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 computationFri, 07 Dec 2007 06:39:11 -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/07/t1197034284c186kmwa41aikvm.htm/, Retrieved Mon, 29 Apr 2024 06:41:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2821, Retrieved Mon, 29 Apr 2024 06:41:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-07 13:39:11] [40a229849a2b804e343854d9b3fa1a24] [Current]
Feedback Forum

Post a new message
Dataseries X:
103.7
103.75
103.85
104.02
104.13
104.17
104.18
104.2
104.5
104.78
104.88
104.89
104.9
104.95
105.24
105.35
105.44
105.46
105.47
105.48
105.75
106.1
106.19
106.23
106.24
106.25
106.35
106.48
106.52
106.55
106.55
106.56
106.89
107.09
107.24
107.28
107.3
107.31
107.47
107.35
107.31
107.32
107.32
107.34
107.53
107.72
107.75
107.79
107.81
107.9
107.8
107.86
107.8
107.74
107.75
107.83
107.8
107.81
107.86
107.83




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=2821&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=2821&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2821&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
016.85570
1-0.24276-1.66430.948645
2-0.017849-0.12240.548435
3-0.004244-0.02910.511545
40.0784610.53790.296592
5-0.24668-1.69120.951285
60.169041.15890.12618
70.1372920.94120.175701
8-0.177242-1.21510.884803
90.0069950.0480.480979
10-0.063728-0.43690.667905
110.2256811.54720.064262
12-0.328404-2.25140.985463
130.2582691.77060.041556
14-0.009485-0.0650.525786
15-0.008369-0.05740.522756
16-0.096114-0.65890.74342
170.2644591.8130.038108
180.0034780.02380.490538
19-0.113655-0.77920.78011
200.123510.84670.200715
21-0.06529-0.44760.671753
22-0.025767-0.17660.569728
23-0.070768-0.48520.685092
240.2088941.43210.079365
25-0.26051-1.7860.959722
26-0.045094-0.30920.620714
27-0.029357-0.20130.579318
280.0432230.29630.384145
29-0.066372-0.4550.674407
300.0447860.3070.380085
310.094280.64640.260597
32-0.085934-0.58910.720703
330.0091590.06280.475099
34-0.000535-0.00370.501456
350.0298140.20440.419464
36-0.172737-1.18420.878861
370.1043590.71550.238935
38-0.008577-0.05880.52332
39-0.035914-0.24620.596706
400.0053570.03670.485428
410.0610530.41860.338722
42-0.086334-0.59190.721616
43-0.100397-0.68830.752672
440.0184920.12680.449829
45-0.021676-0.14860.558749
46-0.002811-0.01930.507646
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.24276 & -1.6643 & 0.948645 \tabularnewline
2 & -0.017849 & -0.1224 & 0.548435 \tabularnewline
3 & -0.004244 & -0.0291 & 0.511545 \tabularnewline
4 & 0.078461 & 0.5379 & 0.296592 \tabularnewline
5 & -0.24668 & -1.6912 & 0.951285 \tabularnewline
6 & 0.16904 & 1.1589 & 0.12618 \tabularnewline
7 & 0.137292 & 0.9412 & 0.175701 \tabularnewline
8 & -0.177242 & -1.2151 & 0.884803 \tabularnewline
9 & 0.006995 & 0.048 & 0.480979 \tabularnewline
10 & -0.063728 & -0.4369 & 0.667905 \tabularnewline
11 & 0.225681 & 1.5472 & 0.064262 \tabularnewline
12 & -0.328404 & -2.2514 & 0.985463 \tabularnewline
13 & 0.258269 & 1.7706 & 0.041556 \tabularnewline
14 & -0.009485 & -0.065 & 0.525786 \tabularnewline
15 & -0.008369 & -0.0574 & 0.522756 \tabularnewline
16 & -0.096114 & -0.6589 & 0.74342 \tabularnewline
17 & 0.264459 & 1.813 & 0.038108 \tabularnewline
18 & 0.003478 & 0.0238 & 0.490538 \tabularnewline
19 & -0.113655 & -0.7792 & 0.78011 \tabularnewline
20 & 0.12351 & 0.8467 & 0.200715 \tabularnewline
21 & -0.06529 & -0.4476 & 0.671753 \tabularnewline
22 & -0.025767 & -0.1766 & 0.569728 \tabularnewline
23 & -0.070768 & -0.4852 & 0.685092 \tabularnewline
24 & 0.208894 & 1.4321 & 0.079365 \tabularnewline
25 & -0.26051 & -1.786 & 0.959722 \tabularnewline
26 & -0.045094 & -0.3092 & 0.620714 \tabularnewline
27 & -0.029357 & -0.2013 & 0.579318 \tabularnewline
28 & 0.043223 & 0.2963 & 0.384145 \tabularnewline
29 & -0.066372 & -0.455 & 0.674407 \tabularnewline
30 & 0.044786 & 0.307 & 0.380085 \tabularnewline
31 & 0.09428 & 0.6464 & 0.260597 \tabularnewline
32 & -0.085934 & -0.5891 & 0.720703 \tabularnewline
33 & 0.009159 & 0.0628 & 0.475099 \tabularnewline
34 & -0.000535 & -0.0037 & 0.501456 \tabularnewline
35 & 0.029814 & 0.2044 & 0.419464 \tabularnewline
36 & -0.172737 & -1.1842 & 0.878861 \tabularnewline
37 & 0.104359 & 0.7155 & 0.238935 \tabularnewline
38 & -0.008577 & -0.0588 & 0.52332 \tabularnewline
39 & -0.035914 & -0.2462 & 0.596706 \tabularnewline
40 & 0.005357 & 0.0367 & 0.485428 \tabularnewline
41 & 0.061053 & 0.4186 & 0.338722 \tabularnewline
42 & -0.086334 & -0.5919 & 0.721616 \tabularnewline
43 & -0.100397 & -0.6883 & 0.752672 \tabularnewline
44 & 0.018492 & 0.1268 & 0.449829 \tabularnewline
45 & -0.021676 & -0.1486 & 0.558749 \tabularnewline
46 & -0.002811 & -0.0193 & 0.507646 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2821&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]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.24276[/C][C]-1.6643[/C][C]0.948645[/C][/ROW]
[ROW][C]2[/C][C]-0.017849[/C][C]-0.1224[/C][C]0.548435[/C][/ROW]
[ROW][C]3[/C][C]-0.004244[/C][C]-0.0291[/C][C]0.511545[/C][/ROW]
[ROW][C]4[/C][C]0.078461[/C][C]0.5379[/C][C]0.296592[/C][/ROW]
[ROW][C]5[/C][C]-0.24668[/C][C]-1.6912[/C][C]0.951285[/C][/ROW]
[ROW][C]6[/C][C]0.16904[/C][C]1.1589[/C][C]0.12618[/C][/ROW]
[ROW][C]7[/C][C]0.137292[/C][C]0.9412[/C][C]0.175701[/C][/ROW]
[ROW][C]8[/C][C]-0.177242[/C][C]-1.2151[/C][C]0.884803[/C][/ROW]
[ROW][C]9[/C][C]0.006995[/C][C]0.048[/C][C]0.480979[/C][/ROW]
[ROW][C]10[/C][C]-0.063728[/C][C]-0.4369[/C][C]0.667905[/C][/ROW]
[ROW][C]11[/C][C]0.225681[/C][C]1.5472[/C][C]0.064262[/C][/ROW]
[ROW][C]12[/C][C]-0.328404[/C][C]-2.2514[/C][C]0.985463[/C][/ROW]
[ROW][C]13[/C][C]0.258269[/C][C]1.7706[/C][C]0.041556[/C][/ROW]
[ROW][C]14[/C][C]-0.009485[/C][C]-0.065[/C][C]0.525786[/C][/ROW]
[ROW][C]15[/C][C]-0.008369[/C][C]-0.0574[/C][C]0.522756[/C][/ROW]
[ROW][C]16[/C][C]-0.096114[/C][C]-0.6589[/C][C]0.74342[/C][/ROW]
[ROW][C]17[/C][C]0.264459[/C][C]1.813[/C][C]0.038108[/C][/ROW]
[ROW][C]18[/C][C]0.003478[/C][C]0.0238[/C][C]0.490538[/C][/ROW]
[ROW][C]19[/C][C]-0.113655[/C][C]-0.7792[/C][C]0.78011[/C][/ROW]
[ROW][C]20[/C][C]0.12351[/C][C]0.8467[/C][C]0.200715[/C][/ROW]
[ROW][C]21[/C][C]-0.06529[/C][C]-0.4476[/C][C]0.671753[/C][/ROW]
[ROW][C]22[/C][C]-0.025767[/C][C]-0.1766[/C][C]0.569728[/C][/ROW]
[ROW][C]23[/C][C]-0.070768[/C][C]-0.4852[/C][C]0.685092[/C][/ROW]
[ROW][C]24[/C][C]0.208894[/C][C]1.4321[/C][C]0.079365[/C][/ROW]
[ROW][C]25[/C][C]-0.26051[/C][C]-1.786[/C][C]0.959722[/C][/ROW]
[ROW][C]26[/C][C]-0.045094[/C][C]-0.3092[/C][C]0.620714[/C][/ROW]
[ROW][C]27[/C][C]-0.029357[/C][C]-0.2013[/C][C]0.579318[/C][/ROW]
[ROW][C]28[/C][C]0.043223[/C][C]0.2963[/C][C]0.384145[/C][/ROW]
[ROW][C]29[/C][C]-0.066372[/C][C]-0.455[/C][C]0.674407[/C][/ROW]
[ROW][C]30[/C][C]0.044786[/C][C]0.307[/C][C]0.380085[/C][/ROW]
[ROW][C]31[/C][C]0.09428[/C][C]0.6464[/C][C]0.260597[/C][/ROW]
[ROW][C]32[/C][C]-0.085934[/C][C]-0.5891[/C][C]0.720703[/C][/ROW]
[ROW][C]33[/C][C]0.009159[/C][C]0.0628[/C][C]0.475099[/C][/ROW]
[ROW][C]34[/C][C]-0.000535[/C][C]-0.0037[/C][C]0.501456[/C][/ROW]
[ROW][C]35[/C][C]0.029814[/C][C]0.2044[/C][C]0.419464[/C][/ROW]
[ROW][C]36[/C][C]-0.172737[/C][C]-1.1842[/C][C]0.878861[/C][/ROW]
[ROW][C]37[/C][C]0.104359[/C][C]0.7155[/C][C]0.238935[/C][/ROW]
[ROW][C]38[/C][C]-0.008577[/C][C]-0.0588[/C][C]0.52332[/C][/ROW]
[ROW][C]39[/C][C]-0.035914[/C][C]-0.2462[/C][C]0.596706[/C][/ROW]
[ROW][C]40[/C][C]0.005357[/C][C]0.0367[/C][C]0.485428[/C][/ROW]
[ROW][C]41[/C][C]0.061053[/C][C]0.4186[/C][C]0.338722[/C][/ROW]
[ROW][C]42[/C][C]-0.086334[/C][C]-0.5919[/C][C]0.721616[/C][/ROW]
[ROW][C]43[/C][C]-0.100397[/C][C]-0.6883[/C][C]0.752672[/C][/ROW]
[ROW][C]44[/C][C]0.018492[/C][C]0.1268[/C][C]0.449829[/C][/ROW]
[ROW][C]45[/C][C]-0.021676[/C][C]-0.1486[/C][C]0.558749[/C][/ROW]
[ROW][C]46[/C][C]-0.002811[/C][C]-0.0193[/C][C]0.507646[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2821&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2821&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
016.85570
1-0.24276-1.66430.948645
2-0.017849-0.12240.548435
3-0.004244-0.02910.511545
40.0784610.53790.296592
5-0.24668-1.69120.951285
60.169041.15890.12618
70.1372920.94120.175701
8-0.177242-1.21510.884803
90.0069950.0480.480979
10-0.063728-0.43690.667905
110.2256811.54720.064262
12-0.328404-2.25140.985463
130.2582691.77060.041556
14-0.009485-0.0650.525786
15-0.008369-0.05740.522756
16-0.096114-0.65890.74342
170.2644591.8130.038108
180.0034780.02380.490538
19-0.113655-0.77920.78011
200.123510.84670.200715
21-0.06529-0.44760.671753
22-0.025767-0.17660.569728
23-0.070768-0.48520.685092
240.2088941.43210.079365
25-0.26051-1.7860.959722
26-0.045094-0.30920.620714
27-0.029357-0.20130.579318
280.0432230.29630.384145
29-0.066372-0.4550.674407
300.0447860.3070.380085
310.094280.64640.260597
32-0.085934-0.58910.720703
330.0091590.06280.475099
34-0.000535-0.00370.501456
350.0298140.20440.419464
36-0.172737-1.18420.878861
370.1043590.71550.238935
38-0.008577-0.05880.52332
39-0.035914-0.24620.596706
400.0053570.03670.485428
410.0610530.41860.338722
42-0.086334-0.59190.721616
43-0.100397-0.68830.752672
440.0184920.12680.449829
45-0.021676-0.14860.558749
46-0.002811-0.01930.507646
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.24276-1.66430.948645
1-0.08159-0.55940.710711
2-0.030742-0.21080.583006
30.0731030.50120.309295
4-0.224847-1.54150.935046
50.0686190.47040.320112
60.1938821.32920.095101
7-0.115339-0.79070.783461
8-0.02519-0.17270.568184
9-0.153713-1.05380.85132
100.2646261.81420.038018
11-0.230654-1.58130.93974
120.0948310.65010.259386
130.0731250.50130.309244
14-0.000483-0.00330.501315
150.0466590.31990.375238
160.0882180.60480.274113
170.2045831.40250.083661
18-0.024235-0.16610.565623
19-0.000315-0.00220.500856
200.0059410.04070.483841
21-0.035312-0.24210.595116
220.0518620.35550.361885
23-0.054411-0.3730.644596
24-0.124509-0.85360.801169
25-0.148199-1.0160.842585
26-0.100061-0.6860.751953
27-0.051714-0.35450.637737
28-0.010352-0.0710.528139
29-0.060211-0.41280.659179
30-0.002131-0.01460.505798
310.0463760.31790.375969
32-0.012652-0.08670.534377
33-0.033961-0.23280.591545
34-0.1092-0.74860.771097
35-0.080192-0.54980.707459
36-0.054487-0.37350.644788
37-0.003921-0.02690.510665
380.0293610.20130.420672
390.0458750.31450.377266
400.072050.4940.311821
41-0.00435-0.02980.511831
420.0110610.07580.469937
43-0.044356-0.30410.618798
44-0.006355-0.04360.517283
45-0.025102-0.17210.567946
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.24276 & -1.6643 & 0.948645 \tabularnewline
1 & -0.08159 & -0.5594 & 0.710711 \tabularnewline
2 & -0.030742 & -0.2108 & 0.583006 \tabularnewline
3 & 0.073103 & 0.5012 & 0.309295 \tabularnewline
4 & -0.224847 & -1.5415 & 0.935046 \tabularnewline
5 & 0.068619 & 0.4704 & 0.320112 \tabularnewline
6 & 0.193882 & 1.3292 & 0.095101 \tabularnewline
7 & -0.115339 & -0.7907 & 0.783461 \tabularnewline
8 & -0.02519 & -0.1727 & 0.568184 \tabularnewline
9 & -0.153713 & -1.0538 & 0.85132 \tabularnewline
10 & 0.264626 & 1.8142 & 0.038018 \tabularnewline
11 & -0.230654 & -1.5813 & 0.93974 \tabularnewline
12 & 0.094831 & 0.6501 & 0.259386 \tabularnewline
13 & 0.073125 & 0.5013 & 0.309244 \tabularnewline
14 & -0.000483 & -0.0033 & 0.501315 \tabularnewline
15 & 0.046659 & 0.3199 & 0.375238 \tabularnewline
16 & 0.088218 & 0.6048 & 0.274113 \tabularnewline
17 & 0.204583 & 1.4025 & 0.083661 \tabularnewline
18 & -0.024235 & -0.1661 & 0.565623 \tabularnewline
19 & -0.000315 & -0.0022 & 0.500856 \tabularnewline
20 & 0.005941 & 0.0407 & 0.483841 \tabularnewline
21 & -0.035312 & -0.2421 & 0.595116 \tabularnewline
22 & 0.051862 & 0.3555 & 0.361885 \tabularnewline
23 & -0.054411 & -0.373 & 0.644596 \tabularnewline
24 & -0.124509 & -0.8536 & 0.801169 \tabularnewline
25 & -0.148199 & -1.016 & 0.842585 \tabularnewline
26 & -0.100061 & -0.686 & 0.751953 \tabularnewline
27 & -0.051714 & -0.3545 & 0.637737 \tabularnewline
28 & -0.010352 & -0.071 & 0.528139 \tabularnewline
29 & -0.060211 & -0.4128 & 0.659179 \tabularnewline
30 & -0.002131 & -0.0146 & 0.505798 \tabularnewline
31 & 0.046376 & 0.3179 & 0.375969 \tabularnewline
32 & -0.012652 & -0.0867 & 0.534377 \tabularnewline
33 & -0.033961 & -0.2328 & 0.591545 \tabularnewline
34 & -0.1092 & -0.7486 & 0.771097 \tabularnewline
35 & -0.080192 & -0.5498 & 0.707459 \tabularnewline
36 & -0.054487 & -0.3735 & 0.644788 \tabularnewline
37 & -0.003921 & -0.0269 & 0.510665 \tabularnewline
38 & 0.029361 & 0.2013 & 0.420672 \tabularnewline
39 & 0.045875 & 0.3145 & 0.377266 \tabularnewline
40 & 0.07205 & 0.494 & 0.311821 \tabularnewline
41 & -0.00435 & -0.0298 & 0.511831 \tabularnewline
42 & 0.011061 & 0.0758 & 0.469937 \tabularnewline
43 & -0.044356 & -0.3041 & 0.618798 \tabularnewline
44 & -0.006355 & -0.0436 & 0.517283 \tabularnewline
45 & -0.025102 & -0.1721 & 0.567946 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2821&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]-0.24276[/C][C]-1.6643[/C][C]0.948645[/C][/ROW]
[ROW][C]1[/C][C]-0.08159[/C][C]-0.5594[/C][C]0.710711[/C][/ROW]
[ROW][C]2[/C][C]-0.030742[/C][C]-0.2108[/C][C]0.583006[/C][/ROW]
[ROW][C]3[/C][C]0.073103[/C][C]0.5012[/C][C]0.309295[/C][/ROW]
[ROW][C]4[/C][C]-0.224847[/C][C]-1.5415[/C][C]0.935046[/C][/ROW]
[ROW][C]5[/C][C]0.068619[/C][C]0.4704[/C][C]0.320112[/C][/ROW]
[ROW][C]6[/C][C]0.193882[/C][C]1.3292[/C][C]0.095101[/C][/ROW]
[ROW][C]7[/C][C]-0.115339[/C][C]-0.7907[/C][C]0.783461[/C][/ROW]
[ROW][C]8[/C][C]-0.02519[/C][C]-0.1727[/C][C]0.568184[/C][/ROW]
[ROW][C]9[/C][C]-0.153713[/C][C]-1.0538[/C][C]0.85132[/C][/ROW]
[ROW][C]10[/C][C]0.264626[/C][C]1.8142[/C][C]0.038018[/C][/ROW]
[ROW][C]11[/C][C]-0.230654[/C][C]-1.5813[/C][C]0.93974[/C][/ROW]
[ROW][C]12[/C][C]0.094831[/C][C]0.6501[/C][C]0.259386[/C][/ROW]
[ROW][C]13[/C][C]0.073125[/C][C]0.5013[/C][C]0.309244[/C][/ROW]
[ROW][C]14[/C][C]-0.000483[/C][C]-0.0033[/C][C]0.501315[/C][/ROW]
[ROW][C]15[/C][C]0.046659[/C][C]0.3199[/C][C]0.375238[/C][/ROW]
[ROW][C]16[/C][C]0.088218[/C][C]0.6048[/C][C]0.274113[/C][/ROW]
[ROW][C]17[/C][C]0.204583[/C][C]1.4025[/C][C]0.083661[/C][/ROW]
[ROW][C]18[/C][C]-0.024235[/C][C]-0.1661[/C][C]0.565623[/C][/ROW]
[ROW][C]19[/C][C]-0.000315[/C][C]-0.0022[/C][C]0.500856[/C][/ROW]
[ROW][C]20[/C][C]0.005941[/C][C]0.0407[/C][C]0.483841[/C][/ROW]
[ROW][C]21[/C][C]-0.035312[/C][C]-0.2421[/C][C]0.595116[/C][/ROW]
[ROW][C]22[/C][C]0.051862[/C][C]0.3555[/C][C]0.361885[/C][/ROW]
[ROW][C]23[/C][C]-0.054411[/C][C]-0.373[/C][C]0.644596[/C][/ROW]
[ROW][C]24[/C][C]-0.124509[/C][C]-0.8536[/C][C]0.801169[/C][/ROW]
[ROW][C]25[/C][C]-0.148199[/C][C]-1.016[/C][C]0.842585[/C][/ROW]
[ROW][C]26[/C][C]-0.100061[/C][C]-0.686[/C][C]0.751953[/C][/ROW]
[ROW][C]27[/C][C]-0.051714[/C][C]-0.3545[/C][C]0.637737[/C][/ROW]
[ROW][C]28[/C][C]-0.010352[/C][C]-0.071[/C][C]0.528139[/C][/ROW]
[ROW][C]29[/C][C]-0.060211[/C][C]-0.4128[/C][C]0.659179[/C][/ROW]
[ROW][C]30[/C][C]-0.002131[/C][C]-0.0146[/C][C]0.505798[/C][/ROW]
[ROW][C]31[/C][C]0.046376[/C][C]0.3179[/C][C]0.375969[/C][/ROW]
[ROW][C]32[/C][C]-0.012652[/C][C]-0.0867[/C][C]0.534377[/C][/ROW]
[ROW][C]33[/C][C]-0.033961[/C][C]-0.2328[/C][C]0.591545[/C][/ROW]
[ROW][C]34[/C][C]-0.1092[/C][C]-0.7486[/C][C]0.771097[/C][/ROW]
[ROW][C]35[/C][C]-0.080192[/C][C]-0.5498[/C][C]0.707459[/C][/ROW]
[ROW][C]36[/C][C]-0.054487[/C][C]-0.3735[/C][C]0.644788[/C][/ROW]
[ROW][C]37[/C][C]-0.003921[/C][C]-0.0269[/C][C]0.510665[/C][/ROW]
[ROW][C]38[/C][C]0.029361[/C][C]0.2013[/C][C]0.420672[/C][/ROW]
[ROW][C]39[/C][C]0.045875[/C][C]0.3145[/C][C]0.377266[/C][/ROW]
[ROW][C]40[/C][C]0.07205[/C][C]0.494[/C][C]0.311821[/C][/ROW]
[ROW][C]41[/C][C]-0.00435[/C][C]-0.0298[/C][C]0.511831[/C][/ROW]
[ROW][C]42[/C][C]0.011061[/C][C]0.0758[/C][C]0.469937[/C][/ROW]
[ROW][C]43[/C][C]-0.044356[/C][C]-0.3041[/C][C]0.618798[/C][/ROW]
[ROW][C]44[/C][C]-0.006355[/C][C]-0.0436[/C][C]0.517283[/C][/ROW]
[ROW][C]45[/C][C]-0.025102[/C][C]-0.1721[/C][C]0.567946[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2821&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2821&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
0-0.24276-1.66430.948645
1-0.08159-0.55940.710711
2-0.030742-0.21080.583006
30.0731030.50120.309295
4-0.224847-1.54150.935046
50.0686190.47040.320112
60.1938821.32920.095101
7-0.115339-0.79070.783461
8-0.02519-0.17270.568184
9-0.153713-1.05380.85132
100.2646261.81420.038018
11-0.230654-1.58130.93974
120.0948310.65010.259386
130.0731250.50130.309244
14-0.000483-0.00330.501315
150.0466590.31990.375238
160.0882180.60480.274113
170.2045831.40250.083661
18-0.024235-0.16610.565623
19-0.000315-0.00220.500856
200.0059410.04070.483841
21-0.035312-0.24210.595116
220.0518620.35550.361885
23-0.054411-0.3730.644596
24-0.124509-0.85360.801169
25-0.148199-1.0160.842585
26-0.100061-0.6860.751953
27-0.051714-0.35450.637737
28-0.010352-0.0710.528139
29-0.060211-0.41280.659179
30-0.002131-0.01460.505798
310.0463760.31790.375969
32-0.012652-0.08670.534377
33-0.033961-0.23280.591545
34-0.1092-0.74860.771097
35-0.080192-0.54980.707459
36-0.054487-0.37350.644788
37-0.003921-0.02690.510665
380.0293610.20130.420672
390.0458750.31450.377266
400.072050.4940.311821
41-0.00435-0.02980.511831
420.0110610.07580.469937
43-0.044356-0.30410.618798
44-0.006355-0.04360.517283
45-0.025102-0.17210.567946
46NANANA
47NANANA



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 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')