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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 12 Dec 2007 13:35:46 -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/Dec/12/t1197490934tj1in2g6qtxx0xm.htm/, Retrieved Thu, 02 May 2024 19:15:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3271, Retrieved Thu, 02 May 2024 19:15:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [verbetering ACF e...] [2007-12-12 20:35:46] [e1de87d26bd88c28cdef9ffadea7aeba] [Current]
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Dataseries X:
10.244
10.511
10.812
10.738
10.171
9.721
9.897
9.828
9.924
10.371
10.846
10.413
10.709
10.662
10.57
10.297
10.635
10.872
10.296
10.383
10.431
10.574
10.653
10.805
10.872
10.625
10.407
10.463
10.556
10.646
10.702
11.353
11.346
11.451
11.964
12.574
13.031
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.05
15.839
15.137
14.954
15.648
15.305
15.579
16.348
15.928
16.171
15.937
15.713
15.594
15.683
16.438
17.032




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=3271&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=3271&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3271&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
017.68110
1-0.096616-0.74210.769521
2-0.075686-0.58140.718393
30.3080722.36630.010633
40.0101040.07760.469201
5-0.276922-2.12710.981198
60.0688420.52880.299468
70.1583841.21660.114306
8-0.178814-1.37350.912602
90.0253530.19470.423133
100.0312050.23970.405702
110.0293240.22520.411286
12-0.17268-1.32640.905088
13-0.031273-0.24020.5945
140.0424430.3260.372784
15-0.1225-0.94090.824715
16-0.138573-1.06440.854258
170.04840.37180.355698
18-0.016468-0.12650.550115
19-0.045491-0.34940.635993
200.0108270.08320.467002
210.0714950.54920.292484
220.0551370.42350.336731
23-0.060527-0.46490.67815
24-0.052141-0.40050.654883
250.1297890.99690.161434
26-0.096383-0.74030.768982
27-0.033779-0.25950.60191
280.1151160.88420.190083
290.0432590.33230.370427
30-0.074782-0.57440.716063
31-0.051572-0.39610.653283
320.0990660.76090.224861
33-0.18243-1.40130.916814
34-0.052577-0.40390.656108
350.0273690.21020.417109
36-0.005085-0.03910.515514
37-0.129942-0.99810.838847
380.0572470.43970.330873
390.0847290.65080.258846
40-0.037061-0.28470.611553
410.0544470.41820.338654
420.0681890.52380.3012
43-0.005974-0.04590.518223
44-0.045772-0.35160.636799
45-0.017844-0.13710.554277
46-0.037656-0.28920.613294
47-0.031949-0.24540.596503

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.6811 & 0 \tabularnewline
1 & -0.096616 & -0.7421 & 0.769521 \tabularnewline
2 & -0.075686 & -0.5814 & 0.718393 \tabularnewline
3 & 0.308072 & 2.3663 & 0.010633 \tabularnewline
4 & 0.010104 & 0.0776 & 0.469201 \tabularnewline
5 & -0.276922 & -2.1271 & 0.981198 \tabularnewline
6 & 0.068842 & 0.5288 & 0.299468 \tabularnewline
7 & 0.158384 & 1.2166 & 0.114306 \tabularnewline
8 & -0.178814 & -1.3735 & 0.912602 \tabularnewline
9 & 0.025353 & 0.1947 & 0.423133 \tabularnewline
10 & 0.031205 & 0.2397 & 0.405702 \tabularnewline
11 & 0.029324 & 0.2252 & 0.411286 \tabularnewline
12 & -0.17268 & -1.3264 & 0.905088 \tabularnewline
13 & -0.031273 & -0.2402 & 0.5945 \tabularnewline
14 & 0.042443 & 0.326 & 0.372784 \tabularnewline
15 & -0.1225 & -0.9409 & 0.824715 \tabularnewline
16 & -0.138573 & -1.0644 & 0.854258 \tabularnewline
17 & 0.0484 & 0.3718 & 0.355698 \tabularnewline
18 & -0.016468 & -0.1265 & 0.550115 \tabularnewline
19 & -0.045491 & -0.3494 & 0.635993 \tabularnewline
20 & 0.010827 & 0.0832 & 0.467002 \tabularnewline
21 & 0.071495 & 0.5492 & 0.292484 \tabularnewline
22 & 0.055137 & 0.4235 & 0.336731 \tabularnewline
23 & -0.060527 & -0.4649 & 0.67815 \tabularnewline
24 & -0.052141 & -0.4005 & 0.654883 \tabularnewline
25 & 0.129789 & 0.9969 & 0.161434 \tabularnewline
26 & -0.096383 & -0.7403 & 0.768982 \tabularnewline
27 & -0.033779 & -0.2595 & 0.60191 \tabularnewline
28 & 0.115116 & 0.8842 & 0.190083 \tabularnewline
29 & 0.043259 & 0.3323 & 0.370427 \tabularnewline
30 & -0.074782 & -0.5744 & 0.716063 \tabularnewline
31 & -0.051572 & -0.3961 & 0.653283 \tabularnewline
32 & 0.099066 & 0.7609 & 0.224861 \tabularnewline
33 & -0.18243 & -1.4013 & 0.916814 \tabularnewline
34 & -0.052577 & -0.4039 & 0.656108 \tabularnewline
35 & 0.027369 & 0.2102 & 0.417109 \tabularnewline
36 & -0.005085 & -0.0391 & 0.515514 \tabularnewline
37 & -0.129942 & -0.9981 & 0.838847 \tabularnewline
38 & 0.057247 & 0.4397 & 0.330873 \tabularnewline
39 & 0.084729 & 0.6508 & 0.258846 \tabularnewline
40 & -0.037061 & -0.2847 & 0.611553 \tabularnewline
41 & 0.054447 & 0.4182 & 0.338654 \tabularnewline
42 & 0.068189 & 0.5238 & 0.3012 \tabularnewline
43 & -0.005974 & -0.0459 & 0.518223 \tabularnewline
44 & -0.045772 & -0.3516 & 0.636799 \tabularnewline
45 & -0.017844 & -0.1371 & 0.554277 \tabularnewline
46 & -0.037656 & -0.2892 & 0.613294 \tabularnewline
47 & -0.031949 & -0.2454 & 0.596503 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3271&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]7.6811[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.096616[/C][C]-0.7421[/C][C]0.769521[/C][/ROW]
[ROW][C]2[/C][C]-0.075686[/C][C]-0.5814[/C][C]0.718393[/C][/ROW]
[ROW][C]3[/C][C]0.308072[/C][C]2.3663[/C][C]0.010633[/C][/ROW]
[ROW][C]4[/C][C]0.010104[/C][C]0.0776[/C][C]0.469201[/C][/ROW]
[ROW][C]5[/C][C]-0.276922[/C][C]-2.1271[/C][C]0.981198[/C][/ROW]
[ROW][C]6[/C][C]0.068842[/C][C]0.5288[/C][C]0.299468[/C][/ROW]
[ROW][C]7[/C][C]0.158384[/C][C]1.2166[/C][C]0.114306[/C][/ROW]
[ROW][C]8[/C][C]-0.178814[/C][C]-1.3735[/C][C]0.912602[/C][/ROW]
[ROW][C]9[/C][C]0.025353[/C][C]0.1947[/C][C]0.423133[/C][/ROW]
[ROW][C]10[/C][C]0.031205[/C][C]0.2397[/C][C]0.405702[/C][/ROW]
[ROW][C]11[/C][C]0.029324[/C][C]0.2252[/C][C]0.411286[/C][/ROW]
[ROW][C]12[/C][C]-0.17268[/C][C]-1.3264[/C][C]0.905088[/C][/ROW]
[ROW][C]13[/C][C]-0.031273[/C][C]-0.2402[/C][C]0.5945[/C][/ROW]
[ROW][C]14[/C][C]0.042443[/C][C]0.326[/C][C]0.372784[/C][/ROW]
[ROW][C]15[/C][C]-0.1225[/C][C]-0.9409[/C][C]0.824715[/C][/ROW]
[ROW][C]16[/C][C]-0.138573[/C][C]-1.0644[/C][C]0.854258[/C][/ROW]
[ROW][C]17[/C][C]0.0484[/C][C]0.3718[/C][C]0.355698[/C][/ROW]
[ROW][C]18[/C][C]-0.016468[/C][C]-0.1265[/C][C]0.550115[/C][/ROW]
[ROW][C]19[/C][C]-0.045491[/C][C]-0.3494[/C][C]0.635993[/C][/ROW]
[ROW][C]20[/C][C]0.010827[/C][C]0.0832[/C][C]0.467002[/C][/ROW]
[ROW][C]21[/C][C]0.071495[/C][C]0.5492[/C][C]0.292484[/C][/ROW]
[ROW][C]22[/C][C]0.055137[/C][C]0.4235[/C][C]0.336731[/C][/ROW]
[ROW][C]23[/C][C]-0.060527[/C][C]-0.4649[/C][C]0.67815[/C][/ROW]
[ROW][C]24[/C][C]-0.052141[/C][C]-0.4005[/C][C]0.654883[/C][/ROW]
[ROW][C]25[/C][C]0.129789[/C][C]0.9969[/C][C]0.161434[/C][/ROW]
[ROW][C]26[/C][C]-0.096383[/C][C]-0.7403[/C][C]0.768982[/C][/ROW]
[ROW][C]27[/C][C]-0.033779[/C][C]-0.2595[/C][C]0.60191[/C][/ROW]
[ROW][C]28[/C][C]0.115116[/C][C]0.8842[/C][C]0.190083[/C][/ROW]
[ROW][C]29[/C][C]0.043259[/C][C]0.3323[/C][C]0.370427[/C][/ROW]
[ROW][C]30[/C][C]-0.074782[/C][C]-0.5744[/C][C]0.716063[/C][/ROW]
[ROW][C]31[/C][C]-0.051572[/C][C]-0.3961[/C][C]0.653283[/C][/ROW]
[ROW][C]32[/C][C]0.099066[/C][C]0.7609[/C][C]0.224861[/C][/ROW]
[ROW][C]33[/C][C]-0.18243[/C][C]-1.4013[/C][C]0.916814[/C][/ROW]
[ROW][C]34[/C][C]-0.052577[/C][C]-0.4039[/C][C]0.656108[/C][/ROW]
[ROW][C]35[/C][C]0.027369[/C][C]0.2102[/C][C]0.417109[/C][/ROW]
[ROW][C]36[/C][C]-0.005085[/C][C]-0.0391[/C][C]0.515514[/C][/ROW]
[ROW][C]37[/C][C]-0.129942[/C][C]-0.9981[/C][C]0.838847[/C][/ROW]
[ROW][C]38[/C][C]0.057247[/C][C]0.4397[/C][C]0.330873[/C][/ROW]
[ROW][C]39[/C][C]0.084729[/C][C]0.6508[/C][C]0.258846[/C][/ROW]
[ROW][C]40[/C][C]-0.037061[/C][C]-0.2847[/C][C]0.611553[/C][/ROW]
[ROW][C]41[/C][C]0.054447[/C][C]0.4182[/C][C]0.338654[/C][/ROW]
[ROW][C]42[/C][C]0.068189[/C][C]0.5238[/C][C]0.3012[/C][/ROW]
[ROW][C]43[/C][C]-0.005974[/C][C]-0.0459[/C][C]0.518223[/C][/ROW]
[ROW][C]44[/C][C]-0.045772[/C][C]-0.3516[/C][C]0.636799[/C][/ROW]
[ROW][C]45[/C][C]-0.017844[/C][C]-0.1371[/C][C]0.554277[/C][/ROW]
[ROW][C]46[/C][C]-0.037656[/C][C]-0.2892[/C][C]0.613294[/C][/ROW]
[ROW][C]47[/C][C]-0.031949[/C][C]-0.2454[/C][C]0.596503[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3271&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3271&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
017.68110
1-0.096616-0.74210.769521
2-0.075686-0.58140.718393
30.3080722.36630.010633
40.0101040.07760.469201
5-0.276922-2.12710.981198
60.0688420.52880.299468
70.1583841.21660.114306
8-0.178814-1.37350.912602
90.0253530.19470.423133
100.0312050.23970.405702
110.0293240.22520.411286
12-0.17268-1.32640.905088
13-0.031273-0.24020.5945
140.0424430.3260.372784
15-0.1225-0.94090.824715
16-0.138573-1.06440.854258
170.04840.37180.355698
18-0.016468-0.12650.550115
19-0.045491-0.34940.635993
200.0108270.08320.467002
210.0714950.54920.292484
220.0551370.42350.336731
23-0.060527-0.46490.67815
24-0.052141-0.40050.654883
250.1297890.99690.161434
26-0.096383-0.74030.768982
27-0.033779-0.25950.60191
280.1151160.88420.190083
290.0432590.33230.370427
30-0.074782-0.57440.716063
31-0.051572-0.39610.653283
320.0990660.76090.224861
33-0.18243-1.40130.916814
34-0.052577-0.40390.656108
350.0273690.21020.417109
36-0.005085-0.03910.515514
37-0.129942-0.99810.838847
380.0572470.43970.330873
390.0847290.65080.258846
40-0.037061-0.28470.611553
410.0544470.41820.338654
420.0681890.52380.3012
43-0.005974-0.04590.518223
44-0.045772-0.35160.636799
45-0.017844-0.13710.554277
46-0.037656-0.28920.613294
47-0.031949-0.24540.596503







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.096616-0.74210.769521
1-0.085822-0.65920.743838
20.2967762.27960.013132
30.0659160.50630.307263
4-0.258671-1.98690.974208
5-0.078064-0.59960.724472
60.1569441.20550.116409
70.0105350.08090.467888
80.0119420.09170.463614
9-0.153225-1.17690.878027
100.090070.69180.245876
11-0.09955-0.76470.776238
12-0.096797-0.74350.769939
13-0.020963-0.1610.563687
14-0.03006-0.23090.590901
15-0.116868-0.89770.813497
16-0.049161-0.37760.646464
17-0.034638-0.26610.60444
180.1241710.95380.172044
19-0.054758-0.42060.662214
20-0.004049-0.03110.512352
210.0840720.64580.260465
22-0.003895-0.02990.511883
23-0.151088-1.16050.874746
240.0664160.51010.305926
25-0.038399-0.2950.615467
260.0713960.54840.292742
27-0.068151-0.52350.698699
280.0412250.31670.37631
290.0029570.02270.490979
30-0.159826-1.22760.887773
31-0.01306-0.10030.539783
32-0.090458-0.69480.755052
33-0.000348-0.00270.501062
34-0.021103-0.16210.564109
35-0.058779-0.45150.673353
36-0.023023-0.17680.56988
370.0200390.15390.439098
380.0109710.08430.466563
390.0924470.71010.24022
400.0461620.35460.362085
410.003490.02680.489353
42-0.062339-0.47880.683086
43-0.022813-0.17520.569251
44-0.046992-0.3610.640288
45-0.082391-0.63290.735363
46-0.095294-0.7320.766458
470.0480220.36890.356775

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.096616 & -0.7421 & 0.769521 \tabularnewline
1 & -0.085822 & -0.6592 & 0.743838 \tabularnewline
2 & 0.296776 & 2.2796 & 0.013132 \tabularnewline
3 & 0.065916 & 0.5063 & 0.307263 \tabularnewline
4 & -0.258671 & -1.9869 & 0.974208 \tabularnewline
5 & -0.078064 & -0.5996 & 0.724472 \tabularnewline
6 & 0.156944 & 1.2055 & 0.116409 \tabularnewline
7 & 0.010535 & 0.0809 & 0.467888 \tabularnewline
8 & 0.011942 & 0.0917 & 0.463614 \tabularnewline
9 & -0.153225 & -1.1769 & 0.878027 \tabularnewline
10 & 0.09007 & 0.6918 & 0.245876 \tabularnewline
11 & -0.09955 & -0.7647 & 0.776238 \tabularnewline
12 & -0.096797 & -0.7435 & 0.769939 \tabularnewline
13 & -0.020963 & -0.161 & 0.563687 \tabularnewline
14 & -0.03006 & -0.2309 & 0.590901 \tabularnewline
15 & -0.116868 & -0.8977 & 0.813497 \tabularnewline
16 & -0.049161 & -0.3776 & 0.646464 \tabularnewline
17 & -0.034638 & -0.2661 & 0.60444 \tabularnewline
18 & 0.124171 & 0.9538 & 0.172044 \tabularnewline
19 & -0.054758 & -0.4206 & 0.662214 \tabularnewline
20 & -0.004049 & -0.0311 & 0.512352 \tabularnewline
21 & 0.084072 & 0.6458 & 0.260465 \tabularnewline
22 & -0.003895 & -0.0299 & 0.511883 \tabularnewline
23 & -0.151088 & -1.1605 & 0.874746 \tabularnewline
24 & 0.066416 & 0.5101 & 0.305926 \tabularnewline
25 & -0.038399 & -0.295 & 0.615467 \tabularnewline
26 & 0.071396 & 0.5484 & 0.292742 \tabularnewline
27 & -0.068151 & -0.5235 & 0.698699 \tabularnewline
28 & 0.041225 & 0.3167 & 0.37631 \tabularnewline
29 & 0.002957 & 0.0227 & 0.490979 \tabularnewline
30 & -0.159826 & -1.2276 & 0.887773 \tabularnewline
31 & -0.01306 & -0.1003 & 0.539783 \tabularnewline
32 & -0.090458 & -0.6948 & 0.755052 \tabularnewline
33 & -0.000348 & -0.0027 & 0.501062 \tabularnewline
34 & -0.021103 & -0.1621 & 0.564109 \tabularnewline
35 & -0.058779 & -0.4515 & 0.673353 \tabularnewline
36 & -0.023023 & -0.1768 & 0.56988 \tabularnewline
37 & 0.020039 & 0.1539 & 0.439098 \tabularnewline
38 & 0.010971 & 0.0843 & 0.466563 \tabularnewline
39 & 0.092447 & 0.7101 & 0.24022 \tabularnewline
40 & 0.046162 & 0.3546 & 0.362085 \tabularnewline
41 & 0.00349 & 0.0268 & 0.489353 \tabularnewline
42 & -0.062339 & -0.4788 & 0.683086 \tabularnewline
43 & -0.022813 & -0.1752 & 0.569251 \tabularnewline
44 & -0.046992 & -0.361 & 0.640288 \tabularnewline
45 & -0.082391 & -0.6329 & 0.735363 \tabularnewline
46 & -0.095294 & -0.732 & 0.766458 \tabularnewline
47 & 0.048022 & 0.3689 & 0.356775 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3271&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]-0.096616[/C][C]-0.7421[/C][C]0.769521[/C][/ROW]
[ROW][C]1[/C][C]-0.085822[/C][C]-0.6592[/C][C]0.743838[/C][/ROW]
[ROW][C]2[/C][C]0.296776[/C][C]2.2796[/C][C]0.013132[/C][/ROW]
[ROW][C]3[/C][C]0.065916[/C][C]0.5063[/C][C]0.307263[/C][/ROW]
[ROW][C]4[/C][C]-0.258671[/C][C]-1.9869[/C][C]0.974208[/C][/ROW]
[ROW][C]5[/C][C]-0.078064[/C][C]-0.5996[/C][C]0.724472[/C][/ROW]
[ROW][C]6[/C][C]0.156944[/C][C]1.2055[/C][C]0.116409[/C][/ROW]
[ROW][C]7[/C][C]0.010535[/C][C]0.0809[/C][C]0.467888[/C][/ROW]
[ROW][C]8[/C][C]0.011942[/C][C]0.0917[/C][C]0.463614[/C][/ROW]
[ROW][C]9[/C][C]-0.153225[/C][C]-1.1769[/C][C]0.878027[/C][/ROW]
[ROW][C]10[/C][C]0.09007[/C][C]0.6918[/C][C]0.245876[/C][/ROW]
[ROW][C]11[/C][C]-0.09955[/C][C]-0.7647[/C][C]0.776238[/C][/ROW]
[ROW][C]12[/C][C]-0.096797[/C][C]-0.7435[/C][C]0.769939[/C][/ROW]
[ROW][C]13[/C][C]-0.020963[/C][C]-0.161[/C][C]0.563687[/C][/ROW]
[ROW][C]14[/C][C]-0.03006[/C][C]-0.2309[/C][C]0.590901[/C][/ROW]
[ROW][C]15[/C][C]-0.116868[/C][C]-0.8977[/C][C]0.813497[/C][/ROW]
[ROW][C]16[/C][C]-0.049161[/C][C]-0.3776[/C][C]0.646464[/C][/ROW]
[ROW][C]17[/C][C]-0.034638[/C][C]-0.2661[/C][C]0.60444[/C][/ROW]
[ROW][C]18[/C][C]0.124171[/C][C]0.9538[/C][C]0.172044[/C][/ROW]
[ROW][C]19[/C][C]-0.054758[/C][C]-0.4206[/C][C]0.662214[/C][/ROW]
[ROW][C]20[/C][C]-0.004049[/C][C]-0.0311[/C][C]0.512352[/C][/ROW]
[ROW][C]21[/C][C]0.084072[/C][C]0.6458[/C][C]0.260465[/C][/ROW]
[ROW][C]22[/C][C]-0.003895[/C][C]-0.0299[/C][C]0.511883[/C][/ROW]
[ROW][C]23[/C][C]-0.151088[/C][C]-1.1605[/C][C]0.874746[/C][/ROW]
[ROW][C]24[/C][C]0.066416[/C][C]0.5101[/C][C]0.305926[/C][/ROW]
[ROW][C]25[/C][C]-0.038399[/C][C]-0.295[/C][C]0.615467[/C][/ROW]
[ROW][C]26[/C][C]0.071396[/C][C]0.5484[/C][C]0.292742[/C][/ROW]
[ROW][C]27[/C][C]-0.068151[/C][C]-0.5235[/C][C]0.698699[/C][/ROW]
[ROW][C]28[/C][C]0.041225[/C][C]0.3167[/C][C]0.37631[/C][/ROW]
[ROW][C]29[/C][C]0.002957[/C][C]0.0227[/C][C]0.490979[/C][/ROW]
[ROW][C]30[/C][C]-0.159826[/C][C]-1.2276[/C][C]0.887773[/C][/ROW]
[ROW][C]31[/C][C]-0.01306[/C][C]-0.1003[/C][C]0.539783[/C][/ROW]
[ROW][C]32[/C][C]-0.090458[/C][C]-0.6948[/C][C]0.755052[/C][/ROW]
[ROW][C]33[/C][C]-0.000348[/C][C]-0.0027[/C][C]0.501062[/C][/ROW]
[ROW][C]34[/C][C]-0.021103[/C][C]-0.1621[/C][C]0.564109[/C][/ROW]
[ROW][C]35[/C][C]-0.058779[/C][C]-0.4515[/C][C]0.673353[/C][/ROW]
[ROW][C]36[/C][C]-0.023023[/C][C]-0.1768[/C][C]0.56988[/C][/ROW]
[ROW][C]37[/C][C]0.020039[/C][C]0.1539[/C][C]0.439098[/C][/ROW]
[ROW][C]38[/C][C]0.010971[/C][C]0.0843[/C][C]0.466563[/C][/ROW]
[ROW][C]39[/C][C]0.092447[/C][C]0.7101[/C][C]0.24022[/C][/ROW]
[ROW][C]40[/C][C]0.046162[/C][C]0.3546[/C][C]0.362085[/C][/ROW]
[ROW][C]41[/C][C]0.00349[/C][C]0.0268[/C][C]0.489353[/C][/ROW]
[ROW][C]42[/C][C]-0.062339[/C][C]-0.4788[/C][C]0.683086[/C][/ROW]
[ROW][C]43[/C][C]-0.022813[/C][C]-0.1752[/C][C]0.569251[/C][/ROW]
[ROW][C]44[/C][C]-0.046992[/C][C]-0.361[/C][C]0.640288[/C][/ROW]
[ROW][C]45[/C][C]-0.082391[/C][C]-0.6329[/C][C]0.735363[/C][/ROW]
[ROW][C]46[/C][C]-0.095294[/C][C]-0.732[/C][C]0.766458[/C][/ROW]
[ROW][C]47[/C][C]0.048022[/C][C]0.3689[/C][C]0.356775[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3271&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3271&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
0-0.096616-0.74210.769521
1-0.085822-0.65920.743838
20.2967762.27960.013132
30.0659160.50630.307263
4-0.258671-1.98690.974208
5-0.078064-0.59960.724472
60.1569441.20550.116409
70.0105350.08090.467888
80.0119420.09170.463614
9-0.153225-1.17690.878027
100.090070.69180.245876
11-0.09955-0.76470.776238
12-0.096797-0.74350.769939
13-0.020963-0.1610.563687
14-0.03006-0.23090.590901
15-0.116868-0.89770.813497
16-0.049161-0.37760.646464
17-0.034638-0.26610.60444
180.1241710.95380.172044
19-0.054758-0.42060.662214
20-0.004049-0.03110.512352
210.0840720.64580.260465
22-0.003895-0.02990.511883
23-0.151088-1.16050.874746
240.0664160.51010.305926
25-0.038399-0.2950.615467
260.0713960.54840.292742
27-0.068151-0.52350.698699
280.0412250.31670.37631
290.0029570.02270.490979
30-0.159826-1.22760.887773
31-0.01306-0.10030.539783
32-0.090458-0.69480.755052
33-0.000348-0.00270.501062
34-0.021103-0.16210.564109
35-0.058779-0.45150.673353
36-0.023023-0.17680.56988
370.0200390.15390.439098
380.0109710.08430.466563
390.0924470.71010.24022
400.0461620.35460.362085
410.003490.02680.489353
42-0.062339-0.47880.683086
43-0.022813-0.17520.569251
44-0.046992-0.3610.640288
45-0.082391-0.63290.735363
46-0.095294-0.7320.766458
470.0480220.36890.356775



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
R code (references can be found in the software module):
if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 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')