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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 computationThu, 10 Dec 2009 15:43:42 -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/2009/Dec/10/t1260485077g8aiigdaq32pgsf.htm/, Retrieved Fri, 29 Mar 2024 13:59:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=65840, Retrieved Fri, 29 Mar 2024 13:59:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsverbetering 3
Estimated Impact175
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Paper statistiek:...] [2009-12-04 15:31:04] [3cb427d596a5d2eb77fa64560dc91319]
-   P     [(Partial) Autocorrelation Function] [Workshop 9] [2009-12-10 22:43:42] [682632737e024f9e62885141c5f654cd] [Current]
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Dataseries X:
1.43
1.43
1.43
1.43
1.43
1.43
1.44
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.57
1.58
1.58
1.58
1.58
1.59
1.6
1.6
1.61
1.61
1.61
1.62
1.63
1.63
1.64
1.64
1.64
1.64
1.64
1.65
1.65
1.65
1.65




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65840&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]6 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=65840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65840&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 time6 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9472117.33710
20.8899166.89330
30.8320216.44480
40.7732245.98940
50.7175265.55790
60.6582235.09862e-06
70.5982254.63381e-05
80.5489614.25223.8e-05
90.4963923.8450.000147
100.4472233.46420.000494
110.3977533.0810.001556
120.3486792.70090.004488
130.3006012.32840.011638
140.2519231.95140.027842
150.200241.55110.063074
160.1522571.17940.121451
170.1042750.80770.211225
180.0599920.46470.321916
190.0191080.1480.441415
20-0.024479-0.18960.425127
21-0.068066-0.52720.299988
22-0.111653-0.86490.195281
23-0.15154-1.17380.122553
24-0.158128-1.22490.112708
25-0.164717-1.27590.103455
26-0.171306-1.32690.09478
27-0.177894-1.3780.086666
28-0.184483-1.4290.079095
29-0.191072-1.480.072048
30-0.19766-1.53110.065504
31-0.215063-1.66590.050476
32-0.236371-1.83090.036039
33-0.257979-1.99830.025111
34-0.279588-2.16570.017161
35-0.301196-2.33310.011508
36-0.324006-2.50970.007399
37-0.348318-2.69810.004522
38-0.346751-2.68590.004671
39-0.343476-2.66060.004996
40-0.340503-2.63750.00531
41-0.337529-2.61450.005641
42-0.335757-2.60080.005848
43-0.332578-2.57610.006235
44-0.32679-2.53130.007001
45-0.322204-2.49580.007667
46-0.31501-2.44010.008828
47-0.307816-2.38430.010145
48-0.300621-2.32860.011634
49-0.290518-2.25030.014053
50-0.278708-2.15890.017435
51-0.267198-2.06970.021397
52-0.252779-1.9580.027441
53-0.23836-1.84630.034889
54-0.209142-1.620.055237
55-0.176225-1.3650.08867
56-0.143307-1.110.135704
57-0.10748-0.83250.204204
58-0.071653-0.5550.290471
59-0.035827-0.27750.39117
60NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.947211 & 7.3371 & 0 \tabularnewline
2 & 0.889916 & 6.8933 & 0 \tabularnewline
3 & 0.832021 & 6.4448 & 0 \tabularnewline
4 & 0.773224 & 5.9894 & 0 \tabularnewline
5 & 0.717526 & 5.5579 & 0 \tabularnewline
6 & 0.658223 & 5.0986 & 2e-06 \tabularnewline
7 & 0.598225 & 4.6338 & 1e-05 \tabularnewline
8 & 0.548961 & 4.2522 & 3.8e-05 \tabularnewline
9 & 0.496392 & 3.845 & 0.000147 \tabularnewline
10 & 0.447223 & 3.4642 & 0.000494 \tabularnewline
11 & 0.397753 & 3.081 & 0.001556 \tabularnewline
12 & 0.348679 & 2.7009 & 0.004488 \tabularnewline
13 & 0.300601 & 2.3284 & 0.011638 \tabularnewline
14 & 0.251923 & 1.9514 & 0.027842 \tabularnewline
15 & 0.20024 & 1.5511 & 0.063074 \tabularnewline
16 & 0.152257 & 1.1794 & 0.121451 \tabularnewline
17 & 0.104275 & 0.8077 & 0.211225 \tabularnewline
18 & 0.059992 & 0.4647 & 0.321916 \tabularnewline
19 & 0.019108 & 0.148 & 0.441415 \tabularnewline
20 & -0.024479 & -0.1896 & 0.425127 \tabularnewline
21 & -0.068066 & -0.5272 & 0.299988 \tabularnewline
22 & -0.111653 & -0.8649 & 0.195281 \tabularnewline
23 & -0.15154 & -1.1738 & 0.122553 \tabularnewline
24 & -0.158128 & -1.2249 & 0.112708 \tabularnewline
25 & -0.164717 & -1.2759 & 0.103455 \tabularnewline
26 & -0.171306 & -1.3269 & 0.09478 \tabularnewline
27 & -0.177894 & -1.378 & 0.086666 \tabularnewline
28 & -0.184483 & -1.429 & 0.079095 \tabularnewline
29 & -0.191072 & -1.48 & 0.072048 \tabularnewline
30 & -0.19766 & -1.5311 & 0.065504 \tabularnewline
31 & -0.215063 & -1.6659 & 0.050476 \tabularnewline
32 & -0.236371 & -1.8309 & 0.036039 \tabularnewline
33 & -0.257979 & -1.9983 & 0.025111 \tabularnewline
34 & -0.279588 & -2.1657 & 0.017161 \tabularnewline
35 & -0.301196 & -2.3331 & 0.011508 \tabularnewline
36 & -0.324006 & -2.5097 & 0.007399 \tabularnewline
37 & -0.348318 & -2.6981 & 0.004522 \tabularnewline
38 & -0.346751 & -2.6859 & 0.004671 \tabularnewline
39 & -0.343476 & -2.6606 & 0.004996 \tabularnewline
40 & -0.340503 & -2.6375 & 0.00531 \tabularnewline
41 & -0.337529 & -2.6145 & 0.005641 \tabularnewline
42 & -0.335757 & -2.6008 & 0.005848 \tabularnewline
43 & -0.332578 & -2.5761 & 0.006235 \tabularnewline
44 & -0.32679 & -2.5313 & 0.007001 \tabularnewline
45 & -0.322204 & -2.4958 & 0.007667 \tabularnewline
46 & -0.31501 & -2.4401 & 0.008828 \tabularnewline
47 & -0.307816 & -2.3843 & 0.010145 \tabularnewline
48 & -0.300621 & -2.3286 & 0.011634 \tabularnewline
49 & -0.290518 & -2.2503 & 0.014053 \tabularnewline
50 & -0.278708 & -2.1589 & 0.017435 \tabularnewline
51 & -0.267198 & -2.0697 & 0.021397 \tabularnewline
52 & -0.252779 & -1.958 & 0.027441 \tabularnewline
53 & -0.23836 & -1.8463 & 0.034889 \tabularnewline
54 & -0.209142 & -1.62 & 0.055237 \tabularnewline
55 & -0.176225 & -1.365 & 0.08867 \tabularnewline
56 & -0.143307 & -1.11 & 0.135704 \tabularnewline
57 & -0.10748 & -0.8325 & 0.204204 \tabularnewline
58 & -0.071653 & -0.555 & 0.290471 \tabularnewline
59 & -0.035827 & -0.2775 & 0.39117 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65840&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]0.947211[/C][C]7.3371[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.889916[/C][C]6.8933[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.832021[/C][C]6.4448[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.773224[/C][C]5.9894[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.717526[/C][C]5.5579[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.658223[/C][C]5.0986[/C][C]2e-06[/C][/ROW]
[ROW][C]7[/C][C]0.598225[/C][C]4.6338[/C][C]1e-05[/C][/ROW]
[ROW][C]8[/C][C]0.548961[/C][C]4.2522[/C][C]3.8e-05[/C][/ROW]
[ROW][C]9[/C][C]0.496392[/C][C]3.845[/C][C]0.000147[/C][/ROW]
[ROW][C]10[/C][C]0.447223[/C][C]3.4642[/C][C]0.000494[/C][/ROW]
[ROW][C]11[/C][C]0.397753[/C][C]3.081[/C][C]0.001556[/C][/ROW]
[ROW][C]12[/C][C]0.348679[/C][C]2.7009[/C][C]0.004488[/C][/ROW]
[ROW][C]13[/C][C]0.300601[/C][C]2.3284[/C][C]0.011638[/C][/ROW]
[ROW][C]14[/C][C]0.251923[/C][C]1.9514[/C][C]0.027842[/C][/ROW]
[ROW][C]15[/C][C]0.20024[/C][C]1.5511[/C][C]0.063074[/C][/ROW]
[ROW][C]16[/C][C]0.152257[/C][C]1.1794[/C][C]0.121451[/C][/ROW]
[ROW][C]17[/C][C]0.104275[/C][C]0.8077[/C][C]0.211225[/C][/ROW]
[ROW][C]18[/C][C]0.059992[/C][C]0.4647[/C][C]0.321916[/C][/ROW]
[ROW][C]19[/C][C]0.019108[/C][C]0.148[/C][C]0.441415[/C][/ROW]
[ROW][C]20[/C][C]-0.024479[/C][C]-0.1896[/C][C]0.425127[/C][/ROW]
[ROW][C]21[/C][C]-0.068066[/C][C]-0.5272[/C][C]0.299988[/C][/ROW]
[ROW][C]22[/C][C]-0.111653[/C][C]-0.8649[/C][C]0.195281[/C][/ROW]
[ROW][C]23[/C][C]-0.15154[/C][C]-1.1738[/C][C]0.122553[/C][/ROW]
[ROW][C]24[/C][C]-0.158128[/C][C]-1.2249[/C][C]0.112708[/C][/ROW]
[ROW][C]25[/C][C]-0.164717[/C][C]-1.2759[/C][C]0.103455[/C][/ROW]
[ROW][C]26[/C][C]-0.171306[/C][C]-1.3269[/C][C]0.09478[/C][/ROW]
[ROW][C]27[/C][C]-0.177894[/C][C]-1.378[/C][C]0.086666[/C][/ROW]
[ROW][C]28[/C][C]-0.184483[/C][C]-1.429[/C][C]0.079095[/C][/ROW]
[ROW][C]29[/C][C]-0.191072[/C][C]-1.48[/C][C]0.072048[/C][/ROW]
[ROW][C]30[/C][C]-0.19766[/C][C]-1.5311[/C][C]0.065504[/C][/ROW]
[ROW][C]31[/C][C]-0.215063[/C][C]-1.6659[/C][C]0.050476[/C][/ROW]
[ROW][C]32[/C][C]-0.236371[/C][C]-1.8309[/C][C]0.036039[/C][/ROW]
[ROW][C]33[/C][C]-0.257979[/C][C]-1.9983[/C][C]0.025111[/C][/ROW]
[ROW][C]34[/C][C]-0.279588[/C][C]-2.1657[/C][C]0.017161[/C][/ROW]
[ROW][C]35[/C][C]-0.301196[/C][C]-2.3331[/C][C]0.011508[/C][/ROW]
[ROW][C]36[/C][C]-0.324006[/C][C]-2.5097[/C][C]0.007399[/C][/ROW]
[ROW][C]37[/C][C]-0.348318[/C][C]-2.6981[/C][C]0.004522[/C][/ROW]
[ROW][C]38[/C][C]-0.346751[/C][C]-2.6859[/C][C]0.004671[/C][/ROW]
[ROW][C]39[/C][C]-0.343476[/C][C]-2.6606[/C][C]0.004996[/C][/ROW]
[ROW][C]40[/C][C]-0.340503[/C][C]-2.6375[/C][C]0.00531[/C][/ROW]
[ROW][C]41[/C][C]-0.337529[/C][C]-2.6145[/C][C]0.005641[/C][/ROW]
[ROW][C]42[/C][C]-0.335757[/C][C]-2.6008[/C][C]0.005848[/C][/ROW]
[ROW][C]43[/C][C]-0.332578[/C][C]-2.5761[/C][C]0.006235[/C][/ROW]
[ROW][C]44[/C][C]-0.32679[/C][C]-2.5313[/C][C]0.007001[/C][/ROW]
[ROW][C]45[/C][C]-0.322204[/C][C]-2.4958[/C][C]0.007667[/C][/ROW]
[ROW][C]46[/C][C]-0.31501[/C][C]-2.4401[/C][C]0.008828[/C][/ROW]
[ROW][C]47[/C][C]-0.307816[/C][C]-2.3843[/C][C]0.010145[/C][/ROW]
[ROW][C]48[/C][C]-0.300621[/C][C]-2.3286[/C][C]0.011634[/C][/ROW]
[ROW][C]49[/C][C]-0.290518[/C][C]-2.2503[/C][C]0.014053[/C][/ROW]
[ROW][C]50[/C][C]-0.278708[/C][C]-2.1589[/C][C]0.017435[/C][/ROW]
[ROW][C]51[/C][C]-0.267198[/C][C]-2.0697[/C][C]0.021397[/C][/ROW]
[ROW][C]52[/C][C]-0.252779[/C][C]-1.958[/C][C]0.027441[/C][/ROW]
[ROW][C]53[/C][C]-0.23836[/C][C]-1.8463[/C][C]0.034889[/C][/ROW]
[ROW][C]54[/C][C]-0.209142[/C][C]-1.62[/C][C]0.055237[/C][/ROW]
[ROW][C]55[/C][C]-0.176225[/C][C]-1.365[/C][C]0.08867[/C][/ROW]
[ROW][C]56[/C][C]-0.143307[/C][C]-1.11[/C][C]0.135704[/C][/ROW]
[ROW][C]57[/C][C]-0.10748[/C][C]-0.8325[/C][C]0.204204[/C][/ROW]
[ROW][C]58[/C][C]-0.071653[/C][C]-0.555[/C][C]0.290471[/C][/ROW]
[ROW][C]59[/C][C]-0.035827[/C][C]-0.2775[/C][C]0.39117[/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=65840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65840&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
10.9472117.33710
20.8899166.89330
30.8320216.44480
40.7732245.98940
50.7175265.55790
60.6582235.09862e-06
70.5982254.63381e-05
80.5489614.25223.8e-05
90.4963923.8450.000147
100.4472233.46420.000494
110.3977533.0810.001556
120.3486792.70090.004488
130.3006012.32840.011638
140.2519231.95140.027842
150.200241.55110.063074
160.1522571.17940.121451
170.1042750.80770.211225
180.0599920.46470.321916
190.0191080.1480.441415
20-0.024479-0.18960.425127
21-0.068066-0.52720.299988
22-0.111653-0.86490.195281
23-0.15154-1.17380.122553
24-0.158128-1.22490.112708
25-0.164717-1.27590.103455
26-0.171306-1.32690.09478
27-0.177894-1.3780.086666
28-0.184483-1.4290.079095
29-0.191072-1.480.072048
30-0.19766-1.53110.065504
31-0.215063-1.66590.050476
32-0.236371-1.83090.036039
33-0.257979-1.99830.025111
34-0.279588-2.16570.017161
35-0.301196-2.33310.011508
36-0.324006-2.50970.007399
37-0.348318-2.69810.004522
38-0.346751-2.68590.004671
39-0.343476-2.66060.004996
40-0.340503-2.63750.00531
41-0.337529-2.61450.005641
42-0.335757-2.60080.005848
43-0.332578-2.57610.006235
44-0.32679-2.53130.007001
45-0.322204-2.49580.007667
46-0.31501-2.44010.008828
47-0.307816-2.38430.010145
48-0.300621-2.32860.011634
49-0.290518-2.25030.014053
50-0.278708-2.15890.017435
51-0.267198-2.06970.021397
52-0.252779-1.9580.027441
53-0.23836-1.84630.034889
54-0.209142-1.620.055237
55-0.176225-1.3650.08867
56-0.143307-1.110.135704
57-0.10748-0.83250.204204
58-0.071653-0.5550.290471
59-0.035827-0.27750.39117
60NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9472117.33710
2-0.070945-0.54950.292337
3-0.03442-0.26660.395341
4-0.040033-0.31010.378781
5-0.002078-0.01610.493606
6-0.070172-0.54360.294382
7-0.039873-0.30890.379251
80.0685440.53090.29871
9-0.072054-0.55810.289417
10-0.001621-0.01260.495012
11-0.040693-0.31520.376849
12-0.024561-0.19020.424879
13-0.037411-0.28980.38649
14-0.041371-0.32050.374866
15-0.0604-0.46790.32079
16-0.01095-0.08480.466344
17-0.037162-0.28790.387226
18-0.010848-0.0840.466656
19-0.01062-0.08230.467356
20-0.06868-0.5320.298347
21-0.046728-0.3620.359329
22-0.052043-0.40310.344145
23-0.004943-0.03830.484793
240.2773562.14840.017864
25-0.04622-0.3580.360792
26-0.027012-0.20920.417486
27-0.037089-0.28730.387439
28-0.010218-0.07910.468589
29-0.054265-0.42030.337872
30-0.025111-0.19450.423217
31-0.08186-0.63410.264219
32-0.095676-0.74110.230761
33-0.020671-0.16010.436664
34-0.042725-0.33090.370918
35-0.0387-0.29980.382696
36-0.059292-0.45930.32385
37-0.067794-0.52510.300714
380.2079351.61070.056252
39-0.018454-0.14290.443408
40-0.028255-0.21890.41375
41-0.018945-0.14670.441913
42-0.01657-0.12840.44915
43-0.053918-0.41760.338849
44-0.012278-0.09510.462274
45-0.00112-0.00870.496555
46-0.007327-0.05680.477465
470.089170.69070.246207
48-0.047973-0.37160.35575
490.0049590.03840.484744
50-0.008059-0.06240.475216
51-0.0263-0.20370.419633
520.003030.02350.490675
53-0.009186-0.07120.471755
540.1164290.90190.185369
55-0.00523-0.04050.48391
560.0189520.14680.441892
570.0064930.05030.480026
58-0.00315-0.02440.490308
59-0.020626-0.15980.4368
60NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.947211 & 7.3371 & 0 \tabularnewline
2 & -0.070945 & -0.5495 & 0.292337 \tabularnewline
3 & -0.03442 & -0.2666 & 0.395341 \tabularnewline
4 & -0.040033 & -0.3101 & 0.378781 \tabularnewline
5 & -0.002078 & -0.0161 & 0.493606 \tabularnewline
6 & -0.070172 & -0.5436 & 0.294382 \tabularnewline
7 & -0.039873 & -0.3089 & 0.379251 \tabularnewline
8 & 0.068544 & 0.5309 & 0.29871 \tabularnewline
9 & -0.072054 & -0.5581 & 0.289417 \tabularnewline
10 & -0.001621 & -0.0126 & 0.495012 \tabularnewline
11 & -0.040693 & -0.3152 & 0.376849 \tabularnewline
12 & -0.024561 & -0.1902 & 0.424879 \tabularnewline
13 & -0.037411 & -0.2898 & 0.38649 \tabularnewline
14 & -0.041371 & -0.3205 & 0.374866 \tabularnewline
15 & -0.0604 & -0.4679 & 0.32079 \tabularnewline
16 & -0.01095 & -0.0848 & 0.466344 \tabularnewline
17 & -0.037162 & -0.2879 & 0.387226 \tabularnewline
18 & -0.010848 & -0.084 & 0.466656 \tabularnewline
19 & -0.01062 & -0.0823 & 0.467356 \tabularnewline
20 & -0.06868 & -0.532 & 0.298347 \tabularnewline
21 & -0.046728 & -0.362 & 0.359329 \tabularnewline
22 & -0.052043 & -0.4031 & 0.344145 \tabularnewline
23 & -0.004943 & -0.0383 & 0.484793 \tabularnewline
24 & 0.277356 & 2.1484 & 0.017864 \tabularnewline
25 & -0.04622 & -0.358 & 0.360792 \tabularnewline
26 & -0.027012 & -0.2092 & 0.417486 \tabularnewline
27 & -0.037089 & -0.2873 & 0.387439 \tabularnewline
28 & -0.010218 & -0.0791 & 0.468589 \tabularnewline
29 & -0.054265 & -0.4203 & 0.337872 \tabularnewline
30 & -0.025111 & -0.1945 & 0.423217 \tabularnewline
31 & -0.08186 & -0.6341 & 0.264219 \tabularnewline
32 & -0.095676 & -0.7411 & 0.230761 \tabularnewline
33 & -0.020671 & -0.1601 & 0.436664 \tabularnewline
34 & -0.042725 & -0.3309 & 0.370918 \tabularnewline
35 & -0.0387 & -0.2998 & 0.382696 \tabularnewline
36 & -0.059292 & -0.4593 & 0.32385 \tabularnewline
37 & -0.067794 & -0.5251 & 0.300714 \tabularnewline
38 & 0.207935 & 1.6107 & 0.056252 \tabularnewline
39 & -0.018454 & -0.1429 & 0.443408 \tabularnewline
40 & -0.028255 & -0.2189 & 0.41375 \tabularnewline
41 & -0.018945 & -0.1467 & 0.441913 \tabularnewline
42 & -0.01657 & -0.1284 & 0.44915 \tabularnewline
43 & -0.053918 & -0.4176 & 0.338849 \tabularnewline
44 & -0.012278 & -0.0951 & 0.462274 \tabularnewline
45 & -0.00112 & -0.0087 & 0.496555 \tabularnewline
46 & -0.007327 & -0.0568 & 0.477465 \tabularnewline
47 & 0.08917 & 0.6907 & 0.246207 \tabularnewline
48 & -0.047973 & -0.3716 & 0.35575 \tabularnewline
49 & 0.004959 & 0.0384 & 0.484744 \tabularnewline
50 & -0.008059 & -0.0624 & 0.475216 \tabularnewline
51 & -0.0263 & -0.2037 & 0.419633 \tabularnewline
52 & 0.00303 & 0.0235 & 0.490675 \tabularnewline
53 & -0.009186 & -0.0712 & 0.471755 \tabularnewline
54 & 0.116429 & 0.9019 & 0.185369 \tabularnewline
55 & -0.00523 & -0.0405 & 0.48391 \tabularnewline
56 & 0.018952 & 0.1468 & 0.441892 \tabularnewline
57 & 0.006493 & 0.0503 & 0.480026 \tabularnewline
58 & -0.00315 & -0.0244 & 0.490308 \tabularnewline
59 & -0.020626 & -0.1598 & 0.4368 \tabularnewline
60 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=65840&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]0.947211[/C][C]7.3371[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.070945[/C][C]-0.5495[/C][C]0.292337[/C][/ROW]
[ROW][C]3[/C][C]-0.03442[/C][C]-0.2666[/C][C]0.395341[/C][/ROW]
[ROW][C]4[/C][C]-0.040033[/C][C]-0.3101[/C][C]0.378781[/C][/ROW]
[ROW][C]5[/C][C]-0.002078[/C][C]-0.0161[/C][C]0.493606[/C][/ROW]
[ROW][C]6[/C][C]-0.070172[/C][C]-0.5436[/C][C]0.294382[/C][/ROW]
[ROW][C]7[/C][C]-0.039873[/C][C]-0.3089[/C][C]0.379251[/C][/ROW]
[ROW][C]8[/C][C]0.068544[/C][C]0.5309[/C][C]0.29871[/C][/ROW]
[ROW][C]9[/C][C]-0.072054[/C][C]-0.5581[/C][C]0.289417[/C][/ROW]
[ROW][C]10[/C][C]-0.001621[/C][C]-0.0126[/C][C]0.495012[/C][/ROW]
[ROW][C]11[/C][C]-0.040693[/C][C]-0.3152[/C][C]0.376849[/C][/ROW]
[ROW][C]12[/C][C]-0.024561[/C][C]-0.1902[/C][C]0.424879[/C][/ROW]
[ROW][C]13[/C][C]-0.037411[/C][C]-0.2898[/C][C]0.38649[/C][/ROW]
[ROW][C]14[/C][C]-0.041371[/C][C]-0.3205[/C][C]0.374866[/C][/ROW]
[ROW][C]15[/C][C]-0.0604[/C][C]-0.4679[/C][C]0.32079[/C][/ROW]
[ROW][C]16[/C][C]-0.01095[/C][C]-0.0848[/C][C]0.466344[/C][/ROW]
[ROW][C]17[/C][C]-0.037162[/C][C]-0.2879[/C][C]0.387226[/C][/ROW]
[ROW][C]18[/C][C]-0.010848[/C][C]-0.084[/C][C]0.466656[/C][/ROW]
[ROW][C]19[/C][C]-0.01062[/C][C]-0.0823[/C][C]0.467356[/C][/ROW]
[ROW][C]20[/C][C]-0.06868[/C][C]-0.532[/C][C]0.298347[/C][/ROW]
[ROW][C]21[/C][C]-0.046728[/C][C]-0.362[/C][C]0.359329[/C][/ROW]
[ROW][C]22[/C][C]-0.052043[/C][C]-0.4031[/C][C]0.344145[/C][/ROW]
[ROW][C]23[/C][C]-0.004943[/C][C]-0.0383[/C][C]0.484793[/C][/ROW]
[ROW][C]24[/C][C]0.277356[/C][C]2.1484[/C][C]0.017864[/C][/ROW]
[ROW][C]25[/C][C]-0.04622[/C][C]-0.358[/C][C]0.360792[/C][/ROW]
[ROW][C]26[/C][C]-0.027012[/C][C]-0.2092[/C][C]0.417486[/C][/ROW]
[ROW][C]27[/C][C]-0.037089[/C][C]-0.2873[/C][C]0.387439[/C][/ROW]
[ROW][C]28[/C][C]-0.010218[/C][C]-0.0791[/C][C]0.468589[/C][/ROW]
[ROW][C]29[/C][C]-0.054265[/C][C]-0.4203[/C][C]0.337872[/C][/ROW]
[ROW][C]30[/C][C]-0.025111[/C][C]-0.1945[/C][C]0.423217[/C][/ROW]
[ROW][C]31[/C][C]-0.08186[/C][C]-0.6341[/C][C]0.264219[/C][/ROW]
[ROW][C]32[/C][C]-0.095676[/C][C]-0.7411[/C][C]0.230761[/C][/ROW]
[ROW][C]33[/C][C]-0.020671[/C][C]-0.1601[/C][C]0.436664[/C][/ROW]
[ROW][C]34[/C][C]-0.042725[/C][C]-0.3309[/C][C]0.370918[/C][/ROW]
[ROW][C]35[/C][C]-0.0387[/C][C]-0.2998[/C][C]0.382696[/C][/ROW]
[ROW][C]36[/C][C]-0.059292[/C][C]-0.4593[/C][C]0.32385[/C][/ROW]
[ROW][C]37[/C][C]-0.067794[/C][C]-0.5251[/C][C]0.300714[/C][/ROW]
[ROW][C]38[/C][C]0.207935[/C][C]1.6107[/C][C]0.056252[/C][/ROW]
[ROW][C]39[/C][C]-0.018454[/C][C]-0.1429[/C][C]0.443408[/C][/ROW]
[ROW][C]40[/C][C]-0.028255[/C][C]-0.2189[/C][C]0.41375[/C][/ROW]
[ROW][C]41[/C][C]-0.018945[/C][C]-0.1467[/C][C]0.441913[/C][/ROW]
[ROW][C]42[/C][C]-0.01657[/C][C]-0.1284[/C][C]0.44915[/C][/ROW]
[ROW][C]43[/C][C]-0.053918[/C][C]-0.4176[/C][C]0.338849[/C][/ROW]
[ROW][C]44[/C][C]-0.012278[/C][C]-0.0951[/C][C]0.462274[/C][/ROW]
[ROW][C]45[/C][C]-0.00112[/C][C]-0.0087[/C][C]0.496555[/C][/ROW]
[ROW][C]46[/C][C]-0.007327[/C][C]-0.0568[/C][C]0.477465[/C][/ROW]
[ROW][C]47[/C][C]0.08917[/C][C]0.6907[/C][C]0.246207[/C][/ROW]
[ROW][C]48[/C][C]-0.047973[/C][C]-0.3716[/C][C]0.35575[/C][/ROW]
[ROW][C]49[/C][C]0.004959[/C][C]0.0384[/C][C]0.484744[/C][/ROW]
[ROW][C]50[/C][C]-0.008059[/C][C]-0.0624[/C][C]0.475216[/C][/ROW]
[ROW][C]51[/C][C]-0.0263[/C][C]-0.2037[/C][C]0.419633[/C][/ROW]
[ROW][C]52[/C][C]0.00303[/C][C]0.0235[/C][C]0.490675[/C][/ROW]
[ROW][C]53[/C][C]-0.009186[/C][C]-0.0712[/C][C]0.471755[/C][/ROW]
[ROW][C]54[/C][C]0.116429[/C][C]0.9019[/C][C]0.185369[/C][/ROW]
[ROW][C]55[/C][C]-0.00523[/C][C]-0.0405[/C][C]0.48391[/C][/ROW]
[ROW][C]56[/C][C]0.018952[/C][C]0.1468[/C][C]0.441892[/C][/ROW]
[ROW][C]57[/C][C]0.006493[/C][C]0.0503[/C][C]0.480026[/C][/ROW]
[ROW][C]58[/C][C]-0.00315[/C][C]-0.0244[/C][C]0.490308[/C][/ROW]
[ROW][C]59[/C][C]-0.020626[/C][C]-0.1598[/C][C]0.4368[/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=65840&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=65840&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
10.9472117.33710
2-0.070945-0.54950.292337
3-0.03442-0.26660.395341
4-0.040033-0.31010.378781
5-0.002078-0.01610.493606
6-0.070172-0.54360.294382
7-0.039873-0.30890.379251
80.0685440.53090.29871
9-0.072054-0.55810.289417
10-0.001621-0.01260.495012
11-0.040693-0.31520.376849
12-0.024561-0.19020.424879
13-0.037411-0.28980.38649
14-0.041371-0.32050.374866
15-0.0604-0.46790.32079
16-0.01095-0.08480.466344
17-0.037162-0.28790.387226
18-0.010848-0.0840.466656
19-0.01062-0.08230.467356
20-0.06868-0.5320.298347
21-0.046728-0.3620.359329
22-0.052043-0.40310.344145
23-0.004943-0.03830.484793
240.2773562.14840.017864
25-0.04622-0.3580.360792
26-0.027012-0.20920.417486
27-0.037089-0.28730.387439
28-0.010218-0.07910.468589
29-0.054265-0.42030.337872
30-0.025111-0.19450.423217
31-0.08186-0.63410.264219
32-0.095676-0.74110.230761
33-0.020671-0.16010.436664
34-0.042725-0.33090.370918
35-0.0387-0.29980.382696
36-0.059292-0.45930.32385
37-0.067794-0.52510.300714
380.2079351.61070.056252
39-0.018454-0.14290.443408
40-0.028255-0.21890.41375
41-0.018945-0.14670.441913
42-0.01657-0.12840.44915
43-0.053918-0.41760.338849
44-0.012278-0.09510.462274
45-0.00112-0.00870.496555
46-0.007327-0.05680.477465
470.089170.69070.246207
48-0.047973-0.37160.35575
490.0049590.03840.484744
50-0.008059-0.06240.475216
51-0.0263-0.20370.419633
520.003030.02350.490675
53-0.009186-0.07120.471755
540.1164290.90190.185369
55-0.00523-0.04050.48391
560.0189520.14680.441892
570.0064930.05030.480026
58-0.00315-0.02440.490308
59-0.020626-0.15980.4368
60NANANA



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')