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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 13 Dec 2007 02:49:54 -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/t1197538488yaor2vh3v1xv00u.htm/, Retrieved Sun, 05 May 2024 18:52:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3358, Retrieved Sun, 05 May 2024 18:52:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact205
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper tijdreeks 3...] [2007-12-13 09:49:54] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
0.9383
0.9217
0.9095
0.8920
0.8742
0.8532
0.8607
0.9005
0.9111
0.9059
0.8883
0.8924
0.8833
0.8700
0.8758
0.8858
0.9170
0.9554
0.9922
0.9778
0.9808
0.9811
1.0014
1.0183
1.0622
1.0773
1.0807
1.0848
1.1582
1.1663
1.1372
1.1139
1.1222
1.1692
1.1702
1.2286
1.2613
1.2646
1.2262
1.1985
1.2007
1.2138
1.2266
1.2176
1.2218
1.2490
1.2991
1.3408
1.3119
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856




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=3358&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=3358&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3358&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
017.7460
10.9745247.54860
20.9370177.25810
30.8979766.95570
40.8594066.65690
50.8163736.32360
60.7700225.96460
70.7260135.62370
80.6829255.28991e-06
90.6367334.93213e-06
100.5825724.51261.5e-05
110.5221784.04487.6e-05
120.4571813.54130.000389
130.3878993.00470.001938
140.3192782.47310.008122
150.2544951.97130.026653
160.1950841.51110.068005
170.143961.11510.134626
180.094090.72880.234475
190.0449630.34830.364424
20-0.008722-0.06760.526819
21-0.060452-0.46830.679352
22-0.114021-0.88320.809674
23-0.169275-1.31120.902606
24-0.218798-1.69480.952351
25-0.257448-1.99420.974659
26-0.286224-2.21710.984791
27-0.31545-2.44350.991247
28-0.342701-2.65450.994923
29-0.363541-2.8160.996714
30-0.385815-2.98850.997971
31-0.41152-3.18760.99886
32-0.436252-3.37920.999359
33-0.45196-3.50090.999559
34-0.460368-3.5660.99964
35-0.466557-3.61390.999691
36-0.463169-3.58770.999664
37-0.450308-3.48810.999541
38-0.4346-3.36640.999333
39-0.42335-3.27930.999132
40-0.417189-3.23150.998999
41-0.410312-3.17830.998829
42-0.400835-3.10490.998548
43-0.385282-2.98440.997947
44-0.367906-2.84980.997006
45-0.347062-2.68830.995359
46-0.320749-2.48450.99211
47-0.286888-2.22220.984975

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.974524 & 7.5486 & 0 \tabularnewline
2 & 0.937017 & 7.2581 & 0 \tabularnewline
3 & 0.897976 & 6.9557 & 0 \tabularnewline
4 & 0.859406 & 6.6569 & 0 \tabularnewline
5 & 0.816373 & 6.3236 & 0 \tabularnewline
6 & 0.770022 & 5.9646 & 0 \tabularnewline
7 & 0.726013 & 5.6237 & 0 \tabularnewline
8 & 0.682925 & 5.2899 & 1e-06 \tabularnewline
9 & 0.636733 & 4.9321 & 3e-06 \tabularnewline
10 & 0.582572 & 4.5126 & 1.5e-05 \tabularnewline
11 & 0.522178 & 4.0448 & 7.6e-05 \tabularnewline
12 & 0.457181 & 3.5413 & 0.000389 \tabularnewline
13 & 0.387899 & 3.0047 & 0.001938 \tabularnewline
14 & 0.319278 & 2.4731 & 0.008122 \tabularnewline
15 & 0.254495 & 1.9713 & 0.026653 \tabularnewline
16 & 0.195084 & 1.5111 & 0.068005 \tabularnewline
17 & 0.14396 & 1.1151 & 0.134626 \tabularnewline
18 & 0.09409 & 0.7288 & 0.234475 \tabularnewline
19 & 0.044963 & 0.3483 & 0.364424 \tabularnewline
20 & -0.008722 & -0.0676 & 0.526819 \tabularnewline
21 & -0.060452 & -0.4683 & 0.679352 \tabularnewline
22 & -0.114021 & -0.8832 & 0.809674 \tabularnewline
23 & -0.169275 & -1.3112 & 0.902606 \tabularnewline
24 & -0.218798 & -1.6948 & 0.952351 \tabularnewline
25 & -0.257448 & -1.9942 & 0.974659 \tabularnewline
26 & -0.286224 & -2.2171 & 0.984791 \tabularnewline
27 & -0.31545 & -2.4435 & 0.991247 \tabularnewline
28 & -0.342701 & -2.6545 & 0.994923 \tabularnewline
29 & -0.363541 & -2.816 & 0.996714 \tabularnewline
30 & -0.385815 & -2.9885 & 0.997971 \tabularnewline
31 & -0.41152 & -3.1876 & 0.99886 \tabularnewline
32 & -0.436252 & -3.3792 & 0.999359 \tabularnewline
33 & -0.45196 & -3.5009 & 0.999559 \tabularnewline
34 & -0.460368 & -3.566 & 0.99964 \tabularnewline
35 & -0.466557 & -3.6139 & 0.999691 \tabularnewline
36 & -0.463169 & -3.5877 & 0.999664 \tabularnewline
37 & -0.450308 & -3.4881 & 0.999541 \tabularnewline
38 & -0.4346 & -3.3664 & 0.999333 \tabularnewline
39 & -0.42335 & -3.2793 & 0.999132 \tabularnewline
40 & -0.417189 & -3.2315 & 0.998999 \tabularnewline
41 & -0.410312 & -3.1783 & 0.998829 \tabularnewline
42 & -0.400835 & -3.1049 & 0.998548 \tabularnewline
43 & -0.385282 & -2.9844 & 0.997947 \tabularnewline
44 & -0.367906 & -2.8498 & 0.997006 \tabularnewline
45 & -0.347062 & -2.6883 & 0.995359 \tabularnewline
46 & -0.320749 & -2.4845 & 0.99211 \tabularnewline
47 & -0.286888 & -2.2222 & 0.984975 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3358&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]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.974524[/C][C]7.5486[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.937017[/C][C]7.2581[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.897976[/C][C]6.9557[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.859406[/C][C]6.6569[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.816373[/C][C]6.3236[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.770022[/C][C]5.9646[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.726013[/C][C]5.6237[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.682925[/C][C]5.2899[/C][C]1e-06[/C][/ROW]
[ROW][C]9[/C][C]0.636733[/C][C]4.9321[/C][C]3e-06[/C][/ROW]
[ROW][C]10[/C][C]0.582572[/C][C]4.5126[/C][C]1.5e-05[/C][/ROW]
[ROW][C]11[/C][C]0.522178[/C][C]4.0448[/C][C]7.6e-05[/C][/ROW]
[ROW][C]12[/C][C]0.457181[/C][C]3.5413[/C][C]0.000389[/C][/ROW]
[ROW][C]13[/C][C]0.387899[/C][C]3.0047[/C][C]0.001938[/C][/ROW]
[ROW][C]14[/C][C]0.319278[/C][C]2.4731[/C][C]0.008122[/C][/ROW]
[ROW][C]15[/C][C]0.254495[/C][C]1.9713[/C][C]0.026653[/C][/ROW]
[ROW][C]16[/C][C]0.195084[/C][C]1.5111[/C][C]0.068005[/C][/ROW]
[ROW][C]17[/C][C]0.14396[/C][C]1.1151[/C][C]0.134626[/C][/ROW]
[ROW][C]18[/C][C]0.09409[/C][C]0.7288[/C][C]0.234475[/C][/ROW]
[ROW][C]19[/C][C]0.044963[/C][C]0.3483[/C][C]0.364424[/C][/ROW]
[ROW][C]20[/C][C]-0.008722[/C][C]-0.0676[/C][C]0.526819[/C][/ROW]
[ROW][C]21[/C][C]-0.060452[/C][C]-0.4683[/C][C]0.679352[/C][/ROW]
[ROW][C]22[/C][C]-0.114021[/C][C]-0.8832[/C][C]0.809674[/C][/ROW]
[ROW][C]23[/C][C]-0.169275[/C][C]-1.3112[/C][C]0.902606[/C][/ROW]
[ROW][C]24[/C][C]-0.218798[/C][C]-1.6948[/C][C]0.952351[/C][/ROW]
[ROW][C]25[/C][C]-0.257448[/C][C]-1.9942[/C][C]0.974659[/C][/ROW]
[ROW][C]26[/C][C]-0.286224[/C][C]-2.2171[/C][C]0.984791[/C][/ROW]
[ROW][C]27[/C][C]-0.31545[/C][C]-2.4435[/C][C]0.991247[/C][/ROW]
[ROW][C]28[/C][C]-0.342701[/C][C]-2.6545[/C][C]0.994923[/C][/ROW]
[ROW][C]29[/C][C]-0.363541[/C][C]-2.816[/C][C]0.996714[/C][/ROW]
[ROW][C]30[/C][C]-0.385815[/C][C]-2.9885[/C][C]0.997971[/C][/ROW]
[ROW][C]31[/C][C]-0.41152[/C][C]-3.1876[/C][C]0.99886[/C][/ROW]
[ROW][C]32[/C][C]-0.436252[/C][C]-3.3792[/C][C]0.999359[/C][/ROW]
[ROW][C]33[/C][C]-0.45196[/C][C]-3.5009[/C][C]0.999559[/C][/ROW]
[ROW][C]34[/C][C]-0.460368[/C][C]-3.566[/C][C]0.99964[/C][/ROW]
[ROW][C]35[/C][C]-0.466557[/C][C]-3.6139[/C][C]0.999691[/C][/ROW]
[ROW][C]36[/C][C]-0.463169[/C][C]-3.5877[/C][C]0.999664[/C][/ROW]
[ROW][C]37[/C][C]-0.450308[/C][C]-3.4881[/C][C]0.999541[/C][/ROW]
[ROW][C]38[/C][C]-0.4346[/C][C]-3.3664[/C][C]0.999333[/C][/ROW]
[ROW][C]39[/C][C]-0.42335[/C][C]-3.2793[/C][C]0.999132[/C][/ROW]
[ROW][C]40[/C][C]-0.417189[/C][C]-3.2315[/C][C]0.998999[/C][/ROW]
[ROW][C]41[/C][C]-0.410312[/C][C]-3.1783[/C][C]0.998829[/C][/ROW]
[ROW][C]42[/C][C]-0.400835[/C][C]-3.1049[/C][C]0.998548[/C][/ROW]
[ROW][C]43[/C][C]-0.385282[/C][C]-2.9844[/C][C]0.997947[/C][/ROW]
[ROW][C]44[/C][C]-0.367906[/C][C]-2.8498[/C][C]0.997006[/C][/ROW]
[ROW][C]45[/C][C]-0.347062[/C][C]-2.6883[/C][C]0.995359[/C][/ROW]
[ROW][C]46[/C][C]-0.320749[/C][C]-2.4845[/C][C]0.99211[/C][/ROW]
[ROW][C]47[/C][C]-0.286888[/C][C]-2.2222[/C][C]0.984975[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3358&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3358&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
017.7460
10.9745247.54860
20.9370177.25810
30.8979766.95570
40.8594066.65690
50.8163736.32360
60.7700225.96460
70.7260135.62370
80.6829255.28991e-06
90.6367334.93213e-06
100.5825724.51261.5e-05
110.5221784.04487.6e-05
120.4571813.54130.000389
130.3878993.00470.001938
140.3192782.47310.008122
150.2544951.97130.026653
160.1950841.51110.068005
170.143961.11510.134626
180.094090.72880.234475
190.0449630.34830.364424
20-0.008722-0.06760.526819
21-0.060452-0.46830.679352
22-0.114021-0.88320.809674
23-0.169275-1.31120.902606
24-0.218798-1.69480.952351
25-0.257448-1.99420.974659
26-0.286224-2.21710.984791
27-0.31545-2.44350.991247
28-0.342701-2.65450.994923
29-0.363541-2.8160.996714
30-0.385815-2.98850.997971
31-0.41152-3.18760.99886
32-0.436252-3.37920.999359
33-0.45196-3.50090.999559
34-0.460368-3.5660.99964
35-0.466557-3.61390.999691
36-0.463169-3.58770.999664
37-0.450308-3.48810.999541
38-0.4346-3.36640.999333
39-0.42335-3.27930.999132
40-0.417189-3.23150.998999
41-0.410312-3.17830.998829
42-0.400835-3.10490.998548
43-0.385282-2.98440.997947
44-0.367906-2.84980.997006
45-0.347062-2.68830.995359
46-0.320749-2.48450.99211
47-0.286888-2.22220.984975







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.9745247.54860
1-0.252097-1.95270.97224
20.0064620.05010.480123
3-0.009699-0.07510.52982
4-0.121272-0.93940.824347
5-0.049207-0.38120.647782
60.047490.36790.357138
7-0.040099-0.31060.621413
8-0.090133-0.69820.756116
9-0.15803-1.22410.887149
10-0.112597-0.87220.806704
11-0.112127-0.86850.805717
12-0.111386-0.86280.804157
130.0094680.07330.47089
140.0264880.20520.419065
150.0257910.19980.421165
160.1060810.82170.207252
17-0.075784-0.5870.720304
18-0.022664-0.17560.569383
19-0.141585-1.09670.861425
200.03670.28430.388587
21-0.100584-0.77910.780515
22-0.062791-0.48640.685763
230.0856090.66310.254896
240.0996270.77170.221658
250.0233470.18080.42855
26-0.139809-1.0830.858419
27-0.017685-0.1370.554252
280.0436770.33830.368151
29-0.15609-1.20910.88431
30-0.042491-0.32910.628401
310.0705460.54640.293394
320.1087760.84260.201407
33-0.012672-0.09820.538932
34-0.06676-0.51710.696514
350.1239670.96020.170392
360.0508690.3940.347478
37-0.123579-0.95720.828857
38-0.06882-0.53310.702026
39-0.059913-0.46410.677866
400.0406020.31450.377116
410.0154370.11960.452609
420.0673880.5220.301801
43-0.026706-0.20690.581591
44-0.024871-0.19260.576057
450.0026250.02030.491924
460.0624660.48390.315123
470.0105910.0820.467444

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.974524 & 7.5486 & 0 \tabularnewline
1 & -0.252097 & -1.9527 & 0.97224 \tabularnewline
2 & 0.006462 & 0.0501 & 0.480123 \tabularnewline
3 & -0.009699 & -0.0751 & 0.52982 \tabularnewline
4 & -0.121272 & -0.9394 & 0.824347 \tabularnewline
5 & -0.049207 & -0.3812 & 0.647782 \tabularnewline
6 & 0.04749 & 0.3679 & 0.357138 \tabularnewline
7 & -0.040099 & -0.3106 & 0.621413 \tabularnewline
8 & -0.090133 & -0.6982 & 0.756116 \tabularnewline
9 & -0.15803 & -1.2241 & 0.887149 \tabularnewline
10 & -0.112597 & -0.8722 & 0.806704 \tabularnewline
11 & -0.112127 & -0.8685 & 0.805717 \tabularnewline
12 & -0.111386 & -0.8628 & 0.804157 \tabularnewline
13 & 0.009468 & 0.0733 & 0.47089 \tabularnewline
14 & 0.026488 & 0.2052 & 0.419065 \tabularnewline
15 & 0.025791 & 0.1998 & 0.421165 \tabularnewline
16 & 0.106081 & 0.8217 & 0.207252 \tabularnewline
17 & -0.075784 & -0.587 & 0.720304 \tabularnewline
18 & -0.022664 & -0.1756 & 0.569383 \tabularnewline
19 & -0.141585 & -1.0967 & 0.861425 \tabularnewline
20 & 0.0367 & 0.2843 & 0.388587 \tabularnewline
21 & -0.100584 & -0.7791 & 0.780515 \tabularnewline
22 & -0.062791 & -0.4864 & 0.685763 \tabularnewline
23 & 0.085609 & 0.6631 & 0.254896 \tabularnewline
24 & 0.099627 & 0.7717 & 0.221658 \tabularnewline
25 & 0.023347 & 0.1808 & 0.42855 \tabularnewline
26 & -0.139809 & -1.083 & 0.858419 \tabularnewline
27 & -0.017685 & -0.137 & 0.554252 \tabularnewline
28 & 0.043677 & 0.3383 & 0.368151 \tabularnewline
29 & -0.15609 & -1.2091 & 0.88431 \tabularnewline
30 & -0.042491 & -0.3291 & 0.628401 \tabularnewline
31 & 0.070546 & 0.5464 & 0.293394 \tabularnewline
32 & 0.108776 & 0.8426 & 0.201407 \tabularnewline
33 & -0.012672 & -0.0982 & 0.538932 \tabularnewline
34 & -0.06676 & -0.5171 & 0.696514 \tabularnewline
35 & 0.123967 & 0.9602 & 0.170392 \tabularnewline
36 & 0.050869 & 0.394 & 0.347478 \tabularnewline
37 & -0.123579 & -0.9572 & 0.828857 \tabularnewline
38 & -0.06882 & -0.5331 & 0.702026 \tabularnewline
39 & -0.059913 & -0.4641 & 0.677866 \tabularnewline
40 & 0.040602 & 0.3145 & 0.377116 \tabularnewline
41 & 0.015437 & 0.1196 & 0.452609 \tabularnewline
42 & 0.067388 & 0.522 & 0.301801 \tabularnewline
43 & -0.026706 & -0.2069 & 0.581591 \tabularnewline
44 & -0.024871 & -0.1926 & 0.576057 \tabularnewline
45 & 0.002625 & 0.0203 & 0.491924 \tabularnewline
46 & 0.062466 & 0.4839 & 0.315123 \tabularnewline
47 & 0.010591 & 0.082 & 0.467444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3358&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]0.974524[/C][C]7.5486[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.252097[/C][C]-1.9527[/C][C]0.97224[/C][/ROW]
[ROW][C]2[/C][C]0.006462[/C][C]0.0501[/C][C]0.480123[/C][/ROW]
[ROW][C]3[/C][C]-0.009699[/C][C]-0.0751[/C][C]0.52982[/C][/ROW]
[ROW][C]4[/C][C]-0.121272[/C][C]-0.9394[/C][C]0.824347[/C][/ROW]
[ROW][C]5[/C][C]-0.049207[/C][C]-0.3812[/C][C]0.647782[/C][/ROW]
[ROW][C]6[/C][C]0.04749[/C][C]0.3679[/C][C]0.357138[/C][/ROW]
[ROW][C]7[/C][C]-0.040099[/C][C]-0.3106[/C][C]0.621413[/C][/ROW]
[ROW][C]8[/C][C]-0.090133[/C][C]-0.6982[/C][C]0.756116[/C][/ROW]
[ROW][C]9[/C][C]-0.15803[/C][C]-1.2241[/C][C]0.887149[/C][/ROW]
[ROW][C]10[/C][C]-0.112597[/C][C]-0.8722[/C][C]0.806704[/C][/ROW]
[ROW][C]11[/C][C]-0.112127[/C][C]-0.8685[/C][C]0.805717[/C][/ROW]
[ROW][C]12[/C][C]-0.111386[/C][C]-0.8628[/C][C]0.804157[/C][/ROW]
[ROW][C]13[/C][C]0.009468[/C][C]0.0733[/C][C]0.47089[/C][/ROW]
[ROW][C]14[/C][C]0.026488[/C][C]0.2052[/C][C]0.419065[/C][/ROW]
[ROW][C]15[/C][C]0.025791[/C][C]0.1998[/C][C]0.421165[/C][/ROW]
[ROW][C]16[/C][C]0.106081[/C][C]0.8217[/C][C]0.207252[/C][/ROW]
[ROW][C]17[/C][C]-0.075784[/C][C]-0.587[/C][C]0.720304[/C][/ROW]
[ROW][C]18[/C][C]-0.022664[/C][C]-0.1756[/C][C]0.569383[/C][/ROW]
[ROW][C]19[/C][C]-0.141585[/C][C]-1.0967[/C][C]0.861425[/C][/ROW]
[ROW][C]20[/C][C]0.0367[/C][C]0.2843[/C][C]0.388587[/C][/ROW]
[ROW][C]21[/C][C]-0.100584[/C][C]-0.7791[/C][C]0.780515[/C][/ROW]
[ROW][C]22[/C][C]-0.062791[/C][C]-0.4864[/C][C]0.685763[/C][/ROW]
[ROW][C]23[/C][C]0.085609[/C][C]0.6631[/C][C]0.254896[/C][/ROW]
[ROW][C]24[/C][C]0.099627[/C][C]0.7717[/C][C]0.221658[/C][/ROW]
[ROW][C]25[/C][C]0.023347[/C][C]0.1808[/C][C]0.42855[/C][/ROW]
[ROW][C]26[/C][C]-0.139809[/C][C]-1.083[/C][C]0.858419[/C][/ROW]
[ROW][C]27[/C][C]-0.017685[/C][C]-0.137[/C][C]0.554252[/C][/ROW]
[ROW][C]28[/C][C]0.043677[/C][C]0.3383[/C][C]0.368151[/C][/ROW]
[ROW][C]29[/C][C]-0.15609[/C][C]-1.2091[/C][C]0.88431[/C][/ROW]
[ROW][C]30[/C][C]-0.042491[/C][C]-0.3291[/C][C]0.628401[/C][/ROW]
[ROW][C]31[/C][C]0.070546[/C][C]0.5464[/C][C]0.293394[/C][/ROW]
[ROW][C]32[/C][C]0.108776[/C][C]0.8426[/C][C]0.201407[/C][/ROW]
[ROW][C]33[/C][C]-0.012672[/C][C]-0.0982[/C][C]0.538932[/C][/ROW]
[ROW][C]34[/C][C]-0.06676[/C][C]-0.5171[/C][C]0.696514[/C][/ROW]
[ROW][C]35[/C][C]0.123967[/C][C]0.9602[/C][C]0.170392[/C][/ROW]
[ROW][C]36[/C][C]0.050869[/C][C]0.394[/C][C]0.347478[/C][/ROW]
[ROW][C]37[/C][C]-0.123579[/C][C]-0.9572[/C][C]0.828857[/C][/ROW]
[ROW][C]38[/C][C]-0.06882[/C][C]-0.5331[/C][C]0.702026[/C][/ROW]
[ROW][C]39[/C][C]-0.059913[/C][C]-0.4641[/C][C]0.677866[/C][/ROW]
[ROW][C]40[/C][C]0.040602[/C][C]0.3145[/C][C]0.377116[/C][/ROW]
[ROW][C]41[/C][C]0.015437[/C][C]0.1196[/C][C]0.452609[/C][/ROW]
[ROW][C]42[/C][C]0.067388[/C][C]0.522[/C][C]0.301801[/C][/ROW]
[ROW][C]43[/C][C]-0.026706[/C][C]-0.2069[/C][C]0.581591[/C][/ROW]
[ROW][C]44[/C][C]-0.024871[/C][C]-0.1926[/C][C]0.576057[/C][/ROW]
[ROW][C]45[/C][C]0.002625[/C][C]0.0203[/C][C]0.491924[/C][/ROW]
[ROW][C]46[/C][C]0.062466[/C][C]0.4839[/C][C]0.315123[/C][/ROW]
[ROW][C]47[/C][C]0.010591[/C][C]0.082[/C][C]0.467444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3358&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3358&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
00.9745247.54860
1-0.252097-1.95270.97224
20.0064620.05010.480123
3-0.009699-0.07510.52982
4-0.121272-0.93940.824347
5-0.049207-0.38120.647782
60.047490.36790.357138
7-0.040099-0.31060.621413
8-0.090133-0.69820.756116
9-0.15803-1.22410.887149
10-0.112597-0.87220.806704
11-0.112127-0.86850.805717
12-0.111386-0.86280.804157
130.0094680.07330.47089
140.0264880.20520.419065
150.0257910.19980.421165
160.1060810.82170.207252
17-0.075784-0.5870.720304
18-0.022664-0.17560.569383
19-0.141585-1.09670.861425
200.03670.28430.388587
21-0.100584-0.77910.780515
22-0.062791-0.48640.685763
230.0856090.66310.254896
240.0996270.77170.221658
250.0233470.18080.42855
26-0.139809-1.0830.858419
27-0.017685-0.1370.554252
280.0436770.33830.368151
29-0.15609-1.20910.88431
30-0.042491-0.32910.628401
310.0705460.54640.293394
320.1087760.84260.201407
33-0.012672-0.09820.538932
34-0.06676-0.51710.696514
350.1239670.96020.170392
360.0508690.3940.347478
37-0.123579-0.95720.828857
38-0.06882-0.53310.702026
39-0.059913-0.46410.677866
400.0406020.31450.377116
410.0154370.11960.452609
420.0673880.5220.301801
43-0.026706-0.20690.581591
44-0.024871-0.19260.576057
450.0026250.02030.491924
460.0624660.48390.315123
470.0105910.0820.467444



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