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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 01:56:27 -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/13/t1197535270rnw0jsdwp78h3t4.htm/, Retrieved Sun, 05 May 2024 19:09:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3314, Retrieved Sun, 05 May 2024 19:09:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact243
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper: tijdreeks ...] [2007-12-13 08:56:27] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
15044.5
14944.2
16754.8
14254.0
15454.9
15644.8
14568.3
12520.2
14803.0
15873.2
14755.3
12875.1
14291.1
14205.3
15859.4
15258.9
15498.6
15106.5
15023.6
12083.0
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




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3314&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]1 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=3314&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3314&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.92820
10.4097532.83880.003309
20.4024282.78810.003788
30.563023.90070.000149
40.3136062.17270.017384
50.3808792.63880.005592
60.3493112.42010.009676
70.1010790.70030.243563
80.1663431.15250.127419
90.1982091.37320.088031
10-0.016209-0.11230.544472
110.0636170.44080.330685
120.0947870.65670.257254
13-0.06234-0.43190.666127
140.1153180.79890.214129
150.0177690.12310.451268
16-0.115552-0.80060.786337
170.1056740.73210.233825
18-0.036418-0.25230.599062
19-0.152363-1.05560.851783
200.023670.1640.435214
21-0.064855-0.44930.672392
22-0.179547-1.24390.890219
23-0.022302-0.15450.561073
24-0.195377-1.35360.9089
25-0.225629-1.56320.937713
26-0.119468-0.82770.794031
27-0.237683-1.64670.946925
28-0.191072-1.32380.904077
29-0.243498-1.6870.950954
30-0.236018-1.63520.945723
31-0.185542-1.28550.897603
32-0.199152-1.37980.912973
33-0.226146-1.56680.938133
34-0.20851-1.44460.922467
35-0.121956-0.84490.79883
36-0.121414-0.84120.797792
37-0.088202-0.61110.727985
38-0.081077-0.56170.711539
39-0.137559-0.9530.827326
40-0.036707-0.25430.599829
41-0.030643-0.21230.583615
42-0.089101-0.61730.730025
43-0.018234-0.12630.550001
44-0.033609-0.23280.591565
45-0.035443-0.24560.596464
46-0.067104-0.46490.677952
47-0.026733-0.18520.57308

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.409753 & 2.8388 & 0.003309 \tabularnewline
2 & 0.402428 & 2.7881 & 0.003788 \tabularnewline
3 & 0.56302 & 3.9007 & 0.000149 \tabularnewline
4 & 0.313606 & 2.1727 & 0.017384 \tabularnewline
5 & 0.380879 & 2.6388 & 0.005592 \tabularnewline
6 & 0.349311 & 2.4201 & 0.009676 \tabularnewline
7 & 0.101079 & 0.7003 & 0.243563 \tabularnewline
8 & 0.166343 & 1.1525 & 0.127419 \tabularnewline
9 & 0.198209 & 1.3732 & 0.088031 \tabularnewline
10 & -0.016209 & -0.1123 & 0.544472 \tabularnewline
11 & 0.063617 & 0.4408 & 0.330685 \tabularnewline
12 & 0.094787 & 0.6567 & 0.257254 \tabularnewline
13 & -0.06234 & -0.4319 & 0.666127 \tabularnewline
14 & 0.115318 & 0.7989 & 0.214129 \tabularnewline
15 & 0.017769 & 0.1231 & 0.451268 \tabularnewline
16 & -0.115552 & -0.8006 & 0.786337 \tabularnewline
17 & 0.105674 & 0.7321 & 0.233825 \tabularnewline
18 & -0.036418 & -0.2523 & 0.599062 \tabularnewline
19 & -0.152363 & -1.0556 & 0.851783 \tabularnewline
20 & 0.02367 & 0.164 & 0.435214 \tabularnewline
21 & -0.064855 & -0.4493 & 0.672392 \tabularnewline
22 & -0.179547 & -1.2439 & 0.890219 \tabularnewline
23 & -0.022302 & -0.1545 & 0.561073 \tabularnewline
24 & -0.195377 & -1.3536 & 0.9089 \tabularnewline
25 & -0.225629 & -1.5632 & 0.937713 \tabularnewline
26 & -0.119468 & -0.8277 & 0.794031 \tabularnewline
27 & -0.237683 & -1.6467 & 0.946925 \tabularnewline
28 & -0.191072 & -1.3238 & 0.904077 \tabularnewline
29 & -0.243498 & -1.687 & 0.950954 \tabularnewline
30 & -0.236018 & -1.6352 & 0.945723 \tabularnewline
31 & -0.185542 & -1.2855 & 0.897603 \tabularnewline
32 & -0.199152 & -1.3798 & 0.912973 \tabularnewline
33 & -0.226146 & -1.5668 & 0.938133 \tabularnewline
34 & -0.20851 & -1.4446 & 0.922467 \tabularnewline
35 & -0.121956 & -0.8449 & 0.79883 \tabularnewline
36 & -0.121414 & -0.8412 & 0.797792 \tabularnewline
37 & -0.088202 & -0.6111 & 0.727985 \tabularnewline
38 & -0.081077 & -0.5617 & 0.711539 \tabularnewline
39 & -0.137559 & -0.953 & 0.827326 \tabularnewline
40 & -0.036707 & -0.2543 & 0.599829 \tabularnewline
41 & -0.030643 & -0.2123 & 0.583615 \tabularnewline
42 & -0.089101 & -0.6173 & 0.730025 \tabularnewline
43 & -0.018234 & -0.1263 & 0.550001 \tabularnewline
44 & -0.033609 & -0.2328 & 0.591565 \tabularnewline
45 & -0.035443 & -0.2456 & 0.596464 \tabularnewline
46 & -0.067104 & -0.4649 & 0.677952 \tabularnewline
47 & -0.026733 & -0.1852 & 0.57308 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3314&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]0.409753[/C][C]2.8388[/C][C]0.003309[/C][/ROW]
[ROW][C]2[/C][C]0.402428[/C][C]2.7881[/C][C]0.003788[/C][/ROW]
[ROW][C]3[/C][C]0.56302[/C][C]3.9007[/C][C]0.000149[/C][/ROW]
[ROW][C]4[/C][C]0.313606[/C][C]2.1727[/C][C]0.017384[/C][/ROW]
[ROW][C]5[/C][C]0.380879[/C][C]2.6388[/C][C]0.005592[/C][/ROW]
[ROW][C]6[/C][C]0.349311[/C][C]2.4201[/C][C]0.009676[/C][/ROW]
[ROW][C]7[/C][C]0.101079[/C][C]0.7003[/C][C]0.243563[/C][/ROW]
[ROW][C]8[/C][C]0.166343[/C][C]1.1525[/C][C]0.127419[/C][/ROW]
[ROW][C]9[/C][C]0.198209[/C][C]1.3732[/C][C]0.088031[/C][/ROW]
[ROW][C]10[/C][C]-0.016209[/C][C]-0.1123[/C][C]0.544472[/C][/ROW]
[ROW][C]11[/C][C]0.063617[/C][C]0.4408[/C][C]0.330685[/C][/ROW]
[ROW][C]12[/C][C]0.094787[/C][C]0.6567[/C][C]0.257254[/C][/ROW]
[ROW][C]13[/C][C]-0.06234[/C][C]-0.4319[/C][C]0.666127[/C][/ROW]
[ROW][C]14[/C][C]0.115318[/C][C]0.7989[/C][C]0.214129[/C][/ROW]
[ROW][C]15[/C][C]0.017769[/C][C]0.1231[/C][C]0.451268[/C][/ROW]
[ROW][C]16[/C][C]-0.115552[/C][C]-0.8006[/C][C]0.786337[/C][/ROW]
[ROW][C]17[/C][C]0.105674[/C][C]0.7321[/C][C]0.233825[/C][/ROW]
[ROW][C]18[/C][C]-0.036418[/C][C]-0.2523[/C][C]0.599062[/C][/ROW]
[ROW][C]19[/C][C]-0.152363[/C][C]-1.0556[/C][C]0.851783[/C][/ROW]
[ROW][C]20[/C][C]0.02367[/C][C]0.164[/C][C]0.435214[/C][/ROW]
[ROW][C]21[/C][C]-0.064855[/C][C]-0.4493[/C][C]0.672392[/C][/ROW]
[ROW][C]22[/C][C]-0.179547[/C][C]-1.2439[/C][C]0.890219[/C][/ROW]
[ROW][C]23[/C][C]-0.022302[/C][C]-0.1545[/C][C]0.561073[/C][/ROW]
[ROW][C]24[/C][C]-0.195377[/C][C]-1.3536[/C][C]0.9089[/C][/ROW]
[ROW][C]25[/C][C]-0.225629[/C][C]-1.5632[/C][C]0.937713[/C][/ROW]
[ROW][C]26[/C][C]-0.119468[/C][C]-0.8277[/C][C]0.794031[/C][/ROW]
[ROW][C]27[/C][C]-0.237683[/C][C]-1.6467[/C][C]0.946925[/C][/ROW]
[ROW][C]28[/C][C]-0.191072[/C][C]-1.3238[/C][C]0.904077[/C][/ROW]
[ROW][C]29[/C][C]-0.243498[/C][C]-1.687[/C][C]0.950954[/C][/ROW]
[ROW][C]30[/C][C]-0.236018[/C][C]-1.6352[/C][C]0.945723[/C][/ROW]
[ROW][C]31[/C][C]-0.185542[/C][C]-1.2855[/C][C]0.897603[/C][/ROW]
[ROW][C]32[/C][C]-0.199152[/C][C]-1.3798[/C][C]0.912973[/C][/ROW]
[ROW][C]33[/C][C]-0.226146[/C][C]-1.5668[/C][C]0.938133[/C][/ROW]
[ROW][C]34[/C][C]-0.20851[/C][C]-1.4446[/C][C]0.922467[/C][/ROW]
[ROW][C]35[/C][C]-0.121956[/C][C]-0.8449[/C][C]0.79883[/C][/ROW]
[ROW][C]36[/C][C]-0.121414[/C][C]-0.8412[/C][C]0.797792[/C][/ROW]
[ROW][C]37[/C][C]-0.088202[/C][C]-0.6111[/C][C]0.727985[/C][/ROW]
[ROW][C]38[/C][C]-0.081077[/C][C]-0.5617[/C][C]0.711539[/C][/ROW]
[ROW][C]39[/C][C]-0.137559[/C][C]-0.953[/C][C]0.827326[/C][/ROW]
[ROW][C]40[/C][C]-0.036707[/C][C]-0.2543[/C][C]0.599829[/C][/ROW]
[ROW][C]41[/C][C]-0.030643[/C][C]-0.2123[/C][C]0.583615[/C][/ROW]
[ROW][C]42[/C][C]-0.089101[/C][C]-0.6173[/C][C]0.730025[/C][/ROW]
[ROW][C]43[/C][C]-0.018234[/C][C]-0.1263[/C][C]0.550001[/C][/ROW]
[ROW][C]44[/C][C]-0.033609[/C][C]-0.2328[/C][C]0.591565[/C][/ROW]
[ROW][C]45[/C][C]-0.035443[/C][C]-0.2456[/C][C]0.596464[/C][/ROW]
[ROW][C]46[/C][C]-0.067104[/C][C]-0.4649[/C][C]0.677952[/C][/ROW]
[ROW][C]47[/C][C]-0.026733[/C][C]-0.1852[/C][C]0.57308[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3314&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3314&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
10.4097532.83880.003309
20.4024282.78810.003788
30.563023.90070.000149
40.3136062.17270.017384
50.3808792.63880.005592
60.3493112.42010.009676
70.1010790.70030.243563
80.1663431.15250.127419
90.1982091.37320.088031
10-0.016209-0.11230.544472
110.0636170.44080.330685
120.0947870.65670.257254
13-0.06234-0.43190.666127
140.1153180.79890.214129
150.0177690.12310.451268
16-0.115552-0.80060.786337
170.1056740.73210.233825
18-0.036418-0.25230.599062
19-0.152363-1.05560.851783
200.023670.1640.435214
21-0.064855-0.44930.672392
22-0.179547-1.24390.890219
23-0.022302-0.15450.561073
24-0.195377-1.35360.9089
25-0.225629-1.56320.937713
26-0.119468-0.82770.794031
27-0.237683-1.64670.946925
28-0.191072-1.32380.904077
29-0.243498-1.6870.950954
30-0.236018-1.63520.945723
31-0.185542-1.28550.897603
32-0.199152-1.37980.912973
33-0.226146-1.56680.938133
34-0.20851-1.44460.922467
35-0.121956-0.84490.79883
36-0.121414-0.84120.797792
37-0.088202-0.61110.727985
38-0.081077-0.56170.711539
39-0.137559-0.9530.827326
40-0.036707-0.25430.599829
41-0.030643-0.21230.583615
42-0.089101-0.61730.730025
43-0.018234-0.12630.550001
44-0.033609-0.23280.591565
45-0.035443-0.24560.596464
46-0.067104-0.46490.677952
47-0.026733-0.18520.57308







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.4097532.83880.003309
10.2818531.95270.028348
20.4296492.97670.002277
3-0.036-0.24940.597948
40.1128690.7820.219033
5-0.028451-0.19710.577716
6-0.243038-1.68380.950645
7-0.113168-0.78410.78157
80.0703040.48710.314209
9-0.097838-0.67780.749437
100.0287280.1990.421538
110.1208310.83710.20333
12-0.00857-0.05940.523549
130.1453441.0070.159499
14-0.059955-0.41540.660142
15-0.139519-0.96660.830709
160.0428540.29690.383912
17-0.095049-0.65850.743324
18-0.164155-1.13730.869471
190.0219270.15190.439944
200.0978760.67810.25048
21-0.095738-0.66330.744841
220.0376340.26070.397706
23-0.077871-0.53950.703985
24-0.086952-0.60240.725136
25-0.144921-1.0040.839803
260.0088930.06160.475563
270.0685210.47470.318566
28-0.201987-1.39940.91594
290.1319350.91410.182624
300.0433870.30060.38251
31-0.036607-0.25360.599565
32-0.00831-0.05760.522836
33-0.082608-0.57230.715114
340.0087040.06030.476083
350.1192910.82650.206313
360.0202730.14050.444443
37-0.022453-0.15560.561484
38-0.049963-0.34620.63463
39-0.038092-0.26390.60351
40-0.020146-0.13960.55521
41-0.077397-0.53620.702859
420.1023070.70880.240938
43-0.028944-0.20050.579042
44-0.0066-0.04570.51814
45-0.026625-0.18450.572786
460.0291680.20210.420352
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.409753 & 2.8388 & 0.003309 \tabularnewline
1 & 0.281853 & 1.9527 & 0.028348 \tabularnewline
2 & 0.429649 & 2.9767 & 0.002277 \tabularnewline
3 & -0.036 & -0.2494 & 0.597948 \tabularnewline
4 & 0.112869 & 0.782 & 0.219033 \tabularnewline
5 & -0.028451 & -0.1971 & 0.577716 \tabularnewline
6 & -0.243038 & -1.6838 & 0.950645 \tabularnewline
7 & -0.113168 & -0.7841 & 0.78157 \tabularnewline
8 & 0.070304 & 0.4871 & 0.314209 \tabularnewline
9 & -0.097838 & -0.6778 & 0.749437 \tabularnewline
10 & 0.028728 & 0.199 & 0.421538 \tabularnewline
11 & 0.120831 & 0.8371 & 0.20333 \tabularnewline
12 & -0.00857 & -0.0594 & 0.523549 \tabularnewline
13 & 0.145344 & 1.007 & 0.159499 \tabularnewline
14 & -0.059955 & -0.4154 & 0.660142 \tabularnewline
15 & -0.139519 & -0.9666 & 0.830709 \tabularnewline
16 & 0.042854 & 0.2969 & 0.383912 \tabularnewline
17 & -0.095049 & -0.6585 & 0.743324 \tabularnewline
18 & -0.164155 & -1.1373 & 0.869471 \tabularnewline
19 & 0.021927 & 0.1519 & 0.439944 \tabularnewline
20 & 0.097876 & 0.6781 & 0.25048 \tabularnewline
21 & -0.095738 & -0.6633 & 0.744841 \tabularnewline
22 & 0.037634 & 0.2607 & 0.397706 \tabularnewline
23 & -0.077871 & -0.5395 & 0.703985 \tabularnewline
24 & -0.086952 & -0.6024 & 0.725136 \tabularnewline
25 & -0.144921 & -1.004 & 0.839803 \tabularnewline
26 & 0.008893 & 0.0616 & 0.475563 \tabularnewline
27 & 0.068521 & 0.4747 & 0.318566 \tabularnewline
28 & -0.201987 & -1.3994 & 0.91594 \tabularnewline
29 & 0.131935 & 0.9141 & 0.182624 \tabularnewline
30 & 0.043387 & 0.3006 & 0.38251 \tabularnewline
31 & -0.036607 & -0.2536 & 0.599565 \tabularnewline
32 & -0.00831 & -0.0576 & 0.522836 \tabularnewline
33 & -0.082608 & -0.5723 & 0.715114 \tabularnewline
34 & 0.008704 & 0.0603 & 0.476083 \tabularnewline
35 & 0.119291 & 0.8265 & 0.206313 \tabularnewline
36 & 0.020273 & 0.1405 & 0.444443 \tabularnewline
37 & -0.022453 & -0.1556 & 0.561484 \tabularnewline
38 & -0.049963 & -0.3462 & 0.63463 \tabularnewline
39 & -0.038092 & -0.2639 & 0.60351 \tabularnewline
40 & -0.020146 & -0.1396 & 0.55521 \tabularnewline
41 & -0.077397 & -0.5362 & 0.702859 \tabularnewline
42 & 0.102307 & 0.7088 & 0.240938 \tabularnewline
43 & -0.028944 & -0.2005 & 0.579042 \tabularnewline
44 & -0.0066 & -0.0457 & 0.51814 \tabularnewline
45 & -0.026625 & -0.1845 & 0.572786 \tabularnewline
46 & 0.029168 & 0.2021 & 0.420352 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3314&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]0.409753[/C][C]2.8388[/C][C]0.003309[/C][/ROW]
[ROW][C]1[/C][C]0.281853[/C][C]1.9527[/C][C]0.028348[/C][/ROW]
[ROW][C]2[/C][C]0.429649[/C][C]2.9767[/C][C]0.002277[/C][/ROW]
[ROW][C]3[/C][C]-0.036[/C][C]-0.2494[/C][C]0.597948[/C][/ROW]
[ROW][C]4[/C][C]0.112869[/C][C]0.782[/C][C]0.219033[/C][/ROW]
[ROW][C]5[/C][C]-0.028451[/C][C]-0.1971[/C][C]0.577716[/C][/ROW]
[ROW][C]6[/C][C]-0.243038[/C][C]-1.6838[/C][C]0.950645[/C][/ROW]
[ROW][C]7[/C][C]-0.113168[/C][C]-0.7841[/C][C]0.78157[/C][/ROW]
[ROW][C]8[/C][C]0.070304[/C][C]0.4871[/C][C]0.314209[/C][/ROW]
[ROW][C]9[/C][C]-0.097838[/C][C]-0.6778[/C][C]0.749437[/C][/ROW]
[ROW][C]10[/C][C]0.028728[/C][C]0.199[/C][C]0.421538[/C][/ROW]
[ROW][C]11[/C][C]0.120831[/C][C]0.8371[/C][C]0.20333[/C][/ROW]
[ROW][C]12[/C][C]-0.00857[/C][C]-0.0594[/C][C]0.523549[/C][/ROW]
[ROW][C]13[/C][C]0.145344[/C][C]1.007[/C][C]0.159499[/C][/ROW]
[ROW][C]14[/C][C]-0.059955[/C][C]-0.4154[/C][C]0.660142[/C][/ROW]
[ROW][C]15[/C][C]-0.139519[/C][C]-0.9666[/C][C]0.830709[/C][/ROW]
[ROW][C]16[/C][C]0.042854[/C][C]0.2969[/C][C]0.383912[/C][/ROW]
[ROW][C]17[/C][C]-0.095049[/C][C]-0.6585[/C][C]0.743324[/C][/ROW]
[ROW][C]18[/C][C]-0.164155[/C][C]-1.1373[/C][C]0.869471[/C][/ROW]
[ROW][C]19[/C][C]0.021927[/C][C]0.1519[/C][C]0.439944[/C][/ROW]
[ROW][C]20[/C][C]0.097876[/C][C]0.6781[/C][C]0.25048[/C][/ROW]
[ROW][C]21[/C][C]-0.095738[/C][C]-0.6633[/C][C]0.744841[/C][/ROW]
[ROW][C]22[/C][C]0.037634[/C][C]0.2607[/C][C]0.397706[/C][/ROW]
[ROW][C]23[/C][C]-0.077871[/C][C]-0.5395[/C][C]0.703985[/C][/ROW]
[ROW][C]24[/C][C]-0.086952[/C][C]-0.6024[/C][C]0.725136[/C][/ROW]
[ROW][C]25[/C][C]-0.144921[/C][C]-1.004[/C][C]0.839803[/C][/ROW]
[ROW][C]26[/C][C]0.008893[/C][C]0.0616[/C][C]0.475563[/C][/ROW]
[ROW][C]27[/C][C]0.068521[/C][C]0.4747[/C][C]0.318566[/C][/ROW]
[ROW][C]28[/C][C]-0.201987[/C][C]-1.3994[/C][C]0.91594[/C][/ROW]
[ROW][C]29[/C][C]0.131935[/C][C]0.9141[/C][C]0.182624[/C][/ROW]
[ROW][C]30[/C][C]0.043387[/C][C]0.3006[/C][C]0.38251[/C][/ROW]
[ROW][C]31[/C][C]-0.036607[/C][C]-0.2536[/C][C]0.599565[/C][/ROW]
[ROW][C]32[/C][C]-0.00831[/C][C]-0.0576[/C][C]0.522836[/C][/ROW]
[ROW][C]33[/C][C]-0.082608[/C][C]-0.5723[/C][C]0.715114[/C][/ROW]
[ROW][C]34[/C][C]0.008704[/C][C]0.0603[/C][C]0.476083[/C][/ROW]
[ROW][C]35[/C][C]0.119291[/C][C]0.8265[/C][C]0.206313[/C][/ROW]
[ROW][C]36[/C][C]0.020273[/C][C]0.1405[/C][C]0.444443[/C][/ROW]
[ROW][C]37[/C][C]-0.022453[/C][C]-0.1556[/C][C]0.561484[/C][/ROW]
[ROW][C]38[/C][C]-0.049963[/C][C]-0.3462[/C][C]0.63463[/C][/ROW]
[ROW][C]39[/C][C]-0.038092[/C][C]-0.2639[/C][C]0.60351[/C][/ROW]
[ROW][C]40[/C][C]-0.020146[/C][C]-0.1396[/C][C]0.55521[/C][/ROW]
[ROW][C]41[/C][C]-0.077397[/C][C]-0.5362[/C][C]0.702859[/C][/ROW]
[ROW][C]42[/C][C]0.102307[/C][C]0.7088[/C][C]0.240938[/C][/ROW]
[ROW][C]43[/C][C]-0.028944[/C][C]-0.2005[/C][C]0.579042[/C][/ROW]
[ROW][C]44[/C][C]-0.0066[/C][C]-0.0457[/C][C]0.51814[/C][/ROW]
[ROW][C]45[/C][C]-0.026625[/C][C]-0.1845[/C][C]0.572786[/C][/ROW]
[ROW][C]46[/C][C]0.029168[/C][C]0.2021[/C][C]0.420352[/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=3314&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3314&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
00.4097532.83880.003309
10.2818531.95270.028348
20.4296492.97670.002277
3-0.036-0.24940.597948
40.1128690.7820.219033
5-0.028451-0.19710.577716
6-0.243038-1.68380.950645
7-0.113168-0.78410.78157
80.0703040.48710.314209
9-0.097838-0.67780.749437
100.0287280.1990.421538
110.1208310.83710.20333
12-0.00857-0.05940.523549
130.1453441.0070.159499
14-0.059955-0.41540.660142
15-0.139519-0.96660.830709
160.0428540.29690.383912
17-0.095049-0.65850.743324
18-0.164155-1.13730.869471
190.0219270.15190.439944
200.0978760.67810.25048
21-0.095738-0.66330.744841
220.0376340.26070.397706
23-0.077871-0.53950.703985
24-0.086952-0.60240.725136
25-0.144921-1.0040.839803
260.0088930.06160.475563
270.0685210.47470.318566
28-0.201987-1.39940.91594
290.1319350.91410.182624
300.0433870.30060.38251
31-0.036607-0.25360.599565
32-0.00831-0.05760.522836
33-0.082608-0.57230.715114
340.0087040.06030.476083
350.1192910.82650.206313
360.0202730.14050.444443
37-0.022453-0.15560.561484
38-0.049963-0.34620.63463
39-0.038092-0.26390.60351
40-0.020146-0.13960.55521
41-0.077397-0.53620.702859
420.1023070.70880.240938
43-0.028944-0.20050.579042
44-0.0066-0.04570.51814
45-0.026625-0.18450.572786
460.0291680.20210.420352
47NANANA



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')