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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 computationMon, 15 Dec 2008 15:21:20 -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/15/t1229379806spz8tww44sf5uh1.htm/, Retrieved Wed, 15 May 2024 09:16:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33835, Retrieved Wed, 15 May 2024 09:16:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
F RMPD  [(Partial) Autocorrelation Function] [ACF] [2008-12-08 22:50:25] [8d78428855b119373cac369316c08983]
-   P       [(Partial) Autocorrelation Function] [verbetering] [2008-12-15 22:21:20] [d6e9f26c3644bfc30f06303d9993b878] [Current]
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Dataseries X:
11703.7
16283.6
16726.5
14968.9
14861.0
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872.0
17420.4
16704.4
15991.2
16583.6
19123.5
17838.7
17209.4
18586.5
16258.1
15141.6
19202.1
17746.5
19090.1
18040.3
17515.5
17751.8
21072.4
17170.0
19439.5
19795.4
17574.9
16165.4
19464.6
19932.1
19961.2
17343.4
18924.2
18574.1
21350.6
18594.6
19823.1
20844.4
19640.2
17735.4
19813.6
22160.0
20664.3
17877.4
21211.2
21423.1
21688.7
23243.2
21490.2
22925.8
23184.8
18562.2




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=33835&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=33835&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33835&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
10.5767894.50491.5e-05
20.4529233.53740.000389
30.5430694.24153.8e-05
40.5045183.94040.000106
50.4247123.31710.000768
60.4494273.51010.000424
70.293712.29390.012626
80.3790822.96070.002184
90.3140342.45270.008527
100.1655441.29290.100454
110.2439361.90520.030735
120.4451993.47710.00047
130.1931111.50820.068327
140.1030160.80460.212094
150.13471.0520.148466
160.1645691.28530.101768
170.1130040.88260.190462
180.1209520.94470.174278
190.0372410.29090.386072
200.0939050.73340.233056
210.0221750.17320.431537
22-0.05922-0.46250.322675
230.0197110.1540.439078
240.1045370.81650.208708
25-0.027015-0.2110.416798
26-0.081402-0.63580.263651
27-0.100924-0.78820.216803
28-0.037683-0.29430.384759
29-0.104297-0.81460.209239
30-0.120141-0.93830.175888
31-0.135984-1.06210.146195
32-0.107212-0.83730.202832
33-0.195284-1.52520.066187
34-0.213614-1.66840.050184
35-0.179015-1.39820.083565
36-0.094823-0.74060.230892
37-0.176958-1.38210.085993
38-0.254158-1.9850.025821
39-0.216203-1.68860.048201
40-0.157572-1.23070.111584
41-0.253784-1.98210.025988
42-0.252458-1.97180.026588
43-0.243022-1.89810.031211
44-0.223792-1.74790.042759
45-0.257499-2.01110.024368
46-0.274009-2.14010.018178
47-0.275154-2.1490.017805
48-0.194855-1.52190.066605
49-0.221286-1.72830.044497
50-0.296293-2.31410.012022
51-0.23685-1.84990.03459
52-0.187734-1.46620.073859
53-0.26271-2.05180.022243
54-0.235124-1.83640.035588
55-0.205505-1.6050.056825
56-0.184999-1.44490.076803
57-0.113486-0.88640.189454
58-0.118857-0.92830.178455
59-0.095609-0.74670.229047
60-0.005332-0.04160.483459

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.576789 & 4.5049 & 1.5e-05 \tabularnewline
2 & 0.452923 & 3.5374 & 0.000389 \tabularnewline
3 & 0.543069 & 4.2415 & 3.8e-05 \tabularnewline
4 & 0.504518 & 3.9404 & 0.000106 \tabularnewline
5 & 0.424712 & 3.3171 & 0.000768 \tabularnewline
6 & 0.449427 & 3.5101 & 0.000424 \tabularnewline
7 & 0.29371 & 2.2939 & 0.012626 \tabularnewline
8 & 0.379082 & 2.9607 & 0.002184 \tabularnewline
9 & 0.314034 & 2.4527 & 0.008527 \tabularnewline
10 & 0.165544 & 1.2929 & 0.100454 \tabularnewline
11 & 0.243936 & 1.9052 & 0.030735 \tabularnewline
12 & 0.445199 & 3.4771 & 0.00047 \tabularnewline
13 & 0.193111 & 1.5082 & 0.068327 \tabularnewline
14 & 0.103016 & 0.8046 & 0.212094 \tabularnewline
15 & 0.1347 & 1.052 & 0.148466 \tabularnewline
16 & 0.164569 & 1.2853 & 0.101768 \tabularnewline
17 & 0.113004 & 0.8826 & 0.190462 \tabularnewline
18 & 0.120952 & 0.9447 & 0.174278 \tabularnewline
19 & 0.037241 & 0.2909 & 0.386072 \tabularnewline
20 & 0.093905 & 0.7334 & 0.233056 \tabularnewline
21 & 0.022175 & 0.1732 & 0.431537 \tabularnewline
22 & -0.05922 & -0.4625 & 0.322675 \tabularnewline
23 & 0.019711 & 0.154 & 0.439078 \tabularnewline
24 & 0.104537 & 0.8165 & 0.208708 \tabularnewline
25 & -0.027015 & -0.211 & 0.416798 \tabularnewline
26 & -0.081402 & -0.6358 & 0.263651 \tabularnewline
27 & -0.100924 & -0.7882 & 0.216803 \tabularnewline
28 & -0.037683 & -0.2943 & 0.384759 \tabularnewline
29 & -0.104297 & -0.8146 & 0.209239 \tabularnewline
30 & -0.120141 & -0.9383 & 0.175888 \tabularnewline
31 & -0.135984 & -1.0621 & 0.146195 \tabularnewline
32 & -0.107212 & -0.8373 & 0.202832 \tabularnewline
33 & -0.195284 & -1.5252 & 0.066187 \tabularnewline
34 & -0.213614 & -1.6684 & 0.050184 \tabularnewline
35 & -0.179015 & -1.3982 & 0.083565 \tabularnewline
36 & -0.094823 & -0.7406 & 0.230892 \tabularnewline
37 & -0.176958 & -1.3821 & 0.085993 \tabularnewline
38 & -0.254158 & -1.985 & 0.025821 \tabularnewline
39 & -0.216203 & -1.6886 & 0.048201 \tabularnewline
40 & -0.157572 & -1.2307 & 0.111584 \tabularnewline
41 & -0.253784 & -1.9821 & 0.025988 \tabularnewline
42 & -0.252458 & -1.9718 & 0.026588 \tabularnewline
43 & -0.243022 & -1.8981 & 0.031211 \tabularnewline
44 & -0.223792 & -1.7479 & 0.042759 \tabularnewline
45 & -0.257499 & -2.0111 & 0.024368 \tabularnewline
46 & -0.274009 & -2.1401 & 0.018178 \tabularnewline
47 & -0.275154 & -2.149 & 0.017805 \tabularnewline
48 & -0.194855 & -1.5219 & 0.066605 \tabularnewline
49 & -0.221286 & -1.7283 & 0.044497 \tabularnewline
50 & -0.296293 & -2.3141 & 0.012022 \tabularnewline
51 & -0.23685 & -1.8499 & 0.03459 \tabularnewline
52 & -0.187734 & -1.4662 & 0.073859 \tabularnewline
53 & -0.26271 & -2.0518 & 0.022243 \tabularnewline
54 & -0.235124 & -1.8364 & 0.035588 \tabularnewline
55 & -0.205505 & -1.605 & 0.056825 \tabularnewline
56 & -0.184999 & -1.4449 & 0.076803 \tabularnewline
57 & -0.113486 & -0.8864 & 0.189454 \tabularnewline
58 & -0.118857 & -0.9283 & 0.178455 \tabularnewline
59 & -0.095609 & -0.7467 & 0.229047 \tabularnewline
60 & -0.005332 & -0.0416 & 0.483459 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33835&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]0.576789[/C][C]4.5049[/C][C]1.5e-05[/C][/ROW]
[ROW][C]2[/C][C]0.452923[/C][C]3.5374[/C][C]0.000389[/C][/ROW]
[ROW][C]3[/C][C]0.543069[/C][C]4.2415[/C][C]3.8e-05[/C][/ROW]
[ROW][C]4[/C][C]0.504518[/C][C]3.9404[/C][C]0.000106[/C][/ROW]
[ROW][C]5[/C][C]0.424712[/C][C]3.3171[/C][C]0.000768[/C][/ROW]
[ROW][C]6[/C][C]0.449427[/C][C]3.5101[/C][C]0.000424[/C][/ROW]
[ROW][C]7[/C][C]0.29371[/C][C]2.2939[/C][C]0.012626[/C][/ROW]
[ROW][C]8[/C][C]0.379082[/C][C]2.9607[/C][C]0.002184[/C][/ROW]
[ROW][C]9[/C][C]0.314034[/C][C]2.4527[/C][C]0.008527[/C][/ROW]
[ROW][C]10[/C][C]0.165544[/C][C]1.2929[/C][C]0.100454[/C][/ROW]
[ROW][C]11[/C][C]0.243936[/C][C]1.9052[/C][C]0.030735[/C][/ROW]
[ROW][C]12[/C][C]0.445199[/C][C]3.4771[/C][C]0.00047[/C][/ROW]
[ROW][C]13[/C][C]0.193111[/C][C]1.5082[/C][C]0.068327[/C][/ROW]
[ROW][C]14[/C][C]0.103016[/C][C]0.8046[/C][C]0.212094[/C][/ROW]
[ROW][C]15[/C][C]0.1347[/C][C]1.052[/C][C]0.148466[/C][/ROW]
[ROW][C]16[/C][C]0.164569[/C][C]1.2853[/C][C]0.101768[/C][/ROW]
[ROW][C]17[/C][C]0.113004[/C][C]0.8826[/C][C]0.190462[/C][/ROW]
[ROW][C]18[/C][C]0.120952[/C][C]0.9447[/C][C]0.174278[/C][/ROW]
[ROW][C]19[/C][C]0.037241[/C][C]0.2909[/C][C]0.386072[/C][/ROW]
[ROW][C]20[/C][C]0.093905[/C][C]0.7334[/C][C]0.233056[/C][/ROW]
[ROW][C]21[/C][C]0.022175[/C][C]0.1732[/C][C]0.431537[/C][/ROW]
[ROW][C]22[/C][C]-0.05922[/C][C]-0.4625[/C][C]0.322675[/C][/ROW]
[ROW][C]23[/C][C]0.019711[/C][C]0.154[/C][C]0.439078[/C][/ROW]
[ROW][C]24[/C][C]0.104537[/C][C]0.8165[/C][C]0.208708[/C][/ROW]
[ROW][C]25[/C][C]-0.027015[/C][C]-0.211[/C][C]0.416798[/C][/ROW]
[ROW][C]26[/C][C]-0.081402[/C][C]-0.6358[/C][C]0.263651[/C][/ROW]
[ROW][C]27[/C][C]-0.100924[/C][C]-0.7882[/C][C]0.216803[/C][/ROW]
[ROW][C]28[/C][C]-0.037683[/C][C]-0.2943[/C][C]0.384759[/C][/ROW]
[ROW][C]29[/C][C]-0.104297[/C][C]-0.8146[/C][C]0.209239[/C][/ROW]
[ROW][C]30[/C][C]-0.120141[/C][C]-0.9383[/C][C]0.175888[/C][/ROW]
[ROW][C]31[/C][C]-0.135984[/C][C]-1.0621[/C][C]0.146195[/C][/ROW]
[ROW][C]32[/C][C]-0.107212[/C][C]-0.8373[/C][C]0.202832[/C][/ROW]
[ROW][C]33[/C][C]-0.195284[/C][C]-1.5252[/C][C]0.066187[/C][/ROW]
[ROW][C]34[/C][C]-0.213614[/C][C]-1.6684[/C][C]0.050184[/C][/ROW]
[ROW][C]35[/C][C]-0.179015[/C][C]-1.3982[/C][C]0.083565[/C][/ROW]
[ROW][C]36[/C][C]-0.094823[/C][C]-0.7406[/C][C]0.230892[/C][/ROW]
[ROW][C]37[/C][C]-0.176958[/C][C]-1.3821[/C][C]0.085993[/C][/ROW]
[ROW][C]38[/C][C]-0.254158[/C][C]-1.985[/C][C]0.025821[/C][/ROW]
[ROW][C]39[/C][C]-0.216203[/C][C]-1.6886[/C][C]0.048201[/C][/ROW]
[ROW][C]40[/C][C]-0.157572[/C][C]-1.2307[/C][C]0.111584[/C][/ROW]
[ROW][C]41[/C][C]-0.253784[/C][C]-1.9821[/C][C]0.025988[/C][/ROW]
[ROW][C]42[/C][C]-0.252458[/C][C]-1.9718[/C][C]0.026588[/C][/ROW]
[ROW][C]43[/C][C]-0.243022[/C][C]-1.8981[/C][C]0.031211[/C][/ROW]
[ROW][C]44[/C][C]-0.223792[/C][C]-1.7479[/C][C]0.042759[/C][/ROW]
[ROW][C]45[/C][C]-0.257499[/C][C]-2.0111[/C][C]0.024368[/C][/ROW]
[ROW][C]46[/C][C]-0.274009[/C][C]-2.1401[/C][C]0.018178[/C][/ROW]
[ROW][C]47[/C][C]-0.275154[/C][C]-2.149[/C][C]0.017805[/C][/ROW]
[ROW][C]48[/C][C]-0.194855[/C][C]-1.5219[/C][C]0.066605[/C][/ROW]
[ROW][C]49[/C][C]-0.221286[/C][C]-1.7283[/C][C]0.044497[/C][/ROW]
[ROW][C]50[/C][C]-0.296293[/C][C]-2.3141[/C][C]0.012022[/C][/ROW]
[ROW][C]51[/C][C]-0.23685[/C][C]-1.8499[/C][C]0.03459[/C][/ROW]
[ROW][C]52[/C][C]-0.187734[/C][C]-1.4662[/C][C]0.073859[/C][/ROW]
[ROW][C]53[/C][C]-0.26271[/C][C]-2.0518[/C][C]0.022243[/C][/ROW]
[ROW][C]54[/C][C]-0.235124[/C][C]-1.8364[/C][C]0.035588[/C][/ROW]
[ROW][C]55[/C][C]-0.205505[/C][C]-1.605[/C][C]0.056825[/C][/ROW]
[ROW][C]56[/C][C]-0.184999[/C][C]-1.4449[/C][C]0.076803[/C][/ROW]
[ROW][C]57[/C][C]-0.113486[/C][C]-0.8864[/C][C]0.189454[/C][/ROW]
[ROW][C]58[/C][C]-0.118857[/C][C]-0.9283[/C][C]0.178455[/C][/ROW]
[ROW][C]59[/C][C]-0.095609[/C][C]-0.7467[/C][C]0.229047[/C][/ROW]
[ROW][C]60[/C][C]-0.005332[/C][C]-0.0416[/C][C]0.483459[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33835&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33835&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
10.5767894.50491.5e-05
20.4529233.53740.000389
30.5430694.24153.8e-05
40.5045183.94040.000106
50.4247123.31710.000768
60.4494273.51010.000424
70.293712.29390.012626
80.3790822.96070.002184
90.3140342.45270.008527
100.1655441.29290.100454
110.2439361.90520.030735
120.4451993.47710.00047
130.1931111.50820.068327
140.1030160.80460.212094
150.13471.0520.148466
160.1645691.28530.101768
170.1130040.88260.190462
180.1209520.94470.174278
190.0372410.29090.386072
200.0939050.73340.233056
210.0221750.17320.431537
22-0.05922-0.46250.322675
230.0197110.1540.439078
240.1045370.81650.208708
25-0.027015-0.2110.416798
26-0.081402-0.63580.263651
27-0.100924-0.78820.216803
28-0.037683-0.29430.384759
29-0.104297-0.81460.209239
30-0.120141-0.93830.175888
31-0.135984-1.06210.146195
32-0.107212-0.83730.202832
33-0.195284-1.52520.066187
34-0.213614-1.66840.050184
35-0.179015-1.39820.083565
36-0.094823-0.74060.230892
37-0.176958-1.38210.085993
38-0.254158-1.9850.025821
39-0.216203-1.68860.048201
40-0.157572-1.23070.111584
41-0.253784-1.98210.025988
42-0.252458-1.97180.026588
43-0.243022-1.89810.031211
44-0.223792-1.74790.042759
45-0.257499-2.01110.024368
46-0.274009-2.14010.018178
47-0.275154-2.1490.017805
48-0.194855-1.52190.066605
49-0.221286-1.72830.044497
50-0.296293-2.31410.012022
51-0.23685-1.84990.03459
52-0.187734-1.46620.073859
53-0.26271-2.05180.022243
54-0.235124-1.83640.035588
55-0.205505-1.6050.056825
56-0.184999-1.44490.076803
57-0.113486-0.88640.189454
58-0.118857-0.92830.178455
59-0.095609-0.74670.229047
60-0.005332-0.04160.483459







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5767894.50491.5e-05
20.1801811.40730.082213
30.3484432.72140.00423
40.1301981.01690.156614
50.0442820.34590.365321
60.1072640.83780.202719
7-0.217128-1.69580.047509
80.1995371.55840.062152
9-0.149358-1.16650.123972
10-0.128289-1.0020.160158
110.1282951.0020.160147
120.3508362.74010.004022
13-0.220308-1.72070.045191
14-0.185603-1.44960.076145
15-0.081376-0.63560.263719
160.0729580.56980.285447
17-0.058324-0.45550.325176
180.0624220.48750.313814
190.04660.3640.358574
20-0.062191-0.48570.314451
21-0.097847-0.76420.223844
220.0093720.07320.470943
230.0930410.72670.235102
24-0.111621-0.87180.193372
250.024960.19490.423041
26-0.003117-0.02430.490328
27-0.088835-0.69380.245213
28-0.006435-0.05030.480039
29-0.113439-0.8860.189551
300.0269360.21040.417039
31-0.04103-0.32050.374859
320.0258360.20180.420378
33-0.037094-0.28970.386509
34-0.027124-0.21180.416467
35-0.036216-0.28290.389121
360.0586770.45830.32419
37-0.035956-0.28080.389898
38-0.102425-0.80.213418
390.0806750.63010.265494
40-0.03861-0.30160.382008
41-0.113696-0.8880.189016
42-0.053418-0.41720.338997
430.0137290.10720.457481
44-0.025068-0.19580.422713
450.0346910.27090.393673
460.0305070.23830.406236
47-0.059521-0.46490.321838
48-0.12209-0.95350.172037
490.0766070.59830.275922
500.0019870.01550.493833
51-0.038957-0.30430.38098
52-0.02507-0.19580.422709
530.0171220.13370.44703
54-0.00051-0.0040.498418
55-0.039246-0.30650.380124
560.0721850.56380.287485
570.1830411.42960.078967
580.0006430.0050.498004
590.1070510.83610.203182
600.0128980.10070.460044

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.576789 & 4.5049 & 1.5e-05 \tabularnewline
2 & 0.180181 & 1.4073 & 0.082213 \tabularnewline
3 & 0.348443 & 2.7214 & 0.00423 \tabularnewline
4 & 0.130198 & 1.0169 & 0.156614 \tabularnewline
5 & 0.044282 & 0.3459 & 0.365321 \tabularnewline
6 & 0.107264 & 0.8378 & 0.202719 \tabularnewline
7 & -0.217128 & -1.6958 & 0.047509 \tabularnewline
8 & 0.199537 & 1.5584 & 0.062152 \tabularnewline
9 & -0.149358 & -1.1665 & 0.123972 \tabularnewline
10 & -0.128289 & -1.002 & 0.160158 \tabularnewline
11 & 0.128295 & 1.002 & 0.160147 \tabularnewline
12 & 0.350836 & 2.7401 & 0.004022 \tabularnewline
13 & -0.220308 & -1.7207 & 0.045191 \tabularnewline
14 & -0.185603 & -1.4496 & 0.076145 \tabularnewline
15 & -0.081376 & -0.6356 & 0.263719 \tabularnewline
16 & 0.072958 & 0.5698 & 0.285447 \tabularnewline
17 & -0.058324 & -0.4555 & 0.325176 \tabularnewline
18 & 0.062422 & 0.4875 & 0.313814 \tabularnewline
19 & 0.0466 & 0.364 & 0.358574 \tabularnewline
20 & -0.062191 & -0.4857 & 0.314451 \tabularnewline
21 & -0.097847 & -0.7642 & 0.223844 \tabularnewline
22 & 0.009372 & 0.0732 & 0.470943 \tabularnewline
23 & 0.093041 & 0.7267 & 0.235102 \tabularnewline
24 & -0.111621 & -0.8718 & 0.193372 \tabularnewline
25 & 0.02496 & 0.1949 & 0.423041 \tabularnewline
26 & -0.003117 & -0.0243 & 0.490328 \tabularnewline
27 & -0.088835 & -0.6938 & 0.245213 \tabularnewline
28 & -0.006435 & -0.0503 & 0.480039 \tabularnewline
29 & -0.113439 & -0.886 & 0.189551 \tabularnewline
30 & 0.026936 & 0.2104 & 0.417039 \tabularnewline
31 & -0.04103 & -0.3205 & 0.374859 \tabularnewline
32 & 0.025836 & 0.2018 & 0.420378 \tabularnewline
33 & -0.037094 & -0.2897 & 0.386509 \tabularnewline
34 & -0.027124 & -0.2118 & 0.416467 \tabularnewline
35 & -0.036216 & -0.2829 & 0.389121 \tabularnewline
36 & 0.058677 & 0.4583 & 0.32419 \tabularnewline
37 & -0.035956 & -0.2808 & 0.389898 \tabularnewline
38 & -0.102425 & -0.8 & 0.213418 \tabularnewline
39 & 0.080675 & 0.6301 & 0.265494 \tabularnewline
40 & -0.03861 & -0.3016 & 0.382008 \tabularnewline
41 & -0.113696 & -0.888 & 0.189016 \tabularnewline
42 & -0.053418 & -0.4172 & 0.338997 \tabularnewline
43 & 0.013729 & 0.1072 & 0.457481 \tabularnewline
44 & -0.025068 & -0.1958 & 0.422713 \tabularnewline
45 & 0.034691 & 0.2709 & 0.393673 \tabularnewline
46 & 0.030507 & 0.2383 & 0.406236 \tabularnewline
47 & -0.059521 & -0.4649 & 0.321838 \tabularnewline
48 & -0.12209 & -0.9535 & 0.172037 \tabularnewline
49 & 0.076607 & 0.5983 & 0.275922 \tabularnewline
50 & 0.001987 & 0.0155 & 0.493833 \tabularnewline
51 & -0.038957 & -0.3043 & 0.38098 \tabularnewline
52 & -0.02507 & -0.1958 & 0.422709 \tabularnewline
53 & 0.017122 & 0.1337 & 0.44703 \tabularnewline
54 & -0.00051 & -0.004 & 0.498418 \tabularnewline
55 & -0.039246 & -0.3065 & 0.380124 \tabularnewline
56 & 0.072185 & 0.5638 & 0.287485 \tabularnewline
57 & 0.183041 & 1.4296 & 0.078967 \tabularnewline
58 & 0.000643 & 0.005 & 0.498004 \tabularnewline
59 & 0.107051 & 0.8361 & 0.203182 \tabularnewline
60 & 0.012898 & 0.1007 & 0.460044 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33835&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]0.576789[/C][C]4.5049[/C][C]1.5e-05[/C][/ROW]
[ROW][C]2[/C][C]0.180181[/C][C]1.4073[/C][C]0.082213[/C][/ROW]
[ROW][C]3[/C][C]0.348443[/C][C]2.7214[/C][C]0.00423[/C][/ROW]
[ROW][C]4[/C][C]0.130198[/C][C]1.0169[/C][C]0.156614[/C][/ROW]
[ROW][C]5[/C][C]0.044282[/C][C]0.3459[/C][C]0.365321[/C][/ROW]
[ROW][C]6[/C][C]0.107264[/C][C]0.8378[/C][C]0.202719[/C][/ROW]
[ROW][C]7[/C][C]-0.217128[/C][C]-1.6958[/C][C]0.047509[/C][/ROW]
[ROW][C]8[/C][C]0.199537[/C][C]1.5584[/C][C]0.062152[/C][/ROW]
[ROW][C]9[/C][C]-0.149358[/C][C]-1.1665[/C][C]0.123972[/C][/ROW]
[ROW][C]10[/C][C]-0.128289[/C][C]-1.002[/C][C]0.160158[/C][/ROW]
[ROW][C]11[/C][C]0.128295[/C][C]1.002[/C][C]0.160147[/C][/ROW]
[ROW][C]12[/C][C]0.350836[/C][C]2.7401[/C][C]0.004022[/C][/ROW]
[ROW][C]13[/C][C]-0.220308[/C][C]-1.7207[/C][C]0.045191[/C][/ROW]
[ROW][C]14[/C][C]-0.185603[/C][C]-1.4496[/C][C]0.076145[/C][/ROW]
[ROW][C]15[/C][C]-0.081376[/C][C]-0.6356[/C][C]0.263719[/C][/ROW]
[ROW][C]16[/C][C]0.072958[/C][C]0.5698[/C][C]0.285447[/C][/ROW]
[ROW][C]17[/C][C]-0.058324[/C][C]-0.4555[/C][C]0.325176[/C][/ROW]
[ROW][C]18[/C][C]0.062422[/C][C]0.4875[/C][C]0.313814[/C][/ROW]
[ROW][C]19[/C][C]0.0466[/C][C]0.364[/C][C]0.358574[/C][/ROW]
[ROW][C]20[/C][C]-0.062191[/C][C]-0.4857[/C][C]0.314451[/C][/ROW]
[ROW][C]21[/C][C]-0.097847[/C][C]-0.7642[/C][C]0.223844[/C][/ROW]
[ROW][C]22[/C][C]0.009372[/C][C]0.0732[/C][C]0.470943[/C][/ROW]
[ROW][C]23[/C][C]0.093041[/C][C]0.7267[/C][C]0.235102[/C][/ROW]
[ROW][C]24[/C][C]-0.111621[/C][C]-0.8718[/C][C]0.193372[/C][/ROW]
[ROW][C]25[/C][C]0.02496[/C][C]0.1949[/C][C]0.423041[/C][/ROW]
[ROW][C]26[/C][C]-0.003117[/C][C]-0.0243[/C][C]0.490328[/C][/ROW]
[ROW][C]27[/C][C]-0.088835[/C][C]-0.6938[/C][C]0.245213[/C][/ROW]
[ROW][C]28[/C][C]-0.006435[/C][C]-0.0503[/C][C]0.480039[/C][/ROW]
[ROW][C]29[/C][C]-0.113439[/C][C]-0.886[/C][C]0.189551[/C][/ROW]
[ROW][C]30[/C][C]0.026936[/C][C]0.2104[/C][C]0.417039[/C][/ROW]
[ROW][C]31[/C][C]-0.04103[/C][C]-0.3205[/C][C]0.374859[/C][/ROW]
[ROW][C]32[/C][C]0.025836[/C][C]0.2018[/C][C]0.420378[/C][/ROW]
[ROW][C]33[/C][C]-0.037094[/C][C]-0.2897[/C][C]0.386509[/C][/ROW]
[ROW][C]34[/C][C]-0.027124[/C][C]-0.2118[/C][C]0.416467[/C][/ROW]
[ROW][C]35[/C][C]-0.036216[/C][C]-0.2829[/C][C]0.389121[/C][/ROW]
[ROW][C]36[/C][C]0.058677[/C][C]0.4583[/C][C]0.32419[/C][/ROW]
[ROW][C]37[/C][C]-0.035956[/C][C]-0.2808[/C][C]0.389898[/C][/ROW]
[ROW][C]38[/C][C]-0.102425[/C][C]-0.8[/C][C]0.213418[/C][/ROW]
[ROW][C]39[/C][C]0.080675[/C][C]0.6301[/C][C]0.265494[/C][/ROW]
[ROW][C]40[/C][C]-0.03861[/C][C]-0.3016[/C][C]0.382008[/C][/ROW]
[ROW][C]41[/C][C]-0.113696[/C][C]-0.888[/C][C]0.189016[/C][/ROW]
[ROW][C]42[/C][C]-0.053418[/C][C]-0.4172[/C][C]0.338997[/C][/ROW]
[ROW][C]43[/C][C]0.013729[/C][C]0.1072[/C][C]0.457481[/C][/ROW]
[ROW][C]44[/C][C]-0.025068[/C][C]-0.1958[/C][C]0.422713[/C][/ROW]
[ROW][C]45[/C][C]0.034691[/C][C]0.2709[/C][C]0.393673[/C][/ROW]
[ROW][C]46[/C][C]0.030507[/C][C]0.2383[/C][C]0.406236[/C][/ROW]
[ROW][C]47[/C][C]-0.059521[/C][C]-0.4649[/C][C]0.321838[/C][/ROW]
[ROW][C]48[/C][C]-0.12209[/C][C]-0.9535[/C][C]0.172037[/C][/ROW]
[ROW][C]49[/C][C]0.076607[/C][C]0.5983[/C][C]0.275922[/C][/ROW]
[ROW][C]50[/C][C]0.001987[/C][C]0.0155[/C][C]0.493833[/C][/ROW]
[ROW][C]51[/C][C]-0.038957[/C][C]-0.3043[/C][C]0.38098[/C][/ROW]
[ROW][C]52[/C][C]-0.02507[/C][C]-0.1958[/C][C]0.422709[/C][/ROW]
[ROW][C]53[/C][C]0.017122[/C][C]0.1337[/C][C]0.44703[/C][/ROW]
[ROW][C]54[/C][C]-0.00051[/C][C]-0.004[/C][C]0.498418[/C][/ROW]
[ROW][C]55[/C][C]-0.039246[/C][C]-0.3065[/C][C]0.380124[/C][/ROW]
[ROW][C]56[/C][C]0.072185[/C][C]0.5638[/C][C]0.287485[/C][/ROW]
[ROW][C]57[/C][C]0.183041[/C][C]1.4296[/C][C]0.078967[/C][/ROW]
[ROW][C]58[/C][C]0.000643[/C][C]0.005[/C][C]0.498004[/C][/ROW]
[ROW][C]59[/C][C]0.107051[/C][C]0.8361[/C][C]0.203182[/C][/ROW]
[ROW][C]60[/C][C]0.012898[/C][C]0.1007[/C][C]0.460044[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33835&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33835&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
10.5767894.50491.5e-05
20.1801811.40730.082213
30.3484432.72140.00423
40.1301981.01690.156614
50.0442820.34590.365321
60.1072640.83780.202719
7-0.217128-1.69580.047509
80.1995371.55840.062152
9-0.149358-1.16650.123972
10-0.128289-1.0020.160158
110.1282951.0020.160147
120.3508362.74010.004022
13-0.220308-1.72070.045191
14-0.185603-1.44960.076145
15-0.081376-0.63560.263719
160.0729580.56980.285447
17-0.058324-0.45550.325176
180.0624220.48750.313814
190.04660.3640.358574
20-0.062191-0.48570.314451
21-0.097847-0.76420.223844
220.0093720.07320.470943
230.0930410.72670.235102
24-0.111621-0.87180.193372
250.024960.19490.423041
26-0.003117-0.02430.490328
27-0.088835-0.69380.245213
28-0.006435-0.05030.480039
29-0.113439-0.8860.189551
300.0269360.21040.417039
31-0.04103-0.32050.374859
320.0258360.20180.420378
33-0.037094-0.28970.386509
34-0.027124-0.21180.416467
35-0.036216-0.28290.389121
360.0586770.45830.32419
37-0.035956-0.28080.389898
38-0.102425-0.80.213418
390.0806750.63010.265494
40-0.03861-0.30160.382008
41-0.113696-0.8880.189016
42-0.053418-0.41720.338997
430.0137290.10720.457481
44-0.025068-0.19580.422713
450.0346910.27090.393673
460.0305070.23830.406236
47-0.059521-0.46490.321838
48-0.12209-0.95350.172037
490.0766070.59830.275922
500.0019870.01550.493833
51-0.038957-0.30430.38098
52-0.02507-0.19580.422709
530.0171220.13370.44703
54-0.00051-0.0040.498418
55-0.039246-0.30650.380124
560.0721850.56380.287485
570.1830411.42960.078967
580.0006430.0050.498004
590.1070510.83610.203182
600.0128980.10070.460044



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')