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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 computationMon, 18 Mar 2013 17:23:02 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Mar/18/t1363641794r5q69k2hx45y5kr.htm/, Retrieved Sat, 27 Apr 2024 10:13:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207870, Retrieved Sat, 27 Apr 2024 10:13:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158

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] [gemiddelde consum...] [2013-03-18 21:23:02] [a5e81fc5b84eaf53b9dc73271fe36a59] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,26
1,26
1,28
1,34
1,39
1,47
1,57
1,63
1,72
1,43
1,35
1,41
1,44
1,43
1,43
1,42
1,45
1,51
1,48
1,48
1,45
1,38
1,46
1,45
1,41
1,45
1,47
1,47
1,53
1,56
1,66
1,79
1,78
1,46
1,41
1,43
1,43
1,45
1,35
1,35
1,29
1,29
1,26
1,3
1,3
1,16
1,24
1,15
1,21
1,22
1,17
1,13
1,15
1,2
1,23
1,25
1,38
1,28
1,26
1,25
1,26
1,28
1,31
1,22
1,23
1,36
1,54
1,58
1,44
1,29
1,28
1,23

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207870&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207870&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207870&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1380871.16350.124252
2-0.162281-1.36740.087905
3-0.205881-1.73480.04356
4-0.128383-1.08180.141506
50.0576060.48540.314445
60.0347970.29320.385109
7-0.064523-0.54370.294182
8-0.114498-0.96480.168965
90.0301140.25370.400213
100.0003490.00290.498831
110.0093870.07910.46859
120.202071.70270.046502
13-0.060184-0.50710.306821
140.0348470.29360.38495
15-0.101678-0.85680.197231
16-0.154811-1.30450.098144
170.0096850.08160.467595
180.0746830.62930.265589
19-0.014372-0.12110.451977
20-0.084951-0.71580.238228
21-0.122737-1.03420.152277
22-0.12297-1.03620.151821
230.0542230.45690.324572
240.3955513.3330.000684
250.0405860.3420.366685
26-0.01208-0.10180.459606
27-0.085236-0.71820.237491
28-0.108267-0.91230.182357
290.026430.22270.412203
300.0570050.48030.316234
310.0527510.44450.329022
32-0.152534-1.28530.101436
33-0.158672-1.3370.092747
34-0.038687-0.3260.372698
350.1444741.21740.113748
360.2218931.86970.032824
37-0.031927-0.2690.394347
380.0201610.16990.432793
39-0.079748-0.6720.251892
40-0.030007-0.25280.400561
41-0.022255-0.18750.425893
42-0.003686-0.03110.487654
43-0.030244-0.25480.399792
44-0.024087-0.2030.419874
45-0.015478-0.13040.448303
46-0.089672-0.75560.226197
47-0.069136-0.58250.281022
480.1359851.14580.127856

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.138087 & 1.1635 & 0.124252 \tabularnewline
2 & -0.162281 & -1.3674 & 0.087905 \tabularnewline
3 & -0.205881 & -1.7348 & 0.04356 \tabularnewline
4 & -0.128383 & -1.0818 & 0.141506 \tabularnewline
5 & 0.057606 & 0.4854 & 0.314445 \tabularnewline
6 & 0.034797 & 0.2932 & 0.385109 \tabularnewline
7 & -0.064523 & -0.5437 & 0.294182 \tabularnewline
8 & -0.114498 & -0.9648 & 0.168965 \tabularnewline
9 & 0.030114 & 0.2537 & 0.400213 \tabularnewline
10 & 0.000349 & 0.0029 & 0.498831 \tabularnewline
11 & 0.009387 & 0.0791 & 0.46859 \tabularnewline
12 & 0.20207 & 1.7027 & 0.046502 \tabularnewline
13 & -0.060184 & -0.5071 & 0.306821 \tabularnewline
14 & 0.034847 & 0.2936 & 0.38495 \tabularnewline
15 & -0.101678 & -0.8568 & 0.197231 \tabularnewline
16 & -0.154811 & -1.3045 & 0.098144 \tabularnewline
17 & 0.009685 & 0.0816 & 0.467595 \tabularnewline
18 & 0.074683 & 0.6293 & 0.265589 \tabularnewline
19 & -0.014372 & -0.1211 & 0.451977 \tabularnewline
20 & -0.084951 & -0.7158 & 0.238228 \tabularnewline
21 & -0.122737 & -1.0342 & 0.152277 \tabularnewline
22 & -0.12297 & -1.0362 & 0.151821 \tabularnewline
23 & 0.054223 & 0.4569 & 0.324572 \tabularnewline
24 & 0.395551 & 3.333 & 0.000684 \tabularnewline
25 & 0.040586 & 0.342 & 0.366685 \tabularnewline
26 & -0.01208 & -0.1018 & 0.459606 \tabularnewline
27 & -0.085236 & -0.7182 & 0.237491 \tabularnewline
28 & -0.108267 & -0.9123 & 0.182357 \tabularnewline
29 & 0.02643 & 0.2227 & 0.412203 \tabularnewline
30 & 0.057005 & 0.4803 & 0.316234 \tabularnewline
31 & 0.052751 & 0.4445 & 0.329022 \tabularnewline
32 & -0.152534 & -1.2853 & 0.101436 \tabularnewline
33 & -0.158672 & -1.337 & 0.092747 \tabularnewline
34 & -0.038687 & -0.326 & 0.372698 \tabularnewline
35 & 0.144474 & 1.2174 & 0.113748 \tabularnewline
36 & 0.221893 & 1.8697 & 0.032824 \tabularnewline
37 & -0.031927 & -0.269 & 0.394347 \tabularnewline
38 & 0.020161 & 0.1699 & 0.432793 \tabularnewline
39 & -0.079748 & -0.672 & 0.251892 \tabularnewline
40 & -0.030007 & -0.2528 & 0.400561 \tabularnewline
41 & -0.022255 & -0.1875 & 0.425893 \tabularnewline
42 & -0.003686 & -0.0311 & 0.487654 \tabularnewline
43 & -0.030244 & -0.2548 & 0.399792 \tabularnewline
44 & -0.024087 & -0.203 & 0.419874 \tabularnewline
45 & -0.015478 & -0.1304 & 0.448303 \tabularnewline
46 & -0.089672 & -0.7556 & 0.226197 \tabularnewline
47 & -0.069136 & -0.5825 & 0.281022 \tabularnewline
48 & 0.135985 & 1.1458 & 0.127856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207870&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]0.138087[/C][C]1.1635[/C][C]0.124252[/C][/ROW]
[ROW][C]2[/C][C]-0.162281[/C][C]-1.3674[/C][C]0.087905[/C][/ROW]
[ROW][C]3[/C][C]-0.205881[/C][C]-1.7348[/C][C]0.04356[/C][/ROW]
[ROW][C]4[/C][C]-0.128383[/C][C]-1.0818[/C][C]0.141506[/C][/ROW]
[ROW][C]5[/C][C]0.057606[/C][C]0.4854[/C][C]0.314445[/C][/ROW]
[ROW][C]6[/C][C]0.034797[/C][C]0.2932[/C][C]0.385109[/C][/ROW]
[ROW][C]7[/C][C]-0.064523[/C][C]-0.5437[/C][C]0.294182[/C][/ROW]
[ROW][C]8[/C][C]-0.114498[/C][C]-0.9648[/C][C]0.168965[/C][/ROW]
[ROW][C]9[/C][C]0.030114[/C][C]0.2537[/C][C]0.400213[/C][/ROW]
[ROW][C]10[/C][C]0.000349[/C][C]0.0029[/C][C]0.498831[/C][/ROW]
[ROW][C]11[/C][C]0.009387[/C][C]0.0791[/C][C]0.46859[/C][/ROW]
[ROW][C]12[/C][C]0.20207[/C][C]1.7027[/C][C]0.046502[/C][/ROW]
[ROW][C]13[/C][C]-0.060184[/C][C]-0.5071[/C][C]0.306821[/C][/ROW]
[ROW][C]14[/C][C]0.034847[/C][C]0.2936[/C][C]0.38495[/C][/ROW]
[ROW][C]15[/C][C]-0.101678[/C][C]-0.8568[/C][C]0.197231[/C][/ROW]
[ROW][C]16[/C][C]-0.154811[/C][C]-1.3045[/C][C]0.098144[/C][/ROW]
[ROW][C]17[/C][C]0.009685[/C][C]0.0816[/C][C]0.467595[/C][/ROW]
[ROW][C]18[/C][C]0.074683[/C][C]0.6293[/C][C]0.265589[/C][/ROW]
[ROW][C]19[/C][C]-0.014372[/C][C]-0.1211[/C][C]0.451977[/C][/ROW]
[ROW][C]20[/C][C]-0.084951[/C][C]-0.7158[/C][C]0.238228[/C][/ROW]
[ROW][C]21[/C][C]-0.122737[/C][C]-1.0342[/C][C]0.152277[/C][/ROW]
[ROW][C]22[/C][C]-0.12297[/C][C]-1.0362[/C][C]0.151821[/C][/ROW]
[ROW][C]23[/C][C]0.054223[/C][C]0.4569[/C][C]0.324572[/C][/ROW]
[ROW][C]24[/C][C]0.395551[/C][C]3.333[/C][C]0.000684[/C][/ROW]
[ROW][C]25[/C][C]0.040586[/C][C]0.342[/C][C]0.366685[/C][/ROW]
[ROW][C]26[/C][C]-0.01208[/C][C]-0.1018[/C][C]0.459606[/C][/ROW]
[ROW][C]27[/C][C]-0.085236[/C][C]-0.7182[/C][C]0.237491[/C][/ROW]
[ROW][C]28[/C][C]-0.108267[/C][C]-0.9123[/C][C]0.182357[/C][/ROW]
[ROW][C]29[/C][C]0.02643[/C][C]0.2227[/C][C]0.412203[/C][/ROW]
[ROW][C]30[/C][C]0.057005[/C][C]0.4803[/C][C]0.316234[/C][/ROW]
[ROW][C]31[/C][C]0.052751[/C][C]0.4445[/C][C]0.329022[/C][/ROW]
[ROW][C]32[/C][C]-0.152534[/C][C]-1.2853[/C][C]0.101436[/C][/ROW]
[ROW][C]33[/C][C]-0.158672[/C][C]-1.337[/C][C]0.092747[/C][/ROW]
[ROW][C]34[/C][C]-0.038687[/C][C]-0.326[/C][C]0.372698[/C][/ROW]
[ROW][C]35[/C][C]0.144474[/C][C]1.2174[/C][C]0.113748[/C][/ROW]
[ROW][C]36[/C][C]0.221893[/C][C]1.8697[/C][C]0.032824[/C][/ROW]
[ROW][C]37[/C][C]-0.031927[/C][C]-0.269[/C][C]0.394347[/C][/ROW]
[ROW][C]38[/C][C]0.020161[/C][C]0.1699[/C][C]0.432793[/C][/ROW]
[ROW][C]39[/C][C]-0.079748[/C][C]-0.672[/C][C]0.251892[/C][/ROW]
[ROW][C]40[/C][C]-0.030007[/C][C]-0.2528[/C][C]0.400561[/C][/ROW]
[ROW][C]41[/C][C]-0.022255[/C][C]-0.1875[/C][C]0.425893[/C][/ROW]
[ROW][C]42[/C][C]-0.003686[/C][C]-0.0311[/C][C]0.487654[/C][/ROW]
[ROW][C]43[/C][C]-0.030244[/C][C]-0.2548[/C][C]0.399792[/C][/ROW]
[ROW][C]44[/C][C]-0.024087[/C][C]-0.203[/C][C]0.419874[/C][/ROW]
[ROW][C]45[/C][C]-0.015478[/C][C]-0.1304[/C][C]0.448303[/C][/ROW]
[ROW][C]46[/C][C]-0.089672[/C][C]-0.7556[/C][C]0.226197[/C][/ROW]
[ROW][C]47[/C][C]-0.069136[/C][C]-0.5825[/C][C]0.281022[/C][/ROW]
[ROW][C]48[/C][C]0.135985[/C][C]1.1458[/C][C]0.127856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207870&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207870&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
10.1380871.16350.124252
2-0.162281-1.36740.087905
3-0.205881-1.73480.04356
4-0.128383-1.08180.141506
50.0576060.48540.314445
60.0347970.29320.385109
7-0.064523-0.54370.294182
8-0.114498-0.96480.168965
90.0301140.25370.400213
100.0003490.00290.498831
110.0093870.07910.46859
120.202071.70270.046502
13-0.060184-0.50710.306821
140.0348470.29360.38495
15-0.101678-0.85680.197231
16-0.154811-1.30450.098144
170.0096850.08160.467595
180.0746830.62930.265589
19-0.014372-0.12110.451977
20-0.084951-0.71580.238228
21-0.122737-1.03420.152277
22-0.12297-1.03620.151821
230.0542230.45690.324572
240.3955513.3330.000684
250.0405860.3420.366685
26-0.01208-0.10180.459606
27-0.085236-0.71820.237491
28-0.108267-0.91230.182357
290.026430.22270.412203
300.0570050.48030.316234
310.0527510.44450.329022
32-0.152534-1.28530.101436
33-0.158672-1.3370.092747
34-0.038687-0.3260.372698
350.1444741.21740.113748
360.2218931.86970.032824
37-0.031927-0.2690.394347
380.0201610.16990.432793
39-0.079748-0.6720.251892
40-0.030007-0.25280.400561
41-0.022255-0.18750.425893
42-0.003686-0.03110.487654
43-0.030244-0.25480.399792
44-0.024087-0.2030.419874
45-0.015478-0.13040.448303
46-0.089672-0.75560.226197
47-0.069136-0.58250.281022
480.1359851.14580.127856






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1380871.16350.124252
2-0.184875-1.55780.061866
3-0.162338-1.36790.087831
4-0.112909-0.95140.172317
50.0305560.25750.398782
6-0.051005-0.42980.334329
7-0.099628-0.83950.20201
8-0.109481-0.92250.179695
90.0385880.32510.373012
10-0.084628-0.71310.239065
11-0.033738-0.28430.388512
120.2033451.71340.0455
13-0.125059-1.05380.147781
140.1132350.95410.171626
15-0.114448-0.96440.16907
16-0.101169-0.85250.198411
170.0095070.08010.468189
180.0094440.07960.4684
19-0.084991-0.71610.238125
20-0.060621-0.51080.305538
21-0.162-1.3650.088275
22-0.136876-1.15330.12632
23-0.052389-0.44140.33012
240.2926432.46590.008043
25-0.074023-0.62370.267402
260.0443050.37330.35501
270.0568110.47870.316813
28-0.052329-0.44090.330302
29-0.024314-0.20490.419128
300.0568120.47870.31681
310.1025550.86410.19521
32-0.195949-1.65110.051568
33-0.129182-1.08850.140027
340.01170.09860.460873
350.0411380.34660.364945
36-0.044488-0.37490.354441
370.0160390.13510.446439
380.0265250.22350.411893
39-0.013861-0.11680.453677
400.037620.3170.376091
41-0.072531-0.61120.271523
420.0150240.12660.449809
43-0.048041-0.40480.34342
440.0313960.26450.396063
450.0030960.02610.48963
46-0.017965-0.15140.440055
47-0.162236-1.3670.087965
48-0.056299-0.47440.318342

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.138087 & 1.1635 & 0.124252 \tabularnewline
2 & -0.184875 & -1.5578 & 0.061866 \tabularnewline
3 & -0.162338 & -1.3679 & 0.087831 \tabularnewline
4 & -0.112909 & -0.9514 & 0.172317 \tabularnewline
5 & 0.030556 & 0.2575 & 0.398782 \tabularnewline
6 & -0.051005 & -0.4298 & 0.334329 \tabularnewline
7 & -0.099628 & -0.8395 & 0.20201 \tabularnewline
8 & -0.109481 & -0.9225 & 0.179695 \tabularnewline
9 & 0.038588 & 0.3251 & 0.373012 \tabularnewline
10 & -0.084628 & -0.7131 & 0.239065 \tabularnewline
11 & -0.033738 & -0.2843 & 0.388512 \tabularnewline
12 & 0.203345 & 1.7134 & 0.0455 \tabularnewline
13 & -0.125059 & -1.0538 & 0.147781 \tabularnewline
14 & 0.113235 & 0.9541 & 0.171626 \tabularnewline
15 & -0.114448 & -0.9644 & 0.16907 \tabularnewline
16 & -0.101169 & -0.8525 & 0.198411 \tabularnewline
17 & 0.009507 & 0.0801 & 0.468189 \tabularnewline
18 & 0.009444 & 0.0796 & 0.4684 \tabularnewline
19 & -0.084991 & -0.7161 & 0.238125 \tabularnewline
20 & -0.060621 & -0.5108 & 0.305538 \tabularnewline
21 & -0.162 & -1.365 & 0.088275 \tabularnewline
22 & -0.136876 & -1.1533 & 0.12632 \tabularnewline
23 & -0.052389 & -0.4414 & 0.33012 \tabularnewline
24 & 0.292643 & 2.4659 & 0.008043 \tabularnewline
25 & -0.074023 & -0.6237 & 0.267402 \tabularnewline
26 & 0.044305 & 0.3733 & 0.35501 \tabularnewline
27 & 0.056811 & 0.4787 & 0.316813 \tabularnewline
28 & -0.052329 & -0.4409 & 0.330302 \tabularnewline
29 & -0.024314 & -0.2049 & 0.419128 \tabularnewline
30 & 0.056812 & 0.4787 & 0.31681 \tabularnewline
31 & 0.102555 & 0.8641 & 0.19521 \tabularnewline
32 & -0.195949 & -1.6511 & 0.051568 \tabularnewline
33 & -0.129182 & -1.0885 & 0.140027 \tabularnewline
34 & 0.0117 & 0.0986 & 0.460873 \tabularnewline
35 & 0.041138 & 0.3466 & 0.364945 \tabularnewline
36 & -0.044488 & -0.3749 & 0.354441 \tabularnewline
37 & 0.016039 & 0.1351 & 0.446439 \tabularnewline
38 & 0.026525 & 0.2235 & 0.411893 \tabularnewline
39 & -0.013861 & -0.1168 & 0.453677 \tabularnewline
40 & 0.03762 & 0.317 & 0.376091 \tabularnewline
41 & -0.072531 & -0.6112 & 0.271523 \tabularnewline
42 & 0.015024 & 0.1266 & 0.449809 \tabularnewline
43 & -0.048041 & -0.4048 & 0.34342 \tabularnewline
44 & 0.031396 & 0.2645 & 0.396063 \tabularnewline
45 & 0.003096 & 0.0261 & 0.48963 \tabularnewline
46 & -0.017965 & -0.1514 & 0.440055 \tabularnewline
47 & -0.162236 & -1.367 & 0.087965 \tabularnewline
48 & -0.056299 & -0.4744 & 0.318342 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207870&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]0.138087[/C][C]1.1635[/C][C]0.124252[/C][/ROW]
[ROW][C]2[/C][C]-0.184875[/C][C]-1.5578[/C][C]0.061866[/C][/ROW]
[ROW][C]3[/C][C]-0.162338[/C][C]-1.3679[/C][C]0.087831[/C][/ROW]
[ROW][C]4[/C][C]-0.112909[/C][C]-0.9514[/C][C]0.172317[/C][/ROW]
[ROW][C]5[/C][C]0.030556[/C][C]0.2575[/C][C]0.398782[/C][/ROW]
[ROW][C]6[/C][C]-0.051005[/C][C]-0.4298[/C][C]0.334329[/C][/ROW]
[ROW][C]7[/C][C]-0.099628[/C][C]-0.8395[/C][C]0.20201[/C][/ROW]
[ROW][C]8[/C][C]-0.109481[/C][C]-0.9225[/C][C]0.179695[/C][/ROW]
[ROW][C]9[/C][C]0.038588[/C][C]0.3251[/C][C]0.373012[/C][/ROW]
[ROW][C]10[/C][C]-0.084628[/C][C]-0.7131[/C][C]0.239065[/C][/ROW]
[ROW][C]11[/C][C]-0.033738[/C][C]-0.2843[/C][C]0.388512[/C][/ROW]
[ROW][C]12[/C][C]0.203345[/C][C]1.7134[/C][C]0.0455[/C][/ROW]
[ROW][C]13[/C][C]-0.125059[/C][C]-1.0538[/C][C]0.147781[/C][/ROW]
[ROW][C]14[/C][C]0.113235[/C][C]0.9541[/C][C]0.171626[/C][/ROW]
[ROW][C]15[/C][C]-0.114448[/C][C]-0.9644[/C][C]0.16907[/C][/ROW]
[ROW][C]16[/C][C]-0.101169[/C][C]-0.8525[/C][C]0.198411[/C][/ROW]
[ROW][C]17[/C][C]0.009507[/C][C]0.0801[/C][C]0.468189[/C][/ROW]
[ROW][C]18[/C][C]0.009444[/C][C]0.0796[/C][C]0.4684[/C][/ROW]
[ROW][C]19[/C][C]-0.084991[/C][C]-0.7161[/C][C]0.238125[/C][/ROW]
[ROW][C]20[/C][C]-0.060621[/C][C]-0.5108[/C][C]0.305538[/C][/ROW]
[ROW][C]21[/C][C]-0.162[/C][C]-1.365[/C][C]0.088275[/C][/ROW]
[ROW][C]22[/C][C]-0.136876[/C][C]-1.1533[/C][C]0.12632[/C][/ROW]
[ROW][C]23[/C][C]-0.052389[/C][C]-0.4414[/C][C]0.33012[/C][/ROW]
[ROW][C]24[/C][C]0.292643[/C][C]2.4659[/C][C]0.008043[/C][/ROW]
[ROW][C]25[/C][C]-0.074023[/C][C]-0.6237[/C][C]0.267402[/C][/ROW]
[ROW][C]26[/C][C]0.044305[/C][C]0.3733[/C][C]0.35501[/C][/ROW]
[ROW][C]27[/C][C]0.056811[/C][C]0.4787[/C][C]0.316813[/C][/ROW]
[ROW][C]28[/C][C]-0.052329[/C][C]-0.4409[/C][C]0.330302[/C][/ROW]
[ROW][C]29[/C][C]-0.024314[/C][C]-0.2049[/C][C]0.419128[/C][/ROW]
[ROW][C]30[/C][C]0.056812[/C][C]0.4787[/C][C]0.31681[/C][/ROW]
[ROW][C]31[/C][C]0.102555[/C][C]0.8641[/C][C]0.19521[/C][/ROW]
[ROW][C]32[/C][C]-0.195949[/C][C]-1.6511[/C][C]0.051568[/C][/ROW]
[ROW][C]33[/C][C]-0.129182[/C][C]-1.0885[/C][C]0.140027[/C][/ROW]
[ROW][C]34[/C][C]0.0117[/C][C]0.0986[/C][C]0.460873[/C][/ROW]
[ROW][C]35[/C][C]0.041138[/C][C]0.3466[/C][C]0.364945[/C][/ROW]
[ROW][C]36[/C][C]-0.044488[/C][C]-0.3749[/C][C]0.354441[/C][/ROW]
[ROW][C]37[/C][C]0.016039[/C][C]0.1351[/C][C]0.446439[/C][/ROW]
[ROW][C]38[/C][C]0.026525[/C][C]0.2235[/C][C]0.411893[/C][/ROW]
[ROW][C]39[/C][C]-0.013861[/C][C]-0.1168[/C][C]0.453677[/C][/ROW]
[ROW][C]40[/C][C]0.03762[/C][C]0.317[/C][C]0.376091[/C][/ROW]
[ROW][C]41[/C][C]-0.072531[/C][C]-0.6112[/C][C]0.271523[/C][/ROW]
[ROW][C]42[/C][C]0.015024[/C][C]0.1266[/C][C]0.449809[/C][/ROW]
[ROW][C]43[/C][C]-0.048041[/C][C]-0.4048[/C][C]0.34342[/C][/ROW]
[ROW][C]44[/C][C]0.031396[/C][C]0.2645[/C][C]0.396063[/C][/ROW]
[ROW][C]45[/C][C]0.003096[/C][C]0.0261[/C][C]0.48963[/C][/ROW]
[ROW][C]46[/C][C]-0.017965[/C][C]-0.1514[/C][C]0.440055[/C][/ROW]
[ROW][C]47[/C][C]-0.162236[/C][C]-1.367[/C][C]0.087965[/C][/ROW]
[ROW][C]48[/C][C]-0.056299[/C][C]-0.4744[/C][C]0.318342[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207870&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207870&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
10.1380871.16350.124252
2-0.184875-1.55780.061866
3-0.162338-1.36790.087831
4-0.112909-0.95140.172317
50.0305560.25750.398782
6-0.051005-0.42980.334329
7-0.099628-0.83950.20201
8-0.109481-0.92250.179695
90.0385880.32510.373012
10-0.084628-0.71310.239065
11-0.033738-0.28430.388512
120.2033451.71340.0455
13-0.125059-1.05380.147781
140.1132350.95410.171626
15-0.114448-0.96440.16907
16-0.101169-0.85250.198411
170.0095070.08010.468189
180.0094440.07960.4684
19-0.084991-0.71610.238125
20-0.060621-0.51080.305538
21-0.162-1.3650.088275
22-0.136876-1.15330.12632
23-0.052389-0.44140.33012
240.2926432.46590.008043
25-0.074023-0.62370.267402
260.0443050.37330.35501
270.0568110.47870.316813
28-0.052329-0.44090.330302
29-0.024314-0.20490.419128
300.0568120.47870.31681
310.1025550.86410.19521
32-0.195949-1.65110.051568
33-0.129182-1.08850.140027
340.01170.09860.460873
350.0411380.34660.364945
36-0.044488-0.37490.354441
370.0160390.13510.446439
380.0265250.22350.411893
39-0.013861-0.11680.453677
400.037620.3170.376091
41-0.072531-0.61120.271523
420.0150240.12660.449809
43-0.048041-0.40480.34342
440.0313960.26450.396063
450.0030960.02610.48963
46-0.017965-0.15140.440055
47-0.162236-1.3670.087965
48-0.056299-0.47440.318342


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)
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')