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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 computationWed, 24 Dec 2008 06:15:43 -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/24/t1230124608i81zeka18mjgmpo.htm/, Retrieved Fri, 17 May 2024 02:10:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36552, Retrieved Fri, 17 May 2024 02:10:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-16 15:38:59] [9fd02a4fb76a6860fd38131ad7f5d02f]
- R PD    [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-24 13:15:43] [52492148dbcac26917ed19e489351f79] [Current]
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Dataseries X:
97.5
97.1
97.5
98.5
100.5
102.8
105.2
107.4
108.0
107.6
107.0
105.8
104.3
103.8
104.4
106.2
108.5
109.8
110.3
109.7
108.7
108.9
109.7
110.4
111.4
112.6
113.6
113.8
113.2
113.6
113.9
113.4
113.8
116.0
118.3
120.5
121.9
121.2
120.2
120.6
110.2
109.2
108.7
109.9
112.2
114.5
114.7
113.2
112.1
112.6
113.6
114.0
114.5
115.0
114.9
114.8
114.3
113.7
114.5
116.0
116.6
116.2
115.7
115.6
115.2
115.0
115.7
115.9
115.6
115.9
117.0
117.9
118.8
119.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36552&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36552&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36552&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.36198-3.07150.001502
20.0469620.39850.345727
3-0.011467-0.09730.46138
4-0.136506-1.15830.125286
5-0.145063-1.23090.111183
6-0.003939-0.03340.486713
7-0.003878-0.03290.486921
80.0753350.63920.262348
90.073580.62430.267187
100.0082720.07020.472119
110.0113960.09670.461618
120.0195340.16570.43441
13-0.07223-0.61290.270939
14-0.007286-0.06180.475436
15-0.03969-0.33680.36863
160.0018420.01560.493787
170.0795090.67470.251028
18-0.043755-0.37130.355764
19-0.046867-0.39770.346021
200.0979470.83110.20433
210.043750.37120.355777
22-0.025888-0.21970.413377
23-0.032032-0.27180.393277
24-0.063931-0.54250.294585
25-0.023915-0.20290.419882
26-0.047486-0.40290.344095
270.0261540.22190.412501
280.1241851.05370.147761
290.0586310.49750.310177
30-0.037403-0.31740.375937
310.0184920.15690.437879
32-0.007666-0.0650.474158
33-0.081716-0.69340.245151
34-0.014096-0.11960.452564
35-0.01892-0.16050.436453
36-0.01974-0.16750.433724
370.0461930.3920.348123
380.0002180.00190.499264
390.0256350.21750.414208
40-0.005549-0.04710.481287
41-0.008521-0.07230.471282
42-0.00648-0.0550.478153
430.0016870.01430.494308
440.0079510.06750.473197
450.012030.10210.459489
46-0.003762-0.03190.487312
47-0.009953-0.08450.466465
480.002590.0220.491264

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.36198 & -3.0715 & 0.001502 \tabularnewline
2 & 0.046962 & 0.3985 & 0.345727 \tabularnewline
3 & -0.011467 & -0.0973 & 0.46138 \tabularnewline
4 & -0.136506 & -1.1583 & 0.125286 \tabularnewline
5 & -0.145063 & -1.2309 & 0.111183 \tabularnewline
6 & -0.003939 & -0.0334 & 0.486713 \tabularnewline
7 & -0.003878 & -0.0329 & 0.486921 \tabularnewline
8 & 0.075335 & 0.6392 & 0.262348 \tabularnewline
9 & 0.07358 & 0.6243 & 0.267187 \tabularnewline
10 & 0.008272 & 0.0702 & 0.472119 \tabularnewline
11 & 0.011396 & 0.0967 & 0.461618 \tabularnewline
12 & 0.019534 & 0.1657 & 0.43441 \tabularnewline
13 & -0.07223 & -0.6129 & 0.270939 \tabularnewline
14 & -0.007286 & -0.0618 & 0.475436 \tabularnewline
15 & -0.03969 & -0.3368 & 0.36863 \tabularnewline
16 & 0.001842 & 0.0156 & 0.493787 \tabularnewline
17 & 0.079509 & 0.6747 & 0.251028 \tabularnewline
18 & -0.043755 & -0.3713 & 0.355764 \tabularnewline
19 & -0.046867 & -0.3977 & 0.346021 \tabularnewline
20 & 0.097947 & 0.8311 & 0.20433 \tabularnewline
21 & 0.04375 & 0.3712 & 0.355777 \tabularnewline
22 & -0.025888 & -0.2197 & 0.413377 \tabularnewline
23 & -0.032032 & -0.2718 & 0.393277 \tabularnewline
24 & -0.063931 & -0.5425 & 0.294585 \tabularnewline
25 & -0.023915 & -0.2029 & 0.419882 \tabularnewline
26 & -0.047486 & -0.4029 & 0.344095 \tabularnewline
27 & 0.026154 & 0.2219 & 0.412501 \tabularnewline
28 & 0.124185 & 1.0537 & 0.147761 \tabularnewline
29 & 0.058631 & 0.4975 & 0.310177 \tabularnewline
30 & -0.037403 & -0.3174 & 0.375937 \tabularnewline
31 & 0.018492 & 0.1569 & 0.437879 \tabularnewline
32 & -0.007666 & -0.065 & 0.474158 \tabularnewline
33 & -0.081716 & -0.6934 & 0.245151 \tabularnewline
34 & -0.014096 & -0.1196 & 0.452564 \tabularnewline
35 & -0.01892 & -0.1605 & 0.436453 \tabularnewline
36 & -0.01974 & -0.1675 & 0.433724 \tabularnewline
37 & 0.046193 & 0.392 & 0.348123 \tabularnewline
38 & 0.000218 & 0.0019 & 0.499264 \tabularnewline
39 & 0.025635 & 0.2175 & 0.414208 \tabularnewline
40 & -0.005549 & -0.0471 & 0.481287 \tabularnewline
41 & -0.008521 & -0.0723 & 0.471282 \tabularnewline
42 & -0.00648 & -0.055 & 0.478153 \tabularnewline
43 & 0.001687 & 0.0143 & 0.494308 \tabularnewline
44 & 0.007951 & 0.0675 & 0.473197 \tabularnewline
45 & 0.01203 & 0.1021 & 0.459489 \tabularnewline
46 & -0.003762 & -0.0319 & 0.487312 \tabularnewline
47 & -0.009953 & -0.0845 & 0.466465 \tabularnewline
48 & 0.00259 & 0.022 & 0.491264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36552&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]-0.36198[/C][C]-3.0715[/C][C]0.001502[/C][/ROW]
[ROW][C]2[/C][C]0.046962[/C][C]0.3985[/C][C]0.345727[/C][/ROW]
[ROW][C]3[/C][C]-0.011467[/C][C]-0.0973[/C][C]0.46138[/C][/ROW]
[ROW][C]4[/C][C]-0.136506[/C][C]-1.1583[/C][C]0.125286[/C][/ROW]
[ROW][C]5[/C][C]-0.145063[/C][C]-1.2309[/C][C]0.111183[/C][/ROW]
[ROW][C]6[/C][C]-0.003939[/C][C]-0.0334[/C][C]0.486713[/C][/ROW]
[ROW][C]7[/C][C]-0.003878[/C][C]-0.0329[/C][C]0.486921[/C][/ROW]
[ROW][C]8[/C][C]0.075335[/C][C]0.6392[/C][C]0.262348[/C][/ROW]
[ROW][C]9[/C][C]0.07358[/C][C]0.6243[/C][C]0.267187[/C][/ROW]
[ROW][C]10[/C][C]0.008272[/C][C]0.0702[/C][C]0.472119[/C][/ROW]
[ROW][C]11[/C][C]0.011396[/C][C]0.0967[/C][C]0.461618[/C][/ROW]
[ROW][C]12[/C][C]0.019534[/C][C]0.1657[/C][C]0.43441[/C][/ROW]
[ROW][C]13[/C][C]-0.07223[/C][C]-0.6129[/C][C]0.270939[/C][/ROW]
[ROW][C]14[/C][C]-0.007286[/C][C]-0.0618[/C][C]0.475436[/C][/ROW]
[ROW][C]15[/C][C]-0.03969[/C][C]-0.3368[/C][C]0.36863[/C][/ROW]
[ROW][C]16[/C][C]0.001842[/C][C]0.0156[/C][C]0.493787[/C][/ROW]
[ROW][C]17[/C][C]0.079509[/C][C]0.6747[/C][C]0.251028[/C][/ROW]
[ROW][C]18[/C][C]-0.043755[/C][C]-0.3713[/C][C]0.355764[/C][/ROW]
[ROW][C]19[/C][C]-0.046867[/C][C]-0.3977[/C][C]0.346021[/C][/ROW]
[ROW][C]20[/C][C]0.097947[/C][C]0.8311[/C][C]0.20433[/C][/ROW]
[ROW][C]21[/C][C]0.04375[/C][C]0.3712[/C][C]0.355777[/C][/ROW]
[ROW][C]22[/C][C]-0.025888[/C][C]-0.2197[/C][C]0.413377[/C][/ROW]
[ROW][C]23[/C][C]-0.032032[/C][C]-0.2718[/C][C]0.393277[/C][/ROW]
[ROW][C]24[/C][C]-0.063931[/C][C]-0.5425[/C][C]0.294585[/C][/ROW]
[ROW][C]25[/C][C]-0.023915[/C][C]-0.2029[/C][C]0.419882[/C][/ROW]
[ROW][C]26[/C][C]-0.047486[/C][C]-0.4029[/C][C]0.344095[/C][/ROW]
[ROW][C]27[/C][C]0.026154[/C][C]0.2219[/C][C]0.412501[/C][/ROW]
[ROW][C]28[/C][C]0.124185[/C][C]1.0537[/C][C]0.147761[/C][/ROW]
[ROW][C]29[/C][C]0.058631[/C][C]0.4975[/C][C]0.310177[/C][/ROW]
[ROW][C]30[/C][C]-0.037403[/C][C]-0.3174[/C][C]0.375937[/C][/ROW]
[ROW][C]31[/C][C]0.018492[/C][C]0.1569[/C][C]0.437879[/C][/ROW]
[ROW][C]32[/C][C]-0.007666[/C][C]-0.065[/C][C]0.474158[/C][/ROW]
[ROW][C]33[/C][C]-0.081716[/C][C]-0.6934[/C][C]0.245151[/C][/ROW]
[ROW][C]34[/C][C]-0.014096[/C][C]-0.1196[/C][C]0.452564[/C][/ROW]
[ROW][C]35[/C][C]-0.01892[/C][C]-0.1605[/C][C]0.436453[/C][/ROW]
[ROW][C]36[/C][C]-0.01974[/C][C]-0.1675[/C][C]0.433724[/C][/ROW]
[ROW][C]37[/C][C]0.046193[/C][C]0.392[/C][C]0.348123[/C][/ROW]
[ROW][C]38[/C][C]0.000218[/C][C]0.0019[/C][C]0.499264[/C][/ROW]
[ROW][C]39[/C][C]0.025635[/C][C]0.2175[/C][C]0.414208[/C][/ROW]
[ROW][C]40[/C][C]-0.005549[/C][C]-0.0471[/C][C]0.481287[/C][/ROW]
[ROW][C]41[/C][C]-0.008521[/C][C]-0.0723[/C][C]0.471282[/C][/ROW]
[ROW][C]42[/C][C]-0.00648[/C][C]-0.055[/C][C]0.478153[/C][/ROW]
[ROW][C]43[/C][C]0.001687[/C][C]0.0143[/C][C]0.494308[/C][/ROW]
[ROW][C]44[/C][C]0.007951[/C][C]0.0675[/C][C]0.473197[/C][/ROW]
[ROW][C]45[/C][C]0.01203[/C][C]0.1021[/C][C]0.459489[/C][/ROW]
[ROW][C]46[/C][C]-0.003762[/C][C]-0.0319[/C][C]0.487312[/C][/ROW]
[ROW][C]47[/C][C]-0.009953[/C][C]-0.0845[/C][C]0.466465[/C][/ROW]
[ROW][C]48[/C][C]0.00259[/C][C]0.022[/C][C]0.491264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36552&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36552&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
1-0.36198-3.07150.001502
20.0469620.39850.345727
3-0.011467-0.09730.46138
4-0.136506-1.15830.125286
5-0.145063-1.23090.111183
6-0.003939-0.03340.486713
7-0.003878-0.03290.486921
80.0753350.63920.262348
90.073580.62430.267187
100.0082720.07020.472119
110.0113960.09670.461618
120.0195340.16570.43441
13-0.07223-0.61290.270939
14-0.007286-0.06180.475436
15-0.03969-0.33680.36863
160.0018420.01560.493787
170.0795090.67470.251028
18-0.043755-0.37130.355764
19-0.046867-0.39770.346021
200.0979470.83110.20433
210.043750.37120.355777
22-0.025888-0.21970.413377
23-0.032032-0.27180.393277
24-0.063931-0.54250.294585
25-0.023915-0.20290.419882
26-0.047486-0.40290.344095
270.0261540.22190.412501
280.1241851.05370.147761
290.0586310.49750.310177
30-0.037403-0.31740.375937
310.0184920.15690.437879
32-0.007666-0.0650.474158
33-0.081716-0.69340.245151
34-0.014096-0.11960.452564
35-0.01892-0.16050.436453
36-0.01974-0.16750.433724
370.0461930.3920.348123
380.0002180.00190.499264
390.0256350.21750.414208
40-0.005549-0.04710.481287
41-0.008521-0.07230.471282
42-0.00648-0.0550.478153
430.0016870.01430.494308
440.0079510.06750.473197
450.012030.10210.459489
46-0.003762-0.03190.487312
47-0.009953-0.08450.466465
480.002590.0220.491264







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.36198-3.07150.001502
2-0.096744-0.82090.207206
3-0.032343-0.27440.392265
4-0.171705-1.4570.074736
5-0.31072-2.63660.005126
6-0.255236-2.16570.016822
7-0.199369-1.69170.047513
8-0.111226-0.94380.174219
9-0.065993-0.560.288618
10-0.112102-0.95120.172338
11-0.122417-1.03870.151201
12-0.049561-0.42050.337672
13-0.068369-0.58010.28182
14-0.052584-0.44620.328398
15-0.091704-0.77810.21952
16-0.089424-0.75880.225227
170.0271030.230.40938
18-0.033426-0.28360.388754
19-0.165725-1.40620.08198
20-0.063523-0.5390.29577
210.0986160.83680.20274
220.1159720.98410.164192
230.0074790.06350.474786
24-0.113363-0.96190.169655
25-0.088799-0.75350.226808
26-0.087363-0.74130.230463
27-0.070213-0.59580.276596
280.0325070.27580.391734
290.0658460.55870.289043
30-0.027142-0.23030.409253
31-0.019948-0.16930.433031
320.0775460.6580.25632
330.0830530.70470.241627
340.0860860.73050.233738
350.0874020.74160.230362
360.0465890.39530.346887
370.0145180.12320.451151
38-0.034434-0.29220.385495
390.0065350.05550.477965
40-0.000349-0.0030.498823
41-0.051268-0.4350.332422
42-0.095913-0.81380.209208
43-0.097145-0.82430.206246
44-0.06767-0.57420.283811
45-0.052334-0.44410.329163
46-0.029653-0.25160.401028
47-0.004425-0.03750.485076
48-0.047058-0.39930.345426

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.36198 & -3.0715 & 0.001502 \tabularnewline
2 & -0.096744 & -0.8209 & 0.207206 \tabularnewline
3 & -0.032343 & -0.2744 & 0.392265 \tabularnewline
4 & -0.171705 & -1.457 & 0.074736 \tabularnewline
5 & -0.31072 & -2.6366 & 0.005126 \tabularnewline
6 & -0.255236 & -2.1657 & 0.016822 \tabularnewline
7 & -0.199369 & -1.6917 & 0.047513 \tabularnewline
8 & -0.111226 & -0.9438 & 0.174219 \tabularnewline
9 & -0.065993 & -0.56 & 0.288618 \tabularnewline
10 & -0.112102 & -0.9512 & 0.172338 \tabularnewline
11 & -0.122417 & -1.0387 & 0.151201 \tabularnewline
12 & -0.049561 & -0.4205 & 0.337672 \tabularnewline
13 & -0.068369 & -0.5801 & 0.28182 \tabularnewline
14 & -0.052584 & -0.4462 & 0.328398 \tabularnewline
15 & -0.091704 & -0.7781 & 0.21952 \tabularnewline
16 & -0.089424 & -0.7588 & 0.225227 \tabularnewline
17 & 0.027103 & 0.23 & 0.40938 \tabularnewline
18 & -0.033426 & -0.2836 & 0.388754 \tabularnewline
19 & -0.165725 & -1.4062 & 0.08198 \tabularnewline
20 & -0.063523 & -0.539 & 0.29577 \tabularnewline
21 & 0.098616 & 0.8368 & 0.20274 \tabularnewline
22 & 0.115972 & 0.9841 & 0.164192 \tabularnewline
23 & 0.007479 & 0.0635 & 0.474786 \tabularnewline
24 & -0.113363 & -0.9619 & 0.169655 \tabularnewline
25 & -0.088799 & -0.7535 & 0.226808 \tabularnewline
26 & -0.087363 & -0.7413 & 0.230463 \tabularnewline
27 & -0.070213 & -0.5958 & 0.276596 \tabularnewline
28 & 0.032507 & 0.2758 & 0.391734 \tabularnewline
29 & 0.065846 & 0.5587 & 0.289043 \tabularnewline
30 & -0.027142 & -0.2303 & 0.409253 \tabularnewline
31 & -0.019948 & -0.1693 & 0.433031 \tabularnewline
32 & 0.077546 & 0.658 & 0.25632 \tabularnewline
33 & 0.083053 & 0.7047 & 0.241627 \tabularnewline
34 & 0.086086 & 0.7305 & 0.233738 \tabularnewline
35 & 0.087402 & 0.7416 & 0.230362 \tabularnewline
36 & 0.046589 & 0.3953 & 0.346887 \tabularnewline
37 & 0.014518 & 0.1232 & 0.451151 \tabularnewline
38 & -0.034434 & -0.2922 & 0.385495 \tabularnewline
39 & 0.006535 & 0.0555 & 0.477965 \tabularnewline
40 & -0.000349 & -0.003 & 0.498823 \tabularnewline
41 & -0.051268 & -0.435 & 0.332422 \tabularnewline
42 & -0.095913 & -0.8138 & 0.209208 \tabularnewline
43 & -0.097145 & -0.8243 & 0.206246 \tabularnewline
44 & -0.06767 & -0.5742 & 0.283811 \tabularnewline
45 & -0.052334 & -0.4441 & 0.329163 \tabularnewline
46 & -0.029653 & -0.2516 & 0.401028 \tabularnewline
47 & -0.004425 & -0.0375 & 0.485076 \tabularnewline
48 & -0.047058 & -0.3993 & 0.345426 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36552&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]-0.36198[/C][C]-3.0715[/C][C]0.001502[/C][/ROW]
[ROW][C]2[/C][C]-0.096744[/C][C]-0.8209[/C][C]0.207206[/C][/ROW]
[ROW][C]3[/C][C]-0.032343[/C][C]-0.2744[/C][C]0.392265[/C][/ROW]
[ROW][C]4[/C][C]-0.171705[/C][C]-1.457[/C][C]0.074736[/C][/ROW]
[ROW][C]5[/C][C]-0.31072[/C][C]-2.6366[/C][C]0.005126[/C][/ROW]
[ROW][C]6[/C][C]-0.255236[/C][C]-2.1657[/C][C]0.016822[/C][/ROW]
[ROW][C]7[/C][C]-0.199369[/C][C]-1.6917[/C][C]0.047513[/C][/ROW]
[ROW][C]8[/C][C]-0.111226[/C][C]-0.9438[/C][C]0.174219[/C][/ROW]
[ROW][C]9[/C][C]-0.065993[/C][C]-0.56[/C][C]0.288618[/C][/ROW]
[ROW][C]10[/C][C]-0.112102[/C][C]-0.9512[/C][C]0.172338[/C][/ROW]
[ROW][C]11[/C][C]-0.122417[/C][C]-1.0387[/C][C]0.151201[/C][/ROW]
[ROW][C]12[/C][C]-0.049561[/C][C]-0.4205[/C][C]0.337672[/C][/ROW]
[ROW][C]13[/C][C]-0.068369[/C][C]-0.5801[/C][C]0.28182[/C][/ROW]
[ROW][C]14[/C][C]-0.052584[/C][C]-0.4462[/C][C]0.328398[/C][/ROW]
[ROW][C]15[/C][C]-0.091704[/C][C]-0.7781[/C][C]0.21952[/C][/ROW]
[ROW][C]16[/C][C]-0.089424[/C][C]-0.7588[/C][C]0.225227[/C][/ROW]
[ROW][C]17[/C][C]0.027103[/C][C]0.23[/C][C]0.40938[/C][/ROW]
[ROW][C]18[/C][C]-0.033426[/C][C]-0.2836[/C][C]0.388754[/C][/ROW]
[ROW][C]19[/C][C]-0.165725[/C][C]-1.4062[/C][C]0.08198[/C][/ROW]
[ROW][C]20[/C][C]-0.063523[/C][C]-0.539[/C][C]0.29577[/C][/ROW]
[ROW][C]21[/C][C]0.098616[/C][C]0.8368[/C][C]0.20274[/C][/ROW]
[ROW][C]22[/C][C]0.115972[/C][C]0.9841[/C][C]0.164192[/C][/ROW]
[ROW][C]23[/C][C]0.007479[/C][C]0.0635[/C][C]0.474786[/C][/ROW]
[ROW][C]24[/C][C]-0.113363[/C][C]-0.9619[/C][C]0.169655[/C][/ROW]
[ROW][C]25[/C][C]-0.088799[/C][C]-0.7535[/C][C]0.226808[/C][/ROW]
[ROW][C]26[/C][C]-0.087363[/C][C]-0.7413[/C][C]0.230463[/C][/ROW]
[ROW][C]27[/C][C]-0.070213[/C][C]-0.5958[/C][C]0.276596[/C][/ROW]
[ROW][C]28[/C][C]0.032507[/C][C]0.2758[/C][C]0.391734[/C][/ROW]
[ROW][C]29[/C][C]0.065846[/C][C]0.5587[/C][C]0.289043[/C][/ROW]
[ROW][C]30[/C][C]-0.027142[/C][C]-0.2303[/C][C]0.409253[/C][/ROW]
[ROW][C]31[/C][C]-0.019948[/C][C]-0.1693[/C][C]0.433031[/C][/ROW]
[ROW][C]32[/C][C]0.077546[/C][C]0.658[/C][C]0.25632[/C][/ROW]
[ROW][C]33[/C][C]0.083053[/C][C]0.7047[/C][C]0.241627[/C][/ROW]
[ROW][C]34[/C][C]0.086086[/C][C]0.7305[/C][C]0.233738[/C][/ROW]
[ROW][C]35[/C][C]0.087402[/C][C]0.7416[/C][C]0.230362[/C][/ROW]
[ROW][C]36[/C][C]0.046589[/C][C]0.3953[/C][C]0.346887[/C][/ROW]
[ROW][C]37[/C][C]0.014518[/C][C]0.1232[/C][C]0.451151[/C][/ROW]
[ROW][C]38[/C][C]-0.034434[/C][C]-0.2922[/C][C]0.385495[/C][/ROW]
[ROW][C]39[/C][C]0.006535[/C][C]0.0555[/C][C]0.477965[/C][/ROW]
[ROW][C]40[/C][C]-0.000349[/C][C]-0.003[/C][C]0.498823[/C][/ROW]
[ROW][C]41[/C][C]-0.051268[/C][C]-0.435[/C][C]0.332422[/C][/ROW]
[ROW][C]42[/C][C]-0.095913[/C][C]-0.8138[/C][C]0.209208[/C][/ROW]
[ROW][C]43[/C][C]-0.097145[/C][C]-0.8243[/C][C]0.206246[/C][/ROW]
[ROW][C]44[/C][C]-0.06767[/C][C]-0.5742[/C][C]0.283811[/C][/ROW]
[ROW][C]45[/C][C]-0.052334[/C][C]-0.4441[/C][C]0.329163[/C][/ROW]
[ROW][C]46[/C][C]-0.029653[/C][C]-0.2516[/C][C]0.401028[/C][/ROW]
[ROW][C]47[/C][C]-0.004425[/C][C]-0.0375[/C][C]0.485076[/C][/ROW]
[ROW][C]48[/C][C]-0.047058[/C][C]-0.3993[/C][C]0.345426[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36552&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36552&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
1-0.36198-3.07150.001502
2-0.096744-0.82090.207206
3-0.032343-0.27440.392265
4-0.171705-1.4570.074736
5-0.31072-2.63660.005126
6-0.255236-2.16570.016822
7-0.199369-1.69170.047513
8-0.111226-0.94380.174219
9-0.065993-0.560.288618
10-0.112102-0.95120.172338
11-0.122417-1.03870.151201
12-0.049561-0.42050.337672
13-0.068369-0.58010.28182
14-0.052584-0.44620.328398
15-0.091704-0.77810.21952
16-0.089424-0.75880.225227
170.0271030.230.40938
18-0.033426-0.28360.388754
19-0.165725-1.40620.08198
20-0.063523-0.5390.29577
210.0986160.83680.20274
220.1159720.98410.164192
230.0074790.06350.474786
24-0.113363-0.96190.169655
25-0.088799-0.75350.226808
26-0.087363-0.74130.230463
27-0.070213-0.59580.276596
280.0325070.27580.391734
290.0658460.55870.289043
30-0.027142-0.23030.409253
31-0.019948-0.16930.433031
320.0775460.6580.25632
330.0830530.70470.241627
340.0860860.73050.233738
350.0874020.74160.230362
360.0465890.39530.346887
370.0145180.12320.451151
38-0.034434-0.29220.385495
390.0065350.05550.477965
40-0.000349-0.0030.498823
41-0.051268-0.4350.332422
42-0.095913-0.81380.209208
43-0.097145-0.82430.206246
44-0.06767-0.57420.283811
45-0.052334-0.44410.329163
46-0.029653-0.25160.401028
47-0.004425-0.03750.485076
48-0.047058-0.39930.345426



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 2 ; par4 = 0 ; 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')