FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 13 May 2009 12:11:28 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/13/t1242238327vaf6kn7g72nhr42.htm/, Retrieved Wed, 08 May 2024 17:57:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39891, Retrieved Wed, 08 May 2024 17:57:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorr - niet w...] [2009-05-13 18:11:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P     [(Partial) Autocorrelation Function] [autocorr non seas...] [2009-05-13 18:14:06] [74be16979710d4c4e7c6647856088456]
- RMPD    [Bootstrap Plot - Central Tendency] [bootstrap plot - ...] [2009-05-13 18:23:37] [74be16979710d4c4e7c6647856088456]
-   PD      [Bootstrap Plot - Central Tendency] [bootstrap plot ju...] [2009-05-13 18:28:57] [74be16979710d4c4e7c6647856088456]
-    D        [Bootstrap Plot - Central Tendency] [opgave 7 verbeter...] [2009-05-22 11:52:03] [74be16979710d4c4e7c6647856088456]
-   PD      [Bootstrap Plot - Central Tendency] [bootstrap 200 - m...] [2009-05-13 18:31:19] [74be16979710d4c4e7c6647856088456]
-             [Bootstrap Plot - Central Tendency] [Opgave 7 verbeter...] [2009-05-22 11:54:11] [74be16979710d4c4e7c6647856088456]
-   PD      [Bootstrap Plot - Central Tendency] [bootstrap 750 - m...] [2009-05-13 18:33:55] [74be16979710d4c4e7c6647856088456]
-             [Bootstrap Plot - Central Tendency] [opgave 7 verbeter...] [2009-05-22 11:56:06] [74be16979710d4c4e7c6647856088456]
-             [Bootstrap Plot - Central Tendency] [opgave 7 verbeter...] [2009-05-22 11:56:06] [74be16979710d4c4e7c6647856088456]
- RMPD        [Variability] [variability - max...] [2009-05-22 12:40:32] [74be16979710d4c4e7c6647856088456]
- RMPD          [(Partial) Autocorrelation Function] [Robin Bosmans Dat...] [2009-06-03 17:53:14] [b9edf9f086957f8eb4568189a646cc4d]
- RMPD          [(Partial) Autocorrelation Function] [Robin Bosmans- Da...] [2009-06-03 17:58:16] [b9edf9f086957f8eb4568189a646cc4d]
- RMPD          [(Partial) Autocorrelation Function] [Robin Bosmans -Da...] [2009-06-03 18:02:16] [b9edf9f086957f8eb4568189a646cc4d]
- RMPD          [(Partial) Autocorrelation Function] [Robin Bosmans-Dat...] [2009-06-03 18:31:56] [b9edf9f086957f8eb4568189a646cc4d]
- RMPD        [Standard Deviation Plot] [standard deviatio...] [2009-05-22 12:55:21] [74be16979710d4c4e7c6647856088456]
- RMPD        [Standard Deviation-Mean Plot] [standard deviatio...] [2009-05-22 13:14:56] [74be16979710d4c4e7c6647856088456]
-   P           [Standard Deviation-Mean Plot] [standaard deviati...] [2009-06-01 16:21:19] [74be16979710d4c4e7c6647856088456]
- RMPD        [Variability] [variability - nie...] [2009-05-22 13:22:05] [74be16979710d4c4e7c6647856088456]
- RMPD        [Standard Deviation Plot] [standard deviatio...] [2009-05-22 13:25:10] [74be16979710d4c4e7c6647856088456]
- RMPD        [Standard Deviation-Mean Plot] [standard deviatio...] [2009-05-22 13:31:40] [74be16979710d4c4e7c6647856088456]
- RMPD      [Blocked Bootstrap Plot - Central Tendency] [blocked bootstrap...] [2009-05-13 18:56:04] [74be16979710d4c4e7c6647856088456]
- RMPD      [Blocked Bootstrap Plot - Central Tendency] [blocked bootstr 2...] [2009-05-13 18:57:54] [74be16979710d4c4e7c6647856088456]
- RMPD      [Blocked Bootstrap Plot - Central Tendency] [blocked boot 750 ...] [2009-05-13 19:00:48] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
220206
220115
218444
214912
210705
209673
237041
242081
241878
242621
238545
240337
244752
244576
241572
240541
236089
236997
264579
270349
269645
267037
258113
262813
267413
267366
264777
258863
254844
254868
277267
285351
286602
283042
276687
277915
277128
277103
275037
270150
267140
264993
287259
291186
292300
288186
281477
282656
280190
280408
276836
275216
274352
271311
289802
290726
292300
278506
269826
265861
269034
264176
255198
253353
246057
235372
258556
260993
254663
250643
243422
247105
248541
245039
237080
237085
225554
226839
247934
248333
246969
245098
246263
255765
264319

Tables (Output of Computation)





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=39891&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=39891&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39891&T=0

As an alternative you can also use a QR Code:  
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
10.9028918.32420
20.7840017.22810
30.6899886.36140
40.6253735.76570
50.5923525.46120
60.5394034.97312e-06
70.4789114.41531.5e-05
80.4170153.84470.000116
90.3922653.61650.000253
100.3990833.67940.000205
110.4288173.95357.9e-05
120.4330013.99216.9e-05
130.3270093.01490.001694
140.2085961.92320.028904
150.1087681.00280.159404
160.0434110.40020.344996
170.0057730.05320.478839
18-0.050602-0.46650.321017
19-0.100541-0.92690.178291
20-0.146294-1.34880.090498
21-0.158687-1.4630.073575
22-0.14316-1.31990.095211
23-0.117964-1.08760.139929
24-0.104011-0.95890.170156
25-0.170991-1.57650.059318
26-0.247634-2.28310.012461
27-0.308583-2.8450.002782
28-0.340731-3.14140.001157
29-0.357458-3.29560.000717
30-0.385245-3.55180.000313
31-0.404301-3.72750.000174
32-0.416946-3.84410.000116
33-0.400399-3.69150.000196
34-0.368519-3.39760.000518
35-0.326329-3.00860.001726
36-0.295292-2.72250.00393
37-0.333793-3.07740.001405
38-0.380623-3.50920.000361
39-0.411154-3.79060.00014
40-0.416624-3.84110.000118
41-0.409869-3.77880.000146
42-0.414525-3.82170.000126
43-0.411417-3.79310.000139
44-0.402914-3.71470.000182
45-0.365759-3.37210.000562
46-0.31924-2.94320.002093
47-0.266073-2.45310.008104
48-0.218056-2.01040.023781

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.902891 & 8.3242 & 0 \tabularnewline
2 & 0.784001 & 7.2281 & 0 \tabularnewline
3 & 0.689988 & 6.3614 & 0 \tabularnewline
4 & 0.625373 & 5.7657 & 0 \tabularnewline
5 & 0.592352 & 5.4612 & 0 \tabularnewline
6 & 0.539403 & 4.9731 & 2e-06 \tabularnewline
7 & 0.478911 & 4.4153 & 1.5e-05 \tabularnewline
8 & 0.417015 & 3.8447 & 0.000116 \tabularnewline
9 & 0.392265 & 3.6165 & 0.000253 \tabularnewline
10 & 0.399083 & 3.6794 & 0.000205 \tabularnewline
11 & 0.428817 & 3.9535 & 7.9e-05 \tabularnewline
12 & 0.433001 & 3.9921 & 6.9e-05 \tabularnewline
13 & 0.327009 & 3.0149 & 0.001694 \tabularnewline
14 & 0.208596 & 1.9232 & 0.028904 \tabularnewline
15 & 0.108768 & 1.0028 & 0.159404 \tabularnewline
16 & 0.043411 & 0.4002 & 0.344996 \tabularnewline
17 & 0.005773 & 0.0532 & 0.478839 \tabularnewline
18 & -0.050602 & -0.4665 & 0.321017 \tabularnewline
19 & -0.100541 & -0.9269 & 0.178291 \tabularnewline
20 & -0.146294 & -1.3488 & 0.090498 \tabularnewline
21 & -0.158687 & -1.463 & 0.073575 \tabularnewline
22 & -0.14316 & -1.3199 & 0.095211 \tabularnewline
23 & -0.117964 & -1.0876 & 0.139929 \tabularnewline
24 & -0.104011 & -0.9589 & 0.170156 \tabularnewline
25 & -0.170991 & -1.5765 & 0.059318 \tabularnewline
26 & -0.247634 & -2.2831 & 0.012461 \tabularnewline
27 & -0.308583 & -2.845 & 0.002782 \tabularnewline
28 & -0.340731 & -3.1414 & 0.001157 \tabularnewline
29 & -0.357458 & -3.2956 & 0.000717 \tabularnewline
30 & -0.385245 & -3.5518 & 0.000313 \tabularnewline
31 & -0.404301 & -3.7275 & 0.000174 \tabularnewline
32 & -0.416946 & -3.8441 & 0.000116 \tabularnewline
33 & -0.400399 & -3.6915 & 0.000196 \tabularnewline
34 & -0.368519 & -3.3976 & 0.000518 \tabularnewline
35 & -0.326329 & -3.0086 & 0.001726 \tabularnewline
36 & -0.295292 & -2.7225 & 0.00393 \tabularnewline
37 & -0.333793 & -3.0774 & 0.001405 \tabularnewline
38 & -0.380623 & -3.5092 & 0.000361 \tabularnewline
39 & -0.411154 & -3.7906 & 0.00014 \tabularnewline
40 & -0.416624 & -3.8411 & 0.000118 \tabularnewline
41 & -0.409869 & -3.7788 & 0.000146 \tabularnewline
42 & -0.414525 & -3.8217 & 0.000126 \tabularnewline
43 & -0.411417 & -3.7931 & 0.000139 \tabularnewline
44 & -0.402914 & -3.7147 & 0.000182 \tabularnewline
45 & -0.365759 & -3.3721 & 0.000562 \tabularnewline
46 & -0.31924 & -2.9432 & 0.002093 \tabularnewline
47 & -0.266073 & -2.4531 & 0.008104 \tabularnewline
48 & -0.218056 & -2.0104 & 0.023781 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39891&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]0.902891[/C][C]8.3242[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.784001[/C][C]7.2281[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.689988[/C][C]6.3614[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.625373[/C][C]5.7657[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.592352[/C][C]5.4612[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.539403[/C][C]4.9731[/C][C]2e-06[/C][/ROW]
[ROW][C]7[/C][C]0.478911[/C][C]4.4153[/C][C]1.5e-05[/C][/ROW]
[ROW][C]8[/C][C]0.417015[/C][C]3.8447[/C][C]0.000116[/C][/ROW]
[ROW][C]9[/C][C]0.392265[/C][C]3.6165[/C][C]0.000253[/C][/ROW]
[ROW][C]10[/C][C]0.399083[/C][C]3.6794[/C][C]0.000205[/C][/ROW]
[ROW][C]11[/C][C]0.428817[/C][C]3.9535[/C][C]7.9e-05[/C][/ROW]
[ROW][C]12[/C][C]0.433001[/C][C]3.9921[/C][C]6.9e-05[/C][/ROW]
[ROW][C]13[/C][C]0.327009[/C][C]3.0149[/C][C]0.001694[/C][/ROW]
[ROW][C]14[/C][C]0.208596[/C][C]1.9232[/C][C]0.028904[/C][/ROW]
[ROW][C]15[/C][C]0.108768[/C][C]1.0028[/C][C]0.159404[/C][/ROW]
[ROW][C]16[/C][C]0.043411[/C][C]0.4002[/C][C]0.344996[/C][/ROW]
[ROW][C]17[/C][C]0.005773[/C][C]0.0532[/C][C]0.478839[/C][/ROW]
[ROW][C]18[/C][C]-0.050602[/C][C]-0.4665[/C][C]0.321017[/C][/ROW]
[ROW][C]19[/C][C]-0.100541[/C][C]-0.9269[/C][C]0.178291[/C][/ROW]
[ROW][C]20[/C][C]-0.146294[/C][C]-1.3488[/C][C]0.090498[/C][/ROW]
[ROW][C]21[/C][C]-0.158687[/C][C]-1.463[/C][C]0.073575[/C][/ROW]
[ROW][C]22[/C][C]-0.14316[/C][C]-1.3199[/C][C]0.095211[/C][/ROW]
[ROW][C]23[/C][C]-0.117964[/C][C]-1.0876[/C][C]0.139929[/C][/ROW]
[ROW][C]24[/C][C]-0.104011[/C][C]-0.9589[/C][C]0.170156[/C][/ROW]
[ROW][C]25[/C][C]-0.170991[/C][C]-1.5765[/C][C]0.059318[/C][/ROW]
[ROW][C]26[/C][C]-0.247634[/C][C]-2.2831[/C][C]0.012461[/C][/ROW]
[ROW][C]27[/C][C]-0.308583[/C][C]-2.845[/C][C]0.002782[/C][/ROW]
[ROW][C]28[/C][C]-0.340731[/C][C]-3.1414[/C][C]0.001157[/C][/ROW]
[ROW][C]29[/C][C]-0.357458[/C][C]-3.2956[/C][C]0.000717[/C][/ROW]
[ROW][C]30[/C][C]-0.385245[/C][C]-3.5518[/C][C]0.000313[/C][/ROW]
[ROW][C]31[/C][C]-0.404301[/C][C]-3.7275[/C][C]0.000174[/C][/ROW]
[ROW][C]32[/C][C]-0.416946[/C][C]-3.8441[/C][C]0.000116[/C][/ROW]
[ROW][C]33[/C][C]-0.400399[/C][C]-3.6915[/C][C]0.000196[/C][/ROW]
[ROW][C]34[/C][C]-0.368519[/C][C]-3.3976[/C][C]0.000518[/C][/ROW]
[ROW][C]35[/C][C]-0.326329[/C][C]-3.0086[/C][C]0.001726[/C][/ROW]
[ROW][C]36[/C][C]-0.295292[/C][C]-2.7225[/C][C]0.00393[/C][/ROW]
[ROW][C]37[/C][C]-0.333793[/C][C]-3.0774[/C][C]0.001405[/C][/ROW]
[ROW][C]38[/C][C]-0.380623[/C][C]-3.5092[/C][C]0.000361[/C][/ROW]
[ROW][C]39[/C][C]-0.411154[/C][C]-3.7906[/C][C]0.00014[/C][/ROW]
[ROW][C]40[/C][C]-0.416624[/C][C]-3.8411[/C][C]0.000118[/C][/ROW]
[ROW][C]41[/C][C]-0.409869[/C][C]-3.7788[/C][C]0.000146[/C][/ROW]
[ROW][C]42[/C][C]-0.414525[/C][C]-3.8217[/C][C]0.000126[/C][/ROW]
[ROW][C]43[/C][C]-0.411417[/C][C]-3.7931[/C][C]0.000139[/C][/ROW]
[ROW][C]44[/C][C]-0.402914[/C][C]-3.7147[/C][C]0.000182[/C][/ROW]
[ROW][C]45[/C][C]-0.365759[/C][C]-3.3721[/C][C]0.000562[/C][/ROW]
[ROW][C]46[/C][C]-0.31924[/C][C]-2.9432[/C][C]0.002093[/C][/ROW]
[ROW][C]47[/C][C]-0.266073[/C][C]-2.4531[/C][C]0.008104[/C][/ROW]
[ROW][C]48[/C][C]-0.218056[/C][C]-2.0104[/C][C]0.023781[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39891&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39891&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9028918.32420
20.7840017.22810
30.6899886.36140
40.6253735.76570
50.5923525.46120
60.5394034.97312e-06
70.4789114.41531.5e-05
80.4170153.84470.000116
90.3922653.61650.000253
100.3990833.67940.000205
110.4288173.95357.9e-05
120.4330013.99216.9e-05
130.3270093.01490.001694
140.2085961.92320.028904
150.1087681.00280.159404
160.0434110.40020.344996
170.0057730.05320.478839
18-0.050602-0.46650.321017
19-0.100541-0.92690.178291
20-0.146294-1.34880.090498
21-0.158687-1.4630.073575
22-0.14316-1.31990.095211
23-0.117964-1.08760.139929
24-0.104011-0.95890.170156
25-0.170991-1.57650.059318
26-0.247634-2.28310.012461
27-0.308583-2.8450.002782
28-0.340731-3.14140.001157
29-0.357458-3.29560.000717
30-0.385245-3.55180.000313
31-0.404301-3.72750.000174
32-0.416946-3.84410.000116
33-0.400399-3.69150.000196
34-0.368519-3.39760.000518
35-0.326329-3.00860.001726
36-0.295292-2.72250.00393
37-0.333793-3.07740.001405
38-0.380623-3.50920.000361
39-0.411154-3.79060.00014
40-0.416624-3.84110.000118
41-0.409869-3.77880.000146
42-0.414525-3.82170.000126
43-0.411417-3.79310.000139
44-0.402914-3.71470.000182
45-0.365759-3.37210.000562
46-0.31924-2.94320.002093
47-0.266073-2.45310.008104
48-0.218056-2.01040.023781






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9028918.32420
2-0.168903-1.55720.061568
30.0838930.77350.2207
40.0756120.69710.243818
50.1185281.09280.13879
6-0.143545-1.32340.094623
70.0036060.03320.486778
8-0.035777-0.32980.371164
90.1772081.63380.053002
100.0730080.67310.251356
110.1623511.49680.069075
12-0.11271-1.03910.150845
13-0.520561-4.79933e-06
14-0.049275-0.45430.325389
15-0.076627-0.70650.240916
160.0162840.15010.440509
170.0138640.12780.449296
18-0.00066-0.00610.497578
190.0938860.86560.194577
20-0.036084-0.33270.370099
21-0.008634-0.07960.468371
22-0.041929-0.38660.350022
23-0.058782-0.54190.294639
240.0651710.60080.274772
25-0.162497-1.49820.068899
26-0.002584-0.02380.490524
27-0.024515-0.2260.410865
28-0.010372-0.09560.462023
29-0.073183-0.67470.250845
300.0257080.2370.406608
31-0.010779-0.09940.460536
32-0.000757-0.0070.497224
33-0.029721-0.2740.392368
34-0.042799-0.39460.347069
350.0200650.1850.42684
36-0.046593-0.42960.334298
37-0.128761-1.18710.119244
38-0.034144-0.31480.376845
390.011690.10780.457213
400.0079960.07370.470702
41-0.027751-0.25580.399344
42-0.000757-0.0070.497226
43-0.008542-0.07880.468705
44-0.054-0.49790.309937
450.0090650.08360.466794
46-0.0526-0.48490.31448
47-0.000243-0.00220.499108
480.0413340.38110.352048

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.902891 & 8.3242 & 0 \tabularnewline
2 & -0.168903 & -1.5572 & 0.061568 \tabularnewline
3 & 0.083893 & 0.7735 & 0.2207 \tabularnewline
4 & 0.075612 & 0.6971 & 0.243818 \tabularnewline
5 & 0.118528 & 1.0928 & 0.13879 \tabularnewline
6 & -0.143545 & -1.3234 & 0.094623 \tabularnewline
7 & 0.003606 & 0.0332 & 0.486778 \tabularnewline
8 & -0.035777 & -0.3298 & 0.371164 \tabularnewline
9 & 0.177208 & 1.6338 & 0.053002 \tabularnewline
10 & 0.073008 & 0.6731 & 0.251356 \tabularnewline
11 & 0.162351 & 1.4968 & 0.069075 \tabularnewline
12 & -0.11271 & -1.0391 & 0.150845 \tabularnewline
13 & -0.520561 & -4.7993 & 3e-06 \tabularnewline
14 & -0.049275 & -0.4543 & 0.325389 \tabularnewline
15 & -0.076627 & -0.7065 & 0.240916 \tabularnewline
16 & 0.016284 & 0.1501 & 0.440509 \tabularnewline
17 & 0.013864 & 0.1278 & 0.449296 \tabularnewline
18 & -0.00066 & -0.0061 & 0.497578 \tabularnewline
19 & 0.093886 & 0.8656 & 0.194577 \tabularnewline
20 & -0.036084 & -0.3327 & 0.370099 \tabularnewline
21 & -0.008634 & -0.0796 & 0.468371 \tabularnewline
22 & -0.041929 & -0.3866 & 0.350022 \tabularnewline
23 & -0.058782 & -0.5419 & 0.294639 \tabularnewline
24 & 0.065171 & 0.6008 & 0.274772 \tabularnewline
25 & -0.162497 & -1.4982 & 0.068899 \tabularnewline
26 & -0.002584 & -0.0238 & 0.490524 \tabularnewline
27 & -0.024515 & -0.226 & 0.410865 \tabularnewline
28 & -0.010372 & -0.0956 & 0.462023 \tabularnewline
29 & -0.073183 & -0.6747 & 0.250845 \tabularnewline
30 & 0.025708 & 0.237 & 0.406608 \tabularnewline
31 & -0.010779 & -0.0994 & 0.460536 \tabularnewline
32 & -0.000757 & -0.007 & 0.497224 \tabularnewline
33 & -0.029721 & -0.274 & 0.392368 \tabularnewline
34 & -0.042799 & -0.3946 & 0.347069 \tabularnewline
35 & 0.020065 & 0.185 & 0.42684 \tabularnewline
36 & -0.046593 & -0.4296 & 0.334298 \tabularnewline
37 & -0.128761 & -1.1871 & 0.119244 \tabularnewline
38 & -0.034144 & -0.3148 & 0.376845 \tabularnewline
39 & 0.01169 & 0.1078 & 0.457213 \tabularnewline
40 & 0.007996 & 0.0737 & 0.470702 \tabularnewline
41 & -0.027751 & -0.2558 & 0.399344 \tabularnewline
42 & -0.000757 & -0.007 & 0.497226 \tabularnewline
43 & -0.008542 & -0.0788 & 0.468705 \tabularnewline
44 & -0.054 & -0.4979 & 0.309937 \tabularnewline
45 & 0.009065 & 0.0836 & 0.466794 \tabularnewline
46 & -0.0526 & -0.4849 & 0.31448 \tabularnewline
47 & -0.000243 & -0.0022 & 0.499108 \tabularnewline
48 & 0.041334 & 0.3811 & 0.352048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39891&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]0.902891[/C][C]8.3242[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.168903[/C][C]-1.5572[/C][C]0.061568[/C][/ROW]
[ROW][C]3[/C][C]0.083893[/C][C]0.7735[/C][C]0.2207[/C][/ROW]
[ROW][C]4[/C][C]0.075612[/C][C]0.6971[/C][C]0.243818[/C][/ROW]
[ROW][C]5[/C][C]0.118528[/C][C]1.0928[/C][C]0.13879[/C][/ROW]
[ROW][C]6[/C][C]-0.143545[/C][C]-1.3234[/C][C]0.094623[/C][/ROW]
[ROW][C]7[/C][C]0.003606[/C][C]0.0332[/C][C]0.486778[/C][/ROW]
[ROW][C]8[/C][C]-0.035777[/C][C]-0.3298[/C][C]0.371164[/C][/ROW]
[ROW][C]9[/C][C]0.177208[/C][C]1.6338[/C][C]0.053002[/C][/ROW]
[ROW][C]10[/C][C]0.073008[/C][C]0.6731[/C][C]0.251356[/C][/ROW]
[ROW][C]11[/C][C]0.162351[/C][C]1.4968[/C][C]0.069075[/C][/ROW]
[ROW][C]12[/C][C]-0.11271[/C][C]-1.0391[/C][C]0.150845[/C][/ROW]
[ROW][C]13[/C][C]-0.520561[/C][C]-4.7993[/C][C]3e-06[/C][/ROW]
[ROW][C]14[/C][C]-0.049275[/C][C]-0.4543[/C][C]0.325389[/C][/ROW]
[ROW][C]15[/C][C]-0.076627[/C][C]-0.7065[/C][C]0.240916[/C][/ROW]
[ROW][C]16[/C][C]0.016284[/C][C]0.1501[/C][C]0.440509[/C][/ROW]
[ROW][C]17[/C][C]0.013864[/C][C]0.1278[/C][C]0.449296[/C][/ROW]
[ROW][C]18[/C][C]-0.00066[/C][C]-0.0061[/C][C]0.497578[/C][/ROW]
[ROW][C]19[/C][C]0.093886[/C][C]0.8656[/C][C]0.194577[/C][/ROW]
[ROW][C]20[/C][C]-0.036084[/C][C]-0.3327[/C][C]0.370099[/C][/ROW]
[ROW][C]21[/C][C]-0.008634[/C][C]-0.0796[/C][C]0.468371[/C][/ROW]
[ROW][C]22[/C][C]-0.041929[/C][C]-0.3866[/C][C]0.350022[/C][/ROW]
[ROW][C]23[/C][C]-0.058782[/C][C]-0.5419[/C][C]0.294639[/C][/ROW]
[ROW][C]24[/C][C]0.065171[/C][C]0.6008[/C][C]0.274772[/C][/ROW]
[ROW][C]25[/C][C]-0.162497[/C][C]-1.4982[/C][C]0.068899[/C][/ROW]
[ROW][C]26[/C][C]-0.002584[/C][C]-0.0238[/C][C]0.490524[/C][/ROW]
[ROW][C]27[/C][C]-0.024515[/C][C]-0.226[/C][C]0.410865[/C][/ROW]
[ROW][C]28[/C][C]-0.010372[/C][C]-0.0956[/C][C]0.462023[/C][/ROW]
[ROW][C]29[/C][C]-0.073183[/C][C]-0.6747[/C][C]0.250845[/C][/ROW]
[ROW][C]30[/C][C]0.025708[/C][C]0.237[/C][C]0.406608[/C][/ROW]
[ROW][C]31[/C][C]-0.010779[/C][C]-0.0994[/C][C]0.460536[/C][/ROW]
[ROW][C]32[/C][C]-0.000757[/C][C]-0.007[/C][C]0.497224[/C][/ROW]
[ROW][C]33[/C][C]-0.029721[/C][C]-0.274[/C][C]0.392368[/C][/ROW]
[ROW][C]34[/C][C]-0.042799[/C][C]-0.3946[/C][C]0.347069[/C][/ROW]
[ROW][C]35[/C][C]0.020065[/C][C]0.185[/C][C]0.42684[/C][/ROW]
[ROW][C]36[/C][C]-0.046593[/C][C]-0.4296[/C][C]0.334298[/C][/ROW]
[ROW][C]37[/C][C]-0.128761[/C][C]-1.1871[/C][C]0.119244[/C][/ROW]
[ROW][C]38[/C][C]-0.034144[/C][C]-0.3148[/C][C]0.376845[/C][/ROW]
[ROW][C]39[/C][C]0.01169[/C][C]0.1078[/C][C]0.457213[/C][/ROW]
[ROW][C]40[/C][C]0.007996[/C][C]0.0737[/C][C]0.470702[/C][/ROW]
[ROW][C]41[/C][C]-0.027751[/C][C]-0.2558[/C][C]0.399344[/C][/ROW]
[ROW][C]42[/C][C]-0.000757[/C][C]-0.007[/C][C]0.497226[/C][/ROW]
[ROW][C]43[/C][C]-0.008542[/C][C]-0.0788[/C][C]0.468705[/C][/ROW]
[ROW][C]44[/C][C]-0.054[/C][C]-0.4979[/C][C]0.309937[/C][/ROW]
[ROW][C]45[/C][C]0.009065[/C][C]0.0836[/C][C]0.466794[/C][/ROW]
[ROW][C]46[/C][C]-0.0526[/C][C]-0.4849[/C][C]0.31448[/C][/ROW]
[ROW][C]47[/C][C]-0.000243[/C][C]-0.0022[/C][C]0.499108[/C][/ROW]
[ROW][C]48[/C][C]0.041334[/C][C]0.3811[/C][C]0.352048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39891&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39891&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9028918.32420
2-0.168903-1.55720.061568
30.0838930.77350.2207
40.0756120.69710.243818
50.1185281.09280.13879
6-0.143545-1.32340.094623
70.0036060.03320.486778
8-0.035777-0.32980.371164
90.1772081.63380.053002
100.0730080.67310.251356
110.1623511.49680.069075
12-0.11271-1.03910.150845
13-0.520561-4.79933e-06
14-0.049275-0.45430.325389
15-0.076627-0.70650.240916
160.0162840.15010.440509
170.0138640.12780.449296
18-0.00066-0.00610.497578
190.0938860.86560.194577
20-0.036084-0.33270.370099
21-0.008634-0.07960.468371
22-0.041929-0.38660.350022
23-0.058782-0.54190.294639
240.0651710.60080.274772
25-0.162497-1.49820.068899
26-0.002584-0.02380.490524
27-0.024515-0.2260.410865
28-0.010372-0.09560.462023
29-0.073183-0.67470.250845
300.0257080.2370.406608
31-0.010779-0.09940.460536
32-0.000757-0.0070.497224
33-0.029721-0.2740.392368
34-0.042799-0.39460.347069
350.0200650.1850.42684
36-0.046593-0.42960.334298
37-0.128761-1.18710.119244
38-0.034144-0.31480.376845
390.011690.10780.457213
400.0079960.07370.470702
41-0.027751-0.25580.399344
42-0.000757-0.0070.497226
43-0.008542-0.07880.468705
44-0.054-0.49790.309937
450.0090650.08360.466794
46-0.0526-0.48490.31448
47-0.000243-0.00220.499108
480.0413340.38110.352048


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')