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Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 10 Dec 2008 06:16:57 -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/10/t12289150858dy77sqi3rby8qs.htm/, Retrieved Sat, 25 May 2024 22:14:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=31944, Retrieved Sat, 25 May 2024 22:14:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [bananen - Waerlop...] [2008-12-10 13:16:57] [d393909564acd650d077e72b144b40b8] [Current]
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Dataseries X:
1.83
1.89
1.9
2.01
2.04
2.04
2.03
2.04
1.87
1.85
1.82
1.79
1.88
2.01
1.9
1.96
1.94
1.92
1.79
1.77
1.74
1.75
1.86
1.84
1.77
1.98
1.94
1.85
1.84
1.82
1.83
1.91
1.85
1.81
1.83
1.79
1.8
1.82
1.88
2.01
1.97
1.92
1.98
2.02
1.9
1.94
1.96
1.84
1.87
1.84
2.07
2.08
2.14
2.15
2.05
2.05
1.95
2.02
2.02
1.88
1.96
1.93
2.03
2.1
1.95
2.07
2.09
2.01
1.92
1.99
2.11
2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31944&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31944&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31944&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.182639-1.53890.064132
2-0.132875-1.11960.133324
30.1126950.94960.172771
4-0.150015-1.26410.105173
5-0.072786-0.61330.270817
6-0.186094-1.56810.060657
7-0.043532-0.36680.357426
80.0389440.32810.371884
90.0298890.25180.400943
100.1336371.1260.13197
11-0.145514-1.22610.112102
120.275652.32270.011534
130.0292060.24610.403161
14-0.073044-0.61550.270104
150.0041920.03530.485961
16-0.127528-1.07460.143104
17-0.034413-0.290.386344
18-0.017662-0.14880.441057
190.0086640.0730.471005
200.0944670.7960.214346
21-0.043017-0.36250.359039
22-0.09578-0.80710.211166
23-0.024884-0.20970.41726
240.111390.93860.175562
25-0.063586-0.53580.29689
260.032990.2780.390919
270.1644531.38570.085087
28-0.025074-0.21130.416638
29-0.083604-0.70450.241726
300.0147360.12420.450765
31-0.057369-0.48340.315149
32-0.03735-0.31470.37695
33-0.007477-0.0630.474969
34-0.164551-1.38650.084961
350.1081030.91090.182717
360.0203710.17170.4321
370.0434010.36570.357837
380.1039380.87580.192047
39-0.023017-0.19390.423387
400.1021310.86060.196186
410.0096920.08170.467572
42-0.167767-1.41360.08092
43-0.086126-0.72570.2352
44-0.016294-0.13730.445593
450.0848860.71530.238397
46-0.098448-0.82950.204791
470.0713790.60150.274727
480.0841390.7090.240334

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.182639 & -1.5389 & 0.064132 \tabularnewline
2 & -0.132875 & -1.1196 & 0.133324 \tabularnewline
3 & 0.112695 & 0.9496 & 0.172771 \tabularnewline
4 & -0.150015 & -1.2641 & 0.105173 \tabularnewline
5 & -0.072786 & -0.6133 & 0.270817 \tabularnewline
6 & -0.186094 & -1.5681 & 0.060657 \tabularnewline
7 & -0.043532 & -0.3668 & 0.357426 \tabularnewline
8 & 0.038944 & 0.3281 & 0.371884 \tabularnewline
9 & 0.029889 & 0.2518 & 0.400943 \tabularnewline
10 & 0.133637 & 1.126 & 0.13197 \tabularnewline
11 & -0.145514 & -1.2261 & 0.112102 \tabularnewline
12 & 0.27565 & 2.3227 & 0.011534 \tabularnewline
13 & 0.029206 & 0.2461 & 0.403161 \tabularnewline
14 & -0.073044 & -0.6155 & 0.270104 \tabularnewline
15 & 0.004192 & 0.0353 & 0.485961 \tabularnewline
16 & -0.127528 & -1.0746 & 0.143104 \tabularnewline
17 & -0.034413 & -0.29 & 0.386344 \tabularnewline
18 & -0.017662 & -0.1488 & 0.441057 \tabularnewline
19 & 0.008664 & 0.073 & 0.471005 \tabularnewline
20 & 0.094467 & 0.796 & 0.214346 \tabularnewline
21 & -0.043017 & -0.3625 & 0.359039 \tabularnewline
22 & -0.09578 & -0.8071 & 0.211166 \tabularnewline
23 & -0.024884 & -0.2097 & 0.41726 \tabularnewline
24 & 0.11139 & 0.9386 & 0.175562 \tabularnewline
25 & -0.063586 & -0.5358 & 0.29689 \tabularnewline
26 & 0.03299 & 0.278 & 0.390919 \tabularnewline
27 & 0.164453 & 1.3857 & 0.085087 \tabularnewline
28 & -0.025074 & -0.2113 & 0.416638 \tabularnewline
29 & -0.083604 & -0.7045 & 0.241726 \tabularnewline
30 & 0.014736 & 0.1242 & 0.450765 \tabularnewline
31 & -0.057369 & -0.4834 & 0.315149 \tabularnewline
32 & -0.03735 & -0.3147 & 0.37695 \tabularnewline
33 & -0.007477 & -0.063 & 0.474969 \tabularnewline
34 & -0.164551 & -1.3865 & 0.084961 \tabularnewline
35 & 0.108103 & 0.9109 & 0.182717 \tabularnewline
36 & 0.020371 & 0.1717 & 0.4321 \tabularnewline
37 & 0.043401 & 0.3657 & 0.357837 \tabularnewline
38 & 0.103938 & 0.8758 & 0.192047 \tabularnewline
39 & -0.023017 & -0.1939 & 0.423387 \tabularnewline
40 & 0.102131 & 0.8606 & 0.196186 \tabularnewline
41 & 0.009692 & 0.0817 & 0.467572 \tabularnewline
42 & -0.167767 & -1.4136 & 0.08092 \tabularnewline
43 & -0.086126 & -0.7257 & 0.2352 \tabularnewline
44 & -0.016294 & -0.1373 & 0.445593 \tabularnewline
45 & 0.084886 & 0.7153 & 0.238397 \tabularnewline
46 & -0.098448 & -0.8295 & 0.204791 \tabularnewline
47 & 0.071379 & 0.6015 & 0.274727 \tabularnewline
48 & 0.084139 & 0.709 & 0.240334 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31944&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]-0.182639[/C][C]-1.5389[/C][C]0.064132[/C][/ROW]
[ROW][C]2[/C][C]-0.132875[/C][C]-1.1196[/C][C]0.133324[/C][/ROW]
[ROW][C]3[/C][C]0.112695[/C][C]0.9496[/C][C]0.172771[/C][/ROW]
[ROW][C]4[/C][C]-0.150015[/C][C]-1.2641[/C][C]0.105173[/C][/ROW]
[ROW][C]5[/C][C]-0.072786[/C][C]-0.6133[/C][C]0.270817[/C][/ROW]
[ROW][C]6[/C][C]-0.186094[/C][C]-1.5681[/C][C]0.060657[/C][/ROW]
[ROW][C]7[/C][C]-0.043532[/C][C]-0.3668[/C][C]0.357426[/C][/ROW]
[ROW][C]8[/C][C]0.038944[/C][C]0.3281[/C][C]0.371884[/C][/ROW]
[ROW][C]9[/C][C]0.029889[/C][C]0.2518[/C][C]0.400943[/C][/ROW]
[ROW][C]10[/C][C]0.133637[/C][C]1.126[/C][C]0.13197[/C][/ROW]
[ROW][C]11[/C][C]-0.145514[/C][C]-1.2261[/C][C]0.112102[/C][/ROW]
[ROW][C]12[/C][C]0.27565[/C][C]2.3227[/C][C]0.011534[/C][/ROW]
[ROW][C]13[/C][C]0.029206[/C][C]0.2461[/C][C]0.403161[/C][/ROW]
[ROW][C]14[/C][C]-0.073044[/C][C]-0.6155[/C][C]0.270104[/C][/ROW]
[ROW][C]15[/C][C]0.004192[/C][C]0.0353[/C][C]0.485961[/C][/ROW]
[ROW][C]16[/C][C]-0.127528[/C][C]-1.0746[/C][C]0.143104[/C][/ROW]
[ROW][C]17[/C][C]-0.034413[/C][C]-0.29[/C][C]0.386344[/C][/ROW]
[ROW][C]18[/C][C]-0.017662[/C][C]-0.1488[/C][C]0.441057[/C][/ROW]
[ROW][C]19[/C][C]0.008664[/C][C]0.073[/C][C]0.471005[/C][/ROW]
[ROW][C]20[/C][C]0.094467[/C][C]0.796[/C][C]0.214346[/C][/ROW]
[ROW][C]21[/C][C]-0.043017[/C][C]-0.3625[/C][C]0.359039[/C][/ROW]
[ROW][C]22[/C][C]-0.09578[/C][C]-0.8071[/C][C]0.211166[/C][/ROW]
[ROW][C]23[/C][C]-0.024884[/C][C]-0.2097[/C][C]0.41726[/C][/ROW]
[ROW][C]24[/C][C]0.11139[/C][C]0.9386[/C][C]0.175562[/C][/ROW]
[ROW][C]25[/C][C]-0.063586[/C][C]-0.5358[/C][C]0.29689[/C][/ROW]
[ROW][C]26[/C][C]0.03299[/C][C]0.278[/C][C]0.390919[/C][/ROW]
[ROW][C]27[/C][C]0.164453[/C][C]1.3857[/C][C]0.085087[/C][/ROW]
[ROW][C]28[/C][C]-0.025074[/C][C]-0.2113[/C][C]0.416638[/C][/ROW]
[ROW][C]29[/C][C]-0.083604[/C][C]-0.7045[/C][C]0.241726[/C][/ROW]
[ROW][C]30[/C][C]0.014736[/C][C]0.1242[/C][C]0.450765[/C][/ROW]
[ROW][C]31[/C][C]-0.057369[/C][C]-0.4834[/C][C]0.315149[/C][/ROW]
[ROW][C]32[/C][C]-0.03735[/C][C]-0.3147[/C][C]0.37695[/C][/ROW]
[ROW][C]33[/C][C]-0.007477[/C][C]-0.063[/C][C]0.474969[/C][/ROW]
[ROW][C]34[/C][C]-0.164551[/C][C]-1.3865[/C][C]0.084961[/C][/ROW]
[ROW][C]35[/C][C]0.108103[/C][C]0.9109[/C][C]0.182717[/C][/ROW]
[ROW][C]36[/C][C]0.020371[/C][C]0.1717[/C][C]0.4321[/C][/ROW]
[ROW][C]37[/C][C]0.043401[/C][C]0.3657[/C][C]0.357837[/C][/ROW]
[ROW][C]38[/C][C]0.103938[/C][C]0.8758[/C][C]0.192047[/C][/ROW]
[ROW][C]39[/C][C]-0.023017[/C][C]-0.1939[/C][C]0.423387[/C][/ROW]
[ROW][C]40[/C][C]0.102131[/C][C]0.8606[/C][C]0.196186[/C][/ROW]
[ROW][C]41[/C][C]0.009692[/C][C]0.0817[/C][C]0.467572[/C][/ROW]
[ROW][C]42[/C][C]-0.167767[/C][C]-1.4136[/C][C]0.08092[/C][/ROW]
[ROW][C]43[/C][C]-0.086126[/C][C]-0.7257[/C][C]0.2352[/C][/ROW]
[ROW][C]44[/C][C]-0.016294[/C][C]-0.1373[/C][C]0.445593[/C][/ROW]
[ROW][C]45[/C][C]0.084886[/C][C]0.7153[/C][C]0.238397[/C][/ROW]
[ROW][C]46[/C][C]-0.098448[/C][C]-0.8295[/C][C]0.204791[/C][/ROW]
[ROW][C]47[/C][C]0.071379[/C][C]0.6015[/C][C]0.274727[/C][/ROW]
[ROW][C]48[/C][C]0.084139[/C][C]0.709[/C][C]0.240334[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31944&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31944&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
1-0.182639-1.53890.064132
2-0.132875-1.11960.133324
30.1126950.94960.172771
4-0.150015-1.26410.105173
5-0.072786-0.61330.270817
6-0.186094-1.56810.060657
7-0.043532-0.36680.357426
80.0389440.32810.371884
90.0298890.25180.400943
100.1336371.1260.13197
11-0.145514-1.22610.112102
120.275652.32270.011534
130.0292060.24610.403161
14-0.073044-0.61550.270104
150.0041920.03530.485961
16-0.127528-1.07460.143104
17-0.034413-0.290.386344
18-0.017662-0.14880.441057
190.0086640.0730.471005
200.0944670.7960.214346
21-0.043017-0.36250.359039
22-0.09578-0.80710.211166
23-0.024884-0.20970.41726
240.111390.93860.175562
25-0.063586-0.53580.29689
260.032990.2780.390919
270.1644531.38570.085087
28-0.025074-0.21130.416638
29-0.083604-0.70450.241726
300.0147360.12420.450765
31-0.057369-0.48340.315149
32-0.03735-0.31470.37695
33-0.007477-0.0630.474969
34-0.164551-1.38650.084961
350.1081030.91090.182717
360.0203710.17170.4321
370.0434010.36570.357837
380.1039380.87580.192047
39-0.023017-0.19390.423387
400.1021310.86060.196186
410.0096920.08170.467572
42-0.167767-1.41360.08092
43-0.086126-0.72570.2352
44-0.016294-0.13730.445593
450.0848860.71530.238397
46-0.098448-0.82950.204791
470.0713790.60150.274727
480.0841390.7090.240334







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.182639-1.53890.064132
2-0.171968-1.4490.075867
30.0563360.47470.318231
4-0.147521-1.2430.108972
5-0.114766-0.9670.168405
6-0.302214-2.54650.006525
7-0.194073-1.63530.053207
8-0.148125-1.24810.108044
9-0.067381-0.56780.285994
100.0253340.21350.415787
11-0.252997-2.13180.018243
120.1411471.18930.119137
130.0020390.01720.49317
140.0992470.83630.202903
15-0.021651-0.18240.427881
16-0.043262-0.36450.358273
17-0.068897-0.58050.281696
180.0233070.19640.422435
190.0841980.70950.240179
200.1156810.97470.166498
210.0010170.00860.496595
22-0.289067-2.43570.008687
23-0.168065-1.41610.080553
24-0.043441-0.3660.357711
25-0.052761-0.44460.328991
26-0.001947-0.01640.49348
270.0790920.66640.253644
280.0010490.00880.496485
29-0.100137-0.84380.200815
30-0.003267-0.02750.489057
31-0.024149-0.20350.419671
32-0.027713-0.23350.408019
33-0.050095-0.42210.337111
34-0.212827-1.79330.038591
350.0619840.52230.301548
36-0.124872-1.05220.148139
370.0353810.29810.38324
38-0.057966-0.48840.313376
39-0.190307-1.60360.056626
40-0.078302-0.65980.255764
410.12281.03470.152153
420.0210120.17710.429985
43-0.133029-1.12090.13305
44-0.121752-1.02590.154211
45-0.083893-0.70690.240974
460.0232880.19620.422495
47-0.003352-0.02820.488773
480.0255240.21510.415167

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.182639 & -1.5389 & 0.064132 \tabularnewline
2 & -0.171968 & -1.449 & 0.075867 \tabularnewline
3 & 0.056336 & 0.4747 & 0.318231 \tabularnewline
4 & -0.147521 & -1.243 & 0.108972 \tabularnewline
5 & -0.114766 & -0.967 & 0.168405 \tabularnewline
6 & -0.302214 & -2.5465 & 0.006525 \tabularnewline
7 & -0.194073 & -1.6353 & 0.053207 \tabularnewline
8 & -0.148125 & -1.2481 & 0.108044 \tabularnewline
9 & -0.067381 & -0.5678 & 0.285994 \tabularnewline
10 & 0.025334 & 0.2135 & 0.415787 \tabularnewline
11 & -0.252997 & -2.1318 & 0.018243 \tabularnewline
12 & 0.141147 & 1.1893 & 0.119137 \tabularnewline
13 & 0.002039 & 0.0172 & 0.49317 \tabularnewline
14 & 0.099247 & 0.8363 & 0.202903 \tabularnewline
15 & -0.021651 & -0.1824 & 0.427881 \tabularnewline
16 & -0.043262 & -0.3645 & 0.358273 \tabularnewline
17 & -0.068897 & -0.5805 & 0.281696 \tabularnewline
18 & 0.023307 & 0.1964 & 0.422435 \tabularnewline
19 & 0.084198 & 0.7095 & 0.240179 \tabularnewline
20 & 0.115681 & 0.9747 & 0.166498 \tabularnewline
21 & 0.001017 & 0.0086 & 0.496595 \tabularnewline
22 & -0.289067 & -2.4357 & 0.008687 \tabularnewline
23 & -0.168065 & -1.4161 & 0.080553 \tabularnewline
24 & -0.043441 & -0.366 & 0.357711 \tabularnewline
25 & -0.052761 & -0.4446 & 0.328991 \tabularnewline
26 & -0.001947 & -0.0164 & 0.49348 \tabularnewline
27 & 0.079092 & 0.6664 & 0.253644 \tabularnewline
28 & 0.001049 & 0.0088 & 0.496485 \tabularnewline
29 & -0.100137 & -0.8438 & 0.200815 \tabularnewline
30 & -0.003267 & -0.0275 & 0.489057 \tabularnewline
31 & -0.024149 & -0.2035 & 0.419671 \tabularnewline
32 & -0.027713 & -0.2335 & 0.408019 \tabularnewline
33 & -0.050095 & -0.4221 & 0.337111 \tabularnewline
34 & -0.212827 & -1.7933 & 0.038591 \tabularnewline
35 & 0.061984 & 0.5223 & 0.301548 \tabularnewline
36 & -0.124872 & -1.0522 & 0.148139 \tabularnewline
37 & 0.035381 & 0.2981 & 0.38324 \tabularnewline
38 & -0.057966 & -0.4884 & 0.313376 \tabularnewline
39 & -0.190307 & -1.6036 & 0.056626 \tabularnewline
40 & -0.078302 & -0.6598 & 0.255764 \tabularnewline
41 & 0.1228 & 1.0347 & 0.152153 \tabularnewline
42 & 0.021012 & 0.1771 & 0.429985 \tabularnewline
43 & -0.133029 & -1.1209 & 0.13305 \tabularnewline
44 & -0.121752 & -1.0259 & 0.154211 \tabularnewline
45 & -0.083893 & -0.7069 & 0.240974 \tabularnewline
46 & 0.023288 & 0.1962 & 0.422495 \tabularnewline
47 & -0.003352 & -0.0282 & 0.488773 \tabularnewline
48 & 0.025524 & 0.2151 & 0.415167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=31944&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]-0.182639[/C][C]-1.5389[/C][C]0.064132[/C][/ROW]
[ROW][C]2[/C][C]-0.171968[/C][C]-1.449[/C][C]0.075867[/C][/ROW]
[ROW][C]3[/C][C]0.056336[/C][C]0.4747[/C][C]0.318231[/C][/ROW]
[ROW][C]4[/C][C]-0.147521[/C][C]-1.243[/C][C]0.108972[/C][/ROW]
[ROW][C]5[/C][C]-0.114766[/C][C]-0.967[/C][C]0.168405[/C][/ROW]
[ROW][C]6[/C][C]-0.302214[/C][C]-2.5465[/C][C]0.006525[/C][/ROW]
[ROW][C]7[/C][C]-0.194073[/C][C]-1.6353[/C][C]0.053207[/C][/ROW]
[ROW][C]8[/C][C]-0.148125[/C][C]-1.2481[/C][C]0.108044[/C][/ROW]
[ROW][C]9[/C][C]-0.067381[/C][C]-0.5678[/C][C]0.285994[/C][/ROW]
[ROW][C]10[/C][C]0.025334[/C][C]0.2135[/C][C]0.415787[/C][/ROW]
[ROW][C]11[/C][C]-0.252997[/C][C]-2.1318[/C][C]0.018243[/C][/ROW]
[ROW][C]12[/C][C]0.141147[/C][C]1.1893[/C][C]0.119137[/C][/ROW]
[ROW][C]13[/C][C]0.002039[/C][C]0.0172[/C][C]0.49317[/C][/ROW]
[ROW][C]14[/C][C]0.099247[/C][C]0.8363[/C][C]0.202903[/C][/ROW]
[ROW][C]15[/C][C]-0.021651[/C][C]-0.1824[/C][C]0.427881[/C][/ROW]
[ROW][C]16[/C][C]-0.043262[/C][C]-0.3645[/C][C]0.358273[/C][/ROW]
[ROW][C]17[/C][C]-0.068897[/C][C]-0.5805[/C][C]0.281696[/C][/ROW]
[ROW][C]18[/C][C]0.023307[/C][C]0.1964[/C][C]0.422435[/C][/ROW]
[ROW][C]19[/C][C]0.084198[/C][C]0.7095[/C][C]0.240179[/C][/ROW]
[ROW][C]20[/C][C]0.115681[/C][C]0.9747[/C][C]0.166498[/C][/ROW]
[ROW][C]21[/C][C]0.001017[/C][C]0.0086[/C][C]0.496595[/C][/ROW]
[ROW][C]22[/C][C]-0.289067[/C][C]-2.4357[/C][C]0.008687[/C][/ROW]
[ROW][C]23[/C][C]-0.168065[/C][C]-1.4161[/C][C]0.080553[/C][/ROW]
[ROW][C]24[/C][C]-0.043441[/C][C]-0.366[/C][C]0.357711[/C][/ROW]
[ROW][C]25[/C][C]-0.052761[/C][C]-0.4446[/C][C]0.328991[/C][/ROW]
[ROW][C]26[/C][C]-0.001947[/C][C]-0.0164[/C][C]0.49348[/C][/ROW]
[ROW][C]27[/C][C]0.079092[/C][C]0.6664[/C][C]0.253644[/C][/ROW]
[ROW][C]28[/C][C]0.001049[/C][C]0.0088[/C][C]0.496485[/C][/ROW]
[ROW][C]29[/C][C]-0.100137[/C][C]-0.8438[/C][C]0.200815[/C][/ROW]
[ROW][C]30[/C][C]-0.003267[/C][C]-0.0275[/C][C]0.489057[/C][/ROW]
[ROW][C]31[/C][C]-0.024149[/C][C]-0.2035[/C][C]0.419671[/C][/ROW]
[ROW][C]32[/C][C]-0.027713[/C][C]-0.2335[/C][C]0.408019[/C][/ROW]
[ROW][C]33[/C][C]-0.050095[/C][C]-0.4221[/C][C]0.337111[/C][/ROW]
[ROW][C]34[/C][C]-0.212827[/C][C]-1.7933[/C][C]0.038591[/C][/ROW]
[ROW][C]35[/C][C]0.061984[/C][C]0.5223[/C][C]0.301548[/C][/ROW]
[ROW][C]36[/C][C]-0.124872[/C][C]-1.0522[/C][C]0.148139[/C][/ROW]
[ROW][C]37[/C][C]0.035381[/C][C]0.2981[/C][C]0.38324[/C][/ROW]
[ROW][C]38[/C][C]-0.057966[/C][C]-0.4884[/C][C]0.313376[/C][/ROW]
[ROW][C]39[/C][C]-0.190307[/C][C]-1.6036[/C][C]0.056626[/C][/ROW]
[ROW][C]40[/C][C]-0.078302[/C][C]-0.6598[/C][C]0.255764[/C][/ROW]
[ROW][C]41[/C][C]0.1228[/C][C]1.0347[/C][C]0.152153[/C][/ROW]
[ROW][C]42[/C][C]0.021012[/C][C]0.1771[/C][C]0.429985[/C][/ROW]
[ROW][C]43[/C][C]-0.133029[/C][C]-1.1209[/C][C]0.13305[/C][/ROW]
[ROW][C]44[/C][C]-0.121752[/C][C]-1.0259[/C][C]0.154211[/C][/ROW]
[ROW][C]45[/C][C]-0.083893[/C][C]-0.7069[/C][C]0.240974[/C][/ROW]
[ROW][C]46[/C][C]0.023288[/C][C]0.1962[/C][C]0.422495[/C][/ROW]
[ROW][C]47[/C][C]-0.003352[/C][C]-0.0282[/C][C]0.488773[/C][/ROW]
[ROW][C]48[/C][C]0.025524[/C][C]0.2151[/C][C]0.415167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=31944&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=31944&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
1-0.182639-1.53890.064132
2-0.171968-1.4490.075867
30.0563360.47470.318231
4-0.147521-1.2430.108972
5-0.114766-0.9670.168405
6-0.302214-2.54650.006525
7-0.194073-1.63530.053207
8-0.148125-1.24810.108044
9-0.067381-0.56780.285994
100.0253340.21350.415787
11-0.252997-2.13180.018243
120.1411471.18930.119137
130.0020390.01720.49317
140.0992470.83630.202903
15-0.021651-0.18240.427881
16-0.043262-0.36450.358273
17-0.068897-0.58050.281696
180.0233070.19640.422435
190.0841980.70950.240179
200.1156810.97470.166498
210.0010170.00860.496595
22-0.289067-2.43570.008687
23-0.168065-1.41610.080553
24-0.043441-0.3660.357711
25-0.052761-0.44460.328991
26-0.001947-0.01640.49348
270.0790920.66640.253644
280.0010490.00880.496485
29-0.100137-0.84380.200815
30-0.003267-0.02750.489057
31-0.024149-0.20350.419671
32-0.027713-0.23350.408019
33-0.050095-0.42210.337111
34-0.212827-1.79330.038591
350.0619840.52230.301548
36-0.124872-1.05220.148139
370.0353810.29810.38324
38-0.057966-0.48840.313376
39-0.190307-1.60360.056626
40-0.078302-0.65980.255764
410.12281.03470.152153
420.0210120.17710.429985
43-0.133029-1.12090.13305
44-0.121752-1.02590.154211
45-0.083893-0.70690.240974
460.0232880.19620.422495
47-0.003352-0.02820.488773
480.0255240.21510.415167



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')