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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, 16 Dec 2008 04:36:24 -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/16/t1229427441a06k1hcowuxdevd.htm/, Retrieved Wed, 15 May 2024 05:47:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33916, Retrieved Wed, 15 May 2024 05:47:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact175
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Paper TW] [2008-12-10 10:54:14] [6610d6fd8f463fb18a844c14dc2c3579]
-   P     [(Partial) Autocorrelation Function] [Gilliam] [2008-12-16 11:36:24] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
101.0
98.7
105.1
98.4
101.7
102.9
92.2
94.9
92.8
98.5
94.3
87.4
103.4
101.2
109.6
111.9
108.9
105.6
107.8
97.5
102.4
105.6
99.8
96.2
113.1
107.4
116.8
112.9
105.3
109.3
107.9
101.1
114.7
116.2
108.4
113.4
108.7
112.6
124.2
114.9
110.5
121.5
118.1
111.7
132.7
119.0
116.7
120.1
113.4
106.6
116.3
112.6
111.6
125.1
110.7
109.6
114.2
113.4
116.0
109.6
117.8
115.8
125.3
113.0
120.5
116.6
111.8
115.2
118.6
122.4
116.4
114.5
119.8
115.8
127.8
118.8
119.7
118.6
120.8
115.9
109.7
114.8
116.2
112.2




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33916&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33916&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33916&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3744493.17730.001095
20.3225542.7370.003903
30.2833452.40430.00939
40.0395760.33580.368993
50.0378250.3210.374585
60.1328641.12740.131661
70.0947860.80430.21194
80.0470430.39920.345475
90.2484532.10820.019248
10-0.052984-0.44960.327182
110.0364990.30970.378841
12-0.206125-1.7490.042274
13-0.218723-1.85590.033779
14-0.027191-0.23070.409093
15-0.096078-0.81530.208808
16-0.057372-0.48680.313933
170.069940.59350.277365
18-0.000124-0.00110.499581
19-0.090029-0.76390.223705
200.1691621.43540.077754
21-0.052043-0.44160.330052
22-0.010864-0.09220.463404
230.1282731.08840.140017
240.0337160.28610.387815
250.089730.76140.224456
260.1896311.60910.055988
270.1179991.00130.160029
280.0829990.70430.241768
290.1474771.25140.107423
30-0.029494-0.25030.401548
310.0007890.00670.49734
32-0.082764-0.70230.242387
33-0.175329-1.48770.070596
34-0.114105-0.96820.16809
35-0.133258-1.13070.13096
36-0.184844-1.56850.06058
37-0.072399-0.61430.270467
38-0.166051-1.4090.081572
39-0.216127-1.83390.035401
40-0.094137-0.79880.213524
41-0.188548-1.59990.057002
42-0.090474-0.76770.222588
430.0021090.01790.492885
44-0.004413-0.03740.485117
45-0.042263-0.35860.360468
460.0138780.11780.453293
47-0.081421-0.69090.245932
48-0.094736-0.80390.21206
49-0.029919-0.25390.40016
50-0.074581-0.63280.264422
510.0053570.04550.481933
520.0211210.17920.429135
530.0460950.39110.34843
540.0153860.13060.448244
55-0.024572-0.20850.417713
56-0.047248-0.40090.344835
57-0.048407-0.41080.341238
58-0.058625-0.49740.310195
59-0.050736-0.43050.334056
60-0.022422-0.19030.424823

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.374449 & 3.1773 & 0.001095 \tabularnewline
2 & 0.322554 & 2.737 & 0.003903 \tabularnewline
3 & 0.283345 & 2.4043 & 0.00939 \tabularnewline
4 & 0.039576 & 0.3358 & 0.368993 \tabularnewline
5 & 0.037825 & 0.321 & 0.374585 \tabularnewline
6 & 0.132864 & 1.1274 & 0.131661 \tabularnewline
7 & 0.094786 & 0.8043 & 0.21194 \tabularnewline
8 & 0.047043 & 0.3992 & 0.345475 \tabularnewline
9 & 0.248453 & 2.1082 & 0.019248 \tabularnewline
10 & -0.052984 & -0.4496 & 0.327182 \tabularnewline
11 & 0.036499 & 0.3097 & 0.378841 \tabularnewline
12 & -0.206125 & -1.749 & 0.042274 \tabularnewline
13 & -0.218723 & -1.8559 & 0.033779 \tabularnewline
14 & -0.027191 & -0.2307 & 0.409093 \tabularnewline
15 & -0.096078 & -0.8153 & 0.208808 \tabularnewline
16 & -0.057372 & -0.4868 & 0.313933 \tabularnewline
17 & 0.06994 & 0.5935 & 0.277365 \tabularnewline
18 & -0.000124 & -0.0011 & 0.499581 \tabularnewline
19 & -0.090029 & -0.7639 & 0.223705 \tabularnewline
20 & 0.169162 & 1.4354 & 0.077754 \tabularnewline
21 & -0.052043 & -0.4416 & 0.330052 \tabularnewline
22 & -0.010864 & -0.0922 & 0.463404 \tabularnewline
23 & 0.128273 & 1.0884 & 0.140017 \tabularnewline
24 & 0.033716 & 0.2861 & 0.387815 \tabularnewline
25 & 0.08973 & 0.7614 & 0.224456 \tabularnewline
26 & 0.189631 & 1.6091 & 0.055988 \tabularnewline
27 & 0.117999 & 1.0013 & 0.160029 \tabularnewline
28 & 0.082999 & 0.7043 & 0.241768 \tabularnewline
29 & 0.147477 & 1.2514 & 0.107423 \tabularnewline
30 & -0.029494 & -0.2503 & 0.401548 \tabularnewline
31 & 0.000789 & 0.0067 & 0.49734 \tabularnewline
32 & -0.082764 & -0.7023 & 0.242387 \tabularnewline
33 & -0.175329 & -1.4877 & 0.070596 \tabularnewline
34 & -0.114105 & -0.9682 & 0.16809 \tabularnewline
35 & -0.133258 & -1.1307 & 0.13096 \tabularnewline
36 & -0.184844 & -1.5685 & 0.06058 \tabularnewline
37 & -0.072399 & -0.6143 & 0.270467 \tabularnewline
38 & -0.166051 & -1.409 & 0.081572 \tabularnewline
39 & -0.216127 & -1.8339 & 0.035401 \tabularnewline
40 & -0.094137 & -0.7988 & 0.213524 \tabularnewline
41 & -0.188548 & -1.5999 & 0.057002 \tabularnewline
42 & -0.090474 & -0.7677 & 0.222588 \tabularnewline
43 & 0.002109 & 0.0179 & 0.492885 \tabularnewline
44 & -0.004413 & -0.0374 & 0.485117 \tabularnewline
45 & -0.042263 & -0.3586 & 0.360468 \tabularnewline
46 & 0.013878 & 0.1178 & 0.453293 \tabularnewline
47 & -0.081421 & -0.6909 & 0.245932 \tabularnewline
48 & -0.094736 & -0.8039 & 0.21206 \tabularnewline
49 & -0.029919 & -0.2539 & 0.40016 \tabularnewline
50 & -0.074581 & -0.6328 & 0.264422 \tabularnewline
51 & 0.005357 & 0.0455 & 0.481933 \tabularnewline
52 & 0.021121 & 0.1792 & 0.429135 \tabularnewline
53 & 0.046095 & 0.3911 & 0.34843 \tabularnewline
54 & 0.015386 & 0.1306 & 0.448244 \tabularnewline
55 & -0.024572 & -0.2085 & 0.417713 \tabularnewline
56 & -0.047248 & -0.4009 & 0.344835 \tabularnewline
57 & -0.048407 & -0.4108 & 0.341238 \tabularnewline
58 & -0.058625 & -0.4974 & 0.310195 \tabularnewline
59 & -0.050736 & -0.4305 & 0.334056 \tabularnewline
60 & -0.022422 & -0.1903 & 0.424823 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33916&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]0.374449[/C][C]3.1773[/C][C]0.001095[/C][/ROW]
[ROW][C]2[/C][C]0.322554[/C][C]2.737[/C][C]0.003903[/C][/ROW]
[ROW][C]3[/C][C]0.283345[/C][C]2.4043[/C][C]0.00939[/C][/ROW]
[ROW][C]4[/C][C]0.039576[/C][C]0.3358[/C][C]0.368993[/C][/ROW]
[ROW][C]5[/C][C]0.037825[/C][C]0.321[/C][C]0.374585[/C][/ROW]
[ROW][C]6[/C][C]0.132864[/C][C]1.1274[/C][C]0.131661[/C][/ROW]
[ROW][C]7[/C][C]0.094786[/C][C]0.8043[/C][C]0.21194[/C][/ROW]
[ROW][C]8[/C][C]0.047043[/C][C]0.3992[/C][C]0.345475[/C][/ROW]
[ROW][C]9[/C][C]0.248453[/C][C]2.1082[/C][C]0.019248[/C][/ROW]
[ROW][C]10[/C][C]-0.052984[/C][C]-0.4496[/C][C]0.327182[/C][/ROW]
[ROW][C]11[/C][C]0.036499[/C][C]0.3097[/C][C]0.378841[/C][/ROW]
[ROW][C]12[/C][C]-0.206125[/C][C]-1.749[/C][C]0.042274[/C][/ROW]
[ROW][C]13[/C][C]-0.218723[/C][C]-1.8559[/C][C]0.033779[/C][/ROW]
[ROW][C]14[/C][C]-0.027191[/C][C]-0.2307[/C][C]0.409093[/C][/ROW]
[ROW][C]15[/C][C]-0.096078[/C][C]-0.8153[/C][C]0.208808[/C][/ROW]
[ROW][C]16[/C][C]-0.057372[/C][C]-0.4868[/C][C]0.313933[/C][/ROW]
[ROW][C]17[/C][C]0.06994[/C][C]0.5935[/C][C]0.277365[/C][/ROW]
[ROW][C]18[/C][C]-0.000124[/C][C]-0.0011[/C][C]0.499581[/C][/ROW]
[ROW][C]19[/C][C]-0.090029[/C][C]-0.7639[/C][C]0.223705[/C][/ROW]
[ROW][C]20[/C][C]0.169162[/C][C]1.4354[/C][C]0.077754[/C][/ROW]
[ROW][C]21[/C][C]-0.052043[/C][C]-0.4416[/C][C]0.330052[/C][/ROW]
[ROW][C]22[/C][C]-0.010864[/C][C]-0.0922[/C][C]0.463404[/C][/ROW]
[ROW][C]23[/C][C]0.128273[/C][C]1.0884[/C][C]0.140017[/C][/ROW]
[ROW][C]24[/C][C]0.033716[/C][C]0.2861[/C][C]0.387815[/C][/ROW]
[ROW][C]25[/C][C]0.08973[/C][C]0.7614[/C][C]0.224456[/C][/ROW]
[ROW][C]26[/C][C]0.189631[/C][C]1.6091[/C][C]0.055988[/C][/ROW]
[ROW][C]27[/C][C]0.117999[/C][C]1.0013[/C][C]0.160029[/C][/ROW]
[ROW][C]28[/C][C]0.082999[/C][C]0.7043[/C][C]0.241768[/C][/ROW]
[ROW][C]29[/C][C]0.147477[/C][C]1.2514[/C][C]0.107423[/C][/ROW]
[ROW][C]30[/C][C]-0.029494[/C][C]-0.2503[/C][C]0.401548[/C][/ROW]
[ROW][C]31[/C][C]0.000789[/C][C]0.0067[/C][C]0.49734[/C][/ROW]
[ROW][C]32[/C][C]-0.082764[/C][C]-0.7023[/C][C]0.242387[/C][/ROW]
[ROW][C]33[/C][C]-0.175329[/C][C]-1.4877[/C][C]0.070596[/C][/ROW]
[ROW][C]34[/C][C]-0.114105[/C][C]-0.9682[/C][C]0.16809[/C][/ROW]
[ROW][C]35[/C][C]-0.133258[/C][C]-1.1307[/C][C]0.13096[/C][/ROW]
[ROW][C]36[/C][C]-0.184844[/C][C]-1.5685[/C][C]0.06058[/C][/ROW]
[ROW][C]37[/C][C]-0.072399[/C][C]-0.6143[/C][C]0.270467[/C][/ROW]
[ROW][C]38[/C][C]-0.166051[/C][C]-1.409[/C][C]0.081572[/C][/ROW]
[ROW][C]39[/C][C]-0.216127[/C][C]-1.8339[/C][C]0.035401[/C][/ROW]
[ROW][C]40[/C][C]-0.094137[/C][C]-0.7988[/C][C]0.213524[/C][/ROW]
[ROW][C]41[/C][C]-0.188548[/C][C]-1.5999[/C][C]0.057002[/C][/ROW]
[ROW][C]42[/C][C]-0.090474[/C][C]-0.7677[/C][C]0.222588[/C][/ROW]
[ROW][C]43[/C][C]0.002109[/C][C]0.0179[/C][C]0.492885[/C][/ROW]
[ROW][C]44[/C][C]-0.004413[/C][C]-0.0374[/C][C]0.485117[/C][/ROW]
[ROW][C]45[/C][C]-0.042263[/C][C]-0.3586[/C][C]0.360468[/C][/ROW]
[ROW][C]46[/C][C]0.013878[/C][C]0.1178[/C][C]0.453293[/C][/ROW]
[ROW][C]47[/C][C]-0.081421[/C][C]-0.6909[/C][C]0.245932[/C][/ROW]
[ROW][C]48[/C][C]-0.094736[/C][C]-0.8039[/C][C]0.21206[/C][/ROW]
[ROW][C]49[/C][C]-0.029919[/C][C]-0.2539[/C][C]0.40016[/C][/ROW]
[ROW][C]50[/C][C]-0.074581[/C][C]-0.6328[/C][C]0.264422[/C][/ROW]
[ROW][C]51[/C][C]0.005357[/C][C]0.0455[/C][C]0.481933[/C][/ROW]
[ROW][C]52[/C][C]0.021121[/C][C]0.1792[/C][C]0.429135[/C][/ROW]
[ROW][C]53[/C][C]0.046095[/C][C]0.3911[/C][C]0.34843[/C][/ROW]
[ROW][C]54[/C][C]0.015386[/C][C]0.1306[/C][C]0.448244[/C][/ROW]
[ROW][C]55[/C][C]-0.024572[/C][C]-0.2085[/C][C]0.417713[/C][/ROW]
[ROW][C]56[/C][C]-0.047248[/C][C]-0.4009[/C][C]0.344835[/C][/ROW]
[ROW][C]57[/C][C]-0.048407[/C][C]-0.4108[/C][C]0.341238[/C][/ROW]
[ROW][C]58[/C][C]-0.058625[/C][C]-0.4974[/C][C]0.310195[/C][/ROW]
[ROW][C]59[/C][C]-0.050736[/C][C]-0.4305[/C][C]0.334056[/C][/ROW]
[ROW][C]60[/C][C]-0.022422[/C][C]-0.1903[/C][C]0.424823[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33916&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33916&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
10.3744493.17730.001095
20.3225542.7370.003903
30.2833452.40430.00939
40.0395760.33580.368993
50.0378250.3210.374585
60.1328641.12740.131661
70.0947860.80430.21194
80.0470430.39920.345475
90.2484532.10820.019248
10-0.052984-0.44960.327182
110.0364990.30970.378841
12-0.206125-1.7490.042274
13-0.218723-1.85590.033779
14-0.027191-0.23070.409093
15-0.096078-0.81530.208808
16-0.057372-0.48680.313933
170.069940.59350.277365
18-0.000124-0.00110.499581
19-0.090029-0.76390.223705
200.1691621.43540.077754
21-0.052043-0.44160.330052
22-0.010864-0.09220.463404
230.1282731.08840.140017
240.0337160.28610.387815
250.089730.76140.224456
260.1896311.60910.055988
270.1179991.00130.160029
280.0829990.70430.241768
290.1474771.25140.107423
30-0.029494-0.25030.401548
310.0007890.00670.49734
32-0.082764-0.70230.242387
33-0.175329-1.48770.070596
34-0.114105-0.96820.16809
35-0.133258-1.13070.13096
36-0.184844-1.56850.06058
37-0.072399-0.61430.270467
38-0.166051-1.4090.081572
39-0.216127-1.83390.035401
40-0.094137-0.79880.213524
41-0.188548-1.59990.057002
42-0.090474-0.76770.222588
430.0021090.01790.492885
44-0.004413-0.03740.485117
45-0.042263-0.35860.360468
460.0138780.11780.453293
47-0.081421-0.69090.245932
48-0.094736-0.80390.21206
49-0.029919-0.25390.40016
50-0.074581-0.63280.264422
510.0053570.04550.481933
520.0211210.17920.429135
530.0460950.39110.34843
540.0153860.13060.448244
55-0.024572-0.20850.417713
56-0.047248-0.40090.344835
57-0.048407-0.41080.341238
58-0.058625-0.49740.310195
59-0.050736-0.43050.334056
60-0.022422-0.19030.424823







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3744493.17730.001095
20.2120781.79950.038061
30.1324621.1240.132377
4-0.175357-1.4880.070565
5-0.029972-0.25430.399988
60.1616531.37170.087212
70.0814920.69150.245744
8-0.075987-0.64480.260562
90.2027891.72070.044798
10-0.240532-2.0410.02246
110.0577890.49040.312685
12-0.377605-3.20410.00101
130.0553330.46950.320059
140.1984421.68380.048272
15-0.024335-0.20650.418496
16-0.098798-0.83830.202311
170.1184061.00470.159201
18-0.085008-0.72130.236525
190.0790720.67090.2522
200.1251581.0620.145893
210.0388640.32980.371264
22-0.028658-0.24320.404284
230.0048710.04130.483572
24-0.042103-0.35730.360972
250.0547380.46450.321858
260.1293661.09770.137995
270.0603850.51240.304976
28-0.070096-0.59480.276926
29-0.040528-0.34390.365964
30-0.083714-0.71030.239894
31-0.092228-0.78260.218219
32-0.039383-0.33420.369608
33-0.062698-0.5320.298178
34-0.105144-0.89220.187634
35-0.020036-0.170.432739
36-0.112364-0.95340.171778
370.0529730.44950.327214
38-0.065032-0.55180.291391
390.0678390.57560.283328
40-0.036301-0.3080.379476
410.0157830.13390.44692
420.1237831.05030.148539
430.0238870.20270.419975
440.0129960.11030.456251
45-0.082241-0.69780.243764
46-0.15828-1.3430.091737
47-0.001675-0.01420.494351
48-0.089526-0.75960.224972
490.0012430.01050.495808
500.0089840.07620.469723
51-0.102664-0.87110.193289
52-0.00389-0.0330.48688
530.0276990.2350.407426
540.0377940.32070.374687
550.036620.31070.378451
560.0679030.57620.283147
57-0.046733-0.39650.34644
58-0.008328-0.07070.471932
590.0234240.19880.421507
600.0123870.10510.458291

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.374449 & 3.1773 & 0.001095 \tabularnewline
2 & 0.212078 & 1.7995 & 0.038061 \tabularnewline
3 & 0.132462 & 1.124 & 0.132377 \tabularnewline
4 & -0.175357 & -1.488 & 0.070565 \tabularnewline
5 & -0.029972 & -0.2543 & 0.399988 \tabularnewline
6 & 0.161653 & 1.3717 & 0.087212 \tabularnewline
7 & 0.081492 & 0.6915 & 0.245744 \tabularnewline
8 & -0.075987 & -0.6448 & 0.260562 \tabularnewline
9 & 0.202789 & 1.7207 & 0.044798 \tabularnewline
10 & -0.240532 & -2.041 & 0.02246 \tabularnewline
11 & 0.057789 & 0.4904 & 0.312685 \tabularnewline
12 & -0.377605 & -3.2041 & 0.00101 \tabularnewline
13 & 0.055333 & 0.4695 & 0.320059 \tabularnewline
14 & 0.198442 & 1.6838 & 0.048272 \tabularnewline
15 & -0.024335 & -0.2065 & 0.418496 \tabularnewline
16 & -0.098798 & -0.8383 & 0.202311 \tabularnewline
17 & 0.118406 & 1.0047 & 0.159201 \tabularnewline
18 & -0.085008 & -0.7213 & 0.236525 \tabularnewline
19 & 0.079072 & 0.6709 & 0.2522 \tabularnewline
20 & 0.125158 & 1.062 & 0.145893 \tabularnewline
21 & 0.038864 & 0.3298 & 0.371264 \tabularnewline
22 & -0.028658 & -0.2432 & 0.404284 \tabularnewline
23 & 0.004871 & 0.0413 & 0.483572 \tabularnewline
24 & -0.042103 & -0.3573 & 0.360972 \tabularnewline
25 & 0.054738 & 0.4645 & 0.321858 \tabularnewline
26 & 0.129366 & 1.0977 & 0.137995 \tabularnewline
27 & 0.060385 & 0.5124 & 0.304976 \tabularnewline
28 & -0.070096 & -0.5948 & 0.276926 \tabularnewline
29 & -0.040528 & -0.3439 & 0.365964 \tabularnewline
30 & -0.083714 & -0.7103 & 0.239894 \tabularnewline
31 & -0.092228 & -0.7826 & 0.218219 \tabularnewline
32 & -0.039383 & -0.3342 & 0.369608 \tabularnewline
33 & -0.062698 & -0.532 & 0.298178 \tabularnewline
34 & -0.105144 & -0.8922 & 0.187634 \tabularnewline
35 & -0.020036 & -0.17 & 0.432739 \tabularnewline
36 & -0.112364 & -0.9534 & 0.171778 \tabularnewline
37 & 0.052973 & 0.4495 & 0.327214 \tabularnewline
38 & -0.065032 & -0.5518 & 0.291391 \tabularnewline
39 & 0.067839 & 0.5756 & 0.283328 \tabularnewline
40 & -0.036301 & -0.308 & 0.379476 \tabularnewline
41 & 0.015783 & 0.1339 & 0.44692 \tabularnewline
42 & 0.123783 & 1.0503 & 0.148539 \tabularnewline
43 & 0.023887 & 0.2027 & 0.419975 \tabularnewline
44 & 0.012996 & 0.1103 & 0.456251 \tabularnewline
45 & -0.082241 & -0.6978 & 0.243764 \tabularnewline
46 & -0.15828 & -1.343 & 0.091737 \tabularnewline
47 & -0.001675 & -0.0142 & 0.494351 \tabularnewline
48 & -0.089526 & -0.7596 & 0.224972 \tabularnewline
49 & 0.001243 & 0.0105 & 0.495808 \tabularnewline
50 & 0.008984 & 0.0762 & 0.469723 \tabularnewline
51 & -0.102664 & -0.8711 & 0.193289 \tabularnewline
52 & -0.00389 & -0.033 & 0.48688 \tabularnewline
53 & 0.027699 & 0.235 & 0.407426 \tabularnewline
54 & 0.037794 & 0.3207 & 0.374687 \tabularnewline
55 & 0.03662 & 0.3107 & 0.378451 \tabularnewline
56 & 0.067903 & 0.5762 & 0.283147 \tabularnewline
57 & -0.046733 & -0.3965 & 0.34644 \tabularnewline
58 & -0.008328 & -0.0707 & 0.471932 \tabularnewline
59 & 0.023424 & 0.1988 & 0.421507 \tabularnewline
60 & 0.012387 & 0.1051 & 0.458291 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33916&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]0.374449[/C][C]3.1773[/C][C]0.001095[/C][/ROW]
[ROW][C]2[/C][C]0.212078[/C][C]1.7995[/C][C]0.038061[/C][/ROW]
[ROW][C]3[/C][C]0.132462[/C][C]1.124[/C][C]0.132377[/C][/ROW]
[ROW][C]4[/C][C]-0.175357[/C][C]-1.488[/C][C]0.070565[/C][/ROW]
[ROW][C]5[/C][C]-0.029972[/C][C]-0.2543[/C][C]0.399988[/C][/ROW]
[ROW][C]6[/C][C]0.161653[/C][C]1.3717[/C][C]0.087212[/C][/ROW]
[ROW][C]7[/C][C]0.081492[/C][C]0.6915[/C][C]0.245744[/C][/ROW]
[ROW][C]8[/C][C]-0.075987[/C][C]-0.6448[/C][C]0.260562[/C][/ROW]
[ROW][C]9[/C][C]0.202789[/C][C]1.7207[/C][C]0.044798[/C][/ROW]
[ROW][C]10[/C][C]-0.240532[/C][C]-2.041[/C][C]0.02246[/C][/ROW]
[ROW][C]11[/C][C]0.057789[/C][C]0.4904[/C][C]0.312685[/C][/ROW]
[ROW][C]12[/C][C]-0.377605[/C][C]-3.2041[/C][C]0.00101[/C][/ROW]
[ROW][C]13[/C][C]0.055333[/C][C]0.4695[/C][C]0.320059[/C][/ROW]
[ROW][C]14[/C][C]0.198442[/C][C]1.6838[/C][C]0.048272[/C][/ROW]
[ROW][C]15[/C][C]-0.024335[/C][C]-0.2065[/C][C]0.418496[/C][/ROW]
[ROW][C]16[/C][C]-0.098798[/C][C]-0.8383[/C][C]0.202311[/C][/ROW]
[ROW][C]17[/C][C]0.118406[/C][C]1.0047[/C][C]0.159201[/C][/ROW]
[ROW][C]18[/C][C]-0.085008[/C][C]-0.7213[/C][C]0.236525[/C][/ROW]
[ROW][C]19[/C][C]0.079072[/C][C]0.6709[/C][C]0.2522[/C][/ROW]
[ROW][C]20[/C][C]0.125158[/C][C]1.062[/C][C]0.145893[/C][/ROW]
[ROW][C]21[/C][C]0.038864[/C][C]0.3298[/C][C]0.371264[/C][/ROW]
[ROW][C]22[/C][C]-0.028658[/C][C]-0.2432[/C][C]0.404284[/C][/ROW]
[ROW][C]23[/C][C]0.004871[/C][C]0.0413[/C][C]0.483572[/C][/ROW]
[ROW][C]24[/C][C]-0.042103[/C][C]-0.3573[/C][C]0.360972[/C][/ROW]
[ROW][C]25[/C][C]0.054738[/C][C]0.4645[/C][C]0.321858[/C][/ROW]
[ROW][C]26[/C][C]0.129366[/C][C]1.0977[/C][C]0.137995[/C][/ROW]
[ROW][C]27[/C][C]0.060385[/C][C]0.5124[/C][C]0.304976[/C][/ROW]
[ROW][C]28[/C][C]-0.070096[/C][C]-0.5948[/C][C]0.276926[/C][/ROW]
[ROW][C]29[/C][C]-0.040528[/C][C]-0.3439[/C][C]0.365964[/C][/ROW]
[ROW][C]30[/C][C]-0.083714[/C][C]-0.7103[/C][C]0.239894[/C][/ROW]
[ROW][C]31[/C][C]-0.092228[/C][C]-0.7826[/C][C]0.218219[/C][/ROW]
[ROW][C]32[/C][C]-0.039383[/C][C]-0.3342[/C][C]0.369608[/C][/ROW]
[ROW][C]33[/C][C]-0.062698[/C][C]-0.532[/C][C]0.298178[/C][/ROW]
[ROW][C]34[/C][C]-0.105144[/C][C]-0.8922[/C][C]0.187634[/C][/ROW]
[ROW][C]35[/C][C]-0.020036[/C][C]-0.17[/C][C]0.432739[/C][/ROW]
[ROW][C]36[/C][C]-0.112364[/C][C]-0.9534[/C][C]0.171778[/C][/ROW]
[ROW][C]37[/C][C]0.052973[/C][C]0.4495[/C][C]0.327214[/C][/ROW]
[ROW][C]38[/C][C]-0.065032[/C][C]-0.5518[/C][C]0.291391[/C][/ROW]
[ROW][C]39[/C][C]0.067839[/C][C]0.5756[/C][C]0.283328[/C][/ROW]
[ROW][C]40[/C][C]-0.036301[/C][C]-0.308[/C][C]0.379476[/C][/ROW]
[ROW][C]41[/C][C]0.015783[/C][C]0.1339[/C][C]0.44692[/C][/ROW]
[ROW][C]42[/C][C]0.123783[/C][C]1.0503[/C][C]0.148539[/C][/ROW]
[ROW][C]43[/C][C]0.023887[/C][C]0.2027[/C][C]0.419975[/C][/ROW]
[ROW][C]44[/C][C]0.012996[/C][C]0.1103[/C][C]0.456251[/C][/ROW]
[ROW][C]45[/C][C]-0.082241[/C][C]-0.6978[/C][C]0.243764[/C][/ROW]
[ROW][C]46[/C][C]-0.15828[/C][C]-1.343[/C][C]0.091737[/C][/ROW]
[ROW][C]47[/C][C]-0.001675[/C][C]-0.0142[/C][C]0.494351[/C][/ROW]
[ROW][C]48[/C][C]-0.089526[/C][C]-0.7596[/C][C]0.224972[/C][/ROW]
[ROW][C]49[/C][C]0.001243[/C][C]0.0105[/C][C]0.495808[/C][/ROW]
[ROW][C]50[/C][C]0.008984[/C][C]0.0762[/C][C]0.469723[/C][/ROW]
[ROW][C]51[/C][C]-0.102664[/C][C]-0.8711[/C][C]0.193289[/C][/ROW]
[ROW][C]52[/C][C]-0.00389[/C][C]-0.033[/C][C]0.48688[/C][/ROW]
[ROW][C]53[/C][C]0.027699[/C][C]0.235[/C][C]0.407426[/C][/ROW]
[ROW][C]54[/C][C]0.037794[/C][C]0.3207[/C][C]0.374687[/C][/ROW]
[ROW][C]55[/C][C]0.03662[/C][C]0.3107[/C][C]0.378451[/C][/ROW]
[ROW][C]56[/C][C]0.067903[/C][C]0.5762[/C][C]0.283147[/C][/ROW]
[ROW][C]57[/C][C]-0.046733[/C][C]-0.3965[/C][C]0.34644[/C][/ROW]
[ROW][C]58[/C][C]-0.008328[/C][C]-0.0707[/C][C]0.471932[/C][/ROW]
[ROW][C]59[/C][C]0.023424[/C][C]0.1988[/C][C]0.421507[/C][/ROW]
[ROW][C]60[/C][C]0.012387[/C][C]0.1051[/C][C]0.458291[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33916&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33916&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
10.3744493.17730.001095
20.2120781.79950.038061
30.1324621.1240.132377
4-0.175357-1.4880.070565
5-0.029972-0.25430.399988
60.1616531.37170.087212
70.0814920.69150.245744
8-0.075987-0.64480.260562
90.2027891.72070.044798
10-0.240532-2.0410.02246
110.0577890.49040.312685
12-0.377605-3.20410.00101
130.0553330.46950.320059
140.1984421.68380.048272
15-0.024335-0.20650.418496
16-0.098798-0.83830.202311
170.1184061.00470.159201
18-0.085008-0.72130.236525
190.0790720.67090.2522
200.1251581.0620.145893
210.0388640.32980.371264
22-0.028658-0.24320.404284
230.0048710.04130.483572
24-0.042103-0.35730.360972
250.0547380.46450.321858
260.1293661.09770.137995
270.0603850.51240.304976
28-0.070096-0.59480.276926
29-0.040528-0.34390.365964
30-0.083714-0.71030.239894
31-0.092228-0.78260.218219
32-0.039383-0.33420.369608
33-0.062698-0.5320.298178
34-0.105144-0.89220.187634
35-0.020036-0.170.432739
36-0.112364-0.95340.171778
370.0529730.44950.327214
38-0.065032-0.55180.291391
390.0678390.57560.283328
40-0.036301-0.3080.379476
410.0157830.13390.44692
420.1237831.05030.148539
430.0238870.20270.419975
440.0129960.11030.456251
45-0.082241-0.69780.243764
46-0.15828-1.3430.091737
47-0.001675-0.01420.494351
48-0.089526-0.75960.224972
490.0012430.01050.495808
500.0089840.07620.469723
51-0.102664-0.87110.193289
52-0.00389-0.0330.48688
530.0276990.2350.407426
540.0377940.32070.374687
550.036620.31070.378451
560.0679030.57620.283147
57-0.046733-0.39650.34644
58-0.008328-0.07070.471932
590.0234240.19880.421507
600.0123870.10510.458291



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')