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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 03 Jan 2010 11:54:02 -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/2010/Jan/03/t12625448970j11xfcg6asr9u4.htm/, Retrieved Fri, 03 May 2024 14:59:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71549, Retrieved Fri, 03 May 2024 14:59:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact169

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [] [] [1970-01-01 00:00:00] [8c7c3dc396eba234a49aa27457495c03]
- RMPD    [(Partial) Autocorrelation Function] [] [2010-01-03 18:54:02] [4ed6a647410123598b51b3bdc215cd7e] [Current]
-   PD      [(Partial) Autocorrelation Function] [] [2010-01-26 15:43:17] [8c7c3dc396eba234a49aa27457495c03]
-    D      [(Partial) Autocorrelation Function] [] [2010-01-26 15:47:05] [8c7c3dc396eba234a49aa27457495c03]
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Dataset

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





Summary of computational 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 computational 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=71549&T=0

[TABLE]
[ROW][C]Summary of computational 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=71549&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71549&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 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
1-0.566916-16.59620
20.097822.86360.002145
3-0.065551-1.9190.02766
40.102452.99920.001393
5-0.098407-2.88080.002033
60.0463671.35740.087512
70.0010990.03220.487174
8-0.058252-1.70530.044251
90.041711.2210.111205
100.0327450.95860.169016
11-0.026098-0.7640.222538
12-0.020744-0.60730.271914
13-0.007385-0.21620.414442
140.0537811.57440.05788
15-0.067113-1.96470.024885
160.0710222.07910.018951
17-0.105696-3.09420.001019
180.1347513.94484.3e-05
19-0.167861-4.9141e-06
200.2036595.9620
21-0.125835-3.68380.000122
220.0112270.32870.371247
230.0162630.47610.31706
240.0315960.9250.177624
25-0.031609-0.92530.177527
26-0.034326-1.00490.157618
270.0282540.82710.204202
280.000130.00380.498483
29-0.012854-0.37630.353396
300.0604371.76930.038604
31-0.075501-2.21030.013676
320.0331540.97060.166015
330.0342591.00290.158091
34-0.040042-1.17220.120717
350.0070880.20750.417841
36-0.009996-0.29260.384944
37-0.042508-1.24440.106844
380.0975982.85710.002189
39-0.072758-2.130.01673
400.0146990.43030.333538
410.0163010.47720.316667
42-0.004047-0.11850.45286
430.0292470.85620.196062
44-0.06601-1.93240.026819
450.0317340.9290.176573
460.00380.11120.45573
470.036441.06680.14319
48-0.081607-2.3890.008555

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.566916 & -16.5962 & 0 \tabularnewline
2 & 0.09782 & 2.8636 & 0.002145 \tabularnewline
3 & -0.065551 & -1.919 & 0.02766 \tabularnewline
4 & 0.10245 & 2.9992 & 0.001393 \tabularnewline
5 & -0.098407 & -2.8808 & 0.002033 \tabularnewline
6 & 0.046367 & 1.3574 & 0.087512 \tabularnewline
7 & 0.001099 & 0.0322 & 0.487174 \tabularnewline
8 & -0.058252 & -1.7053 & 0.044251 \tabularnewline
9 & 0.04171 & 1.221 & 0.111205 \tabularnewline
10 & 0.032745 & 0.9586 & 0.169016 \tabularnewline
11 & -0.026098 & -0.764 & 0.222538 \tabularnewline
12 & -0.020744 & -0.6073 & 0.271914 \tabularnewline
13 & -0.007385 & -0.2162 & 0.414442 \tabularnewline
14 & 0.053781 & 1.5744 & 0.05788 \tabularnewline
15 & -0.067113 & -1.9647 & 0.024885 \tabularnewline
16 & 0.071022 & 2.0791 & 0.018951 \tabularnewline
17 & -0.105696 & -3.0942 & 0.001019 \tabularnewline
18 & 0.134751 & 3.9448 & 4.3e-05 \tabularnewline
19 & -0.167861 & -4.914 & 1e-06 \tabularnewline
20 & 0.203659 & 5.962 & 0 \tabularnewline
21 & -0.125835 & -3.6838 & 0.000122 \tabularnewline
22 & 0.011227 & 0.3287 & 0.371247 \tabularnewline
23 & 0.016263 & 0.4761 & 0.31706 \tabularnewline
24 & 0.031596 & 0.925 & 0.177624 \tabularnewline
25 & -0.031609 & -0.9253 & 0.177527 \tabularnewline
26 & -0.034326 & -1.0049 & 0.157618 \tabularnewline
27 & 0.028254 & 0.8271 & 0.204202 \tabularnewline
28 & 0.00013 & 0.0038 & 0.498483 \tabularnewline
29 & -0.012854 & -0.3763 & 0.353396 \tabularnewline
30 & 0.060437 & 1.7693 & 0.038604 \tabularnewline
31 & -0.075501 & -2.2103 & 0.013676 \tabularnewline
32 & 0.033154 & 0.9706 & 0.166015 \tabularnewline
33 & 0.034259 & 1.0029 & 0.158091 \tabularnewline
34 & -0.040042 & -1.1722 & 0.120717 \tabularnewline
35 & 0.007088 & 0.2075 & 0.417841 \tabularnewline
36 & -0.009996 & -0.2926 & 0.384944 \tabularnewline
37 & -0.042508 & -1.2444 & 0.106844 \tabularnewline
38 & 0.097598 & 2.8571 & 0.002189 \tabularnewline
39 & -0.072758 & -2.13 & 0.01673 \tabularnewline
40 & 0.014699 & 0.4303 & 0.333538 \tabularnewline
41 & 0.016301 & 0.4772 & 0.316667 \tabularnewline
42 & -0.004047 & -0.1185 & 0.45286 \tabularnewline
43 & 0.029247 & 0.8562 & 0.196062 \tabularnewline
44 & -0.06601 & -1.9324 & 0.026819 \tabularnewline
45 & 0.031734 & 0.929 & 0.176573 \tabularnewline
46 & 0.0038 & 0.1112 & 0.45573 \tabularnewline
47 & 0.03644 & 1.0668 & 0.14319 \tabularnewline
48 & -0.081607 & -2.389 & 0.008555 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71549&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]-0.566916[/C][C]-16.5962[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.09782[/C][C]2.8636[/C][C]0.002145[/C][/ROW]
[ROW][C]3[/C][C]-0.065551[/C][C]-1.919[/C][C]0.02766[/C][/ROW]
[ROW][C]4[/C][C]0.10245[/C][C]2.9992[/C][C]0.001393[/C][/ROW]
[ROW][C]5[/C][C]-0.098407[/C][C]-2.8808[/C][C]0.002033[/C][/ROW]
[ROW][C]6[/C][C]0.046367[/C][C]1.3574[/C][C]0.087512[/C][/ROW]
[ROW][C]7[/C][C]0.001099[/C][C]0.0322[/C][C]0.487174[/C][/ROW]
[ROW][C]8[/C][C]-0.058252[/C][C]-1.7053[/C][C]0.044251[/C][/ROW]
[ROW][C]9[/C][C]0.04171[/C][C]1.221[/C][C]0.111205[/C][/ROW]
[ROW][C]10[/C][C]0.032745[/C][C]0.9586[/C][C]0.169016[/C][/ROW]
[ROW][C]11[/C][C]-0.026098[/C][C]-0.764[/C][C]0.222538[/C][/ROW]
[ROW][C]12[/C][C]-0.020744[/C][C]-0.6073[/C][C]0.271914[/C][/ROW]
[ROW][C]13[/C][C]-0.007385[/C][C]-0.2162[/C][C]0.414442[/C][/ROW]
[ROW][C]14[/C][C]0.053781[/C][C]1.5744[/C][C]0.05788[/C][/ROW]
[ROW][C]15[/C][C]-0.067113[/C][C]-1.9647[/C][C]0.024885[/C][/ROW]
[ROW][C]16[/C][C]0.071022[/C][C]2.0791[/C][C]0.018951[/C][/ROW]
[ROW][C]17[/C][C]-0.105696[/C][C]-3.0942[/C][C]0.001019[/C][/ROW]
[ROW][C]18[/C][C]0.134751[/C][C]3.9448[/C][C]4.3e-05[/C][/ROW]
[ROW][C]19[/C][C]-0.167861[/C][C]-4.914[/C][C]1e-06[/C][/ROW]
[ROW][C]20[/C][C]0.203659[/C][C]5.962[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]-0.125835[/C][C]-3.6838[/C][C]0.000122[/C][/ROW]
[ROW][C]22[/C][C]0.011227[/C][C]0.3287[/C][C]0.371247[/C][/ROW]
[ROW][C]23[/C][C]0.016263[/C][C]0.4761[/C][C]0.31706[/C][/ROW]
[ROW][C]24[/C][C]0.031596[/C][C]0.925[/C][C]0.177624[/C][/ROW]
[ROW][C]25[/C][C]-0.031609[/C][C]-0.9253[/C][C]0.177527[/C][/ROW]
[ROW][C]26[/C][C]-0.034326[/C][C]-1.0049[/C][C]0.157618[/C][/ROW]
[ROW][C]27[/C][C]0.028254[/C][C]0.8271[/C][C]0.204202[/C][/ROW]
[ROW][C]28[/C][C]0.00013[/C][C]0.0038[/C][C]0.498483[/C][/ROW]
[ROW][C]29[/C][C]-0.012854[/C][C]-0.3763[/C][C]0.353396[/C][/ROW]
[ROW][C]30[/C][C]0.060437[/C][C]1.7693[/C][C]0.038604[/C][/ROW]
[ROW][C]31[/C][C]-0.075501[/C][C]-2.2103[/C][C]0.013676[/C][/ROW]
[ROW][C]32[/C][C]0.033154[/C][C]0.9706[/C][C]0.166015[/C][/ROW]
[ROW][C]33[/C][C]0.034259[/C][C]1.0029[/C][C]0.158091[/C][/ROW]
[ROW][C]34[/C][C]-0.040042[/C][C]-1.1722[/C][C]0.120717[/C][/ROW]
[ROW][C]35[/C][C]0.007088[/C][C]0.2075[/C][C]0.417841[/C][/ROW]
[ROW][C]36[/C][C]-0.009996[/C][C]-0.2926[/C][C]0.384944[/C][/ROW]
[ROW][C]37[/C][C]-0.042508[/C][C]-1.2444[/C][C]0.106844[/C][/ROW]
[ROW][C]38[/C][C]0.097598[/C][C]2.8571[/C][C]0.002189[/C][/ROW]
[ROW][C]39[/C][C]-0.072758[/C][C]-2.13[/C][C]0.01673[/C][/ROW]
[ROW][C]40[/C][C]0.014699[/C][C]0.4303[/C][C]0.333538[/C][/ROW]
[ROW][C]41[/C][C]0.016301[/C][C]0.4772[/C][C]0.316667[/C][/ROW]
[ROW][C]42[/C][C]-0.004047[/C][C]-0.1185[/C][C]0.45286[/C][/ROW]
[ROW][C]43[/C][C]0.029247[/C][C]0.8562[/C][C]0.196062[/C][/ROW]
[ROW][C]44[/C][C]-0.06601[/C][C]-1.9324[/C][C]0.026819[/C][/ROW]
[ROW][C]45[/C][C]0.031734[/C][C]0.929[/C][C]0.176573[/C][/ROW]
[ROW][C]46[/C][C]0.0038[/C][C]0.1112[/C][C]0.45573[/C][/ROW]
[ROW][C]47[/C][C]0.03644[/C][C]1.0668[/C][C]0.14319[/C][/ROW]
[ROW][C]48[/C][C]-0.081607[/C][C]-2.389[/C][C]0.008555[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71549&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71549&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
1-0.566916-16.59620
20.097822.86360.002145
3-0.065551-1.9190.02766
40.102452.99920.001393
5-0.098407-2.88080.002033
60.0463671.35740.087512
70.0010990.03220.487174
8-0.058252-1.70530.044251
90.041711.2210.111205
100.0327450.95860.169016
11-0.026098-0.7640.222538
12-0.020744-0.60730.271914
13-0.007385-0.21620.414442
140.0537811.57440.05788
15-0.067113-1.96470.024885
160.0710222.07910.018951
17-0.105696-3.09420.001019
180.1347513.94484.3e-05
19-0.167861-4.9141e-06
200.2036595.9620
21-0.125835-3.68380.000122
220.0112270.32870.371247
230.0162630.47610.31706
240.0315960.9250.177624
25-0.031609-0.92530.177527
26-0.034326-1.00490.157618
270.0282540.82710.204202
280.000130.00380.498483
29-0.012854-0.37630.353396
300.0604371.76930.038604
31-0.075501-2.21030.013676
320.0331540.97060.166015
330.0342591.00290.158091
34-0.040042-1.17220.120717
350.0070880.20750.417841
36-0.009996-0.29260.384944
37-0.042508-1.24440.106844
380.0975982.85710.002189
39-0.072758-2.130.01673
400.0146990.43030.333538
410.0163010.47720.316667
42-0.004047-0.11850.45286
430.0292470.85620.196062
44-0.06601-1.93240.026819
450.0317340.9290.176573
460.00380.11120.45573
470.036441.06680.14319
48-0.081607-2.3890.008555






Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.566916-16.59620
2-0.32946-9.64480
3-0.295233-8.64280
4-0.120802-3.53640.000214
5-0.142742-4.17871.6e-05
6-0.116277-3.4040.000347
7-0.062646-1.83390.033504
8-0.152841-4.47434e-06
9-0.139269-4.0772.5e-05
10-0.053003-1.55160.06056
11-0.02939-0.86040.194912
12-0.048056-1.40680.079924
13-0.10742-3.14470.00086
14-0.045394-1.32890.092118
15-0.094837-2.77630.002809
16-0.027556-0.80670.210035
17-0.14484-4.24011.2e-05
18-0.02262-0.66220.254009
19-0.1934-5.66170
20-0.023559-0.68970.245287
21-0.008116-0.23760.406129
22-0.074908-2.19290.014291
23-0.036383-1.06510.143569
24-0.003809-0.11150.455625
250.0178710.52320.300497
26-0.042652-1.24860.106071
27-0.080285-2.35030.009492
28-0.062967-1.84330.032813
29-0.089663-2.62490.004412
30-0.00481-0.14080.444027
31-0.045966-1.34560.089388
32-0.053223-1.55810.059793
330.0544991.59540.055491
34-0.012695-0.37160.355127
350.0413361.21010.113287
36-0.004164-0.12190.451498
37-0.085794-2.51160.006101
38-0.007478-0.21890.413385
39-0.025779-0.75470.225328
40-0.071218-2.08490.018688
41-0.029377-0.860.195013
42-0.03093-0.90550.18274
430.0424031.24130.107411
44-0.044482-1.30220.096599
45-0.06601-1.93240.026819
46-0.018309-0.5360.296057
470.0710192.07910.018954
48-0.041331-1.20990.113316

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.566916 & -16.5962 & 0 \tabularnewline
2 & -0.32946 & -9.6448 & 0 \tabularnewline
3 & -0.295233 & -8.6428 & 0 \tabularnewline
4 & -0.120802 & -3.5364 & 0.000214 \tabularnewline
5 & -0.142742 & -4.1787 & 1.6e-05 \tabularnewline
6 & -0.116277 & -3.404 & 0.000347 \tabularnewline
7 & -0.062646 & -1.8339 & 0.033504 \tabularnewline
8 & -0.152841 & -4.4743 & 4e-06 \tabularnewline
9 & -0.139269 & -4.077 & 2.5e-05 \tabularnewline
10 & -0.053003 & -1.5516 & 0.06056 \tabularnewline
11 & -0.02939 & -0.8604 & 0.194912 \tabularnewline
12 & -0.048056 & -1.4068 & 0.079924 \tabularnewline
13 & -0.10742 & -3.1447 & 0.00086 \tabularnewline
14 & -0.045394 & -1.3289 & 0.092118 \tabularnewline
15 & -0.094837 & -2.7763 & 0.002809 \tabularnewline
16 & -0.027556 & -0.8067 & 0.210035 \tabularnewline
17 & -0.14484 & -4.2401 & 1.2e-05 \tabularnewline
18 & -0.02262 & -0.6622 & 0.254009 \tabularnewline
19 & -0.1934 & -5.6617 & 0 \tabularnewline
20 & -0.023559 & -0.6897 & 0.245287 \tabularnewline
21 & -0.008116 & -0.2376 & 0.406129 \tabularnewline
22 & -0.074908 & -2.1929 & 0.014291 \tabularnewline
23 & -0.036383 & -1.0651 & 0.143569 \tabularnewline
24 & -0.003809 & -0.1115 & 0.455625 \tabularnewline
25 & 0.017871 & 0.5232 & 0.300497 \tabularnewline
26 & -0.042652 & -1.2486 & 0.106071 \tabularnewline
27 & -0.080285 & -2.3503 & 0.009492 \tabularnewline
28 & -0.062967 & -1.8433 & 0.032813 \tabularnewline
29 & -0.089663 & -2.6249 & 0.004412 \tabularnewline
30 & -0.00481 & -0.1408 & 0.444027 \tabularnewline
31 & -0.045966 & -1.3456 & 0.089388 \tabularnewline
32 & -0.053223 & -1.5581 & 0.059793 \tabularnewline
33 & 0.054499 & 1.5954 & 0.055491 \tabularnewline
34 & -0.012695 & -0.3716 & 0.355127 \tabularnewline
35 & 0.041336 & 1.2101 & 0.113287 \tabularnewline
36 & -0.004164 & -0.1219 & 0.451498 \tabularnewline
37 & -0.085794 & -2.5116 & 0.006101 \tabularnewline
38 & -0.007478 & -0.2189 & 0.413385 \tabularnewline
39 & -0.025779 & -0.7547 & 0.225328 \tabularnewline
40 & -0.071218 & -2.0849 & 0.018688 \tabularnewline
41 & -0.029377 & -0.86 & 0.195013 \tabularnewline
42 & -0.03093 & -0.9055 & 0.18274 \tabularnewline
43 & 0.042403 & 1.2413 & 0.107411 \tabularnewline
44 & -0.044482 & -1.3022 & 0.096599 \tabularnewline
45 & -0.06601 & -1.9324 & 0.026819 \tabularnewline
46 & -0.018309 & -0.536 & 0.296057 \tabularnewline
47 & 0.071019 & 2.0791 & 0.018954 \tabularnewline
48 & -0.041331 & -1.2099 & 0.113316 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71549&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]-0.566916[/C][C]-16.5962[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.32946[/C][C]-9.6448[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]-0.295233[/C][C]-8.6428[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]-0.120802[/C][C]-3.5364[/C][C]0.000214[/C][/ROW]
[ROW][C]5[/C][C]-0.142742[/C][C]-4.1787[/C][C]1.6e-05[/C][/ROW]
[ROW][C]6[/C][C]-0.116277[/C][C]-3.404[/C][C]0.000347[/C][/ROW]
[ROW][C]7[/C][C]-0.062646[/C][C]-1.8339[/C][C]0.033504[/C][/ROW]
[ROW][C]8[/C][C]-0.152841[/C][C]-4.4743[/C][C]4e-06[/C][/ROW]
[ROW][C]9[/C][C]-0.139269[/C][C]-4.077[/C][C]2.5e-05[/C][/ROW]
[ROW][C]10[/C][C]-0.053003[/C][C]-1.5516[/C][C]0.06056[/C][/ROW]
[ROW][C]11[/C][C]-0.02939[/C][C]-0.8604[/C][C]0.194912[/C][/ROW]
[ROW][C]12[/C][C]-0.048056[/C][C]-1.4068[/C][C]0.079924[/C][/ROW]
[ROW][C]13[/C][C]-0.10742[/C][C]-3.1447[/C][C]0.00086[/C][/ROW]
[ROW][C]14[/C][C]-0.045394[/C][C]-1.3289[/C][C]0.092118[/C][/ROW]
[ROW][C]15[/C][C]-0.094837[/C][C]-2.7763[/C][C]0.002809[/C][/ROW]
[ROW][C]16[/C][C]-0.027556[/C][C]-0.8067[/C][C]0.210035[/C][/ROW]
[ROW][C]17[/C][C]-0.14484[/C][C]-4.2401[/C][C]1.2e-05[/C][/ROW]
[ROW][C]18[/C][C]-0.02262[/C][C]-0.6622[/C][C]0.254009[/C][/ROW]
[ROW][C]19[/C][C]-0.1934[/C][C]-5.6617[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]-0.023559[/C][C]-0.6897[/C][C]0.245287[/C][/ROW]
[ROW][C]21[/C][C]-0.008116[/C][C]-0.2376[/C][C]0.406129[/C][/ROW]
[ROW][C]22[/C][C]-0.074908[/C][C]-2.1929[/C][C]0.014291[/C][/ROW]
[ROW][C]23[/C][C]-0.036383[/C][C]-1.0651[/C][C]0.143569[/C][/ROW]
[ROW][C]24[/C][C]-0.003809[/C][C]-0.1115[/C][C]0.455625[/C][/ROW]
[ROW][C]25[/C][C]0.017871[/C][C]0.5232[/C][C]0.300497[/C][/ROW]
[ROW][C]26[/C][C]-0.042652[/C][C]-1.2486[/C][C]0.106071[/C][/ROW]
[ROW][C]27[/C][C]-0.080285[/C][C]-2.3503[/C][C]0.009492[/C][/ROW]
[ROW][C]28[/C][C]-0.062967[/C][C]-1.8433[/C][C]0.032813[/C][/ROW]
[ROW][C]29[/C][C]-0.089663[/C][C]-2.6249[/C][C]0.004412[/C][/ROW]
[ROW][C]30[/C][C]-0.00481[/C][C]-0.1408[/C][C]0.444027[/C][/ROW]
[ROW][C]31[/C][C]-0.045966[/C][C]-1.3456[/C][C]0.089388[/C][/ROW]
[ROW][C]32[/C][C]-0.053223[/C][C]-1.5581[/C][C]0.059793[/C][/ROW]
[ROW][C]33[/C][C]0.054499[/C][C]1.5954[/C][C]0.055491[/C][/ROW]
[ROW][C]34[/C][C]-0.012695[/C][C]-0.3716[/C][C]0.355127[/C][/ROW]
[ROW][C]35[/C][C]0.041336[/C][C]1.2101[/C][C]0.113287[/C][/ROW]
[ROW][C]36[/C][C]-0.004164[/C][C]-0.1219[/C][C]0.451498[/C][/ROW]
[ROW][C]37[/C][C]-0.085794[/C][C]-2.5116[/C][C]0.006101[/C][/ROW]
[ROW][C]38[/C][C]-0.007478[/C][C]-0.2189[/C][C]0.413385[/C][/ROW]
[ROW][C]39[/C][C]-0.025779[/C][C]-0.7547[/C][C]0.225328[/C][/ROW]
[ROW][C]40[/C][C]-0.071218[/C][C]-2.0849[/C][C]0.018688[/C][/ROW]
[ROW][C]41[/C][C]-0.029377[/C][C]-0.86[/C][C]0.195013[/C][/ROW]
[ROW][C]42[/C][C]-0.03093[/C][C]-0.9055[/C][C]0.18274[/C][/ROW]
[ROW][C]43[/C][C]0.042403[/C][C]1.2413[/C][C]0.107411[/C][/ROW]
[ROW][C]44[/C][C]-0.044482[/C][C]-1.3022[/C][C]0.096599[/C][/ROW]
[ROW][C]45[/C][C]-0.06601[/C][C]-1.9324[/C][C]0.026819[/C][/ROW]
[ROW][C]46[/C][C]-0.018309[/C][C]-0.536[/C][C]0.296057[/C][/ROW]
[ROW][C]47[/C][C]0.071019[/C][C]2.0791[/C][C]0.018954[/C][/ROW]
[ROW][C]48[/C][C]-0.041331[/C][C]-1.2099[/C][C]0.113316[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71549&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71549&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
1-0.566916-16.59620
2-0.32946-9.64480
3-0.295233-8.64280
4-0.120802-3.53640.000214
5-0.142742-4.17871.6e-05
6-0.116277-3.4040.000347
7-0.062646-1.83390.033504
8-0.152841-4.47434e-06
9-0.139269-4.0772.5e-05
10-0.053003-1.55160.06056
11-0.02939-0.86040.194912
12-0.048056-1.40680.079924
13-0.10742-3.14470.00086
14-0.045394-1.32890.092118
15-0.094837-2.77630.002809
16-0.027556-0.80670.210035
17-0.14484-4.24011.2e-05
18-0.02262-0.66220.254009
19-0.1934-5.66170
20-0.023559-0.68970.245287
21-0.008116-0.23760.406129
22-0.074908-2.19290.014291
23-0.036383-1.06510.143569
24-0.003809-0.11150.455625
250.0178710.52320.300497
26-0.042652-1.24860.106071
27-0.080285-2.35030.009492
28-0.062967-1.84330.032813
29-0.089663-2.62490.004412
30-0.00481-0.14080.444027
31-0.045966-1.34560.089388
32-0.053223-1.55810.059793
330.0544991.59540.055491
34-0.012695-0.37160.355127
350.0413361.21010.113287
36-0.004164-0.12190.451498
37-0.085794-2.51160.006101
38-0.007478-0.21890.413385
39-0.025779-0.75470.225328
40-0.071218-2.08490.018688
41-0.029377-0.860.195013
42-0.03093-0.90550.18274
430.0424031.24130.107411
44-0.044482-1.30220.096599
45-0.06601-1.93240.026819
46-0.018309-0.5360.296057
470.0710192.07910.018954
48-0.041331-1.20990.113316


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 ;
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 (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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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 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,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,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')