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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, 06 Dec 2007 07:48:42 -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/2007/Dec/06/t1196952192q7cfpfwbirmt184.htm/, Retrieved Fri, 03 May 2024 14:13:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2645, Retrieved Fri, 03 May 2024 14:13:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact199
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Workshop 5: Q1] [2007-12-06 14:48:42] [9ec4fcc2bfe8b6d942eac6074e595603] [Current]
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Dataseries X:
-14
-5
-1
0
0
13
0
6
-8
-17
-16
-13
-8
-13
-15
-23
-25
-36
-22
-27
-15
-21
-15
-21
-12
2
5
14
21
19
17
27
32
58
74
54
41
25
24
17
14
18
25
12
4
-16
-31
2




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=2645&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=2645&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2645&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
016.92820
10.8855626.13540
20.7601765.26672e-06
30.6254214.3333.7e-05
40.5294153.66790.000306
50.4675923.23960.001088
60.4218272.92250.002641
70.3384732.3450.011605
80.2371421.6430.053463
90.0987460.68410.24859
10-0.076932-0.5330.701754
11-0.208513-1.44460.92247
12-0.299753-2.07670.978399
13-0.289141-2.00320.974592
14-0.295998-2.05070.977113
15-0.319807-2.21570.984255
16-0.356695-2.47130.991468
17-0.387173-2.68240.995003
18-0.397866-2.75650.995882
19-0.364767-2.52720.992577
20-0.311613-2.15890.982057
21-0.262829-1.82090.962573
22-0.215008-1.48960.928567
23-0.198601-1.37590.912388
24-0.200236-1.38730.914117
25-0.1888-1.3080.901456
26-0.136944-0.94880.826256
27-0.08216-0.56920.714069
28-0.039073-0.27070.606111
296e-0600.499982
30-0.013218-0.09160.536292
31-0.027485-0.19040.575108
32-0.050442-0.34950.635868
33-0.064206-0.44480.67078
34-0.055991-0.38790.650104
35-0.016451-0.1140.545134
360.0059650.04130.483604
370.0160090.11090.456074
38-0.007362-0.0510.520235
39-0.018641-0.12910.55111
40-0.019112-0.13240.552393
41-0.027761-0.19230.575853
42-0.010986-0.07610.530177
430.0011150.00770.496933
440.0106010.07340.470879
450.0226930.15720.437865
460.0221010.15310.439472
470.0007170.0050.498027

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.9282 & 0 \tabularnewline
1 & 0.885562 & 6.1354 & 0 \tabularnewline
2 & 0.760176 & 5.2667 & 2e-06 \tabularnewline
3 & 0.625421 & 4.333 & 3.7e-05 \tabularnewline
4 & 0.529415 & 3.6679 & 0.000306 \tabularnewline
5 & 0.467592 & 3.2396 & 0.001088 \tabularnewline
6 & 0.421827 & 2.9225 & 0.002641 \tabularnewline
7 & 0.338473 & 2.345 & 0.011605 \tabularnewline
8 & 0.237142 & 1.643 & 0.053463 \tabularnewline
9 & 0.098746 & 0.6841 & 0.24859 \tabularnewline
10 & -0.076932 & -0.533 & 0.701754 \tabularnewline
11 & -0.208513 & -1.4446 & 0.92247 \tabularnewline
12 & -0.299753 & -2.0767 & 0.978399 \tabularnewline
13 & -0.289141 & -2.0032 & 0.974592 \tabularnewline
14 & -0.295998 & -2.0507 & 0.977113 \tabularnewline
15 & -0.319807 & -2.2157 & 0.984255 \tabularnewline
16 & -0.356695 & -2.4713 & 0.991468 \tabularnewline
17 & -0.387173 & -2.6824 & 0.995003 \tabularnewline
18 & -0.397866 & -2.7565 & 0.995882 \tabularnewline
19 & -0.364767 & -2.5272 & 0.992577 \tabularnewline
20 & -0.311613 & -2.1589 & 0.982057 \tabularnewline
21 & -0.262829 & -1.8209 & 0.962573 \tabularnewline
22 & -0.215008 & -1.4896 & 0.928567 \tabularnewline
23 & -0.198601 & -1.3759 & 0.912388 \tabularnewline
24 & -0.200236 & -1.3873 & 0.914117 \tabularnewline
25 & -0.1888 & -1.308 & 0.901456 \tabularnewline
26 & -0.136944 & -0.9488 & 0.826256 \tabularnewline
27 & -0.08216 & -0.5692 & 0.714069 \tabularnewline
28 & -0.039073 & -0.2707 & 0.606111 \tabularnewline
29 & 6e-06 & 0 & 0.499982 \tabularnewline
30 & -0.013218 & -0.0916 & 0.536292 \tabularnewline
31 & -0.027485 & -0.1904 & 0.575108 \tabularnewline
32 & -0.050442 & -0.3495 & 0.635868 \tabularnewline
33 & -0.064206 & -0.4448 & 0.67078 \tabularnewline
34 & -0.055991 & -0.3879 & 0.650104 \tabularnewline
35 & -0.016451 & -0.114 & 0.545134 \tabularnewline
36 & 0.005965 & 0.0413 & 0.483604 \tabularnewline
37 & 0.016009 & 0.1109 & 0.456074 \tabularnewline
38 & -0.007362 & -0.051 & 0.520235 \tabularnewline
39 & -0.018641 & -0.1291 & 0.55111 \tabularnewline
40 & -0.019112 & -0.1324 & 0.552393 \tabularnewline
41 & -0.027761 & -0.1923 & 0.575853 \tabularnewline
42 & -0.010986 & -0.0761 & 0.530177 \tabularnewline
43 & 0.001115 & 0.0077 & 0.496933 \tabularnewline
44 & 0.010601 & 0.0734 & 0.470879 \tabularnewline
45 & 0.022693 & 0.1572 & 0.437865 \tabularnewline
46 & 0.022101 & 0.1531 & 0.439472 \tabularnewline
47 & 0.000717 & 0.005 & 0.498027 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2645&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]6.9282[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.885562[/C][C]6.1354[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.760176[/C][C]5.2667[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.625421[/C][C]4.333[/C][C]3.7e-05[/C][/ROW]
[ROW][C]4[/C][C]0.529415[/C][C]3.6679[/C][C]0.000306[/C][/ROW]
[ROW][C]5[/C][C]0.467592[/C][C]3.2396[/C][C]0.001088[/C][/ROW]
[ROW][C]6[/C][C]0.421827[/C][C]2.9225[/C][C]0.002641[/C][/ROW]
[ROW][C]7[/C][C]0.338473[/C][C]2.345[/C][C]0.011605[/C][/ROW]
[ROW][C]8[/C][C]0.237142[/C][C]1.643[/C][C]0.053463[/C][/ROW]
[ROW][C]9[/C][C]0.098746[/C][C]0.6841[/C][C]0.24859[/C][/ROW]
[ROW][C]10[/C][C]-0.076932[/C][C]-0.533[/C][C]0.701754[/C][/ROW]
[ROW][C]11[/C][C]-0.208513[/C][C]-1.4446[/C][C]0.92247[/C][/ROW]
[ROW][C]12[/C][C]-0.299753[/C][C]-2.0767[/C][C]0.978399[/C][/ROW]
[ROW][C]13[/C][C]-0.289141[/C][C]-2.0032[/C][C]0.974592[/C][/ROW]
[ROW][C]14[/C][C]-0.295998[/C][C]-2.0507[/C][C]0.977113[/C][/ROW]
[ROW][C]15[/C][C]-0.319807[/C][C]-2.2157[/C][C]0.984255[/C][/ROW]
[ROW][C]16[/C][C]-0.356695[/C][C]-2.4713[/C][C]0.991468[/C][/ROW]
[ROW][C]17[/C][C]-0.387173[/C][C]-2.6824[/C][C]0.995003[/C][/ROW]
[ROW][C]18[/C][C]-0.397866[/C][C]-2.7565[/C][C]0.995882[/C][/ROW]
[ROW][C]19[/C][C]-0.364767[/C][C]-2.5272[/C][C]0.992577[/C][/ROW]
[ROW][C]20[/C][C]-0.311613[/C][C]-2.1589[/C][C]0.982057[/C][/ROW]
[ROW][C]21[/C][C]-0.262829[/C][C]-1.8209[/C][C]0.962573[/C][/ROW]
[ROW][C]22[/C][C]-0.215008[/C][C]-1.4896[/C][C]0.928567[/C][/ROW]
[ROW][C]23[/C][C]-0.198601[/C][C]-1.3759[/C][C]0.912388[/C][/ROW]
[ROW][C]24[/C][C]-0.200236[/C][C]-1.3873[/C][C]0.914117[/C][/ROW]
[ROW][C]25[/C][C]-0.1888[/C][C]-1.308[/C][C]0.901456[/C][/ROW]
[ROW][C]26[/C][C]-0.136944[/C][C]-0.9488[/C][C]0.826256[/C][/ROW]
[ROW][C]27[/C][C]-0.08216[/C][C]-0.5692[/C][C]0.714069[/C][/ROW]
[ROW][C]28[/C][C]-0.039073[/C][C]-0.2707[/C][C]0.606111[/C][/ROW]
[ROW][C]29[/C][C]6e-06[/C][C]0[/C][C]0.499982[/C][/ROW]
[ROW][C]30[/C][C]-0.013218[/C][C]-0.0916[/C][C]0.536292[/C][/ROW]
[ROW][C]31[/C][C]-0.027485[/C][C]-0.1904[/C][C]0.575108[/C][/ROW]
[ROW][C]32[/C][C]-0.050442[/C][C]-0.3495[/C][C]0.635868[/C][/ROW]
[ROW][C]33[/C][C]-0.064206[/C][C]-0.4448[/C][C]0.67078[/C][/ROW]
[ROW][C]34[/C][C]-0.055991[/C][C]-0.3879[/C][C]0.650104[/C][/ROW]
[ROW][C]35[/C][C]-0.016451[/C][C]-0.114[/C][C]0.545134[/C][/ROW]
[ROW][C]36[/C][C]0.005965[/C][C]0.0413[/C][C]0.483604[/C][/ROW]
[ROW][C]37[/C][C]0.016009[/C][C]0.1109[/C][C]0.456074[/C][/ROW]
[ROW][C]38[/C][C]-0.007362[/C][C]-0.051[/C][C]0.520235[/C][/ROW]
[ROW][C]39[/C][C]-0.018641[/C][C]-0.1291[/C][C]0.55111[/C][/ROW]
[ROW][C]40[/C][C]-0.019112[/C][C]-0.1324[/C][C]0.552393[/C][/ROW]
[ROW][C]41[/C][C]-0.027761[/C][C]-0.1923[/C][C]0.575853[/C][/ROW]
[ROW][C]42[/C][C]-0.010986[/C][C]-0.0761[/C][C]0.530177[/C][/ROW]
[ROW][C]43[/C][C]0.001115[/C][C]0.0077[/C][C]0.496933[/C][/ROW]
[ROW][C]44[/C][C]0.010601[/C][C]0.0734[/C][C]0.470879[/C][/ROW]
[ROW][C]45[/C][C]0.022693[/C][C]0.1572[/C][C]0.437865[/C][/ROW]
[ROW][C]46[/C][C]0.022101[/C][C]0.1531[/C][C]0.439472[/C][/ROW]
[ROW][C]47[/C][C]0.000717[/C][C]0.005[/C][C]0.498027[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2645&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2645&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
016.92820
10.8855626.13540
20.7601765.26672e-06
30.6254214.3333.7e-05
40.5294153.66790.000306
50.4675923.23960.001088
60.4218272.92250.002641
70.3384732.3450.011605
80.2371421.6430.053463
90.0987460.68410.24859
10-0.076932-0.5330.701754
11-0.208513-1.44460.92247
12-0.299753-2.07670.978399
13-0.289141-2.00320.974592
14-0.295998-2.05070.977113
15-0.319807-2.21570.984255
16-0.356695-2.47130.991468
17-0.387173-2.68240.995003
18-0.397866-2.75650.995882
19-0.364767-2.52720.992577
20-0.311613-2.15890.982057
21-0.262829-1.82090.962573
22-0.215008-1.48960.928567
23-0.198601-1.37590.912388
24-0.200236-1.38730.914117
25-0.1888-1.3080.901456
26-0.136944-0.94880.826256
27-0.08216-0.56920.714069
28-0.039073-0.27070.606111
296e-0600.499982
30-0.013218-0.09160.536292
31-0.027485-0.19040.575108
32-0.050442-0.34950.635868
33-0.064206-0.44480.67078
34-0.055991-0.38790.650104
35-0.016451-0.1140.545134
360.0059650.04130.483604
370.0160090.11090.456074
38-0.007362-0.0510.520235
39-0.018641-0.12910.55111
40-0.019112-0.13240.552393
41-0.027761-0.19230.575853
42-0.010986-0.07610.530177
430.0011150.00770.496933
440.0106010.07340.470879
450.0226930.15720.437865
460.0221010.15310.439472
470.0007170.0050.498027







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.8855626.13540
1-0.111427-0.7720.778047
2-0.113081-0.78340.781393
30.1044340.72350.236429
40.0847160.58690.28
5-0.001675-0.01160.504604
6-0.216732-1.50160.93012
7-0.10275-0.71190.760006
8-0.200325-1.38790.914211
9-0.33468-2.31870.987643
100.0087210.06040.476037
11-0.0045-0.03120.512371
120.3438882.38250.010601
13-0.173815-1.20420.882797
14-0.099416-0.68880.75286
150.1324070.91730.181774
160.0395240.27380.392694
170.0430660.29840.383354
18-0.031017-0.21490.584618
190.0176660.12240.45155
20-0.186988-1.29550.899326
21-0.195082-1.35160.908575
220.0330390.22890.409958
23-0.074705-0.51760.696434
240.1288660.89280.188207
250.0181010.12540.450363
26-0.071855-0.49780.689559
27-0.027263-0.18890.574508
280.1331610.92260.180423
29-0.107403-0.74410.76978
300.0065210.04520.482077
31-0.099471-0.68920.752978
32-0.161353-1.11790.86541
33-0.034888-0.24170.594984
340.0995590.68980.246831
350.0409020.28340.389053
360.078770.54570.293887
37-0.064957-0.450.672644
380.0897070.62150.268603
39-0.062501-0.4330.666531
40-0.047045-0.32590.627056
41-0.042396-0.29370.614885
42-0.042041-0.29130.61395
43-0.082297-0.57020.714388
44-0.081009-0.56120.711381
45-0.002969-0.02060.508162
460.04350.30140.382214
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.885562 & 6.1354 & 0 \tabularnewline
1 & -0.111427 & -0.772 & 0.778047 \tabularnewline
2 & -0.113081 & -0.7834 & 0.781393 \tabularnewline
3 & 0.104434 & 0.7235 & 0.236429 \tabularnewline
4 & 0.084716 & 0.5869 & 0.28 \tabularnewline
5 & -0.001675 & -0.0116 & 0.504604 \tabularnewline
6 & -0.216732 & -1.5016 & 0.93012 \tabularnewline
7 & -0.10275 & -0.7119 & 0.760006 \tabularnewline
8 & -0.200325 & -1.3879 & 0.914211 \tabularnewline
9 & -0.33468 & -2.3187 & 0.987643 \tabularnewline
10 & 0.008721 & 0.0604 & 0.476037 \tabularnewline
11 & -0.0045 & -0.0312 & 0.512371 \tabularnewline
12 & 0.343888 & 2.3825 & 0.010601 \tabularnewline
13 & -0.173815 & -1.2042 & 0.882797 \tabularnewline
14 & -0.099416 & -0.6888 & 0.75286 \tabularnewline
15 & 0.132407 & 0.9173 & 0.181774 \tabularnewline
16 & 0.039524 & 0.2738 & 0.392694 \tabularnewline
17 & 0.043066 & 0.2984 & 0.383354 \tabularnewline
18 & -0.031017 & -0.2149 & 0.584618 \tabularnewline
19 & 0.017666 & 0.1224 & 0.45155 \tabularnewline
20 & -0.186988 & -1.2955 & 0.899326 \tabularnewline
21 & -0.195082 & -1.3516 & 0.908575 \tabularnewline
22 & 0.033039 & 0.2289 & 0.409958 \tabularnewline
23 & -0.074705 & -0.5176 & 0.696434 \tabularnewline
24 & 0.128866 & 0.8928 & 0.188207 \tabularnewline
25 & 0.018101 & 0.1254 & 0.450363 \tabularnewline
26 & -0.071855 & -0.4978 & 0.689559 \tabularnewline
27 & -0.027263 & -0.1889 & 0.574508 \tabularnewline
28 & 0.133161 & 0.9226 & 0.180423 \tabularnewline
29 & -0.107403 & -0.7441 & 0.76978 \tabularnewline
30 & 0.006521 & 0.0452 & 0.482077 \tabularnewline
31 & -0.099471 & -0.6892 & 0.752978 \tabularnewline
32 & -0.161353 & -1.1179 & 0.86541 \tabularnewline
33 & -0.034888 & -0.2417 & 0.594984 \tabularnewline
34 & 0.099559 & 0.6898 & 0.246831 \tabularnewline
35 & 0.040902 & 0.2834 & 0.389053 \tabularnewline
36 & 0.07877 & 0.5457 & 0.293887 \tabularnewline
37 & -0.064957 & -0.45 & 0.672644 \tabularnewline
38 & 0.089707 & 0.6215 & 0.268603 \tabularnewline
39 & -0.062501 & -0.433 & 0.666531 \tabularnewline
40 & -0.047045 & -0.3259 & 0.627056 \tabularnewline
41 & -0.042396 & -0.2937 & 0.614885 \tabularnewline
42 & -0.042041 & -0.2913 & 0.61395 \tabularnewline
43 & -0.082297 & -0.5702 & 0.714388 \tabularnewline
44 & -0.081009 & -0.5612 & 0.711381 \tabularnewline
45 & -0.002969 & -0.0206 & 0.508162 \tabularnewline
46 & 0.0435 & 0.3014 & 0.382214 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2645&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]0.885562[/C][C]6.1354[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.111427[/C][C]-0.772[/C][C]0.778047[/C][/ROW]
[ROW][C]2[/C][C]-0.113081[/C][C]-0.7834[/C][C]0.781393[/C][/ROW]
[ROW][C]3[/C][C]0.104434[/C][C]0.7235[/C][C]0.236429[/C][/ROW]
[ROW][C]4[/C][C]0.084716[/C][C]0.5869[/C][C]0.28[/C][/ROW]
[ROW][C]5[/C][C]-0.001675[/C][C]-0.0116[/C][C]0.504604[/C][/ROW]
[ROW][C]6[/C][C]-0.216732[/C][C]-1.5016[/C][C]0.93012[/C][/ROW]
[ROW][C]7[/C][C]-0.10275[/C][C]-0.7119[/C][C]0.760006[/C][/ROW]
[ROW][C]8[/C][C]-0.200325[/C][C]-1.3879[/C][C]0.914211[/C][/ROW]
[ROW][C]9[/C][C]-0.33468[/C][C]-2.3187[/C][C]0.987643[/C][/ROW]
[ROW][C]10[/C][C]0.008721[/C][C]0.0604[/C][C]0.476037[/C][/ROW]
[ROW][C]11[/C][C]-0.0045[/C][C]-0.0312[/C][C]0.512371[/C][/ROW]
[ROW][C]12[/C][C]0.343888[/C][C]2.3825[/C][C]0.010601[/C][/ROW]
[ROW][C]13[/C][C]-0.173815[/C][C]-1.2042[/C][C]0.882797[/C][/ROW]
[ROW][C]14[/C][C]-0.099416[/C][C]-0.6888[/C][C]0.75286[/C][/ROW]
[ROW][C]15[/C][C]0.132407[/C][C]0.9173[/C][C]0.181774[/C][/ROW]
[ROW][C]16[/C][C]0.039524[/C][C]0.2738[/C][C]0.392694[/C][/ROW]
[ROW][C]17[/C][C]0.043066[/C][C]0.2984[/C][C]0.383354[/C][/ROW]
[ROW][C]18[/C][C]-0.031017[/C][C]-0.2149[/C][C]0.584618[/C][/ROW]
[ROW][C]19[/C][C]0.017666[/C][C]0.1224[/C][C]0.45155[/C][/ROW]
[ROW][C]20[/C][C]-0.186988[/C][C]-1.2955[/C][C]0.899326[/C][/ROW]
[ROW][C]21[/C][C]-0.195082[/C][C]-1.3516[/C][C]0.908575[/C][/ROW]
[ROW][C]22[/C][C]0.033039[/C][C]0.2289[/C][C]0.409958[/C][/ROW]
[ROW][C]23[/C][C]-0.074705[/C][C]-0.5176[/C][C]0.696434[/C][/ROW]
[ROW][C]24[/C][C]0.128866[/C][C]0.8928[/C][C]0.188207[/C][/ROW]
[ROW][C]25[/C][C]0.018101[/C][C]0.1254[/C][C]0.450363[/C][/ROW]
[ROW][C]26[/C][C]-0.071855[/C][C]-0.4978[/C][C]0.689559[/C][/ROW]
[ROW][C]27[/C][C]-0.027263[/C][C]-0.1889[/C][C]0.574508[/C][/ROW]
[ROW][C]28[/C][C]0.133161[/C][C]0.9226[/C][C]0.180423[/C][/ROW]
[ROW][C]29[/C][C]-0.107403[/C][C]-0.7441[/C][C]0.76978[/C][/ROW]
[ROW][C]30[/C][C]0.006521[/C][C]0.0452[/C][C]0.482077[/C][/ROW]
[ROW][C]31[/C][C]-0.099471[/C][C]-0.6892[/C][C]0.752978[/C][/ROW]
[ROW][C]32[/C][C]-0.161353[/C][C]-1.1179[/C][C]0.86541[/C][/ROW]
[ROW][C]33[/C][C]-0.034888[/C][C]-0.2417[/C][C]0.594984[/C][/ROW]
[ROW][C]34[/C][C]0.099559[/C][C]0.6898[/C][C]0.246831[/C][/ROW]
[ROW][C]35[/C][C]0.040902[/C][C]0.2834[/C][C]0.389053[/C][/ROW]
[ROW][C]36[/C][C]0.07877[/C][C]0.5457[/C][C]0.293887[/C][/ROW]
[ROW][C]37[/C][C]-0.064957[/C][C]-0.45[/C][C]0.672644[/C][/ROW]
[ROW][C]38[/C][C]0.089707[/C][C]0.6215[/C][C]0.268603[/C][/ROW]
[ROW][C]39[/C][C]-0.062501[/C][C]-0.433[/C][C]0.666531[/C][/ROW]
[ROW][C]40[/C][C]-0.047045[/C][C]-0.3259[/C][C]0.627056[/C][/ROW]
[ROW][C]41[/C][C]-0.042396[/C][C]-0.2937[/C][C]0.614885[/C][/ROW]
[ROW][C]42[/C][C]-0.042041[/C][C]-0.2913[/C][C]0.61395[/C][/ROW]
[ROW][C]43[/C][C]-0.082297[/C][C]-0.5702[/C][C]0.714388[/C][/ROW]
[ROW][C]44[/C][C]-0.081009[/C][C]-0.5612[/C][C]0.711381[/C][/ROW]
[ROW][C]45[/C][C]-0.002969[/C][C]-0.0206[/C][C]0.508162[/C][/ROW]
[ROW][C]46[/C][C]0.0435[/C][C]0.3014[/C][C]0.382214[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2645&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2645&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
00.8855626.13540
1-0.111427-0.7720.778047
2-0.113081-0.78340.781393
30.1044340.72350.236429
40.0847160.58690.28
5-0.001675-0.01160.504604
6-0.216732-1.50160.93012
7-0.10275-0.71190.760006
8-0.200325-1.38790.914211
9-0.33468-2.31870.987643
100.0087210.06040.476037
11-0.0045-0.03120.512371
120.3438882.38250.010601
13-0.173815-1.20420.882797
14-0.099416-0.68880.75286
150.1324070.91730.181774
160.0395240.27380.392694
170.0430660.29840.383354
18-0.031017-0.21490.584618
190.0176660.12240.45155
20-0.186988-1.29550.899326
21-0.195082-1.35160.908575
220.0330390.22890.409958
23-0.074705-0.51760.696434
240.1288660.89280.188207
250.0181010.12540.450363
26-0.071855-0.49780.689559
27-0.027263-0.18890.574508
280.1331610.92260.180423
29-0.107403-0.74410.76978
300.0065210.04520.482077
31-0.099471-0.68920.752978
32-0.161353-1.11790.86541
33-0.034888-0.24170.594984
340.0995590.68980.246831
350.0409020.28340.389053
360.078770.54570.293887
37-0.064957-0.450.672644
380.0897070.62150.268603
39-0.062501-0.4330.666531
40-0.047045-0.32590.627056
41-0.042396-0.29370.614885
42-0.042041-0.29130.61395
43-0.082297-0.57020.714388
44-0.081009-0.56120.711381
45-0.002969-0.02060.508162
460.04350.30140.382214
47NANANA



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')