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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 17 Dec 2008 10:55:25 -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/t1229536577fv7gi5ohygubjn5.htm/, Retrieved Sun, 19 May 2024 04:08:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34452, Retrieved Sun, 19 May 2024 04:08:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [cor zonder parame...] [2008-12-11 14:30:03] [e43247bc0ab243a5af99ac7f55ba0b41]
-    D  [(Partial) Autocorrelation Function] [vrouwen zonder pa...] [2008-12-11 14:46:12] [e43247bc0ab243a5af99ac7f55ba0b41]
-   PD    [(Partial) Autocorrelation Function] [werkl vrouw met j...] [2008-12-11 15:08:30] [e43247bc0ab243a5af99ac7f55ba0b41]
-   P         [(Partial) Autocorrelation Function] [correlatie met ju...] [2008-12-17 17:55:25] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
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Dataseries X:
9.0
9.1
8.7
8.2
7.9
7.9
9.1
9.4
9.5
9.1
9.0
9.3
9.9
9.8
9.4
8.3
8.0
8.5
10.4
11.1
10.9
9.9
9.2
9.2
9.5
9.6
9.5
9.1
8.9
9.0
10.1
10.3
10.2
9.6
9.2
9.3
9.4
9.4
9.2
9.0
9.0
9.0
9.8
10.0
9.9
9.3
9.0
9.0
9.1
9.1
9.1
9.2
8.8
8.3
8.4
8.1
7.8
7.9
7.9
8.0
7.9
7.5
7.2
6.9
6.6
6.7
7.3
7.5




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=34452&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=34452&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34452&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1759611.2930.100751
2-0.104937-0.77110.221997
3-0.473814-3.48180.000497
4-0.355385-2.61150.005823
5-0.123876-0.91030.183355
60.1085810.79790.214211
70.2123181.56020.062275
80.2172951.59680.058075
90.1097390.80640.211771
10-0.067482-0.49590.310994
11-0.03154-0.23180.408797
12-0.203844-1.49790.069986
13-0.091481-0.67220.252147
140.0920990.67680.250715
150.0068250.05020.480092
160.0758020.5570.289904
170.013070.0960.461922
180.0373380.27440.39242
19-0.039109-0.28740.387457
20-0.100433-0.7380.231847
21-0.032749-0.24070.405366
220.001180.00870.496557
230.06110.4490.327616
240.0907740.66710.25379
250.0913520.67130.252446
260.0294240.21620.414814
27-0.151304-1.11190.135564
28-0.161249-1.18490.120616
29-0.137785-1.01250.157904
300.0894680.65750.256842
310.0632490.46480.321977
320.2768742.03460.023407
330.0981010.72090.237042
340.0136320.10020.460287
35-0.198291-1.45710.075435
36-0.274738-2.01890.024237
37-0.05795-0.42580.335956
380.0361270.26550.395827
390.1827321.34280.092477
400.140931.03560.152497
410.0683360.50220.308796
42-0.112737-0.82840.205532
43-0.005578-0.0410.483727
44-0.106263-0.78090.219145
45-0.064571-0.47450.31853
460.0141820.10420.458692
470.0331320.24350.404283
480.0918450.67490.251304

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.175961 & 1.293 & 0.100751 \tabularnewline
2 & -0.104937 & -0.7711 & 0.221997 \tabularnewline
3 & -0.473814 & -3.4818 & 0.000497 \tabularnewline
4 & -0.355385 & -2.6115 & 0.005823 \tabularnewline
5 & -0.123876 & -0.9103 & 0.183355 \tabularnewline
6 & 0.108581 & 0.7979 & 0.214211 \tabularnewline
7 & 0.212318 & 1.5602 & 0.062275 \tabularnewline
8 & 0.217295 & 1.5968 & 0.058075 \tabularnewline
9 & 0.109739 & 0.8064 & 0.211771 \tabularnewline
10 & -0.067482 & -0.4959 & 0.310994 \tabularnewline
11 & -0.03154 & -0.2318 & 0.408797 \tabularnewline
12 & -0.203844 & -1.4979 & 0.069986 \tabularnewline
13 & -0.091481 & -0.6722 & 0.252147 \tabularnewline
14 & 0.092099 & 0.6768 & 0.250715 \tabularnewline
15 & 0.006825 & 0.0502 & 0.480092 \tabularnewline
16 & 0.075802 & 0.557 & 0.289904 \tabularnewline
17 & 0.01307 & 0.096 & 0.461922 \tabularnewline
18 & 0.037338 & 0.2744 & 0.39242 \tabularnewline
19 & -0.039109 & -0.2874 & 0.387457 \tabularnewline
20 & -0.100433 & -0.738 & 0.231847 \tabularnewline
21 & -0.032749 & -0.2407 & 0.405366 \tabularnewline
22 & 0.00118 & 0.0087 & 0.496557 \tabularnewline
23 & 0.0611 & 0.449 & 0.327616 \tabularnewline
24 & 0.090774 & 0.6671 & 0.25379 \tabularnewline
25 & 0.091352 & 0.6713 & 0.252446 \tabularnewline
26 & 0.029424 & 0.2162 & 0.414814 \tabularnewline
27 & -0.151304 & -1.1119 & 0.135564 \tabularnewline
28 & -0.161249 & -1.1849 & 0.120616 \tabularnewline
29 & -0.137785 & -1.0125 & 0.157904 \tabularnewline
30 & 0.089468 & 0.6575 & 0.256842 \tabularnewline
31 & 0.063249 & 0.4648 & 0.321977 \tabularnewline
32 & 0.276874 & 2.0346 & 0.023407 \tabularnewline
33 & 0.098101 & 0.7209 & 0.237042 \tabularnewline
34 & 0.013632 & 0.1002 & 0.460287 \tabularnewline
35 & -0.198291 & -1.4571 & 0.075435 \tabularnewline
36 & -0.274738 & -2.0189 & 0.024237 \tabularnewline
37 & -0.05795 & -0.4258 & 0.335956 \tabularnewline
38 & 0.036127 & 0.2655 & 0.395827 \tabularnewline
39 & 0.182732 & 1.3428 & 0.092477 \tabularnewline
40 & 0.14093 & 1.0356 & 0.152497 \tabularnewline
41 & 0.068336 & 0.5022 & 0.308796 \tabularnewline
42 & -0.112737 & -0.8284 & 0.205532 \tabularnewline
43 & -0.005578 & -0.041 & 0.483727 \tabularnewline
44 & -0.106263 & -0.7809 & 0.219145 \tabularnewline
45 & -0.064571 & -0.4745 & 0.31853 \tabularnewline
46 & 0.014182 & 0.1042 & 0.458692 \tabularnewline
47 & 0.033132 & 0.2435 & 0.404283 \tabularnewline
48 & 0.091845 & 0.6749 & 0.251304 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34452&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]0.175961[/C][C]1.293[/C][C]0.100751[/C][/ROW]
[ROW][C]2[/C][C]-0.104937[/C][C]-0.7711[/C][C]0.221997[/C][/ROW]
[ROW][C]3[/C][C]-0.473814[/C][C]-3.4818[/C][C]0.000497[/C][/ROW]
[ROW][C]4[/C][C]-0.355385[/C][C]-2.6115[/C][C]0.005823[/C][/ROW]
[ROW][C]5[/C][C]-0.123876[/C][C]-0.9103[/C][C]0.183355[/C][/ROW]
[ROW][C]6[/C][C]0.108581[/C][C]0.7979[/C][C]0.214211[/C][/ROW]
[ROW][C]7[/C][C]0.212318[/C][C]1.5602[/C][C]0.062275[/C][/ROW]
[ROW][C]8[/C][C]0.217295[/C][C]1.5968[/C][C]0.058075[/C][/ROW]
[ROW][C]9[/C][C]0.109739[/C][C]0.8064[/C][C]0.211771[/C][/ROW]
[ROW][C]10[/C][C]-0.067482[/C][C]-0.4959[/C][C]0.310994[/C][/ROW]
[ROW][C]11[/C][C]-0.03154[/C][C]-0.2318[/C][C]0.408797[/C][/ROW]
[ROW][C]12[/C][C]-0.203844[/C][C]-1.4979[/C][C]0.069986[/C][/ROW]
[ROW][C]13[/C][C]-0.091481[/C][C]-0.6722[/C][C]0.252147[/C][/ROW]
[ROW][C]14[/C][C]0.092099[/C][C]0.6768[/C][C]0.250715[/C][/ROW]
[ROW][C]15[/C][C]0.006825[/C][C]0.0502[/C][C]0.480092[/C][/ROW]
[ROW][C]16[/C][C]0.075802[/C][C]0.557[/C][C]0.289904[/C][/ROW]
[ROW][C]17[/C][C]0.01307[/C][C]0.096[/C][C]0.461922[/C][/ROW]
[ROW][C]18[/C][C]0.037338[/C][C]0.2744[/C][C]0.39242[/C][/ROW]
[ROW][C]19[/C][C]-0.039109[/C][C]-0.2874[/C][C]0.387457[/C][/ROW]
[ROW][C]20[/C][C]-0.100433[/C][C]-0.738[/C][C]0.231847[/C][/ROW]
[ROW][C]21[/C][C]-0.032749[/C][C]-0.2407[/C][C]0.405366[/C][/ROW]
[ROW][C]22[/C][C]0.00118[/C][C]0.0087[/C][C]0.496557[/C][/ROW]
[ROW][C]23[/C][C]0.0611[/C][C]0.449[/C][C]0.327616[/C][/ROW]
[ROW][C]24[/C][C]0.090774[/C][C]0.6671[/C][C]0.25379[/C][/ROW]
[ROW][C]25[/C][C]0.091352[/C][C]0.6713[/C][C]0.252446[/C][/ROW]
[ROW][C]26[/C][C]0.029424[/C][C]0.2162[/C][C]0.414814[/C][/ROW]
[ROW][C]27[/C][C]-0.151304[/C][C]-1.1119[/C][C]0.135564[/C][/ROW]
[ROW][C]28[/C][C]-0.161249[/C][C]-1.1849[/C][C]0.120616[/C][/ROW]
[ROW][C]29[/C][C]-0.137785[/C][C]-1.0125[/C][C]0.157904[/C][/ROW]
[ROW][C]30[/C][C]0.089468[/C][C]0.6575[/C][C]0.256842[/C][/ROW]
[ROW][C]31[/C][C]0.063249[/C][C]0.4648[/C][C]0.321977[/C][/ROW]
[ROW][C]32[/C][C]0.276874[/C][C]2.0346[/C][C]0.023407[/C][/ROW]
[ROW][C]33[/C][C]0.098101[/C][C]0.7209[/C][C]0.237042[/C][/ROW]
[ROW][C]34[/C][C]0.013632[/C][C]0.1002[/C][C]0.460287[/C][/ROW]
[ROW][C]35[/C][C]-0.198291[/C][C]-1.4571[/C][C]0.075435[/C][/ROW]
[ROW][C]36[/C][C]-0.274738[/C][C]-2.0189[/C][C]0.024237[/C][/ROW]
[ROW][C]37[/C][C]-0.05795[/C][C]-0.4258[/C][C]0.335956[/C][/ROW]
[ROW][C]38[/C][C]0.036127[/C][C]0.2655[/C][C]0.395827[/C][/ROW]
[ROW][C]39[/C][C]0.182732[/C][C]1.3428[/C][C]0.092477[/C][/ROW]
[ROW][C]40[/C][C]0.14093[/C][C]1.0356[/C][C]0.152497[/C][/ROW]
[ROW][C]41[/C][C]0.068336[/C][C]0.5022[/C][C]0.308796[/C][/ROW]
[ROW][C]42[/C][C]-0.112737[/C][C]-0.8284[/C][C]0.205532[/C][/ROW]
[ROW][C]43[/C][C]-0.005578[/C][C]-0.041[/C][C]0.483727[/C][/ROW]
[ROW][C]44[/C][C]-0.106263[/C][C]-0.7809[/C][C]0.219145[/C][/ROW]
[ROW][C]45[/C][C]-0.064571[/C][C]-0.4745[/C][C]0.31853[/C][/ROW]
[ROW][C]46[/C][C]0.014182[/C][C]0.1042[/C][C]0.458692[/C][/ROW]
[ROW][C]47[/C][C]0.033132[/C][C]0.2435[/C][C]0.404283[/C][/ROW]
[ROW][C]48[/C][C]0.091845[/C][C]0.6749[/C][C]0.251304[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34452&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34452&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
10.1759611.2930.100751
2-0.104937-0.77110.221997
3-0.473814-3.48180.000497
4-0.355385-2.61150.005823
5-0.123876-0.91030.183355
60.1085810.79790.214211
70.2123181.56020.062275
80.2172951.59680.058075
90.1097390.80640.211771
10-0.067482-0.49590.310994
11-0.03154-0.23180.408797
12-0.203844-1.49790.069986
13-0.091481-0.67220.252147
140.0920990.67680.250715
150.0068250.05020.480092
160.0758020.5570.289904
170.013070.0960.461922
180.0373380.27440.39242
19-0.039109-0.28740.387457
20-0.100433-0.7380.231847
21-0.032749-0.24070.405366
220.001180.00870.496557
230.06110.4490.327616
240.0907740.66710.25379
250.0913520.67130.252446
260.0294240.21620.414814
27-0.151304-1.11190.135564
28-0.161249-1.18490.120616
29-0.137785-1.01250.157904
300.0894680.65750.256842
310.0632490.46480.321977
320.2768742.03460.023407
330.0981010.72090.237042
340.0136320.10020.460287
35-0.198291-1.45710.075435
36-0.274738-2.01890.024237
37-0.05795-0.42580.335956
380.0361270.26550.395827
390.1827321.34280.092477
400.140931.03560.152497
410.0683360.50220.308796
42-0.112737-0.82840.205532
43-0.005578-0.0410.483727
44-0.106263-0.78090.219145
45-0.064571-0.47450.31853
460.0141820.10420.458692
470.0331320.24350.404283
480.0918450.67490.251304







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1759611.2930.100751
2-0.140241-1.03060.153671
3-0.450623-3.31140.00083
4-0.285572-2.09850.020276
5-0.207145-1.52220.066897
6-0.218244-1.60380.057301
7-0.191991-1.41080.082013
8-0.096606-0.70990.240408
9-0.047559-0.34950.364041
10-0.093843-0.68960.246698
110.1371651.0080.158987
12-0.075664-0.5560.290248
13-0.015356-0.11280.455286
140.2376571.74640.043213
15-0.087508-0.6430.261457
160.0026760.01970.492191
170.061520.45210.326511
180.0255840.1880.425789
19-0.074608-0.54830.292888
20-0.140893-1.03530.15256
21-0.016462-0.1210.452081
22-0.164826-1.21120.115543
23-0.080495-0.59150.278322
240.0243670.17910.42928
25-0.018844-0.13850.44519
260.1985451.4590.075179
27-0.035284-0.25930.3982
28-0.028136-0.20680.418488
29-0.026526-0.19490.423091
300.0239070.17570.430603
31-0.195651-1.43770.07814
320.040830.30.382651
330.0684010.50260.30863
340.0168310.12370.451012
35-0.031481-0.23130.408965
36-0.075735-0.55650.290073
370.0793320.5830.281171
38-0.004694-0.03450.486304
39-0.032603-0.23960.405782
40-0.042624-0.31320.377659
41-0.014574-0.10710.457553
42-0.09314-0.68440.248314
430.040670.29890.383096
44-0.095025-0.69830.243998
45-0.057555-0.42290.337009
460.0162790.11960.452612
47-0.019812-0.14560.442394
48-0.081235-0.5970.276517

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.175961 & 1.293 & 0.100751 \tabularnewline
2 & -0.140241 & -1.0306 & 0.153671 \tabularnewline
3 & -0.450623 & -3.3114 & 0.00083 \tabularnewline
4 & -0.285572 & -2.0985 & 0.020276 \tabularnewline
5 & -0.207145 & -1.5222 & 0.066897 \tabularnewline
6 & -0.218244 & -1.6038 & 0.057301 \tabularnewline
7 & -0.191991 & -1.4108 & 0.082013 \tabularnewline
8 & -0.096606 & -0.7099 & 0.240408 \tabularnewline
9 & -0.047559 & -0.3495 & 0.364041 \tabularnewline
10 & -0.093843 & -0.6896 & 0.246698 \tabularnewline
11 & 0.137165 & 1.008 & 0.158987 \tabularnewline
12 & -0.075664 & -0.556 & 0.290248 \tabularnewline
13 & -0.015356 & -0.1128 & 0.455286 \tabularnewline
14 & 0.237657 & 1.7464 & 0.043213 \tabularnewline
15 & -0.087508 & -0.643 & 0.261457 \tabularnewline
16 & 0.002676 & 0.0197 & 0.492191 \tabularnewline
17 & 0.06152 & 0.4521 & 0.326511 \tabularnewline
18 & 0.025584 & 0.188 & 0.425789 \tabularnewline
19 & -0.074608 & -0.5483 & 0.292888 \tabularnewline
20 & -0.140893 & -1.0353 & 0.15256 \tabularnewline
21 & -0.016462 & -0.121 & 0.452081 \tabularnewline
22 & -0.164826 & -1.2112 & 0.115543 \tabularnewline
23 & -0.080495 & -0.5915 & 0.278322 \tabularnewline
24 & 0.024367 & 0.1791 & 0.42928 \tabularnewline
25 & -0.018844 & -0.1385 & 0.44519 \tabularnewline
26 & 0.198545 & 1.459 & 0.075179 \tabularnewline
27 & -0.035284 & -0.2593 & 0.3982 \tabularnewline
28 & -0.028136 & -0.2068 & 0.418488 \tabularnewline
29 & -0.026526 & -0.1949 & 0.423091 \tabularnewline
30 & 0.023907 & 0.1757 & 0.430603 \tabularnewline
31 & -0.195651 & -1.4377 & 0.07814 \tabularnewline
32 & 0.04083 & 0.3 & 0.382651 \tabularnewline
33 & 0.068401 & 0.5026 & 0.30863 \tabularnewline
34 & 0.016831 & 0.1237 & 0.451012 \tabularnewline
35 & -0.031481 & -0.2313 & 0.408965 \tabularnewline
36 & -0.075735 & -0.5565 & 0.290073 \tabularnewline
37 & 0.079332 & 0.583 & 0.281171 \tabularnewline
38 & -0.004694 & -0.0345 & 0.486304 \tabularnewline
39 & -0.032603 & -0.2396 & 0.405782 \tabularnewline
40 & -0.042624 & -0.3132 & 0.377659 \tabularnewline
41 & -0.014574 & -0.1071 & 0.457553 \tabularnewline
42 & -0.09314 & -0.6844 & 0.248314 \tabularnewline
43 & 0.04067 & 0.2989 & 0.383096 \tabularnewline
44 & -0.095025 & -0.6983 & 0.243998 \tabularnewline
45 & -0.057555 & -0.4229 & 0.337009 \tabularnewline
46 & 0.016279 & 0.1196 & 0.452612 \tabularnewline
47 & -0.019812 & -0.1456 & 0.442394 \tabularnewline
48 & -0.081235 & -0.597 & 0.276517 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34452&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]0.175961[/C][C]1.293[/C][C]0.100751[/C][/ROW]
[ROW][C]2[/C][C]-0.140241[/C][C]-1.0306[/C][C]0.153671[/C][/ROW]
[ROW][C]3[/C][C]-0.450623[/C][C]-3.3114[/C][C]0.00083[/C][/ROW]
[ROW][C]4[/C][C]-0.285572[/C][C]-2.0985[/C][C]0.020276[/C][/ROW]
[ROW][C]5[/C][C]-0.207145[/C][C]-1.5222[/C][C]0.066897[/C][/ROW]
[ROW][C]6[/C][C]-0.218244[/C][C]-1.6038[/C][C]0.057301[/C][/ROW]
[ROW][C]7[/C][C]-0.191991[/C][C]-1.4108[/C][C]0.082013[/C][/ROW]
[ROW][C]8[/C][C]-0.096606[/C][C]-0.7099[/C][C]0.240408[/C][/ROW]
[ROW][C]9[/C][C]-0.047559[/C][C]-0.3495[/C][C]0.364041[/C][/ROW]
[ROW][C]10[/C][C]-0.093843[/C][C]-0.6896[/C][C]0.246698[/C][/ROW]
[ROW][C]11[/C][C]0.137165[/C][C]1.008[/C][C]0.158987[/C][/ROW]
[ROW][C]12[/C][C]-0.075664[/C][C]-0.556[/C][C]0.290248[/C][/ROW]
[ROW][C]13[/C][C]-0.015356[/C][C]-0.1128[/C][C]0.455286[/C][/ROW]
[ROW][C]14[/C][C]0.237657[/C][C]1.7464[/C][C]0.043213[/C][/ROW]
[ROW][C]15[/C][C]-0.087508[/C][C]-0.643[/C][C]0.261457[/C][/ROW]
[ROW][C]16[/C][C]0.002676[/C][C]0.0197[/C][C]0.492191[/C][/ROW]
[ROW][C]17[/C][C]0.06152[/C][C]0.4521[/C][C]0.326511[/C][/ROW]
[ROW][C]18[/C][C]0.025584[/C][C]0.188[/C][C]0.425789[/C][/ROW]
[ROW][C]19[/C][C]-0.074608[/C][C]-0.5483[/C][C]0.292888[/C][/ROW]
[ROW][C]20[/C][C]-0.140893[/C][C]-1.0353[/C][C]0.15256[/C][/ROW]
[ROW][C]21[/C][C]-0.016462[/C][C]-0.121[/C][C]0.452081[/C][/ROW]
[ROW][C]22[/C][C]-0.164826[/C][C]-1.2112[/C][C]0.115543[/C][/ROW]
[ROW][C]23[/C][C]-0.080495[/C][C]-0.5915[/C][C]0.278322[/C][/ROW]
[ROW][C]24[/C][C]0.024367[/C][C]0.1791[/C][C]0.42928[/C][/ROW]
[ROW][C]25[/C][C]-0.018844[/C][C]-0.1385[/C][C]0.44519[/C][/ROW]
[ROW][C]26[/C][C]0.198545[/C][C]1.459[/C][C]0.075179[/C][/ROW]
[ROW][C]27[/C][C]-0.035284[/C][C]-0.2593[/C][C]0.3982[/C][/ROW]
[ROW][C]28[/C][C]-0.028136[/C][C]-0.2068[/C][C]0.418488[/C][/ROW]
[ROW][C]29[/C][C]-0.026526[/C][C]-0.1949[/C][C]0.423091[/C][/ROW]
[ROW][C]30[/C][C]0.023907[/C][C]0.1757[/C][C]0.430603[/C][/ROW]
[ROW][C]31[/C][C]-0.195651[/C][C]-1.4377[/C][C]0.07814[/C][/ROW]
[ROW][C]32[/C][C]0.04083[/C][C]0.3[/C][C]0.382651[/C][/ROW]
[ROW][C]33[/C][C]0.068401[/C][C]0.5026[/C][C]0.30863[/C][/ROW]
[ROW][C]34[/C][C]0.016831[/C][C]0.1237[/C][C]0.451012[/C][/ROW]
[ROW][C]35[/C][C]-0.031481[/C][C]-0.2313[/C][C]0.408965[/C][/ROW]
[ROW][C]36[/C][C]-0.075735[/C][C]-0.5565[/C][C]0.290073[/C][/ROW]
[ROW][C]37[/C][C]0.079332[/C][C]0.583[/C][C]0.281171[/C][/ROW]
[ROW][C]38[/C][C]-0.004694[/C][C]-0.0345[/C][C]0.486304[/C][/ROW]
[ROW][C]39[/C][C]-0.032603[/C][C]-0.2396[/C][C]0.405782[/C][/ROW]
[ROW][C]40[/C][C]-0.042624[/C][C]-0.3132[/C][C]0.377659[/C][/ROW]
[ROW][C]41[/C][C]-0.014574[/C][C]-0.1071[/C][C]0.457553[/C][/ROW]
[ROW][C]42[/C][C]-0.09314[/C][C]-0.6844[/C][C]0.248314[/C][/ROW]
[ROW][C]43[/C][C]0.04067[/C][C]0.2989[/C][C]0.383096[/C][/ROW]
[ROW][C]44[/C][C]-0.095025[/C][C]-0.6983[/C][C]0.243998[/C][/ROW]
[ROW][C]45[/C][C]-0.057555[/C][C]-0.4229[/C][C]0.337009[/C][/ROW]
[ROW][C]46[/C][C]0.016279[/C][C]0.1196[/C][C]0.452612[/C][/ROW]
[ROW][C]47[/C][C]-0.019812[/C][C]-0.1456[/C][C]0.442394[/C][/ROW]
[ROW][C]48[/C][C]-0.081235[/C][C]-0.597[/C][C]0.276517[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34452&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34452&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
10.1759611.2930.100751
2-0.140241-1.03060.153671
3-0.450623-3.31140.00083
4-0.285572-2.09850.020276
5-0.207145-1.52220.066897
6-0.218244-1.60380.057301
7-0.191991-1.41080.082013
8-0.096606-0.70990.240408
9-0.047559-0.34950.364041
10-0.093843-0.68960.246698
110.1371651.0080.158987
12-0.075664-0.5560.290248
13-0.015356-0.11280.455286
140.2376571.74640.043213
15-0.087508-0.6430.261457
160.0026760.01970.492191
170.061520.45210.326511
180.0255840.1880.425789
19-0.074608-0.54830.292888
20-0.140893-1.03530.15256
21-0.016462-0.1210.452081
22-0.164826-1.21120.115543
23-0.080495-0.59150.278322
240.0243670.17910.42928
25-0.018844-0.13850.44519
260.1985451.4590.075179
27-0.035284-0.25930.3982
28-0.028136-0.20680.418488
29-0.026526-0.19490.423091
300.0239070.17570.430603
31-0.195651-1.43770.07814
320.040830.30.382651
330.0684010.50260.30863
340.0168310.12370.451012
35-0.031481-0.23130.408965
36-0.075735-0.55650.290073
370.0793320.5830.281171
38-0.004694-0.03450.486304
39-0.032603-0.23960.405782
40-0.042624-0.31320.377659
41-0.014574-0.10710.457553
42-0.09314-0.68440.248314
430.040670.29890.383096
44-0.095025-0.69830.243998
45-0.057555-0.42290.337009
460.0162790.11960.452612
47-0.019812-0.14560.442394
48-0.081235-0.5970.276517



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 2 ; 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')