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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, 24 Dec 2008 01:56:31 -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/t123010914098xhzs6a47in487.htm/, Retrieved Sun, 19 May 2024 10:45:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36438, Retrieved Sun, 19 May 2024 10:45:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-24 08:56:31] [ba8414dd214a21fbd6c7bde748ac585f] [Current]
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Dataseries X:
46402
45329
42185
49341
50472
33020
29567
22870
25730
32609
23536
15135
36776
29982
38062
34226
24906
30233
27405
20784
22886
25425
20838
15655
37158
36364
43213
31635
30113
29985
20919
19429
21427
26064
20109
15369
35466
25954
33504
28115
28501
28618
21434
20177
21484
25642
23515
12941
36190
37785
38407
33326
30304
27576
27048
17291
21018
26792
19426
13927
35647
31746
31277
31583
25607
28151
24947
18077
23429
26313
18862
14753
36409
33163
34122
35225
28249
30374
26311
22069
23651
28628
23187
14727
43080
32519
39657
33614
28671
34243
27336
22916
24537
26128
22602
15744
41086
39690
43129
37863
35953
29133
24693
22205
21725
27192
21790
13253
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367
31124
26551
30651
25859
25100
25778
20418
18688
20424
24776
19814
12738




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36438&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36438&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36438&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.5036076.75660
20.3556354.77132e-06
30.3257684.37061e-05
40.0938461.25910.104818
50.1225021.64350.051009
60.0960611.28880.099563
70.0366680.4920.311674
80.0949211.27350.102241
9-0.042463-0.56970.284793
10-0.195626-2.62460.00471
11-0.21301-2.85780.002384
12-0.411239-5.51740
13-0.291027-3.90456.7e-05
14-0.051825-0.69530.24388
15-0.011204-0.15030.440341
160.0382040.51260.304444
170.0668240.89650.185581
180.0674240.90460.183447
190.0036060.04840.480732
200.0177960.23880.405784
210.1487511.99570.023737
220.1804942.42160.008223
230.2859483.83648.6e-05
240.2838623.80849.6e-05
250.2498913.35260.000488
260.1543542.07090.019899
27-0.016497-0.22130.412541
28-0.0292-0.39180.34785
29-0.01727-0.23170.408516
30-0.089324-1.19840.116168
31-0.020128-0.270.393717
324.6e-056e-040.499757
33-0.173255-2.32450.010608
34-0.187184-2.51130.006454
35-0.207357-2.7820.002989
36-0.344868-4.62694e-06
37-0.213726-2.86740.002316
38-0.200435-2.68910.003919
39-0.086807-1.16460.122852
400.0495330.66460.253593
41-0.040786-0.54720.292458
420.0074050.09940.460484
430.0297090.39860.345336
44-0.049938-0.670.251864
450.0185620.2490.401807
460.153442.05860.020486
470.1033181.38620.083707
480.2073122.78140.002995

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.503607 & 6.7566 & 0 \tabularnewline
2 & 0.355635 & 4.7713 & 2e-06 \tabularnewline
3 & 0.325768 & 4.3706 & 1e-05 \tabularnewline
4 & 0.093846 & 1.2591 & 0.104818 \tabularnewline
5 & 0.122502 & 1.6435 & 0.051009 \tabularnewline
6 & 0.096061 & 1.2888 & 0.099563 \tabularnewline
7 & 0.036668 & 0.492 & 0.311674 \tabularnewline
8 & 0.094921 & 1.2735 & 0.102241 \tabularnewline
9 & -0.042463 & -0.5697 & 0.284793 \tabularnewline
10 & -0.195626 & -2.6246 & 0.00471 \tabularnewline
11 & -0.21301 & -2.8578 & 0.002384 \tabularnewline
12 & -0.411239 & -5.5174 & 0 \tabularnewline
13 & -0.291027 & -3.9045 & 6.7e-05 \tabularnewline
14 & -0.051825 & -0.6953 & 0.24388 \tabularnewline
15 & -0.011204 & -0.1503 & 0.440341 \tabularnewline
16 & 0.038204 & 0.5126 & 0.304444 \tabularnewline
17 & 0.066824 & 0.8965 & 0.185581 \tabularnewline
18 & 0.067424 & 0.9046 & 0.183447 \tabularnewline
19 & 0.003606 & 0.0484 & 0.480732 \tabularnewline
20 & 0.017796 & 0.2388 & 0.405784 \tabularnewline
21 & 0.148751 & 1.9957 & 0.023737 \tabularnewline
22 & 0.180494 & 2.4216 & 0.008223 \tabularnewline
23 & 0.285948 & 3.8364 & 8.6e-05 \tabularnewline
24 & 0.283862 & 3.8084 & 9.6e-05 \tabularnewline
25 & 0.249891 & 3.3526 & 0.000488 \tabularnewline
26 & 0.154354 & 2.0709 & 0.019899 \tabularnewline
27 & -0.016497 & -0.2213 & 0.412541 \tabularnewline
28 & -0.0292 & -0.3918 & 0.34785 \tabularnewline
29 & -0.01727 & -0.2317 & 0.408516 \tabularnewline
30 & -0.089324 & -1.1984 & 0.116168 \tabularnewline
31 & -0.020128 & -0.27 & 0.393717 \tabularnewline
32 & 4.6e-05 & 6e-04 & 0.499757 \tabularnewline
33 & -0.173255 & -2.3245 & 0.010608 \tabularnewline
34 & -0.187184 & -2.5113 & 0.006454 \tabularnewline
35 & -0.207357 & -2.782 & 0.002989 \tabularnewline
36 & -0.344868 & -4.6269 & 4e-06 \tabularnewline
37 & -0.213726 & -2.8674 & 0.002316 \tabularnewline
38 & -0.200435 & -2.6891 & 0.003919 \tabularnewline
39 & -0.086807 & -1.1646 & 0.122852 \tabularnewline
40 & 0.049533 & 0.6646 & 0.253593 \tabularnewline
41 & -0.040786 & -0.5472 & 0.292458 \tabularnewline
42 & 0.007405 & 0.0994 & 0.460484 \tabularnewline
43 & 0.029709 & 0.3986 & 0.345336 \tabularnewline
44 & -0.049938 & -0.67 & 0.251864 \tabularnewline
45 & 0.018562 & 0.249 & 0.401807 \tabularnewline
46 & 0.15344 & 2.0586 & 0.020486 \tabularnewline
47 & 0.103318 & 1.3862 & 0.083707 \tabularnewline
48 & 0.207312 & 2.7814 & 0.002995 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36438&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]0.503607[/C][C]6.7566[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.355635[/C][C]4.7713[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.325768[/C][C]4.3706[/C][C]1e-05[/C][/ROW]
[ROW][C]4[/C][C]0.093846[/C][C]1.2591[/C][C]0.104818[/C][/ROW]
[ROW][C]5[/C][C]0.122502[/C][C]1.6435[/C][C]0.051009[/C][/ROW]
[ROW][C]6[/C][C]0.096061[/C][C]1.2888[/C][C]0.099563[/C][/ROW]
[ROW][C]7[/C][C]0.036668[/C][C]0.492[/C][C]0.311674[/C][/ROW]
[ROW][C]8[/C][C]0.094921[/C][C]1.2735[/C][C]0.102241[/C][/ROW]
[ROW][C]9[/C][C]-0.042463[/C][C]-0.5697[/C][C]0.284793[/C][/ROW]
[ROW][C]10[/C][C]-0.195626[/C][C]-2.6246[/C][C]0.00471[/C][/ROW]
[ROW][C]11[/C][C]-0.21301[/C][C]-2.8578[/C][C]0.002384[/C][/ROW]
[ROW][C]12[/C][C]-0.411239[/C][C]-5.5174[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.291027[/C][C]-3.9045[/C][C]6.7e-05[/C][/ROW]
[ROW][C]14[/C][C]-0.051825[/C][C]-0.6953[/C][C]0.24388[/C][/ROW]
[ROW][C]15[/C][C]-0.011204[/C][C]-0.1503[/C][C]0.440341[/C][/ROW]
[ROW][C]16[/C][C]0.038204[/C][C]0.5126[/C][C]0.304444[/C][/ROW]
[ROW][C]17[/C][C]0.066824[/C][C]0.8965[/C][C]0.185581[/C][/ROW]
[ROW][C]18[/C][C]0.067424[/C][C]0.9046[/C][C]0.183447[/C][/ROW]
[ROW][C]19[/C][C]0.003606[/C][C]0.0484[/C][C]0.480732[/C][/ROW]
[ROW][C]20[/C][C]0.017796[/C][C]0.2388[/C][C]0.405784[/C][/ROW]
[ROW][C]21[/C][C]0.148751[/C][C]1.9957[/C][C]0.023737[/C][/ROW]
[ROW][C]22[/C][C]0.180494[/C][C]2.4216[/C][C]0.008223[/C][/ROW]
[ROW][C]23[/C][C]0.285948[/C][C]3.8364[/C][C]8.6e-05[/C][/ROW]
[ROW][C]24[/C][C]0.283862[/C][C]3.8084[/C][C]9.6e-05[/C][/ROW]
[ROW][C]25[/C][C]0.249891[/C][C]3.3526[/C][C]0.000488[/C][/ROW]
[ROW][C]26[/C][C]0.154354[/C][C]2.0709[/C][C]0.019899[/C][/ROW]
[ROW][C]27[/C][C]-0.016497[/C][C]-0.2213[/C][C]0.412541[/C][/ROW]
[ROW][C]28[/C][C]-0.0292[/C][C]-0.3918[/C][C]0.34785[/C][/ROW]
[ROW][C]29[/C][C]-0.01727[/C][C]-0.2317[/C][C]0.408516[/C][/ROW]
[ROW][C]30[/C][C]-0.089324[/C][C]-1.1984[/C][C]0.116168[/C][/ROW]
[ROW][C]31[/C][C]-0.020128[/C][C]-0.27[/C][C]0.393717[/C][/ROW]
[ROW][C]32[/C][C]4.6e-05[/C][C]6e-04[/C][C]0.499757[/C][/ROW]
[ROW][C]33[/C][C]-0.173255[/C][C]-2.3245[/C][C]0.010608[/C][/ROW]
[ROW][C]34[/C][C]-0.187184[/C][C]-2.5113[/C][C]0.006454[/C][/ROW]
[ROW][C]35[/C][C]-0.207357[/C][C]-2.782[/C][C]0.002989[/C][/ROW]
[ROW][C]36[/C][C]-0.344868[/C][C]-4.6269[/C][C]4e-06[/C][/ROW]
[ROW][C]37[/C][C]-0.213726[/C][C]-2.8674[/C][C]0.002316[/C][/ROW]
[ROW][C]38[/C][C]-0.200435[/C][C]-2.6891[/C][C]0.003919[/C][/ROW]
[ROW][C]39[/C][C]-0.086807[/C][C]-1.1646[/C][C]0.122852[/C][/ROW]
[ROW][C]40[/C][C]0.049533[/C][C]0.6646[/C][C]0.253593[/C][/ROW]
[ROW][C]41[/C][C]-0.040786[/C][C]-0.5472[/C][C]0.292458[/C][/ROW]
[ROW][C]42[/C][C]0.007405[/C][C]0.0994[/C][C]0.460484[/C][/ROW]
[ROW][C]43[/C][C]0.029709[/C][C]0.3986[/C][C]0.345336[/C][/ROW]
[ROW][C]44[/C][C]-0.049938[/C][C]-0.67[/C][C]0.251864[/C][/ROW]
[ROW][C]45[/C][C]0.018562[/C][C]0.249[/C][C]0.401807[/C][/ROW]
[ROW][C]46[/C][C]0.15344[/C][C]2.0586[/C][C]0.020486[/C][/ROW]
[ROW][C]47[/C][C]0.103318[/C][C]1.3862[/C][C]0.083707[/C][/ROW]
[ROW][C]48[/C][C]0.207312[/C][C]2.7814[/C][C]0.002995[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36438&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36438&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
10.5036076.75660
20.3556354.77132e-06
30.3257684.37061e-05
40.0938461.25910.104818
50.1225021.64350.051009
60.0960611.28880.099563
70.0366680.4920.311674
80.0949211.27350.102241
9-0.042463-0.56970.284793
10-0.195626-2.62460.00471
11-0.21301-2.85780.002384
12-0.411239-5.51740
13-0.291027-3.90456.7e-05
14-0.051825-0.69530.24388
15-0.011204-0.15030.440341
160.0382040.51260.304444
170.0668240.89650.185581
180.0674240.90460.183447
190.0036060.04840.480732
200.0177960.23880.405784
210.1487511.99570.023737
220.1804942.42160.008223
230.2859483.83648.6e-05
240.2838623.80849.6e-05
250.2498913.35260.000488
260.1543542.07090.019899
27-0.016497-0.22130.412541
28-0.0292-0.39180.34785
29-0.01727-0.23170.408516
30-0.089324-1.19840.116168
31-0.020128-0.270.393717
324.6e-056e-040.499757
33-0.173255-2.32450.010608
34-0.187184-2.51130.006454
35-0.207357-2.7820.002989
36-0.344868-4.62694e-06
37-0.213726-2.86740.002316
38-0.200435-2.68910.003919
39-0.086807-1.16460.122852
400.0495330.66460.253593
41-0.040786-0.54720.292458
420.0074050.09940.460484
430.0297090.39860.345336
44-0.049938-0.670.251864
450.0185620.2490.401807
460.153442.05860.020486
470.1033181.38620.083707
480.2073122.78140.002995







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5036076.75660
20.136681.83380.034171
30.1396911.87410.031265
4-0.193454-2.59550.005113
50.1020971.36980.086233
6-0.003245-0.04350.482659
70.0096050.12890.448803
80.0472290.63360.263558
9-0.15447-2.07240.019825
10-0.212607-2.85240.002423
11-0.094319-1.26540.103677
12-0.271638-3.64440.000175
130.11441.53480.063289
140.2753023.69360.000147
150.185062.48280.006975
16-0.048934-0.65650.256163
17-0.012868-0.17260.431561
180.0790961.06120.145014
19-0.10563-1.41720.079081
200.0367990.49370.311054
210.1770522.37540.009291
22-0.070449-0.94520.172917
230.0831911.11610.132928
24-0.063981-0.85840.195907
250.0866371.16240.123314
260.0208360.27950.390075
27-0.05464-0.73310.232234
28-0.041737-0.560.288103
29-0.065431-0.87780.190599
30-0.065325-0.87640.190981
310.0152240.20420.419196
320.0164110.22020.412994
33-0.056709-0.76080.223879
34-0.045672-0.61270.270408
350.0616560.82720.204611
36-0.236761-3.17650.000877
370.0789891.05980.145339
38-0.070594-0.94710.172425
390.0520160.69790.243079
400.0570890.76590.22236
41-0.025345-0.340.367111
420.00580.07780.469033
43-0.014361-0.19270.423714
44-0.02422-0.32490.372802
45-0.043791-0.58750.278797
460.0449050.60250.27381
470.0123160.16520.434471
480.0031280.0420.483284

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.503607 & 6.7566 & 0 \tabularnewline
2 & 0.13668 & 1.8338 & 0.034171 \tabularnewline
3 & 0.139691 & 1.8741 & 0.031265 \tabularnewline
4 & -0.193454 & -2.5955 & 0.005113 \tabularnewline
5 & 0.102097 & 1.3698 & 0.086233 \tabularnewline
6 & -0.003245 & -0.0435 & 0.482659 \tabularnewline
7 & 0.009605 & 0.1289 & 0.448803 \tabularnewline
8 & 0.047229 & 0.6336 & 0.263558 \tabularnewline
9 & -0.15447 & -2.0724 & 0.019825 \tabularnewline
10 & -0.212607 & -2.8524 & 0.002423 \tabularnewline
11 & -0.094319 & -1.2654 & 0.103677 \tabularnewline
12 & -0.271638 & -3.6444 & 0.000175 \tabularnewline
13 & 0.1144 & 1.5348 & 0.063289 \tabularnewline
14 & 0.275302 & 3.6936 & 0.000147 \tabularnewline
15 & 0.18506 & 2.4828 & 0.006975 \tabularnewline
16 & -0.048934 & -0.6565 & 0.256163 \tabularnewline
17 & -0.012868 & -0.1726 & 0.431561 \tabularnewline
18 & 0.079096 & 1.0612 & 0.145014 \tabularnewline
19 & -0.10563 & -1.4172 & 0.079081 \tabularnewline
20 & 0.036799 & 0.4937 & 0.311054 \tabularnewline
21 & 0.177052 & 2.3754 & 0.009291 \tabularnewline
22 & -0.070449 & -0.9452 & 0.172917 \tabularnewline
23 & 0.083191 & 1.1161 & 0.132928 \tabularnewline
24 & -0.063981 & -0.8584 & 0.195907 \tabularnewline
25 & 0.086637 & 1.1624 & 0.123314 \tabularnewline
26 & 0.020836 & 0.2795 & 0.390075 \tabularnewline
27 & -0.05464 & -0.7331 & 0.232234 \tabularnewline
28 & -0.041737 & -0.56 & 0.288103 \tabularnewline
29 & -0.065431 & -0.8778 & 0.190599 \tabularnewline
30 & -0.065325 & -0.8764 & 0.190981 \tabularnewline
31 & 0.015224 & 0.2042 & 0.419196 \tabularnewline
32 & 0.016411 & 0.2202 & 0.412994 \tabularnewline
33 & -0.056709 & -0.7608 & 0.223879 \tabularnewline
34 & -0.045672 & -0.6127 & 0.270408 \tabularnewline
35 & 0.061656 & 0.8272 & 0.204611 \tabularnewline
36 & -0.236761 & -3.1765 & 0.000877 \tabularnewline
37 & 0.078989 & 1.0598 & 0.145339 \tabularnewline
38 & -0.070594 & -0.9471 & 0.172425 \tabularnewline
39 & 0.052016 & 0.6979 & 0.243079 \tabularnewline
40 & 0.057089 & 0.7659 & 0.22236 \tabularnewline
41 & -0.025345 & -0.34 & 0.367111 \tabularnewline
42 & 0.0058 & 0.0778 & 0.469033 \tabularnewline
43 & -0.014361 & -0.1927 & 0.423714 \tabularnewline
44 & -0.02422 & -0.3249 & 0.372802 \tabularnewline
45 & -0.043791 & -0.5875 & 0.278797 \tabularnewline
46 & 0.044905 & 0.6025 & 0.27381 \tabularnewline
47 & 0.012316 & 0.1652 & 0.434471 \tabularnewline
48 & 0.003128 & 0.042 & 0.483284 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36438&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]0.503607[/C][C]6.7566[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.13668[/C][C]1.8338[/C][C]0.034171[/C][/ROW]
[ROW][C]3[/C][C]0.139691[/C][C]1.8741[/C][C]0.031265[/C][/ROW]
[ROW][C]4[/C][C]-0.193454[/C][C]-2.5955[/C][C]0.005113[/C][/ROW]
[ROW][C]5[/C][C]0.102097[/C][C]1.3698[/C][C]0.086233[/C][/ROW]
[ROW][C]6[/C][C]-0.003245[/C][C]-0.0435[/C][C]0.482659[/C][/ROW]
[ROW][C]7[/C][C]0.009605[/C][C]0.1289[/C][C]0.448803[/C][/ROW]
[ROW][C]8[/C][C]0.047229[/C][C]0.6336[/C][C]0.263558[/C][/ROW]
[ROW][C]9[/C][C]-0.15447[/C][C]-2.0724[/C][C]0.019825[/C][/ROW]
[ROW][C]10[/C][C]-0.212607[/C][C]-2.8524[/C][C]0.002423[/C][/ROW]
[ROW][C]11[/C][C]-0.094319[/C][C]-1.2654[/C][C]0.103677[/C][/ROW]
[ROW][C]12[/C][C]-0.271638[/C][C]-3.6444[/C][C]0.000175[/C][/ROW]
[ROW][C]13[/C][C]0.1144[/C][C]1.5348[/C][C]0.063289[/C][/ROW]
[ROW][C]14[/C][C]0.275302[/C][C]3.6936[/C][C]0.000147[/C][/ROW]
[ROW][C]15[/C][C]0.18506[/C][C]2.4828[/C][C]0.006975[/C][/ROW]
[ROW][C]16[/C][C]-0.048934[/C][C]-0.6565[/C][C]0.256163[/C][/ROW]
[ROW][C]17[/C][C]-0.012868[/C][C]-0.1726[/C][C]0.431561[/C][/ROW]
[ROW][C]18[/C][C]0.079096[/C][C]1.0612[/C][C]0.145014[/C][/ROW]
[ROW][C]19[/C][C]-0.10563[/C][C]-1.4172[/C][C]0.079081[/C][/ROW]
[ROW][C]20[/C][C]0.036799[/C][C]0.4937[/C][C]0.311054[/C][/ROW]
[ROW][C]21[/C][C]0.177052[/C][C]2.3754[/C][C]0.009291[/C][/ROW]
[ROW][C]22[/C][C]-0.070449[/C][C]-0.9452[/C][C]0.172917[/C][/ROW]
[ROW][C]23[/C][C]0.083191[/C][C]1.1161[/C][C]0.132928[/C][/ROW]
[ROW][C]24[/C][C]-0.063981[/C][C]-0.8584[/C][C]0.195907[/C][/ROW]
[ROW][C]25[/C][C]0.086637[/C][C]1.1624[/C][C]0.123314[/C][/ROW]
[ROW][C]26[/C][C]0.020836[/C][C]0.2795[/C][C]0.390075[/C][/ROW]
[ROW][C]27[/C][C]-0.05464[/C][C]-0.7331[/C][C]0.232234[/C][/ROW]
[ROW][C]28[/C][C]-0.041737[/C][C]-0.56[/C][C]0.288103[/C][/ROW]
[ROW][C]29[/C][C]-0.065431[/C][C]-0.8778[/C][C]0.190599[/C][/ROW]
[ROW][C]30[/C][C]-0.065325[/C][C]-0.8764[/C][C]0.190981[/C][/ROW]
[ROW][C]31[/C][C]0.015224[/C][C]0.2042[/C][C]0.419196[/C][/ROW]
[ROW][C]32[/C][C]0.016411[/C][C]0.2202[/C][C]0.412994[/C][/ROW]
[ROW][C]33[/C][C]-0.056709[/C][C]-0.7608[/C][C]0.223879[/C][/ROW]
[ROW][C]34[/C][C]-0.045672[/C][C]-0.6127[/C][C]0.270408[/C][/ROW]
[ROW][C]35[/C][C]0.061656[/C][C]0.8272[/C][C]0.204611[/C][/ROW]
[ROW][C]36[/C][C]-0.236761[/C][C]-3.1765[/C][C]0.000877[/C][/ROW]
[ROW][C]37[/C][C]0.078989[/C][C]1.0598[/C][C]0.145339[/C][/ROW]
[ROW][C]38[/C][C]-0.070594[/C][C]-0.9471[/C][C]0.172425[/C][/ROW]
[ROW][C]39[/C][C]0.052016[/C][C]0.6979[/C][C]0.243079[/C][/ROW]
[ROW][C]40[/C][C]0.057089[/C][C]0.7659[/C][C]0.22236[/C][/ROW]
[ROW][C]41[/C][C]-0.025345[/C][C]-0.34[/C][C]0.367111[/C][/ROW]
[ROW][C]42[/C][C]0.0058[/C][C]0.0778[/C][C]0.469033[/C][/ROW]
[ROW][C]43[/C][C]-0.014361[/C][C]-0.1927[/C][C]0.423714[/C][/ROW]
[ROW][C]44[/C][C]-0.02422[/C][C]-0.3249[/C][C]0.372802[/C][/ROW]
[ROW][C]45[/C][C]-0.043791[/C][C]-0.5875[/C][C]0.278797[/C][/ROW]
[ROW][C]46[/C][C]0.044905[/C][C]0.6025[/C][C]0.27381[/C][/ROW]
[ROW][C]47[/C][C]0.012316[/C][C]0.1652[/C][C]0.434471[/C][/ROW]
[ROW][C]48[/C][C]0.003128[/C][C]0.042[/C][C]0.483284[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36438&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36438&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
10.5036076.75660
20.136681.83380.034171
30.1396911.87410.031265
4-0.193454-2.59550.005113
50.1020971.36980.086233
6-0.003245-0.04350.482659
70.0096050.12890.448803
80.0472290.63360.263558
9-0.15447-2.07240.019825
10-0.212607-2.85240.002423
11-0.094319-1.26540.103677
12-0.271638-3.64440.000175
130.11441.53480.063289
140.2753023.69360.000147
150.185062.48280.006975
16-0.048934-0.65650.256163
17-0.012868-0.17260.431561
180.0790961.06120.145014
19-0.10563-1.41720.079081
200.0367990.49370.311054
210.1770522.37540.009291
22-0.070449-0.94520.172917
230.0831911.11610.132928
24-0.063981-0.85840.195907
250.0866371.16240.123314
260.0208360.27950.390075
27-0.05464-0.73310.232234
28-0.041737-0.560.288103
29-0.065431-0.87780.190599
30-0.065325-0.87640.190981
310.0152240.20420.419196
320.0164110.22020.412994
33-0.056709-0.76080.223879
34-0.045672-0.61270.270408
350.0616560.82720.204611
36-0.236761-3.17650.000877
370.0789891.05980.145339
38-0.070594-0.94710.172425
390.0520160.69790.243079
400.0570890.76590.22236
41-0.025345-0.340.367111
420.00580.07780.469033
43-0.014361-0.19270.423714
44-0.02422-0.32490.372802
45-0.043791-0.58750.278797
460.0449050.60250.27381
470.0123160.16520.434471
480.0031280.0420.483284



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 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')