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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 16 Aug 2009 09:23:14 -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/Aug/16/t12504362179nmwzkbu40bp2c3.htm/, Retrieved Sun, 05 May 2024 20:06:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42644, Retrieved Sun, 05 May 2024 20:06:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact185
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [Maarten Verhaegen...] [2008-08-17 13:34:14] [b57209f6d0b19d479b8c06a8ae81c48a]
- RMPD    [(Partial) Autocorrelation Function] [] [2009-08-16 15:23:14] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataseries X:
72.84
73.96
73.26
73.86
73.04
212.8
157.92
111.55
99.01
89.5
100.95
116.06
131.5
137.43
138.53
137.26
136.81
182.98
149.45
109.34
93.37
84.09
83.83
82.94
82.88
81.41
79.87
79.66
76.07
182.69
165.78
142.5
120.6
105.73
98.72
98.41
96.08
97.3
97.5
97.02
98.75
232.81
240.83
193.4
148.28
138.34
135.34
134.02
133.86
131.67
132.43
130.21
129.98
206.16
195.17
159.16
136.33
125.18
121.21
119.38
119.26
119.75
118.78
116.97
121.69
223.51
228.58
205.22
189.4
180.14
177.59
176.39
171.16
173.11
171.74
175.97
179.64
254.62
240.5
212.01
176.36
153.24
146.69
141.52
142.6
143.19
142.32
142.03
144.92
177.31
194.4
189.19
180.44
175.84
178.54
176.55




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=42644&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=42644&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42644&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
10.0351730.34280.366244
2-0.20067-1.95590.026708
3-0.170415-1.6610.050006
4-0.094539-0.92150.179575
5-0.022393-0.21830.413846
6-0.006831-0.06660.473528
7-0.015212-0.14830.441223
8-0.073235-0.71380.238549
9-0.13893-1.35410.089454
10-0.173554-1.69160.047001
110.0099530.0970.46146
120.7081736.90240
130.0547880.5340.297291
14-0.172439-1.68070.048051
15-0.152455-1.48590.070302
16-0.071963-0.70140.242383
17-0.004777-0.04660.481479
18-0.004758-0.04640.481554
19-0.010106-0.09850.460873
20-0.06965-0.67890.249436
21-0.134476-1.31070.096558
22-0.197229-1.92240.028779
23-0.052996-0.51650.30334
240.6594076.42710
250.0939050.91530.181184
26-0.093179-0.90820.183037
27-0.11216-1.09320.138535
28-0.053747-0.52390.300799
290.0030150.02940.488308
300.0066720.0650.474141
31-0.015193-0.14810.441296
32-0.061669-0.60110.274611
33-0.11512-1.12210.132335
34-0.15858-1.54560.062757
35-0.058701-0.57210.284288
360.5716575.57180
370.1184131.15410.125668
38-0.094915-0.92510.178625
39-0.134018-1.30620.097311
40-0.053919-0.52550.300219
41-0.00505-0.04920.480421
42-0.004946-0.04820.480824
43-0.011104-0.10820.45702
44-0.044311-0.43190.3334
45-0.071184-0.69380.244747
46-0.111844-1.09010.13921
47-0.054885-0.5350.296966
480.3587433.49660.000359

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.035173 & 0.3428 & 0.366244 \tabularnewline
2 & -0.20067 & -1.9559 & 0.026708 \tabularnewline
3 & -0.170415 & -1.661 & 0.050006 \tabularnewline
4 & -0.094539 & -0.9215 & 0.179575 \tabularnewline
5 & -0.022393 & -0.2183 & 0.413846 \tabularnewline
6 & -0.006831 & -0.0666 & 0.473528 \tabularnewline
7 & -0.015212 & -0.1483 & 0.441223 \tabularnewline
8 & -0.073235 & -0.7138 & 0.238549 \tabularnewline
9 & -0.13893 & -1.3541 & 0.089454 \tabularnewline
10 & -0.173554 & -1.6916 & 0.047001 \tabularnewline
11 & 0.009953 & 0.097 & 0.46146 \tabularnewline
12 & 0.708173 & 6.9024 & 0 \tabularnewline
13 & 0.054788 & 0.534 & 0.297291 \tabularnewline
14 & -0.172439 & -1.6807 & 0.048051 \tabularnewline
15 & -0.152455 & -1.4859 & 0.070302 \tabularnewline
16 & -0.071963 & -0.7014 & 0.242383 \tabularnewline
17 & -0.004777 & -0.0466 & 0.481479 \tabularnewline
18 & -0.004758 & -0.0464 & 0.481554 \tabularnewline
19 & -0.010106 & -0.0985 & 0.460873 \tabularnewline
20 & -0.06965 & -0.6789 & 0.249436 \tabularnewline
21 & -0.134476 & -1.3107 & 0.096558 \tabularnewline
22 & -0.197229 & -1.9224 & 0.028779 \tabularnewline
23 & -0.052996 & -0.5165 & 0.30334 \tabularnewline
24 & 0.659407 & 6.4271 & 0 \tabularnewline
25 & 0.093905 & 0.9153 & 0.181184 \tabularnewline
26 & -0.093179 & -0.9082 & 0.183037 \tabularnewline
27 & -0.11216 & -1.0932 & 0.138535 \tabularnewline
28 & -0.053747 & -0.5239 & 0.300799 \tabularnewline
29 & 0.003015 & 0.0294 & 0.488308 \tabularnewline
30 & 0.006672 & 0.065 & 0.474141 \tabularnewline
31 & -0.015193 & -0.1481 & 0.441296 \tabularnewline
32 & -0.061669 & -0.6011 & 0.274611 \tabularnewline
33 & -0.11512 & -1.1221 & 0.132335 \tabularnewline
34 & -0.15858 & -1.5456 & 0.062757 \tabularnewline
35 & -0.058701 & -0.5721 & 0.284288 \tabularnewline
36 & 0.571657 & 5.5718 & 0 \tabularnewline
37 & 0.118413 & 1.1541 & 0.125668 \tabularnewline
38 & -0.094915 & -0.9251 & 0.178625 \tabularnewline
39 & -0.134018 & -1.3062 & 0.097311 \tabularnewline
40 & -0.053919 & -0.5255 & 0.300219 \tabularnewline
41 & -0.00505 & -0.0492 & 0.480421 \tabularnewline
42 & -0.004946 & -0.0482 & 0.480824 \tabularnewline
43 & -0.011104 & -0.1082 & 0.45702 \tabularnewline
44 & -0.044311 & -0.4319 & 0.3334 \tabularnewline
45 & -0.071184 & -0.6938 & 0.244747 \tabularnewline
46 & -0.111844 & -1.0901 & 0.13921 \tabularnewline
47 & -0.054885 & -0.535 & 0.296966 \tabularnewline
48 & 0.358743 & 3.4966 & 0.000359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42644&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]0.035173[/C][C]0.3428[/C][C]0.366244[/C][/ROW]
[ROW][C]2[/C][C]-0.20067[/C][C]-1.9559[/C][C]0.026708[/C][/ROW]
[ROW][C]3[/C][C]-0.170415[/C][C]-1.661[/C][C]0.050006[/C][/ROW]
[ROW][C]4[/C][C]-0.094539[/C][C]-0.9215[/C][C]0.179575[/C][/ROW]
[ROW][C]5[/C][C]-0.022393[/C][C]-0.2183[/C][C]0.413846[/C][/ROW]
[ROW][C]6[/C][C]-0.006831[/C][C]-0.0666[/C][C]0.473528[/C][/ROW]
[ROW][C]7[/C][C]-0.015212[/C][C]-0.1483[/C][C]0.441223[/C][/ROW]
[ROW][C]8[/C][C]-0.073235[/C][C]-0.7138[/C][C]0.238549[/C][/ROW]
[ROW][C]9[/C][C]-0.13893[/C][C]-1.3541[/C][C]0.089454[/C][/ROW]
[ROW][C]10[/C][C]-0.173554[/C][C]-1.6916[/C][C]0.047001[/C][/ROW]
[ROW][C]11[/C][C]0.009953[/C][C]0.097[/C][C]0.46146[/C][/ROW]
[ROW][C]12[/C][C]0.708173[/C][C]6.9024[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.054788[/C][C]0.534[/C][C]0.297291[/C][/ROW]
[ROW][C]14[/C][C]-0.172439[/C][C]-1.6807[/C][C]0.048051[/C][/ROW]
[ROW][C]15[/C][C]-0.152455[/C][C]-1.4859[/C][C]0.070302[/C][/ROW]
[ROW][C]16[/C][C]-0.071963[/C][C]-0.7014[/C][C]0.242383[/C][/ROW]
[ROW][C]17[/C][C]-0.004777[/C][C]-0.0466[/C][C]0.481479[/C][/ROW]
[ROW][C]18[/C][C]-0.004758[/C][C]-0.0464[/C][C]0.481554[/C][/ROW]
[ROW][C]19[/C][C]-0.010106[/C][C]-0.0985[/C][C]0.460873[/C][/ROW]
[ROW][C]20[/C][C]-0.06965[/C][C]-0.6789[/C][C]0.249436[/C][/ROW]
[ROW][C]21[/C][C]-0.134476[/C][C]-1.3107[/C][C]0.096558[/C][/ROW]
[ROW][C]22[/C][C]-0.197229[/C][C]-1.9224[/C][C]0.028779[/C][/ROW]
[ROW][C]23[/C][C]-0.052996[/C][C]-0.5165[/C][C]0.30334[/C][/ROW]
[ROW][C]24[/C][C]0.659407[/C][C]6.4271[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.093905[/C][C]0.9153[/C][C]0.181184[/C][/ROW]
[ROW][C]26[/C][C]-0.093179[/C][C]-0.9082[/C][C]0.183037[/C][/ROW]
[ROW][C]27[/C][C]-0.11216[/C][C]-1.0932[/C][C]0.138535[/C][/ROW]
[ROW][C]28[/C][C]-0.053747[/C][C]-0.5239[/C][C]0.300799[/C][/ROW]
[ROW][C]29[/C][C]0.003015[/C][C]0.0294[/C][C]0.488308[/C][/ROW]
[ROW][C]30[/C][C]0.006672[/C][C]0.065[/C][C]0.474141[/C][/ROW]
[ROW][C]31[/C][C]-0.015193[/C][C]-0.1481[/C][C]0.441296[/C][/ROW]
[ROW][C]32[/C][C]-0.061669[/C][C]-0.6011[/C][C]0.274611[/C][/ROW]
[ROW][C]33[/C][C]-0.11512[/C][C]-1.1221[/C][C]0.132335[/C][/ROW]
[ROW][C]34[/C][C]-0.15858[/C][C]-1.5456[/C][C]0.062757[/C][/ROW]
[ROW][C]35[/C][C]-0.058701[/C][C]-0.5721[/C][C]0.284288[/C][/ROW]
[ROW][C]36[/C][C]0.571657[/C][C]5.5718[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0.118413[/C][C]1.1541[/C][C]0.125668[/C][/ROW]
[ROW][C]38[/C][C]-0.094915[/C][C]-0.9251[/C][C]0.178625[/C][/ROW]
[ROW][C]39[/C][C]-0.134018[/C][C]-1.3062[/C][C]0.097311[/C][/ROW]
[ROW][C]40[/C][C]-0.053919[/C][C]-0.5255[/C][C]0.300219[/C][/ROW]
[ROW][C]41[/C][C]-0.00505[/C][C]-0.0492[/C][C]0.480421[/C][/ROW]
[ROW][C]42[/C][C]-0.004946[/C][C]-0.0482[/C][C]0.480824[/C][/ROW]
[ROW][C]43[/C][C]-0.011104[/C][C]-0.1082[/C][C]0.45702[/C][/ROW]
[ROW][C]44[/C][C]-0.044311[/C][C]-0.4319[/C][C]0.3334[/C][/ROW]
[ROW][C]45[/C][C]-0.071184[/C][C]-0.6938[/C][C]0.244747[/C][/ROW]
[ROW][C]46[/C][C]-0.111844[/C][C]-1.0901[/C][C]0.13921[/C][/ROW]
[ROW][C]47[/C][C]-0.054885[/C][C]-0.535[/C][C]0.296966[/C][/ROW]
[ROW][C]48[/C][C]0.358743[/C][C]3.4966[/C][C]0.000359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42644&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42644&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
10.0351730.34280.366244
2-0.20067-1.95590.026708
3-0.170415-1.6610.050006
4-0.094539-0.92150.179575
5-0.022393-0.21830.413846
6-0.006831-0.06660.473528
7-0.015212-0.14830.441223
8-0.073235-0.71380.238549
9-0.13893-1.35410.089454
10-0.173554-1.69160.047001
110.0099530.0970.46146
120.7081736.90240
130.0547880.5340.297291
14-0.172439-1.68070.048051
15-0.152455-1.48590.070302
16-0.071963-0.70140.242383
17-0.004777-0.04660.481479
18-0.004758-0.04640.481554
19-0.010106-0.09850.460873
20-0.06965-0.67890.249436
21-0.134476-1.31070.096558
22-0.197229-1.92240.028779
23-0.052996-0.51650.30334
240.6594076.42710
250.0939050.91530.181184
26-0.093179-0.90820.183037
27-0.11216-1.09320.138535
28-0.053747-0.52390.300799
290.0030150.02940.488308
300.0066720.0650.474141
31-0.015193-0.14810.441296
32-0.061669-0.60110.274611
33-0.11512-1.12210.132335
34-0.15858-1.54560.062757
35-0.058701-0.57210.284288
360.5716575.57180
370.1184131.15410.125668
38-0.094915-0.92510.178625
39-0.134018-1.30620.097311
40-0.053919-0.52550.300219
41-0.00505-0.04920.480421
42-0.004946-0.04820.480824
43-0.011104-0.10820.45702
44-0.044311-0.43190.3334
45-0.071184-0.69380.244747
46-0.111844-1.09010.13921
47-0.054885-0.5350.296966
480.3587433.49660.000359







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0351730.34280.366244
2-0.202157-1.97040.025853
3-0.161616-1.57520.059263
4-0.135501-1.32070.094888
5-0.096916-0.94460.173624
6-0.09352-0.91150.182165
7-0.092917-0.90560.183709
8-0.150574-1.46760.072757
9-0.236265-2.30280.011735
10-0.351337-3.42440.000456
11-0.302037-2.94390.002037
120.5587745.44630
13-0.067799-0.66080.255163
14-0.039082-0.38090.352053
15-0.035231-0.34340.366031
16-0.017701-0.17250.431696
17-0.025782-0.25130.401064
18-0.057598-0.56140.287925
19-0.05737-0.55920.288679
20-0.094152-0.91770.180556
21-0.127995-1.24750.107632
22-0.222496-2.16860.016304
23-0.282722-2.75560.003511
240.1294311.26150.105102
25-0.123715-1.20580.115439
260.0109380.10660.457663
27-0.024378-0.23760.40635
28-0.018487-0.18020.428695
29-0.02113-0.2060.418635
30-0.005085-0.04960.480286
31-0.042686-0.4160.339157
32-0.033174-0.32330.373573
33-0.029379-0.28640.387616
340.0207160.20190.420208
35-0.016712-0.16290.435477
360.0548940.5350.296935
370.0275750.26880.394344
38-0.020528-0.20010.420922
39-0.048569-0.47340.318511
40-0.001987-0.01940.492294
41-0.040451-0.39430.347133
42-0.047939-0.46720.320697
43-0.036107-0.35190.362837
44-0.012513-0.1220.451593
450.045060.43920.330762
460.122311.19210.11809
470.1590021.54980.062262
48-0.211581-2.06220.020958

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.035173 & 0.3428 & 0.366244 \tabularnewline
2 & -0.202157 & -1.9704 & 0.025853 \tabularnewline
3 & -0.161616 & -1.5752 & 0.059263 \tabularnewline
4 & -0.135501 & -1.3207 & 0.094888 \tabularnewline
5 & -0.096916 & -0.9446 & 0.173624 \tabularnewline
6 & -0.09352 & -0.9115 & 0.182165 \tabularnewline
7 & -0.092917 & -0.9056 & 0.183709 \tabularnewline
8 & -0.150574 & -1.4676 & 0.072757 \tabularnewline
9 & -0.236265 & -2.3028 & 0.011735 \tabularnewline
10 & -0.351337 & -3.4244 & 0.000456 \tabularnewline
11 & -0.302037 & -2.9439 & 0.002037 \tabularnewline
12 & 0.558774 & 5.4463 & 0 \tabularnewline
13 & -0.067799 & -0.6608 & 0.255163 \tabularnewline
14 & -0.039082 & -0.3809 & 0.352053 \tabularnewline
15 & -0.035231 & -0.3434 & 0.366031 \tabularnewline
16 & -0.017701 & -0.1725 & 0.431696 \tabularnewline
17 & -0.025782 & -0.2513 & 0.401064 \tabularnewline
18 & -0.057598 & -0.5614 & 0.287925 \tabularnewline
19 & -0.05737 & -0.5592 & 0.288679 \tabularnewline
20 & -0.094152 & -0.9177 & 0.180556 \tabularnewline
21 & -0.127995 & -1.2475 & 0.107632 \tabularnewline
22 & -0.222496 & -2.1686 & 0.016304 \tabularnewline
23 & -0.282722 & -2.7556 & 0.003511 \tabularnewline
24 & 0.129431 & 1.2615 & 0.105102 \tabularnewline
25 & -0.123715 & -1.2058 & 0.115439 \tabularnewline
26 & 0.010938 & 0.1066 & 0.457663 \tabularnewline
27 & -0.024378 & -0.2376 & 0.40635 \tabularnewline
28 & -0.018487 & -0.1802 & 0.428695 \tabularnewline
29 & -0.02113 & -0.206 & 0.418635 \tabularnewline
30 & -0.005085 & -0.0496 & 0.480286 \tabularnewline
31 & -0.042686 & -0.416 & 0.339157 \tabularnewline
32 & -0.033174 & -0.3233 & 0.373573 \tabularnewline
33 & -0.029379 & -0.2864 & 0.387616 \tabularnewline
34 & 0.020716 & 0.2019 & 0.420208 \tabularnewline
35 & -0.016712 & -0.1629 & 0.435477 \tabularnewline
36 & 0.054894 & 0.535 & 0.296935 \tabularnewline
37 & 0.027575 & 0.2688 & 0.394344 \tabularnewline
38 & -0.020528 & -0.2001 & 0.420922 \tabularnewline
39 & -0.048569 & -0.4734 & 0.318511 \tabularnewline
40 & -0.001987 & -0.0194 & 0.492294 \tabularnewline
41 & -0.040451 & -0.3943 & 0.347133 \tabularnewline
42 & -0.047939 & -0.4672 & 0.320697 \tabularnewline
43 & -0.036107 & -0.3519 & 0.362837 \tabularnewline
44 & -0.012513 & -0.122 & 0.451593 \tabularnewline
45 & 0.04506 & 0.4392 & 0.330762 \tabularnewline
46 & 0.12231 & 1.1921 & 0.11809 \tabularnewline
47 & 0.159002 & 1.5498 & 0.062262 \tabularnewline
48 & -0.211581 & -2.0622 & 0.020958 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42644&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]0.035173[/C][C]0.3428[/C][C]0.366244[/C][/ROW]
[ROW][C]2[/C][C]-0.202157[/C][C]-1.9704[/C][C]0.025853[/C][/ROW]
[ROW][C]3[/C][C]-0.161616[/C][C]-1.5752[/C][C]0.059263[/C][/ROW]
[ROW][C]4[/C][C]-0.135501[/C][C]-1.3207[/C][C]0.094888[/C][/ROW]
[ROW][C]5[/C][C]-0.096916[/C][C]-0.9446[/C][C]0.173624[/C][/ROW]
[ROW][C]6[/C][C]-0.09352[/C][C]-0.9115[/C][C]0.182165[/C][/ROW]
[ROW][C]7[/C][C]-0.092917[/C][C]-0.9056[/C][C]0.183709[/C][/ROW]
[ROW][C]8[/C][C]-0.150574[/C][C]-1.4676[/C][C]0.072757[/C][/ROW]
[ROW][C]9[/C][C]-0.236265[/C][C]-2.3028[/C][C]0.011735[/C][/ROW]
[ROW][C]10[/C][C]-0.351337[/C][C]-3.4244[/C][C]0.000456[/C][/ROW]
[ROW][C]11[/C][C]-0.302037[/C][C]-2.9439[/C][C]0.002037[/C][/ROW]
[ROW][C]12[/C][C]0.558774[/C][C]5.4463[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.067799[/C][C]-0.6608[/C][C]0.255163[/C][/ROW]
[ROW][C]14[/C][C]-0.039082[/C][C]-0.3809[/C][C]0.352053[/C][/ROW]
[ROW][C]15[/C][C]-0.035231[/C][C]-0.3434[/C][C]0.366031[/C][/ROW]
[ROW][C]16[/C][C]-0.017701[/C][C]-0.1725[/C][C]0.431696[/C][/ROW]
[ROW][C]17[/C][C]-0.025782[/C][C]-0.2513[/C][C]0.401064[/C][/ROW]
[ROW][C]18[/C][C]-0.057598[/C][C]-0.5614[/C][C]0.287925[/C][/ROW]
[ROW][C]19[/C][C]-0.05737[/C][C]-0.5592[/C][C]0.288679[/C][/ROW]
[ROW][C]20[/C][C]-0.094152[/C][C]-0.9177[/C][C]0.180556[/C][/ROW]
[ROW][C]21[/C][C]-0.127995[/C][C]-1.2475[/C][C]0.107632[/C][/ROW]
[ROW][C]22[/C][C]-0.222496[/C][C]-2.1686[/C][C]0.016304[/C][/ROW]
[ROW][C]23[/C][C]-0.282722[/C][C]-2.7556[/C][C]0.003511[/C][/ROW]
[ROW][C]24[/C][C]0.129431[/C][C]1.2615[/C][C]0.105102[/C][/ROW]
[ROW][C]25[/C][C]-0.123715[/C][C]-1.2058[/C][C]0.115439[/C][/ROW]
[ROW][C]26[/C][C]0.010938[/C][C]0.1066[/C][C]0.457663[/C][/ROW]
[ROW][C]27[/C][C]-0.024378[/C][C]-0.2376[/C][C]0.40635[/C][/ROW]
[ROW][C]28[/C][C]-0.018487[/C][C]-0.1802[/C][C]0.428695[/C][/ROW]
[ROW][C]29[/C][C]-0.02113[/C][C]-0.206[/C][C]0.418635[/C][/ROW]
[ROW][C]30[/C][C]-0.005085[/C][C]-0.0496[/C][C]0.480286[/C][/ROW]
[ROW][C]31[/C][C]-0.042686[/C][C]-0.416[/C][C]0.339157[/C][/ROW]
[ROW][C]32[/C][C]-0.033174[/C][C]-0.3233[/C][C]0.373573[/C][/ROW]
[ROW][C]33[/C][C]-0.029379[/C][C]-0.2864[/C][C]0.387616[/C][/ROW]
[ROW][C]34[/C][C]0.020716[/C][C]0.2019[/C][C]0.420208[/C][/ROW]
[ROW][C]35[/C][C]-0.016712[/C][C]-0.1629[/C][C]0.435477[/C][/ROW]
[ROW][C]36[/C][C]0.054894[/C][C]0.535[/C][C]0.296935[/C][/ROW]
[ROW][C]37[/C][C]0.027575[/C][C]0.2688[/C][C]0.394344[/C][/ROW]
[ROW][C]38[/C][C]-0.020528[/C][C]-0.2001[/C][C]0.420922[/C][/ROW]
[ROW][C]39[/C][C]-0.048569[/C][C]-0.4734[/C][C]0.318511[/C][/ROW]
[ROW][C]40[/C][C]-0.001987[/C][C]-0.0194[/C][C]0.492294[/C][/ROW]
[ROW][C]41[/C][C]-0.040451[/C][C]-0.3943[/C][C]0.347133[/C][/ROW]
[ROW][C]42[/C][C]-0.047939[/C][C]-0.4672[/C][C]0.320697[/C][/ROW]
[ROW][C]43[/C][C]-0.036107[/C][C]-0.3519[/C][C]0.362837[/C][/ROW]
[ROW][C]44[/C][C]-0.012513[/C][C]-0.122[/C][C]0.451593[/C][/ROW]
[ROW][C]45[/C][C]0.04506[/C][C]0.4392[/C][C]0.330762[/C][/ROW]
[ROW][C]46[/C][C]0.12231[/C][C]1.1921[/C][C]0.11809[/C][/ROW]
[ROW][C]47[/C][C]0.159002[/C][C]1.5498[/C][C]0.062262[/C][/ROW]
[ROW][C]48[/C][C]-0.211581[/C][C]-2.0622[/C][C]0.020958[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42644&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42644&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
10.0351730.34280.366244
2-0.202157-1.97040.025853
3-0.161616-1.57520.059263
4-0.135501-1.32070.094888
5-0.096916-0.94460.173624
6-0.09352-0.91150.182165
7-0.092917-0.90560.183709
8-0.150574-1.46760.072757
9-0.236265-2.30280.011735
10-0.351337-3.42440.000456
11-0.302037-2.94390.002037
120.5587745.44630
13-0.067799-0.66080.255163
14-0.039082-0.38090.352053
15-0.035231-0.34340.366031
16-0.017701-0.17250.431696
17-0.025782-0.25130.401064
18-0.057598-0.56140.287925
19-0.05737-0.55920.288679
20-0.094152-0.91770.180556
21-0.127995-1.24750.107632
22-0.222496-2.16860.016304
23-0.282722-2.75560.003511
240.1294311.26150.105102
25-0.123715-1.20580.115439
260.0109380.10660.457663
27-0.024378-0.23760.40635
28-0.018487-0.18020.428695
29-0.02113-0.2060.418635
30-0.005085-0.04960.480286
31-0.042686-0.4160.339157
32-0.033174-0.32330.373573
33-0.029379-0.28640.387616
340.0207160.20190.420208
35-0.016712-0.16290.435477
360.0548940.5350.296935
370.0275750.26880.394344
38-0.020528-0.20010.420922
39-0.048569-0.47340.318511
40-0.001987-0.01940.492294
41-0.040451-0.39430.347133
42-0.047939-0.46720.320697
43-0.036107-0.35190.362837
44-0.012513-0.1220.451593
450.045060.43920.330762
460.122311.19210.11809
470.1590021.54980.062262
48-0.211581-2.06220.020958



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')