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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 11 Dec 2008 15:55:01 -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/11/t1229036260pwhg93y8midtjny.htm/, Retrieved Wed, 29 May 2024 04:06:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32466, Retrieved Wed, 29 May 2024 04:06:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [2MAR03A_Robbe Ley...] [2008-12-11 22:55:01] [5cfda051308d8cc79b9da3748118f98f] [Current]
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Dataseries X:
284.4
212.8
226.9
308.4
262
227.9
236.1
320.4
271.9
232.8
237
313.4
261.4
226.8
249.9
314.3
286.1
226.5
260.4
311.4
294.7
232.6
257.2
339.2
279.1
249.8
269.8
345.7
293.8
254.7
277.5
363.4
313.4
272.8
300.1
369.5
330.8
287.8
305.9
386.1
335.2
288
308.3
402.3
352.8
316.1
324.9
404.8
393
318.9
327
442.3
383.1
331.6
361.4
445.9
386.6
357.2
373.6
466.2
409.6
369.8
378.6
487
419.2
376.7
392.8
506.1
458.4
387.4
426.9
565
464.8
444.5
449.5
556.1
499.6
451.9
434.9
553.8
510
432.9
453.2
547.6
485.8
452.6
456.6
565.7
514.8
464.3
430.9
588.3
503.1
442.6
448
554.5
504.5
427.3
473.1
526.2
547.5
440.2
468.7
574.5
492.6
432.6
479.8
575.7
474.6
405.3
434.6
535.1
452.6
429.5
417.2
551.8
464
416.6
422.9
553.6
458.6
427.6
429.2
534.2
481.7
416
440.2
538.7
473.8
439.9
446.8
597.5
467.2
439.4
447.4
568.5
485.9
442.1
430.5
600
464.5
423.6
437
574
443
410
420
532
432
420
411
512
449
382




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32466&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32466&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32466&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.216209-2.67440.004151
2-0.564346-6.98060
3-0.159396-1.97160.025229
40.90081811.14250
5-0.168075-2.0790.019644
6-0.565723-6.99760
7-0.145406-1.79860.037029
80.85973810.63440
9-0.1398-1.72920.042892
10-0.573926-7.09910
11-0.126471-1.56440.0599
120.83932310.38190
13-0.148724-1.83960.033882
14-0.558492-6.90820
15-0.10277-1.27120.102794
160.798029.8710
17-0.150997-1.86770.031856
18-0.521828-6.45470
19-0.119178-1.47420.071248
200.781189.66270
21-0.137185-1.69690.045876
22-0.529753-6.55270
23-0.093196-1.15280.125401
240.7479359.25140
25-0.137825-1.70480.04513
26-0.505802-6.25640
27-0.098239-1.21520.11309
280.7348629.08970
29-0.135765-1.67930.047565
30-0.493007-6.09820
31-0.087171-1.07820.141312
320.6966258.61680
33-0.112188-1.38770.083626
34-0.49489-6.12140
35-0.077546-0.95920.169487
360.6752438.35230
37-0.107437-1.32890.092926
38-0.490126-6.06250
39-0.059384-0.73450.231872
400.6483748.01990
41-0.114508-1.41640.079348
42-0.464011-5.73950
43-0.055135-0.6820.248141
440.6191237.65810
45-0.10732-1.32750.093165
46-0.438583-5.4250
47-0.067409-0.83380.202845
480.6131937.58480

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.216209 & -2.6744 & 0.004151 \tabularnewline
2 & -0.564346 & -6.9806 & 0 \tabularnewline
3 & -0.159396 & -1.9716 & 0.025229 \tabularnewline
4 & 0.900818 & 11.1425 & 0 \tabularnewline
5 & -0.168075 & -2.079 & 0.019644 \tabularnewline
6 & -0.565723 & -6.9976 & 0 \tabularnewline
7 & -0.145406 & -1.7986 & 0.037029 \tabularnewline
8 & 0.859738 & 10.6344 & 0 \tabularnewline
9 & -0.1398 & -1.7292 & 0.042892 \tabularnewline
10 & -0.573926 & -7.0991 & 0 \tabularnewline
11 & -0.126471 & -1.5644 & 0.0599 \tabularnewline
12 & 0.839323 & 10.3819 & 0 \tabularnewline
13 & -0.148724 & -1.8396 & 0.033882 \tabularnewline
14 & -0.558492 & -6.9082 & 0 \tabularnewline
15 & -0.10277 & -1.2712 & 0.102794 \tabularnewline
16 & 0.79802 & 9.871 & 0 \tabularnewline
17 & -0.150997 & -1.8677 & 0.031856 \tabularnewline
18 & -0.521828 & -6.4547 & 0 \tabularnewline
19 & -0.119178 & -1.4742 & 0.071248 \tabularnewline
20 & 0.78118 & 9.6627 & 0 \tabularnewline
21 & -0.137185 & -1.6969 & 0.045876 \tabularnewline
22 & -0.529753 & -6.5527 & 0 \tabularnewline
23 & -0.093196 & -1.1528 & 0.125401 \tabularnewline
24 & 0.747935 & 9.2514 & 0 \tabularnewline
25 & -0.137825 & -1.7048 & 0.04513 \tabularnewline
26 & -0.505802 & -6.2564 & 0 \tabularnewline
27 & -0.098239 & -1.2152 & 0.11309 \tabularnewline
28 & 0.734862 & 9.0897 & 0 \tabularnewline
29 & -0.135765 & -1.6793 & 0.047565 \tabularnewline
30 & -0.493007 & -6.0982 & 0 \tabularnewline
31 & -0.087171 & -1.0782 & 0.141312 \tabularnewline
32 & 0.696625 & 8.6168 & 0 \tabularnewline
33 & -0.112188 & -1.3877 & 0.083626 \tabularnewline
34 & -0.49489 & -6.1214 & 0 \tabularnewline
35 & -0.077546 & -0.9592 & 0.169487 \tabularnewline
36 & 0.675243 & 8.3523 & 0 \tabularnewline
37 & -0.107437 & -1.3289 & 0.092926 \tabularnewline
38 & -0.490126 & -6.0625 & 0 \tabularnewline
39 & -0.059384 & -0.7345 & 0.231872 \tabularnewline
40 & 0.648374 & 8.0199 & 0 \tabularnewline
41 & -0.114508 & -1.4164 & 0.079348 \tabularnewline
42 & -0.464011 & -5.7395 & 0 \tabularnewline
43 & -0.055135 & -0.682 & 0.248141 \tabularnewline
44 & 0.619123 & 7.6581 & 0 \tabularnewline
45 & -0.10732 & -1.3275 & 0.093165 \tabularnewline
46 & -0.438583 & -5.425 & 0 \tabularnewline
47 & -0.067409 & -0.8338 & 0.202845 \tabularnewline
48 & 0.613193 & 7.5848 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32466&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]-0.216209[/C][C]-2.6744[/C][C]0.004151[/C][/ROW]
[ROW][C]2[/C][C]-0.564346[/C][C]-6.9806[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]-0.159396[/C][C]-1.9716[/C][C]0.025229[/C][/ROW]
[ROW][C]4[/C][C]0.900818[/C][C]11.1425[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]-0.168075[/C][C]-2.079[/C][C]0.019644[/C][/ROW]
[ROW][C]6[/C][C]-0.565723[/C][C]-6.9976[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]-0.145406[/C][C]-1.7986[/C][C]0.037029[/C][/ROW]
[ROW][C]8[/C][C]0.859738[/C][C]10.6344[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]-0.1398[/C][C]-1.7292[/C][C]0.042892[/C][/ROW]
[ROW][C]10[/C][C]-0.573926[/C][C]-7.0991[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]-0.126471[/C][C]-1.5644[/C][C]0.0599[/C][/ROW]
[ROW][C]12[/C][C]0.839323[/C][C]10.3819[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.148724[/C][C]-1.8396[/C][C]0.033882[/C][/ROW]
[ROW][C]14[/C][C]-0.558492[/C][C]-6.9082[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]-0.10277[/C][C]-1.2712[/C][C]0.102794[/C][/ROW]
[ROW][C]16[/C][C]0.79802[/C][C]9.871[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]-0.150997[/C][C]-1.8677[/C][C]0.031856[/C][/ROW]
[ROW][C]18[/C][C]-0.521828[/C][C]-6.4547[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]-0.119178[/C][C]-1.4742[/C][C]0.071248[/C][/ROW]
[ROW][C]20[/C][C]0.78118[/C][C]9.6627[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]-0.137185[/C][C]-1.6969[/C][C]0.045876[/C][/ROW]
[ROW][C]22[/C][C]-0.529753[/C][C]-6.5527[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]-0.093196[/C][C]-1.1528[/C][C]0.125401[/C][/ROW]
[ROW][C]24[/C][C]0.747935[/C][C]9.2514[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]-0.137825[/C][C]-1.7048[/C][C]0.04513[/C][/ROW]
[ROW][C]26[/C][C]-0.505802[/C][C]-6.2564[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]-0.098239[/C][C]-1.2152[/C][C]0.11309[/C][/ROW]
[ROW][C]28[/C][C]0.734862[/C][C]9.0897[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]-0.135765[/C][C]-1.6793[/C][C]0.047565[/C][/ROW]
[ROW][C]30[/C][C]-0.493007[/C][C]-6.0982[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]-0.087171[/C][C]-1.0782[/C][C]0.141312[/C][/ROW]
[ROW][C]32[/C][C]0.696625[/C][C]8.6168[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]-0.112188[/C][C]-1.3877[/C][C]0.083626[/C][/ROW]
[ROW][C]34[/C][C]-0.49489[/C][C]-6.1214[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]-0.077546[/C][C]-0.9592[/C][C]0.169487[/C][/ROW]
[ROW][C]36[/C][C]0.675243[/C][C]8.3523[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]-0.107437[/C][C]-1.3289[/C][C]0.092926[/C][/ROW]
[ROW][C]38[/C][C]-0.490126[/C][C]-6.0625[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]-0.059384[/C][C]-0.7345[/C][C]0.231872[/C][/ROW]
[ROW][C]40[/C][C]0.648374[/C][C]8.0199[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]-0.114508[/C][C]-1.4164[/C][C]0.079348[/C][/ROW]
[ROW][C]42[/C][C]-0.464011[/C][C]-5.7395[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]-0.055135[/C][C]-0.682[/C][C]0.248141[/C][/ROW]
[ROW][C]44[/C][C]0.619123[/C][C]7.6581[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]-0.10732[/C][C]-1.3275[/C][C]0.093165[/C][/ROW]
[ROW][C]46[/C][C]-0.438583[/C][C]-5.425[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]-0.067409[/C][C]-0.8338[/C][C]0.202845[/C][/ROW]
[ROW][C]48[/C][C]0.613193[/C][C]7.5848[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32466&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32466&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
1-0.216209-2.67440.004151
2-0.564346-6.98060
3-0.159396-1.97160.025229
40.90081811.14250
5-0.168075-2.0790.019644
6-0.565723-6.99760
7-0.145406-1.79860.037029
80.85973810.63440
9-0.1398-1.72920.042892
10-0.573926-7.09910
11-0.126471-1.56440.0599
120.83932310.38190
13-0.148724-1.83960.033882
14-0.558492-6.90820
15-0.10277-1.27120.102794
160.798029.8710
17-0.150997-1.86770.031856
18-0.521828-6.45470
19-0.119178-1.47420.071248
200.781189.66270
21-0.137185-1.69690.045876
22-0.529753-6.55270
23-0.093196-1.15280.125401
240.7479359.25140
25-0.137825-1.70480.04513
26-0.505802-6.25640
27-0.098239-1.21520.11309
280.7348629.08970
29-0.135765-1.67930.047565
30-0.493007-6.09820
31-0.087171-1.07820.141312
320.6966258.61680
33-0.112188-1.38770.083626
34-0.49489-6.12140
35-0.077546-0.95920.169487
360.6752438.35230
37-0.107437-1.32890.092926
38-0.490126-6.06250
39-0.059384-0.73450.231872
400.6483748.01990
41-0.114508-1.41640.079348
42-0.464011-5.73950
43-0.055135-0.6820.248141
440.6191237.65810
45-0.10732-1.32750.093165
46-0.438583-5.4250
47-0.067409-0.83380.202845
480.6131937.58480







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.216209-2.67440.004151
2-0.641059-7.92950
3-0.887315-10.97550
40.1867282.30970.011121
50.2406362.97650.001695
60.1923172.37880.009301
7-0.129695-1.60420.055362
80.0478780.59220.277291
90.1149361.42170.078577
100.0519790.64290.260611
11-0.041367-0.51170.304805
120.1725022.13370.017229
130.0021970.02720.489177
140.0113990.1410.444029
150.079760.98660.162704
160.0789790.97690.165076
17-0.079793-0.9870.162604
180.1169071.44610.075104
19-0.062782-0.77660.219306
20-0.034644-0.42850.334437
210.0523690.64780.259052
22-0.058776-0.7270.234164
230.0002630.00320.498706
24-0.034176-0.42270.336542
25-0.077874-0.96320.168473
260.0383650.47450.317893
27-0.132057-1.63350.052214
280.0284140.35150.362862
290.0473440.58560.279501
300.0022910.02830.488713
310.1272921.57450.058717
32-0.035795-0.44280.329282
330.0403370.49890.309268
340.0312260.38620.349926
35-0.015502-0.19170.424098
360.0267180.33050.370743
370.0340120.42070.33728
38-0.071814-0.88830.187888
390.0421460.52130.30145
400.0649130.80290.211631
41-0.122843-1.51950.065352
420.0183460.22690.41039
430.0055580.06870.472639
44-0.076033-0.94050.174228
450.0207350.25650.398965
460.0699270.86490.194212
470.0254360.31460.376735
480.1027021.27040.102943

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.216209 & -2.6744 & 0.004151 \tabularnewline
2 & -0.641059 & -7.9295 & 0 \tabularnewline
3 & -0.887315 & -10.9755 & 0 \tabularnewline
4 & 0.186728 & 2.3097 & 0.011121 \tabularnewline
5 & 0.240636 & 2.9765 & 0.001695 \tabularnewline
6 & 0.192317 & 2.3788 & 0.009301 \tabularnewline
7 & -0.129695 & -1.6042 & 0.055362 \tabularnewline
8 & 0.047878 & 0.5922 & 0.277291 \tabularnewline
9 & 0.114936 & 1.4217 & 0.078577 \tabularnewline
10 & 0.051979 & 0.6429 & 0.260611 \tabularnewline
11 & -0.041367 & -0.5117 & 0.304805 \tabularnewline
12 & 0.172502 & 2.1337 & 0.017229 \tabularnewline
13 & 0.002197 & 0.0272 & 0.489177 \tabularnewline
14 & 0.011399 & 0.141 & 0.444029 \tabularnewline
15 & 0.07976 & 0.9866 & 0.162704 \tabularnewline
16 & 0.078979 & 0.9769 & 0.165076 \tabularnewline
17 & -0.079793 & -0.987 & 0.162604 \tabularnewline
18 & 0.116907 & 1.4461 & 0.075104 \tabularnewline
19 & -0.062782 & -0.7766 & 0.219306 \tabularnewline
20 & -0.034644 & -0.4285 & 0.334437 \tabularnewline
21 & 0.052369 & 0.6478 & 0.259052 \tabularnewline
22 & -0.058776 & -0.727 & 0.234164 \tabularnewline
23 & 0.000263 & 0.0032 & 0.498706 \tabularnewline
24 & -0.034176 & -0.4227 & 0.336542 \tabularnewline
25 & -0.077874 & -0.9632 & 0.168473 \tabularnewline
26 & 0.038365 & 0.4745 & 0.317893 \tabularnewline
27 & -0.132057 & -1.6335 & 0.052214 \tabularnewline
28 & 0.028414 & 0.3515 & 0.362862 \tabularnewline
29 & 0.047344 & 0.5856 & 0.279501 \tabularnewline
30 & 0.002291 & 0.0283 & 0.488713 \tabularnewline
31 & 0.127292 & 1.5745 & 0.058717 \tabularnewline
32 & -0.035795 & -0.4428 & 0.329282 \tabularnewline
33 & 0.040337 & 0.4989 & 0.309268 \tabularnewline
34 & 0.031226 & 0.3862 & 0.349926 \tabularnewline
35 & -0.015502 & -0.1917 & 0.424098 \tabularnewline
36 & 0.026718 & 0.3305 & 0.370743 \tabularnewline
37 & 0.034012 & 0.4207 & 0.33728 \tabularnewline
38 & -0.071814 & -0.8883 & 0.187888 \tabularnewline
39 & 0.042146 & 0.5213 & 0.30145 \tabularnewline
40 & 0.064913 & 0.8029 & 0.211631 \tabularnewline
41 & -0.122843 & -1.5195 & 0.065352 \tabularnewline
42 & 0.018346 & 0.2269 & 0.41039 \tabularnewline
43 & 0.005558 & 0.0687 & 0.472639 \tabularnewline
44 & -0.076033 & -0.9405 & 0.174228 \tabularnewline
45 & 0.020735 & 0.2565 & 0.398965 \tabularnewline
46 & 0.069927 & 0.8649 & 0.194212 \tabularnewline
47 & 0.025436 & 0.3146 & 0.376735 \tabularnewline
48 & 0.102702 & 1.2704 & 0.102943 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32466&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]-0.216209[/C][C]-2.6744[/C][C]0.004151[/C][/ROW]
[ROW][C]2[/C][C]-0.641059[/C][C]-7.9295[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]-0.887315[/C][C]-10.9755[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.186728[/C][C]2.3097[/C][C]0.011121[/C][/ROW]
[ROW][C]5[/C][C]0.240636[/C][C]2.9765[/C][C]0.001695[/C][/ROW]
[ROW][C]6[/C][C]0.192317[/C][C]2.3788[/C][C]0.009301[/C][/ROW]
[ROW][C]7[/C][C]-0.129695[/C][C]-1.6042[/C][C]0.055362[/C][/ROW]
[ROW][C]8[/C][C]0.047878[/C][C]0.5922[/C][C]0.277291[/C][/ROW]
[ROW][C]9[/C][C]0.114936[/C][C]1.4217[/C][C]0.078577[/C][/ROW]
[ROW][C]10[/C][C]0.051979[/C][C]0.6429[/C][C]0.260611[/C][/ROW]
[ROW][C]11[/C][C]-0.041367[/C][C]-0.5117[/C][C]0.304805[/C][/ROW]
[ROW][C]12[/C][C]0.172502[/C][C]2.1337[/C][C]0.017229[/C][/ROW]
[ROW][C]13[/C][C]0.002197[/C][C]0.0272[/C][C]0.489177[/C][/ROW]
[ROW][C]14[/C][C]0.011399[/C][C]0.141[/C][C]0.444029[/C][/ROW]
[ROW][C]15[/C][C]0.07976[/C][C]0.9866[/C][C]0.162704[/C][/ROW]
[ROW][C]16[/C][C]0.078979[/C][C]0.9769[/C][C]0.165076[/C][/ROW]
[ROW][C]17[/C][C]-0.079793[/C][C]-0.987[/C][C]0.162604[/C][/ROW]
[ROW][C]18[/C][C]0.116907[/C][C]1.4461[/C][C]0.075104[/C][/ROW]
[ROW][C]19[/C][C]-0.062782[/C][C]-0.7766[/C][C]0.219306[/C][/ROW]
[ROW][C]20[/C][C]-0.034644[/C][C]-0.4285[/C][C]0.334437[/C][/ROW]
[ROW][C]21[/C][C]0.052369[/C][C]0.6478[/C][C]0.259052[/C][/ROW]
[ROW][C]22[/C][C]-0.058776[/C][C]-0.727[/C][C]0.234164[/C][/ROW]
[ROW][C]23[/C][C]0.000263[/C][C]0.0032[/C][C]0.498706[/C][/ROW]
[ROW][C]24[/C][C]-0.034176[/C][C]-0.4227[/C][C]0.336542[/C][/ROW]
[ROW][C]25[/C][C]-0.077874[/C][C]-0.9632[/C][C]0.168473[/C][/ROW]
[ROW][C]26[/C][C]0.038365[/C][C]0.4745[/C][C]0.317893[/C][/ROW]
[ROW][C]27[/C][C]-0.132057[/C][C]-1.6335[/C][C]0.052214[/C][/ROW]
[ROW][C]28[/C][C]0.028414[/C][C]0.3515[/C][C]0.362862[/C][/ROW]
[ROW][C]29[/C][C]0.047344[/C][C]0.5856[/C][C]0.279501[/C][/ROW]
[ROW][C]30[/C][C]0.002291[/C][C]0.0283[/C][C]0.488713[/C][/ROW]
[ROW][C]31[/C][C]0.127292[/C][C]1.5745[/C][C]0.058717[/C][/ROW]
[ROW][C]32[/C][C]-0.035795[/C][C]-0.4428[/C][C]0.329282[/C][/ROW]
[ROW][C]33[/C][C]0.040337[/C][C]0.4989[/C][C]0.309268[/C][/ROW]
[ROW][C]34[/C][C]0.031226[/C][C]0.3862[/C][C]0.349926[/C][/ROW]
[ROW][C]35[/C][C]-0.015502[/C][C]-0.1917[/C][C]0.424098[/C][/ROW]
[ROW][C]36[/C][C]0.026718[/C][C]0.3305[/C][C]0.370743[/C][/ROW]
[ROW][C]37[/C][C]0.034012[/C][C]0.4207[/C][C]0.33728[/C][/ROW]
[ROW][C]38[/C][C]-0.071814[/C][C]-0.8883[/C][C]0.187888[/C][/ROW]
[ROW][C]39[/C][C]0.042146[/C][C]0.5213[/C][C]0.30145[/C][/ROW]
[ROW][C]40[/C][C]0.064913[/C][C]0.8029[/C][C]0.211631[/C][/ROW]
[ROW][C]41[/C][C]-0.122843[/C][C]-1.5195[/C][C]0.065352[/C][/ROW]
[ROW][C]42[/C][C]0.018346[/C][C]0.2269[/C][C]0.41039[/C][/ROW]
[ROW][C]43[/C][C]0.005558[/C][C]0.0687[/C][C]0.472639[/C][/ROW]
[ROW][C]44[/C][C]-0.076033[/C][C]-0.9405[/C][C]0.174228[/C][/ROW]
[ROW][C]45[/C][C]0.020735[/C][C]0.2565[/C][C]0.398965[/C][/ROW]
[ROW][C]46[/C][C]0.069927[/C][C]0.8649[/C][C]0.194212[/C][/ROW]
[ROW][C]47[/C][C]0.025436[/C][C]0.3146[/C][C]0.376735[/C][/ROW]
[ROW][C]48[/C][C]0.102702[/C][C]1.2704[/C][C]0.102943[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32466&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32466&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
1-0.216209-2.67440.004151
2-0.641059-7.92950
3-0.887315-10.97550
40.1867282.30970.011121
50.2406362.97650.001695
60.1923172.37880.009301
7-0.129695-1.60420.055362
80.0478780.59220.277291
90.1149361.42170.078577
100.0519790.64290.260611
11-0.041367-0.51170.304805
120.1725022.13370.017229
130.0021970.02720.489177
140.0113990.1410.444029
150.079760.98660.162704
160.0789790.97690.165076
17-0.079793-0.9870.162604
180.1169071.44610.075104
19-0.062782-0.77660.219306
20-0.034644-0.42850.334437
210.0523690.64780.259052
22-0.058776-0.7270.234164
230.0002630.00320.498706
24-0.034176-0.42270.336542
25-0.077874-0.96320.168473
260.0383650.47450.317893
27-0.132057-1.63350.052214
280.0284140.35150.362862
290.0473440.58560.279501
300.0022910.02830.488713
310.1272921.57450.058717
32-0.035795-0.44280.329282
330.0403370.49890.309268
340.0312260.38620.349926
35-0.015502-0.19170.424098
360.0267180.33050.370743
370.0340120.42070.33728
38-0.071814-0.88830.187888
390.0421460.52130.30145
400.0649130.80290.211631
41-0.122843-1.51950.065352
420.0183460.22690.41039
430.0055580.06870.472639
44-0.076033-0.94050.174228
450.0207350.25650.398965
460.0699270.86490.194212
470.0254360.31460.376735
480.1027021.27040.102943



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