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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 05 Dec 2007 11:03:45 -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/2007/Dec/05/t1196877071kjq2amlwasicuoz.htm/, Retrieved Fri, 03 May 2024 01:32:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2496, Retrieved Fri, 03 May 2024 01:32:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact242
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 5 ACF PA...] [2007-12-05 18:03:45] [44cf2be50bc8700e14714598feda9df9] [Current]
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Dataseries X:
15761,3
16943,0
15070,3
13659,6
14768,9
14725,1
15998,1
15370,6
14956,9
15469,7
15101,8
11703,7
16283,6
16726,5
14968,9
14861,0
14583,3
15305,8
17903,9
16379,4
15420,3
17870,5
15912,8
13866,5
17823,2
17872,0
17420,4
16704,4
15991,2
16583,6
19123,5
17838,7
17209,4
18586,5
16258,1
15141,6
19202,1
17746,5
19090,1
18040,3
17515,5
17751,8
21072,4
17170,0
19439,5
19795,4
17574,9
16165,4
19464,6
19932,1
19961,2
17343,4
18924,2
18574,1
21350,6
18840,1
20304,8
21132,4
19753,9
18009,9
20390,4




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2496&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2496&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2496&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0170
1-0.070736-0.49510.688646
20.0518010.36260.359228
30.3266972.28690.013281
4-0.015076-0.10550.541807
5-0.023598-0.16520.565262
60.0797470.55820.289614
7-0.278331-1.94830.971442
80.0160730.11250.455438
9-0.037029-0.25920.601719
10-0.159966-1.11980.865863
11-0.096602-0.67620.748958
12-0.184461-1.29120.898659
13-0.069075-0.48350.684562
140.0678230.47480.318534
15-0.097542-0.68280.751025
16-0.168631-1.18040.878233
170.1766171.23630.111117
180.0521230.36490.358394
19-0.054087-0.37860.646693
200.0286690.20070.420889
210.1225890.85810.197501
22-0.199351-1.39550.915415
230.1597181.1180.134503
24-0.085576-0.5990.724044
25-0.200949-1.40660.917077
260.0426790.29880.383196
27-0.041424-0.290.613468
28-0.107508-0.75260.772341
290.0488970.34230.366803
30-0.108177-0.75720.773734
310.1098060.76860.222896
320.0538040.37660.354039
33-0.115912-0.81140.789466
340.1545731.0820.142272
350.0901840.63130.265394
36-0.030907-0.21630.585192
370.139220.97450.167287
380.1063190.74420.230146
39-0.008558-0.05990.523764
400.0828410.57990.282324
410.0122180.08550.466094
42-0.062895-0.44030.66916
43-0.034577-0.2420.595121
44-0.038383-0.26870.605349
45-0.084289-0.590.721056
46-0.046944-0.32860.628075
47-0.005879-0.04110.516328

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7 & 0 \tabularnewline
1 & -0.070736 & -0.4951 & 0.688646 \tabularnewline
2 & 0.051801 & 0.3626 & 0.359228 \tabularnewline
3 & 0.326697 & 2.2869 & 0.013281 \tabularnewline
4 & -0.015076 & -0.1055 & 0.541807 \tabularnewline
5 & -0.023598 & -0.1652 & 0.565262 \tabularnewline
6 & 0.079747 & 0.5582 & 0.289614 \tabularnewline
7 & -0.278331 & -1.9483 & 0.971442 \tabularnewline
8 & 0.016073 & 0.1125 & 0.455438 \tabularnewline
9 & -0.037029 & -0.2592 & 0.601719 \tabularnewline
10 & -0.159966 & -1.1198 & 0.865863 \tabularnewline
11 & -0.096602 & -0.6762 & 0.748958 \tabularnewline
12 & -0.184461 & -1.2912 & 0.898659 \tabularnewline
13 & -0.069075 & -0.4835 & 0.684562 \tabularnewline
14 & 0.067823 & 0.4748 & 0.318534 \tabularnewline
15 & -0.097542 & -0.6828 & 0.751025 \tabularnewline
16 & -0.168631 & -1.1804 & 0.878233 \tabularnewline
17 & 0.176617 & 1.2363 & 0.111117 \tabularnewline
18 & 0.052123 & 0.3649 & 0.358394 \tabularnewline
19 & -0.054087 & -0.3786 & 0.646693 \tabularnewline
20 & 0.028669 & 0.2007 & 0.420889 \tabularnewline
21 & 0.122589 & 0.8581 & 0.197501 \tabularnewline
22 & -0.199351 & -1.3955 & 0.915415 \tabularnewline
23 & 0.159718 & 1.118 & 0.134503 \tabularnewline
24 & -0.085576 & -0.599 & 0.724044 \tabularnewline
25 & -0.200949 & -1.4066 & 0.917077 \tabularnewline
26 & 0.042679 & 0.2988 & 0.383196 \tabularnewline
27 & -0.041424 & -0.29 & 0.613468 \tabularnewline
28 & -0.107508 & -0.7526 & 0.772341 \tabularnewline
29 & 0.048897 & 0.3423 & 0.366803 \tabularnewline
30 & -0.108177 & -0.7572 & 0.773734 \tabularnewline
31 & 0.109806 & 0.7686 & 0.222896 \tabularnewline
32 & 0.053804 & 0.3766 & 0.354039 \tabularnewline
33 & -0.115912 & -0.8114 & 0.789466 \tabularnewline
34 & 0.154573 & 1.082 & 0.142272 \tabularnewline
35 & 0.090184 & 0.6313 & 0.265394 \tabularnewline
36 & -0.030907 & -0.2163 & 0.585192 \tabularnewline
37 & 0.13922 & 0.9745 & 0.167287 \tabularnewline
38 & 0.106319 & 0.7442 & 0.230146 \tabularnewline
39 & -0.008558 & -0.0599 & 0.523764 \tabularnewline
40 & 0.082841 & 0.5799 & 0.282324 \tabularnewline
41 & 0.012218 & 0.0855 & 0.466094 \tabularnewline
42 & -0.062895 & -0.4403 & 0.66916 \tabularnewline
43 & -0.034577 & -0.242 & 0.595121 \tabularnewline
44 & -0.038383 & -0.2687 & 0.605349 \tabularnewline
45 & -0.084289 & -0.59 & 0.721056 \tabularnewline
46 & -0.046944 & -0.3286 & 0.628075 \tabularnewline
47 & -0.005879 & -0.0411 & 0.516328 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2496&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]0[/C][C]1[/C][C]7[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.070736[/C][C]-0.4951[/C][C]0.688646[/C][/ROW]
[ROW][C]2[/C][C]0.051801[/C][C]0.3626[/C][C]0.359228[/C][/ROW]
[ROW][C]3[/C][C]0.326697[/C][C]2.2869[/C][C]0.013281[/C][/ROW]
[ROW][C]4[/C][C]-0.015076[/C][C]-0.1055[/C][C]0.541807[/C][/ROW]
[ROW][C]5[/C][C]-0.023598[/C][C]-0.1652[/C][C]0.565262[/C][/ROW]
[ROW][C]6[/C][C]0.079747[/C][C]0.5582[/C][C]0.289614[/C][/ROW]
[ROW][C]7[/C][C]-0.278331[/C][C]-1.9483[/C][C]0.971442[/C][/ROW]
[ROW][C]8[/C][C]0.016073[/C][C]0.1125[/C][C]0.455438[/C][/ROW]
[ROW][C]9[/C][C]-0.037029[/C][C]-0.2592[/C][C]0.601719[/C][/ROW]
[ROW][C]10[/C][C]-0.159966[/C][C]-1.1198[/C][C]0.865863[/C][/ROW]
[ROW][C]11[/C][C]-0.096602[/C][C]-0.6762[/C][C]0.748958[/C][/ROW]
[ROW][C]12[/C][C]-0.184461[/C][C]-1.2912[/C][C]0.898659[/C][/ROW]
[ROW][C]13[/C][C]-0.069075[/C][C]-0.4835[/C][C]0.684562[/C][/ROW]
[ROW][C]14[/C][C]0.067823[/C][C]0.4748[/C][C]0.318534[/C][/ROW]
[ROW][C]15[/C][C]-0.097542[/C][C]-0.6828[/C][C]0.751025[/C][/ROW]
[ROW][C]16[/C][C]-0.168631[/C][C]-1.1804[/C][C]0.878233[/C][/ROW]
[ROW][C]17[/C][C]0.176617[/C][C]1.2363[/C][C]0.111117[/C][/ROW]
[ROW][C]18[/C][C]0.052123[/C][C]0.3649[/C][C]0.358394[/C][/ROW]
[ROW][C]19[/C][C]-0.054087[/C][C]-0.3786[/C][C]0.646693[/C][/ROW]
[ROW][C]20[/C][C]0.028669[/C][C]0.2007[/C][C]0.420889[/C][/ROW]
[ROW][C]21[/C][C]0.122589[/C][C]0.8581[/C][C]0.197501[/C][/ROW]
[ROW][C]22[/C][C]-0.199351[/C][C]-1.3955[/C][C]0.915415[/C][/ROW]
[ROW][C]23[/C][C]0.159718[/C][C]1.118[/C][C]0.134503[/C][/ROW]
[ROW][C]24[/C][C]-0.085576[/C][C]-0.599[/C][C]0.724044[/C][/ROW]
[ROW][C]25[/C][C]-0.200949[/C][C]-1.4066[/C][C]0.917077[/C][/ROW]
[ROW][C]26[/C][C]0.042679[/C][C]0.2988[/C][C]0.383196[/C][/ROW]
[ROW][C]27[/C][C]-0.041424[/C][C]-0.29[/C][C]0.613468[/C][/ROW]
[ROW][C]28[/C][C]-0.107508[/C][C]-0.7526[/C][C]0.772341[/C][/ROW]
[ROW][C]29[/C][C]0.048897[/C][C]0.3423[/C][C]0.366803[/C][/ROW]
[ROW][C]30[/C][C]-0.108177[/C][C]-0.7572[/C][C]0.773734[/C][/ROW]
[ROW][C]31[/C][C]0.109806[/C][C]0.7686[/C][C]0.222896[/C][/ROW]
[ROW][C]32[/C][C]0.053804[/C][C]0.3766[/C][C]0.354039[/C][/ROW]
[ROW][C]33[/C][C]-0.115912[/C][C]-0.8114[/C][C]0.789466[/C][/ROW]
[ROW][C]34[/C][C]0.154573[/C][C]1.082[/C][C]0.142272[/C][/ROW]
[ROW][C]35[/C][C]0.090184[/C][C]0.6313[/C][C]0.265394[/C][/ROW]
[ROW][C]36[/C][C]-0.030907[/C][C]-0.2163[/C][C]0.585192[/C][/ROW]
[ROW][C]37[/C][C]0.13922[/C][C]0.9745[/C][C]0.167287[/C][/ROW]
[ROW][C]38[/C][C]0.106319[/C][C]0.7442[/C][C]0.230146[/C][/ROW]
[ROW][C]39[/C][C]-0.008558[/C][C]-0.0599[/C][C]0.523764[/C][/ROW]
[ROW][C]40[/C][C]0.082841[/C][C]0.5799[/C][C]0.282324[/C][/ROW]
[ROW][C]41[/C][C]0.012218[/C][C]0.0855[/C][C]0.466094[/C][/ROW]
[ROW][C]42[/C][C]-0.062895[/C][C]-0.4403[/C][C]0.66916[/C][/ROW]
[ROW][C]43[/C][C]-0.034577[/C][C]-0.242[/C][C]0.595121[/C][/ROW]
[ROW][C]44[/C][C]-0.038383[/C][C]-0.2687[/C][C]0.605349[/C][/ROW]
[ROW][C]45[/C][C]-0.084289[/C][C]-0.59[/C][C]0.721056[/C][/ROW]
[ROW][C]46[/C][C]-0.046944[/C][C]-0.3286[/C][C]0.628075[/C][/ROW]
[ROW][C]47[/C][C]-0.005879[/C][C]-0.0411[/C][C]0.516328[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2496&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2496&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
0170
1-0.070736-0.49510.688646
20.0518010.36260.359228
30.3266972.28690.013281
4-0.015076-0.10550.541807
5-0.023598-0.16520.565262
60.0797470.55820.289614
7-0.278331-1.94830.971442
80.0160730.11250.455438
9-0.037029-0.25920.601719
10-0.159966-1.11980.865863
11-0.096602-0.67620.748958
12-0.184461-1.29120.898659
13-0.069075-0.48350.684562
140.0678230.47480.318534
15-0.097542-0.68280.751025
16-0.168631-1.18040.878233
170.1766171.23630.111117
180.0521230.36490.358394
19-0.054087-0.37860.646693
200.0286690.20070.420889
210.1225890.85810.197501
22-0.199351-1.39550.915415
230.1597181.1180.134503
24-0.085576-0.5990.724044
25-0.200949-1.40660.917077
260.0426790.29880.383196
27-0.041424-0.290.613468
28-0.107508-0.75260.772341
290.0488970.34230.366803
30-0.108177-0.75720.773734
310.1098060.76860.222896
320.0538040.37660.354039
33-0.115912-0.81140.789466
340.1545731.0820.142272
350.0901840.63130.265394
36-0.030907-0.21630.585192
370.139220.97450.167287
380.1063190.74420.230146
39-0.008558-0.05990.523764
400.0828410.57990.282324
410.0122180.08550.466094
42-0.062895-0.44030.66916
43-0.034577-0.2420.595121
44-0.038383-0.26870.605349
45-0.084289-0.590.721056
46-0.046944-0.32860.628075
47-0.005879-0.04110.516328







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.070736-0.49510.688646
10.0470330.32920.371691
20.3359372.35160.01138
30.036630.25640.399355
4-0.070417-0.49290.687864
5-0.045582-0.31910.624486
6-0.313202-2.19240.983435
7-0.015885-0.11120.544043
8-0.004172-0.02920.511591
90.0341080.23880.406145
10-0.091297-0.63910.737127
11-0.250396-1.75280.957052
12-0.060468-0.42330.663026
130.109770.76840.222972
140.1152060.80640.211943
15-0.196697-1.37690.912595
160.0180540.12640.449974
170.0628550.440.330941
18-0.030078-0.21050.582943
19-0.088723-0.62110.731281
200.0973080.68120.249489
21-0.271394-1.89980.968321
22-0.018769-0.13140.551993
23-0.091221-0.63850.736955
24-0.095255-0.66680.74598
25-0.032985-0.23090.590822
26-0.090371-0.63260.735031
270.0078250.05480.478271
28-0.007679-0.05380.521325
290.0028190.01970.492168
300.0388060.27160.393519
31-0.080626-0.56440.712466
32-0.093543-0.65480.742172
330.0042210.02950.488275
340.0503910.35270.3629
350.0005380.00380.498505
36-0.041426-0.290.613474
370.0154830.10840.457069
380.0641850.44930.327599
39-0.069789-0.48850.68632
40-0.04108-0.28760.612551
41-0.08824-0.61770.730177
420.0147980.10360.45896
43-0.109985-0.76990.777472
440.0018750.01310.49479
450.0199180.13940.444843
460.0539110.37740.353761
470.0448790.31420.37737

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.070736 & -0.4951 & 0.688646 \tabularnewline
1 & 0.047033 & 0.3292 & 0.371691 \tabularnewline
2 & 0.335937 & 2.3516 & 0.01138 \tabularnewline
3 & 0.03663 & 0.2564 & 0.399355 \tabularnewline
4 & -0.070417 & -0.4929 & 0.687864 \tabularnewline
5 & -0.045582 & -0.3191 & 0.624486 \tabularnewline
6 & -0.313202 & -2.1924 & 0.983435 \tabularnewline
7 & -0.015885 & -0.1112 & 0.544043 \tabularnewline
8 & -0.004172 & -0.0292 & 0.511591 \tabularnewline
9 & 0.034108 & 0.2388 & 0.406145 \tabularnewline
10 & -0.091297 & -0.6391 & 0.737127 \tabularnewline
11 & -0.250396 & -1.7528 & 0.957052 \tabularnewline
12 & -0.060468 & -0.4233 & 0.663026 \tabularnewline
13 & 0.10977 & 0.7684 & 0.222972 \tabularnewline
14 & 0.115206 & 0.8064 & 0.211943 \tabularnewline
15 & -0.196697 & -1.3769 & 0.912595 \tabularnewline
16 & 0.018054 & 0.1264 & 0.449974 \tabularnewline
17 & 0.062855 & 0.44 & 0.330941 \tabularnewline
18 & -0.030078 & -0.2105 & 0.582943 \tabularnewline
19 & -0.088723 & -0.6211 & 0.731281 \tabularnewline
20 & 0.097308 & 0.6812 & 0.249489 \tabularnewline
21 & -0.271394 & -1.8998 & 0.968321 \tabularnewline
22 & -0.018769 & -0.1314 & 0.551993 \tabularnewline
23 & -0.091221 & -0.6385 & 0.736955 \tabularnewline
24 & -0.095255 & -0.6668 & 0.74598 \tabularnewline
25 & -0.032985 & -0.2309 & 0.590822 \tabularnewline
26 & -0.090371 & -0.6326 & 0.735031 \tabularnewline
27 & 0.007825 & 0.0548 & 0.478271 \tabularnewline
28 & -0.007679 & -0.0538 & 0.521325 \tabularnewline
29 & 0.002819 & 0.0197 & 0.492168 \tabularnewline
30 & 0.038806 & 0.2716 & 0.393519 \tabularnewline
31 & -0.080626 & -0.5644 & 0.712466 \tabularnewline
32 & -0.093543 & -0.6548 & 0.742172 \tabularnewline
33 & 0.004221 & 0.0295 & 0.488275 \tabularnewline
34 & 0.050391 & 0.3527 & 0.3629 \tabularnewline
35 & 0.000538 & 0.0038 & 0.498505 \tabularnewline
36 & -0.041426 & -0.29 & 0.613474 \tabularnewline
37 & 0.015483 & 0.1084 & 0.457069 \tabularnewline
38 & 0.064185 & 0.4493 & 0.327599 \tabularnewline
39 & -0.069789 & -0.4885 & 0.68632 \tabularnewline
40 & -0.04108 & -0.2876 & 0.612551 \tabularnewline
41 & -0.08824 & -0.6177 & 0.730177 \tabularnewline
42 & 0.014798 & 0.1036 & 0.45896 \tabularnewline
43 & -0.109985 & -0.7699 & 0.777472 \tabularnewline
44 & 0.001875 & 0.0131 & 0.49479 \tabularnewline
45 & 0.019918 & 0.1394 & 0.444843 \tabularnewline
46 & 0.053911 & 0.3774 & 0.353761 \tabularnewline
47 & 0.044879 & 0.3142 & 0.37737 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2496&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]0[/C][C]-0.070736[/C][C]-0.4951[/C][C]0.688646[/C][/ROW]
[ROW][C]1[/C][C]0.047033[/C][C]0.3292[/C][C]0.371691[/C][/ROW]
[ROW][C]2[/C][C]0.335937[/C][C]2.3516[/C][C]0.01138[/C][/ROW]
[ROW][C]3[/C][C]0.03663[/C][C]0.2564[/C][C]0.399355[/C][/ROW]
[ROW][C]4[/C][C]-0.070417[/C][C]-0.4929[/C][C]0.687864[/C][/ROW]
[ROW][C]5[/C][C]-0.045582[/C][C]-0.3191[/C][C]0.624486[/C][/ROW]
[ROW][C]6[/C][C]-0.313202[/C][C]-2.1924[/C][C]0.983435[/C][/ROW]
[ROW][C]7[/C][C]-0.015885[/C][C]-0.1112[/C][C]0.544043[/C][/ROW]
[ROW][C]8[/C][C]-0.004172[/C][C]-0.0292[/C][C]0.511591[/C][/ROW]
[ROW][C]9[/C][C]0.034108[/C][C]0.2388[/C][C]0.406145[/C][/ROW]
[ROW][C]10[/C][C]-0.091297[/C][C]-0.6391[/C][C]0.737127[/C][/ROW]
[ROW][C]11[/C][C]-0.250396[/C][C]-1.7528[/C][C]0.957052[/C][/ROW]
[ROW][C]12[/C][C]-0.060468[/C][C]-0.4233[/C][C]0.663026[/C][/ROW]
[ROW][C]13[/C][C]0.10977[/C][C]0.7684[/C][C]0.222972[/C][/ROW]
[ROW][C]14[/C][C]0.115206[/C][C]0.8064[/C][C]0.211943[/C][/ROW]
[ROW][C]15[/C][C]-0.196697[/C][C]-1.3769[/C][C]0.912595[/C][/ROW]
[ROW][C]16[/C][C]0.018054[/C][C]0.1264[/C][C]0.449974[/C][/ROW]
[ROW][C]17[/C][C]0.062855[/C][C]0.44[/C][C]0.330941[/C][/ROW]
[ROW][C]18[/C][C]-0.030078[/C][C]-0.2105[/C][C]0.582943[/C][/ROW]
[ROW][C]19[/C][C]-0.088723[/C][C]-0.6211[/C][C]0.731281[/C][/ROW]
[ROW][C]20[/C][C]0.097308[/C][C]0.6812[/C][C]0.249489[/C][/ROW]
[ROW][C]21[/C][C]-0.271394[/C][C]-1.8998[/C][C]0.968321[/C][/ROW]
[ROW][C]22[/C][C]-0.018769[/C][C]-0.1314[/C][C]0.551993[/C][/ROW]
[ROW][C]23[/C][C]-0.091221[/C][C]-0.6385[/C][C]0.736955[/C][/ROW]
[ROW][C]24[/C][C]-0.095255[/C][C]-0.6668[/C][C]0.74598[/C][/ROW]
[ROW][C]25[/C][C]-0.032985[/C][C]-0.2309[/C][C]0.590822[/C][/ROW]
[ROW][C]26[/C][C]-0.090371[/C][C]-0.6326[/C][C]0.735031[/C][/ROW]
[ROW][C]27[/C][C]0.007825[/C][C]0.0548[/C][C]0.478271[/C][/ROW]
[ROW][C]28[/C][C]-0.007679[/C][C]-0.0538[/C][C]0.521325[/C][/ROW]
[ROW][C]29[/C][C]0.002819[/C][C]0.0197[/C][C]0.492168[/C][/ROW]
[ROW][C]30[/C][C]0.038806[/C][C]0.2716[/C][C]0.393519[/C][/ROW]
[ROW][C]31[/C][C]-0.080626[/C][C]-0.5644[/C][C]0.712466[/C][/ROW]
[ROW][C]32[/C][C]-0.093543[/C][C]-0.6548[/C][C]0.742172[/C][/ROW]
[ROW][C]33[/C][C]0.004221[/C][C]0.0295[/C][C]0.488275[/C][/ROW]
[ROW][C]34[/C][C]0.050391[/C][C]0.3527[/C][C]0.3629[/C][/ROW]
[ROW][C]35[/C][C]0.000538[/C][C]0.0038[/C][C]0.498505[/C][/ROW]
[ROW][C]36[/C][C]-0.041426[/C][C]-0.29[/C][C]0.613474[/C][/ROW]
[ROW][C]37[/C][C]0.015483[/C][C]0.1084[/C][C]0.457069[/C][/ROW]
[ROW][C]38[/C][C]0.064185[/C][C]0.4493[/C][C]0.327599[/C][/ROW]
[ROW][C]39[/C][C]-0.069789[/C][C]-0.4885[/C][C]0.68632[/C][/ROW]
[ROW][C]40[/C][C]-0.04108[/C][C]-0.2876[/C][C]0.612551[/C][/ROW]
[ROW][C]41[/C][C]-0.08824[/C][C]-0.6177[/C][C]0.730177[/C][/ROW]
[ROW][C]42[/C][C]0.014798[/C][C]0.1036[/C][C]0.45896[/C][/ROW]
[ROW][C]43[/C][C]-0.109985[/C][C]-0.7699[/C][C]0.777472[/C][/ROW]
[ROW][C]44[/C][C]0.001875[/C][C]0.0131[/C][C]0.49479[/C][/ROW]
[ROW][C]45[/C][C]0.019918[/C][C]0.1394[/C][C]0.444843[/C][/ROW]
[ROW][C]46[/C][C]0.053911[/C][C]0.3774[/C][C]0.353761[/C][/ROW]
[ROW][C]47[/C][C]0.044879[/C][C]0.3142[/C][C]0.37737[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2496&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2496&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
0-0.070736-0.49510.688646
10.0470330.32920.371691
20.3359372.35160.01138
30.036630.25640.399355
4-0.070417-0.49290.687864
5-0.045582-0.31910.624486
6-0.313202-2.19240.983435
7-0.015885-0.11120.544043
8-0.004172-0.02920.511591
90.0341080.23880.406145
10-0.091297-0.63910.737127
11-0.250396-1.75280.957052
12-0.060468-0.42330.663026
130.109770.76840.222972
140.1152060.80640.211943
15-0.196697-1.37690.912595
160.0180540.12640.449974
170.0628550.440.330941
18-0.030078-0.21050.582943
19-0.088723-0.62110.731281
200.0973080.68120.249489
21-0.271394-1.89980.968321
22-0.018769-0.13140.551993
23-0.091221-0.63850.736955
24-0.095255-0.66680.74598
25-0.032985-0.23090.590822
26-0.090371-0.63260.735031
270.0078250.05480.478271
28-0.007679-0.05380.521325
290.0028190.01970.492168
300.0388060.27160.393519
31-0.080626-0.56440.712466
32-0.093543-0.65480.742172
330.0042210.02950.488275
340.0503910.35270.3629
350.0005380.00380.498505
36-0.041426-0.290.613474
370.0154830.10840.457069
380.0641850.44930.327599
39-0.069789-0.48850.68632
40-0.04108-0.28760.612551
41-0.08824-0.61770.730177
420.0147980.10360.45896
43-0.109985-0.76990.777472
440.0018750.01310.49479
450.0199180.13940.444843
460.0539110.37740.353761
470.0448790.31420.37737



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')