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 computationSun, 21 Dec 2008 05:34:50 -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/21/t1229862958yk0455s8b756jix.htm/, Retrieved Sat, 18 May 2024 13:18:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35533, Retrieved Sat, 18 May 2024 13:18:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid - Jo...] [2008-12-14 16:04:23] [44ec60eb6065a3f81a5f756bd5af1faf]
- RMPD  [(Partial) Autocorrelation Function] [Werkloosheid - Jo...] [2008-12-21 11:28:19] [44ec60eb6065a3f81a5f756bd5af1faf]
-           [(Partial) Autocorrelation Function] [Werkloosheid - Jo...] [2008-12-21 12:34:50] [924502d03698cd41cacbcd1327858815] [Current]
- RM          [Standard Deviation-Mean Plot] [Werkloosheid - Jo...] [2008-12-21 12:53:05] [44ec60eb6065a3f81a5f756bd5af1faf]
Feedback Forum

Post a new message
Dataseries X:
21.1
21
20.4
19.5
18.6
18.8
23.7
24.8
25
23.6
22.3
21.8
20.8
19.7
18.3
17.4
17
18.1
23.9
25.6
25.3
23.6
21.9
21.4
20.6
20.5
20.2
20.6
19.7
19.3
22.8
23.5
23.8
22.6
22
21.7
20.7
20.2
19.1
19.5
18.7
18.6
22.2
23.2
23.5
21.3
20
18.7
18.9
18.3
18.4
19.9
19.2
18.5
20.9
20.5
19.4
18.1
17
17




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=35533&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=35533&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35533&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
1-0.081504-0.55280.291542
20.1825341.2380.110998
3-0.326699-2.21580.015847
4-0.311639-2.11360.02
5-0.211215-1.43250.079376
6-0.105494-0.71550.238959
70.2516271.70660.047318
80.0514610.3490.364332
90.4285612.90660.002802
10-0.098683-0.66930.253324
110.0082490.05590.477813
12-0.238232-1.61580.056492
13-0.228621-1.55060.063927
14-0.008779-0.05950.47639
15-0.037309-0.2530.400682
160.2909041.9730.027261
170.1576361.06910.145293
180.0420770.28540.388318
19-0.042758-0.290.386561
20-0.207204-1.40530.083321
21-0.099213-0.67290.25219
22-0.176631-1.1980.118533
230.1229760.83410.204278
240.0336010.22790.41037
250.2803841.90170.031745
260.0672010.45580.325345
27-0.016422-0.11140.4559
28-0.132133-0.89620.187415
29-0.14689-0.99630.162169
30-0.051915-0.35210.363185
31-0.05638-0.38240.351968
320.0958070.64980.259527
330.0719690.48810.313892
340.0700770.47530.318416
350.0121840.08260.46725
360.0101410.06880.472732
37-0.127214-0.86280.196361
38-0.026184-0.17760.429912
39-0.054109-0.3670.357656
400.0045410.03080.487783
410.0188440.12780.449431
420.0517630.35110.363567
430.0074920.05080.479847
440.0204330.13860.445192
450.0047680.03230.487172
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.081504 & -0.5528 & 0.291542 \tabularnewline
2 & 0.182534 & 1.238 & 0.110998 \tabularnewline
3 & -0.326699 & -2.2158 & 0.015847 \tabularnewline
4 & -0.311639 & -2.1136 & 0.02 \tabularnewline
5 & -0.211215 & -1.4325 & 0.079376 \tabularnewline
6 & -0.105494 & -0.7155 & 0.238959 \tabularnewline
7 & 0.251627 & 1.7066 & 0.047318 \tabularnewline
8 & 0.051461 & 0.349 & 0.364332 \tabularnewline
9 & 0.428561 & 2.9066 & 0.002802 \tabularnewline
10 & -0.098683 & -0.6693 & 0.253324 \tabularnewline
11 & 0.008249 & 0.0559 & 0.477813 \tabularnewline
12 & -0.238232 & -1.6158 & 0.056492 \tabularnewline
13 & -0.228621 & -1.5506 & 0.063927 \tabularnewline
14 & -0.008779 & -0.0595 & 0.47639 \tabularnewline
15 & -0.037309 & -0.253 & 0.400682 \tabularnewline
16 & 0.290904 & 1.973 & 0.027261 \tabularnewline
17 & 0.157636 & 1.0691 & 0.145293 \tabularnewline
18 & 0.042077 & 0.2854 & 0.388318 \tabularnewline
19 & -0.042758 & -0.29 & 0.386561 \tabularnewline
20 & -0.207204 & -1.4053 & 0.083321 \tabularnewline
21 & -0.099213 & -0.6729 & 0.25219 \tabularnewline
22 & -0.176631 & -1.198 & 0.118533 \tabularnewline
23 & 0.122976 & 0.8341 & 0.204278 \tabularnewline
24 & 0.033601 & 0.2279 & 0.41037 \tabularnewline
25 & 0.280384 & 1.9017 & 0.031745 \tabularnewline
26 & 0.067201 & 0.4558 & 0.325345 \tabularnewline
27 & -0.016422 & -0.1114 & 0.4559 \tabularnewline
28 & -0.132133 & -0.8962 & 0.187415 \tabularnewline
29 & -0.14689 & -0.9963 & 0.162169 \tabularnewline
30 & -0.051915 & -0.3521 & 0.363185 \tabularnewline
31 & -0.05638 & -0.3824 & 0.351968 \tabularnewline
32 & 0.095807 & 0.6498 & 0.259527 \tabularnewline
33 & 0.071969 & 0.4881 & 0.313892 \tabularnewline
34 & 0.070077 & 0.4753 & 0.318416 \tabularnewline
35 & 0.012184 & 0.0826 & 0.46725 \tabularnewline
36 & 0.010141 & 0.0688 & 0.472732 \tabularnewline
37 & -0.127214 & -0.8628 & 0.196361 \tabularnewline
38 & -0.026184 & -0.1776 & 0.429912 \tabularnewline
39 & -0.054109 & -0.367 & 0.357656 \tabularnewline
40 & 0.004541 & 0.0308 & 0.487783 \tabularnewline
41 & 0.018844 & 0.1278 & 0.449431 \tabularnewline
42 & 0.051763 & 0.3511 & 0.363567 \tabularnewline
43 & 0.007492 & 0.0508 & 0.479847 \tabularnewline
44 & 0.020433 & 0.1386 & 0.445192 \tabularnewline
45 & 0.004768 & 0.0323 & 0.487172 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35533&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]-0.081504[/C][C]-0.5528[/C][C]0.291542[/C][/ROW]
[ROW][C]2[/C][C]0.182534[/C][C]1.238[/C][C]0.110998[/C][/ROW]
[ROW][C]3[/C][C]-0.326699[/C][C]-2.2158[/C][C]0.015847[/C][/ROW]
[ROW][C]4[/C][C]-0.311639[/C][C]-2.1136[/C][C]0.02[/C][/ROW]
[ROW][C]5[/C][C]-0.211215[/C][C]-1.4325[/C][C]0.079376[/C][/ROW]
[ROW][C]6[/C][C]-0.105494[/C][C]-0.7155[/C][C]0.238959[/C][/ROW]
[ROW][C]7[/C][C]0.251627[/C][C]1.7066[/C][C]0.047318[/C][/ROW]
[ROW][C]8[/C][C]0.051461[/C][C]0.349[/C][C]0.364332[/C][/ROW]
[ROW][C]9[/C][C]0.428561[/C][C]2.9066[/C][C]0.002802[/C][/ROW]
[ROW][C]10[/C][C]-0.098683[/C][C]-0.6693[/C][C]0.253324[/C][/ROW]
[ROW][C]11[/C][C]0.008249[/C][C]0.0559[/C][C]0.477813[/C][/ROW]
[ROW][C]12[/C][C]-0.238232[/C][C]-1.6158[/C][C]0.056492[/C][/ROW]
[ROW][C]13[/C][C]-0.228621[/C][C]-1.5506[/C][C]0.063927[/C][/ROW]
[ROW][C]14[/C][C]-0.008779[/C][C]-0.0595[/C][C]0.47639[/C][/ROW]
[ROW][C]15[/C][C]-0.037309[/C][C]-0.253[/C][C]0.400682[/C][/ROW]
[ROW][C]16[/C][C]0.290904[/C][C]1.973[/C][C]0.027261[/C][/ROW]
[ROW][C]17[/C][C]0.157636[/C][C]1.0691[/C][C]0.145293[/C][/ROW]
[ROW][C]18[/C][C]0.042077[/C][C]0.2854[/C][C]0.388318[/C][/ROW]
[ROW][C]19[/C][C]-0.042758[/C][C]-0.29[/C][C]0.386561[/C][/ROW]
[ROW][C]20[/C][C]-0.207204[/C][C]-1.4053[/C][C]0.083321[/C][/ROW]
[ROW][C]21[/C][C]-0.099213[/C][C]-0.6729[/C][C]0.25219[/C][/ROW]
[ROW][C]22[/C][C]-0.176631[/C][C]-1.198[/C][C]0.118533[/C][/ROW]
[ROW][C]23[/C][C]0.122976[/C][C]0.8341[/C][C]0.204278[/C][/ROW]
[ROW][C]24[/C][C]0.033601[/C][C]0.2279[/C][C]0.41037[/C][/ROW]
[ROW][C]25[/C][C]0.280384[/C][C]1.9017[/C][C]0.031745[/C][/ROW]
[ROW][C]26[/C][C]0.067201[/C][C]0.4558[/C][C]0.325345[/C][/ROW]
[ROW][C]27[/C][C]-0.016422[/C][C]-0.1114[/C][C]0.4559[/C][/ROW]
[ROW][C]28[/C][C]-0.132133[/C][C]-0.8962[/C][C]0.187415[/C][/ROW]
[ROW][C]29[/C][C]-0.14689[/C][C]-0.9963[/C][C]0.162169[/C][/ROW]
[ROW][C]30[/C][C]-0.051915[/C][C]-0.3521[/C][C]0.363185[/C][/ROW]
[ROW][C]31[/C][C]-0.05638[/C][C]-0.3824[/C][C]0.351968[/C][/ROW]
[ROW][C]32[/C][C]0.095807[/C][C]0.6498[/C][C]0.259527[/C][/ROW]
[ROW][C]33[/C][C]0.071969[/C][C]0.4881[/C][C]0.313892[/C][/ROW]
[ROW][C]34[/C][C]0.070077[/C][C]0.4753[/C][C]0.318416[/C][/ROW]
[ROW][C]35[/C][C]0.012184[/C][C]0.0826[/C][C]0.46725[/C][/ROW]
[ROW][C]36[/C][C]0.010141[/C][C]0.0688[/C][C]0.472732[/C][/ROW]
[ROW][C]37[/C][C]-0.127214[/C][C]-0.8628[/C][C]0.196361[/C][/ROW]
[ROW][C]38[/C][C]-0.026184[/C][C]-0.1776[/C][C]0.429912[/C][/ROW]
[ROW][C]39[/C][C]-0.054109[/C][C]-0.367[/C][C]0.357656[/C][/ROW]
[ROW][C]40[/C][C]0.004541[/C][C]0.0308[/C][C]0.487783[/C][/ROW]
[ROW][C]41[/C][C]0.018844[/C][C]0.1278[/C][C]0.449431[/C][/ROW]
[ROW][C]42[/C][C]0.051763[/C][C]0.3511[/C][C]0.363567[/C][/ROW]
[ROW][C]43[/C][C]0.007492[/C][C]0.0508[/C][C]0.479847[/C][/ROW]
[ROW][C]44[/C][C]0.020433[/C][C]0.1386[/C][C]0.445192[/C][/ROW]
[ROW][C]45[/C][C]0.004768[/C][C]0.0323[/C][C]0.487172[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35533&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35533&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
1-0.081504-0.55280.291542
20.1825341.2380.110998
3-0.326699-2.21580.015847
4-0.311639-2.11360.02
5-0.211215-1.43250.079376
6-0.105494-0.71550.238959
70.2516271.70660.047318
80.0514610.3490.364332
90.4285612.90660.002802
10-0.098683-0.66930.253324
110.0082490.05590.477813
12-0.238232-1.61580.056492
13-0.228621-1.55060.063927
14-0.008779-0.05950.47639
15-0.037309-0.2530.400682
160.2909041.9730.027261
170.1576361.06910.145293
180.0420770.28540.388318
19-0.042758-0.290.386561
20-0.207204-1.40530.083321
21-0.099213-0.67290.25219
22-0.176631-1.1980.118533
230.1229760.83410.204278
240.0336010.22790.41037
250.2803841.90170.031745
260.0672010.45580.325345
27-0.016422-0.11140.4559
28-0.132133-0.89620.187415
29-0.14689-0.99630.162169
30-0.051915-0.35210.363185
31-0.05638-0.38240.351968
320.0958070.64980.259527
330.0719690.48810.313892
340.0700770.47530.318416
350.0121840.08260.46725
360.0101410.06880.472732
37-0.127214-0.86280.196361
38-0.026184-0.17760.429912
39-0.054109-0.3670.357656
400.0045410.03080.487783
410.0188440.12780.449431
420.0517630.35110.363567
430.0074920.05080.479847
440.0204330.13860.445192
450.0047680.03230.487172
46NANANA
47NANANA
48NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.081504-0.55280.291542
20.1770671.20090.117964
3-0.311807-2.11480.019949
4-0.425287-2.88440.002974
5-0.225358-1.52850.066624
6-0.194059-1.31620.097319
70.0452610.3070.380124
8-0.179813-1.21960.114426
90.1922631.3040.099362
10-0.020535-0.13930.444921
11-0.06543-0.44380.329647
12-0.023061-0.15640.438199
13-0.112832-0.76530.224012
140.0218920.14850.441306
15-0.059299-0.40220.344706
160.036020.24430.404042
170.1904881.2920.101413
18-0.196046-1.32960.095095
190.0125430.08510.466287
20-0.029946-0.20310.419974
21-3e-05-2e-040.499919
22-0.09343-0.63370.264717
23-0.0807-0.54730.293399
24-0.008133-0.05520.478125
250.0927510.62910.266208
26-0.056501-0.38320.351666
270.0266870.1810.42858
28-0.107521-0.72920.234775
290.1301650.88280.190961
300.0264350.17930.429249
31-0.045438-0.30820.37967
32-0.070231-0.47630.318046
33-0.038104-0.25840.398612
34-0.099239-0.67310.252134
35-0.024454-0.16590.434498
360.0146050.09910.460761
37-0.061437-0.41670.339423
38-0.057002-0.38660.350415
39-0.000376-0.00250.498989
40-0.080417-0.54540.294051
41-0.123414-0.8370.203451
42-0.153837-1.04340.151114
43-0.037933-0.25730.399056
44-0.02677-0.18160.428362
45-0.060393-0.40960.341997
46NANANA
47NANANA
48NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.081504 & -0.5528 & 0.291542 \tabularnewline
2 & 0.177067 & 1.2009 & 0.117964 \tabularnewline
3 & -0.311807 & -2.1148 & 0.019949 \tabularnewline
4 & -0.425287 & -2.8844 & 0.002974 \tabularnewline
5 & -0.225358 & -1.5285 & 0.066624 \tabularnewline
6 & -0.194059 & -1.3162 & 0.097319 \tabularnewline
7 & 0.045261 & 0.307 & 0.380124 \tabularnewline
8 & -0.179813 & -1.2196 & 0.114426 \tabularnewline
9 & 0.192263 & 1.304 & 0.099362 \tabularnewline
10 & -0.020535 & -0.1393 & 0.444921 \tabularnewline
11 & -0.06543 & -0.4438 & 0.329647 \tabularnewline
12 & -0.023061 & -0.1564 & 0.438199 \tabularnewline
13 & -0.112832 & -0.7653 & 0.224012 \tabularnewline
14 & 0.021892 & 0.1485 & 0.441306 \tabularnewline
15 & -0.059299 & -0.4022 & 0.344706 \tabularnewline
16 & 0.03602 & 0.2443 & 0.404042 \tabularnewline
17 & 0.190488 & 1.292 & 0.101413 \tabularnewline
18 & -0.196046 & -1.3296 & 0.095095 \tabularnewline
19 & 0.012543 & 0.0851 & 0.466287 \tabularnewline
20 & -0.029946 & -0.2031 & 0.419974 \tabularnewline
21 & -3e-05 & -2e-04 & 0.499919 \tabularnewline
22 & -0.09343 & -0.6337 & 0.264717 \tabularnewline
23 & -0.0807 & -0.5473 & 0.293399 \tabularnewline
24 & -0.008133 & -0.0552 & 0.478125 \tabularnewline
25 & 0.092751 & 0.6291 & 0.266208 \tabularnewline
26 & -0.056501 & -0.3832 & 0.351666 \tabularnewline
27 & 0.026687 & 0.181 & 0.42858 \tabularnewline
28 & -0.107521 & -0.7292 & 0.234775 \tabularnewline
29 & 0.130165 & 0.8828 & 0.190961 \tabularnewline
30 & 0.026435 & 0.1793 & 0.429249 \tabularnewline
31 & -0.045438 & -0.3082 & 0.37967 \tabularnewline
32 & -0.070231 & -0.4763 & 0.318046 \tabularnewline
33 & -0.038104 & -0.2584 & 0.398612 \tabularnewline
34 & -0.099239 & -0.6731 & 0.252134 \tabularnewline
35 & -0.024454 & -0.1659 & 0.434498 \tabularnewline
36 & 0.014605 & 0.0991 & 0.460761 \tabularnewline
37 & -0.061437 & -0.4167 & 0.339423 \tabularnewline
38 & -0.057002 & -0.3866 & 0.350415 \tabularnewline
39 & -0.000376 & -0.0025 & 0.498989 \tabularnewline
40 & -0.080417 & -0.5454 & 0.294051 \tabularnewline
41 & -0.123414 & -0.837 & 0.203451 \tabularnewline
42 & -0.153837 & -1.0434 & 0.151114 \tabularnewline
43 & -0.037933 & -0.2573 & 0.399056 \tabularnewline
44 & -0.02677 & -0.1816 & 0.428362 \tabularnewline
45 & -0.060393 & -0.4096 & 0.341997 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35533&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]-0.081504[/C][C]-0.5528[/C][C]0.291542[/C][/ROW]
[ROW][C]2[/C][C]0.177067[/C][C]1.2009[/C][C]0.117964[/C][/ROW]
[ROW][C]3[/C][C]-0.311807[/C][C]-2.1148[/C][C]0.019949[/C][/ROW]
[ROW][C]4[/C][C]-0.425287[/C][C]-2.8844[/C][C]0.002974[/C][/ROW]
[ROW][C]5[/C][C]-0.225358[/C][C]-1.5285[/C][C]0.066624[/C][/ROW]
[ROW][C]6[/C][C]-0.194059[/C][C]-1.3162[/C][C]0.097319[/C][/ROW]
[ROW][C]7[/C][C]0.045261[/C][C]0.307[/C][C]0.380124[/C][/ROW]
[ROW][C]8[/C][C]-0.179813[/C][C]-1.2196[/C][C]0.114426[/C][/ROW]
[ROW][C]9[/C][C]0.192263[/C][C]1.304[/C][C]0.099362[/C][/ROW]
[ROW][C]10[/C][C]-0.020535[/C][C]-0.1393[/C][C]0.444921[/C][/ROW]
[ROW][C]11[/C][C]-0.06543[/C][C]-0.4438[/C][C]0.329647[/C][/ROW]
[ROW][C]12[/C][C]-0.023061[/C][C]-0.1564[/C][C]0.438199[/C][/ROW]
[ROW][C]13[/C][C]-0.112832[/C][C]-0.7653[/C][C]0.224012[/C][/ROW]
[ROW][C]14[/C][C]0.021892[/C][C]0.1485[/C][C]0.441306[/C][/ROW]
[ROW][C]15[/C][C]-0.059299[/C][C]-0.4022[/C][C]0.344706[/C][/ROW]
[ROW][C]16[/C][C]0.03602[/C][C]0.2443[/C][C]0.404042[/C][/ROW]
[ROW][C]17[/C][C]0.190488[/C][C]1.292[/C][C]0.101413[/C][/ROW]
[ROW][C]18[/C][C]-0.196046[/C][C]-1.3296[/C][C]0.095095[/C][/ROW]
[ROW][C]19[/C][C]0.012543[/C][C]0.0851[/C][C]0.466287[/C][/ROW]
[ROW][C]20[/C][C]-0.029946[/C][C]-0.2031[/C][C]0.419974[/C][/ROW]
[ROW][C]21[/C][C]-3e-05[/C][C]-2e-04[/C][C]0.499919[/C][/ROW]
[ROW][C]22[/C][C]-0.09343[/C][C]-0.6337[/C][C]0.264717[/C][/ROW]
[ROW][C]23[/C][C]-0.0807[/C][C]-0.5473[/C][C]0.293399[/C][/ROW]
[ROW][C]24[/C][C]-0.008133[/C][C]-0.0552[/C][C]0.478125[/C][/ROW]
[ROW][C]25[/C][C]0.092751[/C][C]0.6291[/C][C]0.266208[/C][/ROW]
[ROW][C]26[/C][C]-0.056501[/C][C]-0.3832[/C][C]0.351666[/C][/ROW]
[ROW][C]27[/C][C]0.026687[/C][C]0.181[/C][C]0.42858[/C][/ROW]
[ROW][C]28[/C][C]-0.107521[/C][C]-0.7292[/C][C]0.234775[/C][/ROW]
[ROW][C]29[/C][C]0.130165[/C][C]0.8828[/C][C]0.190961[/C][/ROW]
[ROW][C]30[/C][C]0.026435[/C][C]0.1793[/C][C]0.429249[/C][/ROW]
[ROW][C]31[/C][C]-0.045438[/C][C]-0.3082[/C][C]0.37967[/C][/ROW]
[ROW][C]32[/C][C]-0.070231[/C][C]-0.4763[/C][C]0.318046[/C][/ROW]
[ROW][C]33[/C][C]-0.038104[/C][C]-0.2584[/C][C]0.398612[/C][/ROW]
[ROW][C]34[/C][C]-0.099239[/C][C]-0.6731[/C][C]0.252134[/C][/ROW]
[ROW][C]35[/C][C]-0.024454[/C][C]-0.1659[/C][C]0.434498[/C][/ROW]
[ROW][C]36[/C][C]0.014605[/C][C]0.0991[/C][C]0.460761[/C][/ROW]
[ROW][C]37[/C][C]-0.061437[/C][C]-0.4167[/C][C]0.339423[/C][/ROW]
[ROW][C]38[/C][C]-0.057002[/C][C]-0.3866[/C][C]0.350415[/C][/ROW]
[ROW][C]39[/C][C]-0.000376[/C][C]-0.0025[/C][C]0.498989[/C][/ROW]
[ROW][C]40[/C][C]-0.080417[/C][C]-0.5454[/C][C]0.294051[/C][/ROW]
[ROW][C]41[/C][C]-0.123414[/C][C]-0.837[/C][C]0.203451[/C][/ROW]
[ROW][C]42[/C][C]-0.153837[/C][C]-1.0434[/C][C]0.151114[/C][/ROW]
[ROW][C]43[/C][C]-0.037933[/C][C]-0.2573[/C][C]0.399056[/C][/ROW]
[ROW][C]44[/C][C]-0.02677[/C][C]-0.1816[/C][C]0.428362[/C][/ROW]
[ROW][C]45[/C][C]-0.060393[/C][C]-0.4096[/C][C]0.341997[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35533&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35533&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
1-0.081504-0.55280.291542
20.1770671.20090.117964
3-0.311807-2.11480.019949
4-0.425287-2.88440.002974
5-0.225358-1.52850.066624
6-0.194059-1.31620.097319
70.0452610.3070.380124
8-0.179813-1.21960.114426
90.1922631.3040.099362
10-0.020535-0.13930.444921
11-0.06543-0.44380.329647
12-0.023061-0.15640.438199
13-0.112832-0.76530.224012
140.0218920.14850.441306
15-0.059299-0.40220.344706
160.036020.24430.404042
170.1904881.2920.101413
18-0.196046-1.32960.095095
190.0125430.08510.466287
20-0.029946-0.20310.419974
21-3e-05-2e-040.499919
22-0.09343-0.63370.264717
23-0.0807-0.54730.293399
24-0.008133-0.05520.478125
250.0927510.62910.266208
26-0.056501-0.38320.351666
270.0266870.1810.42858
28-0.107521-0.72920.234775
290.1301650.88280.190961
300.0264350.17930.429249
31-0.045438-0.30820.37967
32-0.070231-0.47630.318046
33-0.038104-0.25840.398612
34-0.099239-0.67310.252134
35-0.024454-0.16590.434498
360.0146050.09910.460761
37-0.061437-0.41670.339423
38-0.057002-0.38660.350415
39-0.000376-0.00250.498989
40-0.080417-0.54540.294051
41-0.123414-0.8370.203451
42-0.153837-1.04340.151114
43-0.037933-0.25730.399056
44-0.02677-0.18160.428362
45-0.060393-0.40960.341997
46NANANA
47NANANA
48NANANA



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