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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 09 Dec 2008 06:32:11 -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/09/t1228829634m26h663ls7ns6u2.htm/, Retrieved Sat, 18 May 2024 06:14:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31373, Retrieved Sat, 18 May 2024 06:14:26 +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] [] [2008-12-09 13:32:11] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
108.9
110.5
111.0
110.7
110.0
111.4
107.7
110.4
110.5
106.4
107.5
108.8
107.1
107.9
107.2
106.3
106.7
105.4
109.4
106.7
105.2
107.0
105.4
106.1
105.8
104.2
102.7
102.7
104.9
102.3
104.0
101.2
102.2
101.4
101.1
97.2
99.7
99.4
98.0
103.1
99.4
100.8
96.4
99.7
100.9
101.3
102.6
105.6
107.2
104.0
108.7
104.9
105.3
105.0
106.1
103.7
102.1
97.2
99.5
102.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31373&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31373&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31373&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8028286.21870
20.7506855.81480
30.6516745.04782e-06
40.5728114.4372e-05
50.5081253.93590.000109
60.44653.45860.000503
70.3917363.03440.00178
80.3006412.32880.011629
90.2737472.12040.019056
100.2180561.68910.0482
110.2402381.86090.033832
120.148911.15350.12665
130.1570751.21670.114241
140.1347011.04340.150476
150.1243410.96310.16967
160.0987580.7650.223642
170.0334610.25920.398189
180.0001330.0010.499592
19-0.053075-0.41110.341225
20-0.035081-0.27170.39338
21-0.076168-0.590.278705
22-0.098932-0.76630.223245
23-0.135887-1.05260.148378
24-0.211334-1.6370.053434
25-0.212975-1.64970.052116
26-0.217445-1.68430.048658
27-0.256135-1.9840.025917
28-0.268917-2.0830.020759
29-0.273124-2.11560.019269
30-0.300746-2.32960.011606
31-0.300525-2.32790.011655
32-0.29248-2.26550.013551
33-0.338265-2.62020.005558
34-0.334706-2.59260.005973
35-0.334489-2.59090.006
36-0.28095-2.17620.016743
37-0.272981-2.11450.019318
38-0.260457-2.01750.024062
39-0.235191-1.82180.036737
40-0.204114-1.58110.059561
41-0.17693-1.37050.08782
42-0.127009-0.98380.164581
43-0.073525-0.56950.285564
44-0.069409-0.53760.296406
45-0.026662-0.20650.41854
46-0.013566-0.10510.458331
47-0.001211-0.00940.496275
48-0.010962-0.08490.466306
49-0.041341-0.32020.374954
50-0.065024-0.50370.308167
51-0.078408-0.60730.272956
52-0.092901-0.71960.23728
53-0.104633-0.81050.210432
54-0.114616-0.88780.189094
55-0.12265-0.950.172952
56-0.112338-0.87020.193838
57-0.083881-0.64970.259171
58-0.036892-0.28580.388021
59-0.008487-0.06570.473902
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.802828 & 6.2187 & 0 \tabularnewline
2 & 0.750685 & 5.8148 & 0 \tabularnewline
3 & 0.651674 & 5.0478 & 2e-06 \tabularnewline
4 & 0.572811 & 4.437 & 2e-05 \tabularnewline
5 & 0.508125 & 3.9359 & 0.000109 \tabularnewline
6 & 0.4465 & 3.4586 & 0.000503 \tabularnewline
7 & 0.391736 & 3.0344 & 0.00178 \tabularnewline
8 & 0.300641 & 2.3288 & 0.011629 \tabularnewline
9 & 0.273747 & 2.1204 & 0.019056 \tabularnewline
10 & 0.218056 & 1.6891 & 0.0482 \tabularnewline
11 & 0.240238 & 1.8609 & 0.033832 \tabularnewline
12 & 0.14891 & 1.1535 & 0.12665 \tabularnewline
13 & 0.157075 & 1.2167 & 0.114241 \tabularnewline
14 & 0.134701 & 1.0434 & 0.150476 \tabularnewline
15 & 0.124341 & 0.9631 & 0.16967 \tabularnewline
16 & 0.098758 & 0.765 & 0.223642 \tabularnewline
17 & 0.033461 & 0.2592 & 0.398189 \tabularnewline
18 & 0.000133 & 0.001 & 0.499592 \tabularnewline
19 & -0.053075 & -0.4111 & 0.341225 \tabularnewline
20 & -0.035081 & -0.2717 & 0.39338 \tabularnewline
21 & -0.076168 & -0.59 & 0.278705 \tabularnewline
22 & -0.098932 & -0.7663 & 0.223245 \tabularnewline
23 & -0.135887 & -1.0526 & 0.148378 \tabularnewline
24 & -0.211334 & -1.637 & 0.053434 \tabularnewline
25 & -0.212975 & -1.6497 & 0.052116 \tabularnewline
26 & -0.217445 & -1.6843 & 0.048658 \tabularnewline
27 & -0.256135 & -1.984 & 0.025917 \tabularnewline
28 & -0.268917 & -2.083 & 0.020759 \tabularnewline
29 & -0.273124 & -2.1156 & 0.019269 \tabularnewline
30 & -0.300746 & -2.3296 & 0.011606 \tabularnewline
31 & -0.300525 & -2.3279 & 0.011655 \tabularnewline
32 & -0.29248 & -2.2655 & 0.013551 \tabularnewline
33 & -0.338265 & -2.6202 & 0.005558 \tabularnewline
34 & -0.334706 & -2.5926 & 0.005973 \tabularnewline
35 & -0.334489 & -2.5909 & 0.006 \tabularnewline
36 & -0.28095 & -2.1762 & 0.016743 \tabularnewline
37 & -0.272981 & -2.1145 & 0.019318 \tabularnewline
38 & -0.260457 & -2.0175 & 0.024062 \tabularnewline
39 & -0.235191 & -1.8218 & 0.036737 \tabularnewline
40 & -0.204114 & -1.5811 & 0.059561 \tabularnewline
41 & -0.17693 & -1.3705 & 0.08782 \tabularnewline
42 & -0.127009 & -0.9838 & 0.164581 \tabularnewline
43 & -0.073525 & -0.5695 & 0.285564 \tabularnewline
44 & -0.069409 & -0.5376 & 0.296406 \tabularnewline
45 & -0.026662 & -0.2065 & 0.41854 \tabularnewline
46 & -0.013566 & -0.1051 & 0.458331 \tabularnewline
47 & -0.001211 & -0.0094 & 0.496275 \tabularnewline
48 & -0.010962 & -0.0849 & 0.466306 \tabularnewline
49 & -0.041341 & -0.3202 & 0.374954 \tabularnewline
50 & -0.065024 & -0.5037 & 0.308167 \tabularnewline
51 & -0.078408 & -0.6073 & 0.272956 \tabularnewline
52 & -0.092901 & -0.7196 & 0.23728 \tabularnewline
53 & -0.104633 & -0.8105 & 0.210432 \tabularnewline
54 & -0.114616 & -0.8878 & 0.189094 \tabularnewline
55 & -0.12265 & -0.95 & 0.172952 \tabularnewline
56 & -0.112338 & -0.8702 & 0.193838 \tabularnewline
57 & -0.083881 & -0.6497 & 0.259171 \tabularnewline
58 & -0.036892 & -0.2858 & 0.388021 \tabularnewline
59 & -0.008487 & -0.0657 & 0.473902 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31373&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]0.802828[/C][C]6.2187[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.750685[/C][C]5.8148[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.651674[/C][C]5.0478[/C][C]2e-06[/C][/ROW]
[ROW][C]4[/C][C]0.572811[/C][C]4.437[/C][C]2e-05[/C][/ROW]
[ROW][C]5[/C][C]0.508125[/C][C]3.9359[/C][C]0.000109[/C][/ROW]
[ROW][C]6[/C][C]0.4465[/C][C]3.4586[/C][C]0.000503[/C][/ROW]
[ROW][C]7[/C][C]0.391736[/C][C]3.0344[/C][C]0.00178[/C][/ROW]
[ROW][C]8[/C][C]0.300641[/C][C]2.3288[/C][C]0.011629[/C][/ROW]
[ROW][C]9[/C][C]0.273747[/C][C]2.1204[/C][C]0.019056[/C][/ROW]
[ROW][C]10[/C][C]0.218056[/C][C]1.6891[/C][C]0.0482[/C][/ROW]
[ROW][C]11[/C][C]0.240238[/C][C]1.8609[/C][C]0.033832[/C][/ROW]
[ROW][C]12[/C][C]0.14891[/C][C]1.1535[/C][C]0.12665[/C][/ROW]
[ROW][C]13[/C][C]0.157075[/C][C]1.2167[/C][C]0.114241[/C][/ROW]
[ROW][C]14[/C][C]0.134701[/C][C]1.0434[/C][C]0.150476[/C][/ROW]
[ROW][C]15[/C][C]0.124341[/C][C]0.9631[/C][C]0.16967[/C][/ROW]
[ROW][C]16[/C][C]0.098758[/C][C]0.765[/C][C]0.223642[/C][/ROW]
[ROW][C]17[/C][C]0.033461[/C][C]0.2592[/C][C]0.398189[/C][/ROW]
[ROW][C]18[/C][C]0.000133[/C][C]0.001[/C][C]0.499592[/C][/ROW]
[ROW][C]19[/C][C]-0.053075[/C][C]-0.4111[/C][C]0.341225[/C][/ROW]
[ROW][C]20[/C][C]-0.035081[/C][C]-0.2717[/C][C]0.39338[/C][/ROW]
[ROW][C]21[/C][C]-0.076168[/C][C]-0.59[/C][C]0.278705[/C][/ROW]
[ROW][C]22[/C][C]-0.098932[/C][C]-0.7663[/C][C]0.223245[/C][/ROW]
[ROW][C]23[/C][C]-0.135887[/C][C]-1.0526[/C][C]0.148378[/C][/ROW]
[ROW][C]24[/C][C]-0.211334[/C][C]-1.637[/C][C]0.053434[/C][/ROW]
[ROW][C]25[/C][C]-0.212975[/C][C]-1.6497[/C][C]0.052116[/C][/ROW]
[ROW][C]26[/C][C]-0.217445[/C][C]-1.6843[/C][C]0.048658[/C][/ROW]
[ROW][C]27[/C][C]-0.256135[/C][C]-1.984[/C][C]0.025917[/C][/ROW]
[ROW][C]28[/C][C]-0.268917[/C][C]-2.083[/C][C]0.020759[/C][/ROW]
[ROW][C]29[/C][C]-0.273124[/C][C]-2.1156[/C][C]0.019269[/C][/ROW]
[ROW][C]30[/C][C]-0.300746[/C][C]-2.3296[/C][C]0.011606[/C][/ROW]
[ROW][C]31[/C][C]-0.300525[/C][C]-2.3279[/C][C]0.011655[/C][/ROW]
[ROW][C]32[/C][C]-0.29248[/C][C]-2.2655[/C][C]0.013551[/C][/ROW]
[ROW][C]33[/C][C]-0.338265[/C][C]-2.6202[/C][C]0.005558[/C][/ROW]
[ROW][C]34[/C][C]-0.334706[/C][C]-2.5926[/C][C]0.005973[/C][/ROW]
[ROW][C]35[/C][C]-0.334489[/C][C]-2.5909[/C][C]0.006[/C][/ROW]
[ROW][C]36[/C][C]-0.28095[/C][C]-2.1762[/C][C]0.016743[/C][/ROW]
[ROW][C]37[/C][C]-0.272981[/C][C]-2.1145[/C][C]0.019318[/C][/ROW]
[ROW][C]38[/C][C]-0.260457[/C][C]-2.0175[/C][C]0.024062[/C][/ROW]
[ROW][C]39[/C][C]-0.235191[/C][C]-1.8218[/C][C]0.036737[/C][/ROW]
[ROW][C]40[/C][C]-0.204114[/C][C]-1.5811[/C][C]0.059561[/C][/ROW]
[ROW][C]41[/C][C]-0.17693[/C][C]-1.3705[/C][C]0.08782[/C][/ROW]
[ROW][C]42[/C][C]-0.127009[/C][C]-0.9838[/C][C]0.164581[/C][/ROW]
[ROW][C]43[/C][C]-0.073525[/C][C]-0.5695[/C][C]0.285564[/C][/ROW]
[ROW][C]44[/C][C]-0.069409[/C][C]-0.5376[/C][C]0.296406[/C][/ROW]
[ROW][C]45[/C][C]-0.026662[/C][C]-0.2065[/C][C]0.41854[/C][/ROW]
[ROW][C]46[/C][C]-0.013566[/C][C]-0.1051[/C][C]0.458331[/C][/ROW]
[ROW][C]47[/C][C]-0.001211[/C][C]-0.0094[/C][C]0.496275[/C][/ROW]
[ROW][C]48[/C][C]-0.010962[/C][C]-0.0849[/C][C]0.466306[/C][/ROW]
[ROW][C]49[/C][C]-0.041341[/C][C]-0.3202[/C][C]0.374954[/C][/ROW]
[ROW][C]50[/C][C]-0.065024[/C][C]-0.5037[/C][C]0.308167[/C][/ROW]
[ROW][C]51[/C][C]-0.078408[/C][C]-0.6073[/C][C]0.272956[/C][/ROW]
[ROW][C]52[/C][C]-0.092901[/C][C]-0.7196[/C][C]0.23728[/C][/ROW]
[ROW][C]53[/C][C]-0.104633[/C][C]-0.8105[/C][C]0.210432[/C][/ROW]
[ROW][C]54[/C][C]-0.114616[/C][C]-0.8878[/C][C]0.189094[/C][/ROW]
[ROW][C]55[/C][C]-0.12265[/C][C]-0.95[/C][C]0.172952[/C][/ROW]
[ROW][C]56[/C][C]-0.112338[/C][C]-0.8702[/C][C]0.193838[/C][/ROW]
[ROW][C]57[/C][C]-0.083881[/C][C]-0.6497[/C][C]0.259171[/C][/ROW]
[ROW][C]58[/C][C]-0.036892[/C][C]-0.2858[/C][C]0.388021[/C][/ROW]
[ROW][C]59[/C][C]-0.008487[/C][C]-0.0657[/C][C]0.473902[/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=31373&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31373&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
10.8028286.21870
20.7506855.81480
30.6516745.04782e-06
40.5728114.4372e-05
50.5081253.93590.000109
60.44653.45860.000503
70.3917363.03440.00178
80.3006412.32880.011629
90.2737472.12040.019056
100.2180561.68910.0482
110.2402381.86090.033832
120.148911.15350.12665
130.1570751.21670.114241
140.1347011.04340.150476
150.1243410.96310.16967
160.0987580.7650.223642
170.0334610.25920.398189
180.0001330.0010.499592
19-0.053075-0.41110.341225
20-0.035081-0.27170.39338
21-0.076168-0.590.278705
22-0.098932-0.76630.223245
23-0.135887-1.05260.148378
24-0.211334-1.6370.053434
25-0.212975-1.64970.052116
26-0.217445-1.68430.048658
27-0.256135-1.9840.025917
28-0.268917-2.0830.020759
29-0.273124-2.11560.019269
30-0.300746-2.32960.011606
31-0.300525-2.32790.011655
32-0.29248-2.26550.013551
33-0.338265-2.62020.005558
34-0.334706-2.59260.005973
35-0.334489-2.59090.006
36-0.28095-2.17620.016743
37-0.272981-2.11450.019318
38-0.260457-2.01750.024062
39-0.235191-1.82180.036737
40-0.204114-1.58110.059561
41-0.17693-1.37050.08782
42-0.127009-0.98380.164581
43-0.073525-0.56950.285564
44-0.069409-0.53760.296406
45-0.026662-0.20650.41854
46-0.013566-0.10510.458331
47-0.001211-0.00940.496275
48-0.010962-0.08490.466306
49-0.041341-0.32020.374954
50-0.065024-0.50370.308167
51-0.078408-0.60730.272956
52-0.092901-0.71960.23728
53-0.104633-0.81050.210432
54-0.114616-0.88780.189094
55-0.12265-0.950.172952
56-0.112338-0.87020.193838
57-0.083881-0.64970.259171
58-0.036892-0.28580.388021
59-0.008487-0.06570.473902
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8028286.21870
20.2986292.31320.012079
3-0.033262-0.25760.39878
4-0.037534-0.29070.386129
50.0154580.11970.452546
60.0010580.00820.496745
7-0.009757-0.07560.470004
8-0.136413-1.05660.147454
90.0690520.53490.297357
10-0.001267-0.00980.4961
110.1675311.29770.099681
12-0.225496-1.74670.042905
130.0786810.60950.272261
140.0557640.43190.333663
150.0272760.21130.416693
16-0.104768-0.81150.210134
17-0.17341-1.34320.092129
18-0.025148-0.19480.423107
190.0385160.29830.383235
200.0932060.7220.236558
21-0.080982-0.62730.266427
22-0.136857-1.06010.146677
230.0618250.47890.316877
24-0.211033-1.63470.053679
250.0760820.58930.278927
260.0348060.26960.394195
27-0.151463-1.17320.12267
280.0512420.39690.346417
29-0.010398-0.08050.468035
30-0.05517-0.42730.335329
31-0.062877-0.4870.314
320.0708580.54890.292567
33-0.163996-1.27030.10444
34-0.021061-0.16310.43548
350.1228830.95180.172497
360.0335730.26010.397855
37-0.041078-0.31820.375722
380.0253390.19630.42253
390.0074650.05780.477039
400.1060570.82150.207302
41-0.065987-0.51110.305566
420.055130.4270.33544
430.0020540.01590.493679
440.1004950.77840.219687
45-0.008336-0.06460.474364
46-0.093177-0.72170.236627
47-0.019543-0.15140.440094
48-0.05522-0.42770.335189
49-0.123495-0.95660.171307
50-0.024755-0.19180.424291
51-0.095838-0.74240.230383
52-0.030979-0.240.405589
530.0470860.36470.3583
54-0.044889-0.34770.364637
55-0.045027-0.34880.364239
560.0506880.39260.347994
570.0288990.22390.411817
580.0161910.12540.450306
590.0556770.43130.333909
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.802828 & 6.2187 & 0 \tabularnewline
2 & 0.298629 & 2.3132 & 0.012079 \tabularnewline
3 & -0.033262 & -0.2576 & 0.39878 \tabularnewline
4 & -0.037534 & -0.2907 & 0.386129 \tabularnewline
5 & 0.015458 & 0.1197 & 0.452546 \tabularnewline
6 & 0.001058 & 0.0082 & 0.496745 \tabularnewline
7 & -0.009757 & -0.0756 & 0.470004 \tabularnewline
8 & -0.136413 & -1.0566 & 0.147454 \tabularnewline
9 & 0.069052 & 0.5349 & 0.297357 \tabularnewline
10 & -0.001267 & -0.0098 & 0.4961 \tabularnewline
11 & 0.167531 & 1.2977 & 0.099681 \tabularnewline
12 & -0.225496 & -1.7467 & 0.042905 \tabularnewline
13 & 0.078681 & 0.6095 & 0.272261 \tabularnewline
14 & 0.055764 & 0.4319 & 0.333663 \tabularnewline
15 & 0.027276 & 0.2113 & 0.416693 \tabularnewline
16 & -0.104768 & -0.8115 & 0.210134 \tabularnewline
17 & -0.17341 & -1.3432 & 0.092129 \tabularnewline
18 & -0.025148 & -0.1948 & 0.423107 \tabularnewline
19 & 0.038516 & 0.2983 & 0.383235 \tabularnewline
20 & 0.093206 & 0.722 & 0.236558 \tabularnewline
21 & -0.080982 & -0.6273 & 0.266427 \tabularnewline
22 & -0.136857 & -1.0601 & 0.146677 \tabularnewline
23 & 0.061825 & 0.4789 & 0.316877 \tabularnewline
24 & -0.211033 & -1.6347 & 0.053679 \tabularnewline
25 & 0.076082 & 0.5893 & 0.278927 \tabularnewline
26 & 0.034806 & 0.2696 & 0.394195 \tabularnewline
27 & -0.151463 & -1.1732 & 0.12267 \tabularnewline
28 & 0.051242 & 0.3969 & 0.346417 \tabularnewline
29 & -0.010398 & -0.0805 & 0.468035 \tabularnewline
30 & -0.05517 & -0.4273 & 0.335329 \tabularnewline
31 & -0.062877 & -0.487 & 0.314 \tabularnewline
32 & 0.070858 & 0.5489 & 0.292567 \tabularnewline
33 & -0.163996 & -1.2703 & 0.10444 \tabularnewline
34 & -0.021061 & -0.1631 & 0.43548 \tabularnewline
35 & 0.122883 & 0.9518 & 0.172497 \tabularnewline
36 & 0.033573 & 0.2601 & 0.397855 \tabularnewline
37 & -0.041078 & -0.3182 & 0.375722 \tabularnewline
38 & 0.025339 & 0.1963 & 0.42253 \tabularnewline
39 & 0.007465 & 0.0578 & 0.477039 \tabularnewline
40 & 0.106057 & 0.8215 & 0.207302 \tabularnewline
41 & -0.065987 & -0.5111 & 0.305566 \tabularnewline
42 & 0.05513 & 0.427 & 0.33544 \tabularnewline
43 & 0.002054 & 0.0159 & 0.493679 \tabularnewline
44 & 0.100495 & 0.7784 & 0.219687 \tabularnewline
45 & -0.008336 & -0.0646 & 0.474364 \tabularnewline
46 & -0.093177 & -0.7217 & 0.236627 \tabularnewline
47 & -0.019543 & -0.1514 & 0.440094 \tabularnewline
48 & -0.05522 & -0.4277 & 0.335189 \tabularnewline
49 & -0.123495 & -0.9566 & 0.171307 \tabularnewline
50 & -0.024755 & -0.1918 & 0.424291 \tabularnewline
51 & -0.095838 & -0.7424 & 0.230383 \tabularnewline
52 & -0.030979 & -0.24 & 0.405589 \tabularnewline
53 & 0.047086 & 0.3647 & 0.3583 \tabularnewline
54 & -0.044889 & -0.3477 & 0.364637 \tabularnewline
55 & -0.045027 & -0.3488 & 0.364239 \tabularnewline
56 & 0.050688 & 0.3926 & 0.347994 \tabularnewline
57 & 0.028899 & 0.2239 & 0.411817 \tabularnewline
58 & 0.016191 & 0.1254 & 0.450306 \tabularnewline
59 & 0.055677 & 0.4313 & 0.333909 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31373&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]0.802828[/C][C]6.2187[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.298629[/C][C]2.3132[/C][C]0.012079[/C][/ROW]
[ROW][C]3[/C][C]-0.033262[/C][C]-0.2576[/C][C]0.39878[/C][/ROW]
[ROW][C]4[/C][C]-0.037534[/C][C]-0.2907[/C][C]0.386129[/C][/ROW]
[ROW][C]5[/C][C]0.015458[/C][C]0.1197[/C][C]0.452546[/C][/ROW]
[ROW][C]6[/C][C]0.001058[/C][C]0.0082[/C][C]0.496745[/C][/ROW]
[ROW][C]7[/C][C]-0.009757[/C][C]-0.0756[/C][C]0.470004[/C][/ROW]
[ROW][C]8[/C][C]-0.136413[/C][C]-1.0566[/C][C]0.147454[/C][/ROW]
[ROW][C]9[/C][C]0.069052[/C][C]0.5349[/C][C]0.297357[/C][/ROW]
[ROW][C]10[/C][C]-0.001267[/C][C]-0.0098[/C][C]0.4961[/C][/ROW]
[ROW][C]11[/C][C]0.167531[/C][C]1.2977[/C][C]0.099681[/C][/ROW]
[ROW][C]12[/C][C]-0.225496[/C][C]-1.7467[/C][C]0.042905[/C][/ROW]
[ROW][C]13[/C][C]0.078681[/C][C]0.6095[/C][C]0.272261[/C][/ROW]
[ROW][C]14[/C][C]0.055764[/C][C]0.4319[/C][C]0.333663[/C][/ROW]
[ROW][C]15[/C][C]0.027276[/C][C]0.2113[/C][C]0.416693[/C][/ROW]
[ROW][C]16[/C][C]-0.104768[/C][C]-0.8115[/C][C]0.210134[/C][/ROW]
[ROW][C]17[/C][C]-0.17341[/C][C]-1.3432[/C][C]0.092129[/C][/ROW]
[ROW][C]18[/C][C]-0.025148[/C][C]-0.1948[/C][C]0.423107[/C][/ROW]
[ROW][C]19[/C][C]0.038516[/C][C]0.2983[/C][C]0.383235[/C][/ROW]
[ROW][C]20[/C][C]0.093206[/C][C]0.722[/C][C]0.236558[/C][/ROW]
[ROW][C]21[/C][C]-0.080982[/C][C]-0.6273[/C][C]0.266427[/C][/ROW]
[ROW][C]22[/C][C]-0.136857[/C][C]-1.0601[/C][C]0.146677[/C][/ROW]
[ROW][C]23[/C][C]0.061825[/C][C]0.4789[/C][C]0.316877[/C][/ROW]
[ROW][C]24[/C][C]-0.211033[/C][C]-1.6347[/C][C]0.053679[/C][/ROW]
[ROW][C]25[/C][C]0.076082[/C][C]0.5893[/C][C]0.278927[/C][/ROW]
[ROW][C]26[/C][C]0.034806[/C][C]0.2696[/C][C]0.394195[/C][/ROW]
[ROW][C]27[/C][C]-0.151463[/C][C]-1.1732[/C][C]0.12267[/C][/ROW]
[ROW][C]28[/C][C]0.051242[/C][C]0.3969[/C][C]0.346417[/C][/ROW]
[ROW][C]29[/C][C]-0.010398[/C][C]-0.0805[/C][C]0.468035[/C][/ROW]
[ROW][C]30[/C][C]-0.05517[/C][C]-0.4273[/C][C]0.335329[/C][/ROW]
[ROW][C]31[/C][C]-0.062877[/C][C]-0.487[/C][C]0.314[/C][/ROW]
[ROW][C]32[/C][C]0.070858[/C][C]0.5489[/C][C]0.292567[/C][/ROW]
[ROW][C]33[/C][C]-0.163996[/C][C]-1.2703[/C][C]0.10444[/C][/ROW]
[ROW][C]34[/C][C]-0.021061[/C][C]-0.1631[/C][C]0.43548[/C][/ROW]
[ROW][C]35[/C][C]0.122883[/C][C]0.9518[/C][C]0.172497[/C][/ROW]
[ROW][C]36[/C][C]0.033573[/C][C]0.2601[/C][C]0.397855[/C][/ROW]
[ROW][C]37[/C][C]-0.041078[/C][C]-0.3182[/C][C]0.375722[/C][/ROW]
[ROW][C]38[/C][C]0.025339[/C][C]0.1963[/C][C]0.42253[/C][/ROW]
[ROW][C]39[/C][C]0.007465[/C][C]0.0578[/C][C]0.477039[/C][/ROW]
[ROW][C]40[/C][C]0.106057[/C][C]0.8215[/C][C]0.207302[/C][/ROW]
[ROW][C]41[/C][C]-0.065987[/C][C]-0.5111[/C][C]0.305566[/C][/ROW]
[ROW][C]42[/C][C]0.05513[/C][C]0.427[/C][C]0.33544[/C][/ROW]
[ROW][C]43[/C][C]0.002054[/C][C]0.0159[/C][C]0.493679[/C][/ROW]
[ROW][C]44[/C][C]0.100495[/C][C]0.7784[/C][C]0.219687[/C][/ROW]
[ROW][C]45[/C][C]-0.008336[/C][C]-0.0646[/C][C]0.474364[/C][/ROW]
[ROW][C]46[/C][C]-0.093177[/C][C]-0.7217[/C][C]0.236627[/C][/ROW]
[ROW][C]47[/C][C]-0.019543[/C][C]-0.1514[/C][C]0.440094[/C][/ROW]
[ROW][C]48[/C][C]-0.05522[/C][C]-0.4277[/C][C]0.335189[/C][/ROW]
[ROW][C]49[/C][C]-0.123495[/C][C]-0.9566[/C][C]0.171307[/C][/ROW]
[ROW][C]50[/C][C]-0.024755[/C][C]-0.1918[/C][C]0.424291[/C][/ROW]
[ROW][C]51[/C][C]-0.095838[/C][C]-0.7424[/C][C]0.230383[/C][/ROW]
[ROW][C]52[/C][C]-0.030979[/C][C]-0.24[/C][C]0.405589[/C][/ROW]
[ROW][C]53[/C][C]0.047086[/C][C]0.3647[/C][C]0.3583[/C][/ROW]
[ROW][C]54[/C][C]-0.044889[/C][C]-0.3477[/C][C]0.364637[/C][/ROW]
[ROW][C]55[/C][C]-0.045027[/C][C]-0.3488[/C][C]0.364239[/C][/ROW]
[ROW][C]56[/C][C]0.050688[/C][C]0.3926[/C][C]0.347994[/C][/ROW]
[ROW][C]57[/C][C]0.028899[/C][C]0.2239[/C][C]0.411817[/C][/ROW]
[ROW][C]58[/C][C]0.016191[/C][C]0.1254[/C][C]0.450306[/C][/ROW]
[ROW][C]59[/C][C]0.055677[/C][C]0.4313[/C][C]0.333909[/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=31373&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31373&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
10.8028286.21870
20.2986292.31320.012079
3-0.033262-0.25760.39878
4-0.037534-0.29070.386129
50.0154580.11970.452546
60.0010580.00820.496745
7-0.009757-0.07560.470004
8-0.136413-1.05660.147454
90.0690520.53490.297357
10-0.001267-0.00980.4961
110.1675311.29770.099681
12-0.225496-1.74670.042905
130.0786810.60950.272261
140.0557640.43190.333663
150.0272760.21130.416693
16-0.104768-0.81150.210134
17-0.17341-1.34320.092129
18-0.025148-0.19480.423107
190.0385160.29830.383235
200.0932060.7220.236558
21-0.080982-0.62730.266427
22-0.136857-1.06010.146677
230.0618250.47890.316877
24-0.211033-1.63470.053679
250.0760820.58930.278927
260.0348060.26960.394195
27-0.151463-1.17320.12267
280.0512420.39690.346417
29-0.010398-0.08050.468035
30-0.05517-0.42730.335329
31-0.062877-0.4870.314
320.0708580.54890.292567
33-0.163996-1.27030.10444
34-0.021061-0.16310.43548
350.1228830.95180.172497
360.0335730.26010.397855
37-0.041078-0.31820.375722
380.0253390.19630.42253
390.0074650.05780.477039
400.1060570.82150.207302
41-0.065987-0.51110.305566
420.055130.4270.33544
430.0020540.01590.493679
440.1004950.77840.219687
45-0.008336-0.06460.474364
46-0.093177-0.72170.236627
47-0.019543-0.15140.440094
48-0.05522-0.42770.335189
49-0.123495-0.95660.171307
50-0.024755-0.19180.424291
51-0.095838-0.74240.230383
52-0.030979-0.240.405589
530.0470860.36470.3583
54-0.044889-0.34770.364637
55-0.045027-0.34880.364239
560.0506880.39260.347994
570.0288990.22390.411817
580.0161910.12540.450306
590.0556770.43130.333909
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')