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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, 14 May 2009 05:49:35 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t1242301822fsrmf0r8y5ztgll.htm/, Retrieved Sun, 28 Apr 2024 22:54:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39980, Retrieved Sun, 28 Apr 2024 22:54:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation2 ...] [2009-05-14 11:49:35] [8c726525c89fb87c09aaacaddee1db18] [Current]
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Dataseries X:
104.9
110.9
104.8
94.1
95.8
99.3
101.1
104.0
99.0
105.4
107.1
110.7
117.1
118.7
126.5
127.5
134.6
131.8
135.9
142.7
141.7
153.4
145.0
137.7
148.3
152.2
169.4
168.6
161.1
174.1
179.0
190.6
190.0
181.6
174.8
180.5
196.8
193.8
197.0
216.3
221.4
217.9
229.7
227.4
204.2
196.6
198.8
207.5
190.7
201.6
210.5
223.5
223.8
231.2
244.0
234.7
250.2
265.7
287.6
283.3
295.4
312.3
333.8
347.7
383.2
407.1
413.6
362.7
321.9
239.4
191.0
159.7
166.7




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=39980&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=39980&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39980&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
10.5893525.00082e-06
20.3879373.29180.000772
30.0904410.76740.22267
4-0.027388-0.23240.408445
5-0.220667-1.87240.032605
6-0.210607-1.78710.039068
7-0.114978-0.97560.166259
8-0.095486-0.81020.210239
9-0.154613-1.31190.096855
10-0.045357-0.38490.350736
11-0.042151-0.35770.360821
12-0.077544-0.6580.256323
13-0.137663-1.16810.123308
14-0.032014-0.27160.393336
150.0093180.07910.468599
16-0.084878-0.72020.236862
17-0.100792-0.85520.197625
18-0.088566-0.75150.227398
19-0.062449-0.52990.298905
20-0.072322-0.61370.270683
210.0254950.21630.414671
220.0549710.46640.321152
230.0871120.73920.231104
240.0699460.59350.277349
250.1587711.34720.091068
260.1136150.96410.169123
270.0183280.15550.438423
28-0.045209-0.38360.351198
29-0.055637-0.47210.319143
30-0.051849-0.440.330646
31-0.076838-0.6520.258242
32-0.039384-0.33420.369605
33-0.015224-0.12920.448789
34-0.003801-0.03230.487179
350.0517210.43890.331035
360.0372840.31640.37632
370.0277190.23520.407359
38-0.024697-0.20960.417301
39-0.02772-0.23520.407357
40-0.022451-0.19050.424724
41-0.015541-0.13190.447727
42-0.011005-0.09340.462929
43-0.064177-0.54460.29387
44-0.026245-0.22270.412203
45-0.003065-0.0260.489662
460.0250850.21290.416021
470.0300370.25490.399775
48-0.005525-0.04690.48137

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.589352 & 5.0008 & 2e-06 \tabularnewline
2 & 0.387937 & 3.2918 & 0.000772 \tabularnewline
3 & 0.090441 & 0.7674 & 0.22267 \tabularnewline
4 & -0.027388 & -0.2324 & 0.408445 \tabularnewline
5 & -0.220667 & -1.8724 & 0.032605 \tabularnewline
6 & -0.210607 & -1.7871 & 0.039068 \tabularnewline
7 & -0.114978 & -0.9756 & 0.166259 \tabularnewline
8 & -0.095486 & -0.8102 & 0.210239 \tabularnewline
9 & -0.154613 & -1.3119 & 0.096855 \tabularnewline
10 & -0.045357 & -0.3849 & 0.350736 \tabularnewline
11 & -0.042151 & -0.3577 & 0.360821 \tabularnewline
12 & -0.077544 & -0.658 & 0.256323 \tabularnewline
13 & -0.137663 & -1.1681 & 0.123308 \tabularnewline
14 & -0.032014 & -0.2716 & 0.393336 \tabularnewline
15 & 0.009318 & 0.0791 & 0.468599 \tabularnewline
16 & -0.084878 & -0.7202 & 0.236862 \tabularnewline
17 & -0.100792 & -0.8552 & 0.197625 \tabularnewline
18 & -0.088566 & -0.7515 & 0.227398 \tabularnewline
19 & -0.062449 & -0.5299 & 0.298905 \tabularnewline
20 & -0.072322 & -0.6137 & 0.270683 \tabularnewline
21 & 0.025495 & 0.2163 & 0.414671 \tabularnewline
22 & 0.054971 & 0.4664 & 0.321152 \tabularnewline
23 & 0.087112 & 0.7392 & 0.231104 \tabularnewline
24 & 0.069946 & 0.5935 & 0.277349 \tabularnewline
25 & 0.158771 & 1.3472 & 0.091068 \tabularnewline
26 & 0.113615 & 0.9641 & 0.169123 \tabularnewline
27 & 0.018328 & 0.1555 & 0.438423 \tabularnewline
28 & -0.045209 & -0.3836 & 0.351198 \tabularnewline
29 & -0.055637 & -0.4721 & 0.319143 \tabularnewline
30 & -0.051849 & -0.44 & 0.330646 \tabularnewline
31 & -0.076838 & -0.652 & 0.258242 \tabularnewline
32 & -0.039384 & -0.3342 & 0.369605 \tabularnewline
33 & -0.015224 & -0.1292 & 0.448789 \tabularnewline
34 & -0.003801 & -0.0323 & 0.487179 \tabularnewline
35 & 0.051721 & 0.4389 & 0.331035 \tabularnewline
36 & 0.037284 & 0.3164 & 0.37632 \tabularnewline
37 & 0.027719 & 0.2352 & 0.407359 \tabularnewline
38 & -0.024697 & -0.2096 & 0.417301 \tabularnewline
39 & -0.02772 & -0.2352 & 0.407357 \tabularnewline
40 & -0.022451 & -0.1905 & 0.424724 \tabularnewline
41 & -0.015541 & -0.1319 & 0.447727 \tabularnewline
42 & -0.011005 & -0.0934 & 0.462929 \tabularnewline
43 & -0.064177 & -0.5446 & 0.29387 \tabularnewline
44 & -0.026245 & -0.2227 & 0.412203 \tabularnewline
45 & -0.003065 & -0.026 & 0.489662 \tabularnewline
46 & 0.025085 & 0.2129 & 0.416021 \tabularnewline
47 & 0.030037 & 0.2549 & 0.399775 \tabularnewline
48 & -0.005525 & -0.0469 & 0.48137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39980&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]0.589352[/C][C]5.0008[/C][C]2e-06[/C][/ROW]
[ROW][C]2[/C][C]0.387937[/C][C]3.2918[/C][C]0.000772[/C][/ROW]
[ROW][C]3[/C][C]0.090441[/C][C]0.7674[/C][C]0.22267[/C][/ROW]
[ROW][C]4[/C][C]-0.027388[/C][C]-0.2324[/C][C]0.408445[/C][/ROW]
[ROW][C]5[/C][C]-0.220667[/C][C]-1.8724[/C][C]0.032605[/C][/ROW]
[ROW][C]6[/C][C]-0.210607[/C][C]-1.7871[/C][C]0.039068[/C][/ROW]
[ROW][C]7[/C][C]-0.114978[/C][C]-0.9756[/C][C]0.166259[/C][/ROW]
[ROW][C]8[/C][C]-0.095486[/C][C]-0.8102[/C][C]0.210239[/C][/ROW]
[ROW][C]9[/C][C]-0.154613[/C][C]-1.3119[/C][C]0.096855[/C][/ROW]
[ROW][C]10[/C][C]-0.045357[/C][C]-0.3849[/C][C]0.350736[/C][/ROW]
[ROW][C]11[/C][C]-0.042151[/C][C]-0.3577[/C][C]0.360821[/C][/ROW]
[ROW][C]12[/C][C]-0.077544[/C][C]-0.658[/C][C]0.256323[/C][/ROW]
[ROW][C]13[/C][C]-0.137663[/C][C]-1.1681[/C][C]0.123308[/C][/ROW]
[ROW][C]14[/C][C]-0.032014[/C][C]-0.2716[/C][C]0.393336[/C][/ROW]
[ROW][C]15[/C][C]0.009318[/C][C]0.0791[/C][C]0.468599[/C][/ROW]
[ROW][C]16[/C][C]-0.084878[/C][C]-0.7202[/C][C]0.236862[/C][/ROW]
[ROW][C]17[/C][C]-0.100792[/C][C]-0.8552[/C][C]0.197625[/C][/ROW]
[ROW][C]18[/C][C]-0.088566[/C][C]-0.7515[/C][C]0.227398[/C][/ROW]
[ROW][C]19[/C][C]-0.062449[/C][C]-0.5299[/C][C]0.298905[/C][/ROW]
[ROW][C]20[/C][C]-0.072322[/C][C]-0.6137[/C][C]0.270683[/C][/ROW]
[ROW][C]21[/C][C]0.025495[/C][C]0.2163[/C][C]0.414671[/C][/ROW]
[ROW][C]22[/C][C]0.054971[/C][C]0.4664[/C][C]0.321152[/C][/ROW]
[ROW][C]23[/C][C]0.087112[/C][C]0.7392[/C][C]0.231104[/C][/ROW]
[ROW][C]24[/C][C]0.069946[/C][C]0.5935[/C][C]0.277349[/C][/ROW]
[ROW][C]25[/C][C]0.158771[/C][C]1.3472[/C][C]0.091068[/C][/ROW]
[ROW][C]26[/C][C]0.113615[/C][C]0.9641[/C][C]0.169123[/C][/ROW]
[ROW][C]27[/C][C]0.018328[/C][C]0.1555[/C][C]0.438423[/C][/ROW]
[ROW][C]28[/C][C]-0.045209[/C][C]-0.3836[/C][C]0.351198[/C][/ROW]
[ROW][C]29[/C][C]-0.055637[/C][C]-0.4721[/C][C]0.319143[/C][/ROW]
[ROW][C]30[/C][C]-0.051849[/C][C]-0.44[/C][C]0.330646[/C][/ROW]
[ROW][C]31[/C][C]-0.076838[/C][C]-0.652[/C][C]0.258242[/C][/ROW]
[ROW][C]32[/C][C]-0.039384[/C][C]-0.3342[/C][C]0.369605[/C][/ROW]
[ROW][C]33[/C][C]-0.015224[/C][C]-0.1292[/C][C]0.448789[/C][/ROW]
[ROW][C]34[/C][C]-0.003801[/C][C]-0.0323[/C][C]0.487179[/C][/ROW]
[ROW][C]35[/C][C]0.051721[/C][C]0.4389[/C][C]0.331035[/C][/ROW]
[ROW][C]36[/C][C]0.037284[/C][C]0.3164[/C][C]0.37632[/C][/ROW]
[ROW][C]37[/C][C]0.027719[/C][C]0.2352[/C][C]0.407359[/C][/ROW]
[ROW][C]38[/C][C]-0.024697[/C][C]-0.2096[/C][C]0.417301[/C][/ROW]
[ROW][C]39[/C][C]-0.02772[/C][C]-0.2352[/C][C]0.407357[/C][/ROW]
[ROW][C]40[/C][C]-0.022451[/C][C]-0.1905[/C][C]0.424724[/C][/ROW]
[ROW][C]41[/C][C]-0.015541[/C][C]-0.1319[/C][C]0.447727[/C][/ROW]
[ROW][C]42[/C][C]-0.011005[/C][C]-0.0934[/C][C]0.462929[/C][/ROW]
[ROW][C]43[/C][C]-0.064177[/C][C]-0.5446[/C][C]0.29387[/C][/ROW]
[ROW][C]44[/C][C]-0.026245[/C][C]-0.2227[/C][C]0.412203[/C][/ROW]
[ROW][C]45[/C][C]-0.003065[/C][C]-0.026[/C][C]0.489662[/C][/ROW]
[ROW][C]46[/C][C]0.025085[/C][C]0.2129[/C][C]0.416021[/C][/ROW]
[ROW][C]47[/C][C]0.030037[/C][C]0.2549[/C][C]0.399775[/C][/ROW]
[ROW][C]48[/C][C]-0.005525[/C][C]-0.0469[/C][C]0.48137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39980&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39980&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
10.5893525.00082e-06
20.3879373.29180.000772
30.0904410.76740.22267
4-0.027388-0.23240.408445
5-0.220667-1.87240.032605
6-0.210607-1.78710.039068
7-0.114978-0.97560.166259
8-0.095486-0.81020.210239
9-0.154613-1.31190.096855
10-0.045357-0.38490.350736
11-0.042151-0.35770.360821
12-0.077544-0.6580.256323
13-0.137663-1.16810.123308
14-0.032014-0.27160.393336
150.0093180.07910.468599
16-0.084878-0.72020.236862
17-0.100792-0.85520.197625
18-0.088566-0.75150.227398
19-0.062449-0.52990.298905
20-0.072322-0.61370.270683
210.0254950.21630.414671
220.0549710.46640.321152
230.0871120.73920.231104
240.0699460.59350.277349
250.1587711.34720.091068
260.1136150.96410.169123
270.0183280.15550.438423
28-0.045209-0.38360.351198
29-0.055637-0.47210.319143
30-0.051849-0.440.330646
31-0.076838-0.6520.258242
32-0.039384-0.33420.369605
33-0.015224-0.12920.448789
34-0.003801-0.03230.487179
350.0517210.43890.331035
360.0372840.31640.37632
370.0277190.23520.407359
38-0.024697-0.20960.417301
39-0.02772-0.23520.407357
40-0.022451-0.19050.424724
41-0.015541-0.13190.447727
42-0.011005-0.09340.462929
43-0.064177-0.54460.29387
44-0.026245-0.22270.412203
45-0.003065-0.0260.489662
460.0250850.21290.416021
470.0300370.25490.399775
48-0.005525-0.04690.48137







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5893525.00082e-06
20.0622080.52790.299612
3-0.24707-2.09650.019778
4-0.016806-0.14260.443499
5-0.199011-1.68870.047806
60.0263550.22360.411839
70.1565241.32820.094161
8-0.141109-1.19740.117548
9-0.197932-1.67950.048694
100.18321.55450.062225
11-0.070703-0.59990.275215
12-0.146133-1.240.109504
13-0.031409-0.26650.395301
140.0809640.6870.247143
150.0373730.31710.376035
16-0.223264-1.89450.031091
17-0.091269-0.77440.220602
180.0123020.10440.458576
190.0813980.69070.245992
20-0.025211-0.21390.415605
21-0.029638-0.25150.401078
22-0.098606-0.83670.202765
230.1475021.25160.107384
240.0452470.38390.351078
25-0.011976-0.10160.45967
26-0.06015-0.51040.305669
27-0.098074-0.83220.204028
280.0588650.49950.309478
29-0.025488-0.21630.414692
300.0038660.03280.48696
31-0.052257-0.44340.329397
320.0116150.09860.460882
33-0.004141-0.03510.486034
340.0355640.30180.381849
350.0569490.48320.315201
36-0.128874-1.09350.138902
370.0104630.08880.46475
380.0379910.32240.374054
390.0017550.01490.494081
40-0.06557-0.55640.28984
410.0369130.31320.37751
420.0083880.07120.471727
43-0.102224-0.86740.194303
440.0786850.66770.253242
450.0048040.04080.483797
46-0.039624-0.33620.368841
470.0324320.27520.391978
48-0.081435-0.6910.245893

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.589352 & 5.0008 & 2e-06 \tabularnewline
2 & 0.062208 & 0.5279 & 0.299612 \tabularnewline
3 & -0.24707 & -2.0965 & 0.019778 \tabularnewline
4 & -0.016806 & -0.1426 & 0.443499 \tabularnewline
5 & -0.199011 & -1.6887 & 0.047806 \tabularnewline
6 & 0.026355 & 0.2236 & 0.411839 \tabularnewline
7 & 0.156524 & 1.3282 & 0.094161 \tabularnewline
8 & -0.141109 & -1.1974 & 0.117548 \tabularnewline
9 & -0.197932 & -1.6795 & 0.048694 \tabularnewline
10 & 0.1832 & 1.5545 & 0.062225 \tabularnewline
11 & -0.070703 & -0.5999 & 0.275215 \tabularnewline
12 & -0.146133 & -1.24 & 0.109504 \tabularnewline
13 & -0.031409 & -0.2665 & 0.395301 \tabularnewline
14 & 0.080964 & 0.687 & 0.247143 \tabularnewline
15 & 0.037373 & 0.3171 & 0.376035 \tabularnewline
16 & -0.223264 & -1.8945 & 0.031091 \tabularnewline
17 & -0.091269 & -0.7744 & 0.220602 \tabularnewline
18 & 0.012302 & 0.1044 & 0.458576 \tabularnewline
19 & 0.081398 & 0.6907 & 0.245992 \tabularnewline
20 & -0.025211 & -0.2139 & 0.415605 \tabularnewline
21 & -0.029638 & -0.2515 & 0.401078 \tabularnewline
22 & -0.098606 & -0.8367 & 0.202765 \tabularnewline
23 & 0.147502 & 1.2516 & 0.107384 \tabularnewline
24 & 0.045247 & 0.3839 & 0.351078 \tabularnewline
25 & -0.011976 & -0.1016 & 0.45967 \tabularnewline
26 & -0.06015 & -0.5104 & 0.305669 \tabularnewline
27 & -0.098074 & -0.8322 & 0.204028 \tabularnewline
28 & 0.058865 & 0.4995 & 0.309478 \tabularnewline
29 & -0.025488 & -0.2163 & 0.414692 \tabularnewline
30 & 0.003866 & 0.0328 & 0.48696 \tabularnewline
31 & -0.052257 & -0.4434 & 0.329397 \tabularnewline
32 & 0.011615 & 0.0986 & 0.460882 \tabularnewline
33 & -0.004141 & -0.0351 & 0.486034 \tabularnewline
34 & 0.035564 & 0.3018 & 0.381849 \tabularnewline
35 & 0.056949 & 0.4832 & 0.315201 \tabularnewline
36 & -0.128874 & -1.0935 & 0.138902 \tabularnewline
37 & 0.010463 & 0.0888 & 0.46475 \tabularnewline
38 & 0.037991 & 0.3224 & 0.374054 \tabularnewline
39 & 0.001755 & 0.0149 & 0.494081 \tabularnewline
40 & -0.06557 & -0.5564 & 0.28984 \tabularnewline
41 & 0.036913 & 0.3132 & 0.37751 \tabularnewline
42 & 0.008388 & 0.0712 & 0.471727 \tabularnewline
43 & -0.102224 & -0.8674 & 0.194303 \tabularnewline
44 & 0.078685 & 0.6677 & 0.253242 \tabularnewline
45 & 0.004804 & 0.0408 & 0.483797 \tabularnewline
46 & -0.039624 & -0.3362 & 0.368841 \tabularnewline
47 & 0.032432 & 0.2752 & 0.391978 \tabularnewline
48 & -0.081435 & -0.691 & 0.245893 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39980&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]0.589352[/C][C]5.0008[/C][C]2e-06[/C][/ROW]
[ROW][C]2[/C][C]0.062208[/C][C]0.5279[/C][C]0.299612[/C][/ROW]
[ROW][C]3[/C][C]-0.24707[/C][C]-2.0965[/C][C]0.019778[/C][/ROW]
[ROW][C]4[/C][C]-0.016806[/C][C]-0.1426[/C][C]0.443499[/C][/ROW]
[ROW][C]5[/C][C]-0.199011[/C][C]-1.6887[/C][C]0.047806[/C][/ROW]
[ROW][C]6[/C][C]0.026355[/C][C]0.2236[/C][C]0.411839[/C][/ROW]
[ROW][C]7[/C][C]0.156524[/C][C]1.3282[/C][C]0.094161[/C][/ROW]
[ROW][C]8[/C][C]-0.141109[/C][C]-1.1974[/C][C]0.117548[/C][/ROW]
[ROW][C]9[/C][C]-0.197932[/C][C]-1.6795[/C][C]0.048694[/C][/ROW]
[ROW][C]10[/C][C]0.1832[/C][C]1.5545[/C][C]0.062225[/C][/ROW]
[ROW][C]11[/C][C]-0.070703[/C][C]-0.5999[/C][C]0.275215[/C][/ROW]
[ROW][C]12[/C][C]-0.146133[/C][C]-1.24[/C][C]0.109504[/C][/ROW]
[ROW][C]13[/C][C]-0.031409[/C][C]-0.2665[/C][C]0.395301[/C][/ROW]
[ROW][C]14[/C][C]0.080964[/C][C]0.687[/C][C]0.247143[/C][/ROW]
[ROW][C]15[/C][C]0.037373[/C][C]0.3171[/C][C]0.376035[/C][/ROW]
[ROW][C]16[/C][C]-0.223264[/C][C]-1.8945[/C][C]0.031091[/C][/ROW]
[ROW][C]17[/C][C]-0.091269[/C][C]-0.7744[/C][C]0.220602[/C][/ROW]
[ROW][C]18[/C][C]0.012302[/C][C]0.1044[/C][C]0.458576[/C][/ROW]
[ROW][C]19[/C][C]0.081398[/C][C]0.6907[/C][C]0.245992[/C][/ROW]
[ROW][C]20[/C][C]-0.025211[/C][C]-0.2139[/C][C]0.415605[/C][/ROW]
[ROW][C]21[/C][C]-0.029638[/C][C]-0.2515[/C][C]0.401078[/C][/ROW]
[ROW][C]22[/C][C]-0.098606[/C][C]-0.8367[/C][C]0.202765[/C][/ROW]
[ROW][C]23[/C][C]0.147502[/C][C]1.2516[/C][C]0.107384[/C][/ROW]
[ROW][C]24[/C][C]0.045247[/C][C]0.3839[/C][C]0.351078[/C][/ROW]
[ROW][C]25[/C][C]-0.011976[/C][C]-0.1016[/C][C]0.45967[/C][/ROW]
[ROW][C]26[/C][C]-0.06015[/C][C]-0.5104[/C][C]0.305669[/C][/ROW]
[ROW][C]27[/C][C]-0.098074[/C][C]-0.8322[/C][C]0.204028[/C][/ROW]
[ROW][C]28[/C][C]0.058865[/C][C]0.4995[/C][C]0.309478[/C][/ROW]
[ROW][C]29[/C][C]-0.025488[/C][C]-0.2163[/C][C]0.414692[/C][/ROW]
[ROW][C]30[/C][C]0.003866[/C][C]0.0328[/C][C]0.48696[/C][/ROW]
[ROW][C]31[/C][C]-0.052257[/C][C]-0.4434[/C][C]0.329397[/C][/ROW]
[ROW][C]32[/C][C]0.011615[/C][C]0.0986[/C][C]0.460882[/C][/ROW]
[ROW][C]33[/C][C]-0.004141[/C][C]-0.0351[/C][C]0.486034[/C][/ROW]
[ROW][C]34[/C][C]0.035564[/C][C]0.3018[/C][C]0.381849[/C][/ROW]
[ROW][C]35[/C][C]0.056949[/C][C]0.4832[/C][C]0.315201[/C][/ROW]
[ROW][C]36[/C][C]-0.128874[/C][C]-1.0935[/C][C]0.138902[/C][/ROW]
[ROW][C]37[/C][C]0.010463[/C][C]0.0888[/C][C]0.46475[/C][/ROW]
[ROW][C]38[/C][C]0.037991[/C][C]0.3224[/C][C]0.374054[/C][/ROW]
[ROW][C]39[/C][C]0.001755[/C][C]0.0149[/C][C]0.494081[/C][/ROW]
[ROW][C]40[/C][C]-0.06557[/C][C]-0.5564[/C][C]0.28984[/C][/ROW]
[ROW][C]41[/C][C]0.036913[/C][C]0.3132[/C][C]0.37751[/C][/ROW]
[ROW][C]42[/C][C]0.008388[/C][C]0.0712[/C][C]0.471727[/C][/ROW]
[ROW][C]43[/C][C]-0.102224[/C][C]-0.8674[/C][C]0.194303[/C][/ROW]
[ROW][C]44[/C][C]0.078685[/C][C]0.6677[/C][C]0.253242[/C][/ROW]
[ROW][C]45[/C][C]0.004804[/C][C]0.0408[/C][C]0.483797[/C][/ROW]
[ROW][C]46[/C][C]-0.039624[/C][C]-0.3362[/C][C]0.368841[/C][/ROW]
[ROW][C]47[/C][C]0.032432[/C][C]0.2752[/C][C]0.391978[/C][/ROW]
[ROW][C]48[/C][C]-0.081435[/C][C]-0.691[/C][C]0.245893[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39980&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39980&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
10.5893525.00082e-06
20.0622080.52790.299612
3-0.24707-2.09650.019778
4-0.016806-0.14260.443499
5-0.199011-1.68870.047806
60.0263550.22360.411839
70.1565241.32820.094161
8-0.141109-1.19740.117548
9-0.197932-1.67950.048694
100.18321.55450.062225
11-0.070703-0.59990.275215
12-0.146133-1.240.109504
13-0.031409-0.26650.395301
140.0809640.6870.247143
150.0373730.31710.376035
16-0.223264-1.89450.031091
17-0.091269-0.77440.220602
180.0123020.10440.458576
190.0813980.69070.245992
20-0.025211-0.21390.415605
21-0.029638-0.25150.401078
22-0.098606-0.83670.202765
230.1475021.25160.107384
240.0452470.38390.351078
25-0.011976-0.10160.45967
26-0.06015-0.51040.305669
27-0.098074-0.83220.204028
280.0588650.49950.309478
29-0.025488-0.21630.414692
300.0038660.03280.48696
31-0.052257-0.44340.329397
320.0116150.09860.460882
33-0.004141-0.03510.486034
340.0355640.30180.381849
350.0569490.48320.315201
36-0.128874-1.09350.138902
370.0104630.08880.46475
380.0379910.32240.374054
390.0017550.01490.494081
40-0.06557-0.55640.28984
410.0369130.31320.37751
420.0083880.07120.471727
43-0.102224-0.86740.194303
440.0786850.66770.253242
450.0048040.04080.483797
46-0.039624-0.33620.368841
470.0324320.27520.391978
48-0.081435-0.6910.245893



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')