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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 computationSun, 21 Dec 2008 04:35:27 -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/t1229859449tshwc5jcbiq2og7.htm/, Retrieved Sun, 19 May 2024 08:46:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35512, Retrieved Sun, 19 May 2024 08:46:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [SMP inschrijvinge...] [2008-12-21 10:55:25] [8d78428855b119373cac369316c08983]
- RM    [Variance Reduction Matrix] [VRM inschrijvinge...] [2008-12-21 11:14:53] [8d78428855b119373cac369316c08983]
- RMP       [(Partial) Autocorrelation Function] [(P)ACF inschrijvi...] [2008-12-21 11:35:27] [d6e9f26c3644bfc30f06303d9993b878] [Current]
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Dataseries X:
11.514
31.514
27.071
29.462
26.105
22.397
23.843
21.705
18.089
20.764
25.316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738




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=35512&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=35512&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35512&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
1-0.303058-2.34750.011109
20.1541411.1940.118594
3-0.094606-0.73280.233261
4-0.000394-0.00310.498787
50.0883190.68410.248267
6-0.405498-3.1410.001307
70.1609681.24680.108649
8-0.090696-0.70250.242534
9-0.036373-0.28170.389554
100.0248460.19250.424017
11-0.235764-1.82620.036397
120.580764.49851.6e-05
13-0.260725-2.01960.023951
140.185731.43870.077722
15-0.114193-0.88450.189968
160.0398650.30880.379275
170.0699140.54150.295067
18-0.288957-2.23830.014464
190.1948641.50940.068221
20-0.162129-1.25580.10702
210.0101340.07850.468847
22-0.015639-0.12110.451993
23-0.144777-1.12140.133285
240.3688482.85710.002934
25-0.167167-1.29490.100163
260.1900991.47250.073056
27-0.085652-0.66350.25479
280.0662740.51340.304794
29-0.044158-0.3420.366757
30-0.114887-0.88990.188535
310.0605320.46890.320427
32-0.106974-0.82860.205303
33-0.004492-0.03480.48618
34-0.006302-0.04880.480615
35-0.050913-0.39440.347354
360.1507461.16770.123779
37-0.098381-0.76210.224506
380.171571.3290.094444
39-0.058168-0.45060.326963
400.0276480.21420.415573
41-0.041918-0.32470.373269
42-0.023096-0.17890.42931
430.0475350.36820.357009
44-0.028658-0.2220.41254
45-0.016827-0.13030.448367
46-0.021382-0.16560.434504
47-0.002095-0.01620.493554
48-0.029822-0.2310.40905
49-0.049274-0.38170.352026
500.0013560.01050.495828
510.0016330.01260.494976
520.0012470.00970.496164
530.0011680.0090.496405
540.0011590.0090.496433
550.0007370.00570.497733
560.000580.00450.498216
570.0007330.00570.497744
580.0010170.00790.49687
590.0005540.00430.498296
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.303058 & -2.3475 & 0.011109 \tabularnewline
2 & 0.154141 & 1.194 & 0.118594 \tabularnewline
3 & -0.094606 & -0.7328 & 0.233261 \tabularnewline
4 & -0.000394 & -0.0031 & 0.498787 \tabularnewline
5 & 0.088319 & 0.6841 & 0.248267 \tabularnewline
6 & -0.405498 & -3.141 & 0.001307 \tabularnewline
7 & 0.160968 & 1.2468 & 0.108649 \tabularnewline
8 & -0.090696 & -0.7025 & 0.242534 \tabularnewline
9 & -0.036373 & -0.2817 & 0.389554 \tabularnewline
10 & 0.024846 & 0.1925 & 0.424017 \tabularnewline
11 & -0.235764 & -1.8262 & 0.036397 \tabularnewline
12 & 0.58076 & 4.4985 & 1.6e-05 \tabularnewline
13 & -0.260725 & -2.0196 & 0.023951 \tabularnewline
14 & 0.18573 & 1.4387 & 0.077722 \tabularnewline
15 & -0.114193 & -0.8845 & 0.189968 \tabularnewline
16 & 0.039865 & 0.3088 & 0.379275 \tabularnewline
17 & 0.069914 & 0.5415 & 0.295067 \tabularnewline
18 & -0.288957 & -2.2383 & 0.014464 \tabularnewline
19 & 0.194864 & 1.5094 & 0.068221 \tabularnewline
20 & -0.162129 & -1.2558 & 0.10702 \tabularnewline
21 & 0.010134 & 0.0785 & 0.468847 \tabularnewline
22 & -0.015639 & -0.1211 & 0.451993 \tabularnewline
23 & -0.144777 & -1.1214 & 0.133285 \tabularnewline
24 & 0.368848 & 2.8571 & 0.002934 \tabularnewline
25 & -0.167167 & -1.2949 & 0.100163 \tabularnewline
26 & 0.190099 & 1.4725 & 0.073056 \tabularnewline
27 & -0.085652 & -0.6635 & 0.25479 \tabularnewline
28 & 0.066274 & 0.5134 & 0.304794 \tabularnewline
29 & -0.044158 & -0.342 & 0.366757 \tabularnewline
30 & -0.114887 & -0.8899 & 0.188535 \tabularnewline
31 & 0.060532 & 0.4689 & 0.320427 \tabularnewline
32 & -0.106974 & -0.8286 & 0.205303 \tabularnewline
33 & -0.004492 & -0.0348 & 0.48618 \tabularnewline
34 & -0.006302 & -0.0488 & 0.480615 \tabularnewline
35 & -0.050913 & -0.3944 & 0.347354 \tabularnewline
36 & 0.150746 & 1.1677 & 0.123779 \tabularnewline
37 & -0.098381 & -0.7621 & 0.224506 \tabularnewline
38 & 0.17157 & 1.329 & 0.094444 \tabularnewline
39 & -0.058168 & -0.4506 & 0.326963 \tabularnewline
40 & 0.027648 & 0.2142 & 0.415573 \tabularnewline
41 & -0.041918 & -0.3247 & 0.373269 \tabularnewline
42 & -0.023096 & -0.1789 & 0.42931 \tabularnewline
43 & 0.047535 & 0.3682 & 0.357009 \tabularnewline
44 & -0.028658 & -0.222 & 0.41254 \tabularnewline
45 & -0.016827 & -0.1303 & 0.448367 \tabularnewline
46 & -0.021382 & -0.1656 & 0.434504 \tabularnewline
47 & -0.002095 & -0.0162 & 0.493554 \tabularnewline
48 & -0.029822 & -0.231 & 0.40905 \tabularnewline
49 & -0.049274 & -0.3817 & 0.352026 \tabularnewline
50 & 0.001356 & 0.0105 & 0.495828 \tabularnewline
51 & 0.001633 & 0.0126 & 0.494976 \tabularnewline
52 & 0.001247 & 0.0097 & 0.496164 \tabularnewline
53 & 0.001168 & 0.009 & 0.496405 \tabularnewline
54 & 0.001159 & 0.009 & 0.496433 \tabularnewline
55 & 0.000737 & 0.0057 & 0.497733 \tabularnewline
56 & 0.00058 & 0.0045 & 0.498216 \tabularnewline
57 & 0.000733 & 0.0057 & 0.497744 \tabularnewline
58 & 0.001017 & 0.0079 & 0.49687 \tabularnewline
59 & 0.000554 & 0.0043 & 0.498296 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35512&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]-0.303058[/C][C]-2.3475[/C][C]0.011109[/C][/ROW]
[ROW][C]2[/C][C]0.154141[/C][C]1.194[/C][C]0.118594[/C][/ROW]
[ROW][C]3[/C][C]-0.094606[/C][C]-0.7328[/C][C]0.233261[/C][/ROW]
[ROW][C]4[/C][C]-0.000394[/C][C]-0.0031[/C][C]0.498787[/C][/ROW]
[ROW][C]5[/C][C]0.088319[/C][C]0.6841[/C][C]0.248267[/C][/ROW]
[ROW][C]6[/C][C]-0.405498[/C][C]-3.141[/C][C]0.001307[/C][/ROW]
[ROW][C]7[/C][C]0.160968[/C][C]1.2468[/C][C]0.108649[/C][/ROW]
[ROW][C]8[/C][C]-0.090696[/C][C]-0.7025[/C][C]0.242534[/C][/ROW]
[ROW][C]9[/C][C]-0.036373[/C][C]-0.2817[/C][C]0.389554[/C][/ROW]
[ROW][C]10[/C][C]0.024846[/C][C]0.1925[/C][C]0.424017[/C][/ROW]
[ROW][C]11[/C][C]-0.235764[/C][C]-1.8262[/C][C]0.036397[/C][/ROW]
[ROW][C]12[/C][C]0.58076[/C][C]4.4985[/C][C]1.6e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.260725[/C][C]-2.0196[/C][C]0.023951[/C][/ROW]
[ROW][C]14[/C][C]0.18573[/C][C]1.4387[/C][C]0.077722[/C][/ROW]
[ROW][C]15[/C][C]-0.114193[/C][C]-0.8845[/C][C]0.189968[/C][/ROW]
[ROW][C]16[/C][C]0.039865[/C][C]0.3088[/C][C]0.379275[/C][/ROW]
[ROW][C]17[/C][C]0.069914[/C][C]0.5415[/C][C]0.295067[/C][/ROW]
[ROW][C]18[/C][C]-0.288957[/C][C]-2.2383[/C][C]0.014464[/C][/ROW]
[ROW][C]19[/C][C]0.194864[/C][C]1.5094[/C][C]0.068221[/C][/ROW]
[ROW][C]20[/C][C]-0.162129[/C][C]-1.2558[/C][C]0.10702[/C][/ROW]
[ROW][C]21[/C][C]0.010134[/C][C]0.0785[/C][C]0.468847[/C][/ROW]
[ROW][C]22[/C][C]-0.015639[/C][C]-0.1211[/C][C]0.451993[/C][/ROW]
[ROW][C]23[/C][C]-0.144777[/C][C]-1.1214[/C][C]0.133285[/C][/ROW]
[ROW][C]24[/C][C]0.368848[/C][C]2.8571[/C][C]0.002934[/C][/ROW]
[ROW][C]25[/C][C]-0.167167[/C][C]-1.2949[/C][C]0.100163[/C][/ROW]
[ROW][C]26[/C][C]0.190099[/C][C]1.4725[/C][C]0.073056[/C][/ROW]
[ROW][C]27[/C][C]-0.085652[/C][C]-0.6635[/C][C]0.25479[/C][/ROW]
[ROW][C]28[/C][C]0.066274[/C][C]0.5134[/C][C]0.304794[/C][/ROW]
[ROW][C]29[/C][C]-0.044158[/C][C]-0.342[/C][C]0.366757[/C][/ROW]
[ROW][C]30[/C][C]-0.114887[/C][C]-0.8899[/C][C]0.188535[/C][/ROW]
[ROW][C]31[/C][C]0.060532[/C][C]0.4689[/C][C]0.320427[/C][/ROW]
[ROW][C]32[/C][C]-0.106974[/C][C]-0.8286[/C][C]0.205303[/C][/ROW]
[ROW][C]33[/C][C]-0.004492[/C][C]-0.0348[/C][C]0.48618[/C][/ROW]
[ROW][C]34[/C][C]-0.006302[/C][C]-0.0488[/C][C]0.480615[/C][/ROW]
[ROW][C]35[/C][C]-0.050913[/C][C]-0.3944[/C][C]0.347354[/C][/ROW]
[ROW][C]36[/C][C]0.150746[/C][C]1.1677[/C][C]0.123779[/C][/ROW]
[ROW][C]37[/C][C]-0.098381[/C][C]-0.7621[/C][C]0.224506[/C][/ROW]
[ROW][C]38[/C][C]0.17157[/C][C]1.329[/C][C]0.094444[/C][/ROW]
[ROW][C]39[/C][C]-0.058168[/C][C]-0.4506[/C][C]0.326963[/C][/ROW]
[ROW][C]40[/C][C]0.027648[/C][C]0.2142[/C][C]0.415573[/C][/ROW]
[ROW][C]41[/C][C]-0.041918[/C][C]-0.3247[/C][C]0.373269[/C][/ROW]
[ROW][C]42[/C][C]-0.023096[/C][C]-0.1789[/C][C]0.42931[/C][/ROW]
[ROW][C]43[/C][C]0.047535[/C][C]0.3682[/C][C]0.357009[/C][/ROW]
[ROW][C]44[/C][C]-0.028658[/C][C]-0.222[/C][C]0.41254[/C][/ROW]
[ROW][C]45[/C][C]-0.016827[/C][C]-0.1303[/C][C]0.448367[/C][/ROW]
[ROW][C]46[/C][C]-0.021382[/C][C]-0.1656[/C][C]0.434504[/C][/ROW]
[ROW][C]47[/C][C]-0.002095[/C][C]-0.0162[/C][C]0.493554[/C][/ROW]
[ROW][C]48[/C][C]-0.029822[/C][C]-0.231[/C][C]0.40905[/C][/ROW]
[ROW][C]49[/C][C]-0.049274[/C][C]-0.3817[/C][C]0.352026[/C][/ROW]
[ROW][C]50[/C][C]0.001356[/C][C]0.0105[/C][C]0.495828[/C][/ROW]
[ROW][C]51[/C][C]0.001633[/C][C]0.0126[/C][C]0.494976[/C][/ROW]
[ROW][C]52[/C][C]0.001247[/C][C]0.0097[/C][C]0.496164[/C][/ROW]
[ROW][C]53[/C][C]0.001168[/C][C]0.009[/C][C]0.496405[/C][/ROW]
[ROW][C]54[/C][C]0.001159[/C][C]0.009[/C][C]0.496433[/C][/ROW]
[ROW][C]55[/C][C]0.000737[/C][C]0.0057[/C][C]0.497733[/C][/ROW]
[ROW][C]56[/C][C]0.00058[/C][C]0.0045[/C][C]0.498216[/C][/ROW]
[ROW][C]57[/C][C]0.000733[/C][C]0.0057[/C][C]0.497744[/C][/ROW]
[ROW][C]58[/C][C]0.001017[/C][C]0.0079[/C][C]0.49687[/C][/ROW]
[ROW][C]59[/C][C]0.000554[/C][C]0.0043[/C][C]0.498296[/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=35512&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35512&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
1-0.303058-2.34750.011109
20.1541411.1940.118594
3-0.094606-0.73280.233261
4-0.000394-0.00310.498787
50.0883190.68410.248267
6-0.405498-3.1410.001307
70.1609681.24680.108649
8-0.090696-0.70250.242534
9-0.036373-0.28170.389554
100.0248460.19250.424017
11-0.235764-1.82620.036397
120.580764.49851.6e-05
13-0.260725-2.01960.023951
140.185731.43870.077722
15-0.114193-0.88450.189968
160.0398650.30880.379275
170.0699140.54150.295067
18-0.288957-2.23830.014464
190.1948641.50940.068221
20-0.162129-1.25580.10702
210.0101340.07850.468847
22-0.015639-0.12110.451993
23-0.144777-1.12140.133285
240.3688482.85710.002934
25-0.167167-1.29490.100163
260.1900991.47250.073056
27-0.085652-0.66350.25479
280.0662740.51340.304794
29-0.044158-0.3420.366757
30-0.114887-0.88990.188535
310.0605320.46890.320427
32-0.106974-0.82860.205303
33-0.004492-0.03480.48618
34-0.006302-0.04880.480615
35-0.050913-0.39440.347354
360.1507461.16770.123779
37-0.098381-0.76210.224506
380.171571.3290.094444
39-0.058168-0.45060.326963
400.0276480.21420.415573
41-0.041918-0.32470.373269
42-0.023096-0.17890.42931
430.0475350.36820.357009
44-0.028658-0.2220.41254
45-0.016827-0.13030.448367
46-0.021382-0.16560.434504
47-0.002095-0.01620.493554
48-0.029822-0.2310.40905
49-0.049274-0.38170.352026
500.0013560.01050.495828
510.0016330.01260.494976
520.0012470.00970.496164
530.0011680.0090.496405
540.0011590.0090.496433
550.0007370.00570.497733
560.000580.00450.498216
570.0007330.00570.497744
580.0010170.00790.49687
590.0005540.00430.498296
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.303058-2.34750.011109
20.0685970.53140.298569
3-0.033531-0.25970.39798
4-0.051124-0.3960.346754
50.0954680.73950.231245
6-0.396106-3.06820.001615
7-0.077983-0.60410.274042
80.028690.22220.412445
9-0.162492-1.25870.106515
10-0.014634-0.11340.455064
11-0.252978-1.95960.027349
120.4121943.19280.001122
130.028630.22180.412625
14-0.01834-0.14210.443755
15-0.03468-0.26860.394569
16-0.061188-0.4740.318625
17-0.011882-0.0920.463487
180.0251460.19480.423112
190.0365120.28280.389145
20-0.078025-0.60440.273936
21-0.084715-0.65620.257102
220.0048770.03780.484995
230.0074670.05780.477033
240.0452710.35070.363533
250.0953870.73890.231434
26-0.009383-0.07270.471152
270.0232120.17980.428957
280.0378420.29310.38522
29-0.153853-1.19170.119028
300.1178460.91280.182493
31-0.119741-0.92750.178689
320.0045320.03510.486057
330.0057680.04470.482255
340.0042330.03280.486976
350.0640010.49570.310942
36-0.081951-0.63480.263989
37-0.050432-0.39060.348722
380.057090.44220.32996
390.0004590.00360.498587
40-0.055984-0.43360.333049
410.0230450.17850.429465
42-0.043538-0.33720.368555
430.076180.59010.278674
440.096270.74570.229379
450.0213690.16550.434544
46-0.069134-0.53550.297138
47-0.006024-0.04670.48147
48-0.087378-0.67680.250558
49-0.066795-0.51740.303392
50-0.133072-1.03080.153393
51-0.075454-0.58450.280549
52-0.025339-0.19630.422529
530.0802330.62150.268318
54-0.050272-0.38940.349177
55-0.064808-0.5020.308752
56-0.089852-0.6960.244562
57-0.007367-0.05710.477341
580.0179680.13920.444886
59-0.026751-0.20720.418272
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.303058 & -2.3475 & 0.011109 \tabularnewline
2 & 0.068597 & 0.5314 & 0.298569 \tabularnewline
3 & -0.033531 & -0.2597 & 0.39798 \tabularnewline
4 & -0.051124 & -0.396 & 0.346754 \tabularnewline
5 & 0.095468 & 0.7395 & 0.231245 \tabularnewline
6 & -0.396106 & -3.0682 & 0.001615 \tabularnewline
7 & -0.077983 & -0.6041 & 0.274042 \tabularnewline
8 & 0.02869 & 0.2222 & 0.412445 \tabularnewline
9 & -0.162492 & -1.2587 & 0.106515 \tabularnewline
10 & -0.014634 & -0.1134 & 0.455064 \tabularnewline
11 & -0.252978 & -1.9596 & 0.027349 \tabularnewline
12 & 0.412194 & 3.1928 & 0.001122 \tabularnewline
13 & 0.02863 & 0.2218 & 0.412625 \tabularnewline
14 & -0.01834 & -0.1421 & 0.443755 \tabularnewline
15 & -0.03468 & -0.2686 & 0.394569 \tabularnewline
16 & -0.061188 & -0.474 & 0.318625 \tabularnewline
17 & -0.011882 & -0.092 & 0.463487 \tabularnewline
18 & 0.025146 & 0.1948 & 0.423112 \tabularnewline
19 & 0.036512 & 0.2828 & 0.389145 \tabularnewline
20 & -0.078025 & -0.6044 & 0.273936 \tabularnewline
21 & -0.084715 & -0.6562 & 0.257102 \tabularnewline
22 & 0.004877 & 0.0378 & 0.484995 \tabularnewline
23 & 0.007467 & 0.0578 & 0.477033 \tabularnewline
24 & 0.045271 & 0.3507 & 0.363533 \tabularnewline
25 & 0.095387 & 0.7389 & 0.231434 \tabularnewline
26 & -0.009383 & -0.0727 & 0.471152 \tabularnewline
27 & 0.023212 & 0.1798 & 0.428957 \tabularnewline
28 & 0.037842 & 0.2931 & 0.38522 \tabularnewline
29 & -0.153853 & -1.1917 & 0.119028 \tabularnewline
30 & 0.117846 & 0.9128 & 0.182493 \tabularnewline
31 & -0.119741 & -0.9275 & 0.178689 \tabularnewline
32 & 0.004532 & 0.0351 & 0.486057 \tabularnewline
33 & 0.005768 & 0.0447 & 0.482255 \tabularnewline
34 & 0.004233 & 0.0328 & 0.486976 \tabularnewline
35 & 0.064001 & 0.4957 & 0.310942 \tabularnewline
36 & -0.081951 & -0.6348 & 0.263989 \tabularnewline
37 & -0.050432 & -0.3906 & 0.348722 \tabularnewline
38 & 0.05709 & 0.4422 & 0.32996 \tabularnewline
39 & 0.000459 & 0.0036 & 0.498587 \tabularnewline
40 & -0.055984 & -0.4336 & 0.333049 \tabularnewline
41 & 0.023045 & 0.1785 & 0.429465 \tabularnewline
42 & -0.043538 & -0.3372 & 0.368555 \tabularnewline
43 & 0.07618 & 0.5901 & 0.278674 \tabularnewline
44 & 0.09627 & 0.7457 & 0.229379 \tabularnewline
45 & 0.021369 & 0.1655 & 0.434544 \tabularnewline
46 & -0.069134 & -0.5355 & 0.297138 \tabularnewline
47 & -0.006024 & -0.0467 & 0.48147 \tabularnewline
48 & -0.087378 & -0.6768 & 0.250558 \tabularnewline
49 & -0.066795 & -0.5174 & 0.303392 \tabularnewline
50 & -0.133072 & -1.0308 & 0.153393 \tabularnewline
51 & -0.075454 & -0.5845 & 0.280549 \tabularnewline
52 & -0.025339 & -0.1963 & 0.422529 \tabularnewline
53 & 0.080233 & 0.6215 & 0.268318 \tabularnewline
54 & -0.050272 & -0.3894 & 0.349177 \tabularnewline
55 & -0.064808 & -0.502 & 0.308752 \tabularnewline
56 & -0.089852 & -0.696 & 0.244562 \tabularnewline
57 & -0.007367 & -0.0571 & 0.477341 \tabularnewline
58 & 0.017968 & 0.1392 & 0.444886 \tabularnewline
59 & -0.026751 & -0.2072 & 0.418272 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35512&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]-0.303058[/C][C]-2.3475[/C][C]0.011109[/C][/ROW]
[ROW][C]2[/C][C]0.068597[/C][C]0.5314[/C][C]0.298569[/C][/ROW]
[ROW][C]3[/C][C]-0.033531[/C][C]-0.2597[/C][C]0.39798[/C][/ROW]
[ROW][C]4[/C][C]-0.051124[/C][C]-0.396[/C][C]0.346754[/C][/ROW]
[ROW][C]5[/C][C]0.095468[/C][C]0.7395[/C][C]0.231245[/C][/ROW]
[ROW][C]6[/C][C]-0.396106[/C][C]-3.0682[/C][C]0.001615[/C][/ROW]
[ROW][C]7[/C][C]-0.077983[/C][C]-0.6041[/C][C]0.274042[/C][/ROW]
[ROW][C]8[/C][C]0.02869[/C][C]0.2222[/C][C]0.412445[/C][/ROW]
[ROW][C]9[/C][C]-0.162492[/C][C]-1.2587[/C][C]0.106515[/C][/ROW]
[ROW][C]10[/C][C]-0.014634[/C][C]-0.1134[/C][C]0.455064[/C][/ROW]
[ROW][C]11[/C][C]-0.252978[/C][C]-1.9596[/C][C]0.027349[/C][/ROW]
[ROW][C]12[/C][C]0.412194[/C][C]3.1928[/C][C]0.001122[/C][/ROW]
[ROW][C]13[/C][C]0.02863[/C][C]0.2218[/C][C]0.412625[/C][/ROW]
[ROW][C]14[/C][C]-0.01834[/C][C]-0.1421[/C][C]0.443755[/C][/ROW]
[ROW][C]15[/C][C]-0.03468[/C][C]-0.2686[/C][C]0.394569[/C][/ROW]
[ROW][C]16[/C][C]-0.061188[/C][C]-0.474[/C][C]0.318625[/C][/ROW]
[ROW][C]17[/C][C]-0.011882[/C][C]-0.092[/C][C]0.463487[/C][/ROW]
[ROW][C]18[/C][C]0.025146[/C][C]0.1948[/C][C]0.423112[/C][/ROW]
[ROW][C]19[/C][C]0.036512[/C][C]0.2828[/C][C]0.389145[/C][/ROW]
[ROW][C]20[/C][C]-0.078025[/C][C]-0.6044[/C][C]0.273936[/C][/ROW]
[ROW][C]21[/C][C]-0.084715[/C][C]-0.6562[/C][C]0.257102[/C][/ROW]
[ROW][C]22[/C][C]0.004877[/C][C]0.0378[/C][C]0.484995[/C][/ROW]
[ROW][C]23[/C][C]0.007467[/C][C]0.0578[/C][C]0.477033[/C][/ROW]
[ROW][C]24[/C][C]0.045271[/C][C]0.3507[/C][C]0.363533[/C][/ROW]
[ROW][C]25[/C][C]0.095387[/C][C]0.7389[/C][C]0.231434[/C][/ROW]
[ROW][C]26[/C][C]-0.009383[/C][C]-0.0727[/C][C]0.471152[/C][/ROW]
[ROW][C]27[/C][C]0.023212[/C][C]0.1798[/C][C]0.428957[/C][/ROW]
[ROW][C]28[/C][C]0.037842[/C][C]0.2931[/C][C]0.38522[/C][/ROW]
[ROW][C]29[/C][C]-0.153853[/C][C]-1.1917[/C][C]0.119028[/C][/ROW]
[ROW][C]30[/C][C]0.117846[/C][C]0.9128[/C][C]0.182493[/C][/ROW]
[ROW][C]31[/C][C]-0.119741[/C][C]-0.9275[/C][C]0.178689[/C][/ROW]
[ROW][C]32[/C][C]0.004532[/C][C]0.0351[/C][C]0.486057[/C][/ROW]
[ROW][C]33[/C][C]0.005768[/C][C]0.0447[/C][C]0.482255[/C][/ROW]
[ROW][C]34[/C][C]0.004233[/C][C]0.0328[/C][C]0.486976[/C][/ROW]
[ROW][C]35[/C][C]0.064001[/C][C]0.4957[/C][C]0.310942[/C][/ROW]
[ROW][C]36[/C][C]-0.081951[/C][C]-0.6348[/C][C]0.263989[/C][/ROW]
[ROW][C]37[/C][C]-0.050432[/C][C]-0.3906[/C][C]0.348722[/C][/ROW]
[ROW][C]38[/C][C]0.05709[/C][C]0.4422[/C][C]0.32996[/C][/ROW]
[ROW][C]39[/C][C]0.000459[/C][C]0.0036[/C][C]0.498587[/C][/ROW]
[ROW][C]40[/C][C]-0.055984[/C][C]-0.4336[/C][C]0.333049[/C][/ROW]
[ROW][C]41[/C][C]0.023045[/C][C]0.1785[/C][C]0.429465[/C][/ROW]
[ROW][C]42[/C][C]-0.043538[/C][C]-0.3372[/C][C]0.368555[/C][/ROW]
[ROW][C]43[/C][C]0.07618[/C][C]0.5901[/C][C]0.278674[/C][/ROW]
[ROW][C]44[/C][C]0.09627[/C][C]0.7457[/C][C]0.229379[/C][/ROW]
[ROW][C]45[/C][C]0.021369[/C][C]0.1655[/C][C]0.434544[/C][/ROW]
[ROW][C]46[/C][C]-0.069134[/C][C]-0.5355[/C][C]0.297138[/C][/ROW]
[ROW][C]47[/C][C]-0.006024[/C][C]-0.0467[/C][C]0.48147[/C][/ROW]
[ROW][C]48[/C][C]-0.087378[/C][C]-0.6768[/C][C]0.250558[/C][/ROW]
[ROW][C]49[/C][C]-0.066795[/C][C]-0.5174[/C][C]0.303392[/C][/ROW]
[ROW][C]50[/C][C]-0.133072[/C][C]-1.0308[/C][C]0.153393[/C][/ROW]
[ROW][C]51[/C][C]-0.075454[/C][C]-0.5845[/C][C]0.280549[/C][/ROW]
[ROW][C]52[/C][C]-0.025339[/C][C]-0.1963[/C][C]0.422529[/C][/ROW]
[ROW][C]53[/C][C]0.080233[/C][C]0.6215[/C][C]0.268318[/C][/ROW]
[ROW][C]54[/C][C]-0.050272[/C][C]-0.3894[/C][C]0.349177[/C][/ROW]
[ROW][C]55[/C][C]-0.064808[/C][C]-0.502[/C][C]0.308752[/C][/ROW]
[ROW][C]56[/C][C]-0.089852[/C][C]-0.696[/C][C]0.244562[/C][/ROW]
[ROW][C]57[/C][C]-0.007367[/C][C]-0.0571[/C][C]0.477341[/C][/ROW]
[ROW][C]58[/C][C]0.017968[/C][C]0.1392[/C][C]0.444886[/C][/ROW]
[ROW][C]59[/C][C]-0.026751[/C][C]-0.2072[/C][C]0.418272[/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=35512&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35512&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
1-0.303058-2.34750.011109
20.0685970.53140.298569
3-0.033531-0.25970.39798
4-0.051124-0.3960.346754
50.0954680.73950.231245
6-0.396106-3.06820.001615
7-0.077983-0.60410.274042
80.028690.22220.412445
9-0.162492-1.25870.106515
10-0.014634-0.11340.455064
11-0.252978-1.95960.027349
120.4121943.19280.001122
130.028630.22180.412625
14-0.01834-0.14210.443755
15-0.03468-0.26860.394569
16-0.061188-0.4740.318625
17-0.011882-0.0920.463487
180.0251460.19480.423112
190.0365120.28280.389145
20-0.078025-0.60440.273936
21-0.084715-0.65620.257102
220.0048770.03780.484995
230.0074670.05780.477033
240.0452710.35070.363533
250.0953870.73890.231434
26-0.009383-0.07270.471152
270.0232120.17980.428957
280.0378420.29310.38522
29-0.153853-1.19170.119028
300.1178460.91280.182493
31-0.119741-0.92750.178689
320.0045320.03510.486057
330.0057680.04470.482255
340.0042330.03280.486976
350.0640010.49570.310942
36-0.081951-0.63480.263989
37-0.050432-0.39060.348722
380.057090.44220.32996
390.0004590.00360.498587
40-0.055984-0.43360.333049
410.0230450.17850.429465
42-0.043538-0.33720.368555
430.076180.59010.278674
440.096270.74570.229379
450.0213690.16550.434544
46-0.069134-0.53550.297138
47-0.006024-0.04670.48147
48-0.087378-0.67680.250558
49-0.066795-0.51740.303392
50-0.133072-1.03080.153393
51-0.075454-0.58450.280549
52-0.025339-0.19630.422529
530.0802330.62150.268318
54-0.050272-0.38940.349177
55-0.064808-0.5020.308752
56-0.089852-0.6960.244562
57-0.007367-0.05710.477341
580.0179680.13920.444886
59-0.026751-0.20720.418272
60NANANA



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