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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, 05 Dec 2008 02:37:05 -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/05/t1228469877e3st8mip7gv10sa.htm/, Retrieved Thu, 16 May 2024 08:43:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29089, Retrieved Thu, 16 May 2024 08:43:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid BELGIE] [2008-10-19 10:57:42] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMP     [(Partial) Autocorrelation Function] [Taak 8 - Step 3 A...] [2008-12-05 09:37:05] [b23db733701c4d62df5e228d507c1c6a] [Current]
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Dataseries X:
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
517945




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=29089&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=29089&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29089&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
1-0.076324-0.52320.30163
20.077720.53280.298333
30.1788451.22610.113134
40.0967830.66350.255123
5-0.06382-0.43750.331865
60.0550990.37770.353663
7-0.007454-0.05110.479731
80.0918150.62940.266051
9-0.039907-0.27360.3928
10-0.100735-0.69060.246606
110.1990871.36490.089397
12-0.235198-1.61240.056781
13-0.170647-1.16990.12397
140.1042810.71490.2391
15-0.120683-0.82740.206106
16-0.163261-1.11930.134358
170.0018510.01270.494966
18-0.00672-0.04610.481726
190.02940.20160.420566
200.0109680.07520.470191
210.0101680.06970.47236
220.0509970.34960.364093
230.0435930.29890.383183
24-0.106524-0.73030.234419
250.0224720.15410.439111
26-0.064537-0.44240.330099
27-0.031899-0.21870.41392
28-0.026153-0.17930.429239
290.1057650.72510.235997
30-0.071528-0.49040.313076
310.0009190.00630.497499
32-0.029105-0.19950.421354
330.002740.01880.492546
34-0.098795-0.67730.250766
35-0.040672-0.27880.390798
36-0.03989-0.27350.392845
37-0.003557-0.02440.490323
38-0.00058-0.0040.498423
39-0.022619-0.15510.438715
400.0243840.16720.433977
41-0.067506-0.46280.322823
42-0.014804-0.10150.459796
430.0375350.25730.399025
44-0.032069-0.21990.413467
45-0.01605-0.110.456424
460.0066170.04540.482006
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.076324 & -0.5232 & 0.30163 \tabularnewline
2 & 0.07772 & 0.5328 & 0.298333 \tabularnewline
3 & 0.178845 & 1.2261 & 0.113134 \tabularnewline
4 & 0.096783 & 0.6635 & 0.255123 \tabularnewline
5 & -0.06382 & -0.4375 & 0.331865 \tabularnewline
6 & 0.055099 & 0.3777 & 0.353663 \tabularnewline
7 & -0.007454 & -0.0511 & 0.479731 \tabularnewline
8 & 0.091815 & 0.6294 & 0.266051 \tabularnewline
9 & -0.039907 & -0.2736 & 0.3928 \tabularnewline
10 & -0.100735 & -0.6906 & 0.246606 \tabularnewline
11 & 0.199087 & 1.3649 & 0.089397 \tabularnewline
12 & -0.235198 & -1.6124 & 0.056781 \tabularnewline
13 & -0.170647 & -1.1699 & 0.12397 \tabularnewline
14 & 0.104281 & 0.7149 & 0.2391 \tabularnewline
15 & -0.120683 & -0.8274 & 0.206106 \tabularnewline
16 & -0.163261 & -1.1193 & 0.134358 \tabularnewline
17 & 0.001851 & 0.0127 & 0.494966 \tabularnewline
18 & -0.00672 & -0.0461 & 0.481726 \tabularnewline
19 & 0.0294 & 0.2016 & 0.420566 \tabularnewline
20 & 0.010968 & 0.0752 & 0.470191 \tabularnewline
21 & 0.010168 & 0.0697 & 0.47236 \tabularnewline
22 & 0.050997 & 0.3496 & 0.364093 \tabularnewline
23 & 0.043593 & 0.2989 & 0.383183 \tabularnewline
24 & -0.106524 & -0.7303 & 0.234419 \tabularnewline
25 & 0.022472 & 0.1541 & 0.439111 \tabularnewline
26 & -0.064537 & -0.4424 & 0.330099 \tabularnewline
27 & -0.031899 & -0.2187 & 0.41392 \tabularnewline
28 & -0.026153 & -0.1793 & 0.429239 \tabularnewline
29 & 0.105765 & 0.7251 & 0.235997 \tabularnewline
30 & -0.071528 & -0.4904 & 0.313076 \tabularnewline
31 & 0.000919 & 0.0063 & 0.497499 \tabularnewline
32 & -0.029105 & -0.1995 & 0.421354 \tabularnewline
33 & 0.00274 & 0.0188 & 0.492546 \tabularnewline
34 & -0.098795 & -0.6773 & 0.250766 \tabularnewline
35 & -0.040672 & -0.2788 & 0.390798 \tabularnewline
36 & -0.03989 & -0.2735 & 0.392845 \tabularnewline
37 & -0.003557 & -0.0244 & 0.490323 \tabularnewline
38 & -0.00058 & -0.004 & 0.498423 \tabularnewline
39 & -0.022619 & -0.1551 & 0.438715 \tabularnewline
40 & 0.024384 & 0.1672 & 0.433977 \tabularnewline
41 & -0.067506 & -0.4628 & 0.322823 \tabularnewline
42 & -0.014804 & -0.1015 & 0.459796 \tabularnewline
43 & 0.037535 & 0.2573 & 0.399025 \tabularnewline
44 & -0.032069 & -0.2199 & 0.413467 \tabularnewline
45 & -0.01605 & -0.11 & 0.456424 \tabularnewline
46 & 0.006617 & 0.0454 & 0.482006 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29089&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]-0.076324[/C][C]-0.5232[/C][C]0.30163[/C][/ROW]
[ROW][C]2[/C][C]0.07772[/C][C]0.5328[/C][C]0.298333[/C][/ROW]
[ROW][C]3[/C][C]0.178845[/C][C]1.2261[/C][C]0.113134[/C][/ROW]
[ROW][C]4[/C][C]0.096783[/C][C]0.6635[/C][C]0.255123[/C][/ROW]
[ROW][C]5[/C][C]-0.06382[/C][C]-0.4375[/C][C]0.331865[/C][/ROW]
[ROW][C]6[/C][C]0.055099[/C][C]0.3777[/C][C]0.353663[/C][/ROW]
[ROW][C]7[/C][C]-0.007454[/C][C]-0.0511[/C][C]0.479731[/C][/ROW]
[ROW][C]8[/C][C]0.091815[/C][C]0.6294[/C][C]0.266051[/C][/ROW]
[ROW][C]9[/C][C]-0.039907[/C][C]-0.2736[/C][C]0.3928[/C][/ROW]
[ROW][C]10[/C][C]-0.100735[/C][C]-0.6906[/C][C]0.246606[/C][/ROW]
[ROW][C]11[/C][C]0.199087[/C][C]1.3649[/C][C]0.089397[/C][/ROW]
[ROW][C]12[/C][C]-0.235198[/C][C]-1.6124[/C][C]0.056781[/C][/ROW]
[ROW][C]13[/C][C]-0.170647[/C][C]-1.1699[/C][C]0.12397[/C][/ROW]
[ROW][C]14[/C][C]0.104281[/C][C]0.7149[/C][C]0.2391[/C][/ROW]
[ROW][C]15[/C][C]-0.120683[/C][C]-0.8274[/C][C]0.206106[/C][/ROW]
[ROW][C]16[/C][C]-0.163261[/C][C]-1.1193[/C][C]0.134358[/C][/ROW]
[ROW][C]17[/C][C]0.001851[/C][C]0.0127[/C][C]0.494966[/C][/ROW]
[ROW][C]18[/C][C]-0.00672[/C][C]-0.0461[/C][C]0.481726[/C][/ROW]
[ROW][C]19[/C][C]0.0294[/C][C]0.2016[/C][C]0.420566[/C][/ROW]
[ROW][C]20[/C][C]0.010968[/C][C]0.0752[/C][C]0.470191[/C][/ROW]
[ROW][C]21[/C][C]0.010168[/C][C]0.0697[/C][C]0.47236[/C][/ROW]
[ROW][C]22[/C][C]0.050997[/C][C]0.3496[/C][C]0.364093[/C][/ROW]
[ROW][C]23[/C][C]0.043593[/C][C]0.2989[/C][C]0.383183[/C][/ROW]
[ROW][C]24[/C][C]-0.106524[/C][C]-0.7303[/C][C]0.234419[/C][/ROW]
[ROW][C]25[/C][C]0.022472[/C][C]0.1541[/C][C]0.439111[/C][/ROW]
[ROW][C]26[/C][C]-0.064537[/C][C]-0.4424[/C][C]0.330099[/C][/ROW]
[ROW][C]27[/C][C]-0.031899[/C][C]-0.2187[/C][C]0.41392[/C][/ROW]
[ROW][C]28[/C][C]-0.026153[/C][C]-0.1793[/C][C]0.429239[/C][/ROW]
[ROW][C]29[/C][C]0.105765[/C][C]0.7251[/C][C]0.235997[/C][/ROW]
[ROW][C]30[/C][C]-0.071528[/C][C]-0.4904[/C][C]0.313076[/C][/ROW]
[ROW][C]31[/C][C]0.000919[/C][C]0.0063[/C][C]0.497499[/C][/ROW]
[ROW][C]32[/C][C]-0.029105[/C][C]-0.1995[/C][C]0.421354[/C][/ROW]
[ROW][C]33[/C][C]0.00274[/C][C]0.0188[/C][C]0.492546[/C][/ROW]
[ROW][C]34[/C][C]-0.098795[/C][C]-0.6773[/C][C]0.250766[/C][/ROW]
[ROW][C]35[/C][C]-0.040672[/C][C]-0.2788[/C][C]0.390798[/C][/ROW]
[ROW][C]36[/C][C]-0.03989[/C][C]-0.2735[/C][C]0.392845[/C][/ROW]
[ROW][C]37[/C][C]-0.003557[/C][C]-0.0244[/C][C]0.490323[/C][/ROW]
[ROW][C]38[/C][C]-0.00058[/C][C]-0.004[/C][C]0.498423[/C][/ROW]
[ROW][C]39[/C][C]-0.022619[/C][C]-0.1551[/C][C]0.438715[/C][/ROW]
[ROW][C]40[/C][C]0.024384[/C][C]0.1672[/C][C]0.433977[/C][/ROW]
[ROW][C]41[/C][C]-0.067506[/C][C]-0.4628[/C][C]0.322823[/C][/ROW]
[ROW][C]42[/C][C]-0.014804[/C][C]-0.1015[/C][C]0.459796[/C][/ROW]
[ROW][C]43[/C][C]0.037535[/C][C]0.2573[/C][C]0.399025[/C][/ROW]
[ROW][C]44[/C][C]-0.032069[/C][C]-0.2199[/C][C]0.413467[/C][/ROW]
[ROW][C]45[/C][C]-0.01605[/C][C]-0.11[/C][C]0.456424[/C][/ROW]
[ROW][C]46[/C][C]0.006617[/C][C]0.0454[/C][C]0.482006[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29089&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29089&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
1-0.076324-0.52320.30163
20.077720.53280.298333
30.1788451.22610.113134
40.0967830.66350.255123
5-0.06382-0.43750.331865
60.0550990.37770.353663
7-0.007454-0.05110.479731
80.0918150.62940.266051
9-0.039907-0.27360.3928
10-0.100735-0.69060.246606
110.1990871.36490.089397
12-0.235198-1.61240.056781
13-0.170647-1.16990.12397
140.1042810.71490.2391
15-0.120683-0.82740.206106
16-0.163261-1.11930.134358
170.0018510.01270.494966
18-0.00672-0.04610.481726
190.02940.20160.420566
200.0109680.07520.470191
210.0101680.06970.47236
220.0509970.34960.364093
230.0435930.29890.383183
24-0.106524-0.73030.234419
250.0224720.15410.439111
26-0.064537-0.44240.330099
27-0.031899-0.21870.41392
28-0.026153-0.17930.429239
290.1057650.72510.235997
30-0.071528-0.49040.313076
310.0009190.00630.497499
32-0.029105-0.19950.421354
330.002740.01880.492546
34-0.098795-0.67730.250766
35-0.040672-0.27880.390798
36-0.03989-0.27350.392845
37-0.003557-0.02440.490323
38-0.00058-0.0040.498423
39-0.022619-0.15510.438715
400.0243840.16720.433977
41-0.067506-0.46280.322823
42-0.014804-0.10150.459796
430.0375350.25730.399025
44-0.032069-0.21990.413467
45-0.01605-0.110.456424
460.0066170.04540.482006
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.076324-0.52320.30163
20.0723160.49580.311182
30.1919841.31620.097249
40.1258810.8630.19626
5-0.07772-0.53280.298333
6-0.013265-0.09090.463963
7-0.034963-0.23970.405805
80.1073320.73580.232746
9-0.01208-0.08280.467175
10-0.137412-0.9420.175493
110.1653721.13370.131329
12-0.21811-1.49530.070762
13-0.196216-1.34520.092509
140.0829720.56880.286092
15-0.055299-0.37910.353156
16-0.070816-0.48550.314793
17-0.037531-0.25730.399037
180.0386840.26520.396005
190.0945260.6480.260058
200.0692570.47480.318565
210.0622070.42650.335855
22-0.076655-0.52550.300846
230.100520.68910.247066
24-0.076798-0.52650.300509
25-0.172322-1.18140.121697
26-0.061143-0.41920.3385
27-0.004166-0.02860.488669
28-0.079275-0.54350.294684
290.1027030.70410.242424
30-0.032848-0.22520.411403
31-0.025349-0.17380.431391
32-0.007366-0.05050.479969
330.0406320.27860.390904
34-0.098471-0.67510.251466
350.026640.18260.427936
360.0143510.09840.461021
37-0.083704-0.57380.284403
380.0273630.18760.426002
390.0070670.04840.480783
40-0.09902-0.67880.250283
41-0.073078-0.5010.309356
42-0.012242-0.08390.466736
430.0100970.06920.472553
44-0.007485-0.05130.479646
450.0908450.62280.268213
46-0.066784-0.45790.324585
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.076324 & -0.5232 & 0.30163 \tabularnewline
2 & 0.072316 & 0.4958 & 0.311182 \tabularnewline
3 & 0.191984 & 1.3162 & 0.097249 \tabularnewline
4 & 0.125881 & 0.863 & 0.19626 \tabularnewline
5 & -0.07772 & -0.5328 & 0.298333 \tabularnewline
6 & -0.013265 & -0.0909 & 0.463963 \tabularnewline
7 & -0.034963 & -0.2397 & 0.405805 \tabularnewline
8 & 0.107332 & 0.7358 & 0.232746 \tabularnewline
9 & -0.01208 & -0.0828 & 0.467175 \tabularnewline
10 & -0.137412 & -0.942 & 0.175493 \tabularnewline
11 & 0.165372 & 1.1337 & 0.131329 \tabularnewline
12 & -0.21811 & -1.4953 & 0.070762 \tabularnewline
13 & -0.196216 & -1.3452 & 0.092509 \tabularnewline
14 & 0.082972 & 0.5688 & 0.286092 \tabularnewline
15 & -0.055299 & -0.3791 & 0.353156 \tabularnewline
16 & -0.070816 & -0.4855 & 0.314793 \tabularnewline
17 & -0.037531 & -0.2573 & 0.399037 \tabularnewline
18 & 0.038684 & 0.2652 & 0.396005 \tabularnewline
19 & 0.094526 & 0.648 & 0.260058 \tabularnewline
20 & 0.069257 & 0.4748 & 0.318565 \tabularnewline
21 & 0.062207 & 0.4265 & 0.335855 \tabularnewline
22 & -0.076655 & -0.5255 & 0.300846 \tabularnewline
23 & 0.10052 & 0.6891 & 0.247066 \tabularnewline
24 & -0.076798 & -0.5265 & 0.300509 \tabularnewline
25 & -0.172322 & -1.1814 & 0.121697 \tabularnewline
26 & -0.061143 & -0.4192 & 0.3385 \tabularnewline
27 & -0.004166 & -0.0286 & 0.488669 \tabularnewline
28 & -0.079275 & -0.5435 & 0.294684 \tabularnewline
29 & 0.102703 & 0.7041 & 0.242424 \tabularnewline
30 & -0.032848 & -0.2252 & 0.411403 \tabularnewline
31 & -0.025349 & -0.1738 & 0.431391 \tabularnewline
32 & -0.007366 & -0.0505 & 0.479969 \tabularnewline
33 & 0.040632 & 0.2786 & 0.390904 \tabularnewline
34 & -0.098471 & -0.6751 & 0.251466 \tabularnewline
35 & 0.02664 & 0.1826 & 0.427936 \tabularnewline
36 & 0.014351 & 0.0984 & 0.461021 \tabularnewline
37 & -0.083704 & -0.5738 & 0.284403 \tabularnewline
38 & 0.027363 & 0.1876 & 0.426002 \tabularnewline
39 & 0.007067 & 0.0484 & 0.480783 \tabularnewline
40 & -0.09902 & -0.6788 & 0.250283 \tabularnewline
41 & -0.073078 & -0.501 & 0.309356 \tabularnewline
42 & -0.012242 & -0.0839 & 0.466736 \tabularnewline
43 & 0.010097 & 0.0692 & 0.472553 \tabularnewline
44 & -0.007485 & -0.0513 & 0.479646 \tabularnewline
45 & 0.090845 & 0.6228 & 0.268213 \tabularnewline
46 & -0.066784 & -0.4579 & 0.324585 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
49 & NA & NA & NA \tabularnewline
50 & NA & NA & NA \tabularnewline
51 & NA & NA & NA \tabularnewline
52 & NA & NA & NA \tabularnewline
53 & NA & NA & NA \tabularnewline
54 & NA & NA & NA \tabularnewline
55 & NA & NA & NA \tabularnewline
56 & NA & NA & NA \tabularnewline
57 & NA & NA & NA \tabularnewline
58 & NA & NA & NA \tabularnewline
59 & NA & NA & NA \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29089&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]-0.076324[/C][C]-0.5232[/C][C]0.30163[/C][/ROW]
[ROW][C]2[/C][C]0.072316[/C][C]0.4958[/C][C]0.311182[/C][/ROW]
[ROW][C]3[/C][C]0.191984[/C][C]1.3162[/C][C]0.097249[/C][/ROW]
[ROW][C]4[/C][C]0.125881[/C][C]0.863[/C][C]0.19626[/C][/ROW]
[ROW][C]5[/C][C]-0.07772[/C][C]-0.5328[/C][C]0.298333[/C][/ROW]
[ROW][C]6[/C][C]-0.013265[/C][C]-0.0909[/C][C]0.463963[/C][/ROW]
[ROW][C]7[/C][C]-0.034963[/C][C]-0.2397[/C][C]0.405805[/C][/ROW]
[ROW][C]8[/C][C]0.107332[/C][C]0.7358[/C][C]0.232746[/C][/ROW]
[ROW][C]9[/C][C]-0.01208[/C][C]-0.0828[/C][C]0.467175[/C][/ROW]
[ROW][C]10[/C][C]-0.137412[/C][C]-0.942[/C][C]0.175493[/C][/ROW]
[ROW][C]11[/C][C]0.165372[/C][C]1.1337[/C][C]0.131329[/C][/ROW]
[ROW][C]12[/C][C]-0.21811[/C][C]-1.4953[/C][C]0.070762[/C][/ROW]
[ROW][C]13[/C][C]-0.196216[/C][C]-1.3452[/C][C]0.092509[/C][/ROW]
[ROW][C]14[/C][C]0.082972[/C][C]0.5688[/C][C]0.286092[/C][/ROW]
[ROW][C]15[/C][C]-0.055299[/C][C]-0.3791[/C][C]0.353156[/C][/ROW]
[ROW][C]16[/C][C]-0.070816[/C][C]-0.4855[/C][C]0.314793[/C][/ROW]
[ROW][C]17[/C][C]-0.037531[/C][C]-0.2573[/C][C]0.399037[/C][/ROW]
[ROW][C]18[/C][C]0.038684[/C][C]0.2652[/C][C]0.396005[/C][/ROW]
[ROW][C]19[/C][C]0.094526[/C][C]0.648[/C][C]0.260058[/C][/ROW]
[ROW][C]20[/C][C]0.069257[/C][C]0.4748[/C][C]0.318565[/C][/ROW]
[ROW][C]21[/C][C]0.062207[/C][C]0.4265[/C][C]0.335855[/C][/ROW]
[ROW][C]22[/C][C]-0.076655[/C][C]-0.5255[/C][C]0.300846[/C][/ROW]
[ROW][C]23[/C][C]0.10052[/C][C]0.6891[/C][C]0.247066[/C][/ROW]
[ROW][C]24[/C][C]-0.076798[/C][C]-0.5265[/C][C]0.300509[/C][/ROW]
[ROW][C]25[/C][C]-0.172322[/C][C]-1.1814[/C][C]0.121697[/C][/ROW]
[ROW][C]26[/C][C]-0.061143[/C][C]-0.4192[/C][C]0.3385[/C][/ROW]
[ROW][C]27[/C][C]-0.004166[/C][C]-0.0286[/C][C]0.488669[/C][/ROW]
[ROW][C]28[/C][C]-0.079275[/C][C]-0.5435[/C][C]0.294684[/C][/ROW]
[ROW][C]29[/C][C]0.102703[/C][C]0.7041[/C][C]0.242424[/C][/ROW]
[ROW][C]30[/C][C]-0.032848[/C][C]-0.2252[/C][C]0.411403[/C][/ROW]
[ROW][C]31[/C][C]-0.025349[/C][C]-0.1738[/C][C]0.431391[/C][/ROW]
[ROW][C]32[/C][C]-0.007366[/C][C]-0.0505[/C][C]0.479969[/C][/ROW]
[ROW][C]33[/C][C]0.040632[/C][C]0.2786[/C][C]0.390904[/C][/ROW]
[ROW][C]34[/C][C]-0.098471[/C][C]-0.6751[/C][C]0.251466[/C][/ROW]
[ROW][C]35[/C][C]0.02664[/C][C]0.1826[/C][C]0.427936[/C][/ROW]
[ROW][C]36[/C][C]0.014351[/C][C]0.0984[/C][C]0.461021[/C][/ROW]
[ROW][C]37[/C][C]-0.083704[/C][C]-0.5738[/C][C]0.284403[/C][/ROW]
[ROW][C]38[/C][C]0.027363[/C][C]0.1876[/C][C]0.426002[/C][/ROW]
[ROW][C]39[/C][C]0.007067[/C][C]0.0484[/C][C]0.480783[/C][/ROW]
[ROW][C]40[/C][C]-0.09902[/C][C]-0.6788[/C][C]0.250283[/C][/ROW]
[ROW][C]41[/C][C]-0.073078[/C][C]-0.501[/C][C]0.309356[/C][/ROW]
[ROW][C]42[/C][C]-0.012242[/C][C]-0.0839[/C][C]0.466736[/C][/ROW]
[ROW][C]43[/C][C]0.010097[/C][C]0.0692[/C][C]0.472553[/C][/ROW]
[ROW][C]44[/C][C]-0.007485[/C][C]-0.0513[/C][C]0.479646[/C][/ROW]
[ROW][C]45[/C][C]0.090845[/C][C]0.6228[/C][C]0.268213[/C][/ROW]
[ROW][C]46[/C][C]-0.066784[/C][C]-0.4579[/C][C]0.324585[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]49[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]50[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]51[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]52[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]53[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]54[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]55[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]56[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]57[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]58[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]59[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]60[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29089&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29089&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
1-0.076324-0.52320.30163
20.0723160.49580.311182
30.1919841.31620.097249
40.1258810.8630.19626
5-0.07772-0.53280.298333
6-0.013265-0.09090.463963
7-0.034963-0.23970.405805
80.1073320.73580.232746
9-0.01208-0.08280.467175
10-0.137412-0.9420.175493
110.1653721.13370.131329
12-0.21811-1.49530.070762
13-0.196216-1.34520.092509
140.0829720.56880.286092
15-0.055299-0.37910.353156
16-0.070816-0.48550.314793
17-0.037531-0.25730.399037
180.0386840.26520.396005
190.0945260.6480.260058
200.0692570.47480.318565
210.0622070.42650.335855
22-0.076655-0.52550.300846
230.100520.68910.247066
24-0.076798-0.52650.300509
25-0.172322-1.18140.121697
26-0.061143-0.41920.3385
27-0.004166-0.02860.488669
28-0.079275-0.54350.294684
290.1027030.70410.242424
30-0.032848-0.22520.411403
31-0.025349-0.17380.431391
32-0.007366-0.05050.479969
330.0406320.27860.390904
34-0.098471-0.67510.251466
350.026640.18260.427936
360.0143510.09840.461021
37-0.083704-0.57380.284403
380.0273630.18760.426002
390.0070670.04840.480783
40-0.09902-0.67880.250283
41-0.073078-0.5010.309356
42-0.012242-0.08390.466736
430.0100970.06920.472553
44-0.007485-0.05130.479646
450.0908450.62280.268213
46-0.066784-0.45790.324585
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1.2 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1.2 ; 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')