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Description of Statistical Computation

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 computationSun, 18 Dec 2016 15:25:59 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/18/t148207118452mepiueng9kxlc.htm/, Retrieved Wed, 08 May 2024 17:47:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301106, Retrieved Wed, 08 May 2024 17:47:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(partial) autocor...] [2016-12-18 14:25:59] [cedc5386ad7644fa02c81dc221bdf6b7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301106&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301106&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301106&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.457572-5.29680
2-0.055043-0.63720.262553
3-0.047505-0.54990.291647
40.1324331.5330.063814
5-0.110086-1.27430.102375
60.050.57880.281849
7-0.024931-0.28860.386667
80.0399610.46260.322206
9-0.112476-1.3020.097574
100.2275112.63360.004721
11-0.125015-1.44720.075094
12-0.067549-0.78190.217816
13-0.07505-0.86880.193264
140.1500031.73640.042394
150.0724220.83840.201664
16-0.132481-1.53360.063745
170.0449940.52080.301668
18-0.030012-0.34740.364412
19-0.027513-0.31850.375308
200.1349991.56270.060238
21-0.029865-0.34570.365052
22-0.130134-1.50640.067158
230.0924941.07070.143115
24-0.01994-0.23080.408901
250.0325260.37650.353565
26-0.082558-0.95570.170478
270.0225240.26070.397349
280.0523760.60630.272671
29-0.002554-0.02960.488231
300.0249110.28840.386758
31-0.107563-1.24510.107629
320.0771520.89310.186702
33-0.075024-0.86850.193346
340.0325210.37650.353587
350.0675230.78160.217904
36-0.024985-0.28920.386431
370.0049420.05720.47723
38-0.032561-0.37690.353415
390.0375560.43470.332226
40-0.020061-0.23220.408359
41-0.085066-0.98470.163269
420.144951.67790.047847
43-0.084993-0.98390.163478
440.0125880.14570.44218
450.0299030.34610.364888
460.042440.49130.312016
47-0.137574-1.59250.056811
480.052440.6070.272427

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.457572 & -5.2968 & 0 \tabularnewline
2 & -0.055043 & -0.6372 & 0.262553 \tabularnewline
3 & -0.047505 & -0.5499 & 0.291647 \tabularnewline
4 & 0.132433 & 1.533 & 0.063814 \tabularnewline
5 & -0.110086 & -1.2743 & 0.102375 \tabularnewline
6 & 0.05 & 0.5788 & 0.281849 \tabularnewline
7 & -0.024931 & -0.2886 & 0.386667 \tabularnewline
8 & 0.039961 & 0.4626 & 0.322206 \tabularnewline
9 & -0.112476 & -1.302 & 0.097574 \tabularnewline
10 & 0.227511 & 2.6336 & 0.004721 \tabularnewline
11 & -0.125015 & -1.4472 & 0.075094 \tabularnewline
12 & -0.067549 & -0.7819 & 0.217816 \tabularnewline
13 & -0.07505 & -0.8688 & 0.193264 \tabularnewline
14 & 0.150003 & 1.7364 & 0.042394 \tabularnewline
15 & 0.072422 & 0.8384 & 0.201664 \tabularnewline
16 & -0.132481 & -1.5336 & 0.063745 \tabularnewline
17 & 0.044994 & 0.5208 & 0.301668 \tabularnewline
18 & -0.030012 & -0.3474 & 0.364412 \tabularnewline
19 & -0.027513 & -0.3185 & 0.375308 \tabularnewline
20 & 0.134999 & 1.5627 & 0.060238 \tabularnewline
21 & -0.029865 & -0.3457 & 0.365052 \tabularnewline
22 & -0.130134 & -1.5064 & 0.067158 \tabularnewline
23 & 0.092494 & 1.0707 & 0.143115 \tabularnewline
24 & -0.01994 & -0.2308 & 0.408901 \tabularnewline
25 & 0.032526 & 0.3765 & 0.353565 \tabularnewline
26 & -0.082558 & -0.9557 & 0.170478 \tabularnewline
27 & 0.022524 & 0.2607 & 0.397349 \tabularnewline
28 & 0.052376 & 0.6063 & 0.272671 \tabularnewline
29 & -0.002554 & -0.0296 & 0.488231 \tabularnewline
30 & 0.024911 & 0.2884 & 0.386758 \tabularnewline
31 & -0.107563 & -1.2451 & 0.107629 \tabularnewline
32 & 0.077152 & 0.8931 & 0.186702 \tabularnewline
33 & -0.075024 & -0.8685 & 0.193346 \tabularnewline
34 & 0.032521 & 0.3765 & 0.353587 \tabularnewline
35 & 0.067523 & 0.7816 & 0.217904 \tabularnewline
36 & -0.024985 & -0.2892 & 0.386431 \tabularnewline
37 & 0.004942 & 0.0572 & 0.47723 \tabularnewline
38 & -0.032561 & -0.3769 & 0.353415 \tabularnewline
39 & 0.037556 & 0.4347 & 0.332226 \tabularnewline
40 & -0.020061 & -0.2322 & 0.408359 \tabularnewline
41 & -0.085066 & -0.9847 & 0.163269 \tabularnewline
42 & 0.14495 & 1.6779 & 0.047847 \tabularnewline
43 & -0.084993 & -0.9839 & 0.163478 \tabularnewline
44 & 0.012588 & 0.1457 & 0.44218 \tabularnewline
45 & 0.029903 & 0.3461 & 0.364888 \tabularnewline
46 & 0.04244 & 0.4913 & 0.312016 \tabularnewline
47 & -0.137574 & -1.5925 & 0.056811 \tabularnewline
48 & 0.05244 & 0.607 & 0.272427 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301106&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]-0.457572[/C][C]-5.2968[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.055043[/C][C]-0.6372[/C][C]0.262553[/C][/ROW]
[ROW][C]3[/C][C]-0.047505[/C][C]-0.5499[/C][C]0.291647[/C][/ROW]
[ROW][C]4[/C][C]0.132433[/C][C]1.533[/C][C]0.063814[/C][/ROW]
[ROW][C]5[/C][C]-0.110086[/C][C]-1.2743[/C][C]0.102375[/C][/ROW]
[ROW][C]6[/C][C]0.05[/C][C]0.5788[/C][C]0.281849[/C][/ROW]
[ROW][C]7[/C][C]-0.024931[/C][C]-0.2886[/C][C]0.386667[/C][/ROW]
[ROW][C]8[/C][C]0.039961[/C][C]0.4626[/C][C]0.322206[/C][/ROW]
[ROW][C]9[/C][C]-0.112476[/C][C]-1.302[/C][C]0.097574[/C][/ROW]
[ROW][C]10[/C][C]0.227511[/C][C]2.6336[/C][C]0.004721[/C][/ROW]
[ROW][C]11[/C][C]-0.125015[/C][C]-1.4472[/C][C]0.075094[/C][/ROW]
[ROW][C]12[/C][C]-0.067549[/C][C]-0.7819[/C][C]0.217816[/C][/ROW]
[ROW][C]13[/C][C]-0.07505[/C][C]-0.8688[/C][C]0.193264[/C][/ROW]
[ROW][C]14[/C][C]0.150003[/C][C]1.7364[/C][C]0.042394[/C][/ROW]
[ROW][C]15[/C][C]0.072422[/C][C]0.8384[/C][C]0.201664[/C][/ROW]
[ROW][C]16[/C][C]-0.132481[/C][C]-1.5336[/C][C]0.063745[/C][/ROW]
[ROW][C]17[/C][C]0.044994[/C][C]0.5208[/C][C]0.301668[/C][/ROW]
[ROW][C]18[/C][C]-0.030012[/C][C]-0.3474[/C][C]0.364412[/C][/ROW]
[ROW][C]19[/C][C]-0.027513[/C][C]-0.3185[/C][C]0.375308[/C][/ROW]
[ROW][C]20[/C][C]0.134999[/C][C]1.5627[/C][C]0.060238[/C][/ROW]
[ROW][C]21[/C][C]-0.029865[/C][C]-0.3457[/C][C]0.365052[/C][/ROW]
[ROW][C]22[/C][C]-0.130134[/C][C]-1.5064[/C][C]0.067158[/C][/ROW]
[ROW][C]23[/C][C]0.092494[/C][C]1.0707[/C][C]0.143115[/C][/ROW]
[ROW][C]24[/C][C]-0.01994[/C][C]-0.2308[/C][C]0.408901[/C][/ROW]
[ROW][C]25[/C][C]0.032526[/C][C]0.3765[/C][C]0.353565[/C][/ROW]
[ROW][C]26[/C][C]-0.082558[/C][C]-0.9557[/C][C]0.170478[/C][/ROW]
[ROW][C]27[/C][C]0.022524[/C][C]0.2607[/C][C]0.397349[/C][/ROW]
[ROW][C]28[/C][C]0.052376[/C][C]0.6063[/C][C]0.272671[/C][/ROW]
[ROW][C]29[/C][C]-0.002554[/C][C]-0.0296[/C][C]0.488231[/C][/ROW]
[ROW][C]30[/C][C]0.024911[/C][C]0.2884[/C][C]0.386758[/C][/ROW]
[ROW][C]31[/C][C]-0.107563[/C][C]-1.2451[/C][C]0.107629[/C][/ROW]
[ROW][C]32[/C][C]0.077152[/C][C]0.8931[/C][C]0.186702[/C][/ROW]
[ROW][C]33[/C][C]-0.075024[/C][C]-0.8685[/C][C]0.193346[/C][/ROW]
[ROW][C]34[/C][C]0.032521[/C][C]0.3765[/C][C]0.353587[/C][/ROW]
[ROW][C]35[/C][C]0.067523[/C][C]0.7816[/C][C]0.217904[/C][/ROW]
[ROW][C]36[/C][C]-0.024985[/C][C]-0.2892[/C][C]0.386431[/C][/ROW]
[ROW][C]37[/C][C]0.004942[/C][C]0.0572[/C][C]0.47723[/C][/ROW]
[ROW][C]38[/C][C]-0.032561[/C][C]-0.3769[/C][C]0.353415[/C][/ROW]
[ROW][C]39[/C][C]0.037556[/C][C]0.4347[/C][C]0.332226[/C][/ROW]
[ROW][C]40[/C][C]-0.020061[/C][C]-0.2322[/C][C]0.408359[/C][/ROW]
[ROW][C]41[/C][C]-0.085066[/C][C]-0.9847[/C][C]0.163269[/C][/ROW]
[ROW][C]42[/C][C]0.14495[/C][C]1.6779[/C][C]0.047847[/C][/ROW]
[ROW][C]43[/C][C]-0.084993[/C][C]-0.9839[/C][C]0.163478[/C][/ROW]
[ROW][C]44[/C][C]0.012588[/C][C]0.1457[/C][C]0.44218[/C][/ROW]
[ROW][C]45[/C][C]0.029903[/C][C]0.3461[/C][C]0.364888[/C][/ROW]
[ROW][C]46[/C][C]0.04244[/C][C]0.4913[/C][C]0.312016[/C][/ROW]
[ROW][C]47[/C][C]-0.137574[/C][C]-1.5925[/C][C]0.056811[/C][/ROW]
[ROW][C]48[/C][C]0.05244[/C][C]0.607[/C][C]0.272427[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301106&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301106&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.457572-5.29680
2-0.055043-0.63720.262553
3-0.047505-0.54990.291647
40.1324331.5330.063814
5-0.110086-1.27430.102375
60.050.57880.281849
7-0.024931-0.28860.386667
80.0399610.46260.322206
9-0.112476-1.3020.097574
100.2275112.63360.004721
11-0.125015-1.44720.075094
12-0.067549-0.78190.217816
13-0.07505-0.86880.193264
140.1500031.73640.042394
150.0724220.83840.201664
16-0.132481-1.53360.063745
170.0449940.52080.301668
18-0.030012-0.34740.364412
19-0.027513-0.31850.375308
200.1349991.56270.060238
21-0.029865-0.34570.365052
22-0.130134-1.50640.067158
230.0924941.07070.143115
24-0.01994-0.23080.408901
250.0325260.37650.353565
26-0.082558-0.95570.170478
270.0225240.26070.397349
280.0523760.60630.272671
29-0.002554-0.02960.488231
300.0249110.28840.386758
31-0.107563-1.24510.107629
320.0771520.89310.186702
33-0.075024-0.86850.193346
340.0325210.37650.353587
350.0675230.78160.217904
36-0.024985-0.28920.386431
370.0049420.05720.47723
38-0.032561-0.37690.353415
390.0375560.43470.332226
40-0.020061-0.23220.408359
41-0.085066-0.98470.163269
420.144951.67790.047847
43-0.084993-0.98390.163478
440.0125880.14570.44218
450.0299030.34610.364888
460.042440.49130.312016
47-0.137574-1.59250.056811
480.052440.6070.272427






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.457572-5.29680
2-0.334436-3.87148.4e-05
3-0.333443-3.85998.8e-05
4-0.134685-1.55910.060667
5-0.200461-2.32050.010912
6-0.134316-1.55480.061173
7-0.135549-1.56910.059493
8-0.08797-1.01830.155179
9-0.219493-2.54080.0061
100.0732920.84840.198859
110.0572680.66290.254259
12-0.048552-0.5620.287517
13-0.227852-2.63760.004669
14-0.214908-2.48770.007041
150.0101060.1170.453523
16-0.07385-0.85490.197072
170.0059320.06870.472679
18-0.095258-1.10270.136069
19-0.173432-2.00760.023347
200.0099160.11480.454392
210.1236321.43110.077359
220.0166660.19290.423657
230.108331.2540.106011
24-0.024529-0.28390.388447
25-0.075848-0.8780.190757
26-0.072268-0.83660.202164
27-0.094315-1.09180.138446
280.0313990.36350.358411
290.0160730.18610.426338
300.0353670.40940.341451
31-0.133579-1.54630.062197
320.0244510.2830.388793
33-0.038816-0.44930.326961
34-0.100442-1.16270.12351
35-0.092779-1.0740.142377
36-0.069547-0.80510.211104
370.0255580.29590.3839
38-0.068199-0.78950.21562
390.0483620.55980.288265
40-0.002618-0.03030.487934
41-0.073733-0.85350.197447
420.0827480.95790.169924
43-0.027432-0.31750.37566
44-0.050704-0.58690.279116
450.0176140.20390.419371
460.1259571.45810.073583
47-0.038736-0.44840.327294
480.0187680.21730.414171

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.457572 & -5.2968 & 0 \tabularnewline
2 & -0.334436 & -3.8714 & 8.4e-05 \tabularnewline
3 & -0.333443 & -3.8599 & 8.8e-05 \tabularnewline
4 & -0.134685 & -1.5591 & 0.060667 \tabularnewline
5 & -0.200461 & -2.3205 & 0.010912 \tabularnewline
6 & -0.134316 & -1.5548 & 0.061173 \tabularnewline
7 & -0.135549 & -1.5691 & 0.059493 \tabularnewline
8 & -0.08797 & -1.0183 & 0.155179 \tabularnewline
9 & -0.219493 & -2.5408 & 0.0061 \tabularnewline
10 & 0.073292 & 0.8484 & 0.198859 \tabularnewline
11 & 0.057268 & 0.6629 & 0.254259 \tabularnewline
12 & -0.048552 & -0.562 & 0.287517 \tabularnewline
13 & -0.227852 & -2.6376 & 0.004669 \tabularnewline
14 & -0.214908 & -2.4877 & 0.007041 \tabularnewline
15 & 0.010106 & 0.117 & 0.453523 \tabularnewline
16 & -0.07385 & -0.8549 & 0.197072 \tabularnewline
17 & 0.005932 & 0.0687 & 0.472679 \tabularnewline
18 & -0.095258 & -1.1027 & 0.136069 \tabularnewline
19 & -0.173432 & -2.0076 & 0.023347 \tabularnewline
20 & 0.009916 & 0.1148 & 0.454392 \tabularnewline
21 & 0.123632 & 1.4311 & 0.077359 \tabularnewline
22 & 0.016666 & 0.1929 & 0.423657 \tabularnewline
23 & 0.10833 & 1.254 & 0.106011 \tabularnewline
24 & -0.024529 & -0.2839 & 0.388447 \tabularnewline
25 & -0.075848 & -0.878 & 0.190757 \tabularnewline
26 & -0.072268 & -0.8366 & 0.202164 \tabularnewline
27 & -0.094315 & -1.0918 & 0.138446 \tabularnewline
28 & 0.031399 & 0.3635 & 0.358411 \tabularnewline
29 & 0.016073 & 0.1861 & 0.426338 \tabularnewline
30 & 0.035367 & 0.4094 & 0.341451 \tabularnewline
31 & -0.133579 & -1.5463 & 0.062197 \tabularnewline
32 & 0.024451 & 0.283 & 0.388793 \tabularnewline
33 & -0.038816 & -0.4493 & 0.326961 \tabularnewline
34 & -0.100442 & -1.1627 & 0.12351 \tabularnewline
35 & -0.092779 & -1.074 & 0.142377 \tabularnewline
36 & -0.069547 & -0.8051 & 0.211104 \tabularnewline
37 & 0.025558 & 0.2959 & 0.3839 \tabularnewline
38 & -0.068199 & -0.7895 & 0.21562 \tabularnewline
39 & 0.048362 & 0.5598 & 0.288265 \tabularnewline
40 & -0.002618 & -0.0303 & 0.487934 \tabularnewline
41 & -0.073733 & -0.8535 & 0.197447 \tabularnewline
42 & 0.082748 & 0.9579 & 0.169924 \tabularnewline
43 & -0.027432 & -0.3175 & 0.37566 \tabularnewline
44 & -0.050704 & -0.5869 & 0.279116 \tabularnewline
45 & 0.017614 & 0.2039 & 0.419371 \tabularnewline
46 & 0.125957 & 1.4581 & 0.073583 \tabularnewline
47 & -0.038736 & -0.4484 & 0.327294 \tabularnewline
48 & 0.018768 & 0.2173 & 0.414171 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301106&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]-0.457572[/C][C]-5.2968[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.334436[/C][C]-3.8714[/C][C]8.4e-05[/C][/ROW]
[ROW][C]3[/C][C]-0.333443[/C][C]-3.8599[/C][C]8.8e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.134685[/C][C]-1.5591[/C][C]0.060667[/C][/ROW]
[ROW][C]5[/C][C]-0.200461[/C][C]-2.3205[/C][C]0.010912[/C][/ROW]
[ROW][C]6[/C][C]-0.134316[/C][C]-1.5548[/C][C]0.061173[/C][/ROW]
[ROW][C]7[/C][C]-0.135549[/C][C]-1.5691[/C][C]0.059493[/C][/ROW]
[ROW][C]8[/C][C]-0.08797[/C][C]-1.0183[/C][C]0.155179[/C][/ROW]
[ROW][C]9[/C][C]-0.219493[/C][C]-2.5408[/C][C]0.0061[/C][/ROW]
[ROW][C]10[/C][C]0.073292[/C][C]0.8484[/C][C]0.198859[/C][/ROW]
[ROW][C]11[/C][C]0.057268[/C][C]0.6629[/C][C]0.254259[/C][/ROW]
[ROW][C]12[/C][C]-0.048552[/C][C]-0.562[/C][C]0.287517[/C][/ROW]
[ROW][C]13[/C][C]-0.227852[/C][C]-2.6376[/C][C]0.004669[/C][/ROW]
[ROW][C]14[/C][C]-0.214908[/C][C]-2.4877[/C][C]0.007041[/C][/ROW]
[ROW][C]15[/C][C]0.010106[/C][C]0.117[/C][C]0.453523[/C][/ROW]
[ROW][C]16[/C][C]-0.07385[/C][C]-0.8549[/C][C]0.197072[/C][/ROW]
[ROW][C]17[/C][C]0.005932[/C][C]0.0687[/C][C]0.472679[/C][/ROW]
[ROW][C]18[/C][C]-0.095258[/C][C]-1.1027[/C][C]0.136069[/C][/ROW]
[ROW][C]19[/C][C]-0.173432[/C][C]-2.0076[/C][C]0.023347[/C][/ROW]
[ROW][C]20[/C][C]0.009916[/C][C]0.1148[/C][C]0.454392[/C][/ROW]
[ROW][C]21[/C][C]0.123632[/C][C]1.4311[/C][C]0.077359[/C][/ROW]
[ROW][C]22[/C][C]0.016666[/C][C]0.1929[/C][C]0.423657[/C][/ROW]
[ROW][C]23[/C][C]0.10833[/C][C]1.254[/C][C]0.106011[/C][/ROW]
[ROW][C]24[/C][C]-0.024529[/C][C]-0.2839[/C][C]0.388447[/C][/ROW]
[ROW][C]25[/C][C]-0.075848[/C][C]-0.878[/C][C]0.190757[/C][/ROW]
[ROW][C]26[/C][C]-0.072268[/C][C]-0.8366[/C][C]0.202164[/C][/ROW]
[ROW][C]27[/C][C]-0.094315[/C][C]-1.0918[/C][C]0.138446[/C][/ROW]
[ROW][C]28[/C][C]0.031399[/C][C]0.3635[/C][C]0.358411[/C][/ROW]
[ROW][C]29[/C][C]0.016073[/C][C]0.1861[/C][C]0.426338[/C][/ROW]
[ROW][C]30[/C][C]0.035367[/C][C]0.4094[/C][C]0.341451[/C][/ROW]
[ROW][C]31[/C][C]-0.133579[/C][C]-1.5463[/C][C]0.062197[/C][/ROW]
[ROW][C]32[/C][C]0.024451[/C][C]0.283[/C][C]0.388793[/C][/ROW]
[ROW][C]33[/C][C]-0.038816[/C][C]-0.4493[/C][C]0.326961[/C][/ROW]
[ROW][C]34[/C][C]-0.100442[/C][C]-1.1627[/C][C]0.12351[/C][/ROW]
[ROW][C]35[/C][C]-0.092779[/C][C]-1.074[/C][C]0.142377[/C][/ROW]
[ROW][C]36[/C][C]-0.069547[/C][C]-0.8051[/C][C]0.211104[/C][/ROW]
[ROW][C]37[/C][C]0.025558[/C][C]0.2959[/C][C]0.3839[/C][/ROW]
[ROW][C]38[/C][C]-0.068199[/C][C]-0.7895[/C][C]0.21562[/C][/ROW]
[ROW][C]39[/C][C]0.048362[/C][C]0.5598[/C][C]0.288265[/C][/ROW]
[ROW][C]40[/C][C]-0.002618[/C][C]-0.0303[/C][C]0.487934[/C][/ROW]
[ROW][C]41[/C][C]-0.073733[/C][C]-0.8535[/C][C]0.197447[/C][/ROW]
[ROW][C]42[/C][C]0.082748[/C][C]0.9579[/C][C]0.169924[/C][/ROW]
[ROW][C]43[/C][C]-0.027432[/C][C]-0.3175[/C][C]0.37566[/C][/ROW]
[ROW][C]44[/C][C]-0.050704[/C][C]-0.5869[/C][C]0.279116[/C][/ROW]
[ROW][C]45[/C][C]0.017614[/C][C]0.2039[/C][C]0.419371[/C][/ROW]
[ROW][C]46[/C][C]0.125957[/C][C]1.4581[/C][C]0.073583[/C][/ROW]
[ROW][C]47[/C][C]-0.038736[/C][C]-0.4484[/C][C]0.327294[/C][/ROW]
[ROW][C]48[/C][C]0.018768[/C][C]0.2173[/C][C]0.414171[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301106&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301106&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.457572-5.29680
2-0.334436-3.87148.4e-05
3-0.333443-3.85998.8e-05
4-0.134685-1.55910.060667
5-0.200461-2.32050.010912
6-0.134316-1.55480.061173
7-0.135549-1.56910.059493
8-0.08797-1.01830.155179
9-0.219493-2.54080.0061
100.0732920.84840.198859
110.0572680.66290.254259
12-0.048552-0.5620.287517
13-0.227852-2.63760.004669
14-0.214908-2.48770.007041
150.0101060.1170.453523
16-0.07385-0.85490.197072
170.0059320.06870.472679
18-0.095258-1.10270.136069
19-0.173432-2.00760.023347
200.0099160.11480.454392
210.1236321.43110.077359
220.0166660.19290.423657
230.108331.2540.106011
24-0.024529-0.28390.388447
25-0.075848-0.8780.190757
26-0.072268-0.83660.202164
27-0.094315-1.09180.138446
280.0313990.36350.358411
290.0160730.18610.426338
300.0353670.40940.341451
31-0.133579-1.54630.062197
320.0244510.2830.388793
33-0.038816-0.44930.326961
34-0.100442-1.16270.12351
35-0.092779-1.0740.142377
36-0.069547-0.80510.211104
370.0255580.29590.3839
38-0.068199-0.78950.21562
390.0483620.55980.288265
40-0.002618-0.03030.487934
41-0.073733-0.85350.197447
420.0827480.95790.169924
43-0.027432-0.31750.37566
44-0.050704-0.58690.279116
450.0176140.20390.419371
460.1259571.45810.073583
47-0.038736-0.44840.327294
480.0187680.21730.414171


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
if (par8 != '') par8 <- as.numeric(par8)
x <- na.omit(x)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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,'ACF(k)',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,'PACF(k)',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')