Free Statistics

of Irreproducible Research!

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 computationTue, 24 Nov 2009 07:30:12 -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/2009/Nov/24/t12590730308t19t4owjhx9y1x.htm/, Retrieved Sun, 16 Jun 2024 21:42:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59085, Retrieved Sun, 16 Jun 2024 21:42:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [(Partial) Autocorrelation Function] [Identifying Integ...] [2009-11-22 12:16:10] [b98453cac15ba1066b407e146608df68]
-   PD          [(Partial) Autocorrelation Function] [] [2009-11-24 14:30:12] [0f1f1142419956a95ff6f880845f2408] [Current]
-   P             [(Partial) Autocorrelation Function] [] [2009-12-01 11:28:41] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message
Dataseries X:
115.47
103.34
102.6
100.69
105.67
123.61
113.08
106.46
123.38
109.87
95.74
123.06
123.39
120.28
115.33
110.4
114.49
132.03
123.16
118.82
128.32
112.24
104.53
132.57
122.52
131.8
124.55
120.96
122.6
145.52
118.57
134.25
136.7
121.37
111.63
134.42
137.65
137.86
119.77
130.69
128.28
147.45
128.42
136.9
143.95
135.64
122.48
136.83
153.04
142.71
123.46
144.37
146.15
147.61
158.51
147.4
165.05
154.64
126.2
157.36
154.15
123.21
113.07
110.45
113.57
122.44
114.93
111.85
126.04
121.34




Summary of computational 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 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59085&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59085&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59085&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'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.5963164.98912e-06
20.4362563.650.000251
30.5252824.39481.9e-05
40.4631843.87530.000119
50.367693.07630.001495
60.3757293.14360.001224
70.2175721.82030.036491
80.2731832.28560.012654
90.1577511.31980.095595
100.0180780.15130.440106
110.136821.14470.128112
120.3259762.72730.004032
130.092110.77070.221754
140.0086050.0720.471405
150.0720850.60310.274194
160.102550.8580.196912
170.0376790.31520.376758
180.0648750.54280.294502
190.0307990.25770.398703
200.0450380.37680.353727
21-0.048473-0.40560.343155
22-0.119893-1.00310.159634
23-0.041924-0.35080.36341
240.0661350.55330.290903
25-0.0599-0.50120.308917
26-0.170555-1.4270.079017
27-0.094148-0.78770.216765
28-0.03586-0.30.382524
29-0.120849-1.01110.157726
30-0.101054-0.84550.200362
31-0.078576-0.65740.256535
32-0.149229-1.24850.107997
33-0.171955-1.43870.077349
34-0.205009-1.71520.045364
35-0.213933-1.78990.038898
36-0.108038-0.90390.184571
37-0.179222-1.49950.069124
38-0.285478-2.38850.009809
39-0.190875-1.5970.057388
40-0.168067-1.40620.082052
41-0.226482-1.89490.031119
42-0.18408-1.54010.064019
43-0.162986-1.36360.088526
44-0.226735-1.8970.030977
45-0.213127-1.78310.039449
46-0.228208-1.90930.03016
47-0.220578-1.84550.034598
48-0.142101-1.18890.119247
49-0.195515-1.63580.053185
50-0.247249-2.06860.021138
51-0.165885-1.38790.084786
52-0.160119-1.33970.092345
53-0.176093-1.47330.072576
54-0.115759-0.96850.168063
55-0.098945-0.82780.205289
56-0.081994-0.6860.247486
57-0.028204-0.2360.407072
58-0.021611-0.18080.428519
590.0212580.17790.429675
600.0822960.68850.246695

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.596316 & 4.9891 & 2e-06 \tabularnewline
2 & 0.436256 & 3.65 & 0.000251 \tabularnewline
3 & 0.525282 & 4.3948 & 1.9e-05 \tabularnewline
4 & 0.463184 & 3.8753 & 0.000119 \tabularnewline
5 & 0.36769 & 3.0763 & 0.001495 \tabularnewline
6 & 0.375729 & 3.1436 & 0.001224 \tabularnewline
7 & 0.217572 & 1.8203 & 0.036491 \tabularnewline
8 & 0.273183 & 2.2856 & 0.012654 \tabularnewline
9 & 0.157751 & 1.3198 & 0.095595 \tabularnewline
10 & 0.018078 & 0.1513 & 0.440106 \tabularnewline
11 & 0.13682 & 1.1447 & 0.128112 \tabularnewline
12 & 0.325976 & 2.7273 & 0.004032 \tabularnewline
13 & 0.09211 & 0.7707 & 0.221754 \tabularnewline
14 & 0.008605 & 0.072 & 0.471405 \tabularnewline
15 & 0.072085 & 0.6031 & 0.274194 \tabularnewline
16 & 0.10255 & 0.858 & 0.196912 \tabularnewline
17 & 0.037679 & 0.3152 & 0.376758 \tabularnewline
18 & 0.064875 & 0.5428 & 0.294502 \tabularnewline
19 & 0.030799 & 0.2577 & 0.398703 \tabularnewline
20 & 0.045038 & 0.3768 & 0.353727 \tabularnewline
21 & -0.048473 & -0.4056 & 0.343155 \tabularnewline
22 & -0.119893 & -1.0031 & 0.159634 \tabularnewline
23 & -0.041924 & -0.3508 & 0.36341 \tabularnewline
24 & 0.066135 & 0.5533 & 0.290903 \tabularnewline
25 & -0.0599 & -0.5012 & 0.308917 \tabularnewline
26 & -0.170555 & -1.427 & 0.079017 \tabularnewline
27 & -0.094148 & -0.7877 & 0.216765 \tabularnewline
28 & -0.03586 & -0.3 & 0.382524 \tabularnewline
29 & -0.120849 & -1.0111 & 0.157726 \tabularnewline
30 & -0.101054 & -0.8455 & 0.200362 \tabularnewline
31 & -0.078576 & -0.6574 & 0.256535 \tabularnewline
32 & -0.149229 & -1.2485 & 0.107997 \tabularnewline
33 & -0.171955 & -1.4387 & 0.077349 \tabularnewline
34 & -0.205009 & -1.7152 & 0.045364 \tabularnewline
35 & -0.213933 & -1.7899 & 0.038898 \tabularnewline
36 & -0.108038 & -0.9039 & 0.184571 \tabularnewline
37 & -0.179222 & -1.4995 & 0.069124 \tabularnewline
38 & -0.285478 & -2.3885 & 0.009809 \tabularnewline
39 & -0.190875 & -1.597 & 0.057388 \tabularnewline
40 & -0.168067 & -1.4062 & 0.082052 \tabularnewline
41 & -0.226482 & -1.8949 & 0.031119 \tabularnewline
42 & -0.18408 & -1.5401 & 0.064019 \tabularnewline
43 & -0.162986 & -1.3636 & 0.088526 \tabularnewline
44 & -0.226735 & -1.897 & 0.030977 \tabularnewline
45 & -0.213127 & -1.7831 & 0.039449 \tabularnewline
46 & -0.228208 & -1.9093 & 0.03016 \tabularnewline
47 & -0.220578 & -1.8455 & 0.034598 \tabularnewline
48 & -0.142101 & -1.1889 & 0.119247 \tabularnewline
49 & -0.195515 & -1.6358 & 0.053185 \tabularnewline
50 & -0.247249 & -2.0686 & 0.021138 \tabularnewline
51 & -0.165885 & -1.3879 & 0.084786 \tabularnewline
52 & -0.160119 & -1.3397 & 0.092345 \tabularnewline
53 & -0.176093 & -1.4733 & 0.072576 \tabularnewline
54 & -0.115759 & -0.9685 & 0.168063 \tabularnewline
55 & -0.098945 & -0.8278 & 0.205289 \tabularnewline
56 & -0.081994 & -0.686 & 0.247486 \tabularnewline
57 & -0.028204 & -0.236 & 0.407072 \tabularnewline
58 & -0.021611 & -0.1808 & 0.428519 \tabularnewline
59 & 0.021258 & 0.1779 & 0.429675 \tabularnewline
60 & 0.082296 & 0.6885 & 0.246695 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59085&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]0.596316[/C][C]4.9891[/C][C]2e-06[/C][/ROW]
[ROW][C]2[/C][C]0.436256[/C][C]3.65[/C][C]0.000251[/C][/ROW]
[ROW][C]3[/C][C]0.525282[/C][C]4.3948[/C][C]1.9e-05[/C][/ROW]
[ROW][C]4[/C][C]0.463184[/C][C]3.8753[/C][C]0.000119[/C][/ROW]
[ROW][C]5[/C][C]0.36769[/C][C]3.0763[/C][C]0.001495[/C][/ROW]
[ROW][C]6[/C][C]0.375729[/C][C]3.1436[/C][C]0.001224[/C][/ROW]
[ROW][C]7[/C][C]0.217572[/C][C]1.8203[/C][C]0.036491[/C][/ROW]
[ROW][C]8[/C][C]0.273183[/C][C]2.2856[/C][C]0.012654[/C][/ROW]
[ROW][C]9[/C][C]0.157751[/C][C]1.3198[/C][C]0.095595[/C][/ROW]
[ROW][C]10[/C][C]0.018078[/C][C]0.1513[/C][C]0.440106[/C][/ROW]
[ROW][C]11[/C][C]0.13682[/C][C]1.1447[/C][C]0.128112[/C][/ROW]
[ROW][C]12[/C][C]0.325976[/C][C]2.7273[/C][C]0.004032[/C][/ROW]
[ROW][C]13[/C][C]0.09211[/C][C]0.7707[/C][C]0.221754[/C][/ROW]
[ROW][C]14[/C][C]0.008605[/C][C]0.072[/C][C]0.471405[/C][/ROW]
[ROW][C]15[/C][C]0.072085[/C][C]0.6031[/C][C]0.274194[/C][/ROW]
[ROW][C]16[/C][C]0.10255[/C][C]0.858[/C][C]0.196912[/C][/ROW]
[ROW][C]17[/C][C]0.037679[/C][C]0.3152[/C][C]0.376758[/C][/ROW]
[ROW][C]18[/C][C]0.064875[/C][C]0.5428[/C][C]0.294502[/C][/ROW]
[ROW][C]19[/C][C]0.030799[/C][C]0.2577[/C][C]0.398703[/C][/ROW]
[ROW][C]20[/C][C]0.045038[/C][C]0.3768[/C][C]0.353727[/C][/ROW]
[ROW][C]21[/C][C]-0.048473[/C][C]-0.4056[/C][C]0.343155[/C][/ROW]
[ROW][C]22[/C][C]-0.119893[/C][C]-1.0031[/C][C]0.159634[/C][/ROW]
[ROW][C]23[/C][C]-0.041924[/C][C]-0.3508[/C][C]0.36341[/C][/ROW]
[ROW][C]24[/C][C]0.066135[/C][C]0.5533[/C][C]0.290903[/C][/ROW]
[ROW][C]25[/C][C]-0.0599[/C][C]-0.5012[/C][C]0.308917[/C][/ROW]
[ROW][C]26[/C][C]-0.170555[/C][C]-1.427[/C][C]0.079017[/C][/ROW]
[ROW][C]27[/C][C]-0.094148[/C][C]-0.7877[/C][C]0.216765[/C][/ROW]
[ROW][C]28[/C][C]-0.03586[/C][C]-0.3[/C][C]0.382524[/C][/ROW]
[ROW][C]29[/C][C]-0.120849[/C][C]-1.0111[/C][C]0.157726[/C][/ROW]
[ROW][C]30[/C][C]-0.101054[/C][C]-0.8455[/C][C]0.200362[/C][/ROW]
[ROW][C]31[/C][C]-0.078576[/C][C]-0.6574[/C][C]0.256535[/C][/ROW]
[ROW][C]32[/C][C]-0.149229[/C][C]-1.2485[/C][C]0.107997[/C][/ROW]
[ROW][C]33[/C][C]-0.171955[/C][C]-1.4387[/C][C]0.077349[/C][/ROW]
[ROW][C]34[/C][C]-0.205009[/C][C]-1.7152[/C][C]0.045364[/C][/ROW]
[ROW][C]35[/C][C]-0.213933[/C][C]-1.7899[/C][C]0.038898[/C][/ROW]
[ROW][C]36[/C][C]-0.108038[/C][C]-0.9039[/C][C]0.184571[/C][/ROW]
[ROW][C]37[/C][C]-0.179222[/C][C]-1.4995[/C][C]0.069124[/C][/ROW]
[ROW][C]38[/C][C]-0.285478[/C][C]-2.3885[/C][C]0.009809[/C][/ROW]
[ROW][C]39[/C][C]-0.190875[/C][C]-1.597[/C][C]0.057388[/C][/ROW]
[ROW][C]40[/C][C]-0.168067[/C][C]-1.4062[/C][C]0.082052[/C][/ROW]
[ROW][C]41[/C][C]-0.226482[/C][C]-1.8949[/C][C]0.031119[/C][/ROW]
[ROW][C]42[/C][C]-0.18408[/C][C]-1.5401[/C][C]0.064019[/C][/ROW]
[ROW][C]43[/C][C]-0.162986[/C][C]-1.3636[/C][C]0.088526[/C][/ROW]
[ROW][C]44[/C][C]-0.226735[/C][C]-1.897[/C][C]0.030977[/C][/ROW]
[ROW][C]45[/C][C]-0.213127[/C][C]-1.7831[/C][C]0.039449[/C][/ROW]
[ROW][C]46[/C][C]-0.228208[/C][C]-1.9093[/C][C]0.03016[/C][/ROW]
[ROW][C]47[/C][C]-0.220578[/C][C]-1.8455[/C][C]0.034598[/C][/ROW]
[ROW][C]48[/C][C]-0.142101[/C][C]-1.1889[/C][C]0.119247[/C][/ROW]
[ROW][C]49[/C][C]-0.195515[/C][C]-1.6358[/C][C]0.053185[/C][/ROW]
[ROW][C]50[/C][C]-0.247249[/C][C]-2.0686[/C][C]0.021138[/C][/ROW]
[ROW][C]51[/C][C]-0.165885[/C][C]-1.3879[/C][C]0.084786[/C][/ROW]
[ROW][C]52[/C][C]-0.160119[/C][C]-1.3397[/C][C]0.092345[/C][/ROW]
[ROW][C]53[/C][C]-0.176093[/C][C]-1.4733[/C][C]0.072576[/C][/ROW]
[ROW][C]54[/C][C]-0.115759[/C][C]-0.9685[/C][C]0.168063[/C][/ROW]
[ROW][C]55[/C][C]-0.098945[/C][C]-0.8278[/C][C]0.205289[/C][/ROW]
[ROW][C]56[/C][C]-0.081994[/C][C]-0.686[/C][C]0.247486[/C][/ROW]
[ROW][C]57[/C][C]-0.028204[/C][C]-0.236[/C][C]0.407072[/C][/ROW]
[ROW][C]58[/C][C]-0.021611[/C][C]-0.1808[/C][C]0.428519[/C][/ROW]
[ROW][C]59[/C][C]0.021258[/C][C]0.1779[/C][C]0.429675[/C][/ROW]
[ROW][C]60[/C][C]0.082296[/C][C]0.6885[/C][C]0.246695[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59085&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59085&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
10.5963164.98912e-06
20.4362563.650.000251
30.5252824.39481.9e-05
40.4631843.87530.000119
50.367693.07630.001495
60.3757293.14360.001224
70.2175721.82030.036491
80.2731832.28560.012654
90.1577511.31980.095595
100.0180780.15130.440106
110.136821.14470.128112
120.3259762.72730.004032
130.092110.77070.221754
140.0086050.0720.471405
150.0720850.60310.274194
160.102550.8580.196912
170.0376790.31520.376758
180.0648750.54280.294502
190.0307990.25770.398703
200.0450380.37680.353727
21-0.048473-0.40560.343155
22-0.119893-1.00310.159634
23-0.041924-0.35080.36341
240.0661350.55330.290903
25-0.0599-0.50120.308917
26-0.170555-1.4270.079017
27-0.094148-0.78770.216765
28-0.03586-0.30.382524
29-0.120849-1.01110.157726
30-0.101054-0.84550.200362
31-0.078576-0.65740.256535
32-0.149229-1.24850.107997
33-0.171955-1.43870.077349
34-0.205009-1.71520.045364
35-0.213933-1.78990.038898
36-0.108038-0.90390.184571
37-0.179222-1.49950.069124
38-0.285478-2.38850.009809
39-0.190875-1.5970.057388
40-0.168067-1.40620.082052
41-0.226482-1.89490.031119
42-0.18408-1.54010.064019
43-0.162986-1.36360.088526
44-0.226735-1.8970.030977
45-0.213127-1.78310.039449
46-0.228208-1.90930.03016
47-0.220578-1.84550.034598
48-0.142101-1.18890.119247
49-0.195515-1.63580.053185
50-0.247249-2.06860.021138
51-0.165885-1.38790.084786
52-0.160119-1.33970.092345
53-0.176093-1.47330.072576
54-0.115759-0.96850.168063
55-0.098945-0.82780.205289
56-0.081994-0.6860.247486
57-0.028204-0.2360.407072
58-0.021611-0.18080.428519
590.0212580.17790.429675
600.0822960.68850.246695







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5963164.98912e-06
20.1251741.04730.149287
30.3516512.94210.002209
40.0503840.42150.337326
50.0194180.16250.435706
60.0599890.50190.308655
7-0.235186-1.96770.026532
80.1966021.64490.052238
9-0.295154-2.46940.007987
10-0.050072-0.41890.338273
110.1813631.51740.066836
120.3682093.08070.001476
13-0.204385-1.710.045847
14-0.167113-1.39820.083239
15-0.010345-0.08660.465637
160.043380.36290.35887
17-0.068778-0.57540.283421
180.0502960.42080.337593
190.0483530.40450.343521
20-0.108391-0.90690.183795
21-0.02959-0.24760.402596
22-0.009917-0.0830.467056
230.0157320.13160.447828
24-0.062424-0.52230.301563
250.0755320.63190.264741
26-0.151311-1.2660.104862
270.0785720.65740.256545
280.0188140.15740.437689
29-0.03222-0.26960.394141
30-0.052608-0.44020.330592
31-0.046699-0.39070.348599
32-0.133262-1.1150.134342
330.0383240.32060.37472
340.0042990.0360.485705
35-0.115622-0.96740.168346
360.0270520.22630.410801
37-0.006108-0.05110.479694
380.0716940.59980.275277
39-0.097601-0.81660.208467
400.0109610.09170.463595
41-0.049645-0.41540.339574
42-0.052977-0.44320.32948
43-0.005191-0.04340.48274
44-0.064373-0.53860.295941
45-0.005359-0.04480.482183
46-0.038344-0.32080.374655
470.0351560.29410.384762
48-0.021066-0.17630.430302
49-0.060977-0.51020.305769
500.0555690.46490.321714
51-0.0259-0.21670.414538
52-0.037202-0.31130.378265
530.0183090.15320.439346
540.0307430.25720.398884
55-0.005544-0.04640.481569
560.0985670.82470.20618
570.0994790.83230.204034
58-0.021741-0.18190.428095
590.0043520.03640.485529
600.0371460.31080.378442

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.596316 & 4.9891 & 2e-06 \tabularnewline
2 & 0.125174 & 1.0473 & 0.149287 \tabularnewline
3 & 0.351651 & 2.9421 & 0.002209 \tabularnewline
4 & 0.050384 & 0.4215 & 0.337326 \tabularnewline
5 & 0.019418 & 0.1625 & 0.435706 \tabularnewline
6 & 0.059989 & 0.5019 & 0.308655 \tabularnewline
7 & -0.235186 & -1.9677 & 0.026532 \tabularnewline
8 & 0.196602 & 1.6449 & 0.052238 \tabularnewline
9 & -0.295154 & -2.4694 & 0.007987 \tabularnewline
10 & -0.050072 & -0.4189 & 0.338273 \tabularnewline
11 & 0.181363 & 1.5174 & 0.066836 \tabularnewline
12 & 0.368209 & 3.0807 & 0.001476 \tabularnewline
13 & -0.204385 & -1.71 & 0.045847 \tabularnewline
14 & -0.167113 & -1.3982 & 0.083239 \tabularnewline
15 & -0.010345 & -0.0866 & 0.465637 \tabularnewline
16 & 0.04338 & 0.3629 & 0.35887 \tabularnewline
17 & -0.068778 & -0.5754 & 0.283421 \tabularnewline
18 & 0.050296 & 0.4208 & 0.337593 \tabularnewline
19 & 0.048353 & 0.4045 & 0.343521 \tabularnewline
20 & -0.108391 & -0.9069 & 0.183795 \tabularnewline
21 & -0.02959 & -0.2476 & 0.402596 \tabularnewline
22 & -0.009917 & -0.083 & 0.467056 \tabularnewline
23 & 0.015732 & 0.1316 & 0.447828 \tabularnewline
24 & -0.062424 & -0.5223 & 0.301563 \tabularnewline
25 & 0.075532 & 0.6319 & 0.264741 \tabularnewline
26 & -0.151311 & -1.266 & 0.104862 \tabularnewline
27 & 0.078572 & 0.6574 & 0.256545 \tabularnewline
28 & 0.018814 & 0.1574 & 0.437689 \tabularnewline
29 & -0.03222 & -0.2696 & 0.394141 \tabularnewline
30 & -0.052608 & -0.4402 & 0.330592 \tabularnewline
31 & -0.046699 & -0.3907 & 0.348599 \tabularnewline
32 & -0.133262 & -1.115 & 0.134342 \tabularnewline
33 & 0.038324 & 0.3206 & 0.37472 \tabularnewline
34 & 0.004299 & 0.036 & 0.485705 \tabularnewline
35 & -0.115622 & -0.9674 & 0.168346 \tabularnewline
36 & 0.027052 & 0.2263 & 0.410801 \tabularnewline
37 & -0.006108 & -0.0511 & 0.479694 \tabularnewline
38 & 0.071694 & 0.5998 & 0.275277 \tabularnewline
39 & -0.097601 & -0.8166 & 0.208467 \tabularnewline
40 & 0.010961 & 0.0917 & 0.463595 \tabularnewline
41 & -0.049645 & -0.4154 & 0.339574 \tabularnewline
42 & -0.052977 & -0.4432 & 0.32948 \tabularnewline
43 & -0.005191 & -0.0434 & 0.48274 \tabularnewline
44 & -0.064373 & -0.5386 & 0.295941 \tabularnewline
45 & -0.005359 & -0.0448 & 0.482183 \tabularnewline
46 & -0.038344 & -0.3208 & 0.374655 \tabularnewline
47 & 0.035156 & 0.2941 & 0.384762 \tabularnewline
48 & -0.021066 & -0.1763 & 0.430302 \tabularnewline
49 & -0.060977 & -0.5102 & 0.305769 \tabularnewline
50 & 0.055569 & 0.4649 & 0.321714 \tabularnewline
51 & -0.0259 & -0.2167 & 0.414538 \tabularnewline
52 & -0.037202 & -0.3113 & 0.378265 \tabularnewline
53 & 0.018309 & 0.1532 & 0.439346 \tabularnewline
54 & 0.030743 & 0.2572 & 0.398884 \tabularnewline
55 & -0.005544 & -0.0464 & 0.481569 \tabularnewline
56 & 0.098567 & 0.8247 & 0.20618 \tabularnewline
57 & 0.099479 & 0.8323 & 0.204034 \tabularnewline
58 & -0.021741 & -0.1819 & 0.428095 \tabularnewline
59 & 0.004352 & 0.0364 & 0.485529 \tabularnewline
60 & 0.037146 & 0.3108 & 0.378442 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59085&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]0.596316[/C][C]4.9891[/C][C]2e-06[/C][/ROW]
[ROW][C]2[/C][C]0.125174[/C][C]1.0473[/C][C]0.149287[/C][/ROW]
[ROW][C]3[/C][C]0.351651[/C][C]2.9421[/C][C]0.002209[/C][/ROW]
[ROW][C]4[/C][C]0.050384[/C][C]0.4215[/C][C]0.337326[/C][/ROW]
[ROW][C]5[/C][C]0.019418[/C][C]0.1625[/C][C]0.435706[/C][/ROW]
[ROW][C]6[/C][C]0.059989[/C][C]0.5019[/C][C]0.308655[/C][/ROW]
[ROW][C]7[/C][C]-0.235186[/C][C]-1.9677[/C][C]0.026532[/C][/ROW]
[ROW][C]8[/C][C]0.196602[/C][C]1.6449[/C][C]0.052238[/C][/ROW]
[ROW][C]9[/C][C]-0.295154[/C][C]-2.4694[/C][C]0.007987[/C][/ROW]
[ROW][C]10[/C][C]-0.050072[/C][C]-0.4189[/C][C]0.338273[/C][/ROW]
[ROW][C]11[/C][C]0.181363[/C][C]1.5174[/C][C]0.066836[/C][/ROW]
[ROW][C]12[/C][C]0.368209[/C][C]3.0807[/C][C]0.001476[/C][/ROW]
[ROW][C]13[/C][C]-0.204385[/C][C]-1.71[/C][C]0.045847[/C][/ROW]
[ROW][C]14[/C][C]-0.167113[/C][C]-1.3982[/C][C]0.083239[/C][/ROW]
[ROW][C]15[/C][C]-0.010345[/C][C]-0.0866[/C][C]0.465637[/C][/ROW]
[ROW][C]16[/C][C]0.04338[/C][C]0.3629[/C][C]0.35887[/C][/ROW]
[ROW][C]17[/C][C]-0.068778[/C][C]-0.5754[/C][C]0.283421[/C][/ROW]
[ROW][C]18[/C][C]0.050296[/C][C]0.4208[/C][C]0.337593[/C][/ROW]
[ROW][C]19[/C][C]0.048353[/C][C]0.4045[/C][C]0.343521[/C][/ROW]
[ROW][C]20[/C][C]-0.108391[/C][C]-0.9069[/C][C]0.183795[/C][/ROW]
[ROW][C]21[/C][C]-0.02959[/C][C]-0.2476[/C][C]0.402596[/C][/ROW]
[ROW][C]22[/C][C]-0.009917[/C][C]-0.083[/C][C]0.467056[/C][/ROW]
[ROW][C]23[/C][C]0.015732[/C][C]0.1316[/C][C]0.447828[/C][/ROW]
[ROW][C]24[/C][C]-0.062424[/C][C]-0.5223[/C][C]0.301563[/C][/ROW]
[ROW][C]25[/C][C]0.075532[/C][C]0.6319[/C][C]0.264741[/C][/ROW]
[ROW][C]26[/C][C]-0.151311[/C][C]-1.266[/C][C]0.104862[/C][/ROW]
[ROW][C]27[/C][C]0.078572[/C][C]0.6574[/C][C]0.256545[/C][/ROW]
[ROW][C]28[/C][C]0.018814[/C][C]0.1574[/C][C]0.437689[/C][/ROW]
[ROW][C]29[/C][C]-0.03222[/C][C]-0.2696[/C][C]0.394141[/C][/ROW]
[ROW][C]30[/C][C]-0.052608[/C][C]-0.4402[/C][C]0.330592[/C][/ROW]
[ROW][C]31[/C][C]-0.046699[/C][C]-0.3907[/C][C]0.348599[/C][/ROW]
[ROW][C]32[/C][C]-0.133262[/C][C]-1.115[/C][C]0.134342[/C][/ROW]
[ROW][C]33[/C][C]0.038324[/C][C]0.3206[/C][C]0.37472[/C][/ROW]
[ROW][C]34[/C][C]0.004299[/C][C]0.036[/C][C]0.485705[/C][/ROW]
[ROW][C]35[/C][C]-0.115622[/C][C]-0.9674[/C][C]0.168346[/C][/ROW]
[ROW][C]36[/C][C]0.027052[/C][C]0.2263[/C][C]0.410801[/C][/ROW]
[ROW][C]37[/C][C]-0.006108[/C][C]-0.0511[/C][C]0.479694[/C][/ROW]
[ROW][C]38[/C][C]0.071694[/C][C]0.5998[/C][C]0.275277[/C][/ROW]
[ROW][C]39[/C][C]-0.097601[/C][C]-0.8166[/C][C]0.208467[/C][/ROW]
[ROW][C]40[/C][C]0.010961[/C][C]0.0917[/C][C]0.463595[/C][/ROW]
[ROW][C]41[/C][C]-0.049645[/C][C]-0.4154[/C][C]0.339574[/C][/ROW]
[ROW][C]42[/C][C]-0.052977[/C][C]-0.4432[/C][C]0.32948[/C][/ROW]
[ROW][C]43[/C][C]-0.005191[/C][C]-0.0434[/C][C]0.48274[/C][/ROW]
[ROW][C]44[/C][C]-0.064373[/C][C]-0.5386[/C][C]0.295941[/C][/ROW]
[ROW][C]45[/C][C]-0.005359[/C][C]-0.0448[/C][C]0.482183[/C][/ROW]
[ROW][C]46[/C][C]-0.038344[/C][C]-0.3208[/C][C]0.374655[/C][/ROW]
[ROW][C]47[/C][C]0.035156[/C][C]0.2941[/C][C]0.384762[/C][/ROW]
[ROW][C]48[/C][C]-0.021066[/C][C]-0.1763[/C][C]0.430302[/C][/ROW]
[ROW][C]49[/C][C]-0.060977[/C][C]-0.5102[/C][C]0.305769[/C][/ROW]
[ROW][C]50[/C][C]0.055569[/C][C]0.4649[/C][C]0.321714[/C][/ROW]
[ROW][C]51[/C][C]-0.0259[/C][C]-0.2167[/C][C]0.414538[/C][/ROW]
[ROW][C]52[/C][C]-0.037202[/C][C]-0.3113[/C][C]0.378265[/C][/ROW]
[ROW][C]53[/C][C]0.018309[/C][C]0.1532[/C][C]0.439346[/C][/ROW]
[ROW][C]54[/C][C]0.030743[/C][C]0.2572[/C][C]0.398884[/C][/ROW]
[ROW][C]55[/C][C]-0.005544[/C][C]-0.0464[/C][C]0.481569[/C][/ROW]
[ROW][C]56[/C][C]0.098567[/C][C]0.8247[/C][C]0.20618[/C][/ROW]
[ROW][C]57[/C][C]0.099479[/C][C]0.8323[/C][C]0.204034[/C][/ROW]
[ROW][C]58[/C][C]-0.021741[/C][C]-0.1819[/C][C]0.428095[/C][/ROW]
[ROW][C]59[/C][C]0.004352[/C][C]0.0364[/C][C]0.485529[/C][/ROW]
[ROW][C]60[/C][C]0.037146[/C][C]0.3108[/C][C]0.378442[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59085&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59085&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
10.5963164.98912e-06
20.1251741.04730.149287
30.3516512.94210.002209
40.0503840.42150.337326
50.0194180.16250.435706
60.0599890.50190.308655
7-0.235186-1.96770.026532
80.1966021.64490.052238
9-0.295154-2.46940.007987
10-0.050072-0.41890.338273
110.1813631.51740.066836
120.3682093.08070.001476
13-0.204385-1.710.045847
14-0.167113-1.39820.083239
15-0.010345-0.08660.465637
160.043380.36290.35887
17-0.068778-0.57540.283421
180.0502960.42080.337593
190.0483530.40450.343521
20-0.108391-0.90690.183795
21-0.02959-0.24760.402596
22-0.009917-0.0830.467056
230.0157320.13160.447828
24-0.062424-0.52230.301563
250.0755320.63190.264741
26-0.151311-1.2660.104862
270.0785720.65740.256545
280.0188140.15740.437689
29-0.03222-0.26960.394141
30-0.052608-0.44020.330592
31-0.046699-0.39070.348599
32-0.133262-1.1150.134342
330.0383240.32060.37472
340.0042990.0360.485705
35-0.115622-0.96740.168346
360.0270520.22630.410801
37-0.006108-0.05110.479694
380.0716940.59980.275277
39-0.097601-0.81660.208467
400.0109610.09170.463595
41-0.049645-0.41540.339574
42-0.052977-0.44320.32948
43-0.005191-0.04340.48274
44-0.064373-0.53860.295941
45-0.005359-0.04480.482183
46-0.038344-0.32080.374655
470.0351560.29410.384762
48-0.021066-0.17630.430302
49-0.060977-0.51020.305769
500.0555690.46490.321714
51-0.0259-0.21670.414538
52-0.037202-0.31130.378265
530.0183090.15320.439346
540.0307430.25720.398884
55-0.005544-0.04640.481569
560.0985670.82470.20618
570.0994790.83230.204034
58-0.021741-0.18190.428095
590.0043520.03640.485529
600.0371460.31080.378442



Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')