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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 18 Dec 2008 08:18:32 -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/18/t1229613556j2epz88ab3h3kkr.htm/, Retrieved Sat, 11 May 2024 04:56:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34837, Retrieved Sat, 11 May 2024 04:56:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSeverijns Britt
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ARIMA Forecasting] [paper forcasting] [2008-12-18 13:18:00] [9ea94c8297ec7e569f27218c1d8ea30f]
- RMP     [(Partial) Autocorrelation Function] [paper ACF d en D 1] [2008-12-18 15:18:32] [78308c9f3efc33d1da821bcd963df161] [Current]
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Dataseries X:
492865
480961
461935
456608
441977
439148
488180
520564
501492
485025
464196
460170
467037
460070
447988
442867
436087
431328
484015
509673
512927
502831
470984
471067
476049
474605
470439
461251
454724
455626
516847
525192
522975
518585
509239
512238
519164
517009
509933
509127
500857
506971
569323
579714
577992
565464
547344
554788
562325
560854
555332
543599
536662
542722
593530
610763
612613
611324
594167
595454
590865
589379
584428
573100
567456
569028
620735
628884
628232
612117
595404
597141
593408
590072
579799
574205
572775
572942
619567
625809
619916
587625
565742
557274
560576
548854
531673
525919
511038
498662
555362
564591
541657
527070
509846
514258
516922
507561
492622
490243
469357
477580
528379
533590




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34837&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34837&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34837&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.019751-0.18840.425488
2-0.024666-0.23530.407254
30.0002070.0020.499214
40.0751930.71730.237514
50.0794920.75830.225115
60.0763620.72840.234105
70.0165430.15780.437477
80.1000010.95390.171319
90.1071671.02230.154672
10-0.065346-0.62340.267302
11-0.022417-0.21380.415574
12-0.2292-2.18640.015675
130.0055040.05250.479119
140.2436182.3240.011177
150.003140.030.488085
16-0.00494-0.04710.481258
17-0.080159-0.76470.223223
180.0693040.66110.255104
190.0716290.68330.248077
200.0118670.11320.45506
210.0587730.56070.288204
220.0713750.68090.248839
230.1863881.7780.03937
24-0.08758-0.83550.202825
25-0.117673-1.12250.132296
26-0.177121-1.68960.047261
270.0840660.80190.212338
28-0.028237-0.26940.394129
290.1183921.12940.130852
30-0.104087-0.99290.161688
31-0.091379-0.87170.192833
320.0210180.20050.420771
33-0.098875-0.94320.174037
34-0.073935-0.70530.241213
35-0.032687-0.31180.377946
360.0362870.34620.365011
370.0973320.92850.177806
380.1075041.02550.153917
39-0.137822-1.31470.095951
40-0.071359-0.68070.248888
410.0076280.07280.471077
42-0.020708-0.19750.42192
430.0649060.61920.268677
44-0.084827-0.80920.210257
45-0.064751-0.61770.269162
460.0051310.04890.480535
47-0.147555-1.40760.081331
48-0.086714-0.82720.205145
49-0.09804-0.93520.17607
500.0246010.23470.407491
51-0.02601-0.24810.4023
52-0.00323-0.03080.487745
53-0.148719-1.41870.079703
540.0134380.12820.449142
55-0.084623-0.80730.210814
560.0014790.01410.494387
570.0419860.40050.344856
58-0.049009-0.46750.320623
590.0193470.18460.426992
600.0153880.14680.441811

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.019751 & -0.1884 & 0.425488 \tabularnewline
2 & -0.024666 & -0.2353 & 0.407254 \tabularnewline
3 & 0.000207 & 0.002 & 0.499214 \tabularnewline
4 & 0.075193 & 0.7173 & 0.237514 \tabularnewline
5 & 0.079492 & 0.7583 & 0.225115 \tabularnewline
6 & 0.076362 & 0.7284 & 0.234105 \tabularnewline
7 & 0.016543 & 0.1578 & 0.437477 \tabularnewline
8 & 0.100001 & 0.9539 & 0.171319 \tabularnewline
9 & 0.107167 & 1.0223 & 0.154672 \tabularnewline
10 & -0.065346 & -0.6234 & 0.267302 \tabularnewline
11 & -0.022417 & -0.2138 & 0.415574 \tabularnewline
12 & -0.2292 & -2.1864 & 0.015675 \tabularnewline
13 & 0.005504 & 0.0525 & 0.479119 \tabularnewline
14 & 0.243618 & 2.324 & 0.011177 \tabularnewline
15 & 0.00314 & 0.03 & 0.488085 \tabularnewline
16 & -0.00494 & -0.0471 & 0.481258 \tabularnewline
17 & -0.080159 & -0.7647 & 0.223223 \tabularnewline
18 & 0.069304 & 0.6611 & 0.255104 \tabularnewline
19 & 0.071629 & 0.6833 & 0.248077 \tabularnewline
20 & 0.011867 & 0.1132 & 0.45506 \tabularnewline
21 & 0.058773 & 0.5607 & 0.288204 \tabularnewline
22 & 0.071375 & 0.6809 & 0.248839 \tabularnewline
23 & 0.186388 & 1.778 & 0.03937 \tabularnewline
24 & -0.08758 & -0.8355 & 0.202825 \tabularnewline
25 & -0.117673 & -1.1225 & 0.132296 \tabularnewline
26 & -0.177121 & -1.6896 & 0.047261 \tabularnewline
27 & 0.084066 & 0.8019 & 0.212338 \tabularnewline
28 & -0.028237 & -0.2694 & 0.394129 \tabularnewline
29 & 0.118392 & 1.1294 & 0.130852 \tabularnewline
30 & -0.104087 & -0.9929 & 0.161688 \tabularnewline
31 & -0.091379 & -0.8717 & 0.192833 \tabularnewline
32 & 0.021018 & 0.2005 & 0.420771 \tabularnewline
33 & -0.098875 & -0.9432 & 0.174037 \tabularnewline
34 & -0.073935 & -0.7053 & 0.241213 \tabularnewline
35 & -0.032687 & -0.3118 & 0.377946 \tabularnewline
36 & 0.036287 & 0.3462 & 0.365011 \tabularnewline
37 & 0.097332 & 0.9285 & 0.177806 \tabularnewline
38 & 0.107504 & 1.0255 & 0.153917 \tabularnewline
39 & -0.137822 & -1.3147 & 0.095951 \tabularnewline
40 & -0.071359 & -0.6807 & 0.248888 \tabularnewline
41 & 0.007628 & 0.0728 & 0.471077 \tabularnewline
42 & -0.020708 & -0.1975 & 0.42192 \tabularnewline
43 & 0.064906 & 0.6192 & 0.268677 \tabularnewline
44 & -0.084827 & -0.8092 & 0.210257 \tabularnewline
45 & -0.064751 & -0.6177 & 0.269162 \tabularnewline
46 & 0.005131 & 0.0489 & 0.480535 \tabularnewline
47 & -0.147555 & -1.4076 & 0.081331 \tabularnewline
48 & -0.086714 & -0.8272 & 0.205145 \tabularnewline
49 & -0.09804 & -0.9352 & 0.17607 \tabularnewline
50 & 0.024601 & 0.2347 & 0.407491 \tabularnewline
51 & -0.02601 & -0.2481 & 0.4023 \tabularnewline
52 & -0.00323 & -0.0308 & 0.487745 \tabularnewline
53 & -0.148719 & -1.4187 & 0.079703 \tabularnewline
54 & 0.013438 & 0.1282 & 0.449142 \tabularnewline
55 & -0.084623 & -0.8073 & 0.210814 \tabularnewline
56 & 0.001479 & 0.0141 & 0.494387 \tabularnewline
57 & 0.041986 & 0.4005 & 0.344856 \tabularnewline
58 & -0.049009 & -0.4675 & 0.320623 \tabularnewline
59 & 0.019347 & 0.1846 & 0.426992 \tabularnewline
60 & 0.015388 & 0.1468 & 0.441811 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34837&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]-0.019751[/C][C]-0.1884[/C][C]0.425488[/C][/ROW]
[ROW][C]2[/C][C]-0.024666[/C][C]-0.2353[/C][C]0.407254[/C][/ROW]
[ROW][C]3[/C][C]0.000207[/C][C]0.002[/C][C]0.499214[/C][/ROW]
[ROW][C]4[/C][C]0.075193[/C][C]0.7173[/C][C]0.237514[/C][/ROW]
[ROW][C]5[/C][C]0.079492[/C][C]0.7583[/C][C]0.225115[/C][/ROW]
[ROW][C]6[/C][C]0.076362[/C][C]0.7284[/C][C]0.234105[/C][/ROW]
[ROW][C]7[/C][C]0.016543[/C][C]0.1578[/C][C]0.437477[/C][/ROW]
[ROW][C]8[/C][C]0.100001[/C][C]0.9539[/C][C]0.171319[/C][/ROW]
[ROW][C]9[/C][C]0.107167[/C][C]1.0223[/C][C]0.154672[/C][/ROW]
[ROW][C]10[/C][C]-0.065346[/C][C]-0.6234[/C][C]0.267302[/C][/ROW]
[ROW][C]11[/C][C]-0.022417[/C][C]-0.2138[/C][C]0.415574[/C][/ROW]
[ROW][C]12[/C][C]-0.2292[/C][C]-2.1864[/C][C]0.015675[/C][/ROW]
[ROW][C]13[/C][C]0.005504[/C][C]0.0525[/C][C]0.479119[/C][/ROW]
[ROW][C]14[/C][C]0.243618[/C][C]2.324[/C][C]0.011177[/C][/ROW]
[ROW][C]15[/C][C]0.00314[/C][C]0.03[/C][C]0.488085[/C][/ROW]
[ROW][C]16[/C][C]-0.00494[/C][C]-0.0471[/C][C]0.481258[/C][/ROW]
[ROW][C]17[/C][C]-0.080159[/C][C]-0.7647[/C][C]0.223223[/C][/ROW]
[ROW][C]18[/C][C]0.069304[/C][C]0.6611[/C][C]0.255104[/C][/ROW]
[ROW][C]19[/C][C]0.071629[/C][C]0.6833[/C][C]0.248077[/C][/ROW]
[ROW][C]20[/C][C]0.011867[/C][C]0.1132[/C][C]0.45506[/C][/ROW]
[ROW][C]21[/C][C]0.058773[/C][C]0.5607[/C][C]0.288204[/C][/ROW]
[ROW][C]22[/C][C]0.071375[/C][C]0.6809[/C][C]0.248839[/C][/ROW]
[ROW][C]23[/C][C]0.186388[/C][C]1.778[/C][C]0.03937[/C][/ROW]
[ROW][C]24[/C][C]-0.08758[/C][C]-0.8355[/C][C]0.202825[/C][/ROW]
[ROW][C]25[/C][C]-0.117673[/C][C]-1.1225[/C][C]0.132296[/C][/ROW]
[ROW][C]26[/C][C]-0.177121[/C][C]-1.6896[/C][C]0.047261[/C][/ROW]
[ROW][C]27[/C][C]0.084066[/C][C]0.8019[/C][C]0.212338[/C][/ROW]
[ROW][C]28[/C][C]-0.028237[/C][C]-0.2694[/C][C]0.394129[/C][/ROW]
[ROW][C]29[/C][C]0.118392[/C][C]1.1294[/C][C]0.130852[/C][/ROW]
[ROW][C]30[/C][C]-0.104087[/C][C]-0.9929[/C][C]0.161688[/C][/ROW]
[ROW][C]31[/C][C]-0.091379[/C][C]-0.8717[/C][C]0.192833[/C][/ROW]
[ROW][C]32[/C][C]0.021018[/C][C]0.2005[/C][C]0.420771[/C][/ROW]
[ROW][C]33[/C][C]-0.098875[/C][C]-0.9432[/C][C]0.174037[/C][/ROW]
[ROW][C]34[/C][C]-0.073935[/C][C]-0.7053[/C][C]0.241213[/C][/ROW]
[ROW][C]35[/C][C]-0.032687[/C][C]-0.3118[/C][C]0.377946[/C][/ROW]
[ROW][C]36[/C][C]0.036287[/C][C]0.3462[/C][C]0.365011[/C][/ROW]
[ROW][C]37[/C][C]0.097332[/C][C]0.9285[/C][C]0.177806[/C][/ROW]
[ROW][C]38[/C][C]0.107504[/C][C]1.0255[/C][C]0.153917[/C][/ROW]
[ROW][C]39[/C][C]-0.137822[/C][C]-1.3147[/C][C]0.095951[/C][/ROW]
[ROW][C]40[/C][C]-0.071359[/C][C]-0.6807[/C][C]0.248888[/C][/ROW]
[ROW][C]41[/C][C]0.007628[/C][C]0.0728[/C][C]0.471077[/C][/ROW]
[ROW][C]42[/C][C]-0.020708[/C][C]-0.1975[/C][C]0.42192[/C][/ROW]
[ROW][C]43[/C][C]0.064906[/C][C]0.6192[/C][C]0.268677[/C][/ROW]
[ROW][C]44[/C][C]-0.084827[/C][C]-0.8092[/C][C]0.210257[/C][/ROW]
[ROW][C]45[/C][C]-0.064751[/C][C]-0.6177[/C][C]0.269162[/C][/ROW]
[ROW][C]46[/C][C]0.005131[/C][C]0.0489[/C][C]0.480535[/C][/ROW]
[ROW][C]47[/C][C]-0.147555[/C][C]-1.4076[/C][C]0.081331[/C][/ROW]
[ROW][C]48[/C][C]-0.086714[/C][C]-0.8272[/C][C]0.205145[/C][/ROW]
[ROW][C]49[/C][C]-0.09804[/C][C]-0.9352[/C][C]0.17607[/C][/ROW]
[ROW][C]50[/C][C]0.024601[/C][C]0.2347[/C][C]0.407491[/C][/ROW]
[ROW][C]51[/C][C]-0.02601[/C][C]-0.2481[/C][C]0.4023[/C][/ROW]
[ROW][C]52[/C][C]-0.00323[/C][C]-0.0308[/C][C]0.487745[/C][/ROW]
[ROW][C]53[/C][C]-0.148719[/C][C]-1.4187[/C][C]0.079703[/C][/ROW]
[ROW][C]54[/C][C]0.013438[/C][C]0.1282[/C][C]0.449142[/C][/ROW]
[ROW][C]55[/C][C]-0.084623[/C][C]-0.8073[/C][C]0.210814[/C][/ROW]
[ROW][C]56[/C][C]0.001479[/C][C]0.0141[/C][C]0.494387[/C][/ROW]
[ROW][C]57[/C][C]0.041986[/C][C]0.4005[/C][C]0.344856[/C][/ROW]
[ROW][C]58[/C][C]-0.049009[/C][C]-0.4675[/C][C]0.320623[/C][/ROW]
[ROW][C]59[/C][C]0.019347[/C][C]0.1846[/C][C]0.426992[/C][/ROW]
[ROW][C]60[/C][C]0.015388[/C][C]0.1468[/C][C]0.441811[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34837&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34837&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
1-0.019751-0.18840.425488
2-0.024666-0.23530.407254
30.0002070.0020.499214
40.0751930.71730.237514
50.0794920.75830.225115
60.0763620.72840.234105
70.0165430.15780.437477
80.1000010.95390.171319
90.1071671.02230.154672
10-0.065346-0.62340.267302
11-0.022417-0.21380.415574
12-0.2292-2.18640.015675
130.0055040.05250.479119
140.2436182.3240.011177
150.003140.030.488085
16-0.00494-0.04710.481258
17-0.080159-0.76470.223223
180.0693040.66110.255104
190.0716290.68330.248077
200.0118670.11320.45506
210.0587730.56070.288204
220.0713750.68090.248839
230.1863881.7780.03937
24-0.08758-0.83550.202825
25-0.117673-1.12250.132296
26-0.177121-1.68960.047261
270.0840660.80190.212338
28-0.028237-0.26940.394129
290.1183921.12940.130852
30-0.104087-0.99290.161688
31-0.091379-0.87170.192833
320.0210180.20050.420771
33-0.098875-0.94320.174037
34-0.073935-0.70530.241213
35-0.032687-0.31180.377946
360.0362870.34620.365011
370.0973320.92850.177806
380.1075041.02550.153917
39-0.137822-1.31470.095951
40-0.071359-0.68070.248888
410.0076280.07280.471077
42-0.020708-0.19750.42192
430.0649060.61920.268677
44-0.084827-0.80920.210257
45-0.064751-0.61770.269162
460.0051310.04890.480535
47-0.147555-1.40760.081331
48-0.086714-0.82720.205145
49-0.09804-0.93520.17607
500.0246010.23470.407491
51-0.02601-0.24810.4023
52-0.00323-0.03080.487745
53-0.148719-1.41870.079703
540.0134380.12820.449142
55-0.084623-0.80730.210814
560.0014790.01410.494387
570.0419860.40050.344856
58-0.049009-0.46750.320623
590.0193470.18460.426992
600.0153880.14680.441811







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.019751-0.18840.425488
2-0.025065-0.23910.405779
3-0.000788-0.00750.497009
40.0746390.7120.239139
50.0830550.79230.215126
60.0848740.80960.210129
70.0255690.24390.403923
80.1018720.97180.166864
90.1062921.0140.156644
10-0.0714-0.68110.248765
11-0.037847-0.3610.359455
12-0.27311-2.60530.005361
13-0.065123-0.62120.267999
140.2201942.10050.019225
150.0267470.25510.399592
160.0624740.5960.276339
17-0.056396-0.5380.295951
180.086350.82370.206123
190.0986570.94110.174566
200.0344310.32850.371661
210.1183571.12910.130922
22-0.025235-0.24070.405154
230.1325191.26420.104702
24-0.161857-1.5440.063027
25-0.19437-1.85420.033477
26-0.16345-1.55920.061208
27-0.035501-0.33870.367824
28-0.104959-1.00120.159682
290.1091651.04140.150233
30-0.020014-0.19090.424505
310.0315380.30080.382108
320.0899430.8580.196574
330.0138550.13220.447572
340.0036320.03470.486217
350.0153010.1460.442138
36-0.042441-0.40490.343264
37-0.070191-0.66960.252409
380.0736970.7030.241916
39-0.068126-0.64990.258703
40-0.074836-0.71390.238561
41-0.051094-0.48740.313572
42-0.084368-0.80480.211512
43-0.017766-0.16950.4329
44-0.017154-0.16360.435188
45-0.043832-0.41810.338418
460.0098250.09370.462768
47-0.054862-0.52340.301001
480.0163210.15570.438309
49-0.028947-0.27610.391534
500.0496660.47380.318396
51-0.028684-0.27360.392494
52-0.09509-0.90710.183374
53-0.029376-0.28020.389969
540.0490030.46750.320646
55-0.036559-0.34870.364041
56-0.020895-0.19930.421227
570.0087830.08380.466705
58-0.081301-0.77560.220008
59-0.051892-0.4950.310889
600.0068890.06570.473875

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.019751 & -0.1884 & 0.425488 \tabularnewline
2 & -0.025065 & -0.2391 & 0.405779 \tabularnewline
3 & -0.000788 & -0.0075 & 0.497009 \tabularnewline
4 & 0.074639 & 0.712 & 0.239139 \tabularnewline
5 & 0.083055 & 0.7923 & 0.215126 \tabularnewline
6 & 0.084874 & 0.8096 & 0.210129 \tabularnewline
7 & 0.025569 & 0.2439 & 0.403923 \tabularnewline
8 & 0.101872 & 0.9718 & 0.166864 \tabularnewline
9 & 0.106292 & 1.014 & 0.156644 \tabularnewline
10 & -0.0714 & -0.6811 & 0.248765 \tabularnewline
11 & -0.037847 & -0.361 & 0.359455 \tabularnewline
12 & -0.27311 & -2.6053 & 0.005361 \tabularnewline
13 & -0.065123 & -0.6212 & 0.267999 \tabularnewline
14 & 0.220194 & 2.1005 & 0.019225 \tabularnewline
15 & 0.026747 & 0.2551 & 0.399592 \tabularnewline
16 & 0.062474 & 0.596 & 0.276339 \tabularnewline
17 & -0.056396 & -0.538 & 0.295951 \tabularnewline
18 & 0.08635 & 0.8237 & 0.206123 \tabularnewline
19 & 0.098657 & 0.9411 & 0.174566 \tabularnewline
20 & 0.034431 & 0.3285 & 0.371661 \tabularnewline
21 & 0.118357 & 1.1291 & 0.130922 \tabularnewline
22 & -0.025235 & -0.2407 & 0.405154 \tabularnewline
23 & 0.132519 & 1.2642 & 0.104702 \tabularnewline
24 & -0.161857 & -1.544 & 0.063027 \tabularnewline
25 & -0.19437 & -1.8542 & 0.033477 \tabularnewline
26 & -0.16345 & -1.5592 & 0.061208 \tabularnewline
27 & -0.035501 & -0.3387 & 0.367824 \tabularnewline
28 & -0.104959 & -1.0012 & 0.159682 \tabularnewline
29 & 0.109165 & 1.0414 & 0.150233 \tabularnewline
30 & -0.020014 & -0.1909 & 0.424505 \tabularnewline
31 & 0.031538 & 0.3008 & 0.382108 \tabularnewline
32 & 0.089943 & 0.858 & 0.196574 \tabularnewline
33 & 0.013855 & 0.1322 & 0.447572 \tabularnewline
34 & 0.003632 & 0.0347 & 0.486217 \tabularnewline
35 & 0.015301 & 0.146 & 0.442138 \tabularnewline
36 & -0.042441 & -0.4049 & 0.343264 \tabularnewline
37 & -0.070191 & -0.6696 & 0.252409 \tabularnewline
38 & 0.073697 & 0.703 & 0.241916 \tabularnewline
39 & -0.068126 & -0.6499 & 0.258703 \tabularnewline
40 & -0.074836 & -0.7139 & 0.238561 \tabularnewline
41 & -0.051094 & -0.4874 & 0.313572 \tabularnewline
42 & -0.084368 & -0.8048 & 0.211512 \tabularnewline
43 & -0.017766 & -0.1695 & 0.4329 \tabularnewline
44 & -0.017154 & -0.1636 & 0.435188 \tabularnewline
45 & -0.043832 & -0.4181 & 0.338418 \tabularnewline
46 & 0.009825 & 0.0937 & 0.462768 \tabularnewline
47 & -0.054862 & -0.5234 & 0.301001 \tabularnewline
48 & 0.016321 & 0.1557 & 0.438309 \tabularnewline
49 & -0.028947 & -0.2761 & 0.391534 \tabularnewline
50 & 0.049666 & 0.4738 & 0.318396 \tabularnewline
51 & -0.028684 & -0.2736 & 0.392494 \tabularnewline
52 & -0.09509 & -0.9071 & 0.183374 \tabularnewline
53 & -0.029376 & -0.2802 & 0.389969 \tabularnewline
54 & 0.049003 & 0.4675 & 0.320646 \tabularnewline
55 & -0.036559 & -0.3487 & 0.364041 \tabularnewline
56 & -0.020895 & -0.1993 & 0.421227 \tabularnewline
57 & 0.008783 & 0.0838 & 0.466705 \tabularnewline
58 & -0.081301 & -0.7756 & 0.220008 \tabularnewline
59 & -0.051892 & -0.495 & 0.310889 \tabularnewline
60 & 0.006889 & 0.0657 & 0.473875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34837&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]-0.019751[/C][C]-0.1884[/C][C]0.425488[/C][/ROW]
[ROW][C]2[/C][C]-0.025065[/C][C]-0.2391[/C][C]0.405779[/C][/ROW]
[ROW][C]3[/C][C]-0.000788[/C][C]-0.0075[/C][C]0.497009[/C][/ROW]
[ROW][C]4[/C][C]0.074639[/C][C]0.712[/C][C]0.239139[/C][/ROW]
[ROW][C]5[/C][C]0.083055[/C][C]0.7923[/C][C]0.215126[/C][/ROW]
[ROW][C]6[/C][C]0.084874[/C][C]0.8096[/C][C]0.210129[/C][/ROW]
[ROW][C]7[/C][C]0.025569[/C][C]0.2439[/C][C]0.403923[/C][/ROW]
[ROW][C]8[/C][C]0.101872[/C][C]0.9718[/C][C]0.166864[/C][/ROW]
[ROW][C]9[/C][C]0.106292[/C][C]1.014[/C][C]0.156644[/C][/ROW]
[ROW][C]10[/C][C]-0.0714[/C][C]-0.6811[/C][C]0.248765[/C][/ROW]
[ROW][C]11[/C][C]-0.037847[/C][C]-0.361[/C][C]0.359455[/C][/ROW]
[ROW][C]12[/C][C]-0.27311[/C][C]-2.6053[/C][C]0.005361[/C][/ROW]
[ROW][C]13[/C][C]-0.065123[/C][C]-0.6212[/C][C]0.267999[/C][/ROW]
[ROW][C]14[/C][C]0.220194[/C][C]2.1005[/C][C]0.019225[/C][/ROW]
[ROW][C]15[/C][C]0.026747[/C][C]0.2551[/C][C]0.399592[/C][/ROW]
[ROW][C]16[/C][C]0.062474[/C][C]0.596[/C][C]0.276339[/C][/ROW]
[ROW][C]17[/C][C]-0.056396[/C][C]-0.538[/C][C]0.295951[/C][/ROW]
[ROW][C]18[/C][C]0.08635[/C][C]0.8237[/C][C]0.206123[/C][/ROW]
[ROW][C]19[/C][C]0.098657[/C][C]0.9411[/C][C]0.174566[/C][/ROW]
[ROW][C]20[/C][C]0.034431[/C][C]0.3285[/C][C]0.371661[/C][/ROW]
[ROW][C]21[/C][C]0.118357[/C][C]1.1291[/C][C]0.130922[/C][/ROW]
[ROW][C]22[/C][C]-0.025235[/C][C]-0.2407[/C][C]0.405154[/C][/ROW]
[ROW][C]23[/C][C]0.132519[/C][C]1.2642[/C][C]0.104702[/C][/ROW]
[ROW][C]24[/C][C]-0.161857[/C][C]-1.544[/C][C]0.063027[/C][/ROW]
[ROW][C]25[/C][C]-0.19437[/C][C]-1.8542[/C][C]0.033477[/C][/ROW]
[ROW][C]26[/C][C]-0.16345[/C][C]-1.5592[/C][C]0.061208[/C][/ROW]
[ROW][C]27[/C][C]-0.035501[/C][C]-0.3387[/C][C]0.367824[/C][/ROW]
[ROW][C]28[/C][C]-0.104959[/C][C]-1.0012[/C][C]0.159682[/C][/ROW]
[ROW][C]29[/C][C]0.109165[/C][C]1.0414[/C][C]0.150233[/C][/ROW]
[ROW][C]30[/C][C]-0.020014[/C][C]-0.1909[/C][C]0.424505[/C][/ROW]
[ROW][C]31[/C][C]0.031538[/C][C]0.3008[/C][C]0.382108[/C][/ROW]
[ROW][C]32[/C][C]0.089943[/C][C]0.858[/C][C]0.196574[/C][/ROW]
[ROW][C]33[/C][C]0.013855[/C][C]0.1322[/C][C]0.447572[/C][/ROW]
[ROW][C]34[/C][C]0.003632[/C][C]0.0347[/C][C]0.486217[/C][/ROW]
[ROW][C]35[/C][C]0.015301[/C][C]0.146[/C][C]0.442138[/C][/ROW]
[ROW][C]36[/C][C]-0.042441[/C][C]-0.4049[/C][C]0.343264[/C][/ROW]
[ROW][C]37[/C][C]-0.070191[/C][C]-0.6696[/C][C]0.252409[/C][/ROW]
[ROW][C]38[/C][C]0.073697[/C][C]0.703[/C][C]0.241916[/C][/ROW]
[ROW][C]39[/C][C]-0.068126[/C][C]-0.6499[/C][C]0.258703[/C][/ROW]
[ROW][C]40[/C][C]-0.074836[/C][C]-0.7139[/C][C]0.238561[/C][/ROW]
[ROW][C]41[/C][C]-0.051094[/C][C]-0.4874[/C][C]0.313572[/C][/ROW]
[ROW][C]42[/C][C]-0.084368[/C][C]-0.8048[/C][C]0.211512[/C][/ROW]
[ROW][C]43[/C][C]-0.017766[/C][C]-0.1695[/C][C]0.4329[/C][/ROW]
[ROW][C]44[/C][C]-0.017154[/C][C]-0.1636[/C][C]0.435188[/C][/ROW]
[ROW][C]45[/C][C]-0.043832[/C][C]-0.4181[/C][C]0.338418[/C][/ROW]
[ROW][C]46[/C][C]0.009825[/C][C]0.0937[/C][C]0.462768[/C][/ROW]
[ROW][C]47[/C][C]-0.054862[/C][C]-0.5234[/C][C]0.301001[/C][/ROW]
[ROW][C]48[/C][C]0.016321[/C][C]0.1557[/C][C]0.438309[/C][/ROW]
[ROW][C]49[/C][C]-0.028947[/C][C]-0.2761[/C][C]0.391534[/C][/ROW]
[ROW][C]50[/C][C]0.049666[/C][C]0.4738[/C][C]0.318396[/C][/ROW]
[ROW][C]51[/C][C]-0.028684[/C][C]-0.2736[/C][C]0.392494[/C][/ROW]
[ROW][C]52[/C][C]-0.09509[/C][C]-0.9071[/C][C]0.183374[/C][/ROW]
[ROW][C]53[/C][C]-0.029376[/C][C]-0.2802[/C][C]0.389969[/C][/ROW]
[ROW][C]54[/C][C]0.049003[/C][C]0.4675[/C][C]0.320646[/C][/ROW]
[ROW][C]55[/C][C]-0.036559[/C][C]-0.3487[/C][C]0.364041[/C][/ROW]
[ROW][C]56[/C][C]-0.020895[/C][C]-0.1993[/C][C]0.421227[/C][/ROW]
[ROW][C]57[/C][C]0.008783[/C][C]0.0838[/C][C]0.466705[/C][/ROW]
[ROW][C]58[/C][C]-0.081301[/C][C]-0.7756[/C][C]0.220008[/C][/ROW]
[ROW][C]59[/C][C]-0.051892[/C][C]-0.495[/C][C]0.310889[/C][/ROW]
[ROW][C]60[/C][C]0.006889[/C][C]0.0657[/C][C]0.473875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34837&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34837&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
1-0.019751-0.18840.425488
2-0.025065-0.23910.405779
3-0.000788-0.00750.497009
40.0746390.7120.239139
50.0830550.79230.215126
60.0848740.80960.210129
70.0255690.24390.403923
80.1018720.97180.166864
90.1062921.0140.156644
10-0.0714-0.68110.248765
11-0.037847-0.3610.359455
12-0.27311-2.60530.005361
13-0.065123-0.62120.267999
140.2201942.10050.019225
150.0267470.25510.399592
160.0624740.5960.276339
17-0.056396-0.5380.295951
180.086350.82370.206123
190.0986570.94110.174566
200.0344310.32850.371661
210.1183571.12910.130922
22-0.025235-0.24070.405154
230.1325191.26420.104702
24-0.161857-1.5440.063027
25-0.19437-1.85420.033477
26-0.16345-1.55920.061208
27-0.035501-0.33870.367824
28-0.104959-1.00120.159682
290.1091651.04140.150233
30-0.020014-0.19090.424505
310.0315380.30080.382108
320.0899430.8580.196574
330.0138550.13220.447572
340.0036320.03470.486217
350.0153010.1460.442138
36-0.042441-0.40490.343264
37-0.070191-0.66960.252409
380.0736970.7030.241916
39-0.068126-0.64990.258703
40-0.074836-0.71390.238561
41-0.051094-0.48740.313572
42-0.084368-0.80480.211512
43-0.017766-0.16950.4329
44-0.017154-0.16360.435188
45-0.043832-0.41810.338418
460.0098250.09370.462768
47-0.054862-0.52340.301001
480.0163210.15570.438309
49-0.028947-0.27610.391534
500.0496660.47380.318396
51-0.028684-0.27360.392494
52-0.09509-0.90710.183374
53-0.029376-0.28020.389969
540.0490030.46750.320646
55-0.036559-0.34870.364041
56-0.020895-0.19930.421227
570.0087830.08380.466705
58-0.081301-0.77560.220008
59-0.051892-0.4950.310889
600.0068890.06570.473875



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