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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 01:30:10 -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/14/t1197620069bcl4ejgqkl26gz4.htm/, Retrieved Thu, 02 May 2024 20:13:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3764, Retrieved Thu, 02 May 2024 20:13:10 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact207
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [paper: parameters...] [2007-12-14 08:30:10] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
-0.0166
-0.0122
-0.0175
-0.0178
-0.021
0.0075
0.0398
0.0106
-0.0052
-0.0176
0.0041
-0.0091
-0.0133
0.0058
0.01
0.0312
0.0384
0.0368
-0.0144
0.003
0.0003
0.0203
0.0169
0.0439
0.0151
0.0034
0.0041
0.0734
0.0081
-0.0291
-0.0233
0.0083
0.047
0.001
0.0584
0.0327
0.0033
-0.0384
-0.0277
0.0022
0.0131
0.0128
-0.009
0.0042
0.0272
0.0501
0.0417




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=3764&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=3764&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3764&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
016.85570
10.3725592.55410.006973
2-0.069789-0.47840.682726
3-0.269892-1.85030.964718
4-0.056644-0.38830.650238
5-0.071425-0.48970.686675
6-0.116036-0.79550.78484
70.0742080.50870.306655
80.0617490.42330.336994
90.0714170.48960.313343
100.0899940.6170.270117
110.1978191.35620.090761
120.060520.41490.34005
13-0.069947-0.47950.683108
14-0.216855-1.48670.928112
15-0.26895-1.84380.964241
16-0.182828-1.25340.891872
170.1177930.80760.211709
180.1945511.33380.094353
190.0919780.63060.265689
20-0.055235-0.37870.646682
21-0.020382-0.13970.555266
22-0.079418-0.54450.705652
23-0.190429-1.30550.900964
24-0.07768-0.53250.701572
25-0.019461-0.13340.552783
260.0267020.18310.427769
27-0.011121-0.07620.530224
280.1537871.05430.148565
290.1951961.33820.093635
300.0406680.27880.390809
31-0.105945-0.72630.764378
32-0.145456-0.99720.838113
33-0.035006-0.240.59431
34-0.011703-0.08020.531803
350.0265870.18230.428076
360.0011580.00790.496849
370.0117490.08050.468073
380.0539380.36980.356603
390.0658940.45170.326765
400.0282220.19350.423708
41-0.048139-0.330.628576
42-0.070599-0.4840.684685
43-0.077754-0.53310.701746
44-0.076421-0.52390.698601
45-0.060343-0.41370.659509
46-0.02903-0.1990.578447
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & 0.372559 & 2.5541 & 0.006973 \tabularnewline
2 & -0.069789 & -0.4784 & 0.682726 \tabularnewline
3 & -0.269892 & -1.8503 & 0.964718 \tabularnewline
4 & -0.056644 & -0.3883 & 0.650238 \tabularnewline
5 & -0.071425 & -0.4897 & 0.686675 \tabularnewline
6 & -0.116036 & -0.7955 & 0.78484 \tabularnewline
7 & 0.074208 & 0.5087 & 0.306655 \tabularnewline
8 & 0.061749 & 0.4233 & 0.336994 \tabularnewline
9 & 0.071417 & 0.4896 & 0.313343 \tabularnewline
10 & 0.089994 & 0.617 & 0.270117 \tabularnewline
11 & 0.197819 & 1.3562 & 0.090761 \tabularnewline
12 & 0.06052 & 0.4149 & 0.34005 \tabularnewline
13 & -0.069947 & -0.4795 & 0.683108 \tabularnewline
14 & -0.216855 & -1.4867 & 0.928112 \tabularnewline
15 & -0.26895 & -1.8438 & 0.964241 \tabularnewline
16 & -0.182828 & -1.2534 & 0.891872 \tabularnewline
17 & 0.117793 & 0.8076 & 0.211709 \tabularnewline
18 & 0.194551 & 1.3338 & 0.094353 \tabularnewline
19 & 0.091978 & 0.6306 & 0.265689 \tabularnewline
20 & -0.055235 & -0.3787 & 0.646682 \tabularnewline
21 & -0.020382 & -0.1397 & 0.555266 \tabularnewline
22 & -0.079418 & -0.5445 & 0.705652 \tabularnewline
23 & -0.190429 & -1.3055 & 0.900964 \tabularnewline
24 & -0.07768 & -0.5325 & 0.701572 \tabularnewline
25 & -0.019461 & -0.1334 & 0.552783 \tabularnewline
26 & 0.026702 & 0.1831 & 0.427769 \tabularnewline
27 & -0.011121 & -0.0762 & 0.530224 \tabularnewline
28 & 0.153787 & 1.0543 & 0.148565 \tabularnewline
29 & 0.195196 & 1.3382 & 0.093635 \tabularnewline
30 & 0.040668 & 0.2788 & 0.390809 \tabularnewline
31 & -0.105945 & -0.7263 & 0.764378 \tabularnewline
32 & -0.145456 & -0.9972 & 0.838113 \tabularnewline
33 & -0.035006 & -0.24 & 0.59431 \tabularnewline
34 & -0.011703 & -0.0802 & 0.531803 \tabularnewline
35 & 0.026587 & 0.1823 & 0.428076 \tabularnewline
36 & 0.001158 & 0.0079 & 0.496849 \tabularnewline
37 & 0.011749 & 0.0805 & 0.468073 \tabularnewline
38 & 0.053938 & 0.3698 & 0.356603 \tabularnewline
39 & 0.065894 & 0.4517 & 0.326765 \tabularnewline
40 & 0.028222 & 0.1935 & 0.423708 \tabularnewline
41 & -0.048139 & -0.33 & 0.628576 \tabularnewline
42 & -0.070599 & -0.484 & 0.684685 \tabularnewline
43 & -0.077754 & -0.5331 & 0.701746 \tabularnewline
44 & -0.076421 & -0.5239 & 0.698601 \tabularnewline
45 & -0.060343 & -0.4137 & 0.659509 \tabularnewline
46 & -0.02903 & -0.199 & 0.578447 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3764&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]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.372559[/C][C]2.5541[/C][C]0.006973[/C][/ROW]
[ROW][C]2[/C][C]-0.069789[/C][C]-0.4784[/C][C]0.682726[/C][/ROW]
[ROW][C]3[/C][C]-0.269892[/C][C]-1.8503[/C][C]0.964718[/C][/ROW]
[ROW][C]4[/C][C]-0.056644[/C][C]-0.3883[/C][C]0.650238[/C][/ROW]
[ROW][C]5[/C][C]-0.071425[/C][C]-0.4897[/C][C]0.686675[/C][/ROW]
[ROW][C]6[/C][C]-0.116036[/C][C]-0.7955[/C][C]0.78484[/C][/ROW]
[ROW][C]7[/C][C]0.074208[/C][C]0.5087[/C][C]0.306655[/C][/ROW]
[ROW][C]8[/C][C]0.061749[/C][C]0.4233[/C][C]0.336994[/C][/ROW]
[ROW][C]9[/C][C]0.071417[/C][C]0.4896[/C][C]0.313343[/C][/ROW]
[ROW][C]10[/C][C]0.089994[/C][C]0.617[/C][C]0.270117[/C][/ROW]
[ROW][C]11[/C][C]0.197819[/C][C]1.3562[/C][C]0.090761[/C][/ROW]
[ROW][C]12[/C][C]0.06052[/C][C]0.4149[/C][C]0.34005[/C][/ROW]
[ROW][C]13[/C][C]-0.069947[/C][C]-0.4795[/C][C]0.683108[/C][/ROW]
[ROW][C]14[/C][C]-0.216855[/C][C]-1.4867[/C][C]0.928112[/C][/ROW]
[ROW][C]15[/C][C]-0.26895[/C][C]-1.8438[/C][C]0.964241[/C][/ROW]
[ROW][C]16[/C][C]-0.182828[/C][C]-1.2534[/C][C]0.891872[/C][/ROW]
[ROW][C]17[/C][C]0.117793[/C][C]0.8076[/C][C]0.211709[/C][/ROW]
[ROW][C]18[/C][C]0.194551[/C][C]1.3338[/C][C]0.094353[/C][/ROW]
[ROW][C]19[/C][C]0.091978[/C][C]0.6306[/C][C]0.265689[/C][/ROW]
[ROW][C]20[/C][C]-0.055235[/C][C]-0.3787[/C][C]0.646682[/C][/ROW]
[ROW][C]21[/C][C]-0.020382[/C][C]-0.1397[/C][C]0.555266[/C][/ROW]
[ROW][C]22[/C][C]-0.079418[/C][C]-0.5445[/C][C]0.705652[/C][/ROW]
[ROW][C]23[/C][C]-0.190429[/C][C]-1.3055[/C][C]0.900964[/C][/ROW]
[ROW][C]24[/C][C]-0.07768[/C][C]-0.5325[/C][C]0.701572[/C][/ROW]
[ROW][C]25[/C][C]-0.019461[/C][C]-0.1334[/C][C]0.552783[/C][/ROW]
[ROW][C]26[/C][C]0.026702[/C][C]0.1831[/C][C]0.427769[/C][/ROW]
[ROW][C]27[/C][C]-0.011121[/C][C]-0.0762[/C][C]0.530224[/C][/ROW]
[ROW][C]28[/C][C]0.153787[/C][C]1.0543[/C][C]0.148565[/C][/ROW]
[ROW][C]29[/C][C]0.195196[/C][C]1.3382[/C][C]0.093635[/C][/ROW]
[ROW][C]30[/C][C]0.040668[/C][C]0.2788[/C][C]0.390809[/C][/ROW]
[ROW][C]31[/C][C]-0.105945[/C][C]-0.7263[/C][C]0.764378[/C][/ROW]
[ROW][C]32[/C][C]-0.145456[/C][C]-0.9972[/C][C]0.838113[/C][/ROW]
[ROW][C]33[/C][C]-0.035006[/C][C]-0.24[/C][C]0.59431[/C][/ROW]
[ROW][C]34[/C][C]-0.011703[/C][C]-0.0802[/C][C]0.531803[/C][/ROW]
[ROW][C]35[/C][C]0.026587[/C][C]0.1823[/C][C]0.428076[/C][/ROW]
[ROW][C]36[/C][C]0.001158[/C][C]0.0079[/C][C]0.496849[/C][/ROW]
[ROW][C]37[/C][C]0.011749[/C][C]0.0805[/C][C]0.468073[/C][/ROW]
[ROW][C]38[/C][C]0.053938[/C][C]0.3698[/C][C]0.356603[/C][/ROW]
[ROW][C]39[/C][C]0.065894[/C][C]0.4517[/C][C]0.326765[/C][/ROW]
[ROW][C]40[/C][C]0.028222[/C][C]0.1935[/C][C]0.423708[/C][/ROW]
[ROW][C]41[/C][C]-0.048139[/C][C]-0.33[/C][C]0.628576[/C][/ROW]
[ROW][C]42[/C][C]-0.070599[/C][C]-0.484[/C][C]0.684685[/C][/ROW]
[ROW][C]43[/C][C]-0.077754[/C][C]-0.5331[/C][C]0.701746[/C][/ROW]
[ROW][C]44[/C][C]-0.076421[/C][C]-0.5239[/C][C]0.698601[/C][/ROW]
[ROW][C]45[/C][C]-0.060343[/C][C]-0.4137[/C][C]0.659509[/C][/ROW]
[ROW][C]46[/C][C]-0.02903[/C][C]-0.199[/C][C]0.578447[/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=3764&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3764&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
016.85570
10.3725592.55410.006973
2-0.069789-0.47840.682726
3-0.269892-1.85030.964718
4-0.056644-0.38830.650238
5-0.071425-0.48970.686675
6-0.116036-0.79550.78484
70.0742080.50870.306655
80.0617490.42330.336994
90.0714170.48960.313343
100.0899940.6170.270117
110.1978191.35620.090761
120.060520.41490.34005
13-0.069947-0.47950.683108
14-0.216855-1.48670.928112
15-0.26895-1.84380.964241
16-0.182828-1.25340.891872
170.1177930.80760.211709
180.1945511.33380.094353
190.0919780.63060.265689
20-0.055235-0.37870.646682
21-0.020382-0.13970.555266
22-0.079418-0.54450.705652
23-0.190429-1.30550.900964
24-0.07768-0.53250.701572
25-0.019461-0.13340.552783
260.0267020.18310.427769
27-0.011121-0.07620.530224
280.1537871.05430.148565
290.1951961.33820.093635
300.0406680.27880.390809
31-0.105945-0.72630.764378
32-0.145456-0.99720.838113
33-0.035006-0.240.59431
34-0.011703-0.08020.531803
350.0265870.18230.428076
360.0011580.00790.496849
370.0117490.08050.468073
380.0539380.36980.356603
390.0658940.45170.326765
400.0282220.19350.423708
41-0.048139-0.330.628576
42-0.070599-0.4840.684685
43-0.077754-0.53310.701746
44-0.076421-0.52390.698601
45-0.060343-0.41370.659509
46-0.02903-0.1990.578447
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.3725592.55410.006973
1-0.242207-1.66050.948263
2-0.18177-1.24620.890558
30.1442360.98880.163904
4-0.199806-1.36980.911371
5-0.101153-0.69350.754285
60.251731.72580.045479
7-0.198363-1.35990.909827
80.0848510.58170.28177
90.2349461.61070.05697
10-0.002648-0.01820.507203
11-0.034706-0.23790.593517
120.124830.85580.198227
13-0.291869-2.0010.974404
14-0.190195-1.30390.900693
150.1211460.83050.205217
160.0886340.60760.273175
17-0.200737-1.37620.912357
180.1678931.1510.127774
19-0.062079-0.42560.663827
20-0.182615-1.25190.891608
210.0341860.23440.407859
22-0.074488-0.51070.694013
23-0.040491-0.27760.608728
240.046210.31680.3764
250.0478370.3280.3722
26-0.00129-0.00880.50351
270.0837850.57440.284219
280.077730.53290.29831
29-0.155748-1.06780.854457
30-0.005718-0.03920.515552
310.0794260.54450.29433
320.0421330.28880.386984
33-0.048421-0.3320.629302
340.0025510.01750.493059
35-0.055836-0.38280.648201
36-0.106753-0.73190.766057
370.0194870.13360.447145
380.0477510.32740.372422
39-0.065598-0.44970.672508
400.0044450.03050.487911
410.0663950.45520.325536
42-0.082442-0.56520.712684
43-0.054383-0.37280.644526
44-0.067256-0.46110.676568
45-0.160311-1.0990.861325
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.372559 & 2.5541 & 0.006973 \tabularnewline
1 & -0.242207 & -1.6605 & 0.948263 \tabularnewline
2 & -0.18177 & -1.2462 & 0.890558 \tabularnewline
3 & 0.144236 & 0.9888 & 0.163904 \tabularnewline
4 & -0.199806 & -1.3698 & 0.911371 \tabularnewline
5 & -0.101153 & -0.6935 & 0.754285 \tabularnewline
6 & 0.25173 & 1.7258 & 0.045479 \tabularnewline
7 & -0.198363 & -1.3599 & 0.909827 \tabularnewline
8 & 0.084851 & 0.5817 & 0.28177 \tabularnewline
9 & 0.234946 & 1.6107 & 0.05697 \tabularnewline
10 & -0.002648 & -0.0182 & 0.507203 \tabularnewline
11 & -0.034706 & -0.2379 & 0.593517 \tabularnewline
12 & 0.12483 & 0.8558 & 0.198227 \tabularnewline
13 & -0.291869 & -2.001 & 0.974404 \tabularnewline
14 & -0.190195 & -1.3039 & 0.900693 \tabularnewline
15 & 0.121146 & 0.8305 & 0.205217 \tabularnewline
16 & 0.088634 & 0.6076 & 0.273175 \tabularnewline
17 & -0.200737 & -1.3762 & 0.912357 \tabularnewline
18 & 0.167893 & 1.151 & 0.127774 \tabularnewline
19 & -0.062079 & -0.4256 & 0.663827 \tabularnewline
20 & -0.182615 & -1.2519 & 0.891608 \tabularnewline
21 & 0.034186 & 0.2344 & 0.407859 \tabularnewline
22 & -0.074488 & -0.5107 & 0.694013 \tabularnewline
23 & -0.040491 & -0.2776 & 0.608728 \tabularnewline
24 & 0.04621 & 0.3168 & 0.3764 \tabularnewline
25 & 0.047837 & 0.328 & 0.3722 \tabularnewline
26 & -0.00129 & -0.0088 & 0.50351 \tabularnewline
27 & 0.083785 & 0.5744 & 0.284219 \tabularnewline
28 & 0.07773 & 0.5329 & 0.29831 \tabularnewline
29 & -0.155748 & -1.0678 & 0.854457 \tabularnewline
30 & -0.005718 & -0.0392 & 0.515552 \tabularnewline
31 & 0.079426 & 0.5445 & 0.29433 \tabularnewline
32 & 0.042133 & 0.2888 & 0.386984 \tabularnewline
33 & -0.048421 & -0.332 & 0.629302 \tabularnewline
34 & 0.002551 & 0.0175 & 0.493059 \tabularnewline
35 & -0.055836 & -0.3828 & 0.648201 \tabularnewline
36 & -0.106753 & -0.7319 & 0.766057 \tabularnewline
37 & 0.019487 & 0.1336 & 0.447145 \tabularnewline
38 & 0.047751 & 0.3274 & 0.372422 \tabularnewline
39 & -0.065598 & -0.4497 & 0.672508 \tabularnewline
40 & 0.004445 & 0.0305 & 0.487911 \tabularnewline
41 & 0.066395 & 0.4552 & 0.325536 \tabularnewline
42 & -0.082442 & -0.5652 & 0.712684 \tabularnewline
43 & -0.054383 & -0.3728 & 0.644526 \tabularnewline
44 & -0.067256 & -0.4611 & 0.676568 \tabularnewline
45 & -0.160311 & -1.099 & 0.861325 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3764&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]0.372559[/C][C]2.5541[/C][C]0.006973[/C][/ROW]
[ROW][C]1[/C][C]-0.242207[/C][C]-1.6605[/C][C]0.948263[/C][/ROW]
[ROW][C]2[/C][C]-0.18177[/C][C]-1.2462[/C][C]0.890558[/C][/ROW]
[ROW][C]3[/C][C]0.144236[/C][C]0.9888[/C][C]0.163904[/C][/ROW]
[ROW][C]4[/C][C]-0.199806[/C][C]-1.3698[/C][C]0.911371[/C][/ROW]
[ROW][C]5[/C][C]-0.101153[/C][C]-0.6935[/C][C]0.754285[/C][/ROW]
[ROW][C]6[/C][C]0.25173[/C][C]1.7258[/C][C]0.045479[/C][/ROW]
[ROW][C]7[/C][C]-0.198363[/C][C]-1.3599[/C][C]0.909827[/C][/ROW]
[ROW][C]8[/C][C]0.084851[/C][C]0.5817[/C][C]0.28177[/C][/ROW]
[ROW][C]9[/C][C]0.234946[/C][C]1.6107[/C][C]0.05697[/C][/ROW]
[ROW][C]10[/C][C]-0.002648[/C][C]-0.0182[/C][C]0.507203[/C][/ROW]
[ROW][C]11[/C][C]-0.034706[/C][C]-0.2379[/C][C]0.593517[/C][/ROW]
[ROW][C]12[/C][C]0.12483[/C][C]0.8558[/C][C]0.198227[/C][/ROW]
[ROW][C]13[/C][C]-0.291869[/C][C]-2.001[/C][C]0.974404[/C][/ROW]
[ROW][C]14[/C][C]-0.190195[/C][C]-1.3039[/C][C]0.900693[/C][/ROW]
[ROW][C]15[/C][C]0.121146[/C][C]0.8305[/C][C]0.205217[/C][/ROW]
[ROW][C]16[/C][C]0.088634[/C][C]0.6076[/C][C]0.273175[/C][/ROW]
[ROW][C]17[/C][C]-0.200737[/C][C]-1.3762[/C][C]0.912357[/C][/ROW]
[ROW][C]18[/C][C]0.167893[/C][C]1.151[/C][C]0.127774[/C][/ROW]
[ROW][C]19[/C][C]-0.062079[/C][C]-0.4256[/C][C]0.663827[/C][/ROW]
[ROW][C]20[/C][C]-0.182615[/C][C]-1.2519[/C][C]0.891608[/C][/ROW]
[ROW][C]21[/C][C]0.034186[/C][C]0.2344[/C][C]0.407859[/C][/ROW]
[ROW][C]22[/C][C]-0.074488[/C][C]-0.5107[/C][C]0.694013[/C][/ROW]
[ROW][C]23[/C][C]-0.040491[/C][C]-0.2776[/C][C]0.608728[/C][/ROW]
[ROW][C]24[/C][C]0.04621[/C][C]0.3168[/C][C]0.3764[/C][/ROW]
[ROW][C]25[/C][C]0.047837[/C][C]0.328[/C][C]0.3722[/C][/ROW]
[ROW][C]26[/C][C]-0.00129[/C][C]-0.0088[/C][C]0.50351[/C][/ROW]
[ROW][C]27[/C][C]0.083785[/C][C]0.5744[/C][C]0.284219[/C][/ROW]
[ROW][C]28[/C][C]0.07773[/C][C]0.5329[/C][C]0.29831[/C][/ROW]
[ROW][C]29[/C][C]-0.155748[/C][C]-1.0678[/C][C]0.854457[/C][/ROW]
[ROW][C]30[/C][C]-0.005718[/C][C]-0.0392[/C][C]0.515552[/C][/ROW]
[ROW][C]31[/C][C]0.079426[/C][C]0.5445[/C][C]0.29433[/C][/ROW]
[ROW][C]32[/C][C]0.042133[/C][C]0.2888[/C][C]0.386984[/C][/ROW]
[ROW][C]33[/C][C]-0.048421[/C][C]-0.332[/C][C]0.629302[/C][/ROW]
[ROW][C]34[/C][C]0.002551[/C][C]0.0175[/C][C]0.493059[/C][/ROW]
[ROW][C]35[/C][C]-0.055836[/C][C]-0.3828[/C][C]0.648201[/C][/ROW]
[ROW][C]36[/C][C]-0.106753[/C][C]-0.7319[/C][C]0.766057[/C][/ROW]
[ROW][C]37[/C][C]0.019487[/C][C]0.1336[/C][C]0.447145[/C][/ROW]
[ROW][C]38[/C][C]0.047751[/C][C]0.3274[/C][C]0.372422[/C][/ROW]
[ROW][C]39[/C][C]-0.065598[/C][C]-0.4497[/C][C]0.672508[/C][/ROW]
[ROW][C]40[/C][C]0.004445[/C][C]0.0305[/C][C]0.487911[/C][/ROW]
[ROW][C]41[/C][C]0.066395[/C][C]0.4552[/C][C]0.325536[/C][/ROW]
[ROW][C]42[/C][C]-0.082442[/C][C]-0.5652[/C][C]0.712684[/C][/ROW]
[ROW][C]43[/C][C]-0.054383[/C][C]-0.3728[/C][C]0.644526[/C][/ROW]
[ROW][C]44[/C][C]-0.067256[/C][C]-0.4611[/C][C]0.676568[/C][/ROW]
[ROW][C]45[/C][C]-0.160311[/C][C]-1.099[/C][C]0.861325[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/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=3764&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3764&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
00.3725592.55410.006973
1-0.242207-1.66050.948263
2-0.18177-1.24620.890558
30.1442360.98880.163904
4-0.199806-1.36980.911371
5-0.101153-0.69350.754285
60.251731.72580.045479
7-0.198363-1.35990.909827
80.0848510.58170.28177
90.2349461.61070.05697
10-0.002648-0.01820.507203
11-0.034706-0.23790.593517
120.124830.85580.198227
13-0.291869-2.0010.974404
14-0.190195-1.30390.900693
150.1211460.83050.205217
160.0886340.60760.273175
17-0.200737-1.37620.912357
180.1678931.1510.127774
19-0.062079-0.42560.663827
20-0.182615-1.25190.891608
210.0341860.23440.407859
22-0.074488-0.51070.694013
23-0.040491-0.27760.608728
240.046210.31680.3764
250.0478370.3280.3722
26-0.00129-0.00880.50351
270.0837850.57440.284219
280.077730.53290.29831
29-0.155748-1.06780.854457
30-0.005718-0.03920.515552
310.0794260.54450.29433
320.0421330.28880.386984
33-0.048421-0.3320.629302
340.0025510.01750.493059
35-0.055836-0.38280.648201
36-0.106753-0.73190.766057
370.0194870.13360.447145
380.0477510.32740.372422
39-0.065598-0.44970.672508
400.0044450.03050.487911
410.0663950.45520.325536
42-0.082442-0.56520.712684
43-0.054383-0.37280.644526
44-0.067256-0.46110.676568
45-0.160311-1.0990.861325
46NANANA
47NANANA



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