Free Statistics

of Irreproducible Research!

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, 09 Dec 2008 15:40:22 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/09/t1228862482lleaplwxsv0izsk.htm/, Retrieved Sun, 19 May 2024 09:17:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31839, Retrieved Sun, 19 May 2024 09:17:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [(P)ACF] [2008-12-09 21:51:43] [abc1badd8768b83426be5031c0f123a6]
-   P     [(Partial) Autocorrelation Function] [PACF D=1] [2008-12-09 22:40:22] [0bb3b56b7083c5944c3818446f605d68] [Current]
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Dataseries X:
100.6
99.2
108.4
103.0
99.8
115.0
90.8
95.9
114.4
108.2
112.6
109.1
105.0
105.0
118.5
103.7
112.5
116.6
96.6
101.9
116.5
119.3
115.4
108.5
111.5
108.8
121.8
109.6
112.2
119.6
104.1
105.3
115.0
124.1
116.8
107.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31839&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31839&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31839&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.289195-1.41680.084702
20.0638760.31290.378519
30.3379381.65560.055416
4-0.169156-0.82870.207722
50.1960260.96030.173233
60.0892520.43720.332923
7-0.114418-0.56050.290157
80.0688650.33740.369385
90.053970.26440.396866
10-0.082234-0.40290.345308
11-0.010977-0.05380.478778
120.0068840.03370.486688
13-0.05989-0.29340.385869
14-0.085556-0.41910.339422
15-0.033577-0.16450.435361
16-0.138551-0.67880.251892
170.0757430.37110.356923
18-0.145065-0.71070.242069
19-0.125026-0.61250.272983
200.0029840.01460.494228
21-0.108896-0.53350.299305
22-0.028802-0.14110.444484
23-0.004195-0.02050.491887
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 & -0.289195 & -1.4168 & 0.084702 \tabularnewline
2 & 0.063876 & 0.3129 & 0.378519 \tabularnewline
3 & 0.337938 & 1.6556 & 0.055416 \tabularnewline
4 & -0.169156 & -0.8287 & 0.207722 \tabularnewline
5 & 0.196026 & 0.9603 & 0.173233 \tabularnewline
6 & 0.089252 & 0.4372 & 0.332923 \tabularnewline
7 & -0.114418 & -0.5605 & 0.290157 \tabularnewline
8 & 0.068865 & 0.3374 & 0.369385 \tabularnewline
9 & 0.05397 & 0.2644 & 0.396866 \tabularnewline
10 & -0.082234 & -0.4029 & 0.345308 \tabularnewline
11 & -0.010977 & -0.0538 & 0.478778 \tabularnewline
12 & 0.006884 & 0.0337 & 0.486688 \tabularnewline
13 & -0.05989 & -0.2934 & 0.385869 \tabularnewline
14 & -0.085556 & -0.4191 & 0.339422 \tabularnewline
15 & -0.033577 & -0.1645 & 0.435361 \tabularnewline
16 & -0.138551 & -0.6788 & 0.251892 \tabularnewline
17 & 0.075743 & 0.3711 & 0.356923 \tabularnewline
18 & -0.145065 & -0.7107 & 0.242069 \tabularnewline
19 & -0.125026 & -0.6125 & 0.272983 \tabularnewline
20 & 0.002984 & 0.0146 & 0.494228 \tabularnewline
21 & -0.108896 & -0.5335 & 0.299305 \tabularnewline
22 & -0.028802 & -0.1411 & 0.444484 \tabularnewline
23 & -0.004195 & -0.0205 & 0.491887 \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=31839&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]-0.289195[/C][C]-1.4168[/C][C]0.084702[/C][/ROW]
[ROW][C]2[/C][C]0.063876[/C][C]0.3129[/C][C]0.378519[/C][/ROW]
[ROW][C]3[/C][C]0.337938[/C][C]1.6556[/C][C]0.055416[/C][/ROW]
[ROW][C]4[/C][C]-0.169156[/C][C]-0.8287[/C][C]0.207722[/C][/ROW]
[ROW][C]5[/C][C]0.196026[/C][C]0.9603[/C][C]0.173233[/C][/ROW]
[ROW][C]6[/C][C]0.089252[/C][C]0.4372[/C][C]0.332923[/C][/ROW]
[ROW][C]7[/C][C]-0.114418[/C][C]-0.5605[/C][C]0.290157[/C][/ROW]
[ROW][C]8[/C][C]0.068865[/C][C]0.3374[/C][C]0.369385[/C][/ROW]
[ROW][C]9[/C][C]0.05397[/C][C]0.2644[/C][C]0.396866[/C][/ROW]
[ROW][C]10[/C][C]-0.082234[/C][C]-0.4029[/C][C]0.345308[/C][/ROW]
[ROW][C]11[/C][C]-0.010977[/C][C]-0.0538[/C][C]0.478778[/C][/ROW]
[ROW][C]12[/C][C]0.006884[/C][C]0.0337[/C][C]0.486688[/C][/ROW]
[ROW][C]13[/C][C]-0.05989[/C][C]-0.2934[/C][C]0.385869[/C][/ROW]
[ROW][C]14[/C][C]-0.085556[/C][C]-0.4191[/C][C]0.339422[/C][/ROW]
[ROW][C]15[/C][C]-0.033577[/C][C]-0.1645[/C][C]0.435361[/C][/ROW]
[ROW][C]16[/C][C]-0.138551[/C][C]-0.6788[/C][C]0.251892[/C][/ROW]
[ROW][C]17[/C][C]0.075743[/C][C]0.3711[/C][C]0.356923[/C][/ROW]
[ROW][C]18[/C][C]-0.145065[/C][C]-0.7107[/C][C]0.242069[/C][/ROW]
[ROW][C]19[/C][C]-0.125026[/C][C]-0.6125[/C][C]0.272983[/C][/ROW]
[ROW][C]20[/C][C]0.002984[/C][C]0.0146[/C][C]0.494228[/C][/ROW]
[ROW][C]21[/C][C]-0.108896[/C][C]-0.5335[/C][C]0.299305[/C][/ROW]
[ROW][C]22[/C][C]-0.028802[/C][C]-0.1411[/C][C]0.444484[/C][/ROW]
[ROW][C]23[/C][C]-0.004195[/C][C]-0.0205[/C][C]0.491887[/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=31839&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31839&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.289195-1.41680.084702
20.0638760.31290.378519
30.3379381.65560.055416
4-0.169156-0.82870.207722
50.1960260.96030.173233
60.0892520.43720.332923
7-0.114418-0.56050.290157
80.0688650.33740.369385
90.053970.26440.396866
10-0.082234-0.40290.345308
11-0.010977-0.05380.478778
120.0068840.03370.486688
13-0.05989-0.29340.385869
14-0.085556-0.41910.339422
15-0.033577-0.16450.435361
16-0.138551-0.67880.251892
170.0757430.37110.356923
18-0.145065-0.71070.242069
19-0.125026-0.61250.272983
200.0029840.01460.494228
21-0.108896-0.53350.299305
22-0.028802-0.14110.444484
23-0.004195-0.02050.491887
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
1-0.289195-1.41680.084702
2-0.021561-0.10560.458378
30.3827471.87510.036501
40.0418740.20510.419597
50.1307030.64030.264018
60.0768150.37630.354995
7-0.060606-0.29690.384546
8-0.128883-0.63140.266876
90.0104190.0510.479858
10-0.025491-0.12490.45083
11-0.086028-0.42150.338589
12-0.03469-0.16990.433238
130.0042150.02060.491848
14-0.117404-0.57520.285268
15-0.106086-0.51970.304012
16-0.138515-0.67860.251946
170.1081520.52980.300548
18-0.060255-0.29520.385194
19-0.106491-0.52170.303331
20-0.092564-0.45350.327142
21-0.019088-0.09350.463137
22-0.027878-0.13660.446254
230.0363320.1780.430113
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 & -0.289195 & -1.4168 & 0.084702 \tabularnewline
2 & -0.021561 & -0.1056 & 0.458378 \tabularnewline
3 & 0.382747 & 1.8751 & 0.036501 \tabularnewline
4 & 0.041874 & 0.2051 & 0.419597 \tabularnewline
5 & 0.130703 & 0.6403 & 0.264018 \tabularnewline
6 & 0.076815 & 0.3763 & 0.354995 \tabularnewline
7 & -0.060606 & -0.2969 & 0.384546 \tabularnewline
8 & -0.128883 & -0.6314 & 0.266876 \tabularnewline
9 & 0.010419 & 0.051 & 0.479858 \tabularnewline
10 & -0.025491 & -0.1249 & 0.45083 \tabularnewline
11 & -0.086028 & -0.4215 & 0.338589 \tabularnewline
12 & -0.03469 & -0.1699 & 0.433238 \tabularnewline
13 & 0.004215 & 0.0206 & 0.491848 \tabularnewline
14 & -0.117404 & -0.5752 & 0.285268 \tabularnewline
15 & -0.106086 & -0.5197 & 0.304012 \tabularnewline
16 & -0.138515 & -0.6786 & 0.251946 \tabularnewline
17 & 0.108152 & 0.5298 & 0.300548 \tabularnewline
18 & -0.060255 & -0.2952 & 0.385194 \tabularnewline
19 & -0.106491 & -0.5217 & 0.303331 \tabularnewline
20 & -0.092564 & -0.4535 & 0.327142 \tabularnewline
21 & -0.019088 & -0.0935 & 0.463137 \tabularnewline
22 & -0.027878 & -0.1366 & 0.446254 \tabularnewline
23 & 0.036332 & 0.178 & 0.430113 \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=31839&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]-0.289195[/C][C]-1.4168[/C][C]0.084702[/C][/ROW]
[ROW][C]2[/C][C]-0.021561[/C][C]-0.1056[/C][C]0.458378[/C][/ROW]
[ROW][C]3[/C][C]0.382747[/C][C]1.8751[/C][C]0.036501[/C][/ROW]
[ROW][C]4[/C][C]0.041874[/C][C]0.2051[/C][C]0.419597[/C][/ROW]
[ROW][C]5[/C][C]0.130703[/C][C]0.6403[/C][C]0.264018[/C][/ROW]
[ROW][C]6[/C][C]0.076815[/C][C]0.3763[/C][C]0.354995[/C][/ROW]
[ROW][C]7[/C][C]-0.060606[/C][C]-0.2969[/C][C]0.384546[/C][/ROW]
[ROW][C]8[/C][C]-0.128883[/C][C]-0.6314[/C][C]0.266876[/C][/ROW]
[ROW][C]9[/C][C]0.010419[/C][C]0.051[/C][C]0.479858[/C][/ROW]
[ROW][C]10[/C][C]-0.025491[/C][C]-0.1249[/C][C]0.45083[/C][/ROW]
[ROW][C]11[/C][C]-0.086028[/C][C]-0.4215[/C][C]0.338589[/C][/ROW]
[ROW][C]12[/C][C]-0.03469[/C][C]-0.1699[/C][C]0.433238[/C][/ROW]
[ROW][C]13[/C][C]0.004215[/C][C]0.0206[/C][C]0.491848[/C][/ROW]
[ROW][C]14[/C][C]-0.117404[/C][C]-0.5752[/C][C]0.285268[/C][/ROW]
[ROW][C]15[/C][C]-0.106086[/C][C]-0.5197[/C][C]0.304012[/C][/ROW]
[ROW][C]16[/C][C]-0.138515[/C][C]-0.6786[/C][C]0.251946[/C][/ROW]
[ROW][C]17[/C][C]0.108152[/C][C]0.5298[/C][C]0.300548[/C][/ROW]
[ROW][C]18[/C][C]-0.060255[/C][C]-0.2952[/C][C]0.385194[/C][/ROW]
[ROW][C]19[/C][C]-0.106491[/C][C]-0.5217[/C][C]0.303331[/C][/ROW]
[ROW][C]20[/C][C]-0.092564[/C][C]-0.4535[/C][C]0.327142[/C][/ROW]
[ROW][C]21[/C][C]-0.019088[/C][C]-0.0935[/C][C]0.463137[/C][/ROW]
[ROW][C]22[/C][C]-0.027878[/C][C]-0.1366[/C][C]0.446254[/C][/ROW]
[ROW][C]23[/C][C]0.036332[/C][C]0.178[/C][C]0.430113[/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=31839&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31839&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.289195-1.41680.084702
2-0.021561-0.10560.458378
30.3827471.87510.036501
40.0418740.20510.419597
50.1307030.64030.264018
60.0768150.37630.354995
7-0.060606-0.29690.384546
8-0.128883-0.63140.266876
90.0104190.0510.479858
10-0.025491-0.12490.45083
11-0.086028-0.42150.338589
12-0.03469-0.16990.433238
130.0042150.02060.491848
14-0.117404-0.57520.285268
15-0.106086-0.51970.304012
16-0.138515-0.67860.251946
170.1081520.52980.300548
18-0.060255-0.29520.385194
19-0.106491-0.52170.303331
20-0.092564-0.45350.327142
21-0.019088-0.09350.463137
22-0.027878-0.13660.446254
230.0363320.1780.430113
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



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')