Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 01:04:31 -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/2008/Dec/17/t1229501112xv7f0kxjnyf1rrl.htm/, Retrieved Sun, 19 May 2024 04:07:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34268, Retrieved Sun, 19 May 2024 04:07:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper] [2008-12-17 08:04:31] [821c4b3d195be8e737cf8c9dc649d3cf] [Current]
-   P     [(Partial) Autocorrelation Function] [] [2008-12-17 08:07:15] [3a9fc6d5b5e0e816787b7dbace57e7cd]
- RMP     [Spectral Analysis] [paper] [2008-12-17 08:10:31] [3a9fc6d5b5e0e816787b7dbace57e7cd]
-   P       [Spectral Analysis] [paper] [2008-12-17 08:14:49] [3a9fc6d5b5e0e816787b7dbace57e7cd]
- RMP         [ARIMA Backward Selection] [] [2008-12-17 11:48:26] [3a9fc6d5b5e0e816787b7dbace57e7cd]
- RMP         [ARIMA Forecasting] [] [2008-12-17 11:52:44] [3a9fc6d5b5e0e816787b7dbace57e7cd]
Feedback Forum

Post a new message
Dataseries X:
31.58
27.88
27.32
28.89
28.05
28.73
32.00
34.53
33.47
34.09
35.47
34.59
34.32
32.78
28.38
29.18
28.62
28.20
29.33
29.72
26.29
26.82
27.64
27.10
27.05
26.02
25.76
25.94
24.97
21.74
18.16
16.95
16.46
16.44
18.20
16.44
15.70
13.94
12.23
14.75
14.62
15.04
15.50
16.10
15.44
15.14
15.42
15.69
17.57
18.42
17.96
18.39
17.63
17.95
17.79
17.73
18.99
19.83
20.23
20.24
21.12
21.25
21.80
21.84
22.21
22.64
23.54
23.78
23.65
23.93
24.77
26.26
27.69
29.54
29.31
29.26
28.69
26.16
27.12
29.40
30.99
32.96
32.20
31.67
32.49
33.66
32.44
34.38
32.36
30.73
30.31
27.26
25.05
22.33
18.26
18.30
16.00
14.36
14.98
16.88
16.56
13.31
9.61
9.34
7.89
1.71
0.81
0.71




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=34268&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=34268&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34268&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
10.932989.69580
20.8566118.90220
30.7793198.09890
40.7103527.38220
50.6454746.7080
60.5782076.00890
70.5146675.34860
80.4574294.75373e-06
90.3967454.12313.7e-05
100.3211863.33790.000579
110.2403632.49790.007
120.1627131.6910.046864
130.0854910.88840.188138
140.0071080.07390.470627
15-0.054063-0.56180.287696
16-0.111982-1.16380.123545
17-0.166678-1.73220.043049
18-0.212412-2.20740.014699
19-0.255845-2.65880.004517
20-0.294159-3.0570.001409
21-0.314964-3.27320.000714
22-0.338467-3.51750.000319
23-0.354418-3.68320.000181
24-0.368763-3.83230.000107
25-0.384621-3.99715.9e-05
26-0.393871-4.09324.1e-05
27-0.394326-4.0984e-05
28-0.40021-4.15913.2e-05
29-0.409831-4.25912.2e-05
30-0.420596-4.3711.4e-05
31-0.428011-4.4481.1e-05
32-0.421598-4.38141.4e-05
33-0.40887-4.24912.3e-05
34-0.39327-4.0874.2e-05
35-0.374938-3.89658.5e-05
36-0.353956-3.67840.000184
37-0.335363-3.48520.000356
38-0.317231-3.29680.000662
39-0.296602-3.08240.001303
40-0.281515-2.92560.002096
41-0.262865-2.73180.00368
42-0.242998-2.52530.006506
43-0.224566-2.33380.01073
44-0.202061-2.09990.019034
45-0.176014-1.82920.035065
46-0.146438-1.52180.065487
47-0.116647-1.21220.114035
48-0.086031-0.89410.186639
49-0.058774-0.61080.271307
50-0.027732-0.28820.386874
510.0050990.0530.478919
520.0345020.35860.360313
530.0637640.66270.25448
540.0929850.96630.168019
550.124141.29010.099885
560.1570851.63250.052745
570.1905911.98070.025085
580.2218632.30570.01152
590.2548782.64880.004645
600.2851052.96290.001875

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.93298 & 9.6958 & 0 \tabularnewline
2 & 0.856611 & 8.9022 & 0 \tabularnewline
3 & 0.779319 & 8.0989 & 0 \tabularnewline
4 & 0.710352 & 7.3822 & 0 \tabularnewline
5 & 0.645474 & 6.708 & 0 \tabularnewline
6 & 0.578207 & 6.0089 & 0 \tabularnewline
7 & 0.514667 & 5.3486 & 0 \tabularnewline
8 & 0.457429 & 4.7537 & 3e-06 \tabularnewline
9 & 0.396745 & 4.1231 & 3.7e-05 \tabularnewline
10 & 0.321186 & 3.3379 & 0.000579 \tabularnewline
11 & 0.240363 & 2.4979 & 0.007 \tabularnewline
12 & 0.162713 & 1.691 & 0.046864 \tabularnewline
13 & 0.085491 & 0.8884 & 0.188138 \tabularnewline
14 & 0.007108 & 0.0739 & 0.470627 \tabularnewline
15 & -0.054063 & -0.5618 & 0.287696 \tabularnewline
16 & -0.111982 & -1.1638 & 0.123545 \tabularnewline
17 & -0.166678 & -1.7322 & 0.043049 \tabularnewline
18 & -0.212412 & -2.2074 & 0.014699 \tabularnewline
19 & -0.255845 & -2.6588 & 0.004517 \tabularnewline
20 & -0.294159 & -3.057 & 0.001409 \tabularnewline
21 & -0.314964 & -3.2732 & 0.000714 \tabularnewline
22 & -0.338467 & -3.5175 & 0.000319 \tabularnewline
23 & -0.354418 & -3.6832 & 0.000181 \tabularnewline
24 & -0.368763 & -3.8323 & 0.000107 \tabularnewline
25 & -0.384621 & -3.9971 & 5.9e-05 \tabularnewline
26 & -0.393871 & -4.0932 & 4.1e-05 \tabularnewline
27 & -0.394326 & -4.098 & 4e-05 \tabularnewline
28 & -0.40021 & -4.1591 & 3.2e-05 \tabularnewline
29 & -0.409831 & -4.2591 & 2.2e-05 \tabularnewline
30 & -0.420596 & -4.371 & 1.4e-05 \tabularnewline
31 & -0.428011 & -4.448 & 1.1e-05 \tabularnewline
32 & -0.421598 & -4.3814 & 1.4e-05 \tabularnewline
33 & -0.40887 & -4.2491 & 2.3e-05 \tabularnewline
34 & -0.39327 & -4.087 & 4.2e-05 \tabularnewline
35 & -0.374938 & -3.8965 & 8.5e-05 \tabularnewline
36 & -0.353956 & -3.6784 & 0.000184 \tabularnewline
37 & -0.335363 & -3.4852 & 0.000356 \tabularnewline
38 & -0.317231 & -3.2968 & 0.000662 \tabularnewline
39 & -0.296602 & -3.0824 & 0.001303 \tabularnewline
40 & -0.281515 & -2.9256 & 0.002096 \tabularnewline
41 & -0.262865 & -2.7318 & 0.00368 \tabularnewline
42 & -0.242998 & -2.5253 & 0.006506 \tabularnewline
43 & -0.224566 & -2.3338 & 0.01073 \tabularnewline
44 & -0.202061 & -2.0999 & 0.019034 \tabularnewline
45 & -0.176014 & -1.8292 & 0.035065 \tabularnewline
46 & -0.146438 & -1.5218 & 0.065487 \tabularnewline
47 & -0.116647 & -1.2122 & 0.114035 \tabularnewline
48 & -0.086031 & -0.8941 & 0.186639 \tabularnewline
49 & -0.058774 & -0.6108 & 0.271307 \tabularnewline
50 & -0.027732 & -0.2882 & 0.386874 \tabularnewline
51 & 0.005099 & 0.053 & 0.478919 \tabularnewline
52 & 0.034502 & 0.3586 & 0.360313 \tabularnewline
53 & 0.063764 & 0.6627 & 0.25448 \tabularnewline
54 & 0.092985 & 0.9663 & 0.168019 \tabularnewline
55 & 0.12414 & 1.2901 & 0.099885 \tabularnewline
56 & 0.157085 & 1.6325 & 0.052745 \tabularnewline
57 & 0.190591 & 1.9807 & 0.025085 \tabularnewline
58 & 0.221863 & 2.3057 & 0.01152 \tabularnewline
59 & 0.254878 & 2.6488 & 0.004645 \tabularnewline
60 & 0.285105 & 2.9629 & 0.001875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34268&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]0.93298[/C][C]9.6958[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.856611[/C][C]8.9022[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.779319[/C][C]8.0989[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.710352[/C][C]7.3822[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.645474[/C][C]6.708[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.578207[/C][C]6.0089[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.514667[/C][C]5.3486[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.457429[/C][C]4.7537[/C][C]3e-06[/C][/ROW]
[ROW][C]9[/C][C]0.396745[/C][C]4.1231[/C][C]3.7e-05[/C][/ROW]
[ROW][C]10[/C][C]0.321186[/C][C]3.3379[/C][C]0.000579[/C][/ROW]
[ROW][C]11[/C][C]0.240363[/C][C]2.4979[/C][C]0.007[/C][/ROW]
[ROW][C]12[/C][C]0.162713[/C][C]1.691[/C][C]0.046864[/C][/ROW]
[ROW][C]13[/C][C]0.085491[/C][C]0.8884[/C][C]0.188138[/C][/ROW]
[ROW][C]14[/C][C]0.007108[/C][C]0.0739[/C][C]0.470627[/C][/ROW]
[ROW][C]15[/C][C]-0.054063[/C][C]-0.5618[/C][C]0.287696[/C][/ROW]
[ROW][C]16[/C][C]-0.111982[/C][C]-1.1638[/C][C]0.123545[/C][/ROW]
[ROW][C]17[/C][C]-0.166678[/C][C]-1.7322[/C][C]0.043049[/C][/ROW]
[ROW][C]18[/C][C]-0.212412[/C][C]-2.2074[/C][C]0.014699[/C][/ROW]
[ROW][C]19[/C][C]-0.255845[/C][C]-2.6588[/C][C]0.004517[/C][/ROW]
[ROW][C]20[/C][C]-0.294159[/C][C]-3.057[/C][C]0.001409[/C][/ROW]
[ROW][C]21[/C][C]-0.314964[/C][C]-3.2732[/C][C]0.000714[/C][/ROW]
[ROW][C]22[/C][C]-0.338467[/C][C]-3.5175[/C][C]0.000319[/C][/ROW]
[ROW][C]23[/C][C]-0.354418[/C][C]-3.6832[/C][C]0.000181[/C][/ROW]
[ROW][C]24[/C][C]-0.368763[/C][C]-3.8323[/C][C]0.000107[/C][/ROW]
[ROW][C]25[/C][C]-0.384621[/C][C]-3.9971[/C][C]5.9e-05[/C][/ROW]
[ROW][C]26[/C][C]-0.393871[/C][C]-4.0932[/C][C]4.1e-05[/C][/ROW]
[ROW][C]27[/C][C]-0.394326[/C][C]-4.098[/C][C]4e-05[/C][/ROW]
[ROW][C]28[/C][C]-0.40021[/C][C]-4.1591[/C][C]3.2e-05[/C][/ROW]
[ROW][C]29[/C][C]-0.409831[/C][C]-4.2591[/C][C]2.2e-05[/C][/ROW]
[ROW][C]30[/C][C]-0.420596[/C][C]-4.371[/C][C]1.4e-05[/C][/ROW]
[ROW][C]31[/C][C]-0.428011[/C][C]-4.448[/C][C]1.1e-05[/C][/ROW]
[ROW][C]32[/C][C]-0.421598[/C][C]-4.3814[/C][C]1.4e-05[/C][/ROW]
[ROW][C]33[/C][C]-0.40887[/C][C]-4.2491[/C][C]2.3e-05[/C][/ROW]
[ROW][C]34[/C][C]-0.39327[/C][C]-4.087[/C][C]4.2e-05[/C][/ROW]
[ROW][C]35[/C][C]-0.374938[/C][C]-3.8965[/C][C]8.5e-05[/C][/ROW]
[ROW][C]36[/C][C]-0.353956[/C][C]-3.6784[/C][C]0.000184[/C][/ROW]
[ROW][C]37[/C][C]-0.335363[/C][C]-3.4852[/C][C]0.000356[/C][/ROW]
[ROW][C]38[/C][C]-0.317231[/C][C]-3.2968[/C][C]0.000662[/C][/ROW]
[ROW][C]39[/C][C]-0.296602[/C][C]-3.0824[/C][C]0.001303[/C][/ROW]
[ROW][C]40[/C][C]-0.281515[/C][C]-2.9256[/C][C]0.002096[/C][/ROW]
[ROW][C]41[/C][C]-0.262865[/C][C]-2.7318[/C][C]0.00368[/C][/ROW]
[ROW][C]42[/C][C]-0.242998[/C][C]-2.5253[/C][C]0.006506[/C][/ROW]
[ROW][C]43[/C][C]-0.224566[/C][C]-2.3338[/C][C]0.01073[/C][/ROW]
[ROW][C]44[/C][C]-0.202061[/C][C]-2.0999[/C][C]0.019034[/C][/ROW]
[ROW][C]45[/C][C]-0.176014[/C][C]-1.8292[/C][C]0.035065[/C][/ROW]
[ROW][C]46[/C][C]-0.146438[/C][C]-1.5218[/C][C]0.065487[/C][/ROW]
[ROW][C]47[/C][C]-0.116647[/C][C]-1.2122[/C][C]0.114035[/C][/ROW]
[ROW][C]48[/C][C]-0.086031[/C][C]-0.8941[/C][C]0.186639[/C][/ROW]
[ROW][C]49[/C][C]-0.058774[/C][C]-0.6108[/C][C]0.271307[/C][/ROW]
[ROW][C]50[/C][C]-0.027732[/C][C]-0.2882[/C][C]0.386874[/C][/ROW]
[ROW][C]51[/C][C]0.005099[/C][C]0.053[/C][C]0.478919[/C][/ROW]
[ROW][C]52[/C][C]0.034502[/C][C]0.3586[/C][C]0.360313[/C][/ROW]
[ROW][C]53[/C][C]0.063764[/C][C]0.6627[/C][C]0.25448[/C][/ROW]
[ROW][C]54[/C][C]0.092985[/C][C]0.9663[/C][C]0.168019[/C][/ROW]
[ROW][C]55[/C][C]0.12414[/C][C]1.2901[/C][C]0.099885[/C][/ROW]
[ROW][C]56[/C][C]0.157085[/C][C]1.6325[/C][C]0.052745[/C][/ROW]
[ROW][C]57[/C][C]0.190591[/C][C]1.9807[/C][C]0.025085[/C][/ROW]
[ROW][C]58[/C][C]0.221863[/C][C]2.3057[/C][C]0.01152[/C][/ROW]
[ROW][C]59[/C][C]0.254878[/C][C]2.6488[/C][C]0.004645[/C][/ROW]
[ROW][C]60[/C][C]0.285105[/C][C]2.9629[/C][C]0.001875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34268&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34268&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
10.932989.69580
20.8566118.90220
30.7793198.09890
40.7103527.38220
50.6454746.7080
60.5782076.00890
70.5146675.34860
80.4574294.75373e-06
90.3967454.12313.7e-05
100.3211863.33790.000579
110.2403632.49790.007
120.1627131.6910.046864
130.0854910.88840.188138
140.0071080.07390.470627
15-0.054063-0.56180.287696
16-0.111982-1.16380.123545
17-0.166678-1.73220.043049
18-0.212412-2.20740.014699
19-0.255845-2.65880.004517
20-0.294159-3.0570.001409
21-0.314964-3.27320.000714
22-0.338467-3.51750.000319
23-0.354418-3.68320.000181
24-0.368763-3.83230.000107
25-0.384621-3.99715.9e-05
26-0.393871-4.09324.1e-05
27-0.394326-4.0984e-05
28-0.40021-4.15913.2e-05
29-0.409831-4.25912.2e-05
30-0.420596-4.3711.4e-05
31-0.428011-4.4481.1e-05
32-0.421598-4.38141.4e-05
33-0.40887-4.24912.3e-05
34-0.39327-4.0874.2e-05
35-0.374938-3.89658.5e-05
36-0.353956-3.67840.000184
37-0.335363-3.48520.000356
38-0.317231-3.29680.000662
39-0.296602-3.08240.001303
40-0.281515-2.92560.002096
41-0.262865-2.73180.00368
42-0.242998-2.52530.006506
43-0.224566-2.33380.01073
44-0.202061-2.09990.019034
45-0.176014-1.82920.035065
46-0.146438-1.52180.065487
47-0.116647-1.21220.114035
48-0.086031-0.89410.186639
49-0.058774-0.61080.271307
50-0.027732-0.28820.386874
510.0050990.0530.478919
520.0345020.35860.360313
530.0637640.66270.25448
540.0929850.96630.168019
550.124141.29010.099885
560.1570851.63250.052745
570.1905911.98070.025085
580.2218632.30570.01152
590.2548782.64880.004645
600.2851052.96290.001875







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.932989.69580
2-0.106832-1.11020.134682
3-0.043647-0.45360.325517
40.0222670.23140.408718
5-0.01698-0.17650.430133
6-0.063056-0.65530.256836
7-0.007446-0.07740.469232
80.0067370.070.472155
9-0.076269-0.79260.214872
10-0.156021-1.62140.053922
11-0.075777-0.78750.216357
12-0.033931-0.35260.36253
13-0.082275-0.8550.197214
14-0.087981-0.91430.181291
150.07320.76070.224241
16-0.062285-0.64730.259409
17-0.06531-0.67870.249384
180.0232180.24130.404893
19-0.026972-0.28030.389891
20-0.031529-0.32770.371904
210.0876560.9110.182175
22-0.066787-0.69410.244565
230.0085820.08920.464549
24-0.048449-0.50350.307819
25-0.067473-0.70120.242343
260.0048180.05010.48008
270.0102410.10640.457718
28-0.116217-1.20780.114889
29-0.068132-0.7080.240221
30-0.079132-0.82240.206341
31-0.054521-0.56660.286081
320.0529250.550.291724
33-0.011528-0.11980.45243
34-0.022358-0.23230.408354
350.017090.17760.429682
36-0.040947-0.42550.335649
37-0.032184-0.33450.369338
380.0089860.09340.462887
39-0.011058-0.11490.454362
40-0.068343-0.71020.239543
410.0137750.14320.443217
42-0.064164-0.66680.253156
43-0.048286-0.50180.308412
44-0.010032-0.10430.458579
45-0.020792-0.21610.414669
460.0297070.30870.379065
47-0.013627-0.14160.443824
48-0.029428-0.30580.380165
49-0.006062-0.0630.474941
500.0192170.19970.421043
510.0047430.04930.480391
520.0196350.20410.419347
530.0155410.16150.435997
54-0.016279-0.16920.432987
550.0319210.33170.370366
560.017270.17950.42895
570.0208390.21660.414477
580.0365430.37980.352431
590.0298050.30970.378679
60-0.012637-0.13130.447878

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.93298 & 9.6958 & 0 \tabularnewline
2 & -0.106832 & -1.1102 & 0.134682 \tabularnewline
3 & -0.043647 & -0.4536 & 0.325517 \tabularnewline
4 & 0.022267 & 0.2314 & 0.408718 \tabularnewline
5 & -0.01698 & -0.1765 & 0.430133 \tabularnewline
6 & -0.063056 & -0.6553 & 0.256836 \tabularnewline
7 & -0.007446 & -0.0774 & 0.469232 \tabularnewline
8 & 0.006737 & 0.07 & 0.472155 \tabularnewline
9 & -0.076269 & -0.7926 & 0.214872 \tabularnewline
10 & -0.156021 & -1.6214 & 0.053922 \tabularnewline
11 & -0.075777 & -0.7875 & 0.216357 \tabularnewline
12 & -0.033931 & -0.3526 & 0.36253 \tabularnewline
13 & -0.082275 & -0.855 & 0.197214 \tabularnewline
14 & -0.087981 & -0.9143 & 0.181291 \tabularnewline
15 & 0.0732 & 0.7607 & 0.224241 \tabularnewline
16 & -0.062285 & -0.6473 & 0.259409 \tabularnewline
17 & -0.06531 & -0.6787 & 0.249384 \tabularnewline
18 & 0.023218 & 0.2413 & 0.404893 \tabularnewline
19 & -0.026972 & -0.2803 & 0.389891 \tabularnewline
20 & -0.031529 & -0.3277 & 0.371904 \tabularnewline
21 & 0.087656 & 0.911 & 0.182175 \tabularnewline
22 & -0.066787 & -0.6941 & 0.244565 \tabularnewline
23 & 0.008582 & 0.0892 & 0.464549 \tabularnewline
24 & -0.048449 & -0.5035 & 0.307819 \tabularnewline
25 & -0.067473 & -0.7012 & 0.242343 \tabularnewline
26 & 0.004818 & 0.0501 & 0.48008 \tabularnewline
27 & 0.010241 & 0.1064 & 0.457718 \tabularnewline
28 & -0.116217 & -1.2078 & 0.114889 \tabularnewline
29 & -0.068132 & -0.708 & 0.240221 \tabularnewline
30 & -0.079132 & -0.8224 & 0.206341 \tabularnewline
31 & -0.054521 & -0.5666 & 0.286081 \tabularnewline
32 & 0.052925 & 0.55 & 0.291724 \tabularnewline
33 & -0.011528 & -0.1198 & 0.45243 \tabularnewline
34 & -0.022358 & -0.2323 & 0.408354 \tabularnewline
35 & 0.01709 & 0.1776 & 0.429682 \tabularnewline
36 & -0.040947 & -0.4255 & 0.335649 \tabularnewline
37 & -0.032184 & -0.3345 & 0.369338 \tabularnewline
38 & 0.008986 & 0.0934 & 0.462887 \tabularnewline
39 & -0.011058 & -0.1149 & 0.454362 \tabularnewline
40 & -0.068343 & -0.7102 & 0.239543 \tabularnewline
41 & 0.013775 & 0.1432 & 0.443217 \tabularnewline
42 & -0.064164 & -0.6668 & 0.253156 \tabularnewline
43 & -0.048286 & -0.5018 & 0.308412 \tabularnewline
44 & -0.010032 & -0.1043 & 0.458579 \tabularnewline
45 & -0.020792 & -0.2161 & 0.414669 \tabularnewline
46 & 0.029707 & 0.3087 & 0.379065 \tabularnewline
47 & -0.013627 & -0.1416 & 0.443824 \tabularnewline
48 & -0.029428 & -0.3058 & 0.380165 \tabularnewline
49 & -0.006062 & -0.063 & 0.474941 \tabularnewline
50 & 0.019217 & 0.1997 & 0.421043 \tabularnewline
51 & 0.004743 & 0.0493 & 0.480391 \tabularnewline
52 & 0.019635 & 0.2041 & 0.419347 \tabularnewline
53 & 0.015541 & 0.1615 & 0.435997 \tabularnewline
54 & -0.016279 & -0.1692 & 0.432987 \tabularnewline
55 & 0.031921 & 0.3317 & 0.370366 \tabularnewline
56 & 0.01727 & 0.1795 & 0.42895 \tabularnewline
57 & 0.020839 & 0.2166 & 0.414477 \tabularnewline
58 & 0.036543 & 0.3798 & 0.352431 \tabularnewline
59 & 0.029805 & 0.3097 & 0.378679 \tabularnewline
60 & -0.012637 & -0.1313 & 0.447878 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34268&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]0.93298[/C][C]9.6958[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.106832[/C][C]-1.1102[/C][C]0.134682[/C][/ROW]
[ROW][C]3[/C][C]-0.043647[/C][C]-0.4536[/C][C]0.325517[/C][/ROW]
[ROW][C]4[/C][C]0.022267[/C][C]0.2314[/C][C]0.408718[/C][/ROW]
[ROW][C]5[/C][C]-0.01698[/C][C]-0.1765[/C][C]0.430133[/C][/ROW]
[ROW][C]6[/C][C]-0.063056[/C][C]-0.6553[/C][C]0.256836[/C][/ROW]
[ROW][C]7[/C][C]-0.007446[/C][C]-0.0774[/C][C]0.469232[/C][/ROW]
[ROW][C]8[/C][C]0.006737[/C][C]0.07[/C][C]0.472155[/C][/ROW]
[ROW][C]9[/C][C]-0.076269[/C][C]-0.7926[/C][C]0.214872[/C][/ROW]
[ROW][C]10[/C][C]-0.156021[/C][C]-1.6214[/C][C]0.053922[/C][/ROW]
[ROW][C]11[/C][C]-0.075777[/C][C]-0.7875[/C][C]0.216357[/C][/ROW]
[ROW][C]12[/C][C]-0.033931[/C][C]-0.3526[/C][C]0.36253[/C][/ROW]
[ROW][C]13[/C][C]-0.082275[/C][C]-0.855[/C][C]0.197214[/C][/ROW]
[ROW][C]14[/C][C]-0.087981[/C][C]-0.9143[/C][C]0.181291[/C][/ROW]
[ROW][C]15[/C][C]0.0732[/C][C]0.7607[/C][C]0.224241[/C][/ROW]
[ROW][C]16[/C][C]-0.062285[/C][C]-0.6473[/C][C]0.259409[/C][/ROW]
[ROW][C]17[/C][C]-0.06531[/C][C]-0.6787[/C][C]0.249384[/C][/ROW]
[ROW][C]18[/C][C]0.023218[/C][C]0.2413[/C][C]0.404893[/C][/ROW]
[ROW][C]19[/C][C]-0.026972[/C][C]-0.2803[/C][C]0.389891[/C][/ROW]
[ROW][C]20[/C][C]-0.031529[/C][C]-0.3277[/C][C]0.371904[/C][/ROW]
[ROW][C]21[/C][C]0.087656[/C][C]0.911[/C][C]0.182175[/C][/ROW]
[ROW][C]22[/C][C]-0.066787[/C][C]-0.6941[/C][C]0.244565[/C][/ROW]
[ROW][C]23[/C][C]0.008582[/C][C]0.0892[/C][C]0.464549[/C][/ROW]
[ROW][C]24[/C][C]-0.048449[/C][C]-0.5035[/C][C]0.307819[/C][/ROW]
[ROW][C]25[/C][C]-0.067473[/C][C]-0.7012[/C][C]0.242343[/C][/ROW]
[ROW][C]26[/C][C]0.004818[/C][C]0.0501[/C][C]0.48008[/C][/ROW]
[ROW][C]27[/C][C]0.010241[/C][C]0.1064[/C][C]0.457718[/C][/ROW]
[ROW][C]28[/C][C]-0.116217[/C][C]-1.2078[/C][C]0.114889[/C][/ROW]
[ROW][C]29[/C][C]-0.068132[/C][C]-0.708[/C][C]0.240221[/C][/ROW]
[ROW][C]30[/C][C]-0.079132[/C][C]-0.8224[/C][C]0.206341[/C][/ROW]
[ROW][C]31[/C][C]-0.054521[/C][C]-0.5666[/C][C]0.286081[/C][/ROW]
[ROW][C]32[/C][C]0.052925[/C][C]0.55[/C][C]0.291724[/C][/ROW]
[ROW][C]33[/C][C]-0.011528[/C][C]-0.1198[/C][C]0.45243[/C][/ROW]
[ROW][C]34[/C][C]-0.022358[/C][C]-0.2323[/C][C]0.408354[/C][/ROW]
[ROW][C]35[/C][C]0.01709[/C][C]0.1776[/C][C]0.429682[/C][/ROW]
[ROW][C]36[/C][C]-0.040947[/C][C]-0.4255[/C][C]0.335649[/C][/ROW]
[ROW][C]37[/C][C]-0.032184[/C][C]-0.3345[/C][C]0.369338[/C][/ROW]
[ROW][C]38[/C][C]0.008986[/C][C]0.0934[/C][C]0.462887[/C][/ROW]
[ROW][C]39[/C][C]-0.011058[/C][C]-0.1149[/C][C]0.454362[/C][/ROW]
[ROW][C]40[/C][C]-0.068343[/C][C]-0.7102[/C][C]0.239543[/C][/ROW]
[ROW][C]41[/C][C]0.013775[/C][C]0.1432[/C][C]0.443217[/C][/ROW]
[ROW][C]42[/C][C]-0.064164[/C][C]-0.6668[/C][C]0.253156[/C][/ROW]
[ROW][C]43[/C][C]-0.048286[/C][C]-0.5018[/C][C]0.308412[/C][/ROW]
[ROW][C]44[/C][C]-0.010032[/C][C]-0.1043[/C][C]0.458579[/C][/ROW]
[ROW][C]45[/C][C]-0.020792[/C][C]-0.2161[/C][C]0.414669[/C][/ROW]
[ROW][C]46[/C][C]0.029707[/C][C]0.3087[/C][C]0.379065[/C][/ROW]
[ROW][C]47[/C][C]-0.013627[/C][C]-0.1416[/C][C]0.443824[/C][/ROW]
[ROW][C]48[/C][C]-0.029428[/C][C]-0.3058[/C][C]0.380165[/C][/ROW]
[ROW][C]49[/C][C]-0.006062[/C][C]-0.063[/C][C]0.474941[/C][/ROW]
[ROW][C]50[/C][C]0.019217[/C][C]0.1997[/C][C]0.421043[/C][/ROW]
[ROW][C]51[/C][C]0.004743[/C][C]0.0493[/C][C]0.480391[/C][/ROW]
[ROW][C]52[/C][C]0.019635[/C][C]0.2041[/C][C]0.419347[/C][/ROW]
[ROW][C]53[/C][C]0.015541[/C][C]0.1615[/C][C]0.435997[/C][/ROW]
[ROW][C]54[/C][C]-0.016279[/C][C]-0.1692[/C][C]0.432987[/C][/ROW]
[ROW][C]55[/C][C]0.031921[/C][C]0.3317[/C][C]0.370366[/C][/ROW]
[ROW][C]56[/C][C]0.01727[/C][C]0.1795[/C][C]0.42895[/C][/ROW]
[ROW][C]57[/C][C]0.020839[/C][C]0.2166[/C][C]0.414477[/C][/ROW]
[ROW][C]58[/C][C]0.036543[/C][C]0.3798[/C][C]0.352431[/C][/ROW]
[ROW][C]59[/C][C]0.029805[/C][C]0.3097[/C][C]0.378679[/C][/ROW]
[ROW][C]60[/C][C]-0.012637[/C][C]-0.1313[/C][C]0.447878[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34268&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34268&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
10.932989.69580
2-0.106832-1.11020.134682
3-0.043647-0.45360.325517
40.0222670.23140.408718
5-0.01698-0.17650.430133
6-0.063056-0.65530.256836
7-0.007446-0.07740.469232
80.0067370.070.472155
9-0.076269-0.79260.214872
10-0.156021-1.62140.053922
11-0.075777-0.78750.216357
12-0.033931-0.35260.36253
13-0.082275-0.8550.197214
14-0.087981-0.91430.181291
150.07320.76070.224241
16-0.062285-0.64730.259409
17-0.06531-0.67870.249384
180.0232180.24130.404893
19-0.026972-0.28030.389891
20-0.031529-0.32770.371904
210.0876560.9110.182175
22-0.066787-0.69410.244565
230.0085820.08920.464549
24-0.048449-0.50350.307819
25-0.067473-0.70120.242343
260.0048180.05010.48008
270.0102410.10640.457718
28-0.116217-1.20780.114889
29-0.068132-0.7080.240221
30-0.079132-0.82240.206341
31-0.054521-0.56660.286081
320.0529250.550.291724
33-0.011528-0.11980.45243
34-0.022358-0.23230.408354
350.017090.17760.429682
36-0.040947-0.42550.335649
37-0.032184-0.33450.369338
380.0089860.09340.462887
39-0.011058-0.11490.454362
40-0.068343-0.71020.239543
410.0137750.14320.443217
42-0.064164-0.66680.253156
43-0.048286-0.50180.308412
44-0.010032-0.10430.458579
45-0.020792-0.21610.414669
460.0297070.30870.379065
47-0.013627-0.14160.443824
48-0.029428-0.30580.380165
49-0.006062-0.0630.474941
500.0192170.19970.421043
510.0047430.04930.480391
520.0196350.20410.419347
530.0155410.16150.435997
54-0.016279-0.16920.432987
550.0319210.33170.370366
560.017270.17950.42895
570.0208390.21660.414477
580.0365430.37980.352431
590.0298050.30970.378679
60-0.012637-0.13130.447878



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 60 ; 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 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')