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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, 21 May 2009 09:10:49 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/21/t1242918673d98vdikq12fgb82.htm/, Retrieved Mon, 06 May 2024 20:41:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40276, Retrieved Mon, 06 May 2024 20:41:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [] [2009-04-30 09:56:17] [0be9f7aaf8a087240b9cbd0268550351]
-   P   [(Partial) Autocorrelation Function] [] [2009-05-21 15:07:24] [0be9f7aaf8a087240b9cbd0268550351]
-           [(Partial) Autocorrelation Function] [] [2009-05-21 15:10:49] [06deb41b065a40f2c80cc8da489fa5fe] [Current]
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Dataseries X:
4.43
4.43
4.44
4.44
4.44
4.45
4.47
4.48
4.48
4.5
4.52
4.52
4.53
4.53
4.63
4.66
4.67
4.68
4.69
4.69
4.7
4.71
4.72
4.72
4.72
4.73
4.74
4.76
4.81
4.82
4.83
4.83
4.84
4.89
4.92
4.95
4.95
5.01
5.05
5.08
5.11
5.14
5.17
5.18
5.2
5.22
5.24
5.28
5.29
5.33
5.4
5.43
5.46
5.46
5.46
5.47
5.49
5.5
5.54
5.55
5.55
5.56
5.6
5.61
5.63
5.64
5.66
5.67
5.69
5.77
5.77
5.78
5.8
5.82
5.85
5.87
5.88
5.9
5.91
5.94
5.97
5.98
6
6.01
6.02




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=40276&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=40276&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40276&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
10.1083640.99320.16174
2-0.015896-0.14570.442257
3-0.036598-0.33540.36907
40.003790.03470.486188
50.0930230.85260.198161
6-0.000246-0.00230.499103
70.0397590.36440.358239
80.0119150.10920.45665
9-0.094872-0.86950.193521
10-0.037778-0.34620.365015
110.0446960.40960.341553
120.0664640.60920.272034
130.0493330.45210.326165
140.0109040.09990.460316
15-0.131593-1.20610.115588
16-0.083553-0.76580.222977
170.0096330.08830.464927
18-0.011068-0.10140.459721
190.1682051.54160.063462
20-0.077468-0.710.239833
21-0.044988-0.41230.340577
220.0200140.18340.427451
230.1378151.26310.105025
240.0675020.61870.268904
25-0.017094-0.15670.43794
26-0.209203-1.91740.029295
27-0.045744-0.41930.338052
280.0141560.12970.448539
29-0.031925-0.29260.385277
300.0009380.00860.49658
31-0.040424-0.37050.355974
32-0.007178-0.06580.47385
33-0.094453-0.86570.194566
34-0.073834-0.67670.250229
350.0988080.90560.183873
360.1630441.49430.069419
37-0.055974-0.5130.304645
38-0.071829-0.65830.256064
39-0.157956-1.44770.075712
40-0.040538-0.37150.355587
410.0697390.63920.262227
42-0.008864-0.08120.467723
43-0.087466-0.80160.212512
440.019240.17630.430228
45-0.099026-0.90760.183346
46-0.110163-1.00970.157779
47-0.036744-0.33680.368568
480.008490.07780.469081

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.108364 & 0.9932 & 0.16174 \tabularnewline
2 & -0.015896 & -0.1457 & 0.442257 \tabularnewline
3 & -0.036598 & -0.3354 & 0.36907 \tabularnewline
4 & 0.00379 & 0.0347 & 0.486188 \tabularnewline
5 & 0.093023 & 0.8526 & 0.198161 \tabularnewline
6 & -0.000246 & -0.0023 & 0.499103 \tabularnewline
7 & 0.039759 & 0.3644 & 0.358239 \tabularnewline
8 & 0.011915 & 0.1092 & 0.45665 \tabularnewline
9 & -0.094872 & -0.8695 & 0.193521 \tabularnewline
10 & -0.037778 & -0.3462 & 0.365015 \tabularnewline
11 & 0.044696 & 0.4096 & 0.341553 \tabularnewline
12 & 0.066464 & 0.6092 & 0.272034 \tabularnewline
13 & 0.049333 & 0.4521 & 0.326165 \tabularnewline
14 & 0.010904 & 0.0999 & 0.460316 \tabularnewline
15 & -0.131593 & -1.2061 & 0.115588 \tabularnewline
16 & -0.083553 & -0.7658 & 0.222977 \tabularnewline
17 & 0.009633 & 0.0883 & 0.464927 \tabularnewline
18 & -0.011068 & -0.1014 & 0.459721 \tabularnewline
19 & 0.168205 & 1.5416 & 0.063462 \tabularnewline
20 & -0.077468 & -0.71 & 0.239833 \tabularnewline
21 & -0.044988 & -0.4123 & 0.340577 \tabularnewline
22 & 0.020014 & 0.1834 & 0.427451 \tabularnewline
23 & 0.137815 & 1.2631 & 0.105025 \tabularnewline
24 & 0.067502 & 0.6187 & 0.268904 \tabularnewline
25 & -0.017094 & -0.1567 & 0.43794 \tabularnewline
26 & -0.209203 & -1.9174 & 0.029295 \tabularnewline
27 & -0.045744 & -0.4193 & 0.338052 \tabularnewline
28 & 0.014156 & 0.1297 & 0.448539 \tabularnewline
29 & -0.031925 & -0.2926 & 0.385277 \tabularnewline
30 & 0.000938 & 0.0086 & 0.49658 \tabularnewline
31 & -0.040424 & -0.3705 & 0.355974 \tabularnewline
32 & -0.007178 & -0.0658 & 0.47385 \tabularnewline
33 & -0.094453 & -0.8657 & 0.194566 \tabularnewline
34 & -0.073834 & -0.6767 & 0.250229 \tabularnewline
35 & 0.098808 & 0.9056 & 0.183873 \tabularnewline
36 & 0.163044 & 1.4943 & 0.069419 \tabularnewline
37 & -0.055974 & -0.513 & 0.304645 \tabularnewline
38 & -0.071829 & -0.6583 & 0.256064 \tabularnewline
39 & -0.157956 & -1.4477 & 0.075712 \tabularnewline
40 & -0.040538 & -0.3715 & 0.355587 \tabularnewline
41 & 0.069739 & 0.6392 & 0.262227 \tabularnewline
42 & -0.008864 & -0.0812 & 0.467723 \tabularnewline
43 & -0.087466 & -0.8016 & 0.212512 \tabularnewline
44 & 0.01924 & 0.1763 & 0.430228 \tabularnewline
45 & -0.099026 & -0.9076 & 0.183346 \tabularnewline
46 & -0.110163 & -1.0097 & 0.157779 \tabularnewline
47 & -0.036744 & -0.3368 & 0.368568 \tabularnewline
48 & 0.00849 & 0.0778 & 0.469081 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40276&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]0.108364[/C][C]0.9932[/C][C]0.16174[/C][/ROW]
[ROW][C]2[/C][C]-0.015896[/C][C]-0.1457[/C][C]0.442257[/C][/ROW]
[ROW][C]3[/C][C]-0.036598[/C][C]-0.3354[/C][C]0.36907[/C][/ROW]
[ROW][C]4[/C][C]0.00379[/C][C]0.0347[/C][C]0.486188[/C][/ROW]
[ROW][C]5[/C][C]0.093023[/C][C]0.8526[/C][C]0.198161[/C][/ROW]
[ROW][C]6[/C][C]-0.000246[/C][C]-0.0023[/C][C]0.499103[/C][/ROW]
[ROW][C]7[/C][C]0.039759[/C][C]0.3644[/C][C]0.358239[/C][/ROW]
[ROW][C]8[/C][C]0.011915[/C][C]0.1092[/C][C]0.45665[/C][/ROW]
[ROW][C]9[/C][C]-0.094872[/C][C]-0.8695[/C][C]0.193521[/C][/ROW]
[ROW][C]10[/C][C]-0.037778[/C][C]-0.3462[/C][C]0.365015[/C][/ROW]
[ROW][C]11[/C][C]0.044696[/C][C]0.4096[/C][C]0.341553[/C][/ROW]
[ROW][C]12[/C][C]0.066464[/C][C]0.6092[/C][C]0.272034[/C][/ROW]
[ROW][C]13[/C][C]0.049333[/C][C]0.4521[/C][C]0.326165[/C][/ROW]
[ROW][C]14[/C][C]0.010904[/C][C]0.0999[/C][C]0.460316[/C][/ROW]
[ROW][C]15[/C][C]-0.131593[/C][C]-1.2061[/C][C]0.115588[/C][/ROW]
[ROW][C]16[/C][C]-0.083553[/C][C]-0.7658[/C][C]0.222977[/C][/ROW]
[ROW][C]17[/C][C]0.009633[/C][C]0.0883[/C][C]0.464927[/C][/ROW]
[ROW][C]18[/C][C]-0.011068[/C][C]-0.1014[/C][C]0.459721[/C][/ROW]
[ROW][C]19[/C][C]0.168205[/C][C]1.5416[/C][C]0.063462[/C][/ROW]
[ROW][C]20[/C][C]-0.077468[/C][C]-0.71[/C][C]0.239833[/C][/ROW]
[ROW][C]21[/C][C]-0.044988[/C][C]-0.4123[/C][C]0.340577[/C][/ROW]
[ROW][C]22[/C][C]0.020014[/C][C]0.1834[/C][C]0.427451[/C][/ROW]
[ROW][C]23[/C][C]0.137815[/C][C]1.2631[/C][C]0.105025[/C][/ROW]
[ROW][C]24[/C][C]0.067502[/C][C]0.6187[/C][C]0.268904[/C][/ROW]
[ROW][C]25[/C][C]-0.017094[/C][C]-0.1567[/C][C]0.43794[/C][/ROW]
[ROW][C]26[/C][C]-0.209203[/C][C]-1.9174[/C][C]0.029295[/C][/ROW]
[ROW][C]27[/C][C]-0.045744[/C][C]-0.4193[/C][C]0.338052[/C][/ROW]
[ROW][C]28[/C][C]0.014156[/C][C]0.1297[/C][C]0.448539[/C][/ROW]
[ROW][C]29[/C][C]-0.031925[/C][C]-0.2926[/C][C]0.385277[/C][/ROW]
[ROW][C]30[/C][C]0.000938[/C][C]0.0086[/C][C]0.49658[/C][/ROW]
[ROW][C]31[/C][C]-0.040424[/C][C]-0.3705[/C][C]0.355974[/C][/ROW]
[ROW][C]32[/C][C]-0.007178[/C][C]-0.0658[/C][C]0.47385[/C][/ROW]
[ROW][C]33[/C][C]-0.094453[/C][C]-0.8657[/C][C]0.194566[/C][/ROW]
[ROW][C]34[/C][C]-0.073834[/C][C]-0.6767[/C][C]0.250229[/C][/ROW]
[ROW][C]35[/C][C]0.098808[/C][C]0.9056[/C][C]0.183873[/C][/ROW]
[ROW][C]36[/C][C]0.163044[/C][C]1.4943[/C][C]0.069419[/C][/ROW]
[ROW][C]37[/C][C]-0.055974[/C][C]-0.513[/C][C]0.304645[/C][/ROW]
[ROW][C]38[/C][C]-0.071829[/C][C]-0.6583[/C][C]0.256064[/C][/ROW]
[ROW][C]39[/C][C]-0.157956[/C][C]-1.4477[/C][C]0.075712[/C][/ROW]
[ROW][C]40[/C][C]-0.040538[/C][C]-0.3715[/C][C]0.355587[/C][/ROW]
[ROW][C]41[/C][C]0.069739[/C][C]0.6392[/C][C]0.262227[/C][/ROW]
[ROW][C]42[/C][C]-0.008864[/C][C]-0.0812[/C][C]0.467723[/C][/ROW]
[ROW][C]43[/C][C]-0.087466[/C][C]-0.8016[/C][C]0.212512[/C][/ROW]
[ROW][C]44[/C][C]0.01924[/C][C]0.1763[/C][C]0.430228[/C][/ROW]
[ROW][C]45[/C][C]-0.099026[/C][C]-0.9076[/C][C]0.183346[/C][/ROW]
[ROW][C]46[/C][C]-0.110163[/C][C]-1.0097[/C][C]0.157779[/C][/ROW]
[ROW][C]47[/C][C]-0.036744[/C][C]-0.3368[/C][C]0.368568[/C][/ROW]
[ROW][C]48[/C][C]0.00849[/C][C]0.0778[/C][C]0.469081[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40276&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40276&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
10.1083640.99320.16174
2-0.015896-0.14570.442257
3-0.036598-0.33540.36907
40.003790.03470.486188
50.0930230.85260.198161
6-0.000246-0.00230.499103
70.0397590.36440.358239
80.0119150.10920.45665
9-0.094872-0.86950.193521
10-0.037778-0.34620.365015
110.0446960.40960.341553
120.0664640.60920.272034
130.0493330.45210.326165
140.0109040.09990.460316
15-0.131593-1.20610.115588
16-0.083553-0.76580.222977
170.0096330.08830.464927
18-0.011068-0.10140.459721
190.1682051.54160.063462
20-0.077468-0.710.239833
21-0.044988-0.41230.340577
220.0200140.18340.427451
230.1378151.26310.105025
240.0675020.61870.268904
25-0.017094-0.15670.43794
26-0.209203-1.91740.029295
27-0.045744-0.41930.338052
280.0141560.12970.448539
29-0.031925-0.29260.385277
300.0009380.00860.49658
31-0.040424-0.37050.355974
32-0.007178-0.06580.47385
33-0.094453-0.86570.194566
34-0.073834-0.67670.250229
350.0988080.90560.183873
360.1630441.49430.069419
37-0.055974-0.5130.304645
38-0.071829-0.65830.256064
39-0.157956-1.44770.075712
40-0.040538-0.37150.355587
410.0697390.63920.262227
42-0.008864-0.08120.467723
43-0.087466-0.80160.212512
440.019240.17630.430228
45-0.099026-0.90760.183346
46-0.110163-1.00970.157779
47-0.036744-0.33680.368568
480.008490.07780.469081







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1083640.99320.16174
2-0.027967-0.25630.399163
3-0.0322-0.29510.384318
40.0110850.10160.459659
50.0912340.83620.202714
6-0.021876-0.20050.420789
70.0467870.42880.334578
80.0085560.07840.468841
9-0.099386-0.91090.18248
10-0.022192-0.20340.419659
110.0530120.48590.314165
120.0413380.37890.352871
130.0375350.3440.365847
140.0245850.22530.411137
15-0.135187-1.2390.109397
16-0.059087-0.54150.294785
170.021140.19370.423421
18-0.043449-0.39820.345739
190.1706421.5640.060793
20-0.088779-0.81370.209066
21-0.01093-0.10020.460222
220.048850.44770.327755
230.1482851.35910.088883
24-0.026828-0.24590.403185
25-0.017238-0.1580.437422
26-0.230782-2.11510.01869
270.0019330.01770.492954
280.0550710.50470.307532
29-0.034295-0.31430.377031
30-0.033743-0.30930.378943
31-0.035747-0.32760.372005
320.0080430.07370.470707
33-0.083526-0.76550.223051
340.0003860.00350.498593
350.0622130.57020.285034
360.1198991.09890.137477
37-0.069144-0.63370.263996
38-0.028606-0.26220.396913
39-0.09977-0.91440.18156
40-0.017834-0.16350.435277
410.0264190.24210.404633
42-0.111619-1.0230.154621
43-0.093369-0.85570.197287
440.084770.77690.219692
45-0.012032-0.11030.456228
46-0.185581-1.70090.046333
47-0.041858-0.38360.351108
487.4e-057e-040.499729

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.108364 & 0.9932 & 0.16174 \tabularnewline
2 & -0.027967 & -0.2563 & 0.399163 \tabularnewline
3 & -0.0322 & -0.2951 & 0.384318 \tabularnewline
4 & 0.011085 & 0.1016 & 0.459659 \tabularnewline
5 & 0.091234 & 0.8362 & 0.202714 \tabularnewline
6 & -0.021876 & -0.2005 & 0.420789 \tabularnewline
7 & 0.046787 & 0.4288 & 0.334578 \tabularnewline
8 & 0.008556 & 0.0784 & 0.468841 \tabularnewline
9 & -0.099386 & -0.9109 & 0.18248 \tabularnewline
10 & -0.022192 & -0.2034 & 0.419659 \tabularnewline
11 & 0.053012 & 0.4859 & 0.314165 \tabularnewline
12 & 0.041338 & 0.3789 & 0.352871 \tabularnewline
13 & 0.037535 & 0.344 & 0.365847 \tabularnewline
14 & 0.024585 & 0.2253 & 0.411137 \tabularnewline
15 & -0.135187 & -1.239 & 0.109397 \tabularnewline
16 & -0.059087 & -0.5415 & 0.294785 \tabularnewline
17 & 0.02114 & 0.1937 & 0.423421 \tabularnewline
18 & -0.043449 & -0.3982 & 0.345739 \tabularnewline
19 & 0.170642 & 1.564 & 0.060793 \tabularnewline
20 & -0.088779 & -0.8137 & 0.209066 \tabularnewline
21 & -0.01093 & -0.1002 & 0.460222 \tabularnewline
22 & 0.04885 & 0.4477 & 0.327755 \tabularnewline
23 & 0.148285 & 1.3591 & 0.088883 \tabularnewline
24 & -0.026828 & -0.2459 & 0.403185 \tabularnewline
25 & -0.017238 & -0.158 & 0.437422 \tabularnewline
26 & -0.230782 & -2.1151 & 0.01869 \tabularnewline
27 & 0.001933 & 0.0177 & 0.492954 \tabularnewline
28 & 0.055071 & 0.5047 & 0.307532 \tabularnewline
29 & -0.034295 & -0.3143 & 0.377031 \tabularnewline
30 & -0.033743 & -0.3093 & 0.378943 \tabularnewline
31 & -0.035747 & -0.3276 & 0.372005 \tabularnewline
32 & 0.008043 & 0.0737 & 0.470707 \tabularnewline
33 & -0.083526 & -0.7655 & 0.223051 \tabularnewline
34 & 0.000386 & 0.0035 & 0.498593 \tabularnewline
35 & 0.062213 & 0.5702 & 0.285034 \tabularnewline
36 & 0.119899 & 1.0989 & 0.137477 \tabularnewline
37 & -0.069144 & -0.6337 & 0.263996 \tabularnewline
38 & -0.028606 & -0.2622 & 0.396913 \tabularnewline
39 & -0.09977 & -0.9144 & 0.18156 \tabularnewline
40 & -0.017834 & -0.1635 & 0.435277 \tabularnewline
41 & 0.026419 & 0.2421 & 0.404633 \tabularnewline
42 & -0.111619 & -1.023 & 0.154621 \tabularnewline
43 & -0.093369 & -0.8557 & 0.197287 \tabularnewline
44 & 0.08477 & 0.7769 & 0.219692 \tabularnewline
45 & -0.012032 & -0.1103 & 0.456228 \tabularnewline
46 & -0.185581 & -1.7009 & 0.046333 \tabularnewline
47 & -0.041858 & -0.3836 & 0.351108 \tabularnewline
48 & 7.4e-05 & 7e-04 & 0.499729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40276&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]0.108364[/C][C]0.9932[/C][C]0.16174[/C][/ROW]
[ROW][C]2[/C][C]-0.027967[/C][C]-0.2563[/C][C]0.399163[/C][/ROW]
[ROW][C]3[/C][C]-0.0322[/C][C]-0.2951[/C][C]0.384318[/C][/ROW]
[ROW][C]4[/C][C]0.011085[/C][C]0.1016[/C][C]0.459659[/C][/ROW]
[ROW][C]5[/C][C]0.091234[/C][C]0.8362[/C][C]0.202714[/C][/ROW]
[ROW][C]6[/C][C]-0.021876[/C][C]-0.2005[/C][C]0.420789[/C][/ROW]
[ROW][C]7[/C][C]0.046787[/C][C]0.4288[/C][C]0.334578[/C][/ROW]
[ROW][C]8[/C][C]0.008556[/C][C]0.0784[/C][C]0.468841[/C][/ROW]
[ROW][C]9[/C][C]-0.099386[/C][C]-0.9109[/C][C]0.18248[/C][/ROW]
[ROW][C]10[/C][C]-0.022192[/C][C]-0.2034[/C][C]0.419659[/C][/ROW]
[ROW][C]11[/C][C]0.053012[/C][C]0.4859[/C][C]0.314165[/C][/ROW]
[ROW][C]12[/C][C]0.041338[/C][C]0.3789[/C][C]0.352871[/C][/ROW]
[ROW][C]13[/C][C]0.037535[/C][C]0.344[/C][C]0.365847[/C][/ROW]
[ROW][C]14[/C][C]0.024585[/C][C]0.2253[/C][C]0.411137[/C][/ROW]
[ROW][C]15[/C][C]-0.135187[/C][C]-1.239[/C][C]0.109397[/C][/ROW]
[ROW][C]16[/C][C]-0.059087[/C][C]-0.5415[/C][C]0.294785[/C][/ROW]
[ROW][C]17[/C][C]0.02114[/C][C]0.1937[/C][C]0.423421[/C][/ROW]
[ROW][C]18[/C][C]-0.043449[/C][C]-0.3982[/C][C]0.345739[/C][/ROW]
[ROW][C]19[/C][C]0.170642[/C][C]1.564[/C][C]0.060793[/C][/ROW]
[ROW][C]20[/C][C]-0.088779[/C][C]-0.8137[/C][C]0.209066[/C][/ROW]
[ROW][C]21[/C][C]-0.01093[/C][C]-0.1002[/C][C]0.460222[/C][/ROW]
[ROW][C]22[/C][C]0.04885[/C][C]0.4477[/C][C]0.327755[/C][/ROW]
[ROW][C]23[/C][C]0.148285[/C][C]1.3591[/C][C]0.088883[/C][/ROW]
[ROW][C]24[/C][C]-0.026828[/C][C]-0.2459[/C][C]0.403185[/C][/ROW]
[ROW][C]25[/C][C]-0.017238[/C][C]-0.158[/C][C]0.437422[/C][/ROW]
[ROW][C]26[/C][C]-0.230782[/C][C]-2.1151[/C][C]0.01869[/C][/ROW]
[ROW][C]27[/C][C]0.001933[/C][C]0.0177[/C][C]0.492954[/C][/ROW]
[ROW][C]28[/C][C]0.055071[/C][C]0.5047[/C][C]0.307532[/C][/ROW]
[ROW][C]29[/C][C]-0.034295[/C][C]-0.3143[/C][C]0.377031[/C][/ROW]
[ROW][C]30[/C][C]-0.033743[/C][C]-0.3093[/C][C]0.378943[/C][/ROW]
[ROW][C]31[/C][C]-0.035747[/C][C]-0.3276[/C][C]0.372005[/C][/ROW]
[ROW][C]32[/C][C]0.008043[/C][C]0.0737[/C][C]0.470707[/C][/ROW]
[ROW][C]33[/C][C]-0.083526[/C][C]-0.7655[/C][C]0.223051[/C][/ROW]
[ROW][C]34[/C][C]0.000386[/C][C]0.0035[/C][C]0.498593[/C][/ROW]
[ROW][C]35[/C][C]0.062213[/C][C]0.5702[/C][C]0.285034[/C][/ROW]
[ROW][C]36[/C][C]0.119899[/C][C]1.0989[/C][C]0.137477[/C][/ROW]
[ROW][C]37[/C][C]-0.069144[/C][C]-0.6337[/C][C]0.263996[/C][/ROW]
[ROW][C]38[/C][C]-0.028606[/C][C]-0.2622[/C][C]0.396913[/C][/ROW]
[ROW][C]39[/C][C]-0.09977[/C][C]-0.9144[/C][C]0.18156[/C][/ROW]
[ROW][C]40[/C][C]-0.017834[/C][C]-0.1635[/C][C]0.435277[/C][/ROW]
[ROW][C]41[/C][C]0.026419[/C][C]0.2421[/C][C]0.404633[/C][/ROW]
[ROW][C]42[/C][C]-0.111619[/C][C]-1.023[/C][C]0.154621[/C][/ROW]
[ROW][C]43[/C][C]-0.093369[/C][C]-0.8557[/C][C]0.197287[/C][/ROW]
[ROW][C]44[/C][C]0.08477[/C][C]0.7769[/C][C]0.219692[/C][/ROW]
[ROW][C]45[/C][C]-0.012032[/C][C]-0.1103[/C][C]0.456228[/C][/ROW]
[ROW][C]46[/C][C]-0.185581[/C][C]-1.7009[/C][C]0.046333[/C][/ROW]
[ROW][C]47[/C][C]-0.041858[/C][C]-0.3836[/C][C]0.351108[/C][/ROW]
[ROW][C]48[/C][C]7.4e-05[/C][C]7e-04[/C][C]0.499729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40276&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40276&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
10.1083640.99320.16174
2-0.027967-0.25630.399163
3-0.0322-0.29510.384318
40.0110850.10160.459659
50.0912340.83620.202714
6-0.021876-0.20050.420789
70.0467870.42880.334578
80.0085560.07840.468841
9-0.099386-0.91090.18248
10-0.022192-0.20340.419659
110.0530120.48590.314165
120.0413380.37890.352871
130.0375350.3440.365847
140.0245850.22530.411137
15-0.135187-1.2390.109397
16-0.059087-0.54150.294785
170.021140.19370.423421
18-0.043449-0.39820.345739
190.1706421.5640.060793
20-0.088779-0.81370.209066
21-0.01093-0.10020.460222
220.048850.44770.327755
230.1482851.35910.088883
24-0.026828-0.24590.403185
25-0.017238-0.1580.437422
26-0.230782-2.11510.01869
270.0019330.01770.492954
280.0550710.50470.307532
29-0.034295-0.31430.377031
30-0.033743-0.30930.378943
31-0.035747-0.32760.372005
320.0080430.07370.470707
33-0.083526-0.76550.223051
340.0003860.00350.498593
350.0622130.57020.285034
360.1198991.09890.137477
37-0.069144-0.63370.263996
38-0.028606-0.26220.396913
39-0.09977-0.91440.18156
40-0.017834-0.16350.435277
410.0264190.24210.404633
42-0.111619-1.0230.154621
43-0.093369-0.85570.197287
440.084770.77690.219692
45-0.012032-0.11030.456228
46-0.185581-1.70090.046333
47-0.041858-0.38360.351108
487.4e-057e-040.499729



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')