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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 27 Nov 2007 03:51:59 -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/Nov/27/t1196160546wmkbvl4rqx064q0.htm/, Retrieved Sun, 05 May 2024 15:31:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6848, Retrieved Sun, 05 May 2024 15:31:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 4 Q2 Aut...] [2007-11-27 10:51:59] [44cf2be50bc8700e14714598feda9df9] [Current]
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Dataseries X:
15761.3
16943.0
15070.3
13659.6
14768.9
14725.1
15998.1
15370.6
14956.9
15469.7
15101.8
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
18840.1
20304.8
21132.4
19753.9
18009.9
20390.4




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=6848&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=6848&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6848&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
017.81020
10.5598934.37292.4e-05
20.4742453.7040.000229
30.5646884.41042.1e-05
40.5251144.10136.2e-05
50.454513.54980.000375
60.5871494.58581.1e-05
70.3685892.87880.002749
80.4427343.45790.000499
90.352072.74980.003918
100.1912121.49340.070242
110.3065252.3940.009877
120.5100763.98389.2e-05
130.1885661.47280.07298
140.1583981.23710.110391
150.1794981.40190.083003
160.1290791.00810.158684
170.1035560.80880.210886
180.191121.49270.070335
190.0234870.18340.427531
200.0790510.61740.269631
21-0.006155-0.04810.519091
22-0.145772-1.13850.870321
23-0.022859-0.17850.570553
240.0896150.69990.243321
25-0.129389-1.01060.84189
26-0.124106-0.96930.831888
27-0.117826-0.92030.819467
28-0.158617-1.23880.889925
29-0.148552-1.16020.874761
30-0.133441-1.04220.849286
31-0.210425-1.64350.947285
32-0.132163-1.03220.846979
33-0.236687-1.84860.965317
34-0.308532-2.40970.990501
35-0.225493-1.76120.958389
36-0.170675-1.3330.906258
37-0.287837-2.24810.985902
38-0.288443-2.25280.98606
39-0.274535-2.14420.981994
40-0.277406-2.16660.98291
41-0.280015-2.1870.983706
42-0.272736-2.13010.981399
43-0.286772-2.23980.985619
44-0.239756-1.87260.967038
45-0.277657-2.16860.982988
46-0.298-2.32750.988362
47-0.242246-1.8920.96838

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.8102 & 0 \tabularnewline
1 & 0.559893 & 4.3729 & 2.4e-05 \tabularnewline
2 & 0.474245 & 3.704 & 0.000229 \tabularnewline
3 & 0.564688 & 4.4104 & 2.1e-05 \tabularnewline
4 & 0.525114 & 4.1013 & 6.2e-05 \tabularnewline
5 & 0.45451 & 3.5498 & 0.000375 \tabularnewline
6 & 0.587149 & 4.5858 & 1.1e-05 \tabularnewline
7 & 0.368589 & 2.8788 & 0.002749 \tabularnewline
8 & 0.442734 & 3.4579 & 0.000499 \tabularnewline
9 & 0.35207 & 2.7498 & 0.003918 \tabularnewline
10 & 0.191212 & 1.4934 & 0.070242 \tabularnewline
11 & 0.306525 & 2.394 & 0.009877 \tabularnewline
12 & 0.510076 & 3.9838 & 9.2e-05 \tabularnewline
13 & 0.188566 & 1.4728 & 0.07298 \tabularnewline
14 & 0.158398 & 1.2371 & 0.110391 \tabularnewline
15 & 0.179498 & 1.4019 & 0.083003 \tabularnewline
16 & 0.129079 & 1.0081 & 0.158684 \tabularnewline
17 & 0.103556 & 0.8088 & 0.210886 \tabularnewline
18 & 0.19112 & 1.4927 & 0.070335 \tabularnewline
19 & 0.023487 & 0.1834 & 0.427531 \tabularnewline
20 & 0.079051 & 0.6174 & 0.269631 \tabularnewline
21 & -0.006155 & -0.0481 & 0.519091 \tabularnewline
22 & -0.145772 & -1.1385 & 0.870321 \tabularnewline
23 & -0.022859 & -0.1785 & 0.570553 \tabularnewline
24 & 0.089615 & 0.6999 & 0.243321 \tabularnewline
25 & -0.129389 & -1.0106 & 0.84189 \tabularnewline
26 & -0.124106 & -0.9693 & 0.831888 \tabularnewline
27 & -0.117826 & -0.9203 & 0.819467 \tabularnewline
28 & -0.158617 & -1.2388 & 0.889925 \tabularnewline
29 & -0.148552 & -1.1602 & 0.874761 \tabularnewline
30 & -0.133441 & -1.0422 & 0.849286 \tabularnewline
31 & -0.210425 & -1.6435 & 0.947285 \tabularnewline
32 & -0.132163 & -1.0322 & 0.846979 \tabularnewline
33 & -0.236687 & -1.8486 & 0.965317 \tabularnewline
34 & -0.308532 & -2.4097 & 0.990501 \tabularnewline
35 & -0.225493 & -1.7612 & 0.958389 \tabularnewline
36 & -0.170675 & -1.333 & 0.906258 \tabularnewline
37 & -0.287837 & -2.2481 & 0.985902 \tabularnewline
38 & -0.288443 & -2.2528 & 0.98606 \tabularnewline
39 & -0.274535 & -2.1442 & 0.981994 \tabularnewline
40 & -0.277406 & -2.1666 & 0.98291 \tabularnewline
41 & -0.280015 & -2.187 & 0.983706 \tabularnewline
42 & -0.272736 & -2.1301 & 0.981399 \tabularnewline
43 & -0.286772 & -2.2398 & 0.985619 \tabularnewline
44 & -0.239756 & -1.8726 & 0.967038 \tabularnewline
45 & -0.277657 & -2.1686 & 0.982988 \tabularnewline
46 & -0.298 & -2.3275 & 0.988362 \tabularnewline
47 & -0.242246 & -1.892 & 0.96838 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6848&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]7.8102[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.559893[/C][C]4.3729[/C][C]2.4e-05[/C][/ROW]
[ROW][C]2[/C][C]0.474245[/C][C]3.704[/C][C]0.000229[/C][/ROW]
[ROW][C]3[/C][C]0.564688[/C][C]4.4104[/C][C]2.1e-05[/C][/ROW]
[ROW][C]4[/C][C]0.525114[/C][C]4.1013[/C][C]6.2e-05[/C][/ROW]
[ROW][C]5[/C][C]0.45451[/C][C]3.5498[/C][C]0.000375[/C][/ROW]
[ROW][C]6[/C][C]0.587149[/C][C]4.5858[/C][C]1.1e-05[/C][/ROW]
[ROW][C]7[/C][C]0.368589[/C][C]2.8788[/C][C]0.002749[/C][/ROW]
[ROW][C]8[/C][C]0.442734[/C][C]3.4579[/C][C]0.000499[/C][/ROW]
[ROW][C]9[/C][C]0.35207[/C][C]2.7498[/C][C]0.003918[/C][/ROW]
[ROW][C]10[/C][C]0.191212[/C][C]1.4934[/C][C]0.070242[/C][/ROW]
[ROW][C]11[/C][C]0.306525[/C][C]2.394[/C][C]0.009877[/C][/ROW]
[ROW][C]12[/C][C]0.510076[/C][C]3.9838[/C][C]9.2e-05[/C][/ROW]
[ROW][C]13[/C][C]0.188566[/C][C]1.4728[/C][C]0.07298[/C][/ROW]
[ROW][C]14[/C][C]0.158398[/C][C]1.2371[/C][C]0.110391[/C][/ROW]
[ROW][C]15[/C][C]0.179498[/C][C]1.4019[/C][C]0.083003[/C][/ROW]
[ROW][C]16[/C][C]0.129079[/C][C]1.0081[/C][C]0.158684[/C][/ROW]
[ROW][C]17[/C][C]0.103556[/C][C]0.8088[/C][C]0.210886[/C][/ROW]
[ROW][C]18[/C][C]0.19112[/C][C]1.4927[/C][C]0.070335[/C][/ROW]
[ROW][C]19[/C][C]0.023487[/C][C]0.1834[/C][C]0.427531[/C][/ROW]
[ROW][C]20[/C][C]0.079051[/C][C]0.6174[/C][C]0.269631[/C][/ROW]
[ROW][C]21[/C][C]-0.006155[/C][C]-0.0481[/C][C]0.519091[/C][/ROW]
[ROW][C]22[/C][C]-0.145772[/C][C]-1.1385[/C][C]0.870321[/C][/ROW]
[ROW][C]23[/C][C]-0.022859[/C][C]-0.1785[/C][C]0.570553[/C][/ROW]
[ROW][C]24[/C][C]0.089615[/C][C]0.6999[/C][C]0.243321[/C][/ROW]
[ROW][C]25[/C][C]-0.129389[/C][C]-1.0106[/C][C]0.84189[/C][/ROW]
[ROW][C]26[/C][C]-0.124106[/C][C]-0.9693[/C][C]0.831888[/C][/ROW]
[ROW][C]27[/C][C]-0.117826[/C][C]-0.9203[/C][C]0.819467[/C][/ROW]
[ROW][C]28[/C][C]-0.158617[/C][C]-1.2388[/C][C]0.889925[/C][/ROW]
[ROW][C]29[/C][C]-0.148552[/C][C]-1.1602[/C][C]0.874761[/C][/ROW]
[ROW][C]30[/C][C]-0.133441[/C][C]-1.0422[/C][C]0.849286[/C][/ROW]
[ROW][C]31[/C][C]-0.210425[/C][C]-1.6435[/C][C]0.947285[/C][/ROW]
[ROW][C]32[/C][C]-0.132163[/C][C]-1.0322[/C][C]0.846979[/C][/ROW]
[ROW][C]33[/C][C]-0.236687[/C][C]-1.8486[/C][C]0.965317[/C][/ROW]
[ROW][C]34[/C][C]-0.308532[/C][C]-2.4097[/C][C]0.990501[/C][/ROW]
[ROW][C]35[/C][C]-0.225493[/C][C]-1.7612[/C][C]0.958389[/C][/ROW]
[ROW][C]36[/C][C]-0.170675[/C][C]-1.333[/C][C]0.906258[/C][/ROW]
[ROW][C]37[/C][C]-0.287837[/C][C]-2.2481[/C][C]0.985902[/C][/ROW]
[ROW][C]38[/C][C]-0.288443[/C][C]-2.2528[/C][C]0.98606[/C][/ROW]
[ROW][C]39[/C][C]-0.274535[/C][C]-2.1442[/C][C]0.981994[/C][/ROW]
[ROW][C]40[/C][C]-0.277406[/C][C]-2.1666[/C][C]0.98291[/C][/ROW]
[ROW][C]41[/C][C]-0.280015[/C][C]-2.187[/C][C]0.983706[/C][/ROW]
[ROW][C]42[/C][C]-0.272736[/C][C]-2.1301[/C][C]0.981399[/C][/ROW]
[ROW][C]43[/C][C]-0.286772[/C][C]-2.2398[/C][C]0.985619[/C][/ROW]
[ROW][C]44[/C][C]-0.239756[/C][C]-1.8726[/C][C]0.967038[/C][/ROW]
[ROW][C]45[/C][C]-0.277657[/C][C]-2.1686[/C][C]0.982988[/C][/ROW]
[ROW][C]46[/C][C]-0.298[/C][C]-2.3275[/C][C]0.988362[/C][/ROW]
[ROW][C]47[/C][C]-0.242246[/C][C]-1.892[/C][C]0.96838[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6848&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6848&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
017.81020
10.5598934.37292.4e-05
20.4742453.7040.000229
30.5646884.41042.1e-05
40.5251144.10136.2e-05
50.454513.54980.000375
60.5871494.58581.1e-05
70.3685892.87880.002749
80.4427343.45790.000499
90.352072.74980.003918
100.1912121.49340.070242
110.3065252.3940.009877
120.5100763.98389.2e-05
130.1885661.47280.07298
140.1583981.23710.110391
150.1794981.40190.083003
160.1290791.00810.158684
170.1035560.80880.210886
180.191121.49270.070335
190.0234870.18340.427531
200.0790510.61740.269631
21-0.006155-0.04810.519091
22-0.145772-1.13850.870321
23-0.022859-0.17850.570553
240.0896150.69990.243321
25-0.129389-1.01060.84189
26-0.124106-0.96930.831888
27-0.117826-0.92030.819467
28-0.158617-1.23880.889925
29-0.148552-1.16020.874761
30-0.133441-1.04220.849286
31-0.210425-1.64350.947285
32-0.132163-1.03220.846979
33-0.236687-1.84860.965317
34-0.308532-2.40970.990501
35-0.225493-1.76120.958389
36-0.170675-1.3330.906258
37-0.287837-2.24810.985902
38-0.288443-2.25280.98606
39-0.274535-2.14420.981994
40-0.277406-2.16660.98291
41-0.280015-2.1870.983706
42-0.272736-2.13010.981399
43-0.286772-2.23980.985619
44-0.239756-1.87260.967038
45-0.277657-2.16860.982988
46-0.298-2.32750.988362
47-0.242246-1.8920.96838







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.5598934.37292.4e-05
10.2341741.8290.036148
20.3548132.77120.003697
30.1628081.27160.104176
40.0575940.44980.327216
50.3008652.34980.011017
6-0.252115-1.96910.973254
70.2015091.57380.060349
8-0.293922-2.29560.987425
9-0.25271-1.97370.973527
100.1970251.53880.064511
110.3088232.4120.009445
12-0.178959-1.39770.916369
13-0.198128-1.54740.936534
14-0.071463-0.55810.710607
150.0037190.0290.488461
16-0.068302-0.53350.702173
170.095280.74420.229818
18-0.080587-0.62940.734282
19-0.078153-0.61040.728067
200.0328970.25690.399048
21-0.093652-0.73140.766347
220.0444330.3470.36488
23-0.058713-0.45860.67591
240.0392740.30670.380043
25-0.039107-0.30540.619464
26-0.019057-0.14880.558915
270.0855320.6680.253318
28-0.125766-0.98230.835075
29-0.098623-0.77030.777945
300.0024510.01910.492394
310.0397930.31080.37851
32-0.026506-0.2070.581657
33-0.002258-0.01760.507006
34-0.099949-0.78060.780979
35-0.069388-0.54190.705081
360.0200250.15640.438118
37-0.034084-0.26620.604512
380.0231810.1810.428465
39-0.012273-0.09590.538026
40-0.002488-0.01940.507722
410.0029390.0230.49088
42-0.027236-0.21270.583873
43-0.043558-0.34020.632563
440.0308690.24110.405144
450.0410210.32040.374885
460.0064330.05020.480047
47-0.043205-0.33740.631528

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.559893 & 4.3729 & 2.4e-05 \tabularnewline
1 & 0.234174 & 1.829 & 0.036148 \tabularnewline
2 & 0.354813 & 2.7712 & 0.003697 \tabularnewline
3 & 0.162808 & 1.2716 & 0.104176 \tabularnewline
4 & 0.057594 & 0.4498 & 0.327216 \tabularnewline
5 & 0.300865 & 2.3498 & 0.011017 \tabularnewline
6 & -0.252115 & -1.9691 & 0.973254 \tabularnewline
7 & 0.201509 & 1.5738 & 0.060349 \tabularnewline
8 & -0.293922 & -2.2956 & 0.987425 \tabularnewline
9 & -0.25271 & -1.9737 & 0.973527 \tabularnewline
10 & 0.197025 & 1.5388 & 0.064511 \tabularnewline
11 & 0.308823 & 2.412 & 0.009445 \tabularnewline
12 & -0.178959 & -1.3977 & 0.916369 \tabularnewline
13 & -0.198128 & -1.5474 & 0.936534 \tabularnewline
14 & -0.071463 & -0.5581 & 0.710607 \tabularnewline
15 & 0.003719 & 0.029 & 0.488461 \tabularnewline
16 & -0.068302 & -0.5335 & 0.702173 \tabularnewline
17 & 0.09528 & 0.7442 & 0.229818 \tabularnewline
18 & -0.080587 & -0.6294 & 0.734282 \tabularnewline
19 & -0.078153 & -0.6104 & 0.728067 \tabularnewline
20 & 0.032897 & 0.2569 & 0.399048 \tabularnewline
21 & -0.093652 & -0.7314 & 0.766347 \tabularnewline
22 & 0.044433 & 0.347 & 0.36488 \tabularnewline
23 & -0.058713 & -0.4586 & 0.67591 \tabularnewline
24 & 0.039274 & 0.3067 & 0.380043 \tabularnewline
25 & -0.039107 & -0.3054 & 0.619464 \tabularnewline
26 & -0.019057 & -0.1488 & 0.558915 \tabularnewline
27 & 0.085532 & 0.668 & 0.253318 \tabularnewline
28 & -0.125766 & -0.9823 & 0.835075 \tabularnewline
29 & -0.098623 & -0.7703 & 0.777945 \tabularnewline
30 & 0.002451 & 0.0191 & 0.492394 \tabularnewline
31 & 0.039793 & 0.3108 & 0.37851 \tabularnewline
32 & -0.026506 & -0.207 & 0.581657 \tabularnewline
33 & -0.002258 & -0.0176 & 0.507006 \tabularnewline
34 & -0.099949 & -0.7806 & 0.780979 \tabularnewline
35 & -0.069388 & -0.5419 & 0.705081 \tabularnewline
36 & 0.020025 & 0.1564 & 0.438118 \tabularnewline
37 & -0.034084 & -0.2662 & 0.604512 \tabularnewline
38 & 0.023181 & 0.181 & 0.428465 \tabularnewline
39 & -0.012273 & -0.0959 & 0.538026 \tabularnewline
40 & -0.002488 & -0.0194 & 0.507722 \tabularnewline
41 & 0.002939 & 0.023 & 0.49088 \tabularnewline
42 & -0.027236 & -0.2127 & 0.583873 \tabularnewline
43 & -0.043558 & -0.3402 & 0.632563 \tabularnewline
44 & 0.030869 & 0.2411 & 0.405144 \tabularnewline
45 & 0.041021 & 0.3204 & 0.374885 \tabularnewline
46 & 0.006433 & 0.0502 & 0.480047 \tabularnewline
47 & -0.043205 & -0.3374 & 0.631528 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6848&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]0.559893[/C][C]4.3729[/C][C]2.4e-05[/C][/ROW]
[ROW][C]1[/C][C]0.234174[/C][C]1.829[/C][C]0.036148[/C][/ROW]
[ROW][C]2[/C][C]0.354813[/C][C]2.7712[/C][C]0.003697[/C][/ROW]
[ROW][C]3[/C][C]0.162808[/C][C]1.2716[/C][C]0.104176[/C][/ROW]
[ROW][C]4[/C][C]0.057594[/C][C]0.4498[/C][C]0.327216[/C][/ROW]
[ROW][C]5[/C][C]0.300865[/C][C]2.3498[/C][C]0.011017[/C][/ROW]
[ROW][C]6[/C][C]-0.252115[/C][C]-1.9691[/C][C]0.973254[/C][/ROW]
[ROW][C]7[/C][C]0.201509[/C][C]1.5738[/C][C]0.060349[/C][/ROW]
[ROW][C]8[/C][C]-0.293922[/C][C]-2.2956[/C][C]0.987425[/C][/ROW]
[ROW][C]9[/C][C]-0.25271[/C][C]-1.9737[/C][C]0.973527[/C][/ROW]
[ROW][C]10[/C][C]0.197025[/C][C]1.5388[/C][C]0.064511[/C][/ROW]
[ROW][C]11[/C][C]0.308823[/C][C]2.412[/C][C]0.009445[/C][/ROW]
[ROW][C]12[/C][C]-0.178959[/C][C]-1.3977[/C][C]0.916369[/C][/ROW]
[ROW][C]13[/C][C]-0.198128[/C][C]-1.5474[/C][C]0.936534[/C][/ROW]
[ROW][C]14[/C][C]-0.071463[/C][C]-0.5581[/C][C]0.710607[/C][/ROW]
[ROW][C]15[/C][C]0.003719[/C][C]0.029[/C][C]0.488461[/C][/ROW]
[ROW][C]16[/C][C]-0.068302[/C][C]-0.5335[/C][C]0.702173[/C][/ROW]
[ROW][C]17[/C][C]0.09528[/C][C]0.7442[/C][C]0.229818[/C][/ROW]
[ROW][C]18[/C][C]-0.080587[/C][C]-0.6294[/C][C]0.734282[/C][/ROW]
[ROW][C]19[/C][C]-0.078153[/C][C]-0.6104[/C][C]0.728067[/C][/ROW]
[ROW][C]20[/C][C]0.032897[/C][C]0.2569[/C][C]0.399048[/C][/ROW]
[ROW][C]21[/C][C]-0.093652[/C][C]-0.7314[/C][C]0.766347[/C][/ROW]
[ROW][C]22[/C][C]0.044433[/C][C]0.347[/C][C]0.36488[/C][/ROW]
[ROW][C]23[/C][C]-0.058713[/C][C]-0.4586[/C][C]0.67591[/C][/ROW]
[ROW][C]24[/C][C]0.039274[/C][C]0.3067[/C][C]0.380043[/C][/ROW]
[ROW][C]25[/C][C]-0.039107[/C][C]-0.3054[/C][C]0.619464[/C][/ROW]
[ROW][C]26[/C][C]-0.019057[/C][C]-0.1488[/C][C]0.558915[/C][/ROW]
[ROW][C]27[/C][C]0.085532[/C][C]0.668[/C][C]0.253318[/C][/ROW]
[ROW][C]28[/C][C]-0.125766[/C][C]-0.9823[/C][C]0.835075[/C][/ROW]
[ROW][C]29[/C][C]-0.098623[/C][C]-0.7703[/C][C]0.777945[/C][/ROW]
[ROW][C]30[/C][C]0.002451[/C][C]0.0191[/C][C]0.492394[/C][/ROW]
[ROW][C]31[/C][C]0.039793[/C][C]0.3108[/C][C]0.37851[/C][/ROW]
[ROW][C]32[/C][C]-0.026506[/C][C]-0.207[/C][C]0.581657[/C][/ROW]
[ROW][C]33[/C][C]-0.002258[/C][C]-0.0176[/C][C]0.507006[/C][/ROW]
[ROW][C]34[/C][C]-0.099949[/C][C]-0.7806[/C][C]0.780979[/C][/ROW]
[ROW][C]35[/C][C]-0.069388[/C][C]-0.5419[/C][C]0.705081[/C][/ROW]
[ROW][C]36[/C][C]0.020025[/C][C]0.1564[/C][C]0.438118[/C][/ROW]
[ROW][C]37[/C][C]-0.034084[/C][C]-0.2662[/C][C]0.604512[/C][/ROW]
[ROW][C]38[/C][C]0.023181[/C][C]0.181[/C][C]0.428465[/C][/ROW]
[ROW][C]39[/C][C]-0.012273[/C][C]-0.0959[/C][C]0.538026[/C][/ROW]
[ROW][C]40[/C][C]-0.002488[/C][C]-0.0194[/C][C]0.507722[/C][/ROW]
[ROW][C]41[/C][C]0.002939[/C][C]0.023[/C][C]0.49088[/C][/ROW]
[ROW][C]42[/C][C]-0.027236[/C][C]-0.2127[/C][C]0.583873[/C][/ROW]
[ROW][C]43[/C][C]-0.043558[/C][C]-0.3402[/C][C]0.632563[/C][/ROW]
[ROW][C]44[/C][C]0.030869[/C][C]0.2411[/C][C]0.405144[/C][/ROW]
[ROW][C]45[/C][C]0.041021[/C][C]0.3204[/C][C]0.374885[/C][/ROW]
[ROW][C]46[/C][C]0.006433[/C][C]0.0502[/C][C]0.480047[/C][/ROW]
[ROW][C]47[/C][C]-0.043205[/C][C]-0.3374[/C][C]0.631528[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6848&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6848&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
00.5598934.37292.4e-05
10.2341741.8290.036148
20.3548132.77120.003697
30.1628081.27160.104176
40.0575940.44980.327216
50.3008652.34980.011017
6-0.252115-1.96910.973254
70.2015091.57380.060349
8-0.293922-2.29560.987425
9-0.25271-1.97370.973527
100.1970251.53880.064511
110.3088232.4120.009445
12-0.178959-1.39770.916369
13-0.198128-1.54740.936534
14-0.071463-0.55810.710607
150.0037190.0290.488461
16-0.068302-0.53350.702173
170.095280.74420.229818
18-0.080587-0.62940.734282
19-0.078153-0.61040.728067
200.0328970.25690.399048
21-0.093652-0.73140.766347
220.0444330.3470.36488
23-0.058713-0.45860.67591
240.0392740.30670.380043
25-0.039107-0.30540.619464
26-0.019057-0.14880.558915
270.0855320.6680.253318
28-0.125766-0.98230.835075
29-0.098623-0.77030.777945
300.0024510.01910.492394
310.0397930.31080.37851
32-0.026506-0.2070.581657
33-0.002258-0.01760.507006
34-0.099949-0.78060.780979
35-0.069388-0.54190.705081
360.0200250.15640.438118
37-0.034084-0.26620.604512
380.0231810.1810.428465
39-0.012273-0.09590.538026
40-0.002488-0.01940.507722
410.0029390.0230.49088
42-0.027236-0.21270.583873
43-0.043558-0.34020.632563
440.0308690.24110.405144
450.0410210.32040.374885
460.0064330.05020.480047
47-0.043205-0.33740.631528



Parameters (Session):
par1 = 48 ; par2 = 1.1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.1 ; 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 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')