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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 computationFri, 19 Dec 2008 02:47:25 -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/19/t1229680104ookciazeygg4bc4.htm/, Retrieved Wed, 15 May 2024 23:47:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35011, Retrieved Wed, 15 May 2024 23:47:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact222
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [tinneke_debock.pa...] [2008-12-18 18:24:23] [f9c5a49917ff87aeb076072f2749ef70]
- RMPD  [(Partial) Autocorrelation Function] [tinneke_debock.pa...] [2008-12-18 19:00:06] [f9c5a49917ff87aeb076072f2749ef70]
-   PD    [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:30:17] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-    D      [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:33:45] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   PD        [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:44:19] [fdc296cbeb5d8064cb0dbd634c3fdc55]
-   P             [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-19 09:47:25] [e221948dd14811c7d88a6530ac2a8702] [Current]
-   P               [(Partial) Autocorrelation Function] [Paper statistiek_...] [2008-12-20 14:10:57] [fdc296cbeb5d8064cb0dbd634c3fdc55]
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Dataseries X:
98.6
98
106.8
96.7
100.2
107.7
92
98.4
107.4
117.7
105.7
97.5
99.9
98.2
104.5
100.8
101.5
103.9
99.6
98.4
112.7
118.4
108.1
105.4
114.6
106.9
115.9
109.8
101.8
114.2
110.8
108.4
127.5
128.6
116.6
127.4
105
108.3
125
111.6
106.5
130.3
115
116.1
134
126.5
125.8
136.4
114.9
110.9
125.5
116.8
116.8
125.5
104.2
115.1
132.8
123.3
124.8
122
117.4
117.9
137.4
114.6
124.7
129.6
109.4
120.9
134.9
136.3
133.2
127.2
122.7
120.5
137.8
119.1
124.3
134.4
121.1
122.2
127.7
137.4
132.2
129.2
124.9
124.8
128.2
134.4
118.6
132.6
123.2
112.8
138.3




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=35011&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=35011&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35011&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
1-0.501361-4.48431.2e-05
2-0.056398-0.50440.307668
30.1831651.63830.052645
4-0.194246-1.73740.043084
50.0658220.58870.278851
60.1766431.57990.059033
7-0.28059-2.50970.007051
80.0445290.39830.345741
90.2702392.41710.00896
10-0.258354-2.31080.01171
110.1145891.02490.154245
12-0.004373-0.03910.484449
13-0.204614-1.83010.035478
140.2106241.88390.031608
15-0.009874-0.08830.464922
16-0.222253-1.98790.025122
170.3027282.70770.004141
18-0.069206-0.6190.268838
19-0.152064-1.36010.088809
200.1182411.05760.146716
21-0.011264-0.10070.460001
22-0.14837-1.32710.094132
230.361563.23390.000888
24-0.327863-2.93250.002192
250.0302550.27060.393693
260.1051810.94080.174829
27-0.001955-0.01750.493044
28-0.072387-0.64750.259596
290.0673240.60220.274384
30-0.095939-0.85810.1967
310.0245390.21950.413417
320.1793261.60390.056335
33-0.202375-1.81010.037018
340.0243550.21780.414057
350.0691180.61820.269098
36-0.114587-1.02490.154251
370.1570221.40440.082028
380.0033140.02960.488212
39-0.157648-1.410.081201
400.1284041.14850.127096
41-0.030369-0.27160.393305
42-0.074083-0.66260.25474
430.0552180.49390.311372
440.0688320.61570.269936
45-0.180448-1.6140.055235
460.2165251.93670.028159
47-0.078896-0.70570.241223
48-0.077893-0.69670.244006
490.103450.92530.1788
50-0.048032-0.42960.334317
51-0.118064-1.0560.147074
520.2052841.83610.035028
53-0.120811-1.08060.141568
540.0115950.10370.45883
550.1374111.2290.111329
56-0.191005-1.70840.04572
570.0455060.4070.342541
580.0555710.4970.31026
59-0.088129-0.78830.216439
600.0654710.58560.279899

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.501361 & -4.4843 & 1.2e-05 \tabularnewline
2 & -0.056398 & -0.5044 & 0.307668 \tabularnewline
3 & 0.183165 & 1.6383 & 0.052645 \tabularnewline
4 & -0.194246 & -1.7374 & 0.043084 \tabularnewline
5 & 0.065822 & 0.5887 & 0.278851 \tabularnewline
6 & 0.176643 & 1.5799 & 0.059033 \tabularnewline
7 & -0.28059 & -2.5097 & 0.007051 \tabularnewline
8 & 0.044529 & 0.3983 & 0.345741 \tabularnewline
9 & 0.270239 & 2.4171 & 0.00896 \tabularnewline
10 & -0.258354 & -2.3108 & 0.01171 \tabularnewline
11 & 0.114589 & 1.0249 & 0.154245 \tabularnewline
12 & -0.004373 & -0.0391 & 0.484449 \tabularnewline
13 & -0.204614 & -1.8301 & 0.035478 \tabularnewline
14 & 0.210624 & 1.8839 & 0.031608 \tabularnewline
15 & -0.009874 & -0.0883 & 0.464922 \tabularnewline
16 & -0.222253 & -1.9879 & 0.025122 \tabularnewline
17 & 0.302728 & 2.7077 & 0.004141 \tabularnewline
18 & -0.069206 & -0.619 & 0.268838 \tabularnewline
19 & -0.152064 & -1.3601 & 0.088809 \tabularnewline
20 & 0.118241 & 1.0576 & 0.146716 \tabularnewline
21 & -0.011264 & -0.1007 & 0.460001 \tabularnewline
22 & -0.14837 & -1.3271 & 0.094132 \tabularnewline
23 & 0.36156 & 3.2339 & 0.000888 \tabularnewline
24 & -0.327863 & -2.9325 & 0.002192 \tabularnewline
25 & 0.030255 & 0.2706 & 0.393693 \tabularnewline
26 & 0.105181 & 0.9408 & 0.174829 \tabularnewline
27 & -0.001955 & -0.0175 & 0.493044 \tabularnewline
28 & -0.072387 & -0.6475 & 0.259596 \tabularnewline
29 & 0.067324 & 0.6022 & 0.274384 \tabularnewline
30 & -0.095939 & -0.8581 & 0.1967 \tabularnewline
31 & 0.024539 & 0.2195 & 0.413417 \tabularnewline
32 & 0.179326 & 1.6039 & 0.056335 \tabularnewline
33 & -0.202375 & -1.8101 & 0.037018 \tabularnewline
34 & 0.024355 & 0.2178 & 0.414057 \tabularnewline
35 & 0.069118 & 0.6182 & 0.269098 \tabularnewline
36 & -0.114587 & -1.0249 & 0.154251 \tabularnewline
37 & 0.157022 & 1.4044 & 0.082028 \tabularnewline
38 & 0.003314 & 0.0296 & 0.488212 \tabularnewline
39 & -0.157648 & -1.41 & 0.081201 \tabularnewline
40 & 0.128404 & 1.1485 & 0.127096 \tabularnewline
41 & -0.030369 & -0.2716 & 0.393305 \tabularnewline
42 & -0.074083 & -0.6626 & 0.25474 \tabularnewline
43 & 0.055218 & 0.4939 & 0.311372 \tabularnewline
44 & 0.068832 & 0.6157 & 0.269936 \tabularnewline
45 & -0.180448 & -1.614 & 0.055235 \tabularnewline
46 & 0.216525 & 1.9367 & 0.028159 \tabularnewline
47 & -0.078896 & -0.7057 & 0.241223 \tabularnewline
48 & -0.077893 & -0.6967 & 0.244006 \tabularnewline
49 & 0.10345 & 0.9253 & 0.1788 \tabularnewline
50 & -0.048032 & -0.4296 & 0.334317 \tabularnewline
51 & -0.118064 & -1.056 & 0.147074 \tabularnewline
52 & 0.205284 & 1.8361 & 0.035028 \tabularnewline
53 & -0.120811 & -1.0806 & 0.141568 \tabularnewline
54 & 0.011595 & 0.1037 & 0.45883 \tabularnewline
55 & 0.137411 & 1.229 & 0.111329 \tabularnewline
56 & -0.191005 & -1.7084 & 0.04572 \tabularnewline
57 & 0.045506 & 0.407 & 0.342541 \tabularnewline
58 & 0.055571 & 0.497 & 0.31026 \tabularnewline
59 & -0.088129 & -0.7883 & 0.216439 \tabularnewline
60 & 0.065471 & 0.5856 & 0.279899 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35011&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]-0.501361[/C][C]-4.4843[/C][C]1.2e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.056398[/C][C]-0.5044[/C][C]0.307668[/C][/ROW]
[ROW][C]3[/C][C]0.183165[/C][C]1.6383[/C][C]0.052645[/C][/ROW]
[ROW][C]4[/C][C]-0.194246[/C][C]-1.7374[/C][C]0.043084[/C][/ROW]
[ROW][C]5[/C][C]0.065822[/C][C]0.5887[/C][C]0.278851[/C][/ROW]
[ROW][C]6[/C][C]0.176643[/C][C]1.5799[/C][C]0.059033[/C][/ROW]
[ROW][C]7[/C][C]-0.28059[/C][C]-2.5097[/C][C]0.007051[/C][/ROW]
[ROW][C]8[/C][C]0.044529[/C][C]0.3983[/C][C]0.345741[/C][/ROW]
[ROW][C]9[/C][C]0.270239[/C][C]2.4171[/C][C]0.00896[/C][/ROW]
[ROW][C]10[/C][C]-0.258354[/C][C]-2.3108[/C][C]0.01171[/C][/ROW]
[ROW][C]11[/C][C]0.114589[/C][C]1.0249[/C][C]0.154245[/C][/ROW]
[ROW][C]12[/C][C]-0.004373[/C][C]-0.0391[/C][C]0.484449[/C][/ROW]
[ROW][C]13[/C][C]-0.204614[/C][C]-1.8301[/C][C]0.035478[/C][/ROW]
[ROW][C]14[/C][C]0.210624[/C][C]1.8839[/C][C]0.031608[/C][/ROW]
[ROW][C]15[/C][C]-0.009874[/C][C]-0.0883[/C][C]0.464922[/C][/ROW]
[ROW][C]16[/C][C]-0.222253[/C][C]-1.9879[/C][C]0.025122[/C][/ROW]
[ROW][C]17[/C][C]0.302728[/C][C]2.7077[/C][C]0.004141[/C][/ROW]
[ROW][C]18[/C][C]-0.069206[/C][C]-0.619[/C][C]0.268838[/C][/ROW]
[ROW][C]19[/C][C]-0.152064[/C][C]-1.3601[/C][C]0.088809[/C][/ROW]
[ROW][C]20[/C][C]0.118241[/C][C]1.0576[/C][C]0.146716[/C][/ROW]
[ROW][C]21[/C][C]-0.011264[/C][C]-0.1007[/C][C]0.460001[/C][/ROW]
[ROW][C]22[/C][C]-0.14837[/C][C]-1.3271[/C][C]0.094132[/C][/ROW]
[ROW][C]23[/C][C]0.36156[/C][C]3.2339[/C][C]0.000888[/C][/ROW]
[ROW][C]24[/C][C]-0.327863[/C][C]-2.9325[/C][C]0.002192[/C][/ROW]
[ROW][C]25[/C][C]0.030255[/C][C]0.2706[/C][C]0.393693[/C][/ROW]
[ROW][C]26[/C][C]0.105181[/C][C]0.9408[/C][C]0.174829[/C][/ROW]
[ROW][C]27[/C][C]-0.001955[/C][C]-0.0175[/C][C]0.493044[/C][/ROW]
[ROW][C]28[/C][C]-0.072387[/C][C]-0.6475[/C][C]0.259596[/C][/ROW]
[ROW][C]29[/C][C]0.067324[/C][C]0.6022[/C][C]0.274384[/C][/ROW]
[ROW][C]30[/C][C]-0.095939[/C][C]-0.8581[/C][C]0.1967[/C][/ROW]
[ROW][C]31[/C][C]0.024539[/C][C]0.2195[/C][C]0.413417[/C][/ROW]
[ROW][C]32[/C][C]0.179326[/C][C]1.6039[/C][C]0.056335[/C][/ROW]
[ROW][C]33[/C][C]-0.202375[/C][C]-1.8101[/C][C]0.037018[/C][/ROW]
[ROW][C]34[/C][C]0.024355[/C][C]0.2178[/C][C]0.414057[/C][/ROW]
[ROW][C]35[/C][C]0.069118[/C][C]0.6182[/C][C]0.269098[/C][/ROW]
[ROW][C]36[/C][C]-0.114587[/C][C]-1.0249[/C][C]0.154251[/C][/ROW]
[ROW][C]37[/C][C]0.157022[/C][C]1.4044[/C][C]0.082028[/C][/ROW]
[ROW][C]38[/C][C]0.003314[/C][C]0.0296[/C][C]0.488212[/C][/ROW]
[ROW][C]39[/C][C]-0.157648[/C][C]-1.41[/C][C]0.081201[/C][/ROW]
[ROW][C]40[/C][C]0.128404[/C][C]1.1485[/C][C]0.127096[/C][/ROW]
[ROW][C]41[/C][C]-0.030369[/C][C]-0.2716[/C][C]0.393305[/C][/ROW]
[ROW][C]42[/C][C]-0.074083[/C][C]-0.6626[/C][C]0.25474[/C][/ROW]
[ROW][C]43[/C][C]0.055218[/C][C]0.4939[/C][C]0.311372[/C][/ROW]
[ROW][C]44[/C][C]0.068832[/C][C]0.6157[/C][C]0.269936[/C][/ROW]
[ROW][C]45[/C][C]-0.180448[/C][C]-1.614[/C][C]0.055235[/C][/ROW]
[ROW][C]46[/C][C]0.216525[/C][C]1.9367[/C][C]0.028159[/C][/ROW]
[ROW][C]47[/C][C]-0.078896[/C][C]-0.7057[/C][C]0.241223[/C][/ROW]
[ROW][C]48[/C][C]-0.077893[/C][C]-0.6967[/C][C]0.244006[/C][/ROW]
[ROW][C]49[/C][C]0.10345[/C][C]0.9253[/C][C]0.1788[/C][/ROW]
[ROW][C]50[/C][C]-0.048032[/C][C]-0.4296[/C][C]0.334317[/C][/ROW]
[ROW][C]51[/C][C]-0.118064[/C][C]-1.056[/C][C]0.147074[/C][/ROW]
[ROW][C]52[/C][C]0.205284[/C][C]1.8361[/C][C]0.035028[/C][/ROW]
[ROW][C]53[/C][C]-0.120811[/C][C]-1.0806[/C][C]0.141568[/C][/ROW]
[ROW][C]54[/C][C]0.011595[/C][C]0.1037[/C][C]0.45883[/C][/ROW]
[ROW][C]55[/C][C]0.137411[/C][C]1.229[/C][C]0.111329[/C][/ROW]
[ROW][C]56[/C][C]-0.191005[/C][C]-1.7084[/C][C]0.04572[/C][/ROW]
[ROW][C]57[/C][C]0.045506[/C][C]0.407[/C][C]0.342541[/C][/ROW]
[ROW][C]58[/C][C]0.055571[/C][C]0.497[/C][C]0.31026[/C][/ROW]
[ROW][C]59[/C][C]-0.088129[/C][C]-0.7883[/C][C]0.216439[/C][/ROW]
[ROW][C]60[/C][C]0.065471[/C][C]0.5856[/C][C]0.279899[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35011&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35011&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
1-0.501361-4.48431.2e-05
2-0.056398-0.50440.307668
30.1831651.63830.052645
4-0.194246-1.73740.043084
50.0658220.58870.278851
60.1766431.57990.059033
7-0.28059-2.50970.007051
80.0445290.39830.345741
90.2702392.41710.00896
10-0.258354-2.31080.01171
110.1145891.02490.154245
12-0.004373-0.03910.484449
13-0.204614-1.83010.035478
140.2106241.88390.031608
15-0.009874-0.08830.464922
16-0.222253-1.98790.025122
170.3027282.70770.004141
18-0.069206-0.6190.268838
19-0.152064-1.36010.088809
200.1182411.05760.146716
21-0.011264-0.10070.460001
22-0.14837-1.32710.094132
230.361563.23390.000888
24-0.327863-2.93250.002192
250.0302550.27060.393693
260.1051810.94080.174829
27-0.001955-0.01750.493044
28-0.072387-0.64750.259596
290.0673240.60220.274384
30-0.095939-0.85810.1967
310.0245390.21950.413417
320.1793261.60390.056335
33-0.202375-1.81010.037018
340.0243550.21780.414057
350.0691180.61820.269098
36-0.114587-1.02490.154251
370.1570221.40440.082028
380.0033140.02960.488212
39-0.157648-1.410.081201
400.1284041.14850.127096
41-0.030369-0.27160.393305
42-0.074083-0.66260.25474
430.0552180.49390.311372
440.0688320.61570.269936
45-0.180448-1.6140.055235
460.2165251.93670.028159
47-0.078896-0.70570.241223
48-0.077893-0.69670.244006
490.103450.92530.1788
50-0.048032-0.42960.334317
51-0.118064-1.0560.147074
520.2052841.83610.035028
53-0.120811-1.08060.141568
540.0115950.10370.45883
550.1374111.2290.111329
56-0.191005-1.70840.04572
570.0455060.4070.342541
580.0555710.4970.31026
59-0.088129-0.78830.216439
600.0654710.58560.279899







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.501361-4.48431.2e-05
2-0.411096-3.6770.000213
3-0.101013-0.90350.184489
4-0.2191-1.95970.026757
5-0.172315-1.54120.063604
60.1188871.06340.145409
7-0.105394-0.94270.174343
8-0.234011-2.09310.019756
90.144481.29230.099992
100.0697580.62390.267222
110.0666670.59630.276333
120.0148590.13290.447303
13-0.152773-1.36640.087814
14-0.10997-0.98360.16414
15-0.084852-0.75890.22506
16-0.234523-2.09760.019547
170.038080.34060.367148
180.139871.2510.107283
190.0109240.09770.461205
20-0.161195-1.44180.076635
210.0287270.25690.398941
22-0.087501-0.78260.218076
230.2251242.01360.023708
240.0172720.15450.438808
25-0.004996-0.04470.482235
26-0.275588-2.46490.007923
27-0.02163-0.19350.423543
28-0.087509-0.78270.218056
29-0.01971-0.17630.430256
300.0550920.49280.311765
310.0046680.04170.483401
32-0.048477-0.43360.332877
330.0297580.26620.395398
34-0.060595-0.5420.294669
350.0323830.28960.386419
36-0.072963-0.65260.257944
370.1069660.95670.170793
380.061710.5520.29126
390.068830.61560.26994
40-0.096044-0.8590.196442
41-0.077534-0.69350.245006
42-0.068435-0.61210.271104
43-0.014684-0.13130.44792
440.0369590.33060.370917
45-0.005663-0.05070.479864
46-0.036809-0.32920.371421
470.1080430.96640.168387
48-0.024278-0.21710.414323
490.0375580.33590.368901
50-0.009308-0.08330.466928
51-0.036201-0.32380.373469
520.0217530.19460.423115
53-0.038474-0.34410.36583
54-0.07277-0.65090.258497
55-0.025396-0.22720.410442
56-0.02894-0.25880.39821
570.029960.2680.394706
58-0.081098-0.72540.235174
59-0.010541-0.09430.46256
60-0.048964-0.43790.331302

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.501361 & -4.4843 & 1.2e-05 \tabularnewline
2 & -0.411096 & -3.677 & 0.000213 \tabularnewline
3 & -0.101013 & -0.9035 & 0.184489 \tabularnewline
4 & -0.2191 & -1.9597 & 0.026757 \tabularnewline
5 & -0.172315 & -1.5412 & 0.063604 \tabularnewline
6 & 0.118887 & 1.0634 & 0.145409 \tabularnewline
7 & -0.105394 & -0.9427 & 0.174343 \tabularnewline
8 & -0.234011 & -2.0931 & 0.019756 \tabularnewline
9 & 0.14448 & 1.2923 & 0.099992 \tabularnewline
10 & 0.069758 & 0.6239 & 0.267222 \tabularnewline
11 & 0.066667 & 0.5963 & 0.276333 \tabularnewline
12 & 0.014859 & 0.1329 & 0.447303 \tabularnewline
13 & -0.152773 & -1.3664 & 0.087814 \tabularnewline
14 & -0.10997 & -0.9836 & 0.16414 \tabularnewline
15 & -0.084852 & -0.7589 & 0.22506 \tabularnewline
16 & -0.234523 & -2.0976 & 0.019547 \tabularnewline
17 & 0.03808 & 0.3406 & 0.367148 \tabularnewline
18 & 0.13987 & 1.251 & 0.107283 \tabularnewline
19 & 0.010924 & 0.0977 & 0.461205 \tabularnewline
20 & -0.161195 & -1.4418 & 0.076635 \tabularnewline
21 & 0.028727 & 0.2569 & 0.398941 \tabularnewline
22 & -0.087501 & -0.7826 & 0.218076 \tabularnewline
23 & 0.225124 & 2.0136 & 0.023708 \tabularnewline
24 & 0.017272 & 0.1545 & 0.438808 \tabularnewline
25 & -0.004996 & -0.0447 & 0.482235 \tabularnewline
26 & -0.275588 & -2.4649 & 0.007923 \tabularnewline
27 & -0.02163 & -0.1935 & 0.423543 \tabularnewline
28 & -0.087509 & -0.7827 & 0.218056 \tabularnewline
29 & -0.01971 & -0.1763 & 0.430256 \tabularnewline
30 & 0.055092 & 0.4928 & 0.311765 \tabularnewline
31 & 0.004668 & 0.0417 & 0.483401 \tabularnewline
32 & -0.048477 & -0.4336 & 0.332877 \tabularnewline
33 & 0.029758 & 0.2662 & 0.395398 \tabularnewline
34 & -0.060595 & -0.542 & 0.294669 \tabularnewline
35 & 0.032383 & 0.2896 & 0.386419 \tabularnewline
36 & -0.072963 & -0.6526 & 0.257944 \tabularnewline
37 & 0.106966 & 0.9567 & 0.170793 \tabularnewline
38 & 0.06171 & 0.552 & 0.29126 \tabularnewline
39 & 0.06883 & 0.6156 & 0.26994 \tabularnewline
40 & -0.096044 & -0.859 & 0.196442 \tabularnewline
41 & -0.077534 & -0.6935 & 0.245006 \tabularnewline
42 & -0.068435 & -0.6121 & 0.271104 \tabularnewline
43 & -0.014684 & -0.1313 & 0.44792 \tabularnewline
44 & 0.036959 & 0.3306 & 0.370917 \tabularnewline
45 & -0.005663 & -0.0507 & 0.479864 \tabularnewline
46 & -0.036809 & -0.3292 & 0.371421 \tabularnewline
47 & 0.108043 & 0.9664 & 0.168387 \tabularnewline
48 & -0.024278 & -0.2171 & 0.414323 \tabularnewline
49 & 0.037558 & 0.3359 & 0.368901 \tabularnewline
50 & -0.009308 & -0.0833 & 0.466928 \tabularnewline
51 & -0.036201 & -0.3238 & 0.373469 \tabularnewline
52 & 0.021753 & 0.1946 & 0.423115 \tabularnewline
53 & -0.038474 & -0.3441 & 0.36583 \tabularnewline
54 & -0.07277 & -0.6509 & 0.258497 \tabularnewline
55 & -0.025396 & -0.2272 & 0.410442 \tabularnewline
56 & -0.02894 & -0.2588 & 0.39821 \tabularnewline
57 & 0.02996 & 0.268 & 0.394706 \tabularnewline
58 & -0.081098 & -0.7254 & 0.235174 \tabularnewline
59 & -0.010541 & -0.0943 & 0.46256 \tabularnewline
60 & -0.048964 & -0.4379 & 0.331302 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35011&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]-0.501361[/C][C]-4.4843[/C][C]1.2e-05[/C][/ROW]
[ROW][C]2[/C][C]-0.411096[/C][C]-3.677[/C][C]0.000213[/C][/ROW]
[ROW][C]3[/C][C]-0.101013[/C][C]-0.9035[/C][C]0.184489[/C][/ROW]
[ROW][C]4[/C][C]-0.2191[/C][C]-1.9597[/C][C]0.026757[/C][/ROW]
[ROW][C]5[/C][C]-0.172315[/C][C]-1.5412[/C][C]0.063604[/C][/ROW]
[ROW][C]6[/C][C]0.118887[/C][C]1.0634[/C][C]0.145409[/C][/ROW]
[ROW][C]7[/C][C]-0.105394[/C][C]-0.9427[/C][C]0.174343[/C][/ROW]
[ROW][C]8[/C][C]-0.234011[/C][C]-2.0931[/C][C]0.019756[/C][/ROW]
[ROW][C]9[/C][C]0.14448[/C][C]1.2923[/C][C]0.099992[/C][/ROW]
[ROW][C]10[/C][C]0.069758[/C][C]0.6239[/C][C]0.267222[/C][/ROW]
[ROW][C]11[/C][C]0.066667[/C][C]0.5963[/C][C]0.276333[/C][/ROW]
[ROW][C]12[/C][C]0.014859[/C][C]0.1329[/C][C]0.447303[/C][/ROW]
[ROW][C]13[/C][C]-0.152773[/C][C]-1.3664[/C][C]0.087814[/C][/ROW]
[ROW][C]14[/C][C]-0.10997[/C][C]-0.9836[/C][C]0.16414[/C][/ROW]
[ROW][C]15[/C][C]-0.084852[/C][C]-0.7589[/C][C]0.22506[/C][/ROW]
[ROW][C]16[/C][C]-0.234523[/C][C]-2.0976[/C][C]0.019547[/C][/ROW]
[ROW][C]17[/C][C]0.03808[/C][C]0.3406[/C][C]0.367148[/C][/ROW]
[ROW][C]18[/C][C]0.13987[/C][C]1.251[/C][C]0.107283[/C][/ROW]
[ROW][C]19[/C][C]0.010924[/C][C]0.0977[/C][C]0.461205[/C][/ROW]
[ROW][C]20[/C][C]-0.161195[/C][C]-1.4418[/C][C]0.076635[/C][/ROW]
[ROW][C]21[/C][C]0.028727[/C][C]0.2569[/C][C]0.398941[/C][/ROW]
[ROW][C]22[/C][C]-0.087501[/C][C]-0.7826[/C][C]0.218076[/C][/ROW]
[ROW][C]23[/C][C]0.225124[/C][C]2.0136[/C][C]0.023708[/C][/ROW]
[ROW][C]24[/C][C]0.017272[/C][C]0.1545[/C][C]0.438808[/C][/ROW]
[ROW][C]25[/C][C]-0.004996[/C][C]-0.0447[/C][C]0.482235[/C][/ROW]
[ROW][C]26[/C][C]-0.275588[/C][C]-2.4649[/C][C]0.007923[/C][/ROW]
[ROW][C]27[/C][C]-0.02163[/C][C]-0.1935[/C][C]0.423543[/C][/ROW]
[ROW][C]28[/C][C]-0.087509[/C][C]-0.7827[/C][C]0.218056[/C][/ROW]
[ROW][C]29[/C][C]-0.01971[/C][C]-0.1763[/C][C]0.430256[/C][/ROW]
[ROW][C]30[/C][C]0.055092[/C][C]0.4928[/C][C]0.311765[/C][/ROW]
[ROW][C]31[/C][C]0.004668[/C][C]0.0417[/C][C]0.483401[/C][/ROW]
[ROW][C]32[/C][C]-0.048477[/C][C]-0.4336[/C][C]0.332877[/C][/ROW]
[ROW][C]33[/C][C]0.029758[/C][C]0.2662[/C][C]0.395398[/C][/ROW]
[ROW][C]34[/C][C]-0.060595[/C][C]-0.542[/C][C]0.294669[/C][/ROW]
[ROW][C]35[/C][C]0.032383[/C][C]0.2896[/C][C]0.386419[/C][/ROW]
[ROW][C]36[/C][C]-0.072963[/C][C]-0.6526[/C][C]0.257944[/C][/ROW]
[ROW][C]37[/C][C]0.106966[/C][C]0.9567[/C][C]0.170793[/C][/ROW]
[ROW][C]38[/C][C]0.06171[/C][C]0.552[/C][C]0.29126[/C][/ROW]
[ROW][C]39[/C][C]0.06883[/C][C]0.6156[/C][C]0.26994[/C][/ROW]
[ROW][C]40[/C][C]-0.096044[/C][C]-0.859[/C][C]0.196442[/C][/ROW]
[ROW][C]41[/C][C]-0.077534[/C][C]-0.6935[/C][C]0.245006[/C][/ROW]
[ROW][C]42[/C][C]-0.068435[/C][C]-0.6121[/C][C]0.271104[/C][/ROW]
[ROW][C]43[/C][C]-0.014684[/C][C]-0.1313[/C][C]0.44792[/C][/ROW]
[ROW][C]44[/C][C]0.036959[/C][C]0.3306[/C][C]0.370917[/C][/ROW]
[ROW][C]45[/C][C]-0.005663[/C][C]-0.0507[/C][C]0.479864[/C][/ROW]
[ROW][C]46[/C][C]-0.036809[/C][C]-0.3292[/C][C]0.371421[/C][/ROW]
[ROW][C]47[/C][C]0.108043[/C][C]0.9664[/C][C]0.168387[/C][/ROW]
[ROW][C]48[/C][C]-0.024278[/C][C]-0.2171[/C][C]0.414323[/C][/ROW]
[ROW][C]49[/C][C]0.037558[/C][C]0.3359[/C][C]0.368901[/C][/ROW]
[ROW][C]50[/C][C]-0.009308[/C][C]-0.0833[/C][C]0.466928[/C][/ROW]
[ROW][C]51[/C][C]-0.036201[/C][C]-0.3238[/C][C]0.373469[/C][/ROW]
[ROW][C]52[/C][C]0.021753[/C][C]0.1946[/C][C]0.423115[/C][/ROW]
[ROW][C]53[/C][C]-0.038474[/C][C]-0.3441[/C][C]0.36583[/C][/ROW]
[ROW][C]54[/C][C]-0.07277[/C][C]-0.6509[/C][C]0.258497[/C][/ROW]
[ROW][C]55[/C][C]-0.025396[/C][C]-0.2272[/C][C]0.410442[/C][/ROW]
[ROW][C]56[/C][C]-0.02894[/C][C]-0.2588[/C][C]0.39821[/C][/ROW]
[ROW][C]57[/C][C]0.02996[/C][C]0.268[/C][C]0.394706[/C][/ROW]
[ROW][C]58[/C][C]-0.081098[/C][C]-0.7254[/C][C]0.235174[/C][/ROW]
[ROW][C]59[/C][C]-0.010541[/C][C]-0.0943[/C][C]0.46256[/C][/ROW]
[ROW][C]60[/C][C]-0.048964[/C][C]-0.4379[/C][C]0.331302[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35011&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35011&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
1-0.501361-4.48431.2e-05
2-0.411096-3.6770.000213
3-0.101013-0.90350.184489
4-0.2191-1.95970.026757
5-0.172315-1.54120.063604
60.1188871.06340.145409
7-0.105394-0.94270.174343
8-0.234011-2.09310.019756
90.144481.29230.099992
100.0697580.62390.267222
110.0666670.59630.276333
120.0148590.13290.447303
13-0.152773-1.36640.087814
14-0.10997-0.98360.16414
15-0.084852-0.75890.22506
16-0.234523-2.09760.019547
170.038080.34060.367148
180.139871.2510.107283
190.0109240.09770.461205
20-0.161195-1.44180.076635
210.0287270.25690.398941
22-0.087501-0.78260.218076
230.2251242.01360.023708
240.0172720.15450.438808
25-0.004996-0.04470.482235
26-0.275588-2.46490.007923
27-0.02163-0.19350.423543
28-0.087509-0.78270.218056
29-0.01971-0.17630.430256
300.0550920.49280.311765
310.0046680.04170.483401
32-0.048477-0.43360.332877
330.0297580.26620.395398
34-0.060595-0.5420.294669
350.0323830.28960.386419
36-0.072963-0.65260.257944
370.1069660.95670.170793
380.061710.5520.29126
390.068830.61560.26994
40-0.096044-0.8590.196442
41-0.077534-0.69350.245006
42-0.068435-0.61210.271104
43-0.014684-0.13130.44792
440.0369590.33060.370917
45-0.005663-0.05070.479864
46-0.036809-0.32920.371421
470.1080430.96640.168387
48-0.024278-0.21710.414323
490.0375580.33590.368901
50-0.009308-0.08330.466928
51-0.036201-0.32380.373469
520.0217530.19460.423115
53-0.038474-0.34410.36583
54-0.07277-0.65090.258497
55-0.025396-0.22720.410442
56-0.02894-0.25880.39821
570.029960.2680.394706
58-0.081098-0.72540.235174
59-0.010541-0.09430.46256
60-0.048964-0.43790.331302



Parameters (Session):
par1 = 60 ; par2 = -0.1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = -0.1 ; par3 = 1 ; 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')