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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 computationMon, 08 Dec 2008 12:18:55 -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/08/t12287639941h539vhzj1h7g92.htm/, Retrieved Thu, 16 May 2024 17:13:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30774, Retrieved Thu, 16 May 2024 17:13:26 +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)
F     [Law of Averages] [Random Walk Simul...] [2008-11-25 18:31:28] [b98453cac15ba1066b407e146608df68]
- RMPD  [Standard Deviation-Mean Plot] [Q5: Standard Devi...] [2008-11-30 15:50:04] [44ec60eb6065a3f81a5f756bd5af1faf]
- RM D    [Variance Reduction Matrix] [VRM: Werkloosheid...] [2008-12-01 10:54:28] [44ec60eb6065a3f81a5f756bd5af1faf]
- RMP       [Spectral Analysis] [Spectraal analyse...] [2008-12-08 19:02:27] [44ec60eb6065a3f81a5f756bd5af1faf]
- RMP           [(Partial) Autocorrelation Function] [ACF - Werklooshei...] [2008-12-08 19:18:55] [924502d03698cd41cacbcd1327858815] [Current]
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Dataseries X:
7.8
7.6
7.5
7.6
7.5
7.3
7.6
7.5
7.6
7.9
7.9
8.1
8.2
8
7.5
6.8
6.5
6.6
7.6
8
8
7.7
7.5
7.6
7.7
7.9
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.1
7.9
7.3
6.9
6.6
6.7
6.9
7
7.1
7.2
7.1
6.9
7
6.8
6.4
6.7
6.7
6.4
6.3
6.2
6.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30774&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30774&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30774&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3443382.64490.005227
2-0.022233-0.17080.432492
3-0.298514-2.29290.012717
4-0.413016-3.17240.0012
5-0.147363-1.13190.131125
6-0.027241-0.20920.417489
70.0618940.47540.318124
8-0.058681-0.45070.326914
9-0.099605-0.76510.223637
10-0.034802-0.26730.395076
11-0.044546-0.34220.366722
120.2510491.92830.029314
130.1053680.80930.210784
140.184871.420.080433
150.0845660.64960.259247
16-0.051483-0.39540.34697
17-0.084824-0.65150.258613
18-0.103929-0.79830.213951
190.0110860.08520.466214
20-0.06562-0.5040.308055
21-0.040896-0.31410.377267
22-0.103908-0.79810.213998
23-0.228274-1.75340.042363
24-0.006218-0.04780.481033
25-0.015188-0.11670.453762
260.1951851.49920.069571
270.253141.94440.02831
280.1361241.04560.150009
290.0923760.70960.240387
30-0.080655-0.61950.268979
31-0.11299-0.86790.194484
32-0.166099-1.27580.103508
33-0.105862-0.81310.209704
34-0.071234-0.54720.293168
35-0.036838-0.2830.389101
360.1235930.94930.173161
370.0425930.32720.372353
38-0.022702-0.17440.431083
39-0.007107-0.05460.478325
400.0211770.16270.43567
410.0928260.7130.239324
420.0668740.51370.304701
430.001580.01210.49518
44-0.097951-0.75240.227408
45-0.017946-0.13780.445416
46-0.027457-0.21090.416846
47-0.052171-0.40070.345031
480.0539850.41470.339945

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.344338 & 2.6449 & 0.005227 \tabularnewline
2 & -0.022233 & -0.1708 & 0.432492 \tabularnewline
3 & -0.298514 & -2.2929 & 0.012717 \tabularnewline
4 & -0.413016 & -3.1724 & 0.0012 \tabularnewline
5 & -0.147363 & -1.1319 & 0.131125 \tabularnewline
6 & -0.027241 & -0.2092 & 0.417489 \tabularnewline
7 & 0.061894 & 0.4754 & 0.318124 \tabularnewline
8 & -0.058681 & -0.4507 & 0.326914 \tabularnewline
9 & -0.099605 & -0.7651 & 0.223637 \tabularnewline
10 & -0.034802 & -0.2673 & 0.395076 \tabularnewline
11 & -0.044546 & -0.3422 & 0.366722 \tabularnewline
12 & 0.251049 & 1.9283 & 0.029314 \tabularnewline
13 & 0.105368 & 0.8093 & 0.210784 \tabularnewline
14 & 0.18487 & 1.42 & 0.080433 \tabularnewline
15 & 0.084566 & 0.6496 & 0.259247 \tabularnewline
16 & -0.051483 & -0.3954 & 0.34697 \tabularnewline
17 & -0.084824 & -0.6515 & 0.258613 \tabularnewline
18 & -0.103929 & -0.7983 & 0.213951 \tabularnewline
19 & 0.011086 & 0.0852 & 0.466214 \tabularnewline
20 & -0.06562 & -0.504 & 0.308055 \tabularnewline
21 & -0.040896 & -0.3141 & 0.377267 \tabularnewline
22 & -0.103908 & -0.7981 & 0.213998 \tabularnewline
23 & -0.228274 & -1.7534 & 0.042363 \tabularnewline
24 & -0.006218 & -0.0478 & 0.481033 \tabularnewline
25 & -0.015188 & -0.1167 & 0.453762 \tabularnewline
26 & 0.195185 & 1.4992 & 0.069571 \tabularnewline
27 & 0.25314 & 1.9444 & 0.02831 \tabularnewline
28 & 0.136124 & 1.0456 & 0.150009 \tabularnewline
29 & 0.092376 & 0.7096 & 0.240387 \tabularnewline
30 & -0.080655 & -0.6195 & 0.268979 \tabularnewline
31 & -0.11299 & -0.8679 & 0.194484 \tabularnewline
32 & -0.166099 & -1.2758 & 0.103508 \tabularnewline
33 & -0.105862 & -0.8131 & 0.209704 \tabularnewline
34 & -0.071234 & -0.5472 & 0.293168 \tabularnewline
35 & -0.036838 & -0.283 & 0.389101 \tabularnewline
36 & 0.123593 & 0.9493 & 0.173161 \tabularnewline
37 & 0.042593 & 0.3272 & 0.372353 \tabularnewline
38 & -0.022702 & -0.1744 & 0.431083 \tabularnewline
39 & -0.007107 & -0.0546 & 0.478325 \tabularnewline
40 & 0.021177 & 0.1627 & 0.43567 \tabularnewline
41 & 0.092826 & 0.713 & 0.239324 \tabularnewline
42 & 0.066874 & 0.5137 & 0.304701 \tabularnewline
43 & 0.00158 & 0.0121 & 0.49518 \tabularnewline
44 & -0.097951 & -0.7524 & 0.227408 \tabularnewline
45 & -0.017946 & -0.1378 & 0.445416 \tabularnewline
46 & -0.027457 & -0.2109 & 0.416846 \tabularnewline
47 & -0.052171 & -0.4007 & 0.345031 \tabularnewline
48 & 0.053985 & 0.4147 & 0.339945 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30774&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]0.344338[/C][C]2.6449[/C][C]0.005227[/C][/ROW]
[ROW][C]2[/C][C]-0.022233[/C][C]-0.1708[/C][C]0.432492[/C][/ROW]
[ROW][C]3[/C][C]-0.298514[/C][C]-2.2929[/C][C]0.012717[/C][/ROW]
[ROW][C]4[/C][C]-0.413016[/C][C]-3.1724[/C][C]0.0012[/C][/ROW]
[ROW][C]5[/C][C]-0.147363[/C][C]-1.1319[/C][C]0.131125[/C][/ROW]
[ROW][C]6[/C][C]-0.027241[/C][C]-0.2092[/C][C]0.417489[/C][/ROW]
[ROW][C]7[/C][C]0.061894[/C][C]0.4754[/C][C]0.318124[/C][/ROW]
[ROW][C]8[/C][C]-0.058681[/C][C]-0.4507[/C][C]0.326914[/C][/ROW]
[ROW][C]9[/C][C]-0.099605[/C][C]-0.7651[/C][C]0.223637[/C][/ROW]
[ROW][C]10[/C][C]-0.034802[/C][C]-0.2673[/C][C]0.395076[/C][/ROW]
[ROW][C]11[/C][C]-0.044546[/C][C]-0.3422[/C][C]0.366722[/C][/ROW]
[ROW][C]12[/C][C]0.251049[/C][C]1.9283[/C][C]0.029314[/C][/ROW]
[ROW][C]13[/C][C]0.105368[/C][C]0.8093[/C][C]0.210784[/C][/ROW]
[ROW][C]14[/C][C]0.18487[/C][C]1.42[/C][C]0.080433[/C][/ROW]
[ROW][C]15[/C][C]0.084566[/C][C]0.6496[/C][C]0.259247[/C][/ROW]
[ROW][C]16[/C][C]-0.051483[/C][C]-0.3954[/C][C]0.34697[/C][/ROW]
[ROW][C]17[/C][C]-0.084824[/C][C]-0.6515[/C][C]0.258613[/C][/ROW]
[ROW][C]18[/C][C]-0.103929[/C][C]-0.7983[/C][C]0.213951[/C][/ROW]
[ROW][C]19[/C][C]0.011086[/C][C]0.0852[/C][C]0.466214[/C][/ROW]
[ROW][C]20[/C][C]-0.06562[/C][C]-0.504[/C][C]0.308055[/C][/ROW]
[ROW][C]21[/C][C]-0.040896[/C][C]-0.3141[/C][C]0.377267[/C][/ROW]
[ROW][C]22[/C][C]-0.103908[/C][C]-0.7981[/C][C]0.213998[/C][/ROW]
[ROW][C]23[/C][C]-0.228274[/C][C]-1.7534[/C][C]0.042363[/C][/ROW]
[ROW][C]24[/C][C]-0.006218[/C][C]-0.0478[/C][C]0.481033[/C][/ROW]
[ROW][C]25[/C][C]-0.015188[/C][C]-0.1167[/C][C]0.453762[/C][/ROW]
[ROW][C]26[/C][C]0.195185[/C][C]1.4992[/C][C]0.069571[/C][/ROW]
[ROW][C]27[/C][C]0.25314[/C][C]1.9444[/C][C]0.02831[/C][/ROW]
[ROW][C]28[/C][C]0.136124[/C][C]1.0456[/C][C]0.150009[/C][/ROW]
[ROW][C]29[/C][C]0.092376[/C][C]0.7096[/C][C]0.240387[/C][/ROW]
[ROW][C]30[/C][C]-0.080655[/C][C]-0.6195[/C][C]0.268979[/C][/ROW]
[ROW][C]31[/C][C]-0.11299[/C][C]-0.8679[/C][C]0.194484[/C][/ROW]
[ROW][C]32[/C][C]-0.166099[/C][C]-1.2758[/C][C]0.103508[/C][/ROW]
[ROW][C]33[/C][C]-0.105862[/C][C]-0.8131[/C][C]0.209704[/C][/ROW]
[ROW][C]34[/C][C]-0.071234[/C][C]-0.5472[/C][C]0.293168[/C][/ROW]
[ROW][C]35[/C][C]-0.036838[/C][C]-0.283[/C][C]0.389101[/C][/ROW]
[ROW][C]36[/C][C]0.123593[/C][C]0.9493[/C][C]0.173161[/C][/ROW]
[ROW][C]37[/C][C]0.042593[/C][C]0.3272[/C][C]0.372353[/C][/ROW]
[ROW][C]38[/C][C]-0.022702[/C][C]-0.1744[/C][C]0.431083[/C][/ROW]
[ROW][C]39[/C][C]-0.007107[/C][C]-0.0546[/C][C]0.478325[/C][/ROW]
[ROW][C]40[/C][C]0.021177[/C][C]0.1627[/C][C]0.43567[/C][/ROW]
[ROW][C]41[/C][C]0.092826[/C][C]0.713[/C][C]0.239324[/C][/ROW]
[ROW][C]42[/C][C]0.066874[/C][C]0.5137[/C][C]0.304701[/C][/ROW]
[ROW][C]43[/C][C]0.00158[/C][C]0.0121[/C][C]0.49518[/C][/ROW]
[ROW][C]44[/C][C]-0.097951[/C][C]-0.7524[/C][C]0.227408[/C][/ROW]
[ROW][C]45[/C][C]-0.017946[/C][C]-0.1378[/C][C]0.445416[/C][/ROW]
[ROW][C]46[/C][C]-0.027457[/C][C]-0.2109[/C][C]0.416846[/C][/ROW]
[ROW][C]47[/C][C]-0.052171[/C][C]-0.4007[/C][C]0.345031[/C][/ROW]
[ROW][C]48[/C][C]0.053985[/C][C]0.4147[/C][C]0.339945[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30774&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30774&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
10.3443382.64490.005227
2-0.022233-0.17080.432492
3-0.298514-2.29290.012717
4-0.413016-3.17240.0012
5-0.147363-1.13190.131125
6-0.027241-0.20920.417489
70.0618940.47540.318124
8-0.058681-0.45070.326914
9-0.099605-0.76510.223637
10-0.034802-0.26730.395076
11-0.044546-0.34220.366722
120.2510491.92830.029314
130.1053680.80930.210784
140.184871.420.080433
150.0845660.64960.259247
16-0.051483-0.39540.34697
17-0.084824-0.65150.258613
18-0.103929-0.79830.213951
190.0110860.08520.466214
20-0.06562-0.5040.308055
21-0.040896-0.31410.377267
22-0.103908-0.79810.213998
23-0.228274-1.75340.042363
24-0.006218-0.04780.481033
25-0.015188-0.11670.453762
260.1951851.49920.069571
270.253141.94440.02831
280.1361241.04560.150009
290.0923760.70960.240387
30-0.080655-0.61950.268979
31-0.11299-0.86790.194484
32-0.166099-1.27580.103508
33-0.105862-0.81310.209704
34-0.071234-0.54720.293168
35-0.036838-0.2830.389101
360.1235930.94930.173161
370.0425930.32720.372353
38-0.022702-0.17440.431083
39-0.007107-0.05460.478325
400.0211770.16270.43567
410.0928260.7130.239324
420.0668740.51370.304701
430.001580.01210.49518
44-0.097951-0.75240.227408
45-0.017946-0.13780.445416
46-0.027457-0.21090.416846
47-0.052171-0.40070.345031
480.0539850.41470.339945







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3443382.64490.005227
2-0.159742-1.2270.112348
3-0.273163-2.09820.020089
4-0.269106-2.0670.021563
50.0525130.40340.344072
6-0.112386-0.86330.195746
7-0.094549-0.72620.235279
8-0.25709-1.97470.026491
9-0.111197-0.85410.198247
10-0.06905-0.53040.298917
11-0.191936-1.47430.07286
120.1639471.25930.10644
13-0.206715-1.58780.058837
140.2004381.53960.064503
15-0.024176-0.18570.426659
160.1018520.78230.218573
17-0.070144-0.53880.29603
180.1541381.1840.120589
190.0935410.71850.237643
20-0.038998-0.29950.382787
210.0655730.50370.308181
22-0.142075-1.09130.139789
23-0.090608-0.6960.24459
24-0.092204-0.70820.240796
25-0.10011-0.7690.222493
26-0.067611-0.51930.302737
270.0402640.30930.379101
28-0.088106-0.67680.250602
290.0783110.60150.2749
30-0.064135-0.49260.312052
31-0.03366-0.25850.398443
32-0.044634-0.34280.366468
33-0.054773-0.42070.337745
34-0.078537-0.60330.274327
350.0600340.46110.3232
360.0877360.67390.251499
370.0242680.18640.426383
38-0.134904-1.03620.152164
390.0445980.34260.366572
400.0384270.29520.384454
41-0.036173-0.27790.391049
42-0.039574-0.3040.381109
43-0.152641-1.17250.122863
440.0099090.07610.469795
450.010540.0810.467875
46-0.069113-0.53090.298751
47-0.152531-1.17160.123031
480.0640120.49170.312384

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.344338 & 2.6449 & 0.005227 \tabularnewline
2 & -0.159742 & -1.227 & 0.112348 \tabularnewline
3 & -0.273163 & -2.0982 & 0.020089 \tabularnewline
4 & -0.269106 & -2.067 & 0.021563 \tabularnewline
5 & 0.052513 & 0.4034 & 0.344072 \tabularnewline
6 & -0.112386 & -0.8633 & 0.195746 \tabularnewline
7 & -0.094549 & -0.7262 & 0.235279 \tabularnewline
8 & -0.25709 & -1.9747 & 0.026491 \tabularnewline
9 & -0.111197 & -0.8541 & 0.198247 \tabularnewline
10 & -0.06905 & -0.5304 & 0.298917 \tabularnewline
11 & -0.191936 & -1.4743 & 0.07286 \tabularnewline
12 & 0.163947 & 1.2593 & 0.10644 \tabularnewline
13 & -0.206715 & -1.5878 & 0.058837 \tabularnewline
14 & 0.200438 & 1.5396 & 0.064503 \tabularnewline
15 & -0.024176 & -0.1857 & 0.426659 \tabularnewline
16 & 0.101852 & 0.7823 & 0.218573 \tabularnewline
17 & -0.070144 & -0.5388 & 0.29603 \tabularnewline
18 & 0.154138 & 1.184 & 0.120589 \tabularnewline
19 & 0.093541 & 0.7185 & 0.237643 \tabularnewline
20 & -0.038998 & -0.2995 & 0.382787 \tabularnewline
21 & 0.065573 & 0.5037 & 0.308181 \tabularnewline
22 & -0.142075 & -1.0913 & 0.139789 \tabularnewline
23 & -0.090608 & -0.696 & 0.24459 \tabularnewline
24 & -0.092204 & -0.7082 & 0.240796 \tabularnewline
25 & -0.10011 & -0.769 & 0.222493 \tabularnewline
26 & -0.067611 & -0.5193 & 0.302737 \tabularnewline
27 & 0.040264 & 0.3093 & 0.379101 \tabularnewline
28 & -0.088106 & -0.6768 & 0.250602 \tabularnewline
29 & 0.078311 & 0.6015 & 0.2749 \tabularnewline
30 & -0.064135 & -0.4926 & 0.312052 \tabularnewline
31 & -0.03366 & -0.2585 & 0.398443 \tabularnewline
32 & -0.044634 & -0.3428 & 0.366468 \tabularnewline
33 & -0.054773 & -0.4207 & 0.337745 \tabularnewline
34 & -0.078537 & -0.6033 & 0.274327 \tabularnewline
35 & 0.060034 & 0.4611 & 0.3232 \tabularnewline
36 & 0.087736 & 0.6739 & 0.251499 \tabularnewline
37 & 0.024268 & 0.1864 & 0.426383 \tabularnewline
38 & -0.134904 & -1.0362 & 0.152164 \tabularnewline
39 & 0.044598 & 0.3426 & 0.366572 \tabularnewline
40 & 0.038427 & 0.2952 & 0.384454 \tabularnewline
41 & -0.036173 & -0.2779 & 0.391049 \tabularnewline
42 & -0.039574 & -0.304 & 0.381109 \tabularnewline
43 & -0.152641 & -1.1725 & 0.122863 \tabularnewline
44 & 0.009909 & 0.0761 & 0.469795 \tabularnewline
45 & 0.01054 & 0.081 & 0.467875 \tabularnewline
46 & -0.069113 & -0.5309 & 0.298751 \tabularnewline
47 & -0.152531 & -1.1716 & 0.123031 \tabularnewline
48 & 0.064012 & 0.4917 & 0.312384 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30774&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]0.344338[/C][C]2.6449[/C][C]0.005227[/C][/ROW]
[ROW][C]2[/C][C]-0.159742[/C][C]-1.227[/C][C]0.112348[/C][/ROW]
[ROW][C]3[/C][C]-0.273163[/C][C]-2.0982[/C][C]0.020089[/C][/ROW]
[ROW][C]4[/C][C]-0.269106[/C][C]-2.067[/C][C]0.021563[/C][/ROW]
[ROW][C]5[/C][C]0.052513[/C][C]0.4034[/C][C]0.344072[/C][/ROW]
[ROW][C]6[/C][C]-0.112386[/C][C]-0.8633[/C][C]0.195746[/C][/ROW]
[ROW][C]7[/C][C]-0.094549[/C][C]-0.7262[/C][C]0.235279[/C][/ROW]
[ROW][C]8[/C][C]-0.25709[/C][C]-1.9747[/C][C]0.026491[/C][/ROW]
[ROW][C]9[/C][C]-0.111197[/C][C]-0.8541[/C][C]0.198247[/C][/ROW]
[ROW][C]10[/C][C]-0.06905[/C][C]-0.5304[/C][C]0.298917[/C][/ROW]
[ROW][C]11[/C][C]-0.191936[/C][C]-1.4743[/C][C]0.07286[/C][/ROW]
[ROW][C]12[/C][C]0.163947[/C][C]1.2593[/C][C]0.10644[/C][/ROW]
[ROW][C]13[/C][C]-0.206715[/C][C]-1.5878[/C][C]0.058837[/C][/ROW]
[ROW][C]14[/C][C]0.200438[/C][C]1.5396[/C][C]0.064503[/C][/ROW]
[ROW][C]15[/C][C]-0.024176[/C][C]-0.1857[/C][C]0.426659[/C][/ROW]
[ROW][C]16[/C][C]0.101852[/C][C]0.7823[/C][C]0.218573[/C][/ROW]
[ROW][C]17[/C][C]-0.070144[/C][C]-0.5388[/C][C]0.29603[/C][/ROW]
[ROW][C]18[/C][C]0.154138[/C][C]1.184[/C][C]0.120589[/C][/ROW]
[ROW][C]19[/C][C]0.093541[/C][C]0.7185[/C][C]0.237643[/C][/ROW]
[ROW][C]20[/C][C]-0.038998[/C][C]-0.2995[/C][C]0.382787[/C][/ROW]
[ROW][C]21[/C][C]0.065573[/C][C]0.5037[/C][C]0.308181[/C][/ROW]
[ROW][C]22[/C][C]-0.142075[/C][C]-1.0913[/C][C]0.139789[/C][/ROW]
[ROW][C]23[/C][C]-0.090608[/C][C]-0.696[/C][C]0.24459[/C][/ROW]
[ROW][C]24[/C][C]-0.092204[/C][C]-0.7082[/C][C]0.240796[/C][/ROW]
[ROW][C]25[/C][C]-0.10011[/C][C]-0.769[/C][C]0.222493[/C][/ROW]
[ROW][C]26[/C][C]-0.067611[/C][C]-0.5193[/C][C]0.302737[/C][/ROW]
[ROW][C]27[/C][C]0.040264[/C][C]0.3093[/C][C]0.379101[/C][/ROW]
[ROW][C]28[/C][C]-0.088106[/C][C]-0.6768[/C][C]0.250602[/C][/ROW]
[ROW][C]29[/C][C]0.078311[/C][C]0.6015[/C][C]0.2749[/C][/ROW]
[ROW][C]30[/C][C]-0.064135[/C][C]-0.4926[/C][C]0.312052[/C][/ROW]
[ROW][C]31[/C][C]-0.03366[/C][C]-0.2585[/C][C]0.398443[/C][/ROW]
[ROW][C]32[/C][C]-0.044634[/C][C]-0.3428[/C][C]0.366468[/C][/ROW]
[ROW][C]33[/C][C]-0.054773[/C][C]-0.4207[/C][C]0.337745[/C][/ROW]
[ROW][C]34[/C][C]-0.078537[/C][C]-0.6033[/C][C]0.274327[/C][/ROW]
[ROW][C]35[/C][C]0.060034[/C][C]0.4611[/C][C]0.3232[/C][/ROW]
[ROW][C]36[/C][C]0.087736[/C][C]0.6739[/C][C]0.251499[/C][/ROW]
[ROW][C]37[/C][C]0.024268[/C][C]0.1864[/C][C]0.426383[/C][/ROW]
[ROW][C]38[/C][C]-0.134904[/C][C]-1.0362[/C][C]0.152164[/C][/ROW]
[ROW][C]39[/C][C]0.044598[/C][C]0.3426[/C][C]0.366572[/C][/ROW]
[ROW][C]40[/C][C]0.038427[/C][C]0.2952[/C][C]0.384454[/C][/ROW]
[ROW][C]41[/C][C]-0.036173[/C][C]-0.2779[/C][C]0.391049[/C][/ROW]
[ROW][C]42[/C][C]-0.039574[/C][C]-0.304[/C][C]0.381109[/C][/ROW]
[ROW][C]43[/C][C]-0.152641[/C][C]-1.1725[/C][C]0.122863[/C][/ROW]
[ROW][C]44[/C][C]0.009909[/C][C]0.0761[/C][C]0.469795[/C][/ROW]
[ROW][C]45[/C][C]0.01054[/C][C]0.081[/C][C]0.467875[/C][/ROW]
[ROW][C]46[/C][C]-0.069113[/C][C]-0.5309[/C][C]0.298751[/C][/ROW]
[ROW][C]47[/C][C]-0.152531[/C][C]-1.1716[/C][C]0.123031[/C][/ROW]
[ROW][C]48[/C][C]0.064012[/C][C]0.4917[/C][C]0.312384[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30774&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30774&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
10.3443382.64490.005227
2-0.159742-1.2270.112348
3-0.273163-2.09820.020089
4-0.269106-2.0670.021563
50.0525130.40340.344072
6-0.112386-0.86330.195746
7-0.094549-0.72620.235279
8-0.25709-1.97470.026491
9-0.111197-0.85410.198247
10-0.06905-0.53040.298917
11-0.191936-1.47430.07286
120.1639471.25930.10644
13-0.206715-1.58780.058837
140.2004381.53960.064503
15-0.024176-0.18570.426659
160.1018520.78230.218573
17-0.070144-0.53880.29603
180.1541381.1840.120589
190.0935410.71850.237643
20-0.038998-0.29950.382787
210.0655730.50370.308181
22-0.142075-1.09130.139789
23-0.090608-0.6960.24459
24-0.092204-0.70820.240796
25-0.10011-0.7690.222493
26-0.067611-0.51930.302737
270.0402640.30930.379101
28-0.088106-0.67680.250602
290.0783110.60150.2749
30-0.064135-0.49260.312052
31-0.03366-0.25850.398443
32-0.044634-0.34280.366468
33-0.054773-0.42070.337745
34-0.078537-0.60330.274327
350.0600340.46110.3232
360.0877360.67390.251499
370.0242680.18640.426383
38-0.134904-1.03620.152164
390.0445980.34260.366572
400.0384270.29520.384454
41-0.036173-0.27790.391049
42-0.039574-0.3040.381109
43-0.152641-1.17250.122863
440.0099090.07610.469795
450.010540.0810.467875
46-0.069113-0.53090.298751
47-0.152531-1.17160.123031
480.0640120.49170.312384



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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')