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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 01:59:54 -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/t1230109219lau8umw6tn36t4p.htm/, Retrieved Sun, 19 May 2024 12:37:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36439, Retrieved Sun, 19 May 2024 12:37:08 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2008-12-24 08:59:54] [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=36439&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=36439&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36439&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
1-0.375364-5.0221e-06
2-0.094602-1.26570.103635
30.1819132.43380.007961
4-0.297114-3.97515.1e-05
50.1159521.55130.061295
60.0359040.48040.315776
7-0.117173-1.56770.059363
80.2002732.67950.004031
90.0079340.10620.457791
10-0.129975-1.73890.041882
110.1932972.58610.00525
12-0.329707-4.41129e-06
13-0.107619-1.43980.075829
140.1997672.67270.00411
15-0.026283-0.35160.362758
160.042130.56370.286843
170.0126690.16950.432798
180.054530.72960.233305
19-0.076847-1.02810.152635
20-0.116885-1.56380.059813
210.1024231.37030.08615
22-0.078296-1.04750.148135
230.1145941.53320.063501
240.0358310.47940.316123
250.0375960.5030.30779
260.0825251.10410.135513
27-0.150486-2.01340.022787
28-0.022889-0.30620.379891
290.0890971.1920.117413
30-0.144868-1.93820.027086
310.0550520.73650.231181
320.2051822.74520.003333
33-0.16412-2.19580.014697
340.0123270.16490.434596
350.0993241.32890.092791
36-0.265847-3.55680.00024
370.1476581.97550.024872
38-0.117251-1.56870.05924
39-0.025275-0.33820.367822
400.2260543.02440.001429
41-0.147186-1.96920.025236
420.0393180.5260.299757
430.0833251.11480.133214
44-0.15424-2.06360.02025
45-0.065996-0.8830.189219
460.1833752.45340.007555
47-0.139201-1.86240.032094
480.1261541.68780.046593

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.375364 & -5.022 & 1e-06 \tabularnewline
2 & -0.094602 & -1.2657 & 0.103635 \tabularnewline
3 & 0.181913 & 2.4338 & 0.007961 \tabularnewline
4 & -0.297114 & -3.9751 & 5.1e-05 \tabularnewline
5 & 0.115952 & 1.5513 & 0.061295 \tabularnewline
6 & 0.035904 & 0.4804 & 0.315776 \tabularnewline
7 & -0.117173 & -1.5677 & 0.059363 \tabularnewline
8 & 0.200273 & 2.6795 & 0.004031 \tabularnewline
9 & 0.007934 & 0.1062 & 0.457791 \tabularnewline
10 & -0.129975 & -1.7389 & 0.041882 \tabularnewline
11 & 0.193297 & 2.5861 & 0.00525 \tabularnewline
12 & -0.329707 & -4.4112 & 9e-06 \tabularnewline
13 & -0.107619 & -1.4398 & 0.075829 \tabularnewline
14 & 0.199767 & 2.6727 & 0.00411 \tabularnewline
15 & -0.026283 & -0.3516 & 0.362758 \tabularnewline
16 & 0.04213 & 0.5637 & 0.286843 \tabularnewline
17 & 0.012669 & 0.1695 & 0.432798 \tabularnewline
18 & 0.05453 & 0.7296 & 0.233305 \tabularnewline
19 & -0.076847 & -1.0281 & 0.152635 \tabularnewline
20 & -0.116885 & -1.5638 & 0.059813 \tabularnewline
21 & 0.102423 & 1.3703 & 0.08615 \tabularnewline
22 & -0.078296 & -1.0475 & 0.148135 \tabularnewline
23 & 0.114594 & 1.5332 & 0.063501 \tabularnewline
24 & 0.035831 & 0.4794 & 0.316123 \tabularnewline
25 & 0.037596 & 0.503 & 0.30779 \tabularnewline
26 & 0.082525 & 1.1041 & 0.135513 \tabularnewline
27 & -0.150486 & -2.0134 & 0.022787 \tabularnewline
28 & -0.022889 & -0.3062 & 0.379891 \tabularnewline
29 & 0.089097 & 1.192 & 0.117413 \tabularnewline
30 & -0.144868 & -1.9382 & 0.027086 \tabularnewline
31 & 0.055052 & 0.7365 & 0.231181 \tabularnewline
32 & 0.205182 & 2.7452 & 0.003333 \tabularnewline
33 & -0.16412 & -2.1958 & 0.014697 \tabularnewline
34 & 0.012327 & 0.1649 & 0.434596 \tabularnewline
35 & 0.099324 & 1.3289 & 0.092791 \tabularnewline
36 & -0.265847 & -3.5568 & 0.00024 \tabularnewline
37 & 0.147658 & 1.9755 & 0.024872 \tabularnewline
38 & -0.117251 & -1.5687 & 0.05924 \tabularnewline
39 & -0.025275 & -0.3382 & 0.367822 \tabularnewline
40 & 0.226054 & 3.0244 & 0.001429 \tabularnewline
41 & -0.147186 & -1.9692 & 0.025236 \tabularnewline
42 & 0.039318 & 0.526 & 0.299757 \tabularnewline
43 & 0.083325 & 1.1148 & 0.133214 \tabularnewline
44 & -0.15424 & -2.0636 & 0.02025 \tabularnewline
45 & -0.065996 & -0.883 & 0.189219 \tabularnewline
46 & 0.183375 & 2.4534 & 0.007555 \tabularnewline
47 & -0.139201 & -1.8624 & 0.032094 \tabularnewline
48 & 0.126154 & 1.6878 & 0.046593 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36439&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]-0.375364[/C][C]-5.022[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.094602[/C][C]-1.2657[/C][C]0.103635[/C][/ROW]
[ROW][C]3[/C][C]0.181913[/C][C]2.4338[/C][C]0.007961[/C][/ROW]
[ROW][C]4[/C][C]-0.297114[/C][C]-3.9751[/C][C]5.1e-05[/C][/ROW]
[ROW][C]5[/C][C]0.115952[/C][C]1.5513[/C][C]0.061295[/C][/ROW]
[ROW][C]6[/C][C]0.035904[/C][C]0.4804[/C][C]0.315776[/C][/ROW]
[ROW][C]7[/C][C]-0.117173[/C][C]-1.5677[/C][C]0.059363[/C][/ROW]
[ROW][C]8[/C][C]0.200273[/C][C]2.6795[/C][C]0.004031[/C][/ROW]
[ROW][C]9[/C][C]0.007934[/C][C]0.1062[/C][C]0.457791[/C][/ROW]
[ROW][C]10[/C][C]-0.129975[/C][C]-1.7389[/C][C]0.041882[/C][/ROW]
[ROW][C]11[/C][C]0.193297[/C][C]2.5861[/C][C]0.00525[/C][/ROW]
[ROW][C]12[/C][C]-0.329707[/C][C]-4.4112[/C][C]9e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.107619[/C][C]-1.4398[/C][C]0.075829[/C][/ROW]
[ROW][C]14[/C][C]0.199767[/C][C]2.6727[/C][C]0.00411[/C][/ROW]
[ROW][C]15[/C][C]-0.026283[/C][C]-0.3516[/C][C]0.362758[/C][/ROW]
[ROW][C]16[/C][C]0.04213[/C][C]0.5637[/C][C]0.286843[/C][/ROW]
[ROW][C]17[/C][C]0.012669[/C][C]0.1695[/C][C]0.432798[/C][/ROW]
[ROW][C]18[/C][C]0.05453[/C][C]0.7296[/C][C]0.233305[/C][/ROW]
[ROW][C]19[/C][C]-0.076847[/C][C]-1.0281[/C][C]0.152635[/C][/ROW]
[ROW][C]20[/C][C]-0.116885[/C][C]-1.5638[/C][C]0.059813[/C][/ROW]
[ROW][C]21[/C][C]0.102423[/C][C]1.3703[/C][C]0.08615[/C][/ROW]
[ROW][C]22[/C][C]-0.078296[/C][C]-1.0475[/C][C]0.148135[/C][/ROW]
[ROW][C]23[/C][C]0.114594[/C][C]1.5332[/C][C]0.063501[/C][/ROW]
[ROW][C]24[/C][C]0.035831[/C][C]0.4794[/C][C]0.316123[/C][/ROW]
[ROW][C]25[/C][C]0.037596[/C][C]0.503[/C][C]0.30779[/C][/ROW]
[ROW][C]26[/C][C]0.082525[/C][C]1.1041[/C][C]0.135513[/C][/ROW]
[ROW][C]27[/C][C]-0.150486[/C][C]-2.0134[/C][C]0.022787[/C][/ROW]
[ROW][C]28[/C][C]-0.022889[/C][C]-0.3062[/C][C]0.379891[/C][/ROW]
[ROW][C]29[/C][C]0.089097[/C][C]1.192[/C][C]0.117413[/C][/ROW]
[ROW][C]30[/C][C]-0.144868[/C][C]-1.9382[/C][C]0.027086[/C][/ROW]
[ROW][C]31[/C][C]0.055052[/C][C]0.7365[/C][C]0.231181[/C][/ROW]
[ROW][C]32[/C][C]0.205182[/C][C]2.7452[/C][C]0.003333[/C][/ROW]
[ROW][C]33[/C][C]-0.16412[/C][C]-2.1958[/C][C]0.014697[/C][/ROW]
[ROW][C]34[/C][C]0.012327[/C][C]0.1649[/C][C]0.434596[/C][/ROW]
[ROW][C]35[/C][C]0.099324[/C][C]1.3289[/C][C]0.092791[/C][/ROW]
[ROW][C]36[/C][C]-0.265847[/C][C]-3.5568[/C][C]0.00024[/C][/ROW]
[ROW][C]37[/C][C]0.147658[/C][C]1.9755[/C][C]0.024872[/C][/ROW]
[ROW][C]38[/C][C]-0.117251[/C][C]-1.5687[/C][C]0.05924[/C][/ROW]
[ROW][C]39[/C][C]-0.025275[/C][C]-0.3382[/C][C]0.367822[/C][/ROW]
[ROW][C]40[/C][C]0.226054[/C][C]3.0244[/C][C]0.001429[/C][/ROW]
[ROW][C]41[/C][C]-0.147186[/C][C]-1.9692[/C][C]0.025236[/C][/ROW]
[ROW][C]42[/C][C]0.039318[/C][C]0.526[/C][C]0.299757[/C][/ROW]
[ROW][C]43[/C][C]0.083325[/C][C]1.1148[/C][C]0.133214[/C][/ROW]
[ROW][C]44[/C][C]-0.15424[/C][C]-2.0636[/C][C]0.02025[/C][/ROW]
[ROW][C]45[/C][C]-0.065996[/C][C]-0.883[/C][C]0.189219[/C][/ROW]
[ROW][C]46[/C][C]0.183375[/C][C]2.4534[/C][C]0.007555[/C][/ROW]
[ROW][C]47[/C][C]-0.139201[/C][C]-1.8624[/C][C]0.032094[/C][/ROW]
[ROW][C]48[/C][C]0.126154[/C][C]1.6878[/C][C]0.046593[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36439&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36439&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
1-0.375364-5.0221e-06
2-0.094602-1.26570.103635
30.1819132.43380.007961
4-0.297114-3.97515.1e-05
50.1159521.55130.061295
60.0359040.48040.315776
7-0.117173-1.56770.059363
80.2002732.67950.004031
90.0079340.10620.457791
10-0.129975-1.73890.041882
110.1932972.58610.00525
12-0.329707-4.41129e-06
13-0.107619-1.43980.075829
140.1997672.67270.00411
15-0.026283-0.35160.362758
160.042130.56370.286843
170.0126690.16950.432798
180.054530.72960.233305
19-0.076847-1.02810.152635
20-0.116885-1.56380.059813
210.1024231.37030.08615
22-0.078296-1.04750.148135
230.1145941.53320.063501
240.0358310.47940.316123
250.0375960.5030.30779
260.0825251.10410.135513
27-0.150486-2.01340.022787
28-0.022889-0.30620.379891
290.0890971.1920.117413
30-0.144868-1.93820.027086
310.0550520.73650.231181
320.2051822.74520.003333
33-0.16412-2.19580.014697
340.0123270.16490.434596
350.0993241.32890.092791
36-0.265847-3.55680.00024
370.1476581.97550.024872
38-0.117251-1.56870.05924
39-0.025275-0.33820.367822
400.2260543.02440.001429
41-0.147186-1.96920.025236
420.0393180.5260.299757
430.0833251.11480.133214
44-0.15424-2.06360.02025
45-0.065996-0.8830.189219
460.1833752.45340.007555
47-0.139201-1.86240.032094
480.1261541.68780.046593







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.375364-5.0221e-06
2-0.274123-3.66750.000161
30.0425060.56870.285139
4-0.27775-3.7160.000135
5-0.099301-1.32860.092842
6-0.073412-0.98220.163666
7-0.101827-1.36240.087399
80.0678760.90810.182518
90.1372771.83660.033961
10-0.003487-0.04660.481423
110.1677332.24410.013025
12-0.221988-2.970.001693
13-0.364021-4.87031e-06
14-0.259789-3.47570.00032
15-0.045275-0.60570.272729
16-0.10061-1.34610.089992
17-0.149091-1.99470.023797
180.1256051.68050.047304
190.0235860.31560.376353
20-0.143353-1.91790.028356
210.1031751.38040.084595
22-0.056513-0.75610.225294
230.0564250.75490.225644
24-0.049307-0.65970.255152
25-0.025361-0.33930.367389
260.0395580.52920.298644
270.0452130.60490.273004
280.0455840.60990.271361
290.0648580.86770.193347
30-0.001429-0.01910.492383
31-0.020834-0.27870.390385
320.0455810.60980.271374
330.0269560.36060.359395
34-0.08099-1.08360.140005
350.1911572.55750.005686
36-0.078455-1.04970.147645
370.0494770.6620.254423
38-0.055754-0.74590.228342
39-0.080524-1.07730.14139
40-0.032989-0.44140.329744
41-0.019565-0.26180.396903
42-0.020708-0.27710.391031
430.0204040.2730.392587
440.0790821.05810.145729
45-0.055925-0.74820.227655
46-0.005437-0.07270.471046
47-0.000578-0.00770.496918
48-0.015233-0.20380.419368

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.375364 & -5.022 & 1e-06 \tabularnewline
2 & -0.274123 & -3.6675 & 0.000161 \tabularnewline
3 & 0.042506 & 0.5687 & 0.285139 \tabularnewline
4 & -0.27775 & -3.716 & 0.000135 \tabularnewline
5 & -0.099301 & -1.3286 & 0.092842 \tabularnewline
6 & -0.073412 & -0.9822 & 0.163666 \tabularnewline
7 & -0.101827 & -1.3624 & 0.087399 \tabularnewline
8 & 0.067876 & 0.9081 & 0.182518 \tabularnewline
9 & 0.137277 & 1.8366 & 0.033961 \tabularnewline
10 & -0.003487 & -0.0466 & 0.481423 \tabularnewline
11 & 0.167733 & 2.2441 & 0.013025 \tabularnewline
12 & -0.221988 & -2.97 & 0.001693 \tabularnewline
13 & -0.364021 & -4.8703 & 1e-06 \tabularnewline
14 & -0.259789 & -3.4757 & 0.00032 \tabularnewline
15 & -0.045275 & -0.6057 & 0.272729 \tabularnewline
16 & -0.10061 & -1.3461 & 0.089992 \tabularnewline
17 & -0.149091 & -1.9947 & 0.023797 \tabularnewline
18 & 0.125605 & 1.6805 & 0.047304 \tabularnewline
19 & 0.023586 & 0.3156 & 0.376353 \tabularnewline
20 & -0.143353 & -1.9179 & 0.028356 \tabularnewline
21 & 0.103175 & 1.3804 & 0.084595 \tabularnewline
22 & -0.056513 & -0.7561 & 0.225294 \tabularnewline
23 & 0.056425 & 0.7549 & 0.225644 \tabularnewline
24 & -0.049307 & -0.6597 & 0.255152 \tabularnewline
25 & -0.025361 & -0.3393 & 0.367389 \tabularnewline
26 & 0.039558 & 0.5292 & 0.298644 \tabularnewline
27 & 0.045213 & 0.6049 & 0.273004 \tabularnewline
28 & 0.045584 & 0.6099 & 0.271361 \tabularnewline
29 & 0.064858 & 0.8677 & 0.193347 \tabularnewline
30 & -0.001429 & -0.0191 & 0.492383 \tabularnewline
31 & -0.020834 & -0.2787 & 0.390385 \tabularnewline
32 & 0.045581 & 0.6098 & 0.271374 \tabularnewline
33 & 0.026956 & 0.3606 & 0.359395 \tabularnewline
34 & -0.08099 & -1.0836 & 0.140005 \tabularnewline
35 & 0.191157 & 2.5575 & 0.005686 \tabularnewline
36 & -0.078455 & -1.0497 & 0.147645 \tabularnewline
37 & 0.049477 & 0.662 & 0.254423 \tabularnewline
38 & -0.055754 & -0.7459 & 0.228342 \tabularnewline
39 & -0.080524 & -1.0773 & 0.14139 \tabularnewline
40 & -0.032989 & -0.4414 & 0.329744 \tabularnewline
41 & -0.019565 & -0.2618 & 0.396903 \tabularnewline
42 & -0.020708 & -0.2771 & 0.391031 \tabularnewline
43 & 0.020404 & 0.273 & 0.392587 \tabularnewline
44 & 0.079082 & 1.0581 & 0.145729 \tabularnewline
45 & -0.055925 & -0.7482 & 0.227655 \tabularnewline
46 & -0.005437 & -0.0727 & 0.471046 \tabularnewline
47 & -0.000578 & -0.0077 & 0.496918 \tabularnewline
48 & -0.015233 & -0.2038 & 0.419368 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36439&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]-0.375364[/C][C]-5.022[/C][C]1e-06[/C][/ROW]
[ROW][C]2[/C][C]-0.274123[/C][C]-3.6675[/C][C]0.000161[/C][/ROW]
[ROW][C]3[/C][C]0.042506[/C][C]0.5687[/C][C]0.285139[/C][/ROW]
[ROW][C]4[/C][C]-0.27775[/C][C]-3.716[/C][C]0.000135[/C][/ROW]
[ROW][C]5[/C][C]-0.099301[/C][C]-1.3286[/C][C]0.092842[/C][/ROW]
[ROW][C]6[/C][C]-0.073412[/C][C]-0.9822[/C][C]0.163666[/C][/ROW]
[ROW][C]7[/C][C]-0.101827[/C][C]-1.3624[/C][C]0.087399[/C][/ROW]
[ROW][C]8[/C][C]0.067876[/C][C]0.9081[/C][C]0.182518[/C][/ROW]
[ROW][C]9[/C][C]0.137277[/C][C]1.8366[/C][C]0.033961[/C][/ROW]
[ROW][C]10[/C][C]-0.003487[/C][C]-0.0466[/C][C]0.481423[/C][/ROW]
[ROW][C]11[/C][C]0.167733[/C][C]2.2441[/C][C]0.013025[/C][/ROW]
[ROW][C]12[/C][C]-0.221988[/C][C]-2.97[/C][C]0.001693[/C][/ROW]
[ROW][C]13[/C][C]-0.364021[/C][C]-4.8703[/C][C]1e-06[/C][/ROW]
[ROW][C]14[/C][C]-0.259789[/C][C]-3.4757[/C][C]0.00032[/C][/ROW]
[ROW][C]15[/C][C]-0.045275[/C][C]-0.6057[/C][C]0.272729[/C][/ROW]
[ROW][C]16[/C][C]-0.10061[/C][C]-1.3461[/C][C]0.089992[/C][/ROW]
[ROW][C]17[/C][C]-0.149091[/C][C]-1.9947[/C][C]0.023797[/C][/ROW]
[ROW][C]18[/C][C]0.125605[/C][C]1.6805[/C][C]0.047304[/C][/ROW]
[ROW][C]19[/C][C]0.023586[/C][C]0.3156[/C][C]0.376353[/C][/ROW]
[ROW][C]20[/C][C]-0.143353[/C][C]-1.9179[/C][C]0.028356[/C][/ROW]
[ROW][C]21[/C][C]0.103175[/C][C]1.3804[/C][C]0.084595[/C][/ROW]
[ROW][C]22[/C][C]-0.056513[/C][C]-0.7561[/C][C]0.225294[/C][/ROW]
[ROW][C]23[/C][C]0.056425[/C][C]0.7549[/C][C]0.225644[/C][/ROW]
[ROW][C]24[/C][C]-0.049307[/C][C]-0.6597[/C][C]0.255152[/C][/ROW]
[ROW][C]25[/C][C]-0.025361[/C][C]-0.3393[/C][C]0.367389[/C][/ROW]
[ROW][C]26[/C][C]0.039558[/C][C]0.5292[/C][C]0.298644[/C][/ROW]
[ROW][C]27[/C][C]0.045213[/C][C]0.6049[/C][C]0.273004[/C][/ROW]
[ROW][C]28[/C][C]0.045584[/C][C]0.6099[/C][C]0.271361[/C][/ROW]
[ROW][C]29[/C][C]0.064858[/C][C]0.8677[/C][C]0.193347[/C][/ROW]
[ROW][C]30[/C][C]-0.001429[/C][C]-0.0191[/C][C]0.492383[/C][/ROW]
[ROW][C]31[/C][C]-0.020834[/C][C]-0.2787[/C][C]0.390385[/C][/ROW]
[ROW][C]32[/C][C]0.045581[/C][C]0.6098[/C][C]0.271374[/C][/ROW]
[ROW][C]33[/C][C]0.026956[/C][C]0.3606[/C][C]0.359395[/C][/ROW]
[ROW][C]34[/C][C]-0.08099[/C][C]-1.0836[/C][C]0.140005[/C][/ROW]
[ROW][C]35[/C][C]0.191157[/C][C]2.5575[/C][C]0.005686[/C][/ROW]
[ROW][C]36[/C][C]-0.078455[/C][C]-1.0497[/C][C]0.147645[/C][/ROW]
[ROW][C]37[/C][C]0.049477[/C][C]0.662[/C][C]0.254423[/C][/ROW]
[ROW][C]38[/C][C]-0.055754[/C][C]-0.7459[/C][C]0.228342[/C][/ROW]
[ROW][C]39[/C][C]-0.080524[/C][C]-1.0773[/C][C]0.14139[/C][/ROW]
[ROW][C]40[/C][C]-0.032989[/C][C]-0.4414[/C][C]0.329744[/C][/ROW]
[ROW][C]41[/C][C]-0.019565[/C][C]-0.2618[/C][C]0.396903[/C][/ROW]
[ROW][C]42[/C][C]-0.020708[/C][C]-0.2771[/C][C]0.391031[/C][/ROW]
[ROW][C]43[/C][C]0.020404[/C][C]0.273[/C][C]0.392587[/C][/ROW]
[ROW][C]44[/C][C]0.079082[/C][C]1.0581[/C][C]0.145729[/C][/ROW]
[ROW][C]45[/C][C]-0.055925[/C][C]-0.7482[/C][C]0.227655[/C][/ROW]
[ROW][C]46[/C][C]-0.005437[/C][C]-0.0727[/C][C]0.471046[/C][/ROW]
[ROW][C]47[/C][C]-0.000578[/C][C]-0.0077[/C][C]0.496918[/C][/ROW]
[ROW][C]48[/C][C]-0.015233[/C][C]-0.2038[/C][C]0.419368[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36439&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36439&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
1-0.375364-5.0221e-06
2-0.274123-3.66750.000161
30.0425060.56870.285139
4-0.27775-3.7160.000135
5-0.099301-1.32860.092842
6-0.073412-0.98220.163666
7-0.101827-1.36240.087399
80.0678760.90810.182518
90.1372771.83660.033961
10-0.003487-0.04660.481423
110.1677332.24410.013025
12-0.221988-2.970.001693
13-0.364021-4.87031e-06
14-0.259789-3.47570.00032
15-0.045275-0.60570.272729
16-0.10061-1.34610.089992
17-0.149091-1.99470.023797
180.1256051.68050.047304
190.0235860.31560.376353
20-0.143353-1.91790.028356
210.1031751.38040.084595
22-0.056513-0.75610.225294
230.0564250.75490.225644
24-0.049307-0.65970.255152
25-0.025361-0.33930.367389
260.0395580.52920.298644
270.0452130.60490.273004
280.0455840.60990.271361
290.0648580.86770.193347
30-0.001429-0.01910.492383
31-0.020834-0.27870.390385
320.0455810.60980.271374
330.0269560.36060.359395
34-0.08099-1.08360.140005
350.1911572.55750.005686
36-0.078455-1.04970.147645
370.0494770.6620.254423
38-0.055754-0.74590.228342
39-0.080524-1.07730.14139
40-0.032989-0.44140.329744
41-0.019565-0.26180.396903
42-0.020708-0.27710.391031
430.0204040.2730.392587
440.0790821.05810.145729
45-0.055925-0.74820.227655
46-0.005437-0.07270.471046
47-0.000578-0.00770.496918
48-0.015233-0.20380.419368



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