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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 04:35:04 -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/t11974584092t1ge0c0pi89uza.htm/, Retrieved Thu, 02 May 2024 16:42:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3208, Retrieved Thu, 02 May 2024 16:42:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact209
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [(P)ACF om differe...] [2007-12-12 11:35:04] [44cf2be50bc8700e14714598feda9df9] [Current]
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Dataseries X:
523000
519000
509000
512000
519000
517000
510000
509000
501000
507000
569000
580000
578000
565000
547000
555000
562000
561000
555000
544000
537000
543000
594000
611000
613000
611000
594000
595000
591000
589000
584000
573000
567000
569000
621000
629000
628000
612000
595000
597000
593000
590000
580000
574000
573000
573000
620000
626000
620000
588000
566000
557000
561000
549000
532000
526000
511000
499000
555000
565000
542000




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=3208&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=3208&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3208&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
016.92820
10.011650.08070.468003
2-0.145254-1.00630.840353
3-0.024488-0.16970.567004
4-0.058452-0.4050.65635
5-0.035782-0.24790.597367
60.0395070.27370.392741
70.069250.47980.316782
80.0375920.26040.397818
90.1370790.94970.173508
10-0.147434-1.02150.84392
117.1e-055e-040.499805
12-0.1455-1.00810.840758
13-0.070143-0.4860.685398
140.1892231.3110.098051
150.0652230.45190.326695
16-0.022307-0.15450.561087
17-0.168035-1.16420.874947
180.0883320.6120.271718
190.0569960.39490.347339
200.0641820.44470.32928
21-0.012534-0.08680.534418
22-0.058123-0.40270.655518
230.0986240.68330.248856
24-0.100006-0.69290.754132
25-0.086207-0.59730.723428
26-0.088429-0.61270.728502
270.0924780.64070.262381
280.0082590.05720.477303
290.0904750.62680.266871
30-0.143442-0.99380.837348
31-0.186727-1.29370.899017
320.0094020.06510.474168
33-0.062185-0.43080.66574
340.0351540.24360.404308
350.0464520.32180.37449
36-0.094371-0.65380.741827
370.0076570.0530.478957
380.0702840.48690.314258
39-0.110594-0.76620.776351
40-0.019547-0.13540.55358
410.0336720.23330.408265
42-0.012084-0.08370.533186
430.0819630.56790.286391
440.004280.02970.488234
45-0.102838-0.71250.760193
460.0151140.10470.45852
470.0415650.2880.387305

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.01165 & 0.0807 & 0.468003 \tabularnewline
2 & -0.145254 & -1.0063 & 0.840353 \tabularnewline
3 & -0.024488 & -0.1697 & 0.567004 \tabularnewline
4 & -0.058452 & -0.405 & 0.65635 \tabularnewline
5 & -0.035782 & -0.2479 & 0.597367 \tabularnewline
6 & 0.039507 & 0.2737 & 0.392741 \tabularnewline
7 & 0.06925 & 0.4798 & 0.316782 \tabularnewline
8 & 0.037592 & 0.2604 & 0.397818 \tabularnewline
9 & 0.137079 & 0.9497 & 0.173508 \tabularnewline
10 & -0.147434 & -1.0215 & 0.84392 \tabularnewline
11 & 7.1e-05 & 5e-04 & 0.499805 \tabularnewline
12 & -0.1455 & -1.0081 & 0.840758 \tabularnewline
13 & -0.070143 & -0.486 & 0.685398 \tabularnewline
14 & 0.189223 & 1.311 & 0.098051 \tabularnewline
15 & 0.065223 & 0.4519 & 0.326695 \tabularnewline
16 & -0.022307 & -0.1545 & 0.561087 \tabularnewline
17 & -0.168035 & -1.1642 & 0.874947 \tabularnewline
18 & 0.088332 & 0.612 & 0.271718 \tabularnewline
19 & 0.056996 & 0.3949 & 0.347339 \tabularnewline
20 & 0.064182 & 0.4447 & 0.32928 \tabularnewline
21 & -0.012534 & -0.0868 & 0.534418 \tabularnewline
22 & -0.058123 & -0.4027 & 0.655518 \tabularnewline
23 & 0.098624 & 0.6833 & 0.248856 \tabularnewline
24 & -0.100006 & -0.6929 & 0.754132 \tabularnewline
25 & -0.086207 & -0.5973 & 0.723428 \tabularnewline
26 & -0.088429 & -0.6127 & 0.728502 \tabularnewline
27 & 0.092478 & 0.6407 & 0.262381 \tabularnewline
28 & 0.008259 & 0.0572 & 0.477303 \tabularnewline
29 & 0.090475 & 0.6268 & 0.266871 \tabularnewline
30 & -0.143442 & -0.9938 & 0.837348 \tabularnewline
31 & -0.186727 & -1.2937 & 0.899017 \tabularnewline
32 & 0.009402 & 0.0651 & 0.474168 \tabularnewline
33 & -0.062185 & -0.4308 & 0.66574 \tabularnewline
34 & 0.035154 & 0.2436 & 0.404308 \tabularnewline
35 & 0.046452 & 0.3218 & 0.37449 \tabularnewline
36 & -0.094371 & -0.6538 & 0.741827 \tabularnewline
37 & 0.007657 & 0.053 & 0.478957 \tabularnewline
38 & 0.070284 & 0.4869 & 0.314258 \tabularnewline
39 & -0.110594 & -0.7662 & 0.776351 \tabularnewline
40 & -0.019547 & -0.1354 & 0.55358 \tabularnewline
41 & 0.033672 & 0.2333 & 0.408265 \tabularnewline
42 & -0.012084 & -0.0837 & 0.533186 \tabularnewline
43 & 0.081963 & 0.5679 & 0.286391 \tabularnewline
44 & 0.00428 & 0.0297 & 0.488234 \tabularnewline
45 & -0.102838 & -0.7125 & 0.760193 \tabularnewline
46 & 0.015114 & 0.1047 & 0.45852 \tabularnewline
47 & 0.041565 & 0.288 & 0.387305 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3208&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.01165[/C][C]0.0807[/C][C]0.468003[/C][/ROW]
[ROW][C]2[/C][C]-0.145254[/C][C]-1.0063[/C][C]0.840353[/C][/ROW]
[ROW][C]3[/C][C]-0.024488[/C][C]-0.1697[/C][C]0.567004[/C][/ROW]
[ROW][C]4[/C][C]-0.058452[/C][C]-0.405[/C][C]0.65635[/C][/ROW]
[ROW][C]5[/C][C]-0.035782[/C][C]-0.2479[/C][C]0.597367[/C][/ROW]
[ROW][C]6[/C][C]0.039507[/C][C]0.2737[/C][C]0.392741[/C][/ROW]
[ROW][C]7[/C][C]0.06925[/C][C]0.4798[/C][C]0.316782[/C][/ROW]
[ROW][C]8[/C][C]0.037592[/C][C]0.2604[/C][C]0.397818[/C][/ROW]
[ROW][C]9[/C][C]0.137079[/C][C]0.9497[/C][C]0.173508[/C][/ROW]
[ROW][C]10[/C][C]-0.147434[/C][C]-1.0215[/C][C]0.84392[/C][/ROW]
[ROW][C]11[/C][C]7.1e-05[/C][C]5e-04[/C][C]0.499805[/C][/ROW]
[ROW][C]12[/C][C]-0.1455[/C][C]-1.0081[/C][C]0.840758[/C][/ROW]
[ROW][C]13[/C][C]-0.070143[/C][C]-0.486[/C][C]0.685398[/C][/ROW]
[ROW][C]14[/C][C]0.189223[/C][C]1.311[/C][C]0.098051[/C][/ROW]
[ROW][C]15[/C][C]0.065223[/C][C]0.4519[/C][C]0.326695[/C][/ROW]
[ROW][C]16[/C][C]-0.022307[/C][C]-0.1545[/C][C]0.561087[/C][/ROW]
[ROW][C]17[/C][C]-0.168035[/C][C]-1.1642[/C][C]0.874947[/C][/ROW]
[ROW][C]18[/C][C]0.088332[/C][C]0.612[/C][C]0.271718[/C][/ROW]
[ROW][C]19[/C][C]0.056996[/C][C]0.3949[/C][C]0.347339[/C][/ROW]
[ROW][C]20[/C][C]0.064182[/C][C]0.4447[/C][C]0.32928[/C][/ROW]
[ROW][C]21[/C][C]-0.012534[/C][C]-0.0868[/C][C]0.534418[/C][/ROW]
[ROW][C]22[/C][C]-0.058123[/C][C]-0.4027[/C][C]0.655518[/C][/ROW]
[ROW][C]23[/C][C]0.098624[/C][C]0.6833[/C][C]0.248856[/C][/ROW]
[ROW][C]24[/C][C]-0.100006[/C][C]-0.6929[/C][C]0.754132[/C][/ROW]
[ROW][C]25[/C][C]-0.086207[/C][C]-0.5973[/C][C]0.723428[/C][/ROW]
[ROW][C]26[/C][C]-0.088429[/C][C]-0.6127[/C][C]0.728502[/C][/ROW]
[ROW][C]27[/C][C]0.092478[/C][C]0.6407[/C][C]0.262381[/C][/ROW]
[ROW][C]28[/C][C]0.008259[/C][C]0.0572[/C][C]0.477303[/C][/ROW]
[ROW][C]29[/C][C]0.090475[/C][C]0.6268[/C][C]0.266871[/C][/ROW]
[ROW][C]30[/C][C]-0.143442[/C][C]-0.9938[/C][C]0.837348[/C][/ROW]
[ROW][C]31[/C][C]-0.186727[/C][C]-1.2937[/C][C]0.899017[/C][/ROW]
[ROW][C]32[/C][C]0.009402[/C][C]0.0651[/C][C]0.474168[/C][/ROW]
[ROW][C]33[/C][C]-0.062185[/C][C]-0.4308[/C][C]0.66574[/C][/ROW]
[ROW][C]34[/C][C]0.035154[/C][C]0.2436[/C][C]0.404308[/C][/ROW]
[ROW][C]35[/C][C]0.046452[/C][C]0.3218[/C][C]0.37449[/C][/ROW]
[ROW][C]36[/C][C]-0.094371[/C][C]-0.6538[/C][C]0.741827[/C][/ROW]
[ROW][C]37[/C][C]0.007657[/C][C]0.053[/C][C]0.478957[/C][/ROW]
[ROW][C]38[/C][C]0.070284[/C][C]0.4869[/C][C]0.314258[/C][/ROW]
[ROW][C]39[/C][C]-0.110594[/C][C]-0.7662[/C][C]0.776351[/C][/ROW]
[ROW][C]40[/C][C]-0.019547[/C][C]-0.1354[/C][C]0.55358[/C][/ROW]
[ROW][C]41[/C][C]0.033672[/C][C]0.2333[/C][C]0.408265[/C][/ROW]
[ROW][C]42[/C][C]-0.012084[/C][C]-0.0837[/C][C]0.533186[/C][/ROW]
[ROW][C]43[/C][C]0.081963[/C][C]0.5679[/C][C]0.286391[/C][/ROW]
[ROW][C]44[/C][C]0.00428[/C][C]0.0297[/C][C]0.488234[/C][/ROW]
[ROW][C]45[/C][C]-0.102838[/C][C]-0.7125[/C][C]0.760193[/C][/ROW]
[ROW][C]46[/C][C]0.015114[/C][C]0.1047[/C][C]0.45852[/C][/ROW]
[ROW][C]47[/C][C]0.041565[/C][C]0.288[/C][C]0.387305[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3208&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3208&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
016.92820
10.011650.08070.468003
2-0.145254-1.00630.840353
3-0.024488-0.16970.567004
4-0.058452-0.4050.65635
5-0.035782-0.24790.597367
60.0395070.27370.392741
70.069250.47980.316782
80.0375920.26040.397818
90.1370790.94970.173508
10-0.147434-1.02150.84392
117.1e-055e-040.499805
12-0.1455-1.00810.840758
13-0.070143-0.4860.685398
140.1892231.3110.098051
150.0652230.45190.326695
16-0.022307-0.15450.561087
17-0.168035-1.16420.874947
180.0883320.6120.271718
190.0569960.39490.347339
200.0641820.44470.32928
21-0.012534-0.08680.534418
22-0.058123-0.40270.655518
230.0986240.68330.248856
24-0.100006-0.69290.754132
25-0.086207-0.59730.723428
26-0.088429-0.61270.728502
270.0924780.64070.262381
280.0082590.05720.477303
290.0904750.62680.266871
30-0.143442-0.99380.837348
31-0.186727-1.29370.899017
320.0094020.06510.474168
33-0.062185-0.43080.66574
340.0351540.24360.404308
350.0464520.32180.37449
36-0.094371-0.65380.741827
370.0076570.0530.478957
380.0702840.48690.314258
39-0.110594-0.76620.776351
40-0.019547-0.13540.55358
410.0336720.23330.408265
42-0.012084-0.08370.533186
430.0819630.56790.286391
440.004280.02970.488234
45-0.102838-0.71250.760193
460.0151140.10470.45852
470.0415650.2880.387305







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.011650.08070.468003
1-0.145409-1.00740.840609
2-0.021309-0.14760.558375
3-0.080788-0.55970.710861
4-0.042349-0.29340.61476
50.019190.1330.447393
60.0552580.38280.351766
70.0407140.28210.38955
80.1576041.09190.140162
9-0.137602-0.95330.827401
100.0652050.45180.32674
11-0.193045-1.33750.906311
12-0.044227-0.30640.619692
130.1356690.93990.175977
140.0166180.11510.45441
150.0026430.01830.492734
16-0.178243-1.23490.888562
170.1156830.80150.213402
180.0942090.65270.258532
190.0775980.53760.296664
200.0278790.19320.423828
21-0.11209-0.77660.779393
220.0915670.63440.264419
23-0.107865-0.74730.77074
24-0.079077-0.54790.706836
25-0.059278-0.41070.658437
260.0130810.09060.464083
27-0.009893-0.06850.527181
280.0299410.20740.418272
29-0.168638-1.16840.875784
30-0.04864-0.3370.631202
31-0.047925-0.3320.629346
32-0.047856-0.33160.629167
33-0.068529-0.47480.681452
340.0445360.30860.379498
35-0.157586-1.09180.859812
360.0241450.16730.433925
37-0.004271-0.02960.511743
38-0.034444-0.23860.593798
390.0774190.53640.297089
40-0.075324-0.52190.697916
41-0.016902-0.11710.546366
42-0.008304-0.05750.52282
430.0646980.44820.327999
44-0.011241-0.07790.530878
45-0.018073-0.12520.549562
460.0189870.13150.447948
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.01165 & 0.0807 & 0.468003 \tabularnewline
1 & -0.145409 & -1.0074 & 0.840609 \tabularnewline
2 & -0.021309 & -0.1476 & 0.558375 \tabularnewline
3 & -0.080788 & -0.5597 & 0.710861 \tabularnewline
4 & -0.042349 & -0.2934 & 0.61476 \tabularnewline
5 & 0.01919 & 0.133 & 0.447393 \tabularnewline
6 & 0.055258 & 0.3828 & 0.351766 \tabularnewline
7 & 0.040714 & 0.2821 & 0.38955 \tabularnewline
8 & 0.157604 & 1.0919 & 0.140162 \tabularnewline
9 & -0.137602 & -0.9533 & 0.827401 \tabularnewline
10 & 0.065205 & 0.4518 & 0.32674 \tabularnewline
11 & -0.193045 & -1.3375 & 0.906311 \tabularnewline
12 & -0.044227 & -0.3064 & 0.619692 \tabularnewline
13 & 0.135669 & 0.9399 & 0.175977 \tabularnewline
14 & 0.016618 & 0.1151 & 0.45441 \tabularnewline
15 & 0.002643 & 0.0183 & 0.492734 \tabularnewline
16 & -0.178243 & -1.2349 & 0.888562 \tabularnewline
17 & 0.115683 & 0.8015 & 0.213402 \tabularnewline
18 & 0.094209 & 0.6527 & 0.258532 \tabularnewline
19 & 0.077598 & 0.5376 & 0.296664 \tabularnewline
20 & 0.027879 & 0.1932 & 0.423828 \tabularnewline
21 & -0.11209 & -0.7766 & 0.779393 \tabularnewline
22 & 0.091567 & 0.6344 & 0.264419 \tabularnewline
23 & -0.107865 & -0.7473 & 0.77074 \tabularnewline
24 & -0.079077 & -0.5479 & 0.706836 \tabularnewline
25 & -0.059278 & -0.4107 & 0.658437 \tabularnewline
26 & 0.013081 & 0.0906 & 0.464083 \tabularnewline
27 & -0.009893 & -0.0685 & 0.527181 \tabularnewline
28 & 0.029941 & 0.2074 & 0.418272 \tabularnewline
29 & -0.168638 & -1.1684 & 0.875784 \tabularnewline
30 & -0.04864 & -0.337 & 0.631202 \tabularnewline
31 & -0.047925 & -0.332 & 0.629346 \tabularnewline
32 & -0.047856 & -0.3316 & 0.629167 \tabularnewline
33 & -0.068529 & -0.4748 & 0.681452 \tabularnewline
34 & 0.044536 & 0.3086 & 0.379498 \tabularnewline
35 & -0.157586 & -1.0918 & 0.859812 \tabularnewline
36 & 0.024145 & 0.1673 & 0.433925 \tabularnewline
37 & -0.004271 & -0.0296 & 0.511743 \tabularnewline
38 & -0.034444 & -0.2386 & 0.593798 \tabularnewline
39 & 0.077419 & 0.5364 & 0.297089 \tabularnewline
40 & -0.075324 & -0.5219 & 0.697916 \tabularnewline
41 & -0.016902 & -0.1171 & 0.546366 \tabularnewline
42 & -0.008304 & -0.0575 & 0.52282 \tabularnewline
43 & 0.064698 & 0.4482 & 0.327999 \tabularnewline
44 & -0.011241 & -0.0779 & 0.530878 \tabularnewline
45 & -0.018073 & -0.1252 & 0.549562 \tabularnewline
46 & 0.018987 & 0.1315 & 0.447948 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3208&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]0.01165[/C][C]0.0807[/C][C]0.468003[/C][/ROW]
[ROW][C]1[/C][C]-0.145409[/C][C]-1.0074[/C][C]0.840609[/C][/ROW]
[ROW][C]2[/C][C]-0.021309[/C][C]-0.1476[/C][C]0.558375[/C][/ROW]
[ROW][C]3[/C][C]-0.080788[/C][C]-0.5597[/C][C]0.710861[/C][/ROW]
[ROW][C]4[/C][C]-0.042349[/C][C]-0.2934[/C][C]0.61476[/C][/ROW]
[ROW][C]5[/C][C]0.01919[/C][C]0.133[/C][C]0.447393[/C][/ROW]
[ROW][C]6[/C][C]0.055258[/C][C]0.3828[/C][C]0.351766[/C][/ROW]
[ROW][C]7[/C][C]0.040714[/C][C]0.2821[/C][C]0.38955[/C][/ROW]
[ROW][C]8[/C][C]0.157604[/C][C]1.0919[/C][C]0.140162[/C][/ROW]
[ROW][C]9[/C][C]-0.137602[/C][C]-0.9533[/C][C]0.827401[/C][/ROW]
[ROW][C]10[/C][C]0.065205[/C][C]0.4518[/C][C]0.32674[/C][/ROW]
[ROW][C]11[/C][C]-0.193045[/C][C]-1.3375[/C][C]0.906311[/C][/ROW]
[ROW][C]12[/C][C]-0.044227[/C][C]-0.3064[/C][C]0.619692[/C][/ROW]
[ROW][C]13[/C][C]0.135669[/C][C]0.9399[/C][C]0.175977[/C][/ROW]
[ROW][C]14[/C][C]0.016618[/C][C]0.1151[/C][C]0.45441[/C][/ROW]
[ROW][C]15[/C][C]0.002643[/C][C]0.0183[/C][C]0.492734[/C][/ROW]
[ROW][C]16[/C][C]-0.178243[/C][C]-1.2349[/C][C]0.888562[/C][/ROW]
[ROW][C]17[/C][C]0.115683[/C][C]0.8015[/C][C]0.213402[/C][/ROW]
[ROW][C]18[/C][C]0.094209[/C][C]0.6527[/C][C]0.258532[/C][/ROW]
[ROW][C]19[/C][C]0.077598[/C][C]0.5376[/C][C]0.296664[/C][/ROW]
[ROW][C]20[/C][C]0.027879[/C][C]0.1932[/C][C]0.423828[/C][/ROW]
[ROW][C]21[/C][C]-0.11209[/C][C]-0.7766[/C][C]0.779393[/C][/ROW]
[ROW][C]22[/C][C]0.091567[/C][C]0.6344[/C][C]0.264419[/C][/ROW]
[ROW][C]23[/C][C]-0.107865[/C][C]-0.7473[/C][C]0.77074[/C][/ROW]
[ROW][C]24[/C][C]-0.079077[/C][C]-0.5479[/C][C]0.706836[/C][/ROW]
[ROW][C]25[/C][C]-0.059278[/C][C]-0.4107[/C][C]0.658437[/C][/ROW]
[ROW][C]26[/C][C]0.013081[/C][C]0.0906[/C][C]0.464083[/C][/ROW]
[ROW][C]27[/C][C]-0.009893[/C][C]-0.0685[/C][C]0.527181[/C][/ROW]
[ROW][C]28[/C][C]0.029941[/C][C]0.2074[/C][C]0.418272[/C][/ROW]
[ROW][C]29[/C][C]-0.168638[/C][C]-1.1684[/C][C]0.875784[/C][/ROW]
[ROW][C]30[/C][C]-0.04864[/C][C]-0.337[/C][C]0.631202[/C][/ROW]
[ROW][C]31[/C][C]-0.047925[/C][C]-0.332[/C][C]0.629346[/C][/ROW]
[ROW][C]32[/C][C]-0.047856[/C][C]-0.3316[/C][C]0.629167[/C][/ROW]
[ROW][C]33[/C][C]-0.068529[/C][C]-0.4748[/C][C]0.681452[/C][/ROW]
[ROW][C]34[/C][C]0.044536[/C][C]0.3086[/C][C]0.379498[/C][/ROW]
[ROW][C]35[/C][C]-0.157586[/C][C]-1.0918[/C][C]0.859812[/C][/ROW]
[ROW][C]36[/C][C]0.024145[/C][C]0.1673[/C][C]0.433925[/C][/ROW]
[ROW][C]37[/C][C]-0.004271[/C][C]-0.0296[/C][C]0.511743[/C][/ROW]
[ROW][C]38[/C][C]-0.034444[/C][C]-0.2386[/C][C]0.593798[/C][/ROW]
[ROW][C]39[/C][C]0.077419[/C][C]0.5364[/C][C]0.297089[/C][/ROW]
[ROW][C]40[/C][C]-0.075324[/C][C]-0.5219[/C][C]0.697916[/C][/ROW]
[ROW][C]41[/C][C]-0.016902[/C][C]-0.1171[/C][C]0.546366[/C][/ROW]
[ROW][C]42[/C][C]-0.008304[/C][C]-0.0575[/C][C]0.52282[/C][/ROW]
[ROW][C]43[/C][C]0.064698[/C][C]0.4482[/C][C]0.327999[/C][/ROW]
[ROW][C]44[/C][C]-0.011241[/C][C]-0.0779[/C][C]0.530878[/C][/ROW]
[ROW][C]45[/C][C]-0.018073[/C][C]-0.1252[/C][C]0.549562[/C][/ROW]
[ROW][C]46[/C][C]0.018987[/C][C]0.1315[/C][C]0.447948[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3208&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3208&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
00.011650.08070.468003
1-0.145409-1.00740.840609
2-0.021309-0.14760.558375
3-0.080788-0.55970.710861
4-0.042349-0.29340.61476
50.019190.1330.447393
60.0552580.38280.351766
70.0407140.28210.38955
80.1576041.09190.140162
9-0.137602-0.95330.827401
100.0652050.45180.32674
11-0.193045-1.33750.906311
12-0.044227-0.30640.619692
130.1356690.93990.175977
140.0166180.11510.45441
150.0026430.01830.492734
16-0.178243-1.23490.888562
170.1156830.80150.213402
180.0942090.65270.258532
190.0775980.53760.296664
200.0278790.19320.423828
21-0.11209-0.77660.779393
220.0915670.63440.264419
23-0.107865-0.74730.77074
24-0.079077-0.54790.706836
25-0.059278-0.41070.658437
260.0130810.09060.464083
27-0.009893-0.06850.527181
280.0299410.20740.418272
29-0.168638-1.16840.875784
30-0.04864-0.3370.631202
31-0.047925-0.3320.629346
32-0.047856-0.33160.629167
33-0.068529-0.47480.681452
340.0445360.30860.379498
35-0.157586-1.09180.859812
360.0241450.16730.433925
37-0.004271-0.02960.511743
38-0.034444-0.23860.593798
390.0774190.53640.297089
40-0.075324-0.52190.697916
41-0.016902-0.11710.546366
42-0.008304-0.05750.52282
430.0646980.44820.327999
44-0.011241-0.07790.530878
45-0.018073-0.12520.549562
460.0189870.13150.447948
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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')