Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 03:45:44 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/14/t1197628264zrdfzldaczj9gp7.htm/, Retrieved Fri, 03 May 2024 03:46:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3829, Retrieved Fri, 03 May 2024 03:46:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [IP,ACF,3e poging] [2007-12-14 10:45:44] [9474861d1948ba663981b67eaedfade5] [Current]
Feedback Forum

Post a new message
Dataseries X:
106.5
112.3
102.8
96.5
101.0
98.9
105.1
103.0
99.0
104.3
94.6
90.4
108.9
111.4
100.8
102.5
98.2
98.7
113.3
104.6
99.3
111.8
97.3
97.7
115.6
111.9
107.0
107.1
100.6
99.2
108.4
103.0
99.8
115.0
90.8
95.9
114.4
108.2
112.6
109.1
105.0
105.0
118.5
103.7
112.5
116.6
96.6
101.9
116.5
119.3
115.4
108.5
111.5
108.8
121.8
109.6
112.2
119.6
103.4
105.3
113.5




Summary of compuational 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 compuational 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=3829&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3829&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3829&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 compuational 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
016.92820
1-0.551687-3.82220.99981
2-0.029116-0.20170.579506
30.2979652.06440.022205
4-0.288649-1.99980.974402
50.1048270.72630.235602
60.1997461.38390.086399
7-0.293162-2.03110.976098
80.0371030.25710.399117
90.1858611.28770.102015
10-0.270793-1.87610.966636
110.2282821.58160.060156
12-0.117081-0.81120.789361
13-0.088451-0.61280.728552
140.1248510.8650.195673
15-0.021184-0.14680.558035
16-0.083096-0.57570.716249
170.125140.8670.195129
180.0412270.28560.388196
19-0.221568-1.53510.934334
200.1535311.06370.146395
210.0734560.50890.30657
22-0.220436-1.52720.933366
230.2365561.63890.053885
24-0.148485-1.02870.84562
25-0.089809-0.62220.731628
260.2416841.67440.050275
27-0.115988-0.80360.787202
28-0.083581-0.57910.717373
290.1459381.01110.158523
30-0.192341-1.33260.905519
310.1749051.21180.115765
320.0354330.24550.403563
33-0.200229-1.38720.91411
340.177471.22950.11243
35-0.027039-0.18730.573905
36-0.092116-0.63820.736811
370.12270.85010.199747
38-0.053929-0.37360.644838
39-0.068731-0.47620.681948
400.1042970.72260.236718
41-0.038423-0.26620.604388
42-0.048069-0.3330.62972
430.039920.27660.391647
440.0088970.06160.475552
45-0.040562-0.2810.610048
460.0112380.07790.469132
470.0134960.09350.462946

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & -0.551687 & -3.8222 & 0.99981 \tabularnewline
2 & -0.029116 & -0.2017 & 0.579506 \tabularnewline
3 & 0.297965 & 2.0644 & 0.022205 \tabularnewline
4 & -0.288649 & -1.9998 & 0.974402 \tabularnewline
5 & 0.104827 & 0.7263 & 0.235602 \tabularnewline
6 & 0.199746 & 1.3839 & 0.086399 \tabularnewline
7 & -0.293162 & -2.0311 & 0.976098 \tabularnewline
8 & 0.037103 & 0.2571 & 0.399117 \tabularnewline
9 & 0.185861 & 1.2877 & 0.102015 \tabularnewline
10 & -0.270793 & -1.8761 & 0.966636 \tabularnewline
11 & 0.228282 & 1.5816 & 0.060156 \tabularnewline
12 & -0.117081 & -0.8112 & 0.789361 \tabularnewline
13 & -0.088451 & -0.6128 & 0.728552 \tabularnewline
14 & 0.124851 & 0.865 & 0.195673 \tabularnewline
15 & -0.021184 & -0.1468 & 0.558035 \tabularnewline
16 & -0.083096 & -0.5757 & 0.716249 \tabularnewline
17 & 0.12514 & 0.867 & 0.195129 \tabularnewline
18 & 0.041227 & 0.2856 & 0.388196 \tabularnewline
19 & -0.221568 & -1.5351 & 0.934334 \tabularnewline
20 & 0.153531 & 1.0637 & 0.146395 \tabularnewline
21 & 0.073456 & 0.5089 & 0.30657 \tabularnewline
22 & -0.220436 & -1.5272 & 0.933366 \tabularnewline
23 & 0.236556 & 1.6389 & 0.053885 \tabularnewline
24 & -0.148485 & -1.0287 & 0.84562 \tabularnewline
25 & -0.089809 & -0.6222 & 0.731628 \tabularnewline
26 & 0.241684 & 1.6744 & 0.050275 \tabularnewline
27 & -0.115988 & -0.8036 & 0.787202 \tabularnewline
28 & -0.083581 & -0.5791 & 0.717373 \tabularnewline
29 & 0.145938 & 1.0111 & 0.158523 \tabularnewline
30 & -0.192341 & -1.3326 & 0.905519 \tabularnewline
31 & 0.174905 & 1.2118 & 0.115765 \tabularnewline
32 & 0.035433 & 0.2455 & 0.403563 \tabularnewline
33 & -0.200229 & -1.3872 & 0.91411 \tabularnewline
34 & 0.17747 & 1.2295 & 0.11243 \tabularnewline
35 & -0.027039 & -0.1873 & 0.573905 \tabularnewline
36 & -0.092116 & -0.6382 & 0.736811 \tabularnewline
37 & 0.1227 & 0.8501 & 0.199747 \tabularnewline
38 & -0.053929 & -0.3736 & 0.644838 \tabularnewline
39 & -0.068731 & -0.4762 & 0.681948 \tabularnewline
40 & 0.104297 & 0.7226 & 0.236718 \tabularnewline
41 & -0.038423 & -0.2662 & 0.604388 \tabularnewline
42 & -0.048069 & -0.333 & 0.62972 \tabularnewline
43 & 0.03992 & 0.2766 & 0.391647 \tabularnewline
44 & 0.008897 & 0.0616 & 0.475552 \tabularnewline
45 & -0.040562 & -0.281 & 0.610048 \tabularnewline
46 & 0.011238 & 0.0779 & 0.469132 \tabularnewline
47 & 0.013496 & 0.0935 & 0.462946 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3829&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]0[/C][C]1[/C][C]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.551687[/C][C]-3.8222[/C][C]0.99981[/C][/ROW]
[ROW][C]2[/C][C]-0.029116[/C][C]-0.2017[/C][C]0.579506[/C][/ROW]
[ROW][C]3[/C][C]0.297965[/C][C]2.0644[/C][C]0.022205[/C][/ROW]
[ROW][C]4[/C][C]-0.288649[/C][C]-1.9998[/C][C]0.974402[/C][/ROW]
[ROW][C]5[/C][C]0.104827[/C][C]0.7263[/C][C]0.235602[/C][/ROW]
[ROW][C]6[/C][C]0.199746[/C][C]1.3839[/C][C]0.086399[/C][/ROW]
[ROW][C]7[/C][C]-0.293162[/C][C]-2.0311[/C][C]0.976098[/C][/ROW]
[ROW][C]8[/C][C]0.037103[/C][C]0.2571[/C][C]0.399117[/C][/ROW]
[ROW][C]9[/C][C]0.185861[/C][C]1.2877[/C][C]0.102015[/C][/ROW]
[ROW][C]10[/C][C]-0.270793[/C][C]-1.8761[/C][C]0.966636[/C][/ROW]
[ROW][C]11[/C][C]0.228282[/C][C]1.5816[/C][C]0.060156[/C][/ROW]
[ROW][C]12[/C][C]-0.117081[/C][C]-0.8112[/C][C]0.789361[/C][/ROW]
[ROW][C]13[/C][C]-0.088451[/C][C]-0.6128[/C][C]0.728552[/C][/ROW]
[ROW][C]14[/C][C]0.124851[/C][C]0.865[/C][C]0.195673[/C][/ROW]
[ROW][C]15[/C][C]-0.021184[/C][C]-0.1468[/C][C]0.558035[/C][/ROW]
[ROW][C]16[/C][C]-0.083096[/C][C]-0.5757[/C][C]0.716249[/C][/ROW]
[ROW][C]17[/C][C]0.12514[/C][C]0.867[/C][C]0.195129[/C][/ROW]
[ROW][C]18[/C][C]0.041227[/C][C]0.2856[/C][C]0.388196[/C][/ROW]
[ROW][C]19[/C][C]-0.221568[/C][C]-1.5351[/C][C]0.934334[/C][/ROW]
[ROW][C]20[/C][C]0.153531[/C][C]1.0637[/C][C]0.146395[/C][/ROW]
[ROW][C]21[/C][C]0.073456[/C][C]0.5089[/C][C]0.30657[/C][/ROW]
[ROW][C]22[/C][C]-0.220436[/C][C]-1.5272[/C][C]0.933366[/C][/ROW]
[ROW][C]23[/C][C]0.236556[/C][C]1.6389[/C][C]0.053885[/C][/ROW]
[ROW][C]24[/C][C]-0.148485[/C][C]-1.0287[/C][C]0.84562[/C][/ROW]
[ROW][C]25[/C][C]-0.089809[/C][C]-0.6222[/C][C]0.731628[/C][/ROW]
[ROW][C]26[/C][C]0.241684[/C][C]1.6744[/C][C]0.050275[/C][/ROW]
[ROW][C]27[/C][C]-0.115988[/C][C]-0.8036[/C][C]0.787202[/C][/ROW]
[ROW][C]28[/C][C]-0.083581[/C][C]-0.5791[/C][C]0.717373[/C][/ROW]
[ROW][C]29[/C][C]0.145938[/C][C]1.0111[/C][C]0.158523[/C][/ROW]
[ROW][C]30[/C][C]-0.192341[/C][C]-1.3326[/C][C]0.905519[/C][/ROW]
[ROW][C]31[/C][C]0.174905[/C][C]1.2118[/C][C]0.115765[/C][/ROW]
[ROW][C]32[/C][C]0.035433[/C][C]0.2455[/C][C]0.403563[/C][/ROW]
[ROW][C]33[/C][C]-0.200229[/C][C]-1.3872[/C][C]0.91411[/C][/ROW]
[ROW][C]34[/C][C]0.17747[/C][C]1.2295[/C][C]0.11243[/C][/ROW]
[ROW][C]35[/C][C]-0.027039[/C][C]-0.1873[/C][C]0.573905[/C][/ROW]
[ROW][C]36[/C][C]-0.092116[/C][C]-0.6382[/C][C]0.736811[/C][/ROW]
[ROW][C]37[/C][C]0.1227[/C][C]0.8501[/C][C]0.199747[/C][/ROW]
[ROW][C]38[/C][C]-0.053929[/C][C]-0.3736[/C][C]0.644838[/C][/ROW]
[ROW][C]39[/C][C]-0.068731[/C][C]-0.4762[/C][C]0.681948[/C][/ROW]
[ROW][C]40[/C][C]0.104297[/C][C]0.7226[/C][C]0.236718[/C][/ROW]
[ROW][C]41[/C][C]-0.038423[/C][C]-0.2662[/C][C]0.604388[/C][/ROW]
[ROW][C]42[/C][C]-0.048069[/C][C]-0.333[/C][C]0.62972[/C][/ROW]
[ROW][C]43[/C][C]0.03992[/C][C]0.2766[/C][C]0.391647[/C][/ROW]
[ROW][C]44[/C][C]0.008897[/C][C]0.0616[/C][C]0.475552[/C][/ROW]
[ROW][C]45[/C][C]-0.040562[/C][C]-0.281[/C][C]0.610048[/C][/ROW]
[ROW][C]46[/C][C]0.011238[/C][C]0.0779[/C][C]0.469132[/C][/ROW]
[ROW][C]47[/C][C]0.013496[/C][C]0.0935[/C][C]0.462946[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3829&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3829&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
016.92820
1-0.551687-3.82220.99981
2-0.029116-0.20170.579506
30.2979652.06440.022205
4-0.288649-1.99980.974402
50.1048270.72630.235602
60.1997461.38390.086399
7-0.293162-2.03110.976098
80.0371030.25710.399117
90.1858611.28770.102015
10-0.270793-1.87610.966636
110.2282821.58160.060156
12-0.117081-0.81120.789361
13-0.088451-0.61280.728552
140.1248510.8650.195673
15-0.021184-0.14680.558035
16-0.083096-0.57570.716249
170.125140.8670.195129
180.0412270.28560.388196
19-0.221568-1.53510.934334
200.1535311.06370.146395
210.0734560.50890.30657
22-0.220436-1.52720.933366
230.2365561.63890.053885
24-0.148485-1.02870.84562
25-0.089809-0.62220.731628
260.2416841.67440.050275
27-0.115988-0.80360.787202
28-0.083581-0.57910.717373
290.1459381.01110.158523
30-0.192341-1.33260.905519
310.1749051.21180.115765
320.0354330.24550.403563
33-0.200229-1.38720.91411
340.177471.22950.11243
35-0.027039-0.18730.573905
36-0.092116-0.63820.736811
370.12270.85010.199747
38-0.053929-0.37360.644838
39-0.068731-0.47620.681948
400.1042970.72260.236718
41-0.038423-0.26620.604388
42-0.048069-0.3330.62972
430.039920.27660.391647
440.0088970.06160.475552
45-0.040562-0.2810.610048
460.0112380.07790.469132
470.0134960.09350.462946







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.551687-3.82220.99981
1-0.479376-3.32120.999141
20.0181730.12590.450165
3-0.096262-0.66690.745993
4-0.058105-0.40260.655471
50.2403971.66550.051162
60.0786910.54520.294073
7-0.204993-1.42020.918998
8-0.066134-0.45820.675558
9-0.158926-1.10110.861822
100.0290240.20110.420742
11-0.118205-0.81890.791568
12-0.081909-0.56750.713485
13-0.108265-0.75010.771566
14-0.030135-0.20880.582248
15-0.071992-0.49880.689892
160.0169090.11720.453615
170.3077262.1320.019076
180.0311110.21550.415128
19-0.253082-1.75340.957042
200.0096330.06670.473533
21-0.127136-0.88080.808599
22-0.003915-0.02710.510764
23-0.123798-0.85770.802338
24-0.074312-0.51480.69549
250.0285820.1980.421933
260.0484950.3360.369174
270.03060.2120.416502
280.0222690.15430.439016
29-0.116894-0.80990.788993
300.0770520.53380.29796
31-0.039425-0.27310.607043
32-0.020482-0.14190.556124
33-0.009686-0.06710.526613
340.0565880.39210.348377
35-0.016572-0.11480.545465
36-0.064259-0.44520.670912
37-0.029957-0.20750.581769
380.0196010.13580.446273
39-0.027814-0.19270.575997
400.0366480.25390.400327
41-0.02866-0.19860.578277
42-0.059971-0.41550.660182
43-0.115774-0.80210.786778
440.0341350.23650.407029
450.0277940.19260.424057
46-0.003387-0.02350.509313
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.551687 & -3.8222 & 0.99981 \tabularnewline
1 & -0.479376 & -3.3212 & 0.999141 \tabularnewline
2 & 0.018173 & 0.1259 & 0.450165 \tabularnewline
3 & -0.096262 & -0.6669 & 0.745993 \tabularnewline
4 & -0.058105 & -0.4026 & 0.655471 \tabularnewline
5 & 0.240397 & 1.6655 & 0.051162 \tabularnewline
6 & 0.078691 & 0.5452 & 0.294073 \tabularnewline
7 & -0.204993 & -1.4202 & 0.918998 \tabularnewline
8 & -0.066134 & -0.4582 & 0.675558 \tabularnewline
9 & -0.158926 & -1.1011 & 0.861822 \tabularnewline
10 & 0.029024 & 0.2011 & 0.420742 \tabularnewline
11 & -0.118205 & -0.8189 & 0.791568 \tabularnewline
12 & -0.081909 & -0.5675 & 0.713485 \tabularnewline
13 & -0.108265 & -0.7501 & 0.771566 \tabularnewline
14 & -0.030135 & -0.2088 & 0.582248 \tabularnewline
15 & -0.071992 & -0.4988 & 0.689892 \tabularnewline
16 & 0.016909 & 0.1172 & 0.453615 \tabularnewline
17 & 0.307726 & 2.132 & 0.019076 \tabularnewline
18 & 0.031111 & 0.2155 & 0.415128 \tabularnewline
19 & -0.253082 & -1.7534 & 0.957042 \tabularnewline
20 & 0.009633 & 0.0667 & 0.473533 \tabularnewline
21 & -0.127136 & -0.8808 & 0.808599 \tabularnewline
22 & -0.003915 & -0.0271 & 0.510764 \tabularnewline
23 & -0.123798 & -0.8577 & 0.802338 \tabularnewline
24 & -0.074312 & -0.5148 & 0.69549 \tabularnewline
25 & 0.028582 & 0.198 & 0.421933 \tabularnewline
26 & 0.048495 & 0.336 & 0.369174 \tabularnewline
27 & 0.0306 & 0.212 & 0.416502 \tabularnewline
28 & 0.022269 & 0.1543 & 0.439016 \tabularnewline
29 & -0.116894 & -0.8099 & 0.788993 \tabularnewline
30 & 0.077052 & 0.5338 & 0.29796 \tabularnewline
31 & -0.039425 & -0.2731 & 0.607043 \tabularnewline
32 & -0.020482 & -0.1419 & 0.556124 \tabularnewline
33 & -0.009686 & -0.0671 & 0.526613 \tabularnewline
34 & 0.056588 & 0.3921 & 0.348377 \tabularnewline
35 & -0.016572 & -0.1148 & 0.545465 \tabularnewline
36 & -0.064259 & -0.4452 & 0.670912 \tabularnewline
37 & -0.029957 & -0.2075 & 0.581769 \tabularnewline
38 & 0.019601 & 0.1358 & 0.446273 \tabularnewline
39 & -0.027814 & -0.1927 & 0.575997 \tabularnewline
40 & 0.036648 & 0.2539 & 0.400327 \tabularnewline
41 & -0.02866 & -0.1986 & 0.578277 \tabularnewline
42 & -0.059971 & -0.4155 & 0.660182 \tabularnewline
43 & -0.115774 & -0.8021 & 0.786778 \tabularnewline
44 & 0.034135 & 0.2365 & 0.407029 \tabularnewline
45 & 0.027794 & 0.1926 & 0.424057 \tabularnewline
46 & -0.003387 & -0.0235 & 0.509313 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3829&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]0[/C][C]-0.551687[/C][C]-3.8222[/C][C]0.99981[/C][/ROW]
[ROW][C]1[/C][C]-0.479376[/C][C]-3.3212[/C][C]0.999141[/C][/ROW]
[ROW][C]2[/C][C]0.018173[/C][C]0.1259[/C][C]0.450165[/C][/ROW]
[ROW][C]3[/C][C]-0.096262[/C][C]-0.6669[/C][C]0.745993[/C][/ROW]
[ROW][C]4[/C][C]-0.058105[/C][C]-0.4026[/C][C]0.655471[/C][/ROW]
[ROW][C]5[/C][C]0.240397[/C][C]1.6655[/C][C]0.051162[/C][/ROW]
[ROW][C]6[/C][C]0.078691[/C][C]0.5452[/C][C]0.294073[/C][/ROW]
[ROW][C]7[/C][C]-0.204993[/C][C]-1.4202[/C][C]0.918998[/C][/ROW]
[ROW][C]8[/C][C]-0.066134[/C][C]-0.4582[/C][C]0.675558[/C][/ROW]
[ROW][C]9[/C][C]-0.158926[/C][C]-1.1011[/C][C]0.861822[/C][/ROW]
[ROW][C]10[/C][C]0.029024[/C][C]0.2011[/C][C]0.420742[/C][/ROW]
[ROW][C]11[/C][C]-0.118205[/C][C]-0.8189[/C][C]0.791568[/C][/ROW]
[ROW][C]12[/C][C]-0.081909[/C][C]-0.5675[/C][C]0.713485[/C][/ROW]
[ROW][C]13[/C][C]-0.108265[/C][C]-0.7501[/C][C]0.771566[/C][/ROW]
[ROW][C]14[/C][C]-0.030135[/C][C]-0.2088[/C][C]0.582248[/C][/ROW]
[ROW][C]15[/C][C]-0.071992[/C][C]-0.4988[/C][C]0.689892[/C][/ROW]
[ROW][C]16[/C][C]0.016909[/C][C]0.1172[/C][C]0.453615[/C][/ROW]
[ROW][C]17[/C][C]0.307726[/C][C]2.132[/C][C]0.019076[/C][/ROW]
[ROW][C]18[/C][C]0.031111[/C][C]0.2155[/C][C]0.415128[/C][/ROW]
[ROW][C]19[/C][C]-0.253082[/C][C]-1.7534[/C][C]0.957042[/C][/ROW]
[ROW][C]20[/C][C]0.009633[/C][C]0.0667[/C][C]0.473533[/C][/ROW]
[ROW][C]21[/C][C]-0.127136[/C][C]-0.8808[/C][C]0.808599[/C][/ROW]
[ROW][C]22[/C][C]-0.003915[/C][C]-0.0271[/C][C]0.510764[/C][/ROW]
[ROW][C]23[/C][C]-0.123798[/C][C]-0.8577[/C][C]0.802338[/C][/ROW]
[ROW][C]24[/C][C]-0.074312[/C][C]-0.5148[/C][C]0.69549[/C][/ROW]
[ROW][C]25[/C][C]0.028582[/C][C]0.198[/C][C]0.421933[/C][/ROW]
[ROW][C]26[/C][C]0.048495[/C][C]0.336[/C][C]0.369174[/C][/ROW]
[ROW][C]27[/C][C]0.0306[/C][C]0.212[/C][C]0.416502[/C][/ROW]
[ROW][C]28[/C][C]0.022269[/C][C]0.1543[/C][C]0.439016[/C][/ROW]
[ROW][C]29[/C][C]-0.116894[/C][C]-0.8099[/C][C]0.788993[/C][/ROW]
[ROW][C]30[/C][C]0.077052[/C][C]0.5338[/C][C]0.29796[/C][/ROW]
[ROW][C]31[/C][C]-0.039425[/C][C]-0.2731[/C][C]0.607043[/C][/ROW]
[ROW][C]32[/C][C]-0.020482[/C][C]-0.1419[/C][C]0.556124[/C][/ROW]
[ROW][C]33[/C][C]-0.009686[/C][C]-0.0671[/C][C]0.526613[/C][/ROW]
[ROW][C]34[/C][C]0.056588[/C][C]0.3921[/C][C]0.348377[/C][/ROW]
[ROW][C]35[/C][C]-0.016572[/C][C]-0.1148[/C][C]0.545465[/C][/ROW]
[ROW][C]36[/C][C]-0.064259[/C][C]-0.4452[/C][C]0.670912[/C][/ROW]
[ROW][C]37[/C][C]-0.029957[/C][C]-0.2075[/C][C]0.581769[/C][/ROW]
[ROW][C]38[/C][C]0.019601[/C][C]0.1358[/C][C]0.446273[/C][/ROW]
[ROW][C]39[/C][C]-0.027814[/C][C]-0.1927[/C][C]0.575997[/C][/ROW]
[ROW][C]40[/C][C]0.036648[/C][C]0.2539[/C][C]0.400327[/C][/ROW]
[ROW][C]41[/C][C]-0.02866[/C][C]-0.1986[/C][C]0.578277[/C][/ROW]
[ROW][C]42[/C][C]-0.059971[/C][C]-0.4155[/C][C]0.660182[/C][/ROW]
[ROW][C]43[/C][C]-0.115774[/C][C]-0.8021[/C][C]0.786778[/C][/ROW]
[ROW][C]44[/C][C]0.034135[/C][C]0.2365[/C][C]0.407029[/C][/ROW]
[ROW][C]45[/C][C]0.027794[/C][C]0.1926[/C][C]0.424057[/C][/ROW]
[ROW][C]46[/C][C]-0.003387[/C][C]-0.0235[/C][C]0.509313[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3829&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3829&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
0-0.551687-3.82220.99981
1-0.479376-3.32120.999141
20.0181730.12590.450165
3-0.096262-0.66690.745993
4-0.058105-0.40260.655471
50.2403971.66550.051162
60.0786910.54520.294073
7-0.204993-1.42020.918998
8-0.066134-0.45820.675558
9-0.158926-1.10110.861822
100.0290240.20110.420742
11-0.118205-0.81890.791568
12-0.081909-0.56750.713485
13-0.108265-0.75010.771566
14-0.030135-0.20880.582248
15-0.071992-0.49880.689892
160.0169090.11720.453615
170.3077262.1320.019076
180.0311110.21550.415128
19-0.253082-1.75340.957042
200.0096330.06670.473533
21-0.127136-0.88080.808599
22-0.003915-0.02710.510764
23-0.123798-0.85770.802338
24-0.074312-0.51480.69549
250.0285820.1980.421933
260.0484950.3360.369174
270.03060.2120.416502
280.0222690.15430.439016
29-0.116894-0.80990.788993
300.0770520.53380.29796
31-0.039425-0.27310.607043
32-0.020482-0.14190.556124
33-0.009686-0.06710.526613
340.0565880.39210.348377
35-0.016572-0.11480.545465
36-0.064259-0.44520.670912
37-0.029957-0.20750.581769
380.0196010.13580.446273
39-0.027814-0.19270.575997
400.0366480.25390.400327
41-0.02866-0.19860.578277
42-0.059971-0.41550.660182
43-0.115774-0.80210.786778
440.0341350.23650.407029
450.0277940.19260.424057
46-0.003387-0.02350.509313
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')