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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 23 Nov 2011 09:02:10 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/23/t1322057008qs3bo2viujlsrmt.htm/, Retrieved Thu, 28 Mar 2024 12:16:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146521, Retrieved Thu, 28 Mar 2024 12:16:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorelatie ind...] [2011-11-23 14:02:10] [280688e1dcdd2fd70f339c81d6605b50] [Current]
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Dataseries X:
98.6
98.8
99.9
100.3
100.2
100.2
100.6
100.4
100.7
100.9
99.7
99.7
96.8
99.2
99.9
99.3
98.9
98.9
98.7
98.4
98.6
98.5
98.1
98.3
98.1
97.9
99.1
98.5
98.2
97.8
98
98
97.6
97.6
97.6
97.5
96.1
96.1
96.3
96.3
96.3
96
96
95.2
96
96.1
95.3
95.1
94.8
94.5
94.7
94.8
94.5
94.5
92.8
92.8
94.5
94.4
94.2
94.1
92.9
93.3
93.6
93.6
94
94
94.2
93.3
93
93
94.7
95.6
95.8
96
95.4
95.3
94.4
94.4
94.3
93.9
94.5
93.6
93.9
93.9
93.7
94.6
94.4
94
91.1
91.1
90.7
90.8
89.8
90.7
90.3
89.7
89
88.4
89.3
89.3
89.3
89.3
88.4
89.4
91.3
90.9
91
89.3
88.1
89
90.1
90.6
90.6
90.2
89.5
90.5
90.4
89.7
90
90.2
89.3
89.6
89.8
89.4
89.3
89.4
89.5
89.2
90
88
88.3
89.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146521&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146521&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146521&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.096759-1.10750.135063
2-0.12048-1.3790.085129
3-0.138461-1.58480.057716
4-0.142435-1.63020.052726
50.0622680.71270.238654
60.128171.4670.07239
70.0904691.03550.15118
8-0.078967-0.90380.183876
90.0029230.03350.486681
10-0.146548-1.67730.047933
110.0257510.29470.384333
120.1167851.33670.091824
130.0557790.63840.262159
14-0.038444-0.440.330329
150.0023590.0270.489251
16-0.120343-1.37740.08537
17-0.053048-0.60720.272397
18-0.015589-0.17840.429333
190.0294630.33720.368246
20-0.016586-0.18980.424867
210.0910351.04190.149678
22-0.043576-0.49880.309394
23-0.156827-1.7950.037482
240.0888231.01660.155603
25-0.073064-0.83630.202268
26-0.010357-0.11850.452911
270.0073290.08390.466638
28-0.002489-0.02850.488656
290.0104160.11920.452642
30-0.001056-0.01210.495185
310.0088080.10080.459925
32-0.025244-0.28890.386546
330.0618220.70760.240231
34-0.022502-0.25750.39858
35-0.005108-0.05850.476732
36-0.037505-0.42930.334216
37-0.046793-0.53560.296582
380.0124070.1420.443649
390.0208580.23870.405844
400.029280.33510.369035
410.0048340.05530.477982
420.1445171.65410.050254
43-0.008371-0.09580.46191
44-0.160664-1.83890.034098
450.0759930.86980.193005
46-0.078982-0.9040.183829
470.0133090.15230.439579
480.1743031.9950.024059

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.096759 & -1.1075 & 0.135063 \tabularnewline
2 & -0.12048 & -1.379 & 0.085129 \tabularnewline
3 & -0.138461 & -1.5848 & 0.057716 \tabularnewline
4 & -0.142435 & -1.6302 & 0.052726 \tabularnewline
5 & 0.062268 & 0.7127 & 0.238654 \tabularnewline
6 & 0.12817 & 1.467 & 0.07239 \tabularnewline
7 & 0.090469 & 1.0355 & 0.15118 \tabularnewline
8 & -0.078967 & -0.9038 & 0.183876 \tabularnewline
9 & 0.002923 & 0.0335 & 0.486681 \tabularnewline
10 & -0.146548 & -1.6773 & 0.047933 \tabularnewline
11 & 0.025751 & 0.2947 & 0.384333 \tabularnewline
12 & 0.116785 & 1.3367 & 0.091824 \tabularnewline
13 & 0.055779 & 0.6384 & 0.262159 \tabularnewline
14 & -0.038444 & -0.44 & 0.330329 \tabularnewline
15 & 0.002359 & 0.027 & 0.489251 \tabularnewline
16 & -0.120343 & -1.3774 & 0.08537 \tabularnewline
17 & -0.053048 & -0.6072 & 0.272397 \tabularnewline
18 & -0.015589 & -0.1784 & 0.429333 \tabularnewline
19 & 0.029463 & 0.3372 & 0.368246 \tabularnewline
20 & -0.016586 & -0.1898 & 0.424867 \tabularnewline
21 & 0.091035 & 1.0419 & 0.149678 \tabularnewline
22 & -0.043576 & -0.4988 & 0.309394 \tabularnewline
23 & -0.156827 & -1.795 & 0.037482 \tabularnewline
24 & 0.088823 & 1.0166 & 0.155603 \tabularnewline
25 & -0.073064 & -0.8363 & 0.202268 \tabularnewline
26 & -0.010357 & -0.1185 & 0.452911 \tabularnewline
27 & 0.007329 & 0.0839 & 0.466638 \tabularnewline
28 & -0.002489 & -0.0285 & 0.488656 \tabularnewline
29 & 0.010416 & 0.1192 & 0.452642 \tabularnewline
30 & -0.001056 & -0.0121 & 0.495185 \tabularnewline
31 & 0.008808 & 0.1008 & 0.459925 \tabularnewline
32 & -0.025244 & -0.2889 & 0.386546 \tabularnewline
33 & 0.061822 & 0.7076 & 0.240231 \tabularnewline
34 & -0.022502 & -0.2575 & 0.39858 \tabularnewline
35 & -0.005108 & -0.0585 & 0.476732 \tabularnewline
36 & -0.037505 & -0.4293 & 0.334216 \tabularnewline
37 & -0.046793 & -0.5356 & 0.296582 \tabularnewline
38 & 0.012407 & 0.142 & 0.443649 \tabularnewline
39 & 0.020858 & 0.2387 & 0.405844 \tabularnewline
40 & 0.02928 & 0.3351 & 0.369035 \tabularnewline
41 & 0.004834 & 0.0553 & 0.477982 \tabularnewline
42 & 0.144517 & 1.6541 & 0.050254 \tabularnewline
43 & -0.008371 & -0.0958 & 0.46191 \tabularnewline
44 & -0.160664 & -1.8389 & 0.034098 \tabularnewline
45 & 0.075993 & 0.8698 & 0.193005 \tabularnewline
46 & -0.078982 & -0.904 & 0.183829 \tabularnewline
47 & 0.013309 & 0.1523 & 0.439579 \tabularnewline
48 & 0.174303 & 1.995 & 0.024059 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146521&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]-0.096759[/C][C]-1.1075[/C][C]0.135063[/C][/ROW]
[ROW][C]2[/C][C]-0.12048[/C][C]-1.379[/C][C]0.085129[/C][/ROW]
[ROW][C]3[/C][C]-0.138461[/C][C]-1.5848[/C][C]0.057716[/C][/ROW]
[ROW][C]4[/C][C]-0.142435[/C][C]-1.6302[/C][C]0.052726[/C][/ROW]
[ROW][C]5[/C][C]0.062268[/C][C]0.7127[/C][C]0.238654[/C][/ROW]
[ROW][C]6[/C][C]0.12817[/C][C]1.467[/C][C]0.07239[/C][/ROW]
[ROW][C]7[/C][C]0.090469[/C][C]1.0355[/C][C]0.15118[/C][/ROW]
[ROW][C]8[/C][C]-0.078967[/C][C]-0.9038[/C][C]0.183876[/C][/ROW]
[ROW][C]9[/C][C]0.002923[/C][C]0.0335[/C][C]0.486681[/C][/ROW]
[ROW][C]10[/C][C]-0.146548[/C][C]-1.6773[/C][C]0.047933[/C][/ROW]
[ROW][C]11[/C][C]0.025751[/C][C]0.2947[/C][C]0.384333[/C][/ROW]
[ROW][C]12[/C][C]0.116785[/C][C]1.3367[/C][C]0.091824[/C][/ROW]
[ROW][C]13[/C][C]0.055779[/C][C]0.6384[/C][C]0.262159[/C][/ROW]
[ROW][C]14[/C][C]-0.038444[/C][C]-0.44[/C][C]0.330329[/C][/ROW]
[ROW][C]15[/C][C]0.002359[/C][C]0.027[/C][C]0.489251[/C][/ROW]
[ROW][C]16[/C][C]-0.120343[/C][C]-1.3774[/C][C]0.08537[/C][/ROW]
[ROW][C]17[/C][C]-0.053048[/C][C]-0.6072[/C][C]0.272397[/C][/ROW]
[ROW][C]18[/C][C]-0.015589[/C][C]-0.1784[/C][C]0.429333[/C][/ROW]
[ROW][C]19[/C][C]0.029463[/C][C]0.3372[/C][C]0.368246[/C][/ROW]
[ROW][C]20[/C][C]-0.016586[/C][C]-0.1898[/C][C]0.424867[/C][/ROW]
[ROW][C]21[/C][C]0.091035[/C][C]1.0419[/C][C]0.149678[/C][/ROW]
[ROW][C]22[/C][C]-0.043576[/C][C]-0.4988[/C][C]0.309394[/C][/ROW]
[ROW][C]23[/C][C]-0.156827[/C][C]-1.795[/C][C]0.037482[/C][/ROW]
[ROW][C]24[/C][C]0.088823[/C][C]1.0166[/C][C]0.155603[/C][/ROW]
[ROW][C]25[/C][C]-0.073064[/C][C]-0.8363[/C][C]0.202268[/C][/ROW]
[ROW][C]26[/C][C]-0.010357[/C][C]-0.1185[/C][C]0.452911[/C][/ROW]
[ROW][C]27[/C][C]0.007329[/C][C]0.0839[/C][C]0.466638[/C][/ROW]
[ROW][C]28[/C][C]-0.002489[/C][C]-0.0285[/C][C]0.488656[/C][/ROW]
[ROW][C]29[/C][C]0.010416[/C][C]0.1192[/C][C]0.452642[/C][/ROW]
[ROW][C]30[/C][C]-0.001056[/C][C]-0.0121[/C][C]0.495185[/C][/ROW]
[ROW][C]31[/C][C]0.008808[/C][C]0.1008[/C][C]0.459925[/C][/ROW]
[ROW][C]32[/C][C]-0.025244[/C][C]-0.2889[/C][C]0.386546[/C][/ROW]
[ROW][C]33[/C][C]0.061822[/C][C]0.7076[/C][C]0.240231[/C][/ROW]
[ROW][C]34[/C][C]-0.022502[/C][C]-0.2575[/C][C]0.39858[/C][/ROW]
[ROW][C]35[/C][C]-0.005108[/C][C]-0.0585[/C][C]0.476732[/C][/ROW]
[ROW][C]36[/C][C]-0.037505[/C][C]-0.4293[/C][C]0.334216[/C][/ROW]
[ROW][C]37[/C][C]-0.046793[/C][C]-0.5356[/C][C]0.296582[/C][/ROW]
[ROW][C]38[/C][C]0.012407[/C][C]0.142[/C][C]0.443649[/C][/ROW]
[ROW][C]39[/C][C]0.020858[/C][C]0.2387[/C][C]0.405844[/C][/ROW]
[ROW][C]40[/C][C]0.02928[/C][C]0.3351[/C][C]0.369035[/C][/ROW]
[ROW][C]41[/C][C]0.004834[/C][C]0.0553[/C][C]0.477982[/C][/ROW]
[ROW][C]42[/C][C]0.144517[/C][C]1.6541[/C][C]0.050254[/C][/ROW]
[ROW][C]43[/C][C]-0.008371[/C][C]-0.0958[/C][C]0.46191[/C][/ROW]
[ROW][C]44[/C][C]-0.160664[/C][C]-1.8389[/C][C]0.034098[/C][/ROW]
[ROW][C]45[/C][C]0.075993[/C][C]0.8698[/C][C]0.193005[/C][/ROW]
[ROW][C]46[/C][C]-0.078982[/C][C]-0.904[/C][C]0.183829[/C][/ROW]
[ROW][C]47[/C][C]0.013309[/C][C]0.1523[/C][C]0.439579[/C][/ROW]
[ROW][C]48[/C][C]0.174303[/C][C]1.995[/C][C]0.024059[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146521&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146521&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
1-0.096759-1.10750.135063
2-0.12048-1.3790.085129
3-0.138461-1.58480.057716
4-0.142435-1.63020.052726
50.0622680.71270.238654
60.128171.4670.07239
70.0904691.03550.15118
8-0.078967-0.90380.183876
90.0029230.03350.486681
10-0.146548-1.67730.047933
110.0257510.29470.384333
120.1167851.33670.091824
130.0557790.63840.262159
14-0.038444-0.440.330329
150.0023590.0270.489251
16-0.120343-1.37740.08537
17-0.053048-0.60720.272397
18-0.015589-0.17840.429333
190.0294630.33720.368246
20-0.016586-0.18980.424867
210.0910351.04190.149678
22-0.043576-0.49880.309394
23-0.156827-1.7950.037482
240.0888231.01660.155603
25-0.073064-0.83630.202268
26-0.010357-0.11850.452911
270.0073290.08390.466638
28-0.002489-0.02850.488656
290.0104160.11920.452642
30-0.001056-0.01210.495185
310.0088080.10080.459925
32-0.025244-0.28890.386546
330.0618220.70760.240231
34-0.022502-0.25750.39858
35-0.005108-0.05850.476732
36-0.037505-0.42930.334216
37-0.046793-0.53560.296582
380.0124070.1420.443649
390.0208580.23870.405844
400.029280.33510.369035
410.0048340.05530.477982
420.1445171.65410.050254
43-0.008371-0.09580.46191
44-0.160664-1.83890.034098
450.0759930.86980.193005
46-0.078982-0.9040.183829
470.0133090.15230.439579
480.1743031.9950.024059







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.096759-1.10750.135063
2-0.13107-1.50020.06799
3-0.168781-1.93180.027772
4-0.206156-2.35960.009887
5-0.033071-0.37850.35283
60.0615540.70450.241179
70.079650.91160.181817
8-0.045747-0.52360.300723
90.0560270.64130.261237
10-0.106973-1.22440.111506
11-0.001849-0.02120.491575
120.0622970.7130.23855
130.050630.57950.281627
14-0.03204-0.36670.357212
150.0556570.6370.262611
16-0.075572-0.8650.19432
17-0.06231-0.71320.238504
18-0.117332-1.34290.09081
19-0.044852-0.51340.304283
20-0.109174-1.24960.106845
210.0589310.67450.250592
22-0.02917-0.33390.369508
23-0.131481-1.50490.067383
240.03580.40980.341328
25-0.081276-0.93020.176977
26-0.104638-1.19760.116611
27-0.07818-0.89480.186264
28-0.041783-0.47820.316642
290.0137290.15710.437688
30-0.022947-0.26260.396619
310.0218370.24990.401513
32-0.006811-0.0780.468993
330.0126450.14470.442573
34-0.020464-0.23420.407591
35-0.00623-0.07130.471632
36-0.085564-0.97930.164612
37-0.07202-0.82430.205632
38-0.026156-0.29940.382566
39-0.046235-0.52920.298785
40-0.038921-0.44550.328357
41-0.036654-0.41950.33776
420.1370691.56880.05955
430.0324820.37180.355329
44-0.135214-1.54760.062067
450.0505740.57880.281842
46-0.108209-1.23850.108871
47-0.046957-0.53750.295934
480.107951.23550.109419

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.096759 & -1.1075 & 0.135063 \tabularnewline
2 & -0.13107 & -1.5002 & 0.06799 \tabularnewline
3 & -0.168781 & -1.9318 & 0.027772 \tabularnewline
4 & -0.206156 & -2.3596 & 0.009887 \tabularnewline
5 & -0.033071 & -0.3785 & 0.35283 \tabularnewline
6 & 0.061554 & 0.7045 & 0.241179 \tabularnewline
7 & 0.07965 & 0.9116 & 0.181817 \tabularnewline
8 & -0.045747 & -0.5236 & 0.300723 \tabularnewline
9 & 0.056027 & 0.6413 & 0.261237 \tabularnewline
10 & -0.106973 & -1.2244 & 0.111506 \tabularnewline
11 & -0.001849 & -0.0212 & 0.491575 \tabularnewline
12 & 0.062297 & 0.713 & 0.23855 \tabularnewline
13 & 0.05063 & 0.5795 & 0.281627 \tabularnewline
14 & -0.03204 & -0.3667 & 0.357212 \tabularnewline
15 & 0.055657 & 0.637 & 0.262611 \tabularnewline
16 & -0.075572 & -0.865 & 0.19432 \tabularnewline
17 & -0.06231 & -0.7132 & 0.238504 \tabularnewline
18 & -0.117332 & -1.3429 & 0.09081 \tabularnewline
19 & -0.044852 & -0.5134 & 0.304283 \tabularnewline
20 & -0.109174 & -1.2496 & 0.106845 \tabularnewline
21 & 0.058931 & 0.6745 & 0.250592 \tabularnewline
22 & -0.02917 & -0.3339 & 0.369508 \tabularnewline
23 & -0.131481 & -1.5049 & 0.067383 \tabularnewline
24 & 0.0358 & 0.4098 & 0.341328 \tabularnewline
25 & -0.081276 & -0.9302 & 0.176977 \tabularnewline
26 & -0.104638 & -1.1976 & 0.116611 \tabularnewline
27 & -0.07818 & -0.8948 & 0.186264 \tabularnewline
28 & -0.041783 & -0.4782 & 0.316642 \tabularnewline
29 & 0.013729 & 0.1571 & 0.437688 \tabularnewline
30 & -0.022947 & -0.2626 & 0.396619 \tabularnewline
31 & 0.021837 & 0.2499 & 0.401513 \tabularnewline
32 & -0.006811 & -0.078 & 0.468993 \tabularnewline
33 & 0.012645 & 0.1447 & 0.442573 \tabularnewline
34 & -0.020464 & -0.2342 & 0.407591 \tabularnewline
35 & -0.00623 & -0.0713 & 0.471632 \tabularnewline
36 & -0.085564 & -0.9793 & 0.164612 \tabularnewline
37 & -0.07202 & -0.8243 & 0.205632 \tabularnewline
38 & -0.026156 & -0.2994 & 0.382566 \tabularnewline
39 & -0.046235 & -0.5292 & 0.298785 \tabularnewline
40 & -0.038921 & -0.4455 & 0.328357 \tabularnewline
41 & -0.036654 & -0.4195 & 0.33776 \tabularnewline
42 & 0.137069 & 1.5688 & 0.05955 \tabularnewline
43 & 0.032482 & 0.3718 & 0.355329 \tabularnewline
44 & -0.135214 & -1.5476 & 0.062067 \tabularnewline
45 & 0.050574 & 0.5788 & 0.281842 \tabularnewline
46 & -0.108209 & -1.2385 & 0.108871 \tabularnewline
47 & -0.046957 & -0.5375 & 0.295934 \tabularnewline
48 & 0.10795 & 1.2355 & 0.109419 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146521&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]-0.096759[/C][C]-1.1075[/C][C]0.135063[/C][/ROW]
[ROW][C]2[/C][C]-0.13107[/C][C]-1.5002[/C][C]0.06799[/C][/ROW]
[ROW][C]3[/C][C]-0.168781[/C][C]-1.9318[/C][C]0.027772[/C][/ROW]
[ROW][C]4[/C][C]-0.206156[/C][C]-2.3596[/C][C]0.009887[/C][/ROW]
[ROW][C]5[/C][C]-0.033071[/C][C]-0.3785[/C][C]0.35283[/C][/ROW]
[ROW][C]6[/C][C]0.061554[/C][C]0.7045[/C][C]0.241179[/C][/ROW]
[ROW][C]7[/C][C]0.07965[/C][C]0.9116[/C][C]0.181817[/C][/ROW]
[ROW][C]8[/C][C]-0.045747[/C][C]-0.5236[/C][C]0.300723[/C][/ROW]
[ROW][C]9[/C][C]0.056027[/C][C]0.6413[/C][C]0.261237[/C][/ROW]
[ROW][C]10[/C][C]-0.106973[/C][C]-1.2244[/C][C]0.111506[/C][/ROW]
[ROW][C]11[/C][C]-0.001849[/C][C]-0.0212[/C][C]0.491575[/C][/ROW]
[ROW][C]12[/C][C]0.062297[/C][C]0.713[/C][C]0.23855[/C][/ROW]
[ROW][C]13[/C][C]0.05063[/C][C]0.5795[/C][C]0.281627[/C][/ROW]
[ROW][C]14[/C][C]-0.03204[/C][C]-0.3667[/C][C]0.357212[/C][/ROW]
[ROW][C]15[/C][C]0.055657[/C][C]0.637[/C][C]0.262611[/C][/ROW]
[ROW][C]16[/C][C]-0.075572[/C][C]-0.865[/C][C]0.19432[/C][/ROW]
[ROW][C]17[/C][C]-0.06231[/C][C]-0.7132[/C][C]0.238504[/C][/ROW]
[ROW][C]18[/C][C]-0.117332[/C][C]-1.3429[/C][C]0.09081[/C][/ROW]
[ROW][C]19[/C][C]-0.044852[/C][C]-0.5134[/C][C]0.304283[/C][/ROW]
[ROW][C]20[/C][C]-0.109174[/C][C]-1.2496[/C][C]0.106845[/C][/ROW]
[ROW][C]21[/C][C]0.058931[/C][C]0.6745[/C][C]0.250592[/C][/ROW]
[ROW][C]22[/C][C]-0.02917[/C][C]-0.3339[/C][C]0.369508[/C][/ROW]
[ROW][C]23[/C][C]-0.131481[/C][C]-1.5049[/C][C]0.067383[/C][/ROW]
[ROW][C]24[/C][C]0.0358[/C][C]0.4098[/C][C]0.341328[/C][/ROW]
[ROW][C]25[/C][C]-0.081276[/C][C]-0.9302[/C][C]0.176977[/C][/ROW]
[ROW][C]26[/C][C]-0.104638[/C][C]-1.1976[/C][C]0.116611[/C][/ROW]
[ROW][C]27[/C][C]-0.07818[/C][C]-0.8948[/C][C]0.186264[/C][/ROW]
[ROW][C]28[/C][C]-0.041783[/C][C]-0.4782[/C][C]0.316642[/C][/ROW]
[ROW][C]29[/C][C]0.013729[/C][C]0.1571[/C][C]0.437688[/C][/ROW]
[ROW][C]30[/C][C]-0.022947[/C][C]-0.2626[/C][C]0.396619[/C][/ROW]
[ROW][C]31[/C][C]0.021837[/C][C]0.2499[/C][C]0.401513[/C][/ROW]
[ROW][C]32[/C][C]-0.006811[/C][C]-0.078[/C][C]0.468993[/C][/ROW]
[ROW][C]33[/C][C]0.012645[/C][C]0.1447[/C][C]0.442573[/C][/ROW]
[ROW][C]34[/C][C]-0.020464[/C][C]-0.2342[/C][C]0.407591[/C][/ROW]
[ROW][C]35[/C][C]-0.00623[/C][C]-0.0713[/C][C]0.471632[/C][/ROW]
[ROW][C]36[/C][C]-0.085564[/C][C]-0.9793[/C][C]0.164612[/C][/ROW]
[ROW][C]37[/C][C]-0.07202[/C][C]-0.8243[/C][C]0.205632[/C][/ROW]
[ROW][C]38[/C][C]-0.026156[/C][C]-0.2994[/C][C]0.382566[/C][/ROW]
[ROW][C]39[/C][C]-0.046235[/C][C]-0.5292[/C][C]0.298785[/C][/ROW]
[ROW][C]40[/C][C]-0.038921[/C][C]-0.4455[/C][C]0.328357[/C][/ROW]
[ROW][C]41[/C][C]-0.036654[/C][C]-0.4195[/C][C]0.33776[/C][/ROW]
[ROW][C]42[/C][C]0.137069[/C][C]1.5688[/C][C]0.05955[/C][/ROW]
[ROW][C]43[/C][C]0.032482[/C][C]0.3718[/C][C]0.355329[/C][/ROW]
[ROW][C]44[/C][C]-0.135214[/C][C]-1.5476[/C][C]0.062067[/C][/ROW]
[ROW][C]45[/C][C]0.050574[/C][C]0.5788[/C][C]0.281842[/C][/ROW]
[ROW][C]46[/C][C]-0.108209[/C][C]-1.2385[/C][C]0.108871[/C][/ROW]
[ROW][C]47[/C][C]-0.046957[/C][C]-0.5375[/C][C]0.295934[/C][/ROW]
[ROW][C]48[/C][C]0.10795[/C][C]1.2355[/C][C]0.109419[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146521&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146521&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
1-0.096759-1.10750.135063
2-0.13107-1.50020.06799
3-0.168781-1.93180.027772
4-0.206156-2.35960.009887
5-0.033071-0.37850.35283
60.0615540.70450.241179
70.079650.91160.181817
8-0.045747-0.52360.300723
90.0560270.64130.261237
10-0.106973-1.22440.111506
11-0.001849-0.02120.491575
120.0622970.7130.23855
130.050630.57950.281627
14-0.03204-0.36670.357212
150.0556570.6370.262611
16-0.075572-0.8650.19432
17-0.06231-0.71320.238504
18-0.117332-1.34290.09081
19-0.044852-0.51340.304283
20-0.109174-1.24960.106845
210.0589310.67450.250592
22-0.02917-0.33390.369508
23-0.131481-1.50490.067383
240.03580.40980.341328
25-0.081276-0.93020.176977
26-0.104638-1.19760.116611
27-0.07818-0.89480.186264
28-0.041783-0.47820.316642
290.0137290.15710.437688
30-0.022947-0.26260.396619
310.0218370.24990.401513
32-0.006811-0.0780.468993
330.0126450.14470.442573
34-0.020464-0.23420.407591
35-0.00623-0.07130.471632
36-0.085564-0.97930.164612
37-0.07202-0.82430.205632
38-0.026156-0.29940.382566
39-0.046235-0.52920.298785
40-0.038921-0.44550.328357
41-0.036654-0.41950.33776
420.1370691.56880.05955
430.0324820.37180.355329
44-0.135214-1.54760.062067
450.0505740.57880.281842
46-0.108209-1.23850.108871
47-0.046957-0.53750.295934
480.107951.23550.109419



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')