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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, 13 Dec 2007 01:44:14 -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/2007/Dec/13/t1197534841y97pwji0lrs3l1h.htm/, Retrieved Sun, 05 May 2024 13:54:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3309, Retrieved Sun, 05 May 2024 13:54:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact231
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Paper: tijdreeks ...] [2007-12-13 08:44:14] [be66efe1fb01584897056fbc96e4e155] [Current]
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Dataseries X:
15044.5
14944.2
16754.8
14254.0
15454.9
15644.8
14568.3
12520.2
14803.0
15873.2
14755.3
12875.1
14291.1
14205.3
15859.4
15258.9
15498.6
15106.5
15023.6
12083.0
15761.3
16943.0
15070.3
13659.6
14768.9
14725.1
15998.1
15370.6
14956.9
15469.7
15101.8
11703.7
16283.6
16726.5
14968.9
14861.0
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872.0
17420.4
16704.4
15991.2
16583.6
19123.5
17838.7
17209.4
18586.5
16258.1
15141.6
19202.1
17746.5
19090.1
18040.3




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3309&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3309&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3309&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
017.7460
10.4177553.23590.000988
20.1917251.48510.071377
30.3664652.83860.003087
40.3383282.62070.005551
50.3483422.69820.004519
60.5100673.9510.000104
70.2839652.19960.01585
80.3305712.56060.006492
90.2173681.68370.048715
10-0.029094-0.22540.588767
110.201141.5580.062243
120.5535084.28753.3e-05
130.1064140.82430.206522
14-0.020359-0.15770.56239
150.0250030.19370.423545
160.0188180.14580.442297
170.0792010.61350.270936
180.1436481.11270.13514
19-0.03451-0.26730.604926
200.0566060.43850.33131
21-0.062241-0.48210.684262
22-0.25388-1.96650.973067
23-0.038933-0.30160.617991
240.1545621.19720.117962
25-0.114356-0.88580.810368
26-0.168076-1.30190.901038
27-0.211883-1.64120.94701
28-0.16129-1.24930.891805
29-0.096047-0.7440.770104
30-0.072381-0.56070.711443
31-0.160399-1.24240.890547
32-0.108105-0.83740.797149
33-0.192185-1.48870.929092
34-0.283916-2.19920.984136
35-0.157303-1.21850.886092
36-0.032322-0.25040.59842
37-0.164949-1.27770.89686
38-0.216958-1.68060.950975
39-0.237278-1.83790.964489
40-0.204807-1.58640.941051
41-0.167431-1.29690.900187
42-0.114964-0.89050.811625
43-0.157762-1.2220.886761
44-0.139554-1.0810.857984
45-0.184892-1.43220.921357
46-0.20598-1.59550.942074
47-0.15371-1.19060.880757

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 7.746 & 0 \tabularnewline
1 & 0.417755 & 3.2359 & 0.000988 \tabularnewline
2 & 0.191725 & 1.4851 & 0.071377 \tabularnewline
3 & 0.366465 & 2.8386 & 0.003087 \tabularnewline
4 & 0.338328 & 2.6207 & 0.005551 \tabularnewline
5 & 0.348342 & 2.6982 & 0.004519 \tabularnewline
6 & 0.510067 & 3.951 & 0.000104 \tabularnewline
7 & 0.283965 & 2.1996 & 0.01585 \tabularnewline
8 & 0.330571 & 2.5606 & 0.006492 \tabularnewline
9 & 0.217368 & 1.6837 & 0.048715 \tabularnewline
10 & -0.029094 & -0.2254 & 0.588767 \tabularnewline
11 & 0.20114 & 1.558 & 0.062243 \tabularnewline
12 & 0.553508 & 4.2875 & 3.3e-05 \tabularnewline
13 & 0.106414 & 0.8243 & 0.206522 \tabularnewline
14 & -0.020359 & -0.1577 & 0.56239 \tabularnewline
15 & 0.025003 & 0.1937 & 0.423545 \tabularnewline
16 & 0.018818 & 0.1458 & 0.442297 \tabularnewline
17 & 0.079201 & 0.6135 & 0.270936 \tabularnewline
18 & 0.143648 & 1.1127 & 0.13514 \tabularnewline
19 & -0.03451 & -0.2673 & 0.604926 \tabularnewline
20 & 0.056606 & 0.4385 & 0.33131 \tabularnewline
21 & -0.062241 & -0.4821 & 0.684262 \tabularnewline
22 & -0.25388 & -1.9665 & 0.973067 \tabularnewline
23 & -0.038933 & -0.3016 & 0.617991 \tabularnewline
24 & 0.154562 & 1.1972 & 0.117962 \tabularnewline
25 & -0.114356 & -0.8858 & 0.810368 \tabularnewline
26 & -0.168076 & -1.3019 & 0.901038 \tabularnewline
27 & -0.211883 & -1.6412 & 0.94701 \tabularnewline
28 & -0.16129 & -1.2493 & 0.891805 \tabularnewline
29 & -0.096047 & -0.744 & 0.770104 \tabularnewline
30 & -0.072381 & -0.5607 & 0.711443 \tabularnewline
31 & -0.160399 & -1.2424 & 0.890547 \tabularnewline
32 & -0.108105 & -0.8374 & 0.797149 \tabularnewline
33 & -0.192185 & -1.4887 & 0.929092 \tabularnewline
34 & -0.283916 & -2.1992 & 0.984136 \tabularnewline
35 & -0.157303 & -1.2185 & 0.886092 \tabularnewline
36 & -0.032322 & -0.2504 & 0.59842 \tabularnewline
37 & -0.164949 & -1.2777 & 0.89686 \tabularnewline
38 & -0.216958 & -1.6806 & 0.950975 \tabularnewline
39 & -0.237278 & -1.8379 & 0.964489 \tabularnewline
40 & -0.204807 & -1.5864 & 0.941051 \tabularnewline
41 & -0.167431 & -1.2969 & 0.900187 \tabularnewline
42 & -0.114964 & -0.8905 & 0.811625 \tabularnewline
43 & -0.157762 & -1.222 & 0.886761 \tabularnewline
44 & -0.139554 & -1.081 & 0.857984 \tabularnewline
45 & -0.184892 & -1.4322 & 0.921357 \tabularnewline
46 & -0.20598 & -1.5955 & 0.942074 \tabularnewline
47 & -0.15371 & -1.1906 & 0.880757 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3309&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]0[/C][C]1[/C][C]7.746[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.417755[/C][C]3.2359[/C][C]0.000988[/C][/ROW]
[ROW][C]2[/C][C]0.191725[/C][C]1.4851[/C][C]0.071377[/C][/ROW]
[ROW][C]3[/C][C]0.366465[/C][C]2.8386[/C][C]0.003087[/C][/ROW]
[ROW][C]4[/C][C]0.338328[/C][C]2.6207[/C][C]0.005551[/C][/ROW]
[ROW][C]5[/C][C]0.348342[/C][C]2.6982[/C][C]0.004519[/C][/ROW]
[ROW][C]6[/C][C]0.510067[/C][C]3.951[/C][C]0.000104[/C][/ROW]
[ROW][C]7[/C][C]0.283965[/C][C]2.1996[/C][C]0.01585[/C][/ROW]
[ROW][C]8[/C][C]0.330571[/C][C]2.5606[/C][C]0.006492[/C][/ROW]
[ROW][C]9[/C][C]0.217368[/C][C]1.6837[/C][C]0.048715[/C][/ROW]
[ROW][C]10[/C][C]-0.029094[/C][C]-0.2254[/C][C]0.588767[/C][/ROW]
[ROW][C]11[/C][C]0.20114[/C][C]1.558[/C][C]0.062243[/C][/ROW]
[ROW][C]12[/C][C]0.553508[/C][C]4.2875[/C][C]3.3e-05[/C][/ROW]
[ROW][C]13[/C][C]0.106414[/C][C]0.8243[/C][C]0.206522[/C][/ROW]
[ROW][C]14[/C][C]-0.020359[/C][C]-0.1577[/C][C]0.56239[/C][/ROW]
[ROW][C]15[/C][C]0.025003[/C][C]0.1937[/C][C]0.423545[/C][/ROW]
[ROW][C]16[/C][C]0.018818[/C][C]0.1458[/C][C]0.442297[/C][/ROW]
[ROW][C]17[/C][C]0.079201[/C][C]0.6135[/C][C]0.270936[/C][/ROW]
[ROW][C]18[/C][C]0.143648[/C][C]1.1127[/C][C]0.13514[/C][/ROW]
[ROW][C]19[/C][C]-0.03451[/C][C]-0.2673[/C][C]0.604926[/C][/ROW]
[ROW][C]20[/C][C]0.056606[/C][C]0.4385[/C][C]0.33131[/C][/ROW]
[ROW][C]21[/C][C]-0.062241[/C][C]-0.4821[/C][C]0.684262[/C][/ROW]
[ROW][C]22[/C][C]-0.25388[/C][C]-1.9665[/C][C]0.973067[/C][/ROW]
[ROW][C]23[/C][C]-0.038933[/C][C]-0.3016[/C][C]0.617991[/C][/ROW]
[ROW][C]24[/C][C]0.154562[/C][C]1.1972[/C][C]0.117962[/C][/ROW]
[ROW][C]25[/C][C]-0.114356[/C][C]-0.8858[/C][C]0.810368[/C][/ROW]
[ROW][C]26[/C][C]-0.168076[/C][C]-1.3019[/C][C]0.901038[/C][/ROW]
[ROW][C]27[/C][C]-0.211883[/C][C]-1.6412[/C][C]0.94701[/C][/ROW]
[ROW][C]28[/C][C]-0.16129[/C][C]-1.2493[/C][C]0.891805[/C][/ROW]
[ROW][C]29[/C][C]-0.096047[/C][C]-0.744[/C][C]0.770104[/C][/ROW]
[ROW][C]30[/C][C]-0.072381[/C][C]-0.5607[/C][C]0.711443[/C][/ROW]
[ROW][C]31[/C][C]-0.160399[/C][C]-1.2424[/C][C]0.890547[/C][/ROW]
[ROW][C]32[/C][C]-0.108105[/C][C]-0.8374[/C][C]0.797149[/C][/ROW]
[ROW][C]33[/C][C]-0.192185[/C][C]-1.4887[/C][C]0.929092[/C][/ROW]
[ROW][C]34[/C][C]-0.283916[/C][C]-2.1992[/C][C]0.984136[/C][/ROW]
[ROW][C]35[/C][C]-0.157303[/C][C]-1.2185[/C][C]0.886092[/C][/ROW]
[ROW][C]36[/C][C]-0.032322[/C][C]-0.2504[/C][C]0.59842[/C][/ROW]
[ROW][C]37[/C][C]-0.164949[/C][C]-1.2777[/C][C]0.89686[/C][/ROW]
[ROW][C]38[/C][C]-0.216958[/C][C]-1.6806[/C][C]0.950975[/C][/ROW]
[ROW][C]39[/C][C]-0.237278[/C][C]-1.8379[/C][C]0.964489[/C][/ROW]
[ROW][C]40[/C][C]-0.204807[/C][C]-1.5864[/C][C]0.941051[/C][/ROW]
[ROW][C]41[/C][C]-0.167431[/C][C]-1.2969[/C][C]0.900187[/C][/ROW]
[ROW][C]42[/C][C]-0.114964[/C][C]-0.8905[/C][C]0.811625[/C][/ROW]
[ROW][C]43[/C][C]-0.157762[/C][C]-1.222[/C][C]0.886761[/C][/ROW]
[ROW][C]44[/C][C]-0.139554[/C][C]-1.081[/C][C]0.857984[/C][/ROW]
[ROW][C]45[/C][C]-0.184892[/C][C]-1.4322[/C][C]0.921357[/C][/ROW]
[ROW][C]46[/C][C]-0.20598[/C][C]-1.5955[/C][C]0.942074[/C][/ROW]
[ROW][C]47[/C][C]-0.15371[/C][C]-1.1906[/C][C]0.880757[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3309&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3309&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
017.7460
10.4177553.23590.000988
20.1917251.48510.071377
30.3664652.83860.003087
40.3383282.62070.005551
50.3483422.69820.004519
60.5100673.9510.000104
70.2839652.19960.01585
80.3305712.56060.006492
90.2173681.68370.048715
10-0.029094-0.22540.588767
110.201141.5580.062243
120.5535084.28753.3e-05
130.1064140.82430.206522
14-0.020359-0.15770.56239
150.0250030.19370.423545
160.0188180.14580.442297
170.0792010.61350.270936
180.1436481.11270.13514
19-0.03451-0.26730.604926
200.0566060.43850.33131
21-0.062241-0.48210.684262
22-0.25388-1.96650.973067
23-0.038933-0.30160.617991
240.1545621.19720.117962
25-0.114356-0.88580.810368
26-0.168076-1.30190.901038
27-0.211883-1.64120.94701
28-0.16129-1.24930.891805
29-0.096047-0.7440.770104
30-0.072381-0.56070.711443
31-0.160399-1.24240.890547
32-0.108105-0.83740.797149
33-0.192185-1.48870.929092
34-0.283916-2.19920.984136
35-0.157303-1.21850.886092
36-0.032322-0.25040.59842
37-0.164949-1.27770.89686
38-0.216958-1.68060.950975
39-0.237278-1.83790.964489
40-0.204807-1.58640.941051
41-0.167431-1.29690.900187
42-0.114964-0.89050.811625
43-0.157762-1.2220.886761
44-0.139554-1.0810.857984
45-0.184892-1.43220.921357
46-0.20598-1.59550.942074
47-0.15371-1.19060.880757







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.4177553.23590.000988
10.0208430.16150.43614
20.3385362.62230.005527
30.0987470.76490.223667
40.226631.75550.042141
50.338562.62250.005524
6-0.087159-0.67510.748906
70.2598422.01270.024319
8-0.312953-2.42410.990812
9-0.337347-2.61310.994338
100.0488210.37820.353322
110.375022.90490.002569
12-0.29852-2.31230.987896
13-0.132224-1.02420.845075
14-0.169688-1.31440.903142
150.1172560.90830.183688
160.004490.03480.486186
17-0.006592-0.05110.520277
18-0.051501-0.39890.654318
19-0.042632-0.33020.628811
200.1052620.81540.209047
21-0.005499-0.04260.516918
22-0.015252-0.11810.546826
23-0.189403-1.46710.926216
240.0437340.33880.367986
25-0.003913-0.03030.512038
26-0.052643-0.40780.657553
270.0032010.02480.490149
28-0.136186-1.05490.852148
290.1222240.94670.173784
300.0378370.29310.385234
31-0.066875-0.5180.696822
320.016960.13140.447961
33-0.035411-0.27430.607598
340.0006690.00520.497942
35-0.042668-0.33050.628916
36-0.069027-0.53470.702577
37-0.069603-0.53910.704108
380.0511370.39610.346716
39-0.074112-0.57410.715968
40-0.029217-0.22630.589138
41-0.017177-0.13310.552702
420.0633410.49060.312736
430.0511920.39650.346561
44-0.035838-0.27760.608864
450.0539980.41830.338622
46-0.085535-0.66260.744922
47-0.021468-0.16630.565755

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.417755 & 3.2359 & 0.000988 \tabularnewline
1 & 0.020843 & 0.1615 & 0.43614 \tabularnewline
2 & 0.338536 & 2.6223 & 0.005527 \tabularnewline
3 & 0.098747 & 0.7649 & 0.223667 \tabularnewline
4 & 0.22663 & 1.7555 & 0.042141 \tabularnewline
5 & 0.33856 & 2.6225 & 0.005524 \tabularnewline
6 & -0.087159 & -0.6751 & 0.748906 \tabularnewline
7 & 0.259842 & 2.0127 & 0.024319 \tabularnewline
8 & -0.312953 & -2.4241 & 0.990812 \tabularnewline
9 & -0.337347 & -2.6131 & 0.994338 \tabularnewline
10 & 0.048821 & 0.3782 & 0.353322 \tabularnewline
11 & 0.37502 & 2.9049 & 0.002569 \tabularnewline
12 & -0.29852 & -2.3123 & 0.987896 \tabularnewline
13 & -0.132224 & -1.0242 & 0.845075 \tabularnewline
14 & -0.169688 & -1.3144 & 0.903142 \tabularnewline
15 & 0.117256 & 0.9083 & 0.183688 \tabularnewline
16 & 0.00449 & 0.0348 & 0.486186 \tabularnewline
17 & -0.006592 & -0.0511 & 0.520277 \tabularnewline
18 & -0.051501 & -0.3989 & 0.654318 \tabularnewline
19 & -0.042632 & -0.3302 & 0.628811 \tabularnewline
20 & 0.105262 & 0.8154 & 0.209047 \tabularnewline
21 & -0.005499 & -0.0426 & 0.516918 \tabularnewline
22 & -0.015252 & -0.1181 & 0.546826 \tabularnewline
23 & -0.189403 & -1.4671 & 0.926216 \tabularnewline
24 & 0.043734 & 0.3388 & 0.367986 \tabularnewline
25 & -0.003913 & -0.0303 & 0.512038 \tabularnewline
26 & -0.052643 & -0.4078 & 0.657553 \tabularnewline
27 & 0.003201 & 0.0248 & 0.490149 \tabularnewline
28 & -0.136186 & -1.0549 & 0.852148 \tabularnewline
29 & 0.122224 & 0.9467 & 0.173784 \tabularnewline
30 & 0.037837 & 0.2931 & 0.385234 \tabularnewline
31 & -0.066875 & -0.518 & 0.696822 \tabularnewline
32 & 0.01696 & 0.1314 & 0.447961 \tabularnewline
33 & -0.035411 & -0.2743 & 0.607598 \tabularnewline
34 & 0.000669 & 0.0052 & 0.497942 \tabularnewline
35 & -0.042668 & -0.3305 & 0.628916 \tabularnewline
36 & -0.069027 & -0.5347 & 0.702577 \tabularnewline
37 & -0.069603 & -0.5391 & 0.704108 \tabularnewline
38 & 0.051137 & 0.3961 & 0.346716 \tabularnewline
39 & -0.074112 & -0.5741 & 0.715968 \tabularnewline
40 & -0.029217 & -0.2263 & 0.589138 \tabularnewline
41 & -0.017177 & -0.1331 & 0.552702 \tabularnewline
42 & 0.063341 & 0.4906 & 0.312736 \tabularnewline
43 & 0.051192 & 0.3965 & 0.346561 \tabularnewline
44 & -0.035838 & -0.2776 & 0.608864 \tabularnewline
45 & 0.053998 & 0.4183 & 0.338622 \tabularnewline
46 & -0.085535 & -0.6626 & 0.744922 \tabularnewline
47 & -0.021468 & -0.1663 & 0.565755 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3309&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]0[/C][C]0.417755[/C][C]3.2359[/C][C]0.000988[/C][/ROW]
[ROW][C]1[/C][C]0.020843[/C][C]0.1615[/C][C]0.43614[/C][/ROW]
[ROW][C]2[/C][C]0.338536[/C][C]2.6223[/C][C]0.005527[/C][/ROW]
[ROW][C]3[/C][C]0.098747[/C][C]0.7649[/C][C]0.223667[/C][/ROW]
[ROW][C]4[/C][C]0.22663[/C][C]1.7555[/C][C]0.042141[/C][/ROW]
[ROW][C]5[/C][C]0.33856[/C][C]2.6225[/C][C]0.005524[/C][/ROW]
[ROW][C]6[/C][C]-0.087159[/C][C]-0.6751[/C][C]0.748906[/C][/ROW]
[ROW][C]7[/C][C]0.259842[/C][C]2.0127[/C][C]0.024319[/C][/ROW]
[ROW][C]8[/C][C]-0.312953[/C][C]-2.4241[/C][C]0.990812[/C][/ROW]
[ROW][C]9[/C][C]-0.337347[/C][C]-2.6131[/C][C]0.994338[/C][/ROW]
[ROW][C]10[/C][C]0.048821[/C][C]0.3782[/C][C]0.353322[/C][/ROW]
[ROW][C]11[/C][C]0.37502[/C][C]2.9049[/C][C]0.002569[/C][/ROW]
[ROW][C]12[/C][C]-0.29852[/C][C]-2.3123[/C][C]0.987896[/C][/ROW]
[ROW][C]13[/C][C]-0.132224[/C][C]-1.0242[/C][C]0.845075[/C][/ROW]
[ROW][C]14[/C][C]-0.169688[/C][C]-1.3144[/C][C]0.903142[/C][/ROW]
[ROW][C]15[/C][C]0.117256[/C][C]0.9083[/C][C]0.183688[/C][/ROW]
[ROW][C]16[/C][C]0.00449[/C][C]0.0348[/C][C]0.486186[/C][/ROW]
[ROW][C]17[/C][C]-0.006592[/C][C]-0.0511[/C][C]0.520277[/C][/ROW]
[ROW][C]18[/C][C]-0.051501[/C][C]-0.3989[/C][C]0.654318[/C][/ROW]
[ROW][C]19[/C][C]-0.042632[/C][C]-0.3302[/C][C]0.628811[/C][/ROW]
[ROW][C]20[/C][C]0.105262[/C][C]0.8154[/C][C]0.209047[/C][/ROW]
[ROW][C]21[/C][C]-0.005499[/C][C]-0.0426[/C][C]0.516918[/C][/ROW]
[ROW][C]22[/C][C]-0.015252[/C][C]-0.1181[/C][C]0.546826[/C][/ROW]
[ROW][C]23[/C][C]-0.189403[/C][C]-1.4671[/C][C]0.926216[/C][/ROW]
[ROW][C]24[/C][C]0.043734[/C][C]0.3388[/C][C]0.367986[/C][/ROW]
[ROW][C]25[/C][C]-0.003913[/C][C]-0.0303[/C][C]0.512038[/C][/ROW]
[ROW][C]26[/C][C]-0.052643[/C][C]-0.4078[/C][C]0.657553[/C][/ROW]
[ROW][C]27[/C][C]0.003201[/C][C]0.0248[/C][C]0.490149[/C][/ROW]
[ROW][C]28[/C][C]-0.136186[/C][C]-1.0549[/C][C]0.852148[/C][/ROW]
[ROW][C]29[/C][C]0.122224[/C][C]0.9467[/C][C]0.173784[/C][/ROW]
[ROW][C]30[/C][C]0.037837[/C][C]0.2931[/C][C]0.385234[/C][/ROW]
[ROW][C]31[/C][C]-0.066875[/C][C]-0.518[/C][C]0.696822[/C][/ROW]
[ROW][C]32[/C][C]0.01696[/C][C]0.1314[/C][C]0.447961[/C][/ROW]
[ROW][C]33[/C][C]-0.035411[/C][C]-0.2743[/C][C]0.607598[/C][/ROW]
[ROW][C]34[/C][C]0.000669[/C][C]0.0052[/C][C]0.497942[/C][/ROW]
[ROW][C]35[/C][C]-0.042668[/C][C]-0.3305[/C][C]0.628916[/C][/ROW]
[ROW][C]36[/C][C]-0.069027[/C][C]-0.5347[/C][C]0.702577[/C][/ROW]
[ROW][C]37[/C][C]-0.069603[/C][C]-0.5391[/C][C]0.704108[/C][/ROW]
[ROW][C]38[/C][C]0.051137[/C][C]0.3961[/C][C]0.346716[/C][/ROW]
[ROW][C]39[/C][C]-0.074112[/C][C]-0.5741[/C][C]0.715968[/C][/ROW]
[ROW][C]40[/C][C]-0.029217[/C][C]-0.2263[/C][C]0.589138[/C][/ROW]
[ROW][C]41[/C][C]-0.017177[/C][C]-0.1331[/C][C]0.552702[/C][/ROW]
[ROW][C]42[/C][C]0.063341[/C][C]0.4906[/C][C]0.312736[/C][/ROW]
[ROW][C]43[/C][C]0.051192[/C][C]0.3965[/C][C]0.346561[/C][/ROW]
[ROW][C]44[/C][C]-0.035838[/C][C]-0.2776[/C][C]0.608864[/C][/ROW]
[ROW][C]45[/C][C]0.053998[/C][C]0.4183[/C][C]0.338622[/C][/ROW]
[ROW][C]46[/C][C]-0.085535[/C][C]-0.6626[/C][C]0.744922[/C][/ROW]
[ROW][C]47[/C][C]-0.021468[/C][C]-0.1663[/C][C]0.565755[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3309&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3309&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
00.4177553.23590.000988
10.0208430.16150.43614
20.3385362.62230.005527
30.0987470.76490.223667
40.226631.75550.042141
50.338562.62250.005524
6-0.087159-0.67510.748906
70.2598422.01270.024319
8-0.312953-2.42410.990812
9-0.337347-2.61310.994338
100.0488210.37820.353322
110.375022.90490.002569
12-0.29852-2.31230.987896
13-0.132224-1.02420.845075
14-0.169688-1.31440.903142
150.1172560.90830.183688
160.004490.03480.486186
17-0.006592-0.05110.520277
18-0.051501-0.39890.654318
19-0.042632-0.33020.628811
200.1052620.81540.209047
21-0.005499-0.04260.516918
22-0.015252-0.11810.546826
23-0.189403-1.46710.926216
240.0437340.33880.367986
25-0.003913-0.03030.512038
26-0.052643-0.40780.657553
270.0032010.02480.490149
28-0.136186-1.05490.852148
290.1222240.94670.173784
300.0378370.29310.385234
31-0.066875-0.5180.696822
320.016960.13140.447961
33-0.035411-0.27430.607598
340.0006690.00520.497942
35-0.042668-0.33050.628916
36-0.069027-0.53470.702577
37-0.069603-0.53910.704108
380.0511370.39610.346716
39-0.074112-0.57410.715968
40-0.029217-0.22630.589138
41-0.017177-0.13310.552702
420.0633410.49060.312736
430.0511920.39650.346561
44-0.035838-0.27760.608864
450.0539980.41830.338622
46-0.085535-0.66260.744922
47-0.021468-0.16630.565755



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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')