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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 computationTue, 23 Dec 2008 09:01:06 -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/23/t1230048093xcrkxvjcj78l6zc.htm/, Retrieved Fri, 17 May 2024 04:20:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36337, Retrieved Fri, 17 May 2024 04:20:22 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Autocorrelation F...] [2007-12-16 16:28:35] [9fd02a4fb76a6860fd38131ad7f5d02f]
- R PD    [(Partial) Autocorrelation Function] [] [2008-12-23 16:01:06] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
0,2
0,8
1,2
4,5
0,4
5,9
6,5
12,8
4,2
-3,3
-12,5
-16,3
-10,5
-11,8
-11,4
-17,7
-17,3
-18,6
-17,9
-21,4
-19,4
-15,5
-7,7
-0,7
-1,6
1,4
0,7
9,5
1,4
4,1
6,6
18,4
16,9
9,2
-4,3
-5,9
-7,7
-5,4
-2,3
-4,8
2,3
-5,2
-10
-17,1
-14,4
-3,9
3,7
6,5
0,9
-4,1
-7
-12,2
-2,5
4,4
13,7
12,3
13,4
2,2
1,7
-7,2
-4,8
-2,9
-2,4
-2,5
-5,3
-7,1
-8
-8,9
-7,7
-1,1
4
9,6
10,9
13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36337&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36337&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36337&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8143517.00530
20.5613334.82884e-06
30.2596872.23390.014255
40.1225031.05380.147699
50.063020.54210.294683
60.0662040.56950.285367
70.0618070.53170.29827
80.0019830.01710.493218
9-0.129708-1.11580.134061
10-0.349727-3.00850.001794
11-0.53103-4.56811e-05
12-0.611281-5.25841e-06
13-0.507901-4.36912e-05
14-0.343366-2.95370.002103
15-0.165301-1.4220.079618
16-0.092956-0.79960.213241
17-0.067377-0.57960.281973
18-0.091515-0.78720.216828
19-0.115808-0.99620.161196
20-0.095521-0.82170.206943
21-0.010107-0.08690.465474
220.1454211.2510.107445
230.3137852.69930.004303
240.3945773.39430.000554
250.3703273.18570.001057
260.2626892.25970.013391
270.1357451.16770.123333
280.0485140.41730.338822
290.0295870.25450.399901
300.0400720.34470.365645
310.0683930.58830.279049
320.032680.28110.3897
33-0.02744-0.23610.407023
34-0.153459-1.32010.095434
35-0.243152-2.09170.01995
36-0.297456-2.55880.006273
37-0.262322-2.25660.013494
38-0.156973-1.35030.090513
39-0.057184-0.49190.312117
400.0261740.22520.41124
410.0201660.17350.431376
42-0.005637-0.04850.480727
43-0.046556-0.40050.344974
44-0.025501-0.21940.413484
450.0201290.17320.431499
460.0915050.78720.216852
470.131311.12960.131153
480.1493371.28460.101461

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.814351 & 7.0053 & 0 \tabularnewline
2 & 0.561333 & 4.8288 & 4e-06 \tabularnewline
3 & 0.259687 & 2.2339 & 0.014255 \tabularnewline
4 & 0.122503 & 1.0538 & 0.147699 \tabularnewline
5 & 0.06302 & 0.5421 & 0.294683 \tabularnewline
6 & 0.066204 & 0.5695 & 0.285367 \tabularnewline
7 & 0.061807 & 0.5317 & 0.29827 \tabularnewline
8 & 0.001983 & 0.0171 & 0.493218 \tabularnewline
9 & -0.129708 & -1.1158 & 0.134061 \tabularnewline
10 & -0.349727 & -3.0085 & 0.001794 \tabularnewline
11 & -0.53103 & -4.5681 & 1e-05 \tabularnewline
12 & -0.611281 & -5.2584 & 1e-06 \tabularnewline
13 & -0.507901 & -4.3691 & 2e-05 \tabularnewline
14 & -0.343366 & -2.9537 & 0.002103 \tabularnewline
15 & -0.165301 & -1.422 & 0.079618 \tabularnewline
16 & -0.092956 & -0.7996 & 0.213241 \tabularnewline
17 & -0.067377 & -0.5796 & 0.281973 \tabularnewline
18 & -0.091515 & -0.7872 & 0.216828 \tabularnewline
19 & -0.115808 & -0.9962 & 0.161196 \tabularnewline
20 & -0.095521 & -0.8217 & 0.206943 \tabularnewline
21 & -0.010107 & -0.0869 & 0.465474 \tabularnewline
22 & 0.145421 & 1.251 & 0.107445 \tabularnewline
23 & 0.313785 & 2.6993 & 0.004303 \tabularnewline
24 & 0.394577 & 3.3943 & 0.000554 \tabularnewline
25 & 0.370327 & 3.1857 & 0.001057 \tabularnewline
26 & 0.262689 & 2.2597 & 0.013391 \tabularnewline
27 & 0.135745 & 1.1677 & 0.123333 \tabularnewline
28 & 0.048514 & 0.4173 & 0.338822 \tabularnewline
29 & 0.029587 & 0.2545 & 0.399901 \tabularnewline
30 & 0.040072 & 0.3447 & 0.365645 \tabularnewline
31 & 0.068393 & 0.5883 & 0.279049 \tabularnewline
32 & 0.03268 & 0.2811 & 0.3897 \tabularnewline
33 & -0.02744 & -0.2361 & 0.407023 \tabularnewline
34 & -0.153459 & -1.3201 & 0.095434 \tabularnewline
35 & -0.243152 & -2.0917 & 0.01995 \tabularnewline
36 & -0.297456 & -2.5588 & 0.006273 \tabularnewline
37 & -0.262322 & -2.2566 & 0.013494 \tabularnewline
38 & -0.156973 & -1.3503 & 0.090513 \tabularnewline
39 & -0.057184 & -0.4919 & 0.312117 \tabularnewline
40 & 0.026174 & 0.2252 & 0.41124 \tabularnewline
41 & 0.020166 & 0.1735 & 0.431376 \tabularnewline
42 & -0.005637 & -0.0485 & 0.480727 \tabularnewline
43 & -0.046556 & -0.4005 & 0.344974 \tabularnewline
44 & -0.025501 & -0.2194 & 0.413484 \tabularnewline
45 & 0.020129 & 0.1732 & 0.431499 \tabularnewline
46 & 0.091505 & 0.7872 & 0.216852 \tabularnewline
47 & 0.13131 & 1.1296 & 0.131153 \tabularnewline
48 & 0.149337 & 1.2846 & 0.101461 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36337&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]0.814351[/C][C]7.0053[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.561333[/C][C]4.8288[/C][C]4e-06[/C][/ROW]
[ROW][C]3[/C][C]0.259687[/C][C]2.2339[/C][C]0.014255[/C][/ROW]
[ROW][C]4[/C][C]0.122503[/C][C]1.0538[/C][C]0.147699[/C][/ROW]
[ROW][C]5[/C][C]0.06302[/C][C]0.5421[/C][C]0.294683[/C][/ROW]
[ROW][C]6[/C][C]0.066204[/C][C]0.5695[/C][C]0.285367[/C][/ROW]
[ROW][C]7[/C][C]0.061807[/C][C]0.5317[/C][C]0.29827[/C][/ROW]
[ROW][C]8[/C][C]0.001983[/C][C]0.0171[/C][C]0.493218[/C][/ROW]
[ROW][C]9[/C][C]-0.129708[/C][C]-1.1158[/C][C]0.134061[/C][/ROW]
[ROW][C]10[/C][C]-0.349727[/C][C]-3.0085[/C][C]0.001794[/C][/ROW]
[ROW][C]11[/C][C]-0.53103[/C][C]-4.5681[/C][C]1e-05[/C][/ROW]
[ROW][C]12[/C][C]-0.611281[/C][C]-5.2584[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.507901[/C][C]-4.3691[/C][C]2e-05[/C][/ROW]
[ROW][C]14[/C][C]-0.343366[/C][C]-2.9537[/C][C]0.002103[/C][/ROW]
[ROW][C]15[/C][C]-0.165301[/C][C]-1.422[/C][C]0.079618[/C][/ROW]
[ROW][C]16[/C][C]-0.092956[/C][C]-0.7996[/C][C]0.213241[/C][/ROW]
[ROW][C]17[/C][C]-0.067377[/C][C]-0.5796[/C][C]0.281973[/C][/ROW]
[ROW][C]18[/C][C]-0.091515[/C][C]-0.7872[/C][C]0.216828[/C][/ROW]
[ROW][C]19[/C][C]-0.115808[/C][C]-0.9962[/C][C]0.161196[/C][/ROW]
[ROW][C]20[/C][C]-0.095521[/C][C]-0.8217[/C][C]0.206943[/C][/ROW]
[ROW][C]21[/C][C]-0.010107[/C][C]-0.0869[/C][C]0.465474[/C][/ROW]
[ROW][C]22[/C][C]0.145421[/C][C]1.251[/C][C]0.107445[/C][/ROW]
[ROW][C]23[/C][C]0.313785[/C][C]2.6993[/C][C]0.004303[/C][/ROW]
[ROW][C]24[/C][C]0.394577[/C][C]3.3943[/C][C]0.000554[/C][/ROW]
[ROW][C]25[/C][C]0.370327[/C][C]3.1857[/C][C]0.001057[/C][/ROW]
[ROW][C]26[/C][C]0.262689[/C][C]2.2597[/C][C]0.013391[/C][/ROW]
[ROW][C]27[/C][C]0.135745[/C][C]1.1677[/C][C]0.123333[/C][/ROW]
[ROW][C]28[/C][C]0.048514[/C][C]0.4173[/C][C]0.338822[/C][/ROW]
[ROW][C]29[/C][C]0.029587[/C][C]0.2545[/C][C]0.399901[/C][/ROW]
[ROW][C]30[/C][C]0.040072[/C][C]0.3447[/C][C]0.365645[/C][/ROW]
[ROW][C]31[/C][C]0.068393[/C][C]0.5883[/C][C]0.279049[/C][/ROW]
[ROW][C]32[/C][C]0.03268[/C][C]0.2811[/C][C]0.3897[/C][/ROW]
[ROW][C]33[/C][C]-0.02744[/C][C]-0.2361[/C][C]0.407023[/C][/ROW]
[ROW][C]34[/C][C]-0.153459[/C][C]-1.3201[/C][C]0.095434[/C][/ROW]
[ROW][C]35[/C][C]-0.243152[/C][C]-2.0917[/C][C]0.01995[/C][/ROW]
[ROW][C]36[/C][C]-0.297456[/C][C]-2.5588[/C][C]0.006273[/C][/ROW]
[ROW][C]37[/C][C]-0.262322[/C][C]-2.2566[/C][C]0.013494[/C][/ROW]
[ROW][C]38[/C][C]-0.156973[/C][C]-1.3503[/C][C]0.090513[/C][/ROW]
[ROW][C]39[/C][C]-0.057184[/C][C]-0.4919[/C][C]0.312117[/C][/ROW]
[ROW][C]40[/C][C]0.026174[/C][C]0.2252[/C][C]0.41124[/C][/ROW]
[ROW][C]41[/C][C]0.020166[/C][C]0.1735[/C][C]0.431376[/C][/ROW]
[ROW][C]42[/C][C]-0.005637[/C][C]-0.0485[/C][C]0.480727[/C][/ROW]
[ROW][C]43[/C][C]-0.046556[/C][C]-0.4005[/C][C]0.344974[/C][/ROW]
[ROW][C]44[/C][C]-0.025501[/C][C]-0.2194[/C][C]0.413484[/C][/ROW]
[ROW][C]45[/C][C]0.020129[/C][C]0.1732[/C][C]0.431499[/C][/ROW]
[ROW][C]46[/C][C]0.091505[/C][C]0.7872[/C][C]0.216852[/C][/ROW]
[ROW][C]47[/C][C]0.13131[/C][C]1.1296[/C][C]0.131153[/C][/ROW]
[ROW][C]48[/C][C]0.149337[/C][C]1.2846[/C][C]0.101461[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36337&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36337&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
10.8143517.00530
20.5613334.82884e-06
30.2596872.23390.014255
40.1225031.05380.147699
50.063020.54210.294683
60.0662040.56950.285367
70.0618070.53170.29827
80.0019830.01710.493218
9-0.129708-1.11580.134061
10-0.349727-3.00850.001794
11-0.53103-4.56811e-05
12-0.611281-5.25841e-06
13-0.507901-4.36912e-05
14-0.343366-2.95370.002103
15-0.165301-1.4220.079618
16-0.092956-0.79960.213241
17-0.067377-0.57960.281973
18-0.091515-0.78720.216828
19-0.115808-0.99620.161196
20-0.095521-0.82170.206943
21-0.010107-0.08690.465474
220.1454211.2510.107445
230.3137852.69930.004303
240.3945773.39430.000554
250.3703273.18570.001057
260.2626892.25970.013391
270.1357451.16770.123333
280.0485140.41730.338822
290.0295870.25450.399901
300.0400720.34470.365645
310.0683930.58830.279049
320.032680.28110.3897
33-0.02744-0.23610.407023
34-0.153459-1.32010.095434
35-0.243152-2.09170.01995
36-0.297456-2.55880.006273
37-0.262322-2.25660.013494
38-0.156973-1.35030.090513
39-0.057184-0.49190.312117
400.0261740.22520.41124
410.0201660.17350.431376
42-0.005637-0.04850.480727
43-0.046556-0.40050.344974
44-0.025501-0.21940.413484
450.0201290.17320.431499
460.0915050.78720.216852
470.131311.12960.131153
480.1493371.28460.101461







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8143517.00530
2-0.302332-2.60080.005613
3-0.292223-2.51380.007059
40.3706443.18840.001049
5-0.025325-0.21790.414072
6-0.142569-1.22640.111964
70.0784530.67490.250928
8-0.186469-1.60410.056479
9-0.277587-2.38790.009749
10-0.327214-2.81480.003125
11-0.042595-0.36640.357551
120.0456340.39260.347888
130.1287921.10790.135745
14-0.049167-0.4230.336779
150.0450440.38750.349757
16-0.049266-0.42380.336469
170.0304240.26170.397134
180.0022060.0190.492455
19-0.167744-1.4430.076622
200.0095390.08210.46741
210.0226590.19490.422994
22-0.014627-0.12580.450105
230.2088541.79660.038237
24-0.073408-0.63150.264836
250.0215780.18560.426626
260.0416830.35860.36047
27-0.16717-1.43810.077318
28-0.016672-0.14340.443177
290.1101120.94720.173306
30-0.225628-1.94090.028038
310.0409140.3520.362935
32-0.112738-0.96980.16765
330.0886470.76260.224071
340.0409770.35250.362734
35-0.007491-0.06440.474396
360.0484940.41720.338885
370.0153480.1320.447659
380.0456320.39250.347894
39-0.027635-0.23770.406377
40-0.002907-0.0250.490057
41-0.083886-0.72160.236404
42-0.017692-0.15220.439724
430.014290.12290.451251
440.0141060.12130.451873
450.0515210.44320.329458
46-0.164374-1.4140.080777
470.0311120.26760.394861
480.0412820.35510.361753

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.814351 & 7.0053 & 0 \tabularnewline
2 & -0.302332 & -2.6008 & 0.005613 \tabularnewline
3 & -0.292223 & -2.5138 & 0.007059 \tabularnewline
4 & 0.370644 & 3.1884 & 0.001049 \tabularnewline
5 & -0.025325 & -0.2179 & 0.414072 \tabularnewline
6 & -0.142569 & -1.2264 & 0.111964 \tabularnewline
7 & 0.078453 & 0.6749 & 0.250928 \tabularnewline
8 & -0.186469 & -1.6041 & 0.056479 \tabularnewline
9 & -0.277587 & -2.3879 & 0.009749 \tabularnewline
10 & -0.327214 & -2.8148 & 0.003125 \tabularnewline
11 & -0.042595 & -0.3664 & 0.357551 \tabularnewline
12 & 0.045634 & 0.3926 & 0.347888 \tabularnewline
13 & 0.128792 & 1.1079 & 0.135745 \tabularnewline
14 & -0.049167 & -0.423 & 0.336779 \tabularnewline
15 & 0.045044 & 0.3875 & 0.349757 \tabularnewline
16 & -0.049266 & -0.4238 & 0.336469 \tabularnewline
17 & 0.030424 & 0.2617 & 0.397134 \tabularnewline
18 & 0.002206 & 0.019 & 0.492455 \tabularnewline
19 & -0.167744 & -1.443 & 0.076622 \tabularnewline
20 & 0.009539 & 0.0821 & 0.46741 \tabularnewline
21 & 0.022659 & 0.1949 & 0.422994 \tabularnewline
22 & -0.014627 & -0.1258 & 0.450105 \tabularnewline
23 & 0.208854 & 1.7966 & 0.038237 \tabularnewline
24 & -0.073408 & -0.6315 & 0.264836 \tabularnewline
25 & 0.021578 & 0.1856 & 0.426626 \tabularnewline
26 & 0.041683 & 0.3586 & 0.36047 \tabularnewline
27 & -0.16717 & -1.4381 & 0.077318 \tabularnewline
28 & -0.016672 & -0.1434 & 0.443177 \tabularnewline
29 & 0.110112 & 0.9472 & 0.173306 \tabularnewline
30 & -0.225628 & -1.9409 & 0.028038 \tabularnewline
31 & 0.040914 & 0.352 & 0.362935 \tabularnewline
32 & -0.112738 & -0.9698 & 0.16765 \tabularnewline
33 & 0.088647 & 0.7626 & 0.224071 \tabularnewline
34 & 0.040977 & 0.3525 & 0.362734 \tabularnewline
35 & -0.007491 & -0.0644 & 0.474396 \tabularnewline
36 & 0.048494 & 0.4172 & 0.338885 \tabularnewline
37 & 0.015348 & 0.132 & 0.447659 \tabularnewline
38 & 0.045632 & 0.3925 & 0.347894 \tabularnewline
39 & -0.027635 & -0.2377 & 0.406377 \tabularnewline
40 & -0.002907 & -0.025 & 0.490057 \tabularnewline
41 & -0.083886 & -0.7216 & 0.236404 \tabularnewline
42 & -0.017692 & -0.1522 & 0.439724 \tabularnewline
43 & 0.01429 & 0.1229 & 0.451251 \tabularnewline
44 & 0.014106 & 0.1213 & 0.451873 \tabularnewline
45 & 0.051521 & 0.4432 & 0.329458 \tabularnewline
46 & -0.164374 & -1.414 & 0.080777 \tabularnewline
47 & 0.031112 & 0.2676 & 0.394861 \tabularnewline
48 & 0.041282 & 0.3551 & 0.361753 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36337&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]0.814351[/C][C]7.0053[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.302332[/C][C]-2.6008[/C][C]0.005613[/C][/ROW]
[ROW][C]3[/C][C]-0.292223[/C][C]-2.5138[/C][C]0.007059[/C][/ROW]
[ROW][C]4[/C][C]0.370644[/C][C]3.1884[/C][C]0.001049[/C][/ROW]
[ROW][C]5[/C][C]-0.025325[/C][C]-0.2179[/C][C]0.414072[/C][/ROW]
[ROW][C]6[/C][C]-0.142569[/C][C]-1.2264[/C][C]0.111964[/C][/ROW]
[ROW][C]7[/C][C]0.078453[/C][C]0.6749[/C][C]0.250928[/C][/ROW]
[ROW][C]8[/C][C]-0.186469[/C][C]-1.6041[/C][C]0.056479[/C][/ROW]
[ROW][C]9[/C][C]-0.277587[/C][C]-2.3879[/C][C]0.009749[/C][/ROW]
[ROW][C]10[/C][C]-0.327214[/C][C]-2.8148[/C][C]0.003125[/C][/ROW]
[ROW][C]11[/C][C]-0.042595[/C][C]-0.3664[/C][C]0.357551[/C][/ROW]
[ROW][C]12[/C][C]0.045634[/C][C]0.3926[/C][C]0.347888[/C][/ROW]
[ROW][C]13[/C][C]0.128792[/C][C]1.1079[/C][C]0.135745[/C][/ROW]
[ROW][C]14[/C][C]-0.049167[/C][C]-0.423[/C][C]0.336779[/C][/ROW]
[ROW][C]15[/C][C]0.045044[/C][C]0.3875[/C][C]0.349757[/C][/ROW]
[ROW][C]16[/C][C]-0.049266[/C][C]-0.4238[/C][C]0.336469[/C][/ROW]
[ROW][C]17[/C][C]0.030424[/C][C]0.2617[/C][C]0.397134[/C][/ROW]
[ROW][C]18[/C][C]0.002206[/C][C]0.019[/C][C]0.492455[/C][/ROW]
[ROW][C]19[/C][C]-0.167744[/C][C]-1.443[/C][C]0.076622[/C][/ROW]
[ROW][C]20[/C][C]0.009539[/C][C]0.0821[/C][C]0.46741[/C][/ROW]
[ROW][C]21[/C][C]0.022659[/C][C]0.1949[/C][C]0.422994[/C][/ROW]
[ROW][C]22[/C][C]-0.014627[/C][C]-0.1258[/C][C]0.450105[/C][/ROW]
[ROW][C]23[/C][C]0.208854[/C][C]1.7966[/C][C]0.038237[/C][/ROW]
[ROW][C]24[/C][C]-0.073408[/C][C]-0.6315[/C][C]0.264836[/C][/ROW]
[ROW][C]25[/C][C]0.021578[/C][C]0.1856[/C][C]0.426626[/C][/ROW]
[ROW][C]26[/C][C]0.041683[/C][C]0.3586[/C][C]0.36047[/C][/ROW]
[ROW][C]27[/C][C]-0.16717[/C][C]-1.4381[/C][C]0.077318[/C][/ROW]
[ROW][C]28[/C][C]-0.016672[/C][C]-0.1434[/C][C]0.443177[/C][/ROW]
[ROW][C]29[/C][C]0.110112[/C][C]0.9472[/C][C]0.173306[/C][/ROW]
[ROW][C]30[/C][C]-0.225628[/C][C]-1.9409[/C][C]0.028038[/C][/ROW]
[ROW][C]31[/C][C]0.040914[/C][C]0.352[/C][C]0.362935[/C][/ROW]
[ROW][C]32[/C][C]-0.112738[/C][C]-0.9698[/C][C]0.16765[/C][/ROW]
[ROW][C]33[/C][C]0.088647[/C][C]0.7626[/C][C]0.224071[/C][/ROW]
[ROW][C]34[/C][C]0.040977[/C][C]0.3525[/C][C]0.362734[/C][/ROW]
[ROW][C]35[/C][C]-0.007491[/C][C]-0.0644[/C][C]0.474396[/C][/ROW]
[ROW][C]36[/C][C]0.048494[/C][C]0.4172[/C][C]0.338885[/C][/ROW]
[ROW][C]37[/C][C]0.015348[/C][C]0.132[/C][C]0.447659[/C][/ROW]
[ROW][C]38[/C][C]0.045632[/C][C]0.3925[/C][C]0.347894[/C][/ROW]
[ROW][C]39[/C][C]-0.027635[/C][C]-0.2377[/C][C]0.406377[/C][/ROW]
[ROW][C]40[/C][C]-0.002907[/C][C]-0.025[/C][C]0.490057[/C][/ROW]
[ROW][C]41[/C][C]-0.083886[/C][C]-0.7216[/C][C]0.236404[/C][/ROW]
[ROW][C]42[/C][C]-0.017692[/C][C]-0.1522[/C][C]0.439724[/C][/ROW]
[ROW][C]43[/C][C]0.01429[/C][C]0.1229[/C][C]0.451251[/C][/ROW]
[ROW][C]44[/C][C]0.014106[/C][C]0.1213[/C][C]0.451873[/C][/ROW]
[ROW][C]45[/C][C]0.051521[/C][C]0.4432[/C][C]0.329458[/C][/ROW]
[ROW][C]46[/C][C]-0.164374[/C][C]-1.414[/C][C]0.080777[/C][/ROW]
[ROW][C]47[/C][C]0.031112[/C][C]0.2676[/C][C]0.394861[/C][/ROW]
[ROW][C]48[/C][C]0.041282[/C][C]0.3551[/C][C]0.361753[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36337&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36337&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
10.8143517.00530
2-0.302332-2.60080.005613
3-0.292223-2.51380.007059
40.3706443.18840.001049
5-0.025325-0.21790.414072
6-0.142569-1.22640.111964
70.0784530.67490.250928
8-0.186469-1.60410.056479
9-0.277587-2.38790.009749
10-0.327214-2.81480.003125
11-0.042595-0.36640.357551
120.0456340.39260.347888
130.1287921.10790.135745
14-0.049167-0.4230.336779
150.0450440.38750.349757
16-0.049266-0.42380.336469
170.0304240.26170.397134
180.0022060.0190.492455
19-0.167744-1.4430.076622
200.0095390.08210.46741
210.0226590.19490.422994
22-0.014627-0.12580.450105
230.2088541.79660.038237
24-0.073408-0.63150.264836
250.0215780.18560.426626
260.0416830.35860.36047
27-0.16717-1.43810.077318
28-0.016672-0.14340.443177
290.1101120.94720.173306
30-0.225628-1.94090.028038
310.0409140.3520.362935
32-0.112738-0.96980.16765
330.0886470.76260.224071
340.0409770.35250.362734
35-0.007491-0.06440.474396
360.0484940.41720.338885
370.0153480.1320.447659
380.0456320.39250.347894
39-0.027635-0.23770.406377
40-0.002907-0.0250.490057
41-0.083886-0.72160.236404
42-0.017692-0.15220.439724
430.014290.12290.451251
440.0141060.12130.451873
450.0515210.44320.329458
46-0.164374-1.4140.080777
470.0311120.26760.394861
480.0412820.35510.361753



Parameters (Session):
par1 = 48 ; par2 = 1.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1.0 ; 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')