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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 11:47:42 -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/2008/Dec/17/t12295396964hdaegwhdjrby73.htm/, Retrieved Mon, 27 May 2024 04:02:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34484, Retrieved Mon, 27 May 2024 04:02:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Standard Deviation-Mean Plot] [TAAK] [2008-12-16 20:59:02] [f3161d5a04a14312cd010aa8f92941cc]
- RM D  [Variance Reduction Matrix] [TAAK] [2008-12-17 18:15:17] [f3161d5a04a14312cd010aa8f92941cc]
- RMPD    [(Partial) Autocorrelation Function] [Taak] [2008-12-17 18:25:12] [f3161d5a04a14312cd010aa8f92941cc]
-   P       [(Partial) Autocorrelation Function] [Taak] [2008-12-17 18:31:00] [f3161d5a04a14312cd010aa8f92941cc]
-   PD        [(Partial) Autocorrelation Function] [Taak] [2008-12-17 18:43:02] [f3161d5a04a14312cd010aa8f92941cc]
-   P           [(Partial) Autocorrelation Function] [Taak] [2008-12-17 18:46:14] [f3161d5a04a14312cd010aa8f92941cc]
-   P               [(Partial) Autocorrelation Function] [Taak] [2008-12-17 18:47:42] [59094f58b9d90d3694e930ebd2901ecd] [Current]
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Dataseries X:
104.3
103.9
103.9
103.9
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.0
108.2
112.3
111.3
111.3
115.3
117.2
118.3
118.3
118.3
119.0
120.6
122.6
122.6
127.4
125.9
121.5
118.8
121.6
122.3
122.7
120.8
120.1
120.1
120.1
120.1
128.4
129.8
129.8
128.6
128.6
133.7
130.0
125.9
129.4
129.4
130.6
130.6
130.6
130.8
129.7
125.8
126.0
125.6
125.4
124.7
126.9
129.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34484&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34484&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34484&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0885880.69190.245814
20.0164810.12870.449001
30.1630641.27360.103823
4-0.249472-1.94840.027983
50.1144740.89410.1874
6-0.009348-0.0730.471017
7-0.157813-1.23260.111235
80.2014231.57320.060427
9-0.12922-1.00920.158424
10-0.188521-1.47240.073027
11-0.162429-1.26860.104699
12-0.455691-3.55910.000364
130.0568780.44420.329223
14-0.060034-0.46890.320414
15-0.175263-1.36890.088033
160.1683421.31480.096751
170.0106040.08280.467133
18-0.00218-0.0170.493234
190.056340.440.330736
20-0.003877-0.03030.487971
210.1522621.18920.119483
220.1389581.08530.141031
230.0433730.33880.36798
240.0834130.65150.258592
250.0283270.22120.412821
260.152891.19410.118529
270.0220510.17220.431916
28-0.173853-1.35780.089759
290.0534780.41770.338826
30-0.072233-0.56420.287356
31-0.076423-0.59690.276397
320.0037180.0290.488466
33-0.04968-0.3880.349678
340.0201330.15720.437786
350.010280.08030.468136
36-0.156466-1.2220.113198
37-0.055933-0.43690.331881
38-0.079472-0.62070.268556
390.0088670.06930.472506
400.0830170.64840.259586
41-0.110505-0.86310.195739
420.0917410.71650.238201
430.0595040.46470.321887
44-0.058256-0.4550.325365
450.016550.12930.448787
46-0.01543-0.12050.452238
470.0029290.02290.490911
480.0850810.66450.254436

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.088588 & 0.6919 & 0.245814 \tabularnewline
2 & 0.016481 & 0.1287 & 0.449001 \tabularnewline
3 & 0.163064 & 1.2736 & 0.103823 \tabularnewline
4 & -0.249472 & -1.9484 & 0.027983 \tabularnewline
5 & 0.114474 & 0.8941 & 0.1874 \tabularnewline
6 & -0.009348 & -0.073 & 0.471017 \tabularnewline
7 & -0.157813 & -1.2326 & 0.111235 \tabularnewline
8 & 0.201423 & 1.5732 & 0.060427 \tabularnewline
9 & -0.12922 & -1.0092 & 0.158424 \tabularnewline
10 & -0.188521 & -1.4724 & 0.073027 \tabularnewline
11 & -0.162429 & -1.2686 & 0.104699 \tabularnewline
12 & -0.455691 & -3.5591 & 0.000364 \tabularnewline
13 & 0.056878 & 0.4442 & 0.329223 \tabularnewline
14 & -0.060034 & -0.4689 & 0.320414 \tabularnewline
15 & -0.175263 & -1.3689 & 0.088033 \tabularnewline
16 & 0.168342 & 1.3148 & 0.096751 \tabularnewline
17 & 0.010604 & 0.0828 & 0.467133 \tabularnewline
18 & -0.00218 & -0.017 & 0.493234 \tabularnewline
19 & 0.05634 & 0.44 & 0.330736 \tabularnewline
20 & -0.003877 & -0.0303 & 0.487971 \tabularnewline
21 & 0.152262 & 1.1892 & 0.119483 \tabularnewline
22 & 0.138958 & 1.0853 & 0.141031 \tabularnewline
23 & 0.043373 & 0.3388 & 0.36798 \tabularnewline
24 & 0.083413 & 0.6515 & 0.258592 \tabularnewline
25 & 0.028327 & 0.2212 & 0.412821 \tabularnewline
26 & 0.15289 & 1.1941 & 0.118529 \tabularnewline
27 & 0.022051 & 0.1722 & 0.431916 \tabularnewline
28 & -0.173853 & -1.3578 & 0.089759 \tabularnewline
29 & 0.053478 & 0.4177 & 0.338826 \tabularnewline
30 & -0.072233 & -0.5642 & 0.287356 \tabularnewline
31 & -0.076423 & -0.5969 & 0.276397 \tabularnewline
32 & 0.003718 & 0.029 & 0.488466 \tabularnewline
33 & -0.04968 & -0.388 & 0.349678 \tabularnewline
34 & 0.020133 & 0.1572 & 0.437786 \tabularnewline
35 & 0.01028 & 0.0803 & 0.468136 \tabularnewline
36 & -0.156466 & -1.222 & 0.113198 \tabularnewline
37 & -0.055933 & -0.4369 & 0.331881 \tabularnewline
38 & -0.079472 & -0.6207 & 0.268556 \tabularnewline
39 & 0.008867 & 0.0693 & 0.472506 \tabularnewline
40 & 0.083017 & 0.6484 & 0.259586 \tabularnewline
41 & -0.110505 & -0.8631 & 0.195739 \tabularnewline
42 & 0.091741 & 0.7165 & 0.238201 \tabularnewline
43 & 0.059504 & 0.4647 & 0.321887 \tabularnewline
44 & -0.058256 & -0.455 & 0.325365 \tabularnewline
45 & 0.01655 & 0.1293 & 0.448787 \tabularnewline
46 & -0.01543 & -0.1205 & 0.452238 \tabularnewline
47 & 0.002929 & 0.0229 & 0.490911 \tabularnewline
48 & 0.085081 & 0.6645 & 0.254436 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34484&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]0.088588[/C][C]0.6919[/C][C]0.245814[/C][/ROW]
[ROW][C]2[/C][C]0.016481[/C][C]0.1287[/C][C]0.449001[/C][/ROW]
[ROW][C]3[/C][C]0.163064[/C][C]1.2736[/C][C]0.103823[/C][/ROW]
[ROW][C]4[/C][C]-0.249472[/C][C]-1.9484[/C][C]0.027983[/C][/ROW]
[ROW][C]5[/C][C]0.114474[/C][C]0.8941[/C][C]0.1874[/C][/ROW]
[ROW][C]6[/C][C]-0.009348[/C][C]-0.073[/C][C]0.471017[/C][/ROW]
[ROW][C]7[/C][C]-0.157813[/C][C]-1.2326[/C][C]0.111235[/C][/ROW]
[ROW][C]8[/C][C]0.201423[/C][C]1.5732[/C][C]0.060427[/C][/ROW]
[ROW][C]9[/C][C]-0.12922[/C][C]-1.0092[/C][C]0.158424[/C][/ROW]
[ROW][C]10[/C][C]-0.188521[/C][C]-1.4724[/C][C]0.073027[/C][/ROW]
[ROW][C]11[/C][C]-0.162429[/C][C]-1.2686[/C][C]0.104699[/C][/ROW]
[ROW][C]12[/C][C]-0.455691[/C][C]-3.5591[/C][C]0.000364[/C][/ROW]
[ROW][C]13[/C][C]0.056878[/C][C]0.4442[/C][C]0.329223[/C][/ROW]
[ROW][C]14[/C][C]-0.060034[/C][C]-0.4689[/C][C]0.320414[/C][/ROW]
[ROW][C]15[/C][C]-0.175263[/C][C]-1.3689[/C][C]0.088033[/C][/ROW]
[ROW][C]16[/C][C]0.168342[/C][C]1.3148[/C][C]0.096751[/C][/ROW]
[ROW][C]17[/C][C]0.010604[/C][C]0.0828[/C][C]0.467133[/C][/ROW]
[ROW][C]18[/C][C]-0.00218[/C][C]-0.017[/C][C]0.493234[/C][/ROW]
[ROW][C]19[/C][C]0.05634[/C][C]0.44[/C][C]0.330736[/C][/ROW]
[ROW][C]20[/C][C]-0.003877[/C][C]-0.0303[/C][C]0.487971[/C][/ROW]
[ROW][C]21[/C][C]0.152262[/C][C]1.1892[/C][C]0.119483[/C][/ROW]
[ROW][C]22[/C][C]0.138958[/C][C]1.0853[/C][C]0.141031[/C][/ROW]
[ROW][C]23[/C][C]0.043373[/C][C]0.3388[/C][C]0.36798[/C][/ROW]
[ROW][C]24[/C][C]0.083413[/C][C]0.6515[/C][C]0.258592[/C][/ROW]
[ROW][C]25[/C][C]0.028327[/C][C]0.2212[/C][C]0.412821[/C][/ROW]
[ROW][C]26[/C][C]0.15289[/C][C]1.1941[/C][C]0.118529[/C][/ROW]
[ROW][C]27[/C][C]0.022051[/C][C]0.1722[/C][C]0.431916[/C][/ROW]
[ROW][C]28[/C][C]-0.173853[/C][C]-1.3578[/C][C]0.089759[/C][/ROW]
[ROW][C]29[/C][C]0.053478[/C][C]0.4177[/C][C]0.338826[/C][/ROW]
[ROW][C]30[/C][C]-0.072233[/C][C]-0.5642[/C][C]0.287356[/C][/ROW]
[ROW][C]31[/C][C]-0.076423[/C][C]-0.5969[/C][C]0.276397[/C][/ROW]
[ROW][C]32[/C][C]0.003718[/C][C]0.029[/C][C]0.488466[/C][/ROW]
[ROW][C]33[/C][C]-0.04968[/C][C]-0.388[/C][C]0.349678[/C][/ROW]
[ROW][C]34[/C][C]0.020133[/C][C]0.1572[/C][C]0.437786[/C][/ROW]
[ROW][C]35[/C][C]0.01028[/C][C]0.0803[/C][C]0.468136[/C][/ROW]
[ROW][C]36[/C][C]-0.156466[/C][C]-1.222[/C][C]0.113198[/C][/ROW]
[ROW][C]37[/C][C]-0.055933[/C][C]-0.4369[/C][C]0.331881[/C][/ROW]
[ROW][C]38[/C][C]-0.079472[/C][C]-0.6207[/C][C]0.268556[/C][/ROW]
[ROW][C]39[/C][C]0.008867[/C][C]0.0693[/C][C]0.472506[/C][/ROW]
[ROW][C]40[/C][C]0.083017[/C][C]0.6484[/C][C]0.259586[/C][/ROW]
[ROW][C]41[/C][C]-0.110505[/C][C]-0.8631[/C][C]0.195739[/C][/ROW]
[ROW][C]42[/C][C]0.091741[/C][C]0.7165[/C][C]0.238201[/C][/ROW]
[ROW][C]43[/C][C]0.059504[/C][C]0.4647[/C][C]0.321887[/C][/ROW]
[ROW][C]44[/C][C]-0.058256[/C][C]-0.455[/C][C]0.325365[/C][/ROW]
[ROW][C]45[/C][C]0.01655[/C][C]0.1293[/C][C]0.448787[/C][/ROW]
[ROW][C]46[/C][C]-0.01543[/C][C]-0.1205[/C][C]0.452238[/C][/ROW]
[ROW][C]47[/C][C]0.002929[/C][C]0.0229[/C][C]0.490911[/C][/ROW]
[ROW][C]48[/C][C]0.085081[/C][C]0.6645[/C][C]0.254436[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34484&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34484&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
10.0885880.69190.245814
20.0164810.12870.449001
30.1630641.27360.103823
4-0.249472-1.94840.027983
50.1144740.89410.1874
6-0.009348-0.0730.471017
7-0.157813-1.23260.111235
80.2014231.57320.060427
9-0.12922-1.00920.158424
10-0.188521-1.47240.073027
11-0.162429-1.26860.104699
12-0.455691-3.55910.000364
130.0568780.44420.329223
14-0.060034-0.46890.320414
15-0.175263-1.36890.088033
160.1683421.31480.096751
170.0106040.08280.467133
18-0.00218-0.0170.493234
190.056340.440.330736
20-0.003877-0.03030.487971
210.1522621.18920.119483
220.1389581.08530.141031
230.0433730.33880.36798
240.0834130.65150.258592
250.0283270.22120.412821
260.152891.19410.118529
270.0220510.17220.431916
28-0.173853-1.35780.089759
290.0534780.41770.338826
30-0.072233-0.56420.287356
31-0.076423-0.59690.276397
320.0037180.0290.488466
33-0.04968-0.3880.349678
340.0201330.15720.437786
350.010280.08030.468136
36-0.156466-1.2220.113198
37-0.055933-0.43690.331881
38-0.079472-0.62070.268556
390.0088670.06930.472506
400.0830170.64840.259586
41-0.110505-0.86310.195739
420.0917410.71650.238201
430.0595040.46470.321887
44-0.058256-0.4550.325365
450.016550.12930.448787
46-0.01543-0.12050.452238
470.0029290.02290.490911
480.0850810.66450.254436







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0885880.69190.245814
20.0087020.0680.473019
30.1621311.26630.105114
4-0.287613-2.24630.014157
50.1932341.50920.068204
6-0.098946-0.77280.221315
7-0.045779-0.35750.360958
80.1251890.97780.166029
9-0.118072-0.92220.180036
10-0.167435-1.30770.097939
11-0.256943-2.00680.024605
12-0.326264-2.54820.006681
130.1175460.91810.181101
14-0.158267-1.23610.110579
15-0.08277-0.64650.260204
16-0.041593-0.32490.373202
170.1337061.04430.15024
18-0.091818-0.71710.238018
19-0.058133-0.4540.325708
200.1550771.21120.115247
21-0.020401-0.15930.436966
22-0.054442-0.42520.336093
23-0.077341-0.60410.274024
24-0.089497-0.6990.243607
250.0395640.3090.379186
260.0826840.64580.260421
27-0.038889-0.30370.381183
28-0.148986-1.16360.124555
290.118320.92410.179536
30-0.118777-0.92770.178615
310.0178470.13940.444802
320.0831320.64930.259296
330.1019590.79630.214465
34-0.052445-0.40960.341765
350.0383120.29920.382892
36-0.10586-0.82680.205789
370.0046090.0360.4857
38-0.059399-0.46390.322177
390.0021810.0170.493233
40-0.086903-0.67870.249938
41-0.046532-0.36340.358771
42-0.073766-0.57610.283323
43-0.000155-0.00120.499518
440.0902170.70460.241865
45-0.025847-0.20190.420344
46-0.060066-0.46910.320325
47-0.026115-0.2040.41953
48-0.075587-0.59040.278568

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.088588 & 0.6919 & 0.245814 \tabularnewline
2 & 0.008702 & 0.068 & 0.473019 \tabularnewline
3 & 0.162131 & 1.2663 & 0.105114 \tabularnewline
4 & -0.287613 & -2.2463 & 0.014157 \tabularnewline
5 & 0.193234 & 1.5092 & 0.068204 \tabularnewline
6 & -0.098946 & -0.7728 & 0.221315 \tabularnewline
7 & -0.045779 & -0.3575 & 0.360958 \tabularnewline
8 & 0.125189 & 0.9778 & 0.166029 \tabularnewline
9 & -0.118072 & -0.9222 & 0.180036 \tabularnewline
10 & -0.167435 & -1.3077 & 0.097939 \tabularnewline
11 & -0.256943 & -2.0068 & 0.024605 \tabularnewline
12 & -0.326264 & -2.5482 & 0.006681 \tabularnewline
13 & 0.117546 & 0.9181 & 0.181101 \tabularnewline
14 & -0.158267 & -1.2361 & 0.110579 \tabularnewline
15 & -0.08277 & -0.6465 & 0.260204 \tabularnewline
16 & -0.041593 & -0.3249 & 0.373202 \tabularnewline
17 & 0.133706 & 1.0443 & 0.15024 \tabularnewline
18 & -0.091818 & -0.7171 & 0.238018 \tabularnewline
19 & -0.058133 & -0.454 & 0.325708 \tabularnewline
20 & 0.155077 & 1.2112 & 0.115247 \tabularnewline
21 & -0.020401 & -0.1593 & 0.436966 \tabularnewline
22 & -0.054442 & -0.4252 & 0.336093 \tabularnewline
23 & -0.077341 & -0.6041 & 0.274024 \tabularnewline
24 & -0.089497 & -0.699 & 0.243607 \tabularnewline
25 & 0.039564 & 0.309 & 0.379186 \tabularnewline
26 & 0.082684 & 0.6458 & 0.260421 \tabularnewline
27 & -0.038889 & -0.3037 & 0.381183 \tabularnewline
28 & -0.148986 & -1.1636 & 0.124555 \tabularnewline
29 & 0.11832 & 0.9241 & 0.179536 \tabularnewline
30 & -0.118777 & -0.9277 & 0.178615 \tabularnewline
31 & 0.017847 & 0.1394 & 0.444802 \tabularnewline
32 & 0.083132 & 0.6493 & 0.259296 \tabularnewline
33 & 0.101959 & 0.7963 & 0.214465 \tabularnewline
34 & -0.052445 & -0.4096 & 0.341765 \tabularnewline
35 & 0.038312 & 0.2992 & 0.382892 \tabularnewline
36 & -0.10586 & -0.8268 & 0.205789 \tabularnewline
37 & 0.004609 & 0.036 & 0.4857 \tabularnewline
38 & -0.059399 & -0.4639 & 0.322177 \tabularnewline
39 & 0.002181 & 0.017 & 0.493233 \tabularnewline
40 & -0.086903 & -0.6787 & 0.249938 \tabularnewline
41 & -0.046532 & -0.3634 & 0.358771 \tabularnewline
42 & -0.073766 & -0.5761 & 0.283323 \tabularnewline
43 & -0.000155 & -0.0012 & 0.499518 \tabularnewline
44 & 0.090217 & 0.7046 & 0.241865 \tabularnewline
45 & -0.025847 & -0.2019 & 0.420344 \tabularnewline
46 & -0.060066 & -0.4691 & 0.320325 \tabularnewline
47 & -0.026115 & -0.204 & 0.41953 \tabularnewline
48 & -0.075587 & -0.5904 & 0.278568 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34484&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]0.088588[/C][C]0.6919[/C][C]0.245814[/C][/ROW]
[ROW][C]2[/C][C]0.008702[/C][C]0.068[/C][C]0.473019[/C][/ROW]
[ROW][C]3[/C][C]0.162131[/C][C]1.2663[/C][C]0.105114[/C][/ROW]
[ROW][C]4[/C][C]-0.287613[/C][C]-2.2463[/C][C]0.014157[/C][/ROW]
[ROW][C]5[/C][C]0.193234[/C][C]1.5092[/C][C]0.068204[/C][/ROW]
[ROW][C]6[/C][C]-0.098946[/C][C]-0.7728[/C][C]0.221315[/C][/ROW]
[ROW][C]7[/C][C]-0.045779[/C][C]-0.3575[/C][C]0.360958[/C][/ROW]
[ROW][C]8[/C][C]0.125189[/C][C]0.9778[/C][C]0.166029[/C][/ROW]
[ROW][C]9[/C][C]-0.118072[/C][C]-0.9222[/C][C]0.180036[/C][/ROW]
[ROW][C]10[/C][C]-0.167435[/C][C]-1.3077[/C][C]0.097939[/C][/ROW]
[ROW][C]11[/C][C]-0.256943[/C][C]-2.0068[/C][C]0.024605[/C][/ROW]
[ROW][C]12[/C][C]-0.326264[/C][C]-2.5482[/C][C]0.006681[/C][/ROW]
[ROW][C]13[/C][C]0.117546[/C][C]0.9181[/C][C]0.181101[/C][/ROW]
[ROW][C]14[/C][C]-0.158267[/C][C]-1.2361[/C][C]0.110579[/C][/ROW]
[ROW][C]15[/C][C]-0.08277[/C][C]-0.6465[/C][C]0.260204[/C][/ROW]
[ROW][C]16[/C][C]-0.041593[/C][C]-0.3249[/C][C]0.373202[/C][/ROW]
[ROW][C]17[/C][C]0.133706[/C][C]1.0443[/C][C]0.15024[/C][/ROW]
[ROW][C]18[/C][C]-0.091818[/C][C]-0.7171[/C][C]0.238018[/C][/ROW]
[ROW][C]19[/C][C]-0.058133[/C][C]-0.454[/C][C]0.325708[/C][/ROW]
[ROW][C]20[/C][C]0.155077[/C][C]1.2112[/C][C]0.115247[/C][/ROW]
[ROW][C]21[/C][C]-0.020401[/C][C]-0.1593[/C][C]0.436966[/C][/ROW]
[ROW][C]22[/C][C]-0.054442[/C][C]-0.4252[/C][C]0.336093[/C][/ROW]
[ROW][C]23[/C][C]-0.077341[/C][C]-0.6041[/C][C]0.274024[/C][/ROW]
[ROW][C]24[/C][C]-0.089497[/C][C]-0.699[/C][C]0.243607[/C][/ROW]
[ROW][C]25[/C][C]0.039564[/C][C]0.309[/C][C]0.379186[/C][/ROW]
[ROW][C]26[/C][C]0.082684[/C][C]0.6458[/C][C]0.260421[/C][/ROW]
[ROW][C]27[/C][C]-0.038889[/C][C]-0.3037[/C][C]0.381183[/C][/ROW]
[ROW][C]28[/C][C]-0.148986[/C][C]-1.1636[/C][C]0.124555[/C][/ROW]
[ROW][C]29[/C][C]0.11832[/C][C]0.9241[/C][C]0.179536[/C][/ROW]
[ROW][C]30[/C][C]-0.118777[/C][C]-0.9277[/C][C]0.178615[/C][/ROW]
[ROW][C]31[/C][C]0.017847[/C][C]0.1394[/C][C]0.444802[/C][/ROW]
[ROW][C]32[/C][C]0.083132[/C][C]0.6493[/C][C]0.259296[/C][/ROW]
[ROW][C]33[/C][C]0.101959[/C][C]0.7963[/C][C]0.214465[/C][/ROW]
[ROW][C]34[/C][C]-0.052445[/C][C]-0.4096[/C][C]0.341765[/C][/ROW]
[ROW][C]35[/C][C]0.038312[/C][C]0.2992[/C][C]0.382892[/C][/ROW]
[ROW][C]36[/C][C]-0.10586[/C][C]-0.8268[/C][C]0.205789[/C][/ROW]
[ROW][C]37[/C][C]0.004609[/C][C]0.036[/C][C]0.4857[/C][/ROW]
[ROW][C]38[/C][C]-0.059399[/C][C]-0.4639[/C][C]0.322177[/C][/ROW]
[ROW][C]39[/C][C]0.002181[/C][C]0.017[/C][C]0.493233[/C][/ROW]
[ROW][C]40[/C][C]-0.086903[/C][C]-0.6787[/C][C]0.249938[/C][/ROW]
[ROW][C]41[/C][C]-0.046532[/C][C]-0.3634[/C][C]0.358771[/C][/ROW]
[ROW][C]42[/C][C]-0.073766[/C][C]-0.5761[/C][C]0.283323[/C][/ROW]
[ROW][C]43[/C][C]-0.000155[/C][C]-0.0012[/C][C]0.499518[/C][/ROW]
[ROW][C]44[/C][C]0.090217[/C][C]0.7046[/C][C]0.241865[/C][/ROW]
[ROW][C]45[/C][C]-0.025847[/C][C]-0.2019[/C][C]0.420344[/C][/ROW]
[ROW][C]46[/C][C]-0.060066[/C][C]-0.4691[/C][C]0.320325[/C][/ROW]
[ROW][C]47[/C][C]-0.026115[/C][C]-0.204[/C][C]0.41953[/C][/ROW]
[ROW][C]48[/C][C]-0.075587[/C][C]-0.5904[/C][C]0.278568[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34484&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34484&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
10.0885880.69190.245814
20.0087020.0680.473019
30.1621311.26630.105114
4-0.287613-2.24630.014157
50.1932341.50920.068204
6-0.098946-0.77280.221315
7-0.045779-0.35750.360958
80.1251890.97780.166029
9-0.118072-0.92220.180036
10-0.167435-1.30770.097939
11-0.256943-2.00680.024605
12-0.326264-2.54820.006681
130.1175460.91810.181101
14-0.158267-1.23610.110579
15-0.08277-0.64650.260204
16-0.041593-0.32490.373202
170.1337061.04430.15024
18-0.091818-0.71710.238018
19-0.058133-0.4540.325708
200.1550771.21120.115247
21-0.020401-0.15930.436966
22-0.054442-0.42520.336093
23-0.077341-0.60410.274024
24-0.089497-0.6990.243607
250.0395640.3090.379186
260.0826840.64580.260421
27-0.038889-0.30370.381183
28-0.148986-1.16360.124555
290.118320.92410.179536
30-0.118777-0.92770.178615
310.0178470.13940.444802
320.0831320.64930.259296
330.1019590.79630.214465
34-0.052445-0.40960.341765
350.0383120.29920.382892
36-0.10586-0.82680.205789
370.0046090.0360.4857
38-0.059399-0.46390.322177
390.0021810.0170.493233
40-0.086903-0.67870.249938
41-0.046532-0.36340.358771
42-0.073766-0.57610.283323
43-0.000155-0.00120.499518
440.0902170.70460.241865
45-0.025847-0.20190.420344
46-0.060066-0.46910.320325
47-0.026115-0.2040.41953
48-0.075587-0.59040.278568



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