
151.7
156.8
180.0
180.4
170.4
191.6
199.5
218.2
217.5
205.0
194.0
199.3
219.3
211.1
215.2
240.2
242.2
240.7
255.4
253.0
218.2
203.7
205.6
215.6
188.5
202.9
214.0
230.3
230.0
241.0
259.6
247.8
270.3
289.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35685&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35685&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35685&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9208427.13280
20.8539246.61450
30.8104976.27810
40.7589395.87870
50.7109425.50690
60.657695.09442e-06
70.6110074.73287e-06
80.570894.42212.1e-05
90.5444554.21734.2e-05
100.538264.16935e-05
110.499583.86970.000136
120.458933.55490.000372
130.4200113.25340.000937
140.3799492.94310.002308
150.3182452.46510.008288
160.2452841.90.031124
170.1875711.45290.075728
180.1283570.99430.162046
190.073410.56860.285865
200.0366060.28360.388865
21-0.00363-0.02810.48883
22-0.049841-0.38610.350406
23-0.086151-0.66730.253561
24-0.107716-0.83440.203692
25-0.1411-1.0930.139391
26-0.196572-1.52260.066551
27-0.250272-1.93860.028629
28-0.292786-2.26790.013474
29-0.319989-2.47860.008009
30-0.330872-2.56290.006453
31-0.359782-2.78690.003558
32-0.383851-2.97330.002119
33-0.392478-3.04010.001751
34-0.390873-3.02770.001814
35-0.375598-2.90940.002537
36-0.377645-2.92520.002426
37-0.394611-3.05660.00167
38-0.399774-3.09660.001487
39-0.401433-3.10950.001433
40-0.396505-3.07130.0016
41-0.389317-3.01560.001878
42-0.378574-2.93240.002378
43-0.364845-2.82610.003196
44-0.35003-2.71130.004364
45-0.322218-2.49590.007665
46-0.296859-2.29950.012487
47-0.283468-2.19570.015995
48-0.274834-2.12890.01869
49-0.262586-2.0340.023191
50-0.240885-1.86590.033474
51-0.238635-1.84850.034733
52-0.227965-1.76580.041258
53-0.212747-1.64790.052297
54-0.186763-1.44670.076598
55-0.158189-1.22530.11262
56-0.13504-1.0460.149875
57-0.110693-0.85740.197312
58-0.088802-0.68790.247097
59-0.051458-0.39860.345803
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.920842 & 7.1328 & 0 \tabularnewline
2 & 0.853924 & 6.6145 & 0 \tabularnewline
3 & 0.810497 & 6.2781 & 0 \tabularnewline
4 & 0.758939 & 5.8787 & 0 \tabularnewline
5 & 0.710942 & 5.5069 & 0 \tabularnewline
6 & 0.65769 & 5.0944 & 2e-06 \tabularnewline
7 & 0.611007 & 4.7328 & 7e-06 \tabularnewline
8 & 0.57089 & 4.4221 & 2.1e-05 \tabularnewline
9 & 0.544455 & 4.2173 & 4.2e-05 \tabularnewline
10 & 0.53826 & 4.1693 & 5e-05 \tabularnewline
11 & 0.49958 & 3.8697 & 0.000136 \tabularnewline
12 & 0.45893 & 3.5549 & 0.000372 \tabularnewline
13 & 0.420011 & 3.2534 & 0.000937 \tabularnewline
14 & 0.379949 & 2.9431 & 0.002308 \tabularnewline
15 & 0.318245 & 2.4651 & 0.008288 \tabularnewline
16 & 0.245284 & 1.9 & 0.031124 \tabularnewline
17 & 0.187571 & 1.4529 & 0.075728 \tabularnewline
18 & 0.128357 & 0.9943 & 0.162046 \tabularnewline
19 & 0.07341 & 0.5686 & 0.285865 \tabularnewline
20 & 0.036606 & 0.2836 & 0.388865 \tabularnewline
21 & -0.00363 & -0.0281 & 0.48883 \tabularnewline
22 & -0.049841 & -0.3861 & 0.350406 \tabularnewline
23 & -0.086151 & -0.6673 & 0.253561 \tabularnewline
24 & -0.107716 & -0.8344 & 0.203692 \tabularnewline
25 & -0.1411 & -1.093 & 0.139391 \tabularnewline
26 & -0.196572 & -1.5226 & 0.066551 \tabularnewline
27 & -0.250272 & -1.9386 & 0.028629 \tabularnewline
28 & -0.292786 & -2.2679 & 0.013474 \tabularnewline
29 & -0.319989 & -2.4786 & 0.008009 \tabularnewline
30 & -0.330872 & -2.5629 & 0.006453 \tabularnewline
31 & -0.359782 & -2.7869 & 0.003558 \tabularnewline
32 & -0.383851 & -2.9733 & 0.002119 \tabularnewline
33 & -0.392478 & -3.0401 & 0.001751 \tabularnewline
34 & -0.390873 & -3.0277 & 0.001814 \tabularnewline
35 & -0.375598 & -2.9094 & 0.002537 \tabularnewline
36 & -0.377645 & -2.9252 & 0.002426 \tabularnewline
37 & -0.394611 & -3.0566 & 0.00167 \tabularnewline
38 & -0.399774 & -3.0966 & 0.001487 \tabularnewline
39 & -0.401433 & -3.1095 & 0.001433 \tabularnewline
40 & -0.396505 & -3.0713 & 0.0016 \tabularnewline
41 & -0.389317 & -3.0156 & 0.001878 \tabularnewline
42 & -0.378574 & -2.9324 & 0.002378 \tabularnewline
43 & -0.364845 & -2.8261 & 0.003196 \tabularnewline
44 & -0.35003 & -2.7113 & 0.004364 \tabularnewline
45 & -0.322218 & -2.4959 & 0.007665 \tabularnewline
46 & -0.296859 & -2.2995 & 0.012487 \tabularnewline
47 & -0.283468 & -2.1957 & 0.015995 \tabularnewline
48 & -0.274834 & -2.1289 & 0.01869 \tabularnewline
49 & -0.262586 & -2.034 & 0.023191 \tabularnewline
50 & -0.240885 & -1.8659 & 0.033474 \tabularnewline
51 & -0.238635 & -1.8485 & 0.034733 \tabularnewline
52 & -0.227965 & -1.7658 & 0.041258 \tabularnewline
53 & -0.212747 & -1.6479 & 0.052297 \tabularnewline
54 & -0.186763 & -1.4467 & 0.076598 \tabularnewline
55 & -0.158189 & -1.2253 & 0.11262 \tabularnewline
56 & -0.13504 & -1.046 & 0.149875 \tabularnewline
57 & -0.110693 & -0.8574 & 0.197312 \tabularnewline
58 & -0.088802 & -0.6879 & 0.247097 \tabularnewline
59 & -0.051458 & -0.3986 & 0.345803 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35685&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]0.920842[/C][C]7.1328[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.853924[/C][C]6.6145[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.810497[/C][C]6.2781[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.758939[/C][C]5.8787[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.710942[/C][C]5.5069[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.65769[/C][C]5.0944[/C][C]2e-06[/C][/ROW]
[ROW][C]7[/C][C]0.611007[/C][C]4.7328[/C][C]7e-06[/C][/ROW]
[ROW][C]8[/C][C]0.57089[/C][C]4.4221[/C][C]2.1e-05[/C][/ROW]
[ROW][C]9[/C][C]0.544455[/C][C]4.2173[/C][C]4.2e-05[/C][/ROW]
[ROW][C]10[/C][C]0.53826[/C][C]4.1693[/C][C]5e-05[/C][/ROW]
[ROW][C]11[/C][C]0.49958[/C][C]3.8697[/C][C]0.000136[/C][/ROW]
[ROW][C]12[/C][C]0.45893[/C][C]3.5549[/C][C]0.000372[/C][/ROW]
[ROW][C]13[/C][C]0.420011[/C][C]3.2534[/C][C]0.000937[/C][/ROW]
[ROW][C]14[/C][C]0.379949[/C][C]2.9431[/C][C]0.002308[/C][/ROW]
[ROW][C]15[/C][C]0.318245[/C][C]2.4651[/C][C]0.008288[/C][/ROW]
[ROW][C]16[/C][C]0.245284[/C][C]1.9[/C][C]0.031124[/C][/ROW]
[ROW][C]17[/C][C]0.187571[/C][C]1.4529[/C][C]0.075728[/C][/ROW]
[ROW][C]18[/C][C]0.128357[/C][C]0.9943[/C][C]0.162046[/C][/ROW]
[ROW][C]19[/C][C]0.07341[/C][C]0.5686[/C][C]0.285865[/C][/ROW]
[ROW][C]20[/C][C]0.036606[/C][C]0.2836[/C][C]0.388865[/C][/ROW]
[ROW][C]21[/C][C]-0.00363[/C][C]-0.0281[/C][C]0.48883[/C][/ROW]
[ROW][C]22[/C][C]-0.049841[/C][C]-0.3861[/C][C]0.350406[/C][/ROW]
[ROW][C]23[/C][C]-0.086151[/C][C]-0.6673[/C][C]0.253561[/C][/ROW]
[ROW][C]24[/C][C]-0.107716[/C][C]-0.8344[/C][C]0.203692[/C][/ROW]
[ROW][C]25[/C][C]-0.1411[/C][C]-1.093[/C][C]0.139391[/C][/ROW]
[ROW][C]26[/C][C]-0.196572[/C][C]-1.5226[/C][C]0.066551[/C][/ROW]
[ROW][C]27[/C][C]-0.250272[/C][C]-1.9386[/C][C]0.028629[/C][/ROW]
[ROW][C]28[/C][C]-0.292786[/C][C]-2.2679[/C][C]0.013474[/C][/ROW]
[ROW][C]29[/C][C]-0.319989[/C][C]-2.4786[/C][C]0.008009[/C][/ROW]
[ROW][C]30[/C][C]-0.330872[/C][C]-2.5629[/C][C]0.006453[/C][/ROW]
[ROW][C]31[/C][C]-0.359782[/C][C]-2.7869[/C][C]0.003558[/C][/ROW]
[ROW][C]32[/C][C]-0.383851[/C][C]-2.9733[/C][C]0.002119[/C][/ROW]
[ROW][C]33[/C][C]-0.392478[/C][C]-3.0401[/C][C]0.001751[/C][/ROW]
[ROW][C]34[/C][C]-0.390873[/C][C]-3.0277[/C][C]0.001814[/C][/ROW]
[ROW][C]35[/C][C]-0.375598[/C][C]-2.9094[/C][C]0.002537[/C][/ROW]
[ROW][C]36[/C][C]-0.377645[/C][C]-2.9252[/C][C]0.002426[/C][/ROW]
[ROW][C]37[/C][C]-0.394611[/C][C]-3.0566[/C][C]0.00167[/C][/ROW]
[ROW][C]38[/C][C]-0.399774[/C][C]-3.0966[/C][C]0.001487[/C][/ROW]
[ROW][C]39[/C][C]-0.401433[/C][C]-3.1095[/C][C]0.001433[/C][/ROW]
[ROW][C]40[/C][C]-0.396505[/C][C]-3.0713[/C][C]0.0016[/C][/ROW]
[ROW][C]41[/C][C]-0.389317[/C][C]-3.0156[/C][C]0.001878[/C][/ROW]
[ROW][C]42[/C][C]-0.378574[/C][C]-2.9324[/C][C]0.002378[/C][/ROW]
[ROW][C]43[/C][C]-0.364845[/C][C]-2.8261[/C][C]0.003196[/C][/ROW]
[ROW][C]44[/C][C]-0.35003[/C][C]-2.7113[/C][C]0.004364[/C][/ROW]
[ROW][C]45[/C][C]-0.322218[/C][C]-2.4959[/C][C]0.007665[/C][/ROW]
[ROW][C]46[/C][C]-0.296859[/C][C]-2.2995[/C][C]0.012487[/C][/ROW]
[ROW][C]47[/C][C]-0.283468[/C][C]-2.1957[/C][C]0.015995[/C][/ROW]
[ROW][C]48[/C][C]-0.274834[/C][C]-2.1289[/C][C]0.01869[/C][/ROW]
[ROW][C]49[/C][C]-0.262586[/C][C]-2.034[/C][C]0.023191[/C][/ROW]
[ROW][C]50[/C][C]-0.240885[/C][C]-1.8659[/C][C]0.033474[/C][/ROW]
[ROW][C]51[/C][C]-0.238635[/C][C]-1.8485[/C][C]0.034733[/C][/ROW]
[ROW][C]52[/C][C]-0.227965[/C][C]-1.7658[/C][C]0.041258[/C][/ROW]
[ROW][C]53[/C][C]-0.212747[/C][C]-1.6479[/C][C]0.052297[/C][/ROW]
[ROW][C]54[/C][C]-0.186763[/C][C]-1.4467[/C][C]0.076598[/C][/ROW]
[ROW][C]55[/C][C]-0.158189[/C][C]-1.2253[/C][C]0.11262[/C][/ROW]
[ROW][C]56[/C][C]-0.13504[/C][C]-1.046[/C][C]0.149875[/C][/ROW]
[ROW][C]57[/C][C]-0.110693[/C][C]-0.8574[/C][C]0.197312[/C][/ROW]
[ROW][C]58[/C][C]-0.088802[/C][C]-0.6879[/C][C]0.247097[/C][/ROW]
[ROW][C]59[/C][C]-0.051458[/C][C]-0.3986[/C][C]0.345803[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35685&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35685&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
10.9208427.13280
20.8539246.61450
30.8104976.27810
40.7589395.87870
50.7109425.50690
60.657695.09442e-06
70.6110074.73287e-06
80.570894.42212.1e-05
90.5444554.21734.2e-05
100.538264.16935e-05
110.499583.86970.000136
120.458933.55490.000372
130.4200113.25340.000937
140.3799492.94310.002308
150.3182452.46510.008288
160.2452841.90.031124
170.1875711.45290.075728
180.1283570.99430.162046
190.073410.56860.285865
200.0366060.28360.388865
21-0.00363-0.02810.48883
22-0.049841-0.38610.350406
23-0.086151-0.66730.253561
24-0.107716-0.83440.203692
25-0.1411-1.0930.139391
26-0.196572-1.52260.066551
27-0.250272-1.93860.028629
28-0.292786-2.26790.013474
29-0.319989-2.47860.008009
30-0.330872-2.56290.006453
31-0.359782-2.78690.003558
32-0.383851-2.97330.002119
33-0.392478-3.04010.001751
34-0.390873-3.02770.001814
35-0.375598-2.90940.002537
36-0.377645-2.92520.002426
37-0.394611-3.05660.00167
38-0.399774-3.09660.001487
39-0.401433-3.10950.001433
40-0.396505-3.07130.0016
41-0.389317-3.01560.001878
42-0.378574-2.93240.002378
43-0.364845-2.82610.003196
44-0.35003-2.71130.004364
45-0.322218-2.49590.007665
46-0.296859-2.29950.012487
47-0.283468-2.19570.015995
48-0.274834-2.12890.01869
49-0.262586-2.0340.023191
50-0.240885-1.86590.033474
51-0.238635-1.84850.034733
52-0.227965-1.76580.041258
53-0.212747-1.64790.052297
54-0.186763-1.44670.076598
55-0.158189-1.22530.11262
56-0.13504-1.0460.149875
57-0.110693-0.85740.197312
58-0.088802-0.68790.247097
59-0.051458-0.39860.345803
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9208427.13280
20.0392970.30440.380939
30.1243760.96340.169604
4-0.05513-0.4270.335441
50.0112670.08730.465373
6-0.070721-0.54780.292931
70.0174840.13540.446362
80.0072640.05630.477658
90.089420.69260.245601
100.1389131.0760.143114
11-0.177517-1.3750.087116
12-0.033405-0.25880.398356
13-0.085487-0.66220.255195
14-0.019168-0.14850.441232
15-0.198329-1.53630.064867
16-0.110476-0.85570.197771
170.0031410.02430.490336
18-0.047772-0.370.356328
19-0.017977-0.13920.44486
200.0226870.17570.430549
21-0.011459-0.08880.464785
22-0.097365-0.75420.226843
23-0.012477-0.09660.461666
240.015580.12070.452174
25-0.046-0.35630.361426
26-0.14123-1.0940.139172
27-0.087094-0.67460.251251
280.0183580.14220.4437
290.1049590.8130.209713
300.1186340.91890.180905
31-0.125152-0.96940.168113
320.0180010.13940.444787
330.0159270.12340.451113
34-0.00715-0.05540.478008
350.0680860.52740.299934
36-0.025181-0.19510.423005
37-0.08048-0.62340.267694
38-0.00309-0.02390.490493
390.0072720.05630.477634
400.041850.32420.37347
410.0810550.62780.266243
420.0164990.12780.449367
43-0.030707-0.23790.406401
44-0.072704-0.56320.28771
450.0217920.16880.43326
460.0068580.05310.478906
47-0.066608-0.51590.303895
48-0.085385-0.66140.255448
49-0.026272-0.20350.419716
500.0617040.4780.31721
51-0.073781-0.57150.284896
520.0728780.56450.287256
53-0.052841-0.40930.341886
540.0581770.45060.326937
55-0.074928-0.58040.281913
56-0.017812-0.1380.445361
570.036870.28560.388085
580.0143390.11110.455967
590.0842510.65260.258253
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.920842 & 7.1328 & 0 \tabularnewline
2 & 0.039297 & 0.3044 & 0.380939 \tabularnewline
3 & 0.124376 & 0.9634 & 0.169604 \tabularnewline
4 & -0.05513 & -0.427 & 0.335441 \tabularnewline
5 & 0.011267 & 0.0873 & 0.465373 \tabularnewline
6 & -0.070721 & -0.5478 & 0.292931 \tabularnewline
7 & 0.017484 & 0.1354 & 0.446362 \tabularnewline
8 & 0.007264 & 0.0563 & 0.477658 \tabularnewline
9 & 0.08942 & 0.6926 & 0.245601 \tabularnewline
10 & 0.138913 & 1.076 & 0.143114 \tabularnewline
11 & -0.177517 & -1.375 & 0.087116 \tabularnewline
12 & -0.033405 & -0.2588 & 0.398356 \tabularnewline
13 & -0.085487 & -0.6622 & 0.255195 \tabularnewline
14 & -0.019168 & -0.1485 & 0.441232 \tabularnewline
15 & -0.198329 & -1.5363 & 0.064867 \tabularnewline
16 & -0.110476 & -0.8557 & 0.197771 \tabularnewline
17 & 0.003141 & 0.0243 & 0.490336 \tabularnewline
18 & -0.047772 & -0.37 & 0.356328 \tabularnewline
19 & -0.017977 & -0.1392 & 0.44486 \tabularnewline
20 & 0.022687 & 0.1757 & 0.430549 \tabularnewline
21 & -0.011459 & -0.0888 & 0.464785 \tabularnewline
22 & -0.097365 & -0.7542 & 0.226843 \tabularnewline
23 & -0.012477 & -0.0966 & 0.461666 \tabularnewline
24 & 0.01558 & 0.1207 & 0.452174 \tabularnewline
25 & -0.046 & -0.3563 & 0.361426 \tabularnewline
26 & -0.14123 & -1.094 & 0.139172 \tabularnewline
27 & -0.087094 & -0.6746 & 0.251251 \tabularnewline
28 & 0.018358 & 0.1422 & 0.4437 \tabularnewline
29 & 0.104959 & 0.813 & 0.209713 \tabularnewline
30 & 0.118634 & 0.9189 & 0.180905 \tabularnewline
31 & -0.125152 & -0.9694 & 0.168113 \tabularnewline
32 & 0.018001 & 0.1394 & 0.444787 \tabularnewline
33 & 0.015927 & 0.1234 & 0.451113 \tabularnewline
34 & -0.00715 & -0.0554 & 0.478008 \tabularnewline
35 & 0.068086 & 0.5274 & 0.299934 \tabularnewline
36 & -0.025181 & -0.1951 & 0.423005 \tabularnewline
37 & -0.08048 & -0.6234 & 0.267694 \tabularnewline
38 & -0.00309 & -0.0239 & 0.490493 \tabularnewline
39 & 0.007272 & 0.0563 & 0.477634 \tabularnewline
40 & 0.04185 & 0.3242 & 0.37347 \tabularnewline
41 & 0.081055 & 0.6278 & 0.266243 \tabularnewline
42 & 0.016499 & 0.1278 & 0.449367 \tabularnewline
43 & -0.030707 & -0.2379 & 0.406401 \tabularnewline
44 & -0.072704 & -0.5632 & 0.28771 \tabularnewline
45 & 0.021792 & 0.1688 & 0.43326 \tabularnewline
46 & 0.006858 & 0.0531 & 0.478906 \tabularnewline
47 & -0.066608 & -0.5159 & 0.303895 \tabularnewline
48 & -0.085385 & -0.6614 & 0.255448 \tabularnewline
49 & -0.026272 & -0.2035 & 0.419716 \tabularnewline
50 & 0.061704 & 0.478 & 0.31721 \tabularnewline
51 & -0.073781 & -0.5715 & 0.284896 \tabularnewline
52 & 0.072878 & 0.5645 & 0.287256 \tabularnewline
53 & -0.052841 & -0.4093 & 0.341886 \tabularnewline
54 & 0.058177 & 0.4506 & 0.326937 \tabularnewline
55 & -0.074928 & -0.5804 & 0.281913 \tabularnewline
56 & -0.017812 & -0.138 & 0.445361 \tabularnewline
57 & 0.03687 & 0.2856 & 0.388085 \tabularnewline
58 & 0.014339 & 0.1111 & 0.455967 \tabularnewline
59 & 0.084251 & 0.6526 & 0.258253 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35685&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]0.920842[/C][C]7.1328[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.039297[/C][C]0.3044[/C][C]0.380939[/C][/ROW]
[ROW][C]3[/C][C]0.124376[/C][C]0.9634[/C][C]0.169604[/C][/ROW]
[ROW][C]4[/C][C]-0.05513[/C][C]-0.427[/C][C]0.335441[/C][/ROW]
[ROW][C]5[/C][C]0.011267[/C][C]0.0873[/C][C]0.465373[/C][/ROW]
[ROW][C]6[/C][C]-0.070721[/C][C]-0.5478[/C][C]0.292931[/C][/ROW]
[ROW][C]7[/C][C]0.017484[/C][C]0.1354[/C][C]0.446362[/C][/ROW]
[ROW][C]8[/C][C]0.007264[/C][C]0.0563[/C][C]0.477658[/C][/ROW]
[ROW][C]9[/C][C]0.08942[/C][C]0.6926[/C][C]0.245601[/C][/ROW]
[ROW][C]10[/C][C]0.138913[/C][C]1.076[/C][C]0.143114[/C][/ROW]
[ROW][C]11[/C][C]-0.177517[/C][C]-1.375[/C][C]0.087116[/C][/ROW]
[ROW][C]12[/C][C]-0.033405[/C][C]-0.2588[/C][C]0.398356[/C][/ROW]
[ROW][C]13[/C][C]-0.085487[/C][C]-0.6622[/C][C]0.255195[/C][/ROW]
[ROW][C]14[/C][C]-0.019168[/C][C]-0.1485[/C][C]0.441232[/C][/ROW]
[ROW][C]15[/C][C]-0.198329[/C][C]-1.5363[/C][C]0.064867[/C][/ROW]
[ROW][C]16[/C][C]-0.110476[/C][C]-0.8557[/C][C]0.197771[/C][/ROW]
[ROW][C]17[/C][C]0.003141[/C][C]0.0243[/C][C]0.490336[/C][/ROW]
[ROW][C]18[/C][C]-0.047772[/C][C]-0.37[/C][C]0.356328[/C][/ROW]
[ROW][C]19[/C][C]-0.017977[/C][C]-0.1392[/C][C]0.44486[/C][/ROW]
[ROW][C]20[/C][C]0.022687[/C][C]0.1757[/C][C]0.430549[/C][/ROW]
[ROW][C]21[/C][C]-0.011459[/C][C]-0.0888[/C][C]0.464785[/C][/ROW]
[ROW][C]22[/C][C]-0.097365[/C][C]-0.7542[/C][C]0.226843[/C][/ROW]
[ROW][C]23[/C][C]-0.012477[/C][C]-0.0966[/C][C]0.461666[/C][/ROW]
[ROW][C]24[/C][C]0.01558[/C][C]0.1207[/C][C]0.452174[/C][/ROW]
[ROW][C]25[/C][C]-0.046[/C][C]-0.3563[/C][C]0.361426[/C][/ROW]
[ROW][C]26[/C][C]-0.14123[/C][C]-1.094[/C][C]0.139172[/C][/ROW]
[ROW][C]27[/C][C]-0.087094[/C][C]-0.6746[/C][C]0.251251[/C][/ROW]
[ROW][C]28[/C][C]0.018358[/C][C]0.1422[/C][C]0.4437[/C][/ROW]
[ROW][C]29[/C][C]0.104959[/C][C]0.813[/C][C]0.209713[/C][/ROW]
[ROW][C]30[/C][C]0.118634[/C][C]0.9189[/C][C]0.180905[/C][/ROW]
[ROW][C]31[/C][C]-0.125152[/C][C]-0.9694[/C][C]0.168113[/C][/ROW]
[ROW][C]32[/C][C]0.018001[/C][C]0.1394[/C][C]0.444787[/C][/ROW]
[ROW][C]33[/C][C]0.015927[/C][C]0.1234[/C][C]0.451113[/C][/ROW]
[ROW][C]34[/C][C]-0.00715[/C][C]-0.0554[/C][C]0.478008[/C][/ROW]
[ROW][C]35[/C][C]0.068086[/C][C]0.5274[/C][C]0.299934[/C][/ROW]
[ROW][C]36[/C][C]-0.025181[/C][C]-0.1951[/C][C]0.423005[/C][/ROW]
[ROW][C]37[/C][C]-0.08048[/C][C]-0.6234[/C][C]0.267694[/C][/ROW]
[ROW][C]38[/C][C]-0.00309[/C][C]-0.0239[/C][C]0.490493[/C][/ROW]
[ROW][C]39[/C][C]0.007272[/C][C]0.0563[/C][C]0.477634[/C][/ROW]
[ROW][C]40[/C][C]0.04185[/C][C]0.3242[/C][C]0.37347[/C][/ROW]
[ROW][C]41[/C][C]0.081055[/C][C]0.6278[/C][C]0.266243[/C][/ROW]
[ROW][C]42[/C][C]0.016499[/C][C]0.1278[/C][C]0.449367[/C][/ROW]
[ROW][C]43[/C][C]-0.030707[/C][C]-0.2379[/C][C]0.406401[/C][/ROW]
[ROW][C]44[/C][C]-0.072704[/C][C]-0.5632[/C][C]0.28771[/C][/ROW]
[ROW][C]45[/C][C]0.021792[/C][C]0.1688[/C][C]0.43326[/C][/ROW]
[ROW][C]46[/C][C]0.006858[/C][C]0.0531[/C][C]0.478906[/C][/ROW]
[ROW][C]47[/C][C]-0.066608[/C][C]-0.5159[/C][C]0.303895[/C][/ROW]
[ROW][C]48[/C][C]-0.085385[/C][C]-0.6614[/C][C]0.255448[/C][/ROW]
[ROW][C]49[/C][C]-0.026272[/C][C]-0.2035[/C][C]0.419716[/C][/ROW]
[ROW][C]50[/C][C]0.061704[/C][C]0.478[/C][C]0.31721[/C][/ROW]
[ROW][C]51[/C][C]-0.073781[/C][C]-0.5715[/C][C]0.284896[/C][/ROW]
[ROW][C]52[/C][C]0.072878[/C][C]0.5645[/C][C]0.287256[/C][/ROW]
[ROW][C]53[/C][C]-0.052841[/C][C]-0.4093[/C][C]0.341886[/C][/ROW]
[ROW][C]54[/C][C]0.058177[/C][C]0.4506[/C][C]0.326937[/C][/ROW]
[ROW][C]55[/C][C]-0.074928[/C][C]-0.5804[/C][C]0.281913[/C][/ROW]
[ROW][C]56[/C][C]-0.017812[/C][C]-0.138[/C][C]0.445361[/C][/ROW]
[ROW][C]57[/C][C]0.03687[/C][C]0.2856[/C][C]0.388085[/C][/ROW]
[ROW][C]58[/C][C]0.014339[/C][C]0.1111[/C][C]0.455967[/C][/ROW]
[ROW][C]59[/C][C]0.084251[/C][C]0.6526[/C][C]0.258253[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35685&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35685&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
10.9208427.13280
20.0392970.30440.380939
30.1243760.96340.169604
4-0.05513-0.4270.335441
50.0112670.08730.465373
6-0.070721-0.54780.292931
70.0174840.13540.446362
80.0072640.05630.477658
90.089420.69260.245601
100.1389131.0760.143114
11-0.177517-1.3750.087116
12-0.033405-0.25880.398356
13-0.085487-0.66220.255195
14-0.019168-0.14850.441232
15-0.198329-1.53630.064867
16-0.110476-0.85570.197771
170.0031410.02430.490336
18-0.047772-0.370.356328
19-0.017977-0.13920.44486
200.0226870.17570.430549
21-0.011459-0.08880.464785
22-0.097365-0.75420.226843
23-0.012477-0.09660.461666
240.015580.12070.452174
25-0.046-0.35630.361426
26-0.14123-1.0940.139172
27-0.087094-0.67460.251251
280.0183580.14220.4437
290.1049590.8130.209713
300.1186340.91890.180905
31-0.125152-0.96940.168113
320.0180010.13940.444787
330.0159270.12340.451113
34-0.00715-0.05540.478008
350.0680860.52740.299934
36-0.025181-0.19510.423005
37-0.08048-0.62340.267694
38-0.00309-0.02390.490493
390.0072720.05630.477634
400.041850.32420.37347
410.0810550.62780.266243
420.0164990.12780.449367
43-0.030707-0.23790.406401
44-0.072704-0.56320.28771
450.0217920.16880.43326
460.0068580.05310.478906
47-0.066608-0.51590.303895
48-0.085385-0.66140.255448
49-0.026272-0.20350.419716
500.0617040.4780.31721
51-0.073781-0.57150.284896
520.0728780.56450.287256
53-0.052841-0.40930.341886
540.0581770.45060.326937
55-0.074928-0.58040.281913
56-0.017812-0.1380.445361
570.036870.28560.388085
580.0143390.11110.455967
590.0842510.65260.258253
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')