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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, 14 May 2009 11:56:37 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/14/t1242323837z9l3ico3ja9b434.htm/, Retrieved Sun, 28 Apr 2024 19:19:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40062, Retrieved Sun, 28 Apr 2024 19:19:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2009-05-14 17:56:37] [822aa141fddc67f18188afbe1dd38d3f] [Current]
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Dataseries X:
122.860
117.702
113.537
108.366
111.078
150.739
159.129
157.928
147.768
137.507
136.919
136.151
133.001
125.554
119.647
114.158
116.193
152.803
161.761
160.942
149.470
139.208
134.588
130.322
126.611
122.401
117.352
112.135
112.879
148.729
157.230
157.221
146.681
136.524
132.111
125.326
122.716
116.615
113.719
110.737
112.093
143.565
149.946
149.147
134.339
122.683
115.614
116.566
111.272
104.609
101.802
94.542
93.051
124.129
130.374
123.946
114.971
105.531
104.919
104.782
101.281
94.545
93.248
84.031
87.486
115.867
120.327
117.008
108.811
104.519
106.758
109.337




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40062&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40062&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40062&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8180296.94120
20.5203174.4151.7e-05
30.2662842.25950.01344
40.1324611.1240.13238
50.1100810.93410.176696
60.1093930.92820.178194
70.098060.83210.204061
80.0903090.76630.223003
90.1714111.45450.075081
100.3523492.98980.001909
110.5689674.82784e-06
120.6867635.82740
130.5157164.3762e-05
140.2520032.13830.017943
150.0248550.21090.416778
16-0.09524-0.80810.210835
17-0.120154-1.01950.155679
18-0.121901-1.03440.152214
19-0.127705-1.08360.141076
20-0.133027-1.12880.131371
21-0.067435-0.57220.284484
220.07460.6330.264368
230.2400682.0370.022661
240.3295112.7960.003315
250.1938421.64480.052185
26-0.012438-0.10550.458121
27-0.18289-1.55190.062539
28-0.261016-2.21480.01497
29-0.262143-2.22440.01463
30-0.249947-2.12090.018689
31-0.241895-2.05250.021876
32-0.241196-2.04660.022174
33-0.189461-1.60760.056146
34-0.089381-0.75840.225337
350.0303320.25740.398812
360.0940120.79770.213827
37-0.007877-0.06680.473447
38-0.153588-1.30320.098323
39-0.262802-2.22990.014435
40-0.297053-2.52060.006966
41-0.274975-2.33320.011216
42-0.248528-2.10880.019219
43-0.242235-2.05540.021732
44-0.251658-2.13540.018066
45-0.224861-1.9080.030189
46-0.160901-1.36530.088206
47-0.074366-0.6310.265013
48-0.021891-0.18580.42658

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.818029 & 6.9412 & 0 \tabularnewline
2 & 0.520317 & 4.415 & 1.7e-05 \tabularnewline
3 & 0.266284 & 2.2595 & 0.01344 \tabularnewline
4 & 0.132461 & 1.124 & 0.13238 \tabularnewline
5 & 0.110081 & 0.9341 & 0.176696 \tabularnewline
6 & 0.109393 & 0.9282 & 0.178194 \tabularnewline
7 & 0.09806 & 0.8321 & 0.204061 \tabularnewline
8 & 0.090309 & 0.7663 & 0.223003 \tabularnewline
9 & 0.171411 & 1.4545 & 0.075081 \tabularnewline
10 & 0.352349 & 2.9898 & 0.001909 \tabularnewline
11 & 0.568967 & 4.8278 & 4e-06 \tabularnewline
12 & 0.686763 & 5.8274 & 0 \tabularnewline
13 & 0.515716 & 4.376 & 2e-05 \tabularnewline
14 & 0.252003 & 2.1383 & 0.017943 \tabularnewline
15 & 0.024855 & 0.2109 & 0.416778 \tabularnewline
16 & -0.09524 & -0.8081 & 0.210835 \tabularnewline
17 & -0.120154 & -1.0195 & 0.155679 \tabularnewline
18 & -0.121901 & -1.0344 & 0.152214 \tabularnewline
19 & -0.127705 & -1.0836 & 0.141076 \tabularnewline
20 & -0.133027 & -1.1288 & 0.131371 \tabularnewline
21 & -0.067435 & -0.5722 & 0.284484 \tabularnewline
22 & 0.0746 & 0.633 & 0.264368 \tabularnewline
23 & 0.240068 & 2.037 & 0.022661 \tabularnewline
24 & 0.329511 & 2.796 & 0.003315 \tabularnewline
25 & 0.193842 & 1.6448 & 0.052185 \tabularnewline
26 & -0.012438 & -0.1055 & 0.458121 \tabularnewline
27 & -0.18289 & -1.5519 & 0.062539 \tabularnewline
28 & -0.261016 & -2.2148 & 0.01497 \tabularnewline
29 & -0.262143 & -2.2244 & 0.01463 \tabularnewline
30 & -0.249947 & -2.1209 & 0.018689 \tabularnewline
31 & -0.241895 & -2.0525 & 0.021876 \tabularnewline
32 & -0.241196 & -2.0466 & 0.022174 \tabularnewline
33 & -0.189461 & -1.6076 & 0.056146 \tabularnewline
34 & -0.089381 & -0.7584 & 0.225337 \tabularnewline
35 & 0.030332 & 0.2574 & 0.398812 \tabularnewline
36 & 0.094012 & 0.7977 & 0.213827 \tabularnewline
37 & -0.007877 & -0.0668 & 0.473447 \tabularnewline
38 & -0.153588 & -1.3032 & 0.098323 \tabularnewline
39 & -0.262802 & -2.2299 & 0.014435 \tabularnewline
40 & -0.297053 & -2.5206 & 0.006966 \tabularnewline
41 & -0.274975 & -2.3332 & 0.011216 \tabularnewline
42 & -0.248528 & -2.1088 & 0.019219 \tabularnewline
43 & -0.242235 & -2.0554 & 0.021732 \tabularnewline
44 & -0.251658 & -2.1354 & 0.018066 \tabularnewline
45 & -0.224861 & -1.908 & 0.030189 \tabularnewline
46 & -0.160901 & -1.3653 & 0.088206 \tabularnewline
47 & -0.074366 & -0.631 & 0.265013 \tabularnewline
48 & -0.021891 & -0.1858 & 0.42658 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40062&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]0.818029[/C][C]6.9412[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.520317[/C][C]4.415[/C][C]1.7e-05[/C][/ROW]
[ROW][C]3[/C][C]0.266284[/C][C]2.2595[/C][C]0.01344[/C][/ROW]
[ROW][C]4[/C][C]0.132461[/C][C]1.124[/C][C]0.13238[/C][/ROW]
[ROW][C]5[/C][C]0.110081[/C][C]0.9341[/C][C]0.176696[/C][/ROW]
[ROW][C]6[/C][C]0.109393[/C][C]0.9282[/C][C]0.178194[/C][/ROW]
[ROW][C]7[/C][C]0.09806[/C][C]0.8321[/C][C]0.204061[/C][/ROW]
[ROW][C]8[/C][C]0.090309[/C][C]0.7663[/C][C]0.223003[/C][/ROW]
[ROW][C]9[/C][C]0.171411[/C][C]1.4545[/C][C]0.075081[/C][/ROW]
[ROW][C]10[/C][C]0.352349[/C][C]2.9898[/C][C]0.001909[/C][/ROW]
[ROW][C]11[/C][C]0.568967[/C][C]4.8278[/C][C]4e-06[/C][/ROW]
[ROW][C]12[/C][C]0.686763[/C][C]5.8274[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.515716[/C][C]4.376[/C][C]2e-05[/C][/ROW]
[ROW][C]14[/C][C]0.252003[/C][C]2.1383[/C][C]0.017943[/C][/ROW]
[ROW][C]15[/C][C]0.024855[/C][C]0.2109[/C][C]0.416778[/C][/ROW]
[ROW][C]16[/C][C]-0.09524[/C][C]-0.8081[/C][C]0.210835[/C][/ROW]
[ROW][C]17[/C][C]-0.120154[/C][C]-1.0195[/C][C]0.155679[/C][/ROW]
[ROW][C]18[/C][C]-0.121901[/C][C]-1.0344[/C][C]0.152214[/C][/ROW]
[ROW][C]19[/C][C]-0.127705[/C][C]-1.0836[/C][C]0.141076[/C][/ROW]
[ROW][C]20[/C][C]-0.133027[/C][C]-1.1288[/C][C]0.131371[/C][/ROW]
[ROW][C]21[/C][C]-0.067435[/C][C]-0.5722[/C][C]0.284484[/C][/ROW]
[ROW][C]22[/C][C]0.0746[/C][C]0.633[/C][C]0.264368[/C][/ROW]
[ROW][C]23[/C][C]0.240068[/C][C]2.037[/C][C]0.022661[/C][/ROW]
[ROW][C]24[/C][C]0.329511[/C][C]2.796[/C][C]0.003315[/C][/ROW]
[ROW][C]25[/C][C]0.193842[/C][C]1.6448[/C][C]0.052185[/C][/ROW]
[ROW][C]26[/C][C]-0.012438[/C][C]-0.1055[/C][C]0.458121[/C][/ROW]
[ROW][C]27[/C][C]-0.18289[/C][C]-1.5519[/C][C]0.062539[/C][/ROW]
[ROW][C]28[/C][C]-0.261016[/C][C]-2.2148[/C][C]0.01497[/C][/ROW]
[ROW][C]29[/C][C]-0.262143[/C][C]-2.2244[/C][C]0.01463[/C][/ROW]
[ROW][C]30[/C][C]-0.249947[/C][C]-2.1209[/C][C]0.018689[/C][/ROW]
[ROW][C]31[/C][C]-0.241895[/C][C]-2.0525[/C][C]0.021876[/C][/ROW]
[ROW][C]32[/C][C]-0.241196[/C][C]-2.0466[/C][C]0.022174[/C][/ROW]
[ROW][C]33[/C][C]-0.189461[/C][C]-1.6076[/C][C]0.056146[/C][/ROW]
[ROW][C]34[/C][C]-0.089381[/C][C]-0.7584[/C][C]0.225337[/C][/ROW]
[ROW][C]35[/C][C]0.030332[/C][C]0.2574[/C][C]0.398812[/C][/ROW]
[ROW][C]36[/C][C]0.094012[/C][C]0.7977[/C][C]0.213827[/C][/ROW]
[ROW][C]37[/C][C]-0.007877[/C][C]-0.0668[/C][C]0.473447[/C][/ROW]
[ROW][C]38[/C][C]-0.153588[/C][C]-1.3032[/C][C]0.098323[/C][/ROW]
[ROW][C]39[/C][C]-0.262802[/C][C]-2.2299[/C][C]0.014435[/C][/ROW]
[ROW][C]40[/C][C]-0.297053[/C][C]-2.5206[/C][C]0.006966[/C][/ROW]
[ROW][C]41[/C][C]-0.274975[/C][C]-2.3332[/C][C]0.011216[/C][/ROW]
[ROW][C]42[/C][C]-0.248528[/C][C]-2.1088[/C][C]0.019219[/C][/ROW]
[ROW][C]43[/C][C]-0.242235[/C][C]-2.0554[/C][C]0.021732[/C][/ROW]
[ROW][C]44[/C][C]-0.251658[/C][C]-2.1354[/C][C]0.018066[/C][/ROW]
[ROW][C]45[/C][C]-0.224861[/C][C]-1.908[/C][C]0.030189[/C][/ROW]
[ROW][C]46[/C][C]-0.160901[/C][C]-1.3653[/C][C]0.088206[/C][/ROW]
[ROW][C]47[/C][C]-0.074366[/C][C]-0.631[/C][C]0.265013[/C][/ROW]
[ROW][C]48[/C][C]-0.021891[/C][C]-0.1858[/C][C]0.42658[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40062&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40062&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
10.8180296.94120
20.5203174.4151.7e-05
30.2662842.25950.01344
40.1324611.1240.13238
50.1100810.93410.176696
60.1093930.92820.178194
70.098060.83210.204061
80.0903090.76630.223003
90.1714111.45450.075081
100.3523492.98980.001909
110.5689674.82784e-06
120.6867635.82740
130.5157164.3762e-05
140.2520032.13830.017943
150.0248550.21090.416778
16-0.09524-0.80810.210835
17-0.120154-1.01950.155679
18-0.121901-1.03440.152214
19-0.127705-1.08360.141076
20-0.133027-1.12880.131371
21-0.067435-0.57220.284484
220.07460.6330.264368
230.2400682.0370.022661
240.3295112.7960.003315
250.1938421.64480.052185
26-0.012438-0.10550.458121
27-0.18289-1.55190.062539
28-0.261016-2.21480.01497
29-0.262143-2.22440.01463
30-0.249947-2.12090.018689
31-0.241895-2.05250.021876
32-0.241196-2.04660.022174
33-0.189461-1.60760.056146
34-0.089381-0.75840.225337
350.0303320.25740.398812
360.0940120.79770.213827
37-0.007877-0.06680.473447
38-0.153588-1.30320.098323
39-0.262802-2.22990.014435
40-0.297053-2.52060.006966
41-0.274975-2.33320.011216
42-0.248528-2.10880.019219
43-0.242235-2.05540.021732
44-0.251658-2.13540.018066
45-0.224861-1.9080.030189
46-0.160901-1.36530.088206
47-0.074366-0.6310.265013
48-0.021891-0.18580.42658







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8180296.94120
2-0.449944-3.81790.000141
30.0652070.55330.290887
40.113520.96330.169323
50.0753140.63910.262407
6-0.09613-0.81570.208685
70.0289520.24570.403319
80.0784090.66530.253984
90.3278572.7820.003447
100.2752782.33580.011145
110.2756342.33880.011062
120.0330680.28060.389914
13-0.644264-5.46680
140.2289551.94270.027979
15-0.105773-0.89750.186219
16-0.088008-0.74680.228816
17-0.14372-1.21950.113317
18-0.019085-0.16190.435904
190.0048740.04140.483562
20-0.021072-0.17880.429296
21-0.061366-0.52070.302083
22-0.05287-0.44860.327527
23-0.032837-0.27860.390665
240.0683250.57980.281943
25-0.0418-0.35470.361933
260.0113090.0960.461911
270.0459630.390.348842
280.0115390.09790.461137
290.0155850.13220.447582
30-0.051005-0.43280.33323
310.0180170.15290.43946
32-0.050487-0.42840.334819
33-0.043239-0.36690.357387
34-0.122708-1.04120.15063
350.0306170.25980.397883
36-0.077776-0.660.255695
370.0413390.35080.363391
38-0.016146-0.1370.445706
390.0172680.14650.441959
40-0.023539-0.19970.421126
410.0204370.17340.431406
420.006120.05190.479363
43-0.143119-1.21440.114281
440.0168510.1430.443351
45-0.048697-0.41320.340342
460.0248070.21050.416938
47-0.051002-0.43280.333239
480.0297960.25280.40056

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.818029 & 6.9412 & 0 \tabularnewline
2 & -0.449944 & -3.8179 & 0.000141 \tabularnewline
3 & 0.065207 & 0.5533 & 0.290887 \tabularnewline
4 & 0.11352 & 0.9633 & 0.169323 \tabularnewline
5 & 0.075314 & 0.6391 & 0.262407 \tabularnewline
6 & -0.09613 & -0.8157 & 0.208685 \tabularnewline
7 & 0.028952 & 0.2457 & 0.403319 \tabularnewline
8 & 0.078409 & 0.6653 & 0.253984 \tabularnewline
9 & 0.327857 & 2.782 & 0.003447 \tabularnewline
10 & 0.275278 & 2.3358 & 0.011145 \tabularnewline
11 & 0.275634 & 2.3388 & 0.011062 \tabularnewline
12 & 0.033068 & 0.2806 & 0.389914 \tabularnewline
13 & -0.644264 & -5.4668 & 0 \tabularnewline
14 & 0.228955 & 1.9427 & 0.027979 \tabularnewline
15 & -0.105773 & -0.8975 & 0.186219 \tabularnewline
16 & -0.088008 & -0.7468 & 0.228816 \tabularnewline
17 & -0.14372 & -1.2195 & 0.113317 \tabularnewline
18 & -0.019085 & -0.1619 & 0.435904 \tabularnewline
19 & 0.004874 & 0.0414 & 0.483562 \tabularnewline
20 & -0.021072 & -0.1788 & 0.429296 \tabularnewline
21 & -0.061366 & -0.5207 & 0.302083 \tabularnewline
22 & -0.05287 & -0.4486 & 0.327527 \tabularnewline
23 & -0.032837 & -0.2786 & 0.390665 \tabularnewline
24 & 0.068325 & 0.5798 & 0.281943 \tabularnewline
25 & -0.0418 & -0.3547 & 0.361933 \tabularnewline
26 & 0.011309 & 0.096 & 0.461911 \tabularnewline
27 & 0.045963 & 0.39 & 0.348842 \tabularnewline
28 & 0.011539 & 0.0979 & 0.461137 \tabularnewline
29 & 0.015585 & 0.1322 & 0.447582 \tabularnewline
30 & -0.051005 & -0.4328 & 0.33323 \tabularnewline
31 & 0.018017 & 0.1529 & 0.43946 \tabularnewline
32 & -0.050487 & -0.4284 & 0.334819 \tabularnewline
33 & -0.043239 & -0.3669 & 0.357387 \tabularnewline
34 & -0.122708 & -1.0412 & 0.15063 \tabularnewline
35 & 0.030617 & 0.2598 & 0.397883 \tabularnewline
36 & -0.077776 & -0.66 & 0.255695 \tabularnewline
37 & 0.041339 & 0.3508 & 0.363391 \tabularnewline
38 & -0.016146 & -0.137 & 0.445706 \tabularnewline
39 & 0.017268 & 0.1465 & 0.441959 \tabularnewline
40 & -0.023539 & -0.1997 & 0.421126 \tabularnewline
41 & 0.020437 & 0.1734 & 0.431406 \tabularnewline
42 & 0.00612 & 0.0519 & 0.479363 \tabularnewline
43 & -0.143119 & -1.2144 & 0.114281 \tabularnewline
44 & 0.016851 & 0.143 & 0.443351 \tabularnewline
45 & -0.048697 & -0.4132 & 0.340342 \tabularnewline
46 & 0.024807 & 0.2105 & 0.416938 \tabularnewline
47 & -0.051002 & -0.4328 & 0.333239 \tabularnewline
48 & 0.029796 & 0.2528 & 0.40056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40062&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]0.818029[/C][C]6.9412[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.449944[/C][C]-3.8179[/C][C]0.000141[/C][/ROW]
[ROW][C]3[/C][C]0.065207[/C][C]0.5533[/C][C]0.290887[/C][/ROW]
[ROW][C]4[/C][C]0.11352[/C][C]0.9633[/C][C]0.169323[/C][/ROW]
[ROW][C]5[/C][C]0.075314[/C][C]0.6391[/C][C]0.262407[/C][/ROW]
[ROW][C]6[/C][C]-0.09613[/C][C]-0.8157[/C][C]0.208685[/C][/ROW]
[ROW][C]7[/C][C]0.028952[/C][C]0.2457[/C][C]0.403319[/C][/ROW]
[ROW][C]8[/C][C]0.078409[/C][C]0.6653[/C][C]0.253984[/C][/ROW]
[ROW][C]9[/C][C]0.327857[/C][C]2.782[/C][C]0.003447[/C][/ROW]
[ROW][C]10[/C][C]0.275278[/C][C]2.3358[/C][C]0.011145[/C][/ROW]
[ROW][C]11[/C][C]0.275634[/C][C]2.3388[/C][C]0.011062[/C][/ROW]
[ROW][C]12[/C][C]0.033068[/C][C]0.2806[/C][C]0.389914[/C][/ROW]
[ROW][C]13[/C][C]-0.644264[/C][C]-5.4668[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.228955[/C][C]1.9427[/C][C]0.027979[/C][/ROW]
[ROW][C]15[/C][C]-0.105773[/C][C]-0.8975[/C][C]0.186219[/C][/ROW]
[ROW][C]16[/C][C]-0.088008[/C][C]-0.7468[/C][C]0.228816[/C][/ROW]
[ROW][C]17[/C][C]-0.14372[/C][C]-1.2195[/C][C]0.113317[/C][/ROW]
[ROW][C]18[/C][C]-0.019085[/C][C]-0.1619[/C][C]0.435904[/C][/ROW]
[ROW][C]19[/C][C]0.004874[/C][C]0.0414[/C][C]0.483562[/C][/ROW]
[ROW][C]20[/C][C]-0.021072[/C][C]-0.1788[/C][C]0.429296[/C][/ROW]
[ROW][C]21[/C][C]-0.061366[/C][C]-0.5207[/C][C]0.302083[/C][/ROW]
[ROW][C]22[/C][C]-0.05287[/C][C]-0.4486[/C][C]0.327527[/C][/ROW]
[ROW][C]23[/C][C]-0.032837[/C][C]-0.2786[/C][C]0.390665[/C][/ROW]
[ROW][C]24[/C][C]0.068325[/C][C]0.5798[/C][C]0.281943[/C][/ROW]
[ROW][C]25[/C][C]-0.0418[/C][C]-0.3547[/C][C]0.361933[/C][/ROW]
[ROW][C]26[/C][C]0.011309[/C][C]0.096[/C][C]0.461911[/C][/ROW]
[ROW][C]27[/C][C]0.045963[/C][C]0.39[/C][C]0.348842[/C][/ROW]
[ROW][C]28[/C][C]0.011539[/C][C]0.0979[/C][C]0.461137[/C][/ROW]
[ROW][C]29[/C][C]0.015585[/C][C]0.1322[/C][C]0.447582[/C][/ROW]
[ROW][C]30[/C][C]-0.051005[/C][C]-0.4328[/C][C]0.33323[/C][/ROW]
[ROW][C]31[/C][C]0.018017[/C][C]0.1529[/C][C]0.43946[/C][/ROW]
[ROW][C]32[/C][C]-0.050487[/C][C]-0.4284[/C][C]0.334819[/C][/ROW]
[ROW][C]33[/C][C]-0.043239[/C][C]-0.3669[/C][C]0.357387[/C][/ROW]
[ROW][C]34[/C][C]-0.122708[/C][C]-1.0412[/C][C]0.15063[/C][/ROW]
[ROW][C]35[/C][C]0.030617[/C][C]0.2598[/C][C]0.397883[/C][/ROW]
[ROW][C]36[/C][C]-0.077776[/C][C]-0.66[/C][C]0.255695[/C][/ROW]
[ROW][C]37[/C][C]0.041339[/C][C]0.3508[/C][C]0.363391[/C][/ROW]
[ROW][C]38[/C][C]-0.016146[/C][C]-0.137[/C][C]0.445706[/C][/ROW]
[ROW][C]39[/C][C]0.017268[/C][C]0.1465[/C][C]0.441959[/C][/ROW]
[ROW][C]40[/C][C]-0.023539[/C][C]-0.1997[/C][C]0.421126[/C][/ROW]
[ROW][C]41[/C][C]0.020437[/C][C]0.1734[/C][C]0.431406[/C][/ROW]
[ROW][C]42[/C][C]0.00612[/C][C]0.0519[/C][C]0.479363[/C][/ROW]
[ROW][C]43[/C][C]-0.143119[/C][C]-1.2144[/C][C]0.114281[/C][/ROW]
[ROW][C]44[/C][C]0.016851[/C][C]0.143[/C][C]0.443351[/C][/ROW]
[ROW][C]45[/C][C]-0.048697[/C][C]-0.4132[/C][C]0.340342[/C][/ROW]
[ROW][C]46[/C][C]0.024807[/C][C]0.2105[/C][C]0.416938[/C][/ROW]
[ROW][C]47[/C][C]-0.051002[/C][C]-0.4328[/C][C]0.333239[/C][/ROW]
[ROW][C]48[/C][C]0.029796[/C][C]0.2528[/C][C]0.40056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40062&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40062&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
10.8180296.94120
2-0.449944-3.81790.000141
30.0652070.55330.290887
40.113520.96330.169323
50.0753140.63910.262407
6-0.09613-0.81570.208685
70.0289520.24570.403319
80.0784090.66530.253984
90.3278572.7820.003447
100.2752782.33580.011145
110.2756342.33880.011062
120.0330680.28060.389914
13-0.644264-5.46680
140.2289551.94270.027979
15-0.105773-0.89750.186219
16-0.088008-0.74680.228816
17-0.14372-1.21950.113317
18-0.019085-0.16190.435904
190.0048740.04140.483562
20-0.021072-0.17880.429296
21-0.061366-0.52070.302083
22-0.05287-0.44860.327527
23-0.032837-0.27860.390665
240.0683250.57980.281943
25-0.0418-0.35470.361933
260.0113090.0960.461911
270.0459630.390.348842
280.0115390.09790.461137
290.0155850.13220.447582
30-0.051005-0.43280.33323
310.0180170.15290.43946
32-0.050487-0.42840.334819
33-0.043239-0.36690.357387
34-0.122708-1.04120.15063
350.0306170.25980.397883
36-0.077776-0.660.255695
370.0413390.35080.363391
38-0.016146-0.1370.445706
390.0172680.14650.441959
40-0.023539-0.19970.421126
410.0204370.17340.431406
420.006120.05190.479363
43-0.143119-1.21440.114281
440.0168510.1430.443351
45-0.048697-0.41320.340342
460.0248070.21050.416938
47-0.051002-0.43280.333239
480.0297960.25280.40056



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 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')