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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 16 Mar 2017 10:27:21 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/16/t1489660057bl5i9137we6qd8l.htm/, Retrieved Wed, 15 May 2024 00:31:23 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 00:31:23 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
78,46
78,59
81,37
83,61
83,85
84,08
84,56
84,65
85,41
85,75
86,21
86,38
86,65
87,30
87,87
88,23
88,33
88,62
88,67
88,85
88,87
89,20
89,38
89,65
90,37
90,38
91,43
92,09
92,21
92,31
92,62
93,13
93,17
93,42
93,50
95,75
97,29
98,01
98,02
98,20
98,29
98,39
98,42
98,70
98,90
99,04
99,31
99,34
99,35
99,51
99,88
99,91
100,30
100,74
101,16
101,30
101,37
101,68
101,68
101,89
101,93
102,66
102,68
103,13
103,14
104,01
104,17
104,41
104,71
105,51
105,98
106,25

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' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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' @ jenkins.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3106132.61730.005412
2-0.011161-0.0940.462671
3-0.094624-0.79730.213962
40.0199250.16790.433574
5-0.03141-0.26470.396016
6-0.013688-0.11530.454253
7-0.05324-0.44860.327539
80.0011660.00980.496093
90.0656460.55310.290951
100.0127390.10730.457409
110.0933190.78630.217148
12-0.011513-0.0970.461495
13-0.037295-0.31420.377127
14-0.077671-0.65450.257463
15-0.078087-0.6580.256341
16-0.091762-0.77320.220985
17-0.069854-0.58860.278999
18-0.028192-0.23750.406458
19-0.055139-0.46460.321815
20-0.079109-0.66660.253599
21-0.00656-0.05530.478038
220.0417570.35180.362998
23-0.007253-0.06110.47572
240.0826770.69660.244149
25-0.021081-0.17760.429758
26-0.011699-0.09860.460876
27-0.028664-0.24150.404922
280.0218240.18390.42731
29-0.019484-0.16420.43503
30-0.017629-0.14850.441169
31-0.096581-0.81380.209239
320.1158280.9760.166193
330.3779783.18490.001076
340.2050711.7280.044171
350.0138980.11710.453554
36-0.096676-0.81460.209011
37-0.032069-0.27020.393889
38-0.050783-0.42790.335008
39-0.02756-0.23220.408516
40-0.054228-0.45690.324556
41-0.021403-0.18030.428696
42-0.027935-0.23540.407295
43-0.030873-0.26010.397754
44-0.026106-0.220.413263
45-0.089526-0.75440.226563
46-0.052715-0.44420.329131
47-0.032226-0.27150.393382
48-0.02395-0.20180.420321

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.310613 & 2.6173 & 0.005412 \tabularnewline
2 & -0.011161 & -0.094 & 0.462671 \tabularnewline
3 & -0.094624 & -0.7973 & 0.213962 \tabularnewline
4 & 0.019925 & 0.1679 & 0.433574 \tabularnewline
5 & -0.03141 & -0.2647 & 0.396016 \tabularnewline
6 & -0.013688 & -0.1153 & 0.454253 \tabularnewline
7 & -0.05324 & -0.4486 & 0.327539 \tabularnewline
8 & 0.001166 & 0.0098 & 0.496093 \tabularnewline
9 & 0.065646 & 0.5531 & 0.290951 \tabularnewline
10 & 0.012739 & 0.1073 & 0.457409 \tabularnewline
11 & 0.093319 & 0.7863 & 0.217148 \tabularnewline
12 & -0.011513 & -0.097 & 0.461495 \tabularnewline
13 & -0.037295 & -0.3142 & 0.377127 \tabularnewline
14 & -0.077671 & -0.6545 & 0.257463 \tabularnewline
15 & -0.078087 & -0.658 & 0.256341 \tabularnewline
16 & -0.091762 & -0.7732 & 0.220985 \tabularnewline
17 & -0.069854 & -0.5886 & 0.278999 \tabularnewline
18 & -0.028192 & -0.2375 & 0.406458 \tabularnewline
19 & -0.055139 & -0.4646 & 0.321815 \tabularnewline
20 & -0.079109 & -0.6666 & 0.253599 \tabularnewline
21 & -0.00656 & -0.0553 & 0.478038 \tabularnewline
22 & 0.041757 & 0.3518 & 0.362998 \tabularnewline
23 & -0.007253 & -0.0611 & 0.47572 \tabularnewline
24 & 0.082677 & 0.6966 & 0.244149 \tabularnewline
25 & -0.021081 & -0.1776 & 0.429758 \tabularnewline
26 & -0.011699 & -0.0986 & 0.460876 \tabularnewline
27 & -0.028664 & -0.2415 & 0.404922 \tabularnewline
28 & 0.021824 & 0.1839 & 0.42731 \tabularnewline
29 & -0.019484 & -0.1642 & 0.43503 \tabularnewline
30 & -0.017629 & -0.1485 & 0.441169 \tabularnewline
31 & -0.096581 & -0.8138 & 0.209239 \tabularnewline
32 & 0.115828 & 0.976 & 0.166193 \tabularnewline
33 & 0.377978 & 3.1849 & 0.001076 \tabularnewline
34 & 0.205071 & 1.728 & 0.044171 \tabularnewline
35 & 0.013898 & 0.1171 & 0.453554 \tabularnewline
36 & -0.096676 & -0.8146 & 0.209011 \tabularnewline
37 & -0.032069 & -0.2702 & 0.393889 \tabularnewline
38 & -0.050783 & -0.4279 & 0.335008 \tabularnewline
39 & -0.02756 & -0.2322 & 0.408516 \tabularnewline
40 & -0.054228 & -0.4569 & 0.324556 \tabularnewline
41 & -0.021403 & -0.1803 & 0.428696 \tabularnewline
42 & -0.027935 & -0.2354 & 0.407295 \tabularnewline
43 & -0.030873 & -0.2601 & 0.397754 \tabularnewline
44 & -0.026106 & -0.22 & 0.413263 \tabularnewline
45 & -0.089526 & -0.7544 & 0.226563 \tabularnewline
46 & -0.052715 & -0.4442 & 0.329131 \tabularnewline
47 & -0.032226 & -0.2715 & 0.393382 \tabularnewline
48 & -0.02395 & -0.2018 & 0.420321 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.310613[/C][C]2.6173[/C][C]0.005412[/C][/ROW]
[ROW][C]2[/C][C]-0.011161[/C][C]-0.094[/C][C]0.462671[/C][/ROW]
[ROW][C]3[/C][C]-0.094624[/C][C]-0.7973[/C][C]0.213962[/C][/ROW]
[ROW][C]4[/C][C]0.019925[/C][C]0.1679[/C][C]0.433574[/C][/ROW]
[ROW][C]5[/C][C]-0.03141[/C][C]-0.2647[/C][C]0.396016[/C][/ROW]
[ROW][C]6[/C][C]-0.013688[/C][C]-0.1153[/C][C]0.454253[/C][/ROW]
[ROW][C]7[/C][C]-0.05324[/C][C]-0.4486[/C][C]0.327539[/C][/ROW]
[ROW][C]8[/C][C]0.001166[/C][C]0.0098[/C][C]0.496093[/C][/ROW]
[ROW][C]9[/C][C]0.065646[/C][C]0.5531[/C][C]0.290951[/C][/ROW]
[ROW][C]10[/C][C]0.012739[/C][C]0.1073[/C][C]0.457409[/C][/ROW]
[ROW][C]11[/C][C]0.093319[/C][C]0.7863[/C][C]0.217148[/C][/ROW]
[ROW][C]12[/C][C]-0.011513[/C][C]-0.097[/C][C]0.461495[/C][/ROW]
[ROW][C]13[/C][C]-0.037295[/C][C]-0.3142[/C][C]0.377127[/C][/ROW]
[ROW][C]14[/C][C]-0.077671[/C][C]-0.6545[/C][C]0.257463[/C][/ROW]
[ROW][C]15[/C][C]-0.078087[/C][C]-0.658[/C][C]0.256341[/C][/ROW]
[ROW][C]16[/C][C]-0.091762[/C][C]-0.7732[/C][C]0.220985[/C][/ROW]
[ROW][C]17[/C][C]-0.069854[/C][C]-0.5886[/C][C]0.278999[/C][/ROW]
[ROW][C]18[/C][C]-0.028192[/C][C]-0.2375[/C][C]0.406458[/C][/ROW]
[ROW][C]19[/C][C]-0.055139[/C][C]-0.4646[/C][C]0.321815[/C][/ROW]
[ROW][C]20[/C][C]-0.079109[/C][C]-0.6666[/C][C]0.253599[/C][/ROW]
[ROW][C]21[/C][C]-0.00656[/C][C]-0.0553[/C][C]0.478038[/C][/ROW]
[ROW][C]22[/C][C]0.041757[/C][C]0.3518[/C][C]0.362998[/C][/ROW]
[ROW][C]23[/C][C]-0.007253[/C][C]-0.0611[/C][C]0.47572[/C][/ROW]
[ROW][C]24[/C][C]0.082677[/C][C]0.6966[/C][C]0.244149[/C][/ROW]
[ROW][C]25[/C][C]-0.021081[/C][C]-0.1776[/C][C]0.429758[/C][/ROW]
[ROW][C]26[/C][C]-0.011699[/C][C]-0.0986[/C][C]0.460876[/C][/ROW]
[ROW][C]27[/C][C]-0.028664[/C][C]-0.2415[/C][C]0.404922[/C][/ROW]
[ROW][C]28[/C][C]0.021824[/C][C]0.1839[/C][C]0.42731[/C][/ROW]
[ROW][C]29[/C][C]-0.019484[/C][C]-0.1642[/C][C]0.43503[/C][/ROW]
[ROW][C]30[/C][C]-0.017629[/C][C]-0.1485[/C][C]0.441169[/C][/ROW]
[ROW][C]31[/C][C]-0.096581[/C][C]-0.8138[/C][C]0.209239[/C][/ROW]
[ROW][C]32[/C][C]0.115828[/C][C]0.976[/C][C]0.166193[/C][/ROW]
[ROW][C]33[/C][C]0.377978[/C][C]3.1849[/C][C]0.001076[/C][/ROW]
[ROW][C]34[/C][C]0.205071[/C][C]1.728[/C][C]0.044171[/C][/ROW]
[ROW][C]35[/C][C]0.013898[/C][C]0.1171[/C][C]0.453554[/C][/ROW]
[ROW][C]36[/C][C]-0.096676[/C][C]-0.8146[/C][C]0.209011[/C][/ROW]
[ROW][C]37[/C][C]-0.032069[/C][C]-0.2702[/C][C]0.393889[/C][/ROW]
[ROW][C]38[/C][C]-0.050783[/C][C]-0.4279[/C][C]0.335008[/C][/ROW]
[ROW][C]39[/C][C]-0.02756[/C][C]-0.2322[/C][C]0.408516[/C][/ROW]
[ROW][C]40[/C][C]-0.054228[/C][C]-0.4569[/C][C]0.324556[/C][/ROW]
[ROW][C]41[/C][C]-0.021403[/C][C]-0.1803[/C][C]0.428696[/C][/ROW]
[ROW][C]42[/C][C]-0.027935[/C][C]-0.2354[/C][C]0.407295[/C][/ROW]
[ROW][C]43[/C][C]-0.030873[/C][C]-0.2601[/C][C]0.397754[/C][/ROW]
[ROW][C]44[/C][C]-0.026106[/C][C]-0.22[/C][C]0.413263[/C][/ROW]
[ROW][C]45[/C][C]-0.089526[/C][C]-0.7544[/C][C]0.226563[/C][/ROW]
[ROW][C]46[/C][C]-0.052715[/C][C]-0.4442[/C][C]0.329131[/C][/ROW]
[ROW][C]47[/C][C]-0.032226[/C][C]-0.2715[/C][C]0.393382[/C][/ROW]
[ROW][C]48[/C][C]-0.02395[/C][C]-0.2018[/C][C]0.420321[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
10.3106132.61730.005412
2-0.011161-0.0940.462671
3-0.094624-0.79730.213962
40.0199250.16790.433574
5-0.03141-0.26470.396016
6-0.013688-0.11530.454253
7-0.05324-0.44860.327539
80.0011660.00980.496093
90.0656460.55310.290951
100.0127390.10730.457409
110.0933190.78630.217148
12-0.011513-0.0970.461495
13-0.037295-0.31420.377127
14-0.077671-0.65450.257463
15-0.078087-0.6580.256341
16-0.091762-0.77320.220985
17-0.069854-0.58860.278999
18-0.028192-0.23750.406458
19-0.055139-0.46460.321815
20-0.079109-0.66660.253599
21-0.00656-0.05530.478038
220.0417570.35180.362998
23-0.007253-0.06110.47572
240.0826770.69660.244149
25-0.021081-0.17760.429758
26-0.011699-0.09860.460876
27-0.028664-0.24150.404922
280.0218240.18390.42731
29-0.019484-0.16420.43503
30-0.017629-0.14850.441169
31-0.096581-0.81380.209239
320.1158280.9760.166193
330.3779783.18490.001076
340.2050711.7280.044171
350.0138980.11710.453554
36-0.096676-0.81460.209011
37-0.032069-0.27020.393889
38-0.050783-0.42790.335008
39-0.02756-0.23220.408516
40-0.054228-0.45690.324556
41-0.021403-0.18030.428696
42-0.027935-0.23540.407295
43-0.030873-0.26010.397754
44-0.026106-0.220.413263
45-0.089526-0.75440.226563
46-0.052715-0.44420.329131
47-0.032226-0.27150.393382
48-0.02395-0.20180.420321






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3106132.61730.005412
2-0.119136-1.00390.159429
3-0.060334-0.50840.306379
40.0786330.66260.254875
5-0.081911-0.69020.246161
60.0193980.16350.435314
7-0.052996-0.44660.328277
80.0249510.21020.417041
90.0674810.56860.285708
10-0.050307-0.42390.336463
110.1372471.15650.125684
12-0.094289-0.79450.214778
13-0.007004-0.0590.476553
14-0.039395-0.3320.370452
15-0.082533-0.69540.244527
16-0.02575-0.2170.414427
17-0.067411-0.5680.285909
180.0114440.09640.461724
19-0.076281-0.64280.261227
20-0.080866-0.68140.248921
210.0648190.54620.29333
22-0.026243-0.22110.412814
23-0.013034-0.10980.456428
240.1306061.10050.137414
25-0.110499-0.93110.177483
260.0620290.52270.301417
27-0.035721-0.3010.382149
280.0288420.2430.404342
29-0.016155-0.13610.446054
30-0.054366-0.45810.324142
31-0.055051-0.46390.322081
320.1612541.35880.089263
330.3027062.55060.006455
34-0.023765-0.20020.420931
35-0.027942-0.23540.40727
36-0.037375-0.31490.376871
37-0.027963-0.23560.407203
38-0.020489-0.17260.431712
39-0.019409-0.16350.435277
400.0047460.040.484106
41-0.035148-0.29620.383986
42-0.054245-0.45710.324505
43-0.042856-0.36110.359545
44-0.077666-0.65440.257477
45-0.097969-0.82550.205927
460.0105920.08920.464569
470.0348170.29340.385046
48-0.005649-0.04760.481086

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.310613 & 2.6173 & 0.005412 \tabularnewline
2 & -0.119136 & -1.0039 & 0.159429 \tabularnewline
3 & -0.060334 & -0.5084 & 0.306379 \tabularnewline
4 & 0.078633 & 0.6626 & 0.254875 \tabularnewline
5 & -0.081911 & -0.6902 & 0.246161 \tabularnewline
6 & 0.019398 & 0.1635 & 0.435314 \tabularnewline
7 & -0.052996 & -0.4466 & 0.328277 \tabularnewline
8 & 0.024951 & 0.2102 & 0.417041 \tabularnewline
9 & 0.067481 & 0.5686 & 0.285708 \tabularnewline
10 & -0.050307 & -0.4239 & 0.336463 \tabularnewline
11 & 0.137247 & 1.1565 & 0.125684 \tabularnewline
12 & -0.094289 & -0.7945 & 0.214778 \tabularnewline
13 & -0.007004 & -0.059 & 0.476553 \tabularnewline
14 & -0.039395 & -0.332 & 0.370452 \tabularnewline
15 & -0.082533 & -0.6954 & 0.244527 \tabularnewline
16 & -0.02575 & -0.217 & 0.414427 \tabularnewline
17 & -0.067411 & -0.568 & 0.285909 \tabularnewline
18 & 0.011444 & 0.0964 & 0.461724 \tabularnewline
19 & -0.076281 & -0.6428 & 0.261227 \tabularnewline
20 & -0.080866 & -0.6814 & 0.248921 \tabularnewline
21 & 0.064819 & 0.5462 & 0.29333 \tabularnewline
22 & -0.026243 & -0.2211 & 0.412814 \tabularnewline
23 & -0.013034 & -0.1098 & 0.456428 \tabularnewline
24 & 0.130606 & 1.1005 & 0.137414 \tabularnewline
25 & -0.110499 & -0.9311 & 0.177483 \tabularnewline
26 & 0.062029 & 0.5227 & 0.301417 \tabularnewline
27 & -0.035721 & -0.301 & 0.382149 \tabularnewline
28 & 0.028842 & 0.243 & 0.404342 \tabularnewline
29 & -0.016155 & -0.1361 & 0.446054 \tabularnewline
30 & -0.054366 & -0.4581 & 0.324142 \tabularnewline
31 & -0.055051 & -0.4639 & 0.322081 \tabularnewline
32 & 0.161254 & 1.3588 & 0.089263 \tabularnewline
33 & 0.302706 & 2.5506 & 0.006455 \tabularnewline
34 & -0.023765 & -0.2002 & 0.420931 \tabularnewline
35 & -0.027942 & -0.2354 & 0.40727 \tabularnewline
36 & -0.037375 & -0.3149 & 0.376871 \tabularnewline
37 & -0.027963 & -0.2356 & 0.407203 \tabularnewline
38 & -0.020489 & -0.1726 & 0.431712 \tabularnewline
39 & -0.019409 & -0.1635 & 0.435277 \tabularnewline
40 & 0.004746 & 0.04 & 0.484106 \tabularnewline
41 & -0.035148 & -0.2962 & 0.383986 \tabularnewline
42 & -0.054245 & -0.4571 & 0.324505 \tabularnewline
43 & -0.042856 & -0.3611 & 0.359545 \tabularnewline
44 & -0.077666 & -0.6544 & 0.257477 \tabularnewline
45 & -0.097969 & -0.8255 & 0.205927 \tabularnewline
46 & 0.010592 & 0.0892 & 0.464569 \tabularnewline
47 & 0.034817 & 0.2934 & 0.385046 \tabularnewline
48 & -0.005649 & -0.0476 & 0.481086 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0.310613[/C][C]2.6173[/C][C]0.005412[/C][/ROW]
[ROW][C]2[/C][C]-0.119136[/C][C]-1.0039[/C][C]0.159429[/C][/ROW]
[ROW][C]3[/C][C]-0.060334[/C][C]-0.5084[/C][C]0.306379[/C][/ROW]
[ROW][C]4[/C][C]0.078633[/C][C]0.6626[/C][C]0.254875[/C][/ROW]
[ROW][C]5[/C][C]-0.081911[/C][C]-0.6902[/C][C]0.246161[/C][/ROW]
[ROW][C]6[/C][C]0.019398[/C][C]0.1635[/C][C]0.435314[/C][/ROW]
[ROW][C]7[/C][C]-0.052996[/C][C]-0.4466[/C][C]0.328277[/C][/ROW]
[ROW][C]8[/C][C]0.024951[/C][C]0.2102[/C][C]0.417041[/C][/ROW]
[ROW][C]9[/C][C]0.067481[/C][C]0.5686[/C][C]0.285708[/C][/ROW]
[ROW][C]10[/C][C]-0.050307[/C][C]-0.4239[/C][C]0.336463[/C][/ROW]
[ROW][C]11[/C][C]0.137247[/C][C]1.1565[/C][C]0.125684[/C][/ROW]
[ROW][C]12[/C][C]-0.094289[/C][C]-0.7945[/C][C]0.214778[/C][/ROW]
[ROW][C]13[/C][C]-0.007004[/C][C]-0.059[/C][C]0.476553[/C][/ROW]
[ROW][C]14[/C][C]-0.039395[/C][C]-0.332[/C][C]0.370452[/C][/ROW]
[ROW][C]15[/C][C]-0.082533[/C][C]-0.6954[/C][C]0.244527[/C][/ROW]
[ROW][C]16[/C][C]-0.02575[/C][C]-0.217[/C][C]0.414427[/C][/ROW]
[ROW][C]17[/C][C]-0.067411[/C][C]-0.568[/C][C]0.285909[/C][/ROW]
[ROW][C]18[/C][C]0.011444[/C][C]0.0964[/C][C]0.461724[/C][/ROW]
[ROW][C]19[/C][C]-0.076281[/C][C]-0.6428[/C][C]0.261227[/C][/ROW]
[ROW][C]20[/C][C]-0.080866[/C][C]-0.6814[/C][C]0.248921[/C][/ROW]
[ROW][C]21[/C][C]0.064819[/C][C]0.5462[/C][C]0.29333[/C][/ROW]
[ROW][C]22[/C][C]-0.026243[/C][C]-0.2211[/C][C]0.412814[/C][/ROW]
[ROW][C]23[/C][C]-0.013034[/C][C]-0.1098[/C][C]0.456428[/C][/ROW]
[ROW][C]24[/C][C]0.130606[/C][C]1.1005[/C][C]0.137414[/C][/ROW]
[ROW][C]25[/C][C]-0.110499[/C][C]-0.9311[/C][C]0.177483[/C][/ROW]
[ROW][C]26[/C][C]0.062029[/C][C]0.5227[/C][C]0.301417[/C][/ROW]
[ROW][C]27[/C][C]-0.035721[/C][C]-0.301[/C][C]0.382149[/C][/ROW]
[ROW][C]28[/C][C]0.028842[/C][C]0.243[/C][C]0.404342[/C][/ROW]
[ROW][C]29[/C][C]-0.016155[/C][C]-0.1361[/C][C]0.446054[/C][/ROW]
[ROW][C]30[/C][C]-0.054366[/C][C]-0.4581[/C][C]0.324142[/C][/ROW]
[ROW][C]31[/C][C]-0.055051[/C][C]-0.4639[/C][C]0.322081[/C][/ROW]
[ROW][C]32[/C][C]0.161254[/C][C]1.3588[/C][C]0.089263[/C][/ROW]
[ROW][C]33[/C][C]0.302706[/C][C]2.5506[/C][C]0.006455[/C][/ROW]
[ROW][C]34[/C][C]-0.023765[/C][C]-0.2002[/C][C]0.420931[/C][/ROW]
[ROW][C]35[/C][C]-0.027942[/C][C]-0.2354[/C][C]0.40727[/C][/ROW]
[ROW][C]36[/C][C]-0.037375[/C][C]-0.3149[/C][C]0.376871[/C][/ROW]
[ROW][C]37[/C][C]-0.027963[/C][C]-0.2356[/C][C]0.407203[/C][/ROW]
[ROW][C]38[/C][C]-0.020489[/C][C]-0.1726[/C][C]0.431712[/C][/ROW]
[ROW][C]39[/C][C]-0.019409[/C][C]-0.1635[/C][C]0.435277[/C][/ROW]
[ROW][C]40[/C][C]0.004746[/C][C]0.04[/C][C]0.484106[/C][/ROW]
[ROW][C]41[/C][C]-0.035148[/C][C]-0.2962[/C][C]0.383986[/C][/ROW]
[ROW][C]42[/C][C]-0.054245[/C][C]-0.4571[/C][C]0.324505[/C][/ROW]
[ROW][C]43[/C][C]-0.042856[/C][C]-0.3611[/C][C]0.359545[/C][/ROW]
[ROW][C]44[/C][C]-0.077666[/C][C]-0.6544[/C][C]0.257477[/C][/ROW]
[ROW][C]45[/C][C]-0.097969[/C][C]-0.8255[/C][C]0.205927[/C][/ROW]
[ROW][C]46[/C][C]0.010592[/C][C]0.0892[/C][C]0.464569[/C][/ROW]
[ROW][C]47[/C][C]0.034817[/C][C]0.2934[/C][C]0.385046[/C][/ROW]
[ROW][C]48[/C][C]-0.005649[/C][C]-0.0476[/C][C]0.481086[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
10.3106132.61730.005412
2-0.119136-1.00390.159429
3-0.060334-0.50840.306379
40.0786330.66260.254875
5-0.081911-0.69020.246161
60.0193980.16350.435314
7-0.052996-0.44660.328277
80.0249510.21020.417041
90.0674810.56860.285708
10-0.050307-0.42390.336463
110.1372471.15650.125684
12-0.094289-0.79450.214778
13-0.007004-0.0590.476553
14-0.039395-0.3320.370452
15-0.082533-0.69540.244527
16-0.02575-0.2170.414427
17-0.067411-0.5680.285909
180.0114440.09640.461724
19-0.076281-0.64280.261227
20-0.080866-0.68140.248921
210.0648190.54620.29333
22-0.026243-0.22110.412814
23-0.013034-0.10980.456428
240.1306061.10050.137414
25-0.110499-0.93110.177483
260.0620290.52270.301417
27-0.035721-0.3010.382149
280.0288420.2430.404342
29-0.016155-0.13610.446054
30-0.054366-0.45810.324142
31-0.055051-0.46390.322081
320.1612541.35880.089263
330.3027062.55060.006455
34-0.023765-0.20020.420931
35-0.027942-0.23540.40727
36-0.037375-0.31490.376871
37-0.027963-0.23560.407203
38-0.020489-0.17260.431712
39-0.019409-0.16350.435277
400.0047460.040.484106
41-0.035148-0.29620.383986
42-0.054245-0.45710.324505
43-0.042856-0.36110.359545
44-0.077666-0.65440.257477
45-0.097969-0.82550.205927
460.0105920.08920.464569
470.0348170.29340.385046
48-0.005649-0.04760.481086


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')