FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

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 computationTue, 20 Dec 2016 12:02:15 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/20/t1482231793n1ui2fqgegy71u7.htm/, Retrieved Sun, 28 Apr 2024 05:20:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301604, Retrieved Sun, 28 Apr 2024 05:20:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71

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] [] [2016-12-20 11:02:15] [b2e25925e4919b0d6985405fcb461c0d] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4400
4400
5400
7300
7200
7100
7000
10000
10100
9400
8500
8300
9200
10400
11700
12200
10400
10400
9800
9200

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301604&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301604&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301604&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7789233.48340.001172
20.5001412.23670.018429
30.2968861.32770.099614
40.2453671.09730.14277
50.1735420.77610.223384
60.0607850.27180.394266
7-0.075513-0.33770.369552
8-0.092225-0.41240.342202
9-0.102682-0.45920.325519
10-0.111425-0.49830.311851
11-0.204348-0.91390.185835
12-0.331436-1.48220.076933
13-0.424616-1.89890.036048
14-0.414938-1.85570.03915
15-0.329135-1.47190.0783
16-0.209789-0.93820.179666
17-0.153781-0.68770.249762
18-0.079544-0.35570.362883
19-0.026213-0.11720.453924
20NANANA
21NANANA
22NANANA
23NANANA
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
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 & 0.778923 & 3.4834 & 0.001172 \tabularnewline
2 & 0.500141 & 2.2367 & 0.018429 \tabularnewline
3 & 0.296886 & 1.3277 & 0.099614 \tabularnewline
4 & 0.245367 & 1.0973 & 0.14277 \tabularnewline
5 & 0.173542 & 0.7761 & 0.223384 \tabularnewline
6 & 0.060785 & 0.2718 & 0.394266 \tabularnewline
7 & -0.075513 & -0.3377 & 0.369552 \tabularnewline
8 & -0.092225 & -0.4124 & 0.342202 \tabularnewline
9 & -0.102682 & -0.4592 & 0.325519 \tabularnewline
10 & -0.111425 & -0.4983 & 0.311851 \tabularnewline
11 & -0.204348 & -0.9139 & 0.185835 \tabularnewline
12 & -0.331436 & -1.4822 & 0.076933 \tabularnewline
13 & -0.424616 & -1.8989 & 0.036048 \tabularnewline
14 & -0.414938 & -1.8557 & 0.03915 \tabularnewline
15 & -0.329135 & -1.4719 & 0.0783 \tabularnewline
16 & -0.209789 & -0.9382 & 0.179666 \tabularnewline
17 & -0.153781 & -0.6877 & 0.249762 \tabularnewline
18 & -0.079544 & -0.3557 & 0.362883 \tabularnewline
19 & -0.026213 & -0.1172 & 0.453924 \tabularnewline
20 & NA & NA & NA \tabularnewline
21 & NA & NA & NA \tabularnewline
22 & NA & NA & NA \tabularnewline
23 & NA & NA & NA \tabularnewline
24 & NA & NA & NA \tabularnewline
25 & NA & NA & NA \tabularnewline
26 & NA & NA & NA \tabularnewline
27 & NA & NA & NA \tabularnewline
28 & NA & NA & NA \tabularnewline
29 & NA & NA & NA \tabularnewline
30 & NA & NA & NA \tabularnewline
31 & NA & NA & NA \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \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=301604&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]0.778923[/C][C]3.4834[/C][C]0.001172[/C][/ROW]
[ROW][C]2[/C][C]0.500141[/C][C]2.2367[/C][C]0.018429[/C][/ROW]
[ROW][C]3[/C][C]0.296886[/C][C]1.3277[/C][C]0.099614[/C][/ROW]
[ROW][C]4[/C][C]0.245367[/C][C]1.0973[/C][C]0.14277[/C][/ROW]
[ROW][C]5[/C][C]0.173542[/C][C]0.7761[/C][C]0.223384[/C][/ROW]
[ROW][C]6[/C][C]0.060785[/C][C]0.2718[/C][C]0.394266[/C][/ROW]
[ROW][C]7[/C][C]-0.075513[/C][C]-0.3377[/C][C]0.369552[/C][/ROW]
[ROW][C]8[/C][C]-0.092225[/C][C]-0.4124[/C][C]0.342202[/C][/ROW]
[ROW][C]9[/C][C]-0.102682[/C][C]-0.4592[/C][C]0.325519[/C][/ROW]
[ROW][C]10[/C][C]-0.111425[/C][C]-0.4983[/C][C]0.311851[/C][/ROW]
[ROW][C]11[/C][C]-0.204348[/C][C]-0.9139[/C][C]0.185835[/C][/ROW]
[ROW][C]12[/C][C]-0.331436[/C][C]-1.4822[/C][C]0.076933[/C][/ROW]
[ROW][C]13[/C][C]-0.424616[/C][C]-1.8989[/C][C]0.036048[/C][/ROW]
[ROW][C]14[/C][C]-0.414938[/C][C]-1.8557[/C][C]0.03915[/C][/ROW]
[ROW][C]15[/C][C]-0.329135[/C][C]-1.4719[/C][C]0.0783[/C][/ROW]
[ROW][C]16[/C][C]-0.209789[/C][C]-0.9382[/C][C]0.179666[/C][/ROW]
[ROW][C]17[/C][C]-0.153781[/C][C]-0.6877[/C][C]0.249762[/C][/ROW]
[ROW][C]18[/C][C]-0.079544[/C][C]-0.3557[/C][C]0.362883[/C][/ROW]
[ROW][C]19[/C][C]-0.026213[/C][C]-0.1172[/C][C]0.453924[/C][/ROW]
[ROW][C]20[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]21[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]22[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]23[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]24[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]25[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]26[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]27[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]28[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]29[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]30[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]31[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=301604&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301604&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
10.7789233.48340.001172
20.5001412.23670.018429
30.2968861.32770.099614
40.2453671.09730.14277
50.1735420.77610.223384
60.0607850.27180.394266
7-0.075513-0.33770.369552
8-0.092225-0.41240.342202
9-0.102682-0.45920.325519
10-0.111425-0.49830.311851
11-0.204348-0.91390.185835
12-0.331436-1.48220.076933
13-0.424616-1.89890.036048
14-0.414938-1.85570.03915
15-0.329135-1.47190.0783
16-0.209789-0.93820.179666
17-0.153781-0.68770.249762
18-0.079544-0.35570.362883
19-0.026213-0.11720.453924
20NANANA
21NANANA
22NANANA
23NANANA
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7789233.48340.001172
2-0.271003-1.2120.119826
30.0352070.15750.438234
40.2037740.91130.186494
5-0.206736-0.92460.18311
6-0.086767-0.3880.351045
7-0.07529-0.33670.369923
80.1501730.67160.254763
9-0.174397-0.77990.222283
10-0.001356-0.00610.497611
11-0.165277-0.73910.234204
12-0.237999-1.06440.149924
13-0.057567-0.25740.399732
14-0.004785-0.02140.49157
150.1058940.47360.320467
160.0566640.25340.401269
17-0.047583-0.21280.41682
180.1201950.53750.298417
19-0.129762-0.58030.284092
20NANANA
21NANANA
22NANANA
23NANANA
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
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 & 0.778923 & 3.4834 & 0.001172 \tabularnewline
2 & -0.271003 & -1.212 & 0.119826 \tabularnewline
3 & 0.035207 & 0.1575 & 0.438234 \tabularnewline
4 & 0.203774 & 0.9113 & 0.186494 \tabularnewline
5 & -0.206736 & -0.9246 & 0.18311 \tabularnewline
6 & -0.086767 & -0.388 & 0.351045 \tabularnewline
7 & -0.07529 & -0.3367 & 0.369923 \tabularnewline
8 & 0.150173 & 0.6716 & 0.254763 \tabularnewline
9 & -0.174397 & -0.7799 & 0.222283 \tabularnewline
10 & -0.001356 & -0.0061 & 0.497611 \tabularnewline
11 & -0.165277 & -0.7391 & 0.234204 \tabularnewline
12 & -0.237999 & -1.0644 & 0.149924 \tabularnewline
13 & -0.057567 & -0.2574 & 0.399732 \tabularnewline
14 & -0.004785 & -0.0214 & 0.49157 \tabularnewline
15 & 0.105894 & 0.4736 & 0.320467 \tabularnewline
16 & 0.056664 & 0.2534 & 0.401269 \tabularnewline
17 & -0.047583 & -0.2128 & 0.41682 \tabularnewline
18 & 0.120195 & 0.5375 & 0.298417 \tabularnewline
19 & -0.129762 & -0.5803 & 0.284092 \tabularnewline
20 & NA & NA & NA \tabularnewline
21 & NA & NA & NA \tabularnewline
22 & NA & NA & NA \tabularnewline
23 & NA & NA & NA \tabularnewline
24 & NA & NA & NA \tabularnewline
25 & NA & NA & NA \tabularnewline
26 & NA & NA & NA \tabularnewline
27 & NA & NA & NA \tabularnewline
28 & NA & NA & NA \tabularnewline
29 & NA & NA & NA \tabularnewline
30 & NA & NA & NA \tabularnewline
31 & NA & NA & NA \tabularnewline
32 & NA & NA & NA \tabularnewline
33 & NA & NA & NA \tabularnewline
34 & NA & NA & NA \tabularnewline
35 & NA & NA & NA \tabularnewline
36 & NA & NA & NA \tabularnewline
37 & NA & NA & NA \tabularnewline
38 & NA & NA & NA \tabularnewline
39 & NA & NA & NA \tabularnewline
40 & NA & NA & NA \tabularnewline
41 & NA & NA & NA \tabularnewline
42 & NA & NA & NA \tabularnewline
43 & NA & NA & NA \tabularnewline
44 & NA & NA & NA \tabularnewline
45 & NA & NA & NA \tabularnewline
46 & NA & NA & NA \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=301604&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]0.778923[/C][C]3.4834[/C][C]0.001172[/C][/ROW]
[ROW][C]2[/C][C]-0.271003[/C][C]-1.212[/C][C]0.119826[/C][/ROW]
[ROW][C]3[/C][C]0.035207[/C][C]0.1575[/C][C]0.438234[/C][/ROW]
[ROW][C]4[/C][C]0.203774[/C][C]0.9113[/C][C]0.186494[/C][/ROW]
[ROW][C]5[/C][C]-0.206736[/C][C]-0.9246[/C][C]0.18311[/C][/ROW]
[ROW][C]6[/C][C]-0.086767[/C][C]-0.388[/C][C]0.351045[/C][/ROW]
[ROW][C]7[/C][C]-0.07529[/C][C]-0.3367[/C][C]0.369923[/C][/ROW]
[ROW][C]8[/C][C]0.150173[/C][C]0.6716[/C][C]0.254763[/C][/ROW]
[ROW][C]9[/C][C]-0.174397[/C][C]-0.7799[/C][C]0.222283[/C][/ROW]
[ROW][C]10[/C][C]-0.001356[/C][C]-0.0061[/C][C]0.497611[/C][/ROW]
[ROW][C]11[/C][C]-0.165277[/C][C]-0.7391[/C][C]0.234204[/C][/ROW]
[ROW][C]12[/C][C]-0.237999[/C][C]-1.0644[/C][C]0.149924[/C][/ROW]
[ROW][C]13[/C][C]-0.057567[/C][C]-0.2574[/C][C]0.399732[/C][/ROW]
[ROW][C]14[/C][C]-0.004785[/C][C]-0.0214[/C][C]0.49157[/C][/ROW]
[ROW][C]15[/C][C]0.105894[/C][C]0.4736[/C][C]0.320467[/C][/ROW]
[ROW][C]16[/C][C]0.056664[/C][C]0.2534[/C][C]0.401269[/C][/ROW]
[ROW][C]17[/C][C]-0.047583[/C][C]-0.2128[/C][C]0.41682[/C][/ROW]
[ROW][C]18[/C][C]0.120195[/C][C]0.5375[/C][C]0.298417[/C][/ROW]
[ROW][C]19[/C][C]-0.129762[/C][C]-0.5803[/C][C]0.284092[/C][/ROW]
[ROW][C]20[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]21[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]22[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]23[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]24[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]25[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]26[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]27[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]28[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]29[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]30[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]31[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]32[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]33[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]34[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]35[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]36[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]37[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]38[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]39[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]40[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]41[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]42[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]43[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]44[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]45[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=301604&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301604&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
10.7789233.48340.001172
2-0.271003-1.2120.119826
30.0352070.15750.438234
40.2037740.91130.186494
5-0.206736-0.92460.18311
6-0.086767-0.3880.351045
7-0.07529-0.33670.369923
80.1501730.67160.254763
9-0.174397-0.77990.222283
10-0.001356-0.00610.497611
11-0.165277-0.73910.234204
12-0.237999-1.06440.149924
13-0.057567-0.25740.399732
14-0.004785-0.02140.49157
150.1058940.47360.320467
160.0566640.25340.401269
17-0.047583-0.21280.41682
180.1201950.53750.298417
19-0.129762-0.58030.284092
20NANANA
21NANANA
22NANANA
23NANANA
24NANANA
25NANANA
26NANANA
27NANANA
28NANANA
29NANANA
30NANANA
31NANANA
32NANANA
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; 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,'ACF(k)',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,'PACF(k)',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')