Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationMon, 26 Jan 2009 10:07:31 -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/Jan/26/t1232989709853awrifrbmyljn.htm/, Retrieved Sun, 05 May 2024 20:19:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36961, Retrieved Sun, 05 May 2024 20:19:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact224
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorelation - ...] [2008-12-10 21:31:46] [65364f12da24daf6c8f7985fc762862c]
-   PD    [(Partial) Autocorrelation Function] [verbetering opgav...] [2009-01-26 17:07:31] [9e20205489828c19845a9d736cd20362] [Current]
Feedback Forum

Post a new message
Dataseries X:
93.89
93.36
92.25
91.07
90.93
90.68
90.65
90.6
90.02
89.74
89.31
89.16
89.15
88.98
88.25
87.36
87.13
86.93
86.93
86.93
86.98
86.16
85.88
85.91
85.91
85.6
84.9
83.67
83.41
83.33
83.32
83.3
82.73
82.2
81.7
81.52
81.52
81.55
81.89
81.8
81.84
81.77
81.77
82.98
83.13
82.84
82.8
82.8
82.8
82.98
81.91
81.64
81.4
81.21
81.21
81.23
81.01
80.55
80.5
80.54
80.54
80.72
80.63
80.36
79.88
79.66
79.66
79.13
78.81
78.67
78.43
78.13
78.13
78.07
76.94
74.97
75
75.1
75.1
75.02
73.87
73.18
72.55
72.42
72.4
72.45
71.42
70.89
70.42
69.57
69.57
69.44
68.25
66.86
66.5
66.46




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36961&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36961&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36961&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2203972.00790.023953
20.0007660.0070.497224
30.0504710.45980.323425
40.0620180.5650.286796
50.115371.05110.148138
6-0.033044-0.3010.382066
70.0016470.0150.494033
80.096750.88140.190314
9-0.022134-0.20160.420342
10-0.020214-0.18420.427168
11-0.114777-1.04570.149375
12-0.471948-4.29972.3e-05
13-0.173357-1.57940.059029
140.0506310.46130.322907
150.0841170.76630.222823
16-0.025386-0.23130.408834
17-0.049339-0.44950.327122
180.1284191.170.122684
190.0980510.89330.187143
200.0479810.43710.331577
210.0059670.05440.47839
220.0019070.01740.493091
230.1629881.48490.07068
240.1411341.28580.101046
250.2955522.69260.004287
260.0095480.0870.465444
27-0.110174-1.00370.159213
28-0.076217-0.69440.244695
29-0.002942-0.02680.489341
30-0.032525-0.29630.383863
31-0.115291-1.05030.148304
32-0.11867-1.08110.141385
330.0532860.48550.314315
340.0336160.30630.380089
35-0.170233-1.55090.062366
36-0.169387-1.54320.063294
37-0.247864-2.25810.01328
380.0406520.37040.356028
390.0870890.79340.214897
400.0581120.52940.298963
41-0.035863-0.32670.372349
42-0.062586-0.57020.285045
430.0689210.62790.265896
44-0.009586-0.08730.46531
45-0.074295-0.67690.25019
46-0.020162-0.18370.427355
470.0226480.20630.418518
480.1196021.08960.139517

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.220397 & 2.0079 & 0.023953 \tabularnewline
2 & 0.000766 & 0.007 & 0.497224 \tabularnewline
3 & 0.050471 & 0.4598 & 0.323425 \tabularnewline
4 & 0.062018 & 0.565 & 0.286796 \tabularnewline
5 & 0.11537 & 1.0511 & 0.148138 \tabularnewline
6 & -0.033044 & -0.301 & 0.382066 \tabularnewline
7 & 0.001647 & 0.015 & 0.494033 \tabularnewline
8 & 0.09675 & 0.8814 & 0.190314 \tabularnewline
9 & -0.022134 & -0.2016 & 0.420342 \tabularnewline
10 & -0.020214 & -0.1842 & 0.427168 \tabularnewline
11 & -0.114777 & -1.0457 & 0.149375 \tabularnewline
12 & -0.471948 & -4.2997 & 2.3e-05 \tabularnewline
13 & -0.173357 & -1.5794 & 0.059029 \tabularnewline
14 & 0.050631 & 0.4613 & 0.322907 \tabularnewline
15 & 0.084117 & 0.7663 & 0.222823 \tabularnewline
16 & -0.025386 & -0.2313 & 0.408834 \tabularnewline
17 & -0.049339 & -0.4495 & 0.327122 \tabularnewline
18 & 0.128419 & 1.17 & 0.122684 \tabularnewline
19 & 0.098051 & 0.8933 & 0.187143 \tabularnewline
20 & 0.047981 & 0.4371 & 0.331577 \tabularnewline
21 & 0.005967 & 0.0544 & 0.47839 \tabularnewline
22 & 0.001907 & 0.0174 & 0.493091 \tabularnewline
23 & 0.162988 & 1.4849 & 0.07068 \tabularnewline
24 & 0.141134 & 1.2858 & 0.101046 \tabularnewline
25 & 0.295552 & 2.6926 & 0.004287 \tabularnewline
26 & 0.009548 & 0.087 & 0.465444 \tabularnewline
27 & -0.110174 & -1.0037 & 0.159213 \tabularnewline
28 & -0.076217 & -0.6944 & 0.244695 \tabularnewline
29 & -0.002942 & -0.0268 & 0.489341 \tabularnewline
30 & -0.032525 & -0.2963 & 0.383863 \tabularnewline
31 & -0.115291 & -1.0503 & 0.148304 \tabularnewline
32 & -0.11867 & -1.0811 & 0.141385 \tabularnewline
33 & 0.053286 & 0.4855 & 0.314315 \tabularnewline
34 & 0.033616 & 0.3063 & 0.380089 \tabularnewline
35 & -0.170233 & -1.5509 & 0.062366 \tabularnewline
36 & -0.169387 & -1.5432 & 0.063294 \tabularnewline
37 & -0.247864 & -2.2581 & 0.01328 \tabularnewline
38 & 0.040652 & 0.3704 & 0.356028 \tabularnewline
39 & 0.087089 & 0.7934 & 0.214897 \tabularnewline
40 & 0.058112 & 0.5294 & 0.298963 \tabularnewline
41 & -0.035863 & -0.3267 & 0.372349 \tabularnewline
42 & -0.062586 & -0.5702 & 0.285045 \tabularnewline
43 & 0.068921 & 0.6279 & 0.265896 \tabularnewline
44 & -0.009586 & -0.0873 & 0.46531 \tabularnewline
45 & -0.074295 & -0.6769 & 0.25019 \tabularnewline
46 & -0.020162 & -0.1837 & 0.427355 \tabularnewline
47 & 0.022648 & 0.2063 & 0.418518 \tabularnewline
48 & 0.119602 & 1.0896 & 0.139517 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36961&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]0.220397[/C][C]2.0079[/C][C]0.023953[/C][/ROW]
[ROW][C]2[/C][C]0.000766[/C][C]0.007[/C][C]0.497224[/C][/ROW]
[ROW][C]3[/C][C]0.050471[/C][C]0.4598[/C][C]0.323425[/C][/ROW]
[ROW][C]4[/C][C]0.062018[/C][C]0.565[/C][C]0.286796[/C][/ROW]
[ROW][C]5[/C][C]0.11537[/C][C]1.0511[/C][C]0.148138[/C][/ROW]
[ROW][C]6[/C][C]-0.033044[/C][C]-0.301[/C][C]0.382066[/C][/ROW]
[ROW][C]7[/C][C]0.001647[/C][C]0.015[/C][C]0.494033[/C][/ROW]
[ROW][C]8[/C][C]0.09675[/C][C]0.8814[/C][C]0.190314[/C][/ROW]
[ROW][C]9[/C][C]-0.022134[/C][C]-0.2016[/C][C]0.420342[/C][/ROW]
[ROW][C]10[/C][C]-0.020214[/C][C]-0.1842[/C][C]0.427168[/C][/ROW]
[ROW][C]11[/C][C]-0.114777[/C][C]-1.0457[/C][C]0.149375[/C][/ROW]
[ROW][C]12[/C][C]-0.471948[/C][C]-4.2997[/C][C]2.3e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.173357[/C][C]-1.5794[/C][C]0.059029[/C][/ROW]
[ROW][C]14[/C][C]0.050631[/C][C]0.4613[/C][C]0.322907[/C][/ROW]
[ROW][C]15[/C][C]0.084117[/C][C]0.7663[/C][C]0.222823[/C][/ROW]
[ROW][C]16[/C][C]-0.025386[/C][C]-0.2313[/C][C]0.408834[/C][/ROW]
[ROW][C]17[/C][C]-0.049339[/C][C]-0.4495[/C][C]0.327122[/C][/ROW]
[ROW][C]18[/C][C]0.128419[/C][C]1.17[/C][C]0.122684[/C][/ROW]
[ROW][C]19[/C][C]0.098051[/C][C]0.8933[/C][C]0.187143[/C][/ROW]
[ROW][C]20[/C][C]0.047981[/C][C]0.4371[/C][C]0.331577[/C][/ROW]
[ROW][C]21[/C][C]0.005967[/C][C]0.0544[/C][C]0.47839[/C][/ROW]
[ROW][C]22[/C][C]0.001907[/C][C]0.0174[/C][C]0.493091[/C][/ROW]
[ROW][C]23[/C][C]0.162988[/C][C]1.4849[/C][C]0.07068[/C][/ROW]
[ROW][C]24[/C][C]0.141134[/C][C]1.2858[/C][C]0.101046[/C][/ROW]
[ROW][C]25[/C][C]0.295552[/C][C]2.6926[/C][C]0.004287[/C][/ROW]
[ROW][C]26[/C][C]0.009548[/C][C]0.087[/C][C]0.465444[/C][/ROW]
[ROW][C]27[/C][C]-0.110174[/C][C]-1.0037[/C][C]0.159213[/C][/ROW]
[ROW][C]28[/C][C]-0.076217[/C][C]-0.6944[/C][C]0.244695[/C][/ROW]
[ROW][C]29[/C][C]-0.002942[/C][C]-0.0268[/C][C]0.489341[/C][/ROW]
[ROW][C]30[/C][C]-0.032525[/C][C]-0.2963[/C][C]0.383863[/C][/ROW]
[ROW][C]31[/C][C]-0.115291[/C][C]-1.0503[/C][C]0.148304[/C][/ROW]
[ROW][C]32[/C][C]-0.11867[/C][C]-1.0811[/C][C]0.141385[/C][/ROW]
[ROW][C]33[/C][C]0.053286[/C][C]0.4855[/C][C]0.314315[/C][/ROW]
[ROW][C]34[/C][C]0.033616[/C][C]0.3063[/C][C]0.380089[/C][/ROW]
[ROW][C]35[/C][C]-0.170233[/C][C]-1.5509[/C][C]0.062366[/C][/ROW]
[ROW][C]36[/C][C]-0.169387[/C][C]-1.5432[/C][C]0.063294[/C][/ROW]
[ROW][C]37[/C][C]-0.247864[/C][C]-2.2581[/C][C]0.01328[/C][/ROW]
[ROW][C]38[/C][C]0.040652[/C][C]0.3704[/C][C]0.356028[/C][/ROW]
[ROW][C]39[/C][C]0.087089[/C][C]0.7934[/C][C]0.214897[/C][/ROW]
[ROW][C]40[/C][C]0.058112[/C][C]0.5294[/C][C]0.298963[/C][/ROW]
[ROW][C]41[/C][C]-0.035863[/C][C]-0.3267[/C][C]0.372349[/C][/ROW]
[ROW][C]42[/C][C]-0.062586[/C][C]-0.5702[/C][C]0.285045[/C][/ROW]
[ROW][C]43[/C][C]0.068921[/C][C]0.6279[/C][C]0.265896[/C][/ROW]
[ROW][C]44[/C][C]-0.009586[/C][C]-0.0873[/C][C]0.46531[/C][/ROW]
[ROW][C]45[/C][C]-0.074295[/C][C]-0.6769[/C][C]0.25019[/C][/ROW]
[ROW][C]46[/C][C]-0.020162[/C][C]-0.1837[/C][C]0.427355[/C][/ROW]
[ROW][C]47[/C][C]0.022648[/C][C]0.2063[/C][C]0.418518[/C][/ROW]
[ROW][C]48[/C][C]0.119602[/C][C]1.0896[/C][C]0.139517[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36961&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36961&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
10.2203972.00790.023953
20.0007660.0070.497224
30.0504710.45980.323425
40.0620180.5650.286796
50.115371.05110.148138
6-0.033044-0.3010.382066
70.0016470.0150.494033
80.096750.88140.190314
9-0.022134-0.20160.420342
10-0.020214-0.18420.427168
11-0.114777-1.04570.149375
12-0.471948-4.29972.3e-05
13-0.173357-1.57940.059029
140.0506310.46130.322907
150.0841170.76630.222823
16-0.025386-0.23130.408834
17-0.049339-0.44950.327122
180.1284191.170.122684
190.0980510.89330.187143
200.0479810.43710.331577
210.0059670.05440.47839
220.0019070.01740.493091
230.1629881.48490.07068
240.1411341.28580.101046
250.2955522.69260.004287
260.0095480.0870.465444
27-0.110174-1.00370.159213
28-0.076217-0.69440.244695
29-0.002942-0.02680.489341
30-0.032525-0.29630.383863
31-0.115291-1.05030.148304
32-0.11867-1.08110.141385
330.0532860.48550.314315
340.0336160.30630.380089
35-0.170233-1.55090.062366
36-0.169387-1.54320.063294
37-0.247864-2.25810.01328
380.0406520.37040.356028
390.0870890.79340.214897
400.0581120.52940.298963
41-0.035863-0.32670.372349
42-0.062586-0.57020.285045
430.0689210.62790.265896
44-0.009586-0.08730.46531
45-0.074295-0.67690.25019
46-0.020162-0.18370.427355
470.0226480.20630.418518
480.1196021.08960.139517







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2203972.00790.023953
2-0.05025-0.45780.324147
30.0646650.58910.278687
40.038060.34670.364831
50.1014120.92390.179106
6-0.08635-0.78670.216852
70.0340340.31010.378645
80.0779770.71040.239721
9-0.069338-0.63170.26466
10-0.002335-0.02130.491538
11-0.117276-1.06840.144211
12-0.471792-4.29822.3e-05
13-0.005445-0.04960.480279
140.1181421.07630.14245
150.1240781.13040.130781
160.0153320.13970.444627
170.0928910.84630.199915
180.1032950.94110.174701
190.0727090.66240.254772
200.1628551.48370.070841
21-0.051022-0.46480.321633
22-0.118558-1.08010.141609
230.057890.52740.29966
24-0.200631-1.82780.035584
250.2978212.71330.004049
26-0.076657-0.69840.243445
27-0.026511-0.24150.404873
28-0.203774-1.85650.033468
290.0747930.68140.24876
300.0440640.40140.344562
310.0250840.22850.409901
32-0.024367-0.2220.412431
33-0.021711-0.19780.421846
34-0.034058-0.31030.378563
35-0.000791-0.00720.497135
36-0.133975-1.22060.112853
370.0203480.18540.426693
380.0173760.15830.4373
390.010120.09220.463381
40-0.047728-0.43480.33241
41-0.047557-0.43330.332973
42-0.02742-0.24980.401677
43-0.023638-0.21540.415011
44-0.149736-1.36420.088103
450.0328210.2990.382838
460.0321840.29320.385047
47-0.001827-0.01660.493378
48-0.079939-0.72830.234245

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.220397 & 2.0079 & 0.023953 \tabularnewline
2 & -0.05025 & -0.4578 & 0.324147 \tabularnewline
3 & 0.064665 & 0.5891 & 0.278687 \tabularnewline
4 & 0.03806 & 0.3467 & 0.364831 \tabularnewline
5 & 0.101412 & 0.9239 & 0.179106 \tabularnewline
6 & -0.08635 & -0.7867 & 0.216852 \tabularnewline
7 & 0.034034 & 0.3101 & 0.378645 \tabularnewline
8 & 0.077977 & 0.7104 & 0.239721 \tabularnewline
9 & -0.069338 & -0.6317 & 0.26466 \tabularnewline
10 & -0.002335 & -0.0213 & 0.491538 \tabularnewline
11 & -0.117276 & -1.0684 & 0.144211 \tabularnewline
12 & -0.471792 & -4.2982 & 2.3e-05 \tabularnewline
13 & -0.005445 & -0.0496 & 0.480279 \tabularnewline
14 & 0.118142 & 1.0763 & 0.14245 \tabularnewline
15 & 0.124078 & 1.1304 & 0.130781 \tabularnewline
16 & 0.015332 & 0.1397 & 0.444627 \tabularnewline
17 & 0.092891 & 0.8463 & 0.199915 \tabularnewline
18 & 0.103295 & 0.9411 & 0.174701 \tabularnewline
19 & 0.072709 & 0.6624 & 0.254772 \tabularnewline
20 & 0.162855 & 1.4837 & 0.070841 \tabularnewline
21 & -0.051022 & -0.4648 & 0.321633 \tabularnewline
22 & -0.118558 & -1.0801 & 0.141609 \tabularnewline
23 & 0.05789 & 0.5274 & 0.29966 \tabularnewline
24 & -0.200631 & -1.8278 & 0.035584 \tabularnewline
25 & 0.297821 & 2.7133 & 0.004049 \tabularnewline
26 & -0.076657 & -0.6984 & 0.243445 \tabularnewline
27 & -0.026511 & -0.2415 & 0.404873 \tabularnewline
28 & -0.203774 & -1.8565 & 0.033468 \tabularnewline
29 & 0.074793 & 0.6814 & 0.24876 \tabularnewline
30 & 0.044064 & 0.4014 & 0.344562 \tabularnewline
31 & 0.025084 & 0.2285 & 0.409901 \tabularnewline
32 & -0.024367 & -0.222 & 0.412431 \tabularnewline
33 & -0.021711 & -0.1978 & 0.421846 \tabularnewline
34 & -0.034058 & -0.3103 & 0.378563 \tabularnewline
35 & -0.000791 & -0.0072 & 0.497135 \tabularnewline
36 & -0.133975 & -1.2206 & 0.112853 \tabularnewline
37 & 0.020348 & 0.1854 & 0.426693 \tabularnewline
38 & 0.017376 & 0.1583 & 0.4373 \tabularnewline
39 & 0.01012 & 0.0922 & 0.463381 \tabularnewline
40 & -0.047728 & -0.4348 & 0.33241 \tabularnewline
41 & -0.047557 & -0.4333 & 0.332973 \tabularnewline
42 & -0.02742 & -0.2498 & 0.401677 \tabularnewline
43 & -0.023638 & -0.2154 & 0.415011 \tabularnewline
44 & -0.149736 & -1.3642 & 0.088103 \tabularnewline
45 & 0.032821 & 0.299 & 0.382838 \tabularnewline
46 & 0.032184 & 0.2932 & 0.385047 \tabularnewline
47 & -0.001827 & -0.0166 & 0.493378 \tabularnewline
48 & -0.079939 & -0.7283 & 0.234245 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36961&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]0.220397[/C][C]2.0079[/C][C]0.023953[/C][/ROW]
[ROW][C]2[/C][C]-0.05025[/C][C]-0.4578[/C][C]0.324147[/C][/ROW]
[ROW][C]3[/C][C]0.064665[/C][C]0.5891[/C][C]0.278687[/C][/ROW]
[ROW][C]4[/C][C]0.03806[/C][C]0.3467[/C][C]0.364831[/C][/ROW]
[ROW][C]5[/C][C]0.101412[/C][C]0.9239[/C][C]0.179106[/C][/ROW]
[ROW][C]6[/C][C]-0.08635[/C][C]-0.7867[/C][C]0.216852[/C][/ROW]
[ROW][C]7[/C][C]0.034034[/C][C]0.3101[/C][C]0.378645[/C][/ROW]
[ROW][C]8[/C][C]0.077977[/C][C]0.7104[/C][C]0.239721[/C][/ROW]
[ROW][C]9[/C][C]-0.069338[/C][C]-0.6317[/C][C]0.26466[/C][/ROW]
[ROW][C]10[/C][C]-0.002335[/C][C]-0.0213[/C][C]0.491538[/C][/ROW]
[ROW][C]11[/C][C]-0.117276[/C][C]-1.0684[/C][C]0.144211[/C][/ROW]
[ROW][C]12[/C][C]-0.471792[/C][C]-4.2982[/C][C]2.3e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.005445[/C][C]-0.0496[/C][C]0.480279[/C][/ROW]
[ROW][C]14[/C][C]0.118142[/C][C]1.0763[/C][C]0.14245[/C][/ROW]
[ROW][C]15[/C][C]0.124078[/C][C]1.1304[/C][C]0.130781[/C][/ROW]
[ROW][C]16[/C][C]0.015332[/C][C]0.1397[/C][C]0.444627[/C][/ROW]
[ROW][C]17[/C][C]0.092891[/C][C]0.8463[/C][C]0.199915[/C][/ROW]
[ROW][C]18[/C][C]0.103295[/C][C]0.9411[/C][C]0.174701[/C][/ROW]
[ROW][C]19[/C][C]0.072709[/C][C]0.6624[/C][C]0.254772[/C][/ROW]
[ROW][C]20[/C][C]0.162855[/C][C]1.4837[/C][C]0.070841[/C][/ROW]
[ROW][C]21[/C][C]-0.051022[/C][C]-0.4648[/C][C]0.321633[/C][/ROW]
[ROW][C]22[/C][C]-0.118558[/C][C]-1.0801[/C][C]0.141609[/C][/ROW]
[ROW][C]23[/C][C]0.05789[/C][C]0.5274[/C][C]0.29966[/C][/ROW]
[ROW][C]24[/C][C]-0.200631[/C][C]-1.8278[/C][C]0.035584[/C][/ROW]
[ROW][C]25[/C][C]0.297821[/C][C]2.7133[/C][C]0.004049[/C][/ROW]
[ROW][C]26[/C][C]-0.076657[/C][C]-0.6984[/C][C]0.243445[/C][/ROW]
[ROW][C]27[/C][C]-0.026511[/C][C]-0.2415[/C][C]0.404873[/C][/ROW]
[ROW][C]28[/C][C]-0.203774[/C][C]-1.8565[/C][C]0.033468[/C][/ROW]
[ROW][C]29[/C][C]0.074793[/C][C]0.6814[/C][C]0.24876[/C][/ROW]
[ROW][C]30[/C][C]0.044064[/C][C]0.4014[/C][C]0.344562[/C][/ROW]
[ROW][C]31[/C][C]0.025084[/C][C]0.2285[/C][C]0.409901[/C][/ROW]
[ROW][C]32[/C][C]-0.024367[/C][C]-0.222[/C][C]0.412431[/C][/ROW]
[ROW][C]33[/C][C]-0.021711[/C][C]-0.1978[/C][C]0.421846[/C][/ROW]
[ROW][C]34[/C][C]-0.034058[/C][C]-0.3103[/C][C]0.378563[/C][/ROW]
[ROW][C]35[/C][C]-0.000791[/C][C]-0.0072[/C][C]0.497135[/C][/ROW]
[ROW][C]36[/C][C]-0.133975[/C][C]-1.2206[/C][C]0.112853[/C][/ROW]
[ROW][C]37[/C][C]0.020348[/C][C]0.1854[/C][C]0.426693[/C][/ROW]
[ROW][C]38[/C][C]0.017376[/C][C]0.1583[/C][C]0.4373[/C][/ROW]
[ROW][C]39[/C][C]0.01012[/C][C]0.0922[/C][C]0.463381[/C][/ROW]
[ROW][C]40[/C][C]-0.047728[/C][C]-0.4348[/C][C]0.33241[/C][/ROW]
[ROW][C]41[/C][C]-0.047557[/C][C]-0.4333[/C][C]0.332973[/C][/ROW]
[ROW][C]42[/C][C]-0.02742[/C][C]-0.2498[/C][C]0.401677[/C][/ROW]
[ROW][C]43[/C][C]-0.023638[/C][C]-0.2154[/C][C]0.415011[/C][/ROW]
[ROW][C]44[/C][C]-0.149736[/C][C]-1.3642[/C][C]0.088103[/C][/ROW]
[ROW][C]45[/C][C]0.032821[/C][C]0.299[/C][C]0.382838[/C][/ROW]
[ROW][C]46[/C][C]0.032184[/C][C]0.2932[/C][C]0.385047[/C][/ROW]
[ROW][C]47[/C][C]-0.001827[/C][C]-0.0166[/C][C]0.493378[/C][/ROW]
[ROW][C]48[/C][C]-0.079939[/C][C]-0.7283[/C][C]0.234245[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36961&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36961&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
10.2203972.00790.023953
2-0.05025-0.45780.324147
30.0646650.58910.278687
40.038060.34670.364831
50.1014120.92390.179106
6-0.08635-0.78670.216852
70.0340340.31010.378645
80.0779770.71040.239721
9-0.069338-0.63170.26466
10-0.002335-0.02130.491538
11-0.117276-1.06840.144211
12-0.471792-4.29822.3e-05
13-0.005445-0.04960.480279
140.1181421.07630.14245
150.1240781.13040.130781
160.0153320.13970.444627
170.0928910.84630.199915
180.1032950.94110.174701
190.0727090.66240.254772
200.1628551.48370.070841
21-0.051022-0.46480.321633
22-0.118558-1.08010.141609
230.057890.52740.29966
24-0.200631-1.82780.035584
250.2978212.71330.004049
26-0.076657-0.69840.243445
27-0.026511-0.24150.404873
28-0.203774-1.85650.033468
290.0747930.68140.24876
300.0440640.40140.344562
310.0250840.22850.409901
32-0.024367-0.2220.412431
33-0.021711-0.19780.421846
34-0.034058-0.31030.378563
35-0.000791-0.00720.497135
36-0.133975-1.22060.112853
370.0203480.18540.426693
380.0173760.15830.4373
390.010120.09220.463381
40-0.047728-0.43480.33241
41-0.047557-0.43330.332973
42-0.02742-0.24980.401677
43-0.023638-0.21540.415011
44-0.149736-1.36420.088103
450.0328210.2990.382838
460.0321840.29320.385047
47-0.001827-0.01660.493378
48-0.079939-0.72830.234245



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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')