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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, 05 Dec 2007 07:37:56 -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/05/t1196864894lgr7207krrxsp40.htm/, Retrieved Thu, 02 May 2024 20:54:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2479, Retrieved Thu, 02 May 2024 20:54:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsLeroy Y, Van Hove N, Goetschalckx J, Jacobs J, Vandewalle N
Estimated Impact243
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [workshop 5 Q1] [2007-12-05 14:37:56] [d47d9b730cfe603c6e1e6182f77c44ba] [Current]
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Dataseries X:
-3.5
-15.7
25.8
-6.3
-8.4
33.5
-5.7
-17.2
-3.8
3
10.5
2.5
-3.9
-12.9
5.4
1.3
-8
26.9
0.5
-24.1
-6.9
11.2
5.9
4.5
-3.5
-6.7
3.7
0.4
-6.3
20.5
10.2
-30.1
-2.1
8.8
-5.4
13.6
-4.8
-22.9
9.9
8.3
-20.2
28.7
-1.9
-21.4
0.2
9
-4.6
12
-4.3
-15.9
11.1
6.8
-30.4
46.4
-5.9
-27
11.7
-9.2
1.2
3.6




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2479&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]2 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=2479&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2479&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
1-0.547706-3.79460.999793
20.0284820.19730.422203
30.2537371.75790.042566
4-0.278842-1.93190.970355
50.2154321.49260.071048
6-0.026367-0.18270.57209
7-0.098897-0.68520.751736
80.0345550.23940.405907
9-0.019471-0.13490.553373
100.0132310.09170.463671
11-0.066948-0.46380.677568
120.0158030.10950.456638
13-0.100863-0.69880.755975
14-0.007227-0.05010.519864
150.2513561.74140.044006
16-0.416507-2.88560.997082
170.2226271.54240.064772
180.064240.44510.329135
19-0.209329-1.45030.923257
200.2222521.53980.065087
21-0.034155-0.23660.593026
22-0.181229-1.25560.892329
230.3398582.35460.01134
24-0.149153-1.03340.846694
25-0.055387-0.38370.648563
260.19561.35520.090856
27-0.246337-1.70670.952827
280.2447691.69580.0482
29-0.130911-0.9070.815525
300.0108460.07510.470206
31-0.015555-0.10780.542686
320.0044940.03110.487645
330.0307090.21280.416209
34-0.100904-0.69910.756062
350.0868370.60160.275127
36-0.115881-0.80280.78699
370.0023040.0160.493665
380.1528251.05880.147495
39-0.206755-1.43240.920751
400.0962160.66660.254109
410.0263060.18230.428075
42-0.112107-0.77670.779427
430.1402430.97160.168052
44-0.079915-0.55370.708813
450.0563010.39010.349108
46-0.008184-0.05670.52249
47-0.000391-0.00270.501074

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & -0.547706 & -3.7946 & 0.999793 \tabularnewline
2 & 0.028482 & 0.1973 & 0.422203 \tabularnewline
3 & 0.253737 & 1.7579 & 0.042566 \tabularnewline
4 & -0.278842 & -1.9319 & 0.970355 \tabularnewline
5 & 0.215432 & 1.4926 & 0.071048 \tabularnewline
6 & -0.026367 & -0.1827 & 0.57209 \tabularnewline
7 & -0.098897 & -0.6852 & 0.751736 \tabularnewline
8 & 0.034555 & 0.2394 & 0.405907 \tabularnewline
9 & -0.019471 & -0.1349 & 0.553373 \tabularnewline
10 & 0.013231 & 0.0917 & 0.463671 \tabularnewline
11 & -0.066948 & -0.4638 & 0.677568 \tabularnewline
12 & 0.015803 & 0.1095 & 0.456638 \tabularnewline
13 & -0.100863 & -0.6988 & 0.755975 \tabularnewline
14 & -0.007227 & -0.0501 & 0.519864 \tabularnewline
15 & 0.251356 & 1.7414 & 0.044006 \tabularnewline
16 & -0.416507 & -2.8856 & 0.997082 \tabularnewline
17 & 0.222627 & 1.5424 & 0.064772 \tabularnewline
18 & 0.06424 & 0.4451 & 0.329135 \tabularnewline
19 & -0.209329 & -1.4503 & 0.923257 \tabularnewline
20 & 0.222252 & 1.5398 & 0.065087 \tabularnewline
21 & -0.034155 & -0.2366 & 0.593026 \tabularnewline
22 & -0.181229 & -1.2556 & 0.892329 \tabularnewline
23 & 0.339858 & 2.3546 & 0.01134 \tabularnewline
24 & -0.149153 & -1.0334 & 0.846694 \tabularnewline
25 & -0.055387 & -0.3837 & 0.648563 \tabularnewline
26 & 0.1956 & 1.3552 & 0.090856 \tabularnewline
27 & -0.246337 & -1.7067 & 0.952827 \tabularnewline
28 & 0.244769 & 1.6958 & 0.0482 \tabularnewline
29 & -0.130911 & -0.907 & 0.815525 \tabularnewline
30 & 0.010846 & 0.0751 & 0.470206 \tabularnewline
31 & -0.015555 & -0.1078 & 0.542686 \tabularnewline
32 & 0.004494 & 0.0311 & 0.487645 \tabularnewline
33 & 0.030709 & 0.2128 & 0.416209 \tabularnewline
34 & -0.100904 & -0.6991 & 0.756062 \tabularnewline
35 & 0.086837 & 0.6016 & 0.275127 \tabularnewline
36 & -0.115881 & -0.8028 & 0.78699 \tabularnewline
37 & 0.002304 & 0.016 & 0.493665 \tabularnewline
38 & 0.152825 & 1.0588 & 0.147495 \tabularnewline
39 & -0.206755 & -1.4324 & 0.920751 \tabularnewline
40 & 0.096216 & 0.6666 & 0.254109 \tabularnewline
41 & 0.026306 & 0.1823 & 0.428075 \tabularnewline
42 & -0.112107 & -0.7767 & 0.779427 \tabularnewline
43 & 0.140243 & 0.9716 & 0.168052 \tabularnewline
44 & -0.079915 & -0.5537 & 0.708813 \tabularnewline
45 & 0.056301 & 0.3901 & 0.349108 \tabularnewline
46 & -0.008184 & -0.0567 & 0.52249 \tabularnewline
47 & -0.000391 & -0.0027 & 0.501074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2479&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.547706[/C][C]-3.7946[/C][C]0.999793[/C][/ROW]
[ROW][C]2[/C][C]0.028482[/C][C]0.1973[/C][C]0.422203[/C][/ROW]
[ROW][C]3[/C][C]0.253737[/C][C]1.7579[/C][C]0.042566[/C][/ROW]
[ROW][C]4[/C][C]-0.278842[/C][C]-1.9319[/C][C]0.970355[/C][/ROW]
[ROW][C]5[/C][C]0.215432[/C][C]1.4926[/C][C]0.071048[/C][/ROW]
[ROW][C]6[/C][C]-0.026367[/C][C]-0.1827[/C][C]0.57209[/C][/ROW]
[ROW][C]7[/C][C]-0.098897[/C][C]-0.6852[/C][C]0.751736[/C][/ROW]
[ROW][C]8[/C][C]0.034555[/C][C]0.2394[/C][C]0.405907[/C][/ROW]
[ROW][C]9[/C][C]-0.019471[/C][C]-0.1349[/C][C]0.553373[/C][/ROW]
[ROW][C]10[/C][C]0.013231[/C][C]0.0917[/C][C]0.463671[/C][/ROW]
[ROW][C]11[/C][C]-0.066948[/C][C]-0.4638[/C][C]0.677568[/C][/ROW]
[ROW][C]12[/C][C]0.015803[/C][C]0.1095[/C][C]0.456638[/C][/ROW]
[ROW][C]13[/C][C]-0.100863[/C][C]-0.6988[/C][C]0.755975[/C][/ROW]
[ROW][C]14[/C][C]-0.007227[/C][C]-0.0501[/C][C]0.519864[/C][/ROW]
[ROW][C]15[/C][C]0.251356[/C][C]1.7414[/C][C]0.044006[/C][/ROW]
[ROW][C]16[/C][C]-0.416507[/C][C]-2.8856[/C][C]0.997082[/C][/ROW]
[ROW][C]17[/C][C]0.222627[/C][C]1.5424[/C][C]0.064772[/C][/ROW]
[ROW][C]18[/C][C]0.06424[/C][C]0.4451[/C][C]0.329135[/C][/ROW]
[ROW][C]19[/C][C]-0.209329[/C][C]-1.4503[/C][C]0.923257[/C][/ROW]
[ROW][C]20[/C][C]0.222252[/C][C]1.5398[/C][C]0.065087[/C][/ROW]
[ROW][C]21[/C][C]-0.034155[/C][C]-0.2366[/C][C]0.593026[/C][/ROW]
[ROW][C]22[/C][C]-0.181229[/C][C]-1.2556[/C][C]0.892329[/C][/ROW]
[ROW][C]23[/C][C]0.339858[/C][C]2.3546[/C][C]0.01134[/C][/ROW]
[ROW][C]24[/C][C]-0.149153[/C][C]-1.0334[/C][C]0.846694[/C][/ROW]
[ROW][C]25[/C][C]-0.055387[/C][C]-0.3837[/C][C]0.648563[/C][/ROW]
[ROW][C]26[/C][C]0.1956[/C][C]1.3552[/C][C]0.090856[/C][/ROW]
[ROW][C]27[/C][C]-0.246337[/C][C]-1.7067[/C][C]0.952827[/C][/ROW]
[ROW][C]28[/C][C]0.244769[/C][C]1.6958[/C][C]0.0482[/C][/ROW]
[ROW][C]29[/C][C]-0.130911[/C][C]-0.907[/C][C]0.815525[/C][/ROW]
[ROW][C]30[/C][C]0.010846[/C][C]0.0751[/C][C]0.470206[/C][/ROW]
[ROW][C]31[/C][C]-0.015555[/C][C]-0.1078[/C][C]0.542686[/C][/ROW]
[ROW][C]32[/C][C]0.004494[/C][C]0.0311[/C][C]0.487645[/C][/ROW]
[ROW][C]33[/C][C]0.030709[/C][C]0.2128[/C][C]0.416209[/C][/ROW]
[ROW][C]34[/C][C]-0.100904[/C][C]-0.6991[/C][C]0.756062[/C][/ROW]
[ROW][C]35[/C][C]0.086837[/C][C]0.6016[/C][C]0.275127[/C][/ROW]
[ROW][C]36[/C][C]-0.115881[/C][C]-0.8028[/C][C]0.78699[/C][/ROW]
[ROW][C]37[/C][C]0.002304[/C][C]0.016[/C][C]0.493665[/C][/ROW]
[ROW][C]38[/C][C]0.152825[/C][C]1.0588[/C][C]0.147495[/C][/ROW]
[ROW][C]39[/C][C]-0.206755[/C][C]-1.4324[/C][C]0.920751[/C][/ROW]
[ROW][C]40[/C][C]0.096216[/C][C]0.6666[/C][C]0.254109[/C][/ROW]
[ROW][C]41[/C][C]0.026306[/C][C]0.1823[/C][C]0.428075[/C][/ROW]
[ROW][C]42[/C][C]-0.112107[/C][C]-0.7767[/C][C]0.779427[/C][/ROW]
[ROW][C]43[/C][C]0.140243[/C][C]0.9716[/C][C]0.168052[/C][/ROW]
[ROW][C]44[/C][C]-0.079915[/C][C]-0.5537[/C][C]0.708813[/C][/ROW]
[ROW][C]45[/C][C]0.056301[/C][C]0.3901[/C][C]0.349108[/C][/ROW]
[ROW][C]46[/C][C]-0.008184[/C][C]-0.0567[/C][C]0.52249[/C][/ROW]
[ROW][C]47[/C][C]-0.000391[/C][C]-0.0027[/C][C]0.501074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2479&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2479&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
016.92820
1-0.547706-3.79460.999793
20.0284820.19730.422203
30.2537371.75790.042566
4-0.278842-1.93190.970355
50.2154321.49260.071048
6-0.026367-0.18270.57209
7-0.098897-0.68520.751736
80.0345550.23940.405907
9-0.019471-0.13490.553373
100.0132310.09170.463671
11-0.066948-0.46380.677568
120.0158030.10950.456638
13-0.100863-0.69880.755975
14-0.007227-0.05010.519864
150.2513561.74140.044006
16-0.416507-2.88560.997082
170.2226271.54240.064772
180.064240.44510.329135
19-0.209329-1.45030.923257
200.2222521.53980.065087
21-0.034155-0.23660.593026
22-0.181229-1.25560.892329
230.3398582.35460.01134
24-0.149153-1.03340.846694
25-0.055387-0.38370.648563
260.19561.35520.090856
27-0.246337-1.70670.952827
280.2447691.69580.0482
29-0.130911-0.9070.815525
300.0108460.07510.470206
31-0.015555-0.10780.542686
320.0044940.03110.487645
330.0307090.21280.416209
34-0.100904-0.69910.756062
350.0868370.60160.275127
36-0.115881-0.80280.78699
370.0023040.0160.493665
380.1528251.05880.147495
39-0.206755-1.43240.920751
400.0962160.66660.254109
410.0263060.18230.428075
42-0.112107-0.77670.779427
430.1402430.97160.168052
44-0.079915-0.55370.708813
450.0563010.39010.349108
46-0.008184-0.05670.52249
47-0.000391-0.00270.501074







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.547706-3.79460.999793
1-0.387847-2.68710.995063
20.1058670.73350.233421
3-0.050418-0.34930.635808
40.1171930.81190.210418
50.1206440.83580.203692
60.0391790.27140.393608
7-0.148002-1.02540.844839
8-0.144257-0.99940.838704
9-0.06505-0.45070.672875
10-0.122299-0.84730.799486
11-0.105004-0.72750.764769
12-0.225866-1.56480.937905
13-0.270508-1.87410.966497
140.2141571.48370.07221
15-0.149654-1.03680.847496
16-0.148093-1.0260.844986
170.0025170.01740.49308
180.0152150.10540.458243
19-0.086428-0.59880.723936
200.0975940.67610.251096
21-0.144489-1.0010.839088
220.1506331.04360.150946
230.1311490.90860.184043
24-0.05844-0.40490.656319
250.0250150.17330.431568
26-0.13742-0.95210.827086
270.0992970.68790.247398
28-0.151365-1.04870.850213
29-0.040942-0.28370.611054
300.0296080.20510.419168
310.0084960.05890.476653
320.0019540.01350.494627
330.032970.22840.410143
340.0266630.18470.427112
35-0.060315-0.41790.661048
36-0.017965-0.12450.549266
37-0.109708-0.76010.774538
380.0637260.44150.330415
390.048970.33930.367941
40-0.090612-0.62780.733437
41-0.011919-0.08260.532733
42-0.150689-1.0440.849144
430.0132260.09160.463687
440.0548910.38030.352702
45-0.029362-0.20340.580169
46-0.05949-0.41220.658971
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.547706 & -3.7946 & 0.999793 \tabularnewline
1 & -0.387847 & -2.6871 & 0.995063 \tabularnewline
2 & 0.105867 & 0.7335 & 0.233421 \tabularnewline
3 & -0.050418 & -0.3493 & 0.635808 \tabularnewline
4 & 0.117193 & 0.8119 & 0.210418 \tabularnewline
5 & 0.120644 & 0.8358 & 0.203692 \tabularnewline
6 & 0.039179 & 0.2714 & 0.393608 \tabularnewline
7 & -0.148002 & -1.0254 & 0.844839 \tabularnewline
8 & -0.144257 & -0.9994 & 0.838704 \tabularnewline
9 & -0.06505 & -0.4507 & 0.672875 \tabularnewline
10 & -0.122299 & -0.8473 & 0.799486 \tabularnewline
11 & -0.105004 & -0.7275 & 0.764769 \tabularnewline
12 & -0.225866 & -1.5648 & 0.937905 \tabularnewline
13 & -0.270508 & -1.8741 & 0.966497 \tabularnewline
14 & 0.214157 & 1.4837 & 0.07221 \tabularnewline
15 & -0.149654 & -1.0368 & 0.847496 \tabularnewline
16 & -0.148093 & -1.026 & 0.844986 \tabularnewline
17 & 0.002517 & 0.0174 & 0.49308 \tabularnewline
18 & 0.015215 & 0.1054 & 0.458243 \tabularnewline
19 & -0.086428 & -0.5988 & 0.723936 \tabularnewline
20 & 0.097594 & 0.6761 & 0.251096 \tabularnewline
21 & -0.144489 & -1.001 & 0.839088 \tabularnewline
22 & 0.150633 & 1.0436 & 0.150946 \tabularnewline
23 & 0.131149 & 0.9086 & 0.184043 \tabularnewline
24 & -0.05844 & -0.4049 & 0.656319 \tabularnewline
25 & 0.025015 & 0.1733 & 0.431568 \tabularnewline
26 & -0.13742 & -0.9521 & 0.827086 \tabularnewline
27 & 0.099297 & 0.6879 & 0.247398 \tabularnewline
28 & -0.151365 & -1.0487 & 0.850213 \tabularnewline
29 & -0.040942 & -0.2837 & 0.611054 \tabularnewline
30 & 0.029608 & 0.2051 & 0.419168 \tabularnewline
31 & 0.008496 & 0.0589 & 0.476653 \tabularnewline
32 & 0.001954 & 0.0135 & 0.494627 \tabularnewline
33 & 0.03297 & 0.2284 & 0.410143 \tabularnewline
34 & 0.026663 & 0.1847 & 0.427112 \tabularnewline
35 & -0.060315 & -0.4179 & 0.661048 \tabularnewline
36 & -0.017965 & -0.1245 & 0.549266 \tabularnewline
37 & -0.109708 & -0.7601 & 0.774538 \tabularnewline
38 & 0.063726 & 0.4415 & 0.330415 \tabularnewline
39 & 0.04897 & 0.3393 & 0.367941 \tabularnewline
40 & -0.090612 & -0.6278 & 0.733437 \tabularnewline
41 & -0.011919 & -0.0826 & 0.532733 \tabularnewline
42 & -0.150689 & -1.044 & 0.849144 \tabularnewline
43 & 0.013226 & 0.0916 & 0.463687 \tabularnewline
44 & 0.054891 & 0.3803 & 0.352702 \tabularnewline
45 & -0.029362 & -0.2034 & 0.580169 \tabularnewline
46 & -0.05949 & -0.4122 & 0.658971 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2479&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]-0.547706[/C][C]-3.7946[/C][C]0.999793[/C][/ROW]
[ROW][C]1[/C][C]-0.387847[/C][C]-2.6871[/C][C]0.995063[/C][/ROW]
[ROW][C]2[/C][C]0.105867[/C][C]0.7335[/C][C]0.233421[/C][/ROW]
[ROW][C]3[/C][C]-0.050418[/C][C]-0.3493[/C][C]0.635808[/C][/ROW]
[ROW][C]4[/C][C]0.117193[/C][C]0.8119[/C][C]0.210418[/C][/ROW]
[ROW][C]5[/C][C]0.120644[/C][C]0.8358[/C][C]0.203692[/C][/ROW]
[ROW][C]6[/C][C]0.039179[/C][C]0.2714[/C][C]0.393608[/C][/ROW]
[ROW][C]7[/C][C]-0.148002[/C][C]-1.0254[/C][C]0.844839[/C][/ROW]
[ROW][C]8[/C][C]-0.144257[/C][C]-0.9994[/C][C]0.838704[/C][/ROW]
[ROW][C]9[/C][C]-0.06505[/C][C]-0.4507[/C][C]0.672875[/C][/ROW]
[ROW][C]10[/C][C]-0.122299[/C][C]-0.8473[/C][C]0.799486[/C][/ROW]
[ROW][C]11[/C][C]-0.105004[/C][C]-0.7275[/C][C]0.764769[/C][/ROW]
[ROW][C]12[/C][C]-0.225866[/C][C]-1.5648[/C][C]0.937905[/C][/ROW]
[ROW][C]13[/C][C]-0.270508[/C][C]-1.8741[/C][C]0.966497[/C][/ROW]
[ROW][C]14[/C][C]0.214157[/C][C]1.4837[/C][C]0.07221[/C][/ROW]
[ROW][C]15[/C][C]-0.149654[/C][C]-1.0368[/C][C]0.847496[/C][/ROW]
[ROW][C]16[/C][C]-0.148093[/C][C]-1.026[/C][C]0.844986[/C][/ROW]
[ROW][C]17[/C][C]0.002517[/C][C]0.0174[/C][C]0.49308[/C][/ROW]
[ROW][C]18[/C][C]0.015215[/C][C]0.1054[/C][C]0.458243[/C][/ROW]
[ROW][C]19[/C][C]-0.086428[/C][C]-0.5988[/C][C]0.723936[/C][/ROW]
[ROW][C]20[/C][C]0.097594[/C][C]0.6761[/C][C]0.251096[/C][/ROW]
[ROW][C]21[/C][C]-0.144489[/C][C]-1.001[/C][C]0.839088[/C][/ROW]
[ROW][C]22[/C][C]0.150633[/C][C]1.0436[/C][C]0.150946[/C][/ROW]
[ROW][C]23[/C][C]0.131149[/C][C]0.9086[/C][C]0.184043[/C][/ROW]
[ROW][C]24[/C][C]-0.05844[/C][C]-0.4049[/C][C]0.656319[/C][/ROW]
[ROW][C]25[/C][C]0.025015[/C][C]0.1733[/C][C]0.431568[/C][/ROW]
[ROW][C]26[/C][C]-0.13742[/C][C]-0.9521[/C][C]0.827086[/C][/ROW]
[ROW][C]27[/C][C]0.099297[/C][C]0.6879[/C][C]0.247398[/C][/ROW]
[ROW][C]28[/C][C]-0.151365[/C][C]-1.0487[/C][C]0.850213[/C][/ROW]
[ROW][C]29[/C][C]-0.040942[/C][C]-0.2837[/C][C]0.611054[/C][/ROW]
[ROW][C]30[/C][C]0.029608[/C][C]0.2051[/C][C]0.419168[/C][/ROW]
[ROW][C]31[/C][C]0.008496[/C][C]0.0589[/C][C]0.476653[/C][/ROW]
[ROW][C]32[/C][C]0.001954[/C][C]0.0135[/C][C]0.494627[/C][/ROW]
[ROW][C]33[/C][C]0.03297[/C][C]0.2284[/C][C]0.410143[/C][/ROW]
[ROW][C]34[/C][C]0.026663[/C][C]0.1847[/C][C]0.427112[/C][/ROW]
[ROW][C]35[/C][C]-0.060315[/C][C]-0.4179[/C][C]0.661048[/C][/ROW]
[ROW][C]36[/C][C]-0.017965[/C][C]-0.1245[/C][C]0.549266[/C][/ROW]
[ROW][C]37[/C][C]-0.109708[/C][C]-0.7601[/C][C]0.774538[/C][/ROW]
[ROW][C]38[/C][C]0.063726[/C][C]0.4415[/C][C]0.330415[/C][/ROW]
[ROW][C]39[/C][C]0.04897[/C][C]0.3393[/C][C]0.367941[/C][/ROW]
[ROW][C]40[/C][C]-0.090612[/C][C]-0.6278[/C][C]0.733437[/C][/ROW]
[ROW][C]41[/C][C]-0.011919[/C][C]-0.0826[/C][C]0.532733[/C][/ROW]
[ROW][C]42[/C][C]-0.150689[/C][C]-1.044[/C][C]0.849144[/C][/ROW]
[ROW][C]43[/C][C]0.013226[/C][C]0.0916[/C][C]0.463687[/C][/ROW]
[ROW][C]44[/C][C]0.054891[/C][C]0.3803[/C][C]0.352702[/C][/ROW]
[ROW][C]45[/C][C]-0.029362[/C][C]-0.2034[/C][C]0.580169[/C][/ROW]
[ROW][C]46[/C][C]-0.05949[/C][C]-0.4122[/C][C]0.658971[/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=2479&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2479&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
0-0.547706-3.79460.999793
1-0.387847-2.68710.995063
20.1058670.73350.233421
3-0.050418-0.34930.635808
40.1171930.81190.210418
50.1206440.83580.203692
60.0391790.27140.393608
7-0.148002-1.02540.844839
8-0.144257-0.99940.838704
9-0.06505-0.45070.672875
10-0.122299-0.84730.799486
11-0.105004-0.72750.764769
12-0.225866-1.56480.937905
13-0.270508-1.87410.966497
140.2141571.48370.07221
15-0.149654-1.03680.847496
16-0.148093-1.0260.844986
170.0025170.01740.49308
180.0152150.10540.458243
19-0.086428-0.59880.723936
200.0975940.67610.251096
21-0.144489-1.0010.839088
220.1506331.04360.150946
230.1311490.90860.184043
24-0.05844-0.40490.656319
250.0250150.17330.431568
26-0.13742-0.95210.827086
270.0992970.68790.247398
28-0.151365-1.04870.850213
29-0.040942-0.28370.611054
300.0296080.20510.419168
310.0084960.05890.476653
320.0019540.01350.494627
330.032970.22840.410143
340.0266630.18470.427112
35-0.060315-0.41790.661048
36-0.017965-0.12450.549266
37-0.109708-0.76010.774538
380.0637260.44150.330415
390.048970.33930.367941
40-0.090612-0.62780.733437
41-0.011919-0.08260.532733
42-0.150689-1.0440.849144
430.0132260.09160.463687
440.0548910.38030.352702
45-0.029362-0.20340.580169
46-0.05949-0.41220.658971
47NANANA



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