Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 18 Dec 2007 00:31:29 -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/18/t1197962115qop6tffcpixq5ji.htm/, Retrieved Sat, 04 May 2024 14:57:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4449, Retrieved Sat, 04 May 2024 14:57:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [ACF - Serie 3 - P...] [2007-12-18 07:31:29] [921757a21ec3444367392306fe4aab7f] [Current]
Feedback Forum

Post a new message
Dataseries X:
2,9
2,6
2,5
3,2
3,1
3,1
2,9
2,5
2,8
3,1
2,6
2,3
2,3
2,6
2,9
2
2,2
2,4
2,3
2,6
1,9
1,1
1,3
1,6
1,7
1,9
1,6
1,8
1,8
1,5
1,6
1
1,5
1,8
1,7
1,2
1,4
1,1
1,3
1,3
1,3
1,3
0,9
1,3
1,8
2,7
2,6
2,9
2,2
2,1
2,3
2,3
2,7
2,6
2,9
3,1
2,8
2,1
2,3
2,2




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4449&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]1 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=4449&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4449&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.8205016.35560
20.6708675.19651e-06
30.5785884.48171.7e-05
40.5201824.02938e-05
50.5126113.97079.7e-05
60.4455573.45130.000514
70.3520842.72720.004181
80.3291422.54950.00668
90.2941632.27860.013133
100.1985351.53780.064672
110.119940.9290.178294
12-0.036255-0.28080.610096
13-0.043551-0.33730.631484
14-0.064435-0.49910.690237
15-0.141754-1.0980.86171
16-0.182511-1.41370.918695
17-0.239614-1.8560.96582
18-0.265617-2.05750.978002
19-0.236571-1.83250.964078
20-0.250057-1.93690.971267
21-0.304978-2.36230.98929
22-0.320729-2.48440.992106
23-0.393711-3.04970.998296
24-0.408885-3.16720.99879
25-0.400275-3.10050.998529
26-0.383169-2.9680.997849
27-0.334963-2.59460.994058
28-0.332145-2.57280.99371
29-0.3471-2.68860.995363
30-0.342003-2.64910.99485
31-0.339376-2.62880.994567
32-0.333332-2.5820.993859
33-0.304163-2.3560.989122
34-0.300013-2.32390.988232
35-0.239263-1.85330.965623
36-0.157363-1.21890.886179
37-0.133834-1.03670.847977
38-0.095647-0.74090.769173
39-0.066931-0.51840.696972
40-0.016447-0.12740.550473
410.0540620.41880.338444
420.0925780.71710.238046
430.0958080.74210.230453
440.1206410.93450.176901
450.1383511.07170.144082
460.1474961.14250.128892
470.1471991.14020.129367

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.820501 & 6.3556 & 0 \tabularnewline
2 & 0.670867 & 5.1965 & 1e-06 \tabularnewline
3 & 0.578588 & 4.4817 & 1.7e-05 \tabularnewline
4 & 0.520182 & 4.0293 & 8e-05 \tabularnewline
5 & 0.512611 & 3.9707 & 9.7e-05 \tabularnewline
6 & 0.445557 & 3.4513 & 0.000514 \tabularnewline
7 & 0.352084 & 2.7272 & 0.004181 \tabularnewline
8 & 0.329142 & 2.5495 & 0.00668 \tabularnewline
9 & 0.294163 & 2.2786 & 0.013133 \tabularnewline
10 & 0.198535 & 1.5378 & 0.064672 \tabularnewline
11 & 0.11994 & 0.929 & 0.178294 \tabularnewline
12 & -0.036255 & -0.2808 & 0.610096 \tabularnewline
13 & -0.043551 & -0.3373 & 0.631484 \tabularnewline
14 & -0.064435 & -0.4991 & 0.690237 \tabularnewline
15 & -0.141754 & -1.098 & 0.86171 \tabularnewline
16 & -0.182511 & -1.4137 & 0.918695 \tabularnewline
17 & -0.239614 & -1.856 & 0.96582 \tabularnewline
18 & -0.265617 & -2.0575 & 0.978002 \tabularnewline
19 & -0.236571 & -1.8325 & 0.964078 \tabularnewline
20 & -0.250057 & -1.9369 & 0.971267 \tabularnewline
21 & -0.304978 & -2.3623 & 0.98929 \tabularnewline
22 & -0.320729 & -2.4844 & 0.992106 \tabularnewline
23 & -0.393711 & -3.0497 & 0.998296 \tabularnewline
24 & -0.408885 & -3.1672 & 0.99879 \tabularnewline
25 & -0.400275 & -3.1005 & 0.998529 \tabularnewline
26 & -0.383169 & -2.968 & 0.997849 \tabularnewline
27 & -0.334963 & -2.5946 & 0.994058 \tabularnewline
28 & -0.332145 & -2.5728 & 0.99371 \tabularnewline
29 & -0.3471 & -2.6886 & 0.995363 \tabularnewline
30 & -0.342003 & -2.6491 & 0.99485 \tabularnewline
31 & -0.339376 & -2.6288 & 0.994567 \tabularnewline
32 & -0.333332 & -2.582 & 0.993859 \tabularnewline
33 & -0.304163 & -2.356 & 0.989122 \tabularnewline
34 & -0.300013 & -2.3239 & 0.988232 \tabularnewline
35 & -0.239263 & -1.8533 & 0.965623 \tabularnewline
36 & -0.157363 & -1.2189 & 0.886179 \tabularnewline
37 & -0.133834 & -1.0367 & 0.847977 \tabularnewline
38 & -0.095647 & -0.7409 & 0.769173 \tabularnewline
39 & -0.066931 & -0.5184 & 0.696972 \tabularnewline
40 & -0.016447 & -0.1274 & 0.550473 \tabularnewline
41 & 0.054062 & 0.4188 & 0.338444 \tabularnewline
42 & 0.092578 & 0.7171 & 0.238046 \tabularnewline
43 & 0.095808 & 0.7421 & 0.230453 \tabularnewline
44 & 0.120641 & 0.9345 & 0.176901 \tabularnewline
45 & 0.138351 & 1.0717 & 0.144082 \tabularnewline
46 & 0.147496 & 1.1425 & 0.128892 \tabularnewline
47 & 0.147199 & 1.1402 & 0.129367 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4449&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.820501[/C][C]6.3556[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.670867[/C][C]5.1965[/C][C]1e-06[/C][/ROW]
[ROW][C]3[/C][C]0.578588[/C][C]4.4817[/C][C]1.7e-05[/C][/ROW]
[ROW][C]4[/C][C]0.520182[/C][C]4.0293[/C][C]8e-05[/C][/ROW]
[ROW][C]5[/C][C]0.512611[/C][C]3.9707[/C][C]9.7e-05[/C][/ROW]
[ROW][C]6[/C][C]0.445557[/C][C]3.4513[/C][C]0.000514[/C][/ROW]
[ROW][C]7[/C][C]0.352084[/C][C]2.7272[/C][C]0.004181[/C][/ROW]
[ROW][C]8[/C][C]0.329142[/C][C]2.5495[/C][C]0.00668[/C][/ROW]
[ROW][C]9[/C][C]0.294163[/C][C]2.2786[/C][C]0.013133[/C][/ROW]
[ROW][C]10[/C][C]0.198535[/C][C]1.5378[/C][C]0.064672[/C][/ROW]
[ROW][C]11[/C][C]0.11994[/C][C]0.929[/C][C]0.178294[/C][/ROW]
[ROW][C]12[/C][C]-0.036255[/C][C]-0.2808[/C][C]0.610096[/C][/ROW]
[ROW][C]13[/C][C]-0.043551[/C][C]-0.3373[/C][C]0.631484[/C][/ROW]
[ROW][C]14[/C][C]-0.064435[/C][C]-0.4991[/C][C]0.690237[/C][/ROW]
[ROW][C]15[/C][C]-0.141754[/C][C]-1.098[/C][C]0.86171[/C][/ROW]
[ROW][C]16[/C][C]-0.182511[/C][C]-1.4137[/C][C]0.918695[/C][/ROW]
[ROW][C]17[/C][C]-0.239614[/C][C]-1.856[/C][C]0.96582[/C][/ROW]
[ROW][C]18[/C][C]-0.265617[/C][C]-2.0575[/C][C]0.978002[/C][/ROW]
[ROW][C]19[/C][C]-0.236571[/C][C]-1.8325[/C][C]0.964078[/C][/ROW]
[ROW][C]20[/C][C]-0.250057[/C][C]-1.9369[/C][C]0.971267[/C][/ROW]
[ROW][C]21[/C][C]-0.304978[/C][C]-2.3623[/C][C]0.98929[/C][/ROW]
[ROW][C]22[/C][C]-0.320729[/C][C]-2.4844[/C][C]0.992106[/C][/ROW]
[ROW][C]23[/C][C]-0.393711[/C][C]-3.0497[/C][C]0.998296[/C][/ROW]
[ROW][C]24[/C][C]-0.408885[/C][C]-3.1672[/C][C]0.99879[/C][/ROW]
[ROW][C]25[/C][C]-0.400275[/C][C]-3.1005[/C][C]0.998529[/C][/ROW]
[ROW][C]26[/C][C]-0.383169[/C][C]-2.968[/C][C]0.997849[/C][/ROW]
[ROW][C]27[/C][C]-0.334963[/C][C]-2.5946[/C][C]0.994058[/C][/ROW]
[ROW][C]28[/C][C]-0.332145[/C][C]-2.5728[/C][C]0.99371[/C][/ROW]
[ROW][C]29[/C][C]-0.3471[/C][C]-2.6886[/C][C]0.995363[/C][/ROW]
[ROW][C]30[/C][C]-0.342003[/C][C]-2.6491[/C][C]0.99485[/C][/ROW]
[ROW][C]31[/C][C]-0.339376[/C][C]-2.6288[/C][C]0.994567[/C][/ROW]
[ROW][C]32[/C][C]-0.333332[/C][C]-2.582[/C][C]0.993859[/C][/ROW]
[ROW][C]33[/C][C]-0.304163[/C][C]-2.356[/C][C]0.989122[/C][/ROW]
[ROW][C]34[/C][C]-0.300013[/C][C]-2.3239[/C][C]0.988232[/C][/ROW]
[ROW][C]35[/C][C]-0.239263[/C][C]-1.8533[/C][C]0.965623[/C][/ROW]
[ROW][C]36[/C][C]-0.157363[/C][C]-1.2189[/C][C]0.886179[/C][/ROW]
[ROW][C]37[/C][C]-0.133834[/C][C]-1.0367[/C][C]0.847977[/C][/ROW]
[ROW][C]38[/C][C]-0.095647[/C][C]-0.7409[/C][C]0.769173[/C][/ROW]
[ROW][C]39[/C][C]-0.066931[/C][C]-0.5184[/C][C]0.696972[/C][/ROW]
[ROW][C]40[/C][C]-0.016447[/C][C]-0.1274[/C][C]0.550473[/C][/ROW]
[ROW][C]41[/C][C]0.054062[/C][C]0.4188[/C][C]0.338444[/C][/ROW]
[ROW][C]42[/C][C]0.092578[/C][C]0.7171[/C][C]0.238046[/C][/ROW]
[ROW][C]43[/C][C]0.095808[/C][C]0.7421[/C][C]0.230453[/C][/ROW]
[ROW][C]44[/C][C]0.120641[/C][C]0.9345[/C][C]0.176901[/C][/ROW]
[ROW][C]45[/C][C]0.138351[/C][C]1.0717[/C][C]0.144082[/C][/ROW]
[ROW][C]46[/C][C]0.147496[/C][C]1.1425[/C][C]0.128892[/C][/ROW]
[ROW][C]47[/C][C]0.147199[/C][C]1.1402[/C][C]0.129367[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4449&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4449&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
017.7460
10.8205016.35560
20.6708675.19651e-06
30.5785884.48171.7e-05
40.5201824.02938e-05
50.5126113.97079.7e-05
60.4455573.45130.000514
70.3520842.72720.004181
80.3291422.54950.00668
90.2941632.27860.013133
100.1985351.53780.064672
110.119940.9290.178294
12-0.036255-0.28080.610096
13-0.043551-0.33730.631484
14-0.064435-0.49910.690237
15-0.141754-1.0980.86171
16-0.182511-1.41370.918695
17-0.239614-1.8560.96582
18-0.265617-2.05750.978002
19-0.236571-1.83250.964078
20-0.250057-1.93690.971267
21-0.304978-2.36230.98929
22-0.320729-2.48440.992106
23-0.393711-3.04970.998296
24-0.408885-3.16720.99879
25-0.400275-3.10050.998529
26-0.383169-2.9680.997849
27-0.334963-2.59460.994058
28-0.332145-2.57280.99371
29-0.3471-2.68860.995363
30-0.342003-2.64910.99485
31-0.339376-2.62880.994567
32-0.333332-2.5820.993859
33-0.304163-2.3560.989122
34-0.300013-2.32390.988232
35-0.239263-1.85330.965623
36-0.157363-1.21890.886179
37-0.133834-1.03670.847977
38-0.095647-0.74090.769173
39-0.066931-0.51840.696972
40-0.016447-0.12740.550473
410.0540620.41880.338444
420.0925780.71710.238046
430.0958080.74210.230453
440.1206410.93450.176901
450.1383511.07170.144082
460.1474961.14250.128892
470.1471991.14020.129367







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8205016.35560
1-0.007207-0.05580.522167
20.0920770.71320.239236
30.0678360.52550.300601
40.157411.21930.113752
5-0.134389-1.0410.848968
6-0.084853-0.65730.743238
70.1452771.12530.132469
8-0.052953-0.41020.658429
9-0.239309-1.85370.965649
10-0.012072-0.09350.537094
11-0.305169-2.36380.989329
120.2849342.20710.015572
13-0.224622-1.73990.956499
14-0.062888-0.48710.686028
150.0320210.2480.402479
16-0.052337-0.40540.656688
17-0.000466-0.00360.501436
180.0791210.61290.27114
190.0039820.03080.487749
20-0.093202-0.72190.763431
21-0.110449-0.85550.80217
22-0.121941-0.94460.825662
23-0.13044-1.01040.841816
240.14861.1510.12714
250.0129310.10020.460274
26-0.053171-0.41190.659044
27-0.056263-0.43580.667731
28-0.088063-0.68210.75111
29-0.026886-0.20830.582133
300.0299990.23240.408521
31-0.017885-0.13850.55486
32-0.066612-0.5160.696117
33-0.006729-0.05210.520697
340.0242060.18750.42595
350.0692180.53620.296915
36-0.034523-0.26740.604966
370.087150.67510.251116
38-0.036221-0.28060.609997
390.0449350.34810.364506
40-0.014689-0.11380.545103
410.0358670.27780.391051
42-0.021916-0.16980.567115
43-0.001694-0.01310.505214
44-0.108931-0.84380.798928
45-0.14236-1.10270.862723
46-0.084925-0.65780.743417
470.0089680.06950.472426

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.820501 & 6.3556 & 0 \tabularnewline
1 & -0.007207 & -0.0558 & 0.522167 \tabularnewline
2 & 0.092077 & 0.7132 & 0.239236 \tabularnewline
3 & 0.067836 & 0.5255 & 0.300601 \tabularnewline
4 & 0.15741 & 1.2193 & 0.113752 \tabularnewline
5 & -0.134389 & -1.041 & 0.848968 \tabularnewline
6 & -0.084853 & -0.6573 & 0.743238 \tabularnewline
7 & 0.145277 & 1.1253 & 0.132469 \tabularnewline
8 & -0.052953 & -0.4102 & 0.658429 \tabularnewline
9 & -0.239309 & -1.8537 & 0.965649 \tabularnewline
10 & -0.012072 & -0.0935 & 0.537094 \tabularnewline
11 & -0.305169 & -2.3638 & 0.989329 \tabularnewline
12 & 0.284934 & 2.2071 & 0.015572 \tabularnewline
13 & -0.224622 & -1.7399 & 0.956499 \tabularnewline
14 & -0.062888 & -0.4871 & 0.686028 \tabularnewline
15 & 0.032021 & 0.248 & 0.402479 \tabularnewline
16 & -0.052337 & -0.4054 & 0.656688 \tabularnewline
17 & -0.000466 & -0.0036 & 0.501436 \tabularnewline
18 & 0.079121 & 0.6129 & 0.27114 \tabularnewline
19 & 0.003982 & 0.0308 & 0.487749 \tabularnewline
20 & -0.093202 & -0.7219 & 0.763431 \tabularnewline
21 & -0.110449 & -0.8555 & 0.80217 \tabularnewline
22 & -0.121941 & -0.9446 & 0.825662 \tabularnewline
23 & -0.13044 & -1.0104 & 0.841816 \tabularnewline
24 & 0.1486 & 1.151 & 0.12714 \tabularnewline
25 & 0.012931 & 0.1002 & 0.460274 \tabularnewline
26 & -0.053171 & -0.4119 & 0.659044 \tabularnewline
27 & -0.056263 & -0.4358 & 0.667731 \tabularnewline
28 & -0.088063 & -0.6821 & 0.75111 \tabularnewline
29 & -0.026886 & -0.2083 & 0.582133 \tabularnewline
30 & 0.029999 & 0.2324 & 0.408521 \tabularnewline
31 & -0.017885 & -0.1385 & 0.55486 \tabularnewline
32 & -0.066612 & -0.516 & 0.696117 \tabularnewline
33 & -0.006729 & -0.0521 & 0.520697 \tabularnewline
34 & 0.024206 & 0.1875 & 0.42595 \tabularnewline
35 & 0.069218 & 0.5362 & 0.296915 \tabularnewline
36 & -0.034523 & -0.2674 & 0.604966 \tabularnewline
37 & 0.08715 & 0.6751 & 0.251116 \tabularnewline
38 & -0.036221 & -0.2806 & 0.609997 \tabularnewline
39 & 0.044935 & 0.3481 & 0.364506 \tabularnewline
40 & -0.014689 & -0.1138 & 0.545103 \tabularnewline
41 & 0.035867 & 0.2778 & 0.391051 \tabularnewline
42 & -0.021916 & -0.1698 & 0.567115 \tabularnewline
43 & -0.001694 & -0.0131 & 0.505214 \tabularnewline
44 & -0.108931 & -0.8438 & 0.798928 \tabularnewline
45 & -0.14236 & -1.1027 & 0.862723 \tabularnewline
46 & -0.084925 & -0.6578 & 0.743417 \tabularnewline
47 & 0.008968 & 0.0695 & 0.472426 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4449&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]0.820501[/C][C]6.3556[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.007207[/C][C]-0.0558[/C][C]0.522167[/C][/ROW]
[ROW][C]2[/C][C]0.092077[/C][C]0.7132[/C][C]0.239236[/C][/ROW]
[ROW][C]3[/C][C]0.067836[/C][C]0.5255[/C][C]0.300601[/C][/ROW]
[ROW][C]4[/C][C]0.15741[/C][C]1.2193[/C][C]0.113752[/C][/ROW]
[ROW][C]5[/C][C]-0.134389[/C][C]-1.041[/C][C]0.848968[/C][/ROW]
[ROW][C]6[/C][C]-0.084853[/C][C]-0.6573[/C][C]0.743238[/C][/ROW]
[ROW][C]7[/C][C]0.145277[/C][C]1.1253[/C][C]0.132469[/C][/ROW]
[ROW][C]8[/C][C]-0.052953[/C][C]-0.4102[/C][C]0.658429[/C][/ROW]
[ROW][C]9[/C][C]-0.239309[/C][C]-1.8537[/C][C]0.965649[/C][/ROW]
[ROW][C]10[/C][C]-0.012072[/C][C]-0.0935[/C][C]0.537094[/C][/ROW]
[ROW][C]11[/C][C]-0.305169[/C][C]-2.3638[/C][C]0.989329[/C][/ROW]
[ROW][C]12[/C][C]0.284934[/C][C]2.2071[/C][C]0.015572[/C][/ROW]
[ROW][C]13[/C][C]-0.224622[/C][C]-1.7399[/C][C]0.956499[/C][/ROW]
[ROW][C]14[/C][C]-0.062888[/C][C]-0.4871[/C][C]0.686028[/C][/ROW]
[ROW][C]15[/C][C]0.032021[/C][C]0.248[/C][C]0.402479[/C][/ROW]
[ROW][C]16[/C][C]-0.052337[/C][C]-0.4054[/C][C]0.656688[/C][/ROW]
[ROW][C]17[/C][C]-0.000466[/C][C]-0.0036[/C][C]0.501436[/C][/ROW]
[ROW][C]18[/C][C]0.079121[/C][C]0.6129[/C][C]0.27114[/C][/ROW]
[ROW][C]19[/C][C]0.003982[/C][C]0.0308[/C][C]0.487749[/C][/ROW]
[ROW][C]20[/C][C]-0.093202[/C][C]-0.7219[/C][C]0.763431[/C][/ROW]
[ROW][C]21[/C][C]-0.110449[/C][C]-0.8555[/C][C]0.80217[/C][/ROW]
[ROW][C]22[/C][C]-0.121941[/C][C]-0.9446[/C][C]0.825662[/C][/ROW]
[ROW][C]23[/C][C]-0.13044[/C][C]-1.0104[/C][C]0.841816[/C][/ROW]
[ROW][C]24[/C][C]0.1486[/C][C]1.151[/C][C]0.12714[/C][/ROW]
[ROW][C]25[/C][C]0.012931[/C][C]0.1002[/C][C]0.460274[/C][/ROW]
[ROW][C]26[/C][C]-0.053171[/C][C]-0.4119[/C][C]0.659044[/C][/ROW]
[ROW][C]27[/C][C]-0.056263[/C][C]-0.4358[/C][C]0.667731[/C][/ROW]
[ROW][C]28[/C][C]-0.088063[/C][C]-0.6821[/C][C]0.75111[/C][/ROW]
[ROW][C]29[/C][C]-0.026886[/C][C]-0.2083[/C][C]0.582133[/C][/ROW]
[ROW][C]30[/C][C]0.029999[/C][C]0.2324[/C][C]0.408521[/C][/ROW]
[ROW][C]31[/C][C]-0.017885[/C][C]-0.1385[/C][C]0.55486[/C][/ROW]
[ROW][C]32[/C][C]-0.066612[/C][C]-0.516[/C][C]0.696117[/C][/ROW]
[ROW][C]33[/C][C]-0.006729[/C][C]-0.0521[/C][C]0.520697[/C][/ROW]
[ROW][C]34[/C][C]0.024206[/C][C]0.1875[/C][C]0.42595[/C][/ROW]
[ROW][C]35[/C][C]0.069218[/C][C]0.5362[/C][C]0.296915[/C][/ROW]
[ROW][C]36[/C][C]-0.034523[/C][C]-0.2674[/C][C]0.604966[/C][/ROW]
[ROW][C]37[/C][C]0.08715[/C][C]0.6751[/C][C]0.251116[/C][/ROW]
[ROW][C]38[/C][C]-0.036221[/C][C]-0.2806[/C][C]0.609997[/C][/ROW]
[ROW][C]39[/C][C]0.044935[/C][C]0.3481[/C][C]0.364506[/C][/ROW]
[ROW][C]40[/C][C]-0.014689[/C][C]-0.1138[/C][C]0.545103[/C][/ROW]
[ROW][C]41[/C][C]0.035867[/C][C]0.2778[/C][C]0.391051[/C][/ROW]
[ROW][C]42[/C][C]-0.021916[/C][C]-0.1698[/C][C]0.567115[/C][/ROW]
[ROW][C]43[/C][C]-0.001694[/C][C]-0.0131[/C][C]0.505214[/C][/ROW]
[ROW][C]44[/C][C]-0.108931[/C][C]-0.8438[/C][C]0.798928[/C][/ROW]
[ROW][C]45[/C][C]-0.14236[/C][C]-1.1027[/C][C]0.862723[/C][/ROW]
[ROW][C]46[/C][C]-0.084925[/C][C]-0.6578[/C][C]0.743417[/C][/ROW]
[ROW][C]47[/C][C]0.008968[/C][C]0.0695[/C][C]0.472426[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4449&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4449&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
00.8205016.35560
1-0.007207-0.05580.522167
20.0920770.71320.239236
30.0678360.52550.300601
40.157411.21930.113752
5-0.134389-1.0410.848968
6-0.084853-0.65730.743238
70.1452771.12530.132469
8-0.052953-0.41020.658429
9-0.239309-1.85370.965649
10-0.012072-0.09350.537094
11-0.305169-2.36380.989329
120.2849342.20710.015572
13-0.224622-1.73990.956499
14-0.062888-0.48710.686028
150.0320210.2480.402479
16-0.052337-0.40540.656688
17-0.000466-0.00360.501436
180.0791210.61290.27114
190.0039820.03080.487749
20-0.093202-0.72190.763431
21-0.110449-0.85550.80217
22-0.121941-0.94460.825662
23-0.13044-1.01040.841816
240.14861.1510.12714
250.0129310.10020.460274
26-0.053171-0.41190.659044
27-0.056263-0.43580.667731
28-0.088063-0.68210.75111
29-0.026886-0.20830.582133
300.0299990.23240.408521
31-0.017885-0.13850.55486
32-0.066612-0.5160.696117
33-0.006729-0.05210.520697
340.0242060.18750.42595
350.0692180.53620.296915
36-0.034523-0.26740.604966
370.087150.67510.251116
38-0.036221-0.28060.609997
390.0449350.34810.364506
40-0.014689-0.11380.545103
410.0358670.27780.391051
42-0.021916-0.16980.567115
43-0.001694-0.01310.505214
44-0.108931-0.84380.798928
45-0.14236-1.10270.862723
46-0.084925-0.65780.743417
470.0089680.06950.472426



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