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 computationSat, 13 Dec 2008 02:26:38 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/13/t1229160471y66xicwkd26n9m0.htm/, Retrieved Sun, 19 May 2024 06:04:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32903, Retrieved Sun, 19 May 2024 06:04:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [gedif getrans tij...] [2008-12-13 09:26:38] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
104.7
115.1
102.5
75.3
96.7
94.6
98.6
99.5
92
93.6
89.3
66.9
108.8
113.2
105.5
77.8
102.1
97
95.5
99.3
86.4
92.4
85.7
61.9
104.9
107.9
95.6
79.8
94.8
93.7
108.1
96.9
88.8
106.7
86.8
69.8
110.9
105.4
99.2
84.4
87.2
91.9
97.9
94.5
85
100.3
78.7
65.8
104.8
96
103.3
82.9
91.4
94.5
109.3
92.1
99.3
109.6
87.5
73.1
110.7
111.6
110.7
84
101.6
102.1
113.9
99
100.4
109.5
93.1
77
108
119.9
105.9
78.2
100.3
102.2
97
101.3
89.2
93.3
88.5
61.5
95




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32903&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32903&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32903&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'George Udny Yule' @ 72.249.76.132







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3830473.27280.000814
20.4727044.03886.6e-05
30.600195.1281e-06
40.2594032.21630.014892
50.2192421.87320.032522
60.3080252.63180.005179
7-0.048128-0.41120.341064
8-0.019353-0.16540.434561
90.0007220.00620.497547
10-0.263192-2.24870.013774
11-0.172441-1.47330.07248
12-0.219869-1.87860.032149
13-0.280185-2.39390.00962
14-0.227431-1.94320.027926
15-0.188672-1.6120.055637
16-0.285934-2.4430.008492
17-0.177112-1.51320.067267
18-0.149778-1.27970.102351
19-0.211255-1.8050.037602
20-0.11802-1.00840.158306
21-0.068959-0.58920.278777
22-0.18926-1.6170.055092
230.0028440.02430.490341
24-0.137457-1.17440.12202
25-0.114481-0.97810.165622
26-0.015666-0.13380.446945
27-0.073061-0.62420.26721
28-0.077373-0.66110.255323
290.0552510.47210.319144
30-0.094837-0.81030.210203
310.0113830.09730.461393
320.070930.6060.27319
33-0.034539-0.29510.384377
340.0743490.63520.26363
350.0960870.8210.207169
360.0159310.13610.446053
370.0555850.47490.31813
380.0903010.77150.221441
39-0.04472-0.38210.351754
400.0579140.49480.311106
410.0225670.19280.42382
42-0.067159-0.57380.283932
43-0.010635-0.09090.463923
44-0.029419-0.25140.401121
45-0.170465-1.45650.074778
46-0.025257-0.21580.414874
47-0.066737-0.57020.285145
48-0.169781-1.45060.075586

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.383047 & 3.2728 & 0.000814 \tabularnewline
2 & 0.472704 & 4.0388 & 6.6e-05 \tabularnewline
3 & 0.60019 & 5.128 & 1e-06 \tabularnewline
4 & 0.259403 & 2.2163 & 0.014892 \tabularnewline
5 & 0.219242 & 1.8732 & 0.032522 \tabularnewline
6 & 0.308025 & 2.6318 & 0.005179 \tabularnewline
7 & -0.048128 & -0.4112 & 0.341064 \tabularnewline
8 & -0.019353 & -0.1654 & 0.434561 \tabularnewline
9 & 0.000722 & 0.0062 & 0.497547 \tabularnewline
10 & -0.263192 & -2.2487 & 0.013774 \tabularnewline
11 & -0.172441 & -1.4733 & 0.07248 \tabularnewline
12 & -0.219869 & -1.8786 & 0.032149 \tabularnewline
13 & -0.280185 & -2.3939 & 0.00962 \tabularnewline
14 & -0.227431 & -1.9432 & 0.027926 \tabularnewline
15 & -0.188672 & -1.612 & 0.055637 \tabularnewline
16 & -0.285934 & -2.443 & 0.008492 \tabularnewline
17 & -0.177112 & -1.5132 & 0.067267 \tabularnewline
18 & -0.149778 & -1.2797 & 0.102351 \tabularnewline
19 & -0.211255 & -1.805 & 0.037602 \tabularnewline
20 & -0.11802 & -1.0084 & 0.158306 \tabularnewline
21 & -0.068959 & -0.5892 & 0.278777 \tabularnewline
22 & -0.18926 & -1.617 & 0.055092 \tabularnewline
23 & 0.002844 & 0.0243 & 0.490341 \tabularnewline
24 & -0.137457 & -1.1744 & 0.12202 \tabularnewline
25 & -0.114481 & -0.9781 & 0.165622 \tabularnewline
26 & -0.015666 & -0.1338 & 0.446945 \tabularnewline
27 & -0.073061 & -0.6242 & 0.26721 \tabularnewline
28 & -0.077373 & -0.6611 & 0.255323 \tabularnewline
29 & 0.055251 & 0.4721 & 0.319144 \tabularnewline
30 & -0.094837 & -0.8103 & 0.210203 \tabularnewline
31 & 0.011383 & 0.0973 & 0.461393 \tabularnewline
32 & 0.07093 & 0.606 & 0.27319 \tabularnewline
33 & -0.034539 & -0.2951 & 0.384377 \tabularnewline
34 & 0.074349 & 0.6352 & 0.26363 \tabularnewline
35 & 0.096087 & 0.821 & 0.207169 \tabularnewline
36 & 0.015931 & 0.1361 & 0.446053 \tabularnewline
37 & 0.055585 & 0.4749 & 0.31813 \tabularnewline
38 & 0.090301 & 0.7715 & 0.221441 \tabularnewline
39 & -0.04472 & -0.3821 & 0.351754 \tabularnewline
40 & 0.057914 & 0.4948 & 0.311106 \tabularnewline
41 & 0.022567 & 0.1928 & 0.42382 \tabularnewline
42 & -0.067159 & -0.5738 & 0.283932 \tabularnewline
43 & -0.010635 & -0.0909 & 0.463923 \tabularnewline
44 & -0.029419 & -0.2514 & 0.401121 \tabularnewline
45 & -0.170465 & -1.4565 & 0.074778 \tabularnewline
46 & -0.025257 & -0.2158 & 0.414874 \tabularnewline
47 & -0.066737 & -0.5702 & 0.285145 \tabularnewline
48 & -0.169781 & -1.4506 & 0.075586 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32903&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]0.383047[/C][C]3.2728[/C][C]0.000814[/C][/ROW]
[ROW][C]2[/C][C]0.472704[/C][C]4.0388[/C][C]6.6e-05[/C][/ROW]
[ROW][C]3[/C][C]0.60019[/C][C]5.128[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.259403[/C][C]2.2163[/C][C]0.014892[/C][/ROW]
[ROW][C]5[/C][C]0.219242[/C][C]1.8732[/C][C]0.032522[/C][/ROW]
[ROW][C]6[/C][C]0.308025[/C][C]2.6318[/C][C]0.005179[/C][/ROW]
[ROW][C]7[/C][C]-0.048128[/C][C]-0.4112[/C][C]0.341064[/C][/ROW]
[ROW][C]8[/C][C]-0.019353[/C][C]-0.1654[/C][C]0.434561[/C][/ROW]
[ROW][C]9[/C][C]0.000722[/C][C]0.0062[/C][C]0.497547[/C][/ROW]
[ROW][C]10[/C][C]-0.263192[/C][C]-2.2487[/C][C]0.013774[/C][/ROW]
[ROW][C]11[/C][C]-0.172441[/C][C]-1.4733[/C][C]0.07248[/C][/ROW]
[ROW][C]12[/C][C]-0.219869[/C][C]-1.8786[/C][C]0.032149[/C][/ROW]
[ROW][C]13[/C][C]-0.280185[/C][C]-2.3939[/C][C]0.00962[/C][/ROW]
[ROW][C]14[/C][C]-0.227431[/C][C]-1.9432[/C][C]0.027926[/C][/ROW]
[ROW][C]15[/C][C]-0.188672[/C][C]-1.612[/C][C]0.055637[/C][/ROW]
[ROW][C]16[/C][C]-0.285934[/C][C]-2.443[/C][C]0.008492[/C][/ROW]
[ROW][C]17[/C][C]-0.177112[/C][C]-1.5132[/C][C]0.067267[/C][/ROW]
[ROW][C]18[/C][C]-0.149778[/C][C]-1.2797[/C][C]0.102351[/C][/ROW]
[ROW][C]19[/C][C]-0.211255[/C][C]-1.805[/C][C]0.037602[/C][/ROW]
[ROW][C]20[/C][C]-0.11802[/C][C]-1.0084[/C][C]0.158306[/C][/ROW]
[ROW][C]21[/C][C]-0.068959[/C][C]-0.5892[/C][C]0.278777[/C][/ROW]
[ROW][C]22[/C][C]-0.18926[/C][C]-1.617[/C][C]0.055092[/C][/ROW]
[ROW][C]23[/C][C]0.002844[/C][C]0.0243[/C][C]0.490341[/C][/ROW]
[ROW][C]24[/C][C]-0.137457[/C][C]-1.1744[/C][C]0.12202[/C][/ROW]
[ROW][C]25[/C][C]-0.114481[/C][C]-0.9781[/C][C]0.165622[/C][/ROW]
[ROW][C]26[/C][C]-0.015666[/C][C]-0.1338[/C][C]0.446945[/C][/ROW]
[ROW][C]27[/C][C]-0.073061[/C][C]-0.6242[/C][C]0.26721[/C][/ROW]
[ROW][C]28[/C][C]-0.077373[/C][C]-0.6611[/C][C]0.255323[/C][/ROW]
[ROW][C]29[/C][C]0.055251[/C][C]0.4721[/C][C]0.319144[/C][/ROW]
[ROW][C]30[/C][C]-0.094837[/C][C]-0.8103[/C][C]0.210203[/C][/ROW]
[ROW][C]31[/C][C]0.011383[/C][C]0.0973[/C][C]0.461393[/C][/ROW]
[ROW][C]32[/C][C]0.07093[/C][C]0.606[/C][C]0.27319[/C][/ROW]
[ROW][C]33[/C][C]-0.034539[/C][C]-0.2951[/C][C]0.384377[/C][/ROW]
[ROW][C]34[/C][C]0.074349[/C][C]0.6352[/C][C]0.26363[/C][/ROW]
[ROW][C]35[/C][C]0.096087[/C][C]0.821[/C][C]0.207169[/C][/ROW]
[ROW][C]36[/C][C]0.015931[/C][C]0.1361[/C][C]0.446053[/C][/ROW]
[ROW][C]37[/C][C]0.055585[/C][C]0.4749[/C][C]0.31813[/C][/ROW]
[ROW][C]38[/C][C]0.090301[/C][C]0.7715[/C][C]0.221441[/C][/ROW]
[ROW][C]39[/C][C]-0.04472[/C][C]-0.3821[/C][C]0.351754[/C][/ROW]
[ROW][C]40[/C][C]0.057914[/C][C]0.4948[/C][C]0.311106[/C][/ROW]
[ROW][C]41[/C][C]0.022567[/C][C]0.1928[/C][C]0.42382[/C][/ROW]
[ROW][C]42[/C][C]-0.067159[/C][C]-0.5738[/C][C]0.283932[/C][/ROW]
[ROW][C]43[/C][C]-0.010635[/C][C]-0.0909[/C][C]0.463923[/C][/ROW]
[ROW][C]44[/C][C]-0.029419[/C][C]-0.2514[/C][C]0.401121[/C][/ROW]
[ROW][C]45[/C][C]-0.170465[/C][C]-1.4565[/C][C]0.074778[/C][/ROW]
[ROW][C]46[/C][C]-0.025257[/C][C]-0.2158[/C][C]0.414874[/C][/ROW]
[ROW][C]47[/C][C]-0.066737[/C][C]-0.5702[/C][C]0.285145[/C][/ROW]
[ROW][C]48[/C][C]-0.169781[/C][C]-1.4506[/C][C]0.075586[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32903&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32903&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
10.3830473.27280.000814
20.4727044.03886.6e-05
30.600195.1281e-06
40.2594032.21630.014892
50.2192421.87320.032522
60.3080252.63180.005179
7-0.048128-0.41120.341064
8-0.019353-0.16540.434561
90.0007220.00620.497547
10-0.263192-2.24870.013774
11-0.172441-1.47330.07248
12-0.219869-1.87860.032149
13-0.280185-2.39390.00962
14-0.227431-1.94320.027926
15-0.188672-1.6120.055637
16-0.285934-2.4430.008492
17-0.177112-1.51320.067267
18-0.149778-1.27970.102351
19-0.211255-1.8050.037602
20-0.11802-1.00840.158306
21-0.068959-0.58920.278777
22-0.18926-1.6170.055092
230.0028440.02430.490341
24-0.137457-1.17440.12202
25-0.114481-0.97810.165622
26-0.015666-0.13380.446945
27-0.073061-0.62420.26721
28-0.077373-0.66110.255323
290.0552510.47210.319144
30-0.094837-0.81030.210203
310.0113830.09730.461393
320.070930.6060.27319
33-0.034539-0.29510.384377
340.0743490.63520.26363
350.0960870.8210.207169
360.0159310.13610.446053
370.0555850.47490.31813
380.0903010.77150.221441
39-0.04472-0.38210.351754
400.0579140.49480.311106
410.0225670.19280.42382
42-0.067159-0.57380.283932
43-0.010635-0.09090.463923
44-0.029419-0.25140.401121
45-0.170465-1.45650.074778
46-0.025257-0.21580.414874
47-0.066737-0.57020.285145
48-0.169781-1.45060.075586







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3830473.27280.000814
20.3820333.26410.000836
30.4692484.00937.3e-05
4-0.14588-1.24640.108302
5-0.305049-2.60630.005544
6-0.007962-0.0680.472975
7-0.223357-1.90840.030138
8-0.125597-1.07310.14338
90.0002820.00240.499043
10-0.07906-0.67550.250749
110.0268990.22980.409436
12-0.086311-0.73740.231608
130.1037130.88610.189229
140.0286460.24470.403669
150.0390570.33370.36978
16-0.117003-0.99970.160385
17-0.116808-0.9980.160786
180.0084080.07180.471462
19-0.076671-0.65510.257238
20-0.040107-0.34270.366413
210.0521750.44580.328537
22-0.137286-1.1730.122311
230.1150230.98280.164487
24-0.237838-2.03210.022892
250.0098220.08390.466676
260.0057520.04910.480468
270.0453340.38730.349817
280.0419850.35870.360421
29-0.007387-0.06310.474925
30-0.095485-0.81580.208627
310.0051710.04420.482439
32-0.026862-0.22950.409558
330.0514380.43950.330805
34-0.055741-0.47620.31766
350.0425510.36360.358621
36-0.102061-0.8720.19303
37-0.098704-0.84330.2009
38-0.016047-0.13710.445664
39-0.070875-0.60560.273343
400.0474090.40510.343307
41-0.014364-0.12270.451332
42-0.080084-0.68420.247995
430.010350.08840.464888
44-0.112768-0.96350.169241
45-0.069898-0.59720.276108
46-0.016804-0.14360.443117
470.1050190.89730.186259
48-0.066906-0.57160.28466

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.383047 & 3.2728 & 0.000814 \tabularnewline
2 & 0.382033 & 3.2641 & 0.000836 \tabularnewline
3 & 0.469248 & 4.0093 & 7.3e-05 \tabularnewline
4 & -0.14588 & -1.2464 & 0.108302 \tabularnewline
5 & -0.305049 & -2.6063 & 0.005544 \tabularnewline
6 & -0.007962 & -0.068 & 0.472975 \tabularnewline
7 & -0.223357 & -1.9084 & 0.030138 \tabularnewline
8 & -0.125597 & -1.0731 & 0.14338 \tabularnewline
9 & 0.000282 & 0.0024 & 0.499043 \tabularnewline
10 & -0.07906 & -0.6755 & 0.250749 \tabularnewline
11 & 0.026899 & 0.2298 & 0.409436 \tabularnewline
12 & -0.086311 & -0.7374 & 0.231608 \tabularnewline
13 & 0.103713 & 0.8861 & 0.189229 \tabularnewline
14 & 0.028646 & 0.2447 & 0.403669 \tabularnewline
15 & 0.039057 & 0.3337 & 0.36978 \tabularnewline
16 & -0.117003 & -0.9997 & 0.160385 \tabularnewline
17 & -0.116808 & -0.998 & 0.160786 \tabularnewline
18 & 0.008408 & 0.0718 & 0.471462 \tabularnewline
19 & -0.076671 & -0.6551 & 0.257238 \tabularnewline
20 & -0.040107 & -0.3427 & 0.366413 \tabularnewline
21 & 0.052175 & 0.4458 & 0.328537 \tabularnewline
22 & -0.137286 & -1.173 & 0.122311 \tabularnewline
23 & 0.115023 & 0.9828 & 0.164487 \tabularnewline
24 & -0.237838 & -2.0321 & 0.022892 \tabularnewline
25 & 0.009822 & 0.0839 & 0.466676 \tabularnewline
26 & 0.005752 & 0.0491 & 0.480468 \tabularnewline
27 & 0.045334 & 0.3873 & 0.349817 \tabularnewline
28 & 0.041985 & 0.3587 & 0.360421 \tabularnewline
29 & -0.007387 & -0.0631 & 0.474925 \tabularnewline
30 & -0.095485 & -0.8158 & 0.208627 \tabularnewline
31 & 0.005171 & 0.0442 & 0.482439 \tabularnewline
32 & -0.026862 & -0.2295 & 0.409558 \tabularnewline
33 & 0.051438 & 0.4395 & 0.330805 \tabularnewline
34 & -0.055741 & -0.4762 & 0.31766 \tabularnewline
35 & 0.042551 & 0.3636 & 0.358621 \tabularnewline
36 & -0.102061 & -0.872 & 0.19303 \tabularnewline
37 & -0.098704 & -0.8433 & 0.2009 \tabularnewline
38 & -0.016047 & -0.1371 & 0.445664 \tabularnewline
39 & -0.070875 & -0.6056 & 0.273343 \tabularnewline
40 & 0.047409 & 0.4051 & 0.343307 \tabularnewline
41 & -0.014364 & -0.1227 & 0.451332 \tabularnewline
42 & -0.080084 & -0.6842 & 0.247995 \tabularnewline
43 & 0.01035 & 0.0884 & 0.464888 \tabularnewline
44 & -0.112768 & -0.9635 & 0.169241 \tabularnewline
45 & -0.069898 & -0.5972 & 0.276108 \tabularnewline
46 & -0.016804 & -0.1436 & 0.443117 \tabularnewline
47 & 0.105019 & 0.8973 & 0.186259 \tabularnewline
48 & -0.066906 & -0.5716 & 0.28466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32903&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]0.383047[/C][C]3.2728[/C][C]0.000814[/C][/ROW]
[ROW][C]2[/C][C]0.382033[/C][C]3.2641[/C][C]0.000836[/C][/ROW]
[ROW][C]3[/C][C]0.469248[/C][C]4.0093[/C][C]7.3e-05[/C][/ROW]
[ROW][C]4[/C][C]-0.14588[/C][C]-1.2464[/C][C]0.108302[/C][/ROW]
[ROW][C]5[/C][C]-0.305049[/C][C]-2.6063[/C][C]0.005544[/C][/ROW]
[ROW][C]6[/C][C]-0.007962[/C][C]-0.068[/C][C]0.472975[/C][/ROW]
[ROW][C]7[/C][C]-0.223357[/C][C]-1.9084[/C][C]0.030138[/C][/ROW]
[ROW][C]8[/C][C]-0.125597[/C][C]-1.0731[/C][C]0.14338[/C][/ROW]
[ROW][C]9[/C][C]0.000282[/C][C]0.0024[/C][C]0.499043[/C][/ROW]
[ROW][C]10[/C][C]-0.07906[/C][C]-0.6755[/C][C]0.250749[/C][/ROW]
[ROW][C]11[/C][C]0.026899[/C][C]0.2298[/C][C]0.409436[/C][/ROW]
[ROW][C]12[/C][C]-0.086311[/C][C]-0.7374[/C][C]0.231608[/C][/ROW]
[ROW][C]13[/C][C]0.103713[/C][C]0.8861[/C][C]0.189229[/C][/ROW]
[ROW][C]14[/C][C]0.028646[/C][C]0.2447[/C][C]0.403669[/C][/ROW]
[ROW][C]15[/C][C]0.039057[/C][C]0.3337[/C][C]0.36978[/C][/ROW]
[ROW][C]16[/C][C]-0.117003[/C][C]-0.9997[/C][C]0.160385[/C][/ROW]
[ROW][C]17[/C][C]-0.116808[/C][C]-0.998[/C][C]0.160786[/C][/ROW]
[ROW][C]18[/C][C]0.008408[/C][C]0.0718[/C][C]0.471462[/C][/ROW]
[ROW][C]19[/C][C]-0.076671[/C][C]-0.6551[/C][C]0.257238[/C][/ROW]
[ROW][C]20[/C][C]-0.040107[/C][C]-0.3427[/C][C]0.366413[/C][/ROW]
[ROW][C]21[/C][C]0.052175[/C][C]0.4458[/C][C]0.328537[/C][/ROW]
[ROW][C]22[/C][C]-0.137286[/C][C]-1.173[/C][C]0.122311[/C][/ROW]
[ROW][C]23[/C][C]0.115023[/C][C]0.9828[/C][C]0.164487[/C][/ROW]
[ROW][C]24[/C][C]-0.237838[/C][C]-2.0321[/C][C]0.022892[/C][/ROW]
[ROW][C]25[/C][C]0.009822[/C][C]0.0839[/C][C]0.466676[/C][/ROW]
[ROW][C]26[/C][C]0.005752[/C][C]0.0491[/C][C]0.480468[/C][/ROW]
[ROW][C]27[/C][C]0.045334[/C][C]0.3873[/C][C]0.349817[/C][/ROW]
[ROW][C]28[/C][C]0.041985[/C][C]0.3587[/C][C]0.360421[/C][/ROW]
[ROW][C]29[/C][C]-0.007387[/C][C]-0.0631[/C][C]0.474925[/C][/ROW]
[ROW][C]30[/C][C]-0.095485[/C][C]-0.8158[/C][C]0.208627[/C][/ROW]
[ROW][C]31[/C][C]0.005171[/C][C]0.0442[/C][C]0.482439[/C][/ROW]
[ROW][C]32[/C][C]-0.026862[/C][C]-0.2295[/C][C]0.409558[/C][/ROW]
[ROW][C]33[/C][C]0.051438[/C][C]0.4395[/C][C]0.330805[/C][/ROW]
[ROW][C]34[/C][C]-0.055741[/C][C]-0.4762[/C][C]0.31766[/C][/ROW]
[ROW][C]35[/C][C]0.042551[/C][C]0.3636[/C][C]0.358621[/C][/ROW]
[ROW][C]36[/C][C]-0.102061[/C][C]-0.872[/C][C]0.19303[/C][/ROW]
[ROW][C]37[/C][C]-0.098704[/C][C]-0.8433[/C][C]0.2009[/C][/ROW]
[ROW][C]38[/C][C]-0.016047[/C][C]-0.1371[/C][C]0.445664[/C][/ROW]
[ROW][C]39[/C][C]-0.070875[/C][C]-0.6056[/C][C]0.273343[/C][/ROW]
[ROW][C]40[/C][C]0.047409[/C][C]0.4051[/C][C]0.343307[/C][/ROW]
[ROW][C]41[/C][C]-0.014364[/C][C]-0.1227[/C][C]0.451332[/C][/ROW]
[ROW][C]42[/C][C]-0.080084[/C][C]-0.6842[/C][C]0.247995[/C][/ROW]
[ROW][C]43[/C][C]0.01035[/C][C]0.0884[/C][C]0.464888[/C][/ROW]
[ROW][C]44[/C][C]-0.112768[/C][C]-0.9635[/C][C]0.169241[/C][/ROW]
[ROW][C]45[/C][C]-0.069898[/C][C]-0.5972[/C][C]0.276108[/C][/ROW]
[ROW][C]46[/C][C]-0.016804[/C][C]-0.1436[/C][C]0.443117[/C][/ROW]
[ROW][C]47[/C][C]0.105019[/C][C]0.8973[/C][C]0.186259[/C][/ROW]
[ROW][C]48[/C][C]-0.066906[/C][C]-0.5716[/C][C]0.28466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32903&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32903&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
10.3830473.27280.000814
20.3820333.26410.000836
30.4692484.00937.3e-05
4-0.14588-1.24640.108302
5-0.305049-2.60630.005544
6-0.007962-0.0680.472975
7-0.223357-1.90840.030138
8-0.125597-1.07310.14338
90.0002820.00240.499043
10-0.07906-0.67550.250749
110.0268990.22980.409436
12-0.086311-0.73740.231608
130.1037130.88610.189229
140.0286460.24470.403669
150.0390570.33370.36978
16-0.117003-0.99970.160385
17-0.116808-0.9980.160786
180.0084080.07180.471462
19-0.076671-0.65510.257238
20-0.040107-0.34270.366413
210.0521750.44580.328537
22-0.137286-1.1730.122311
230.1150230.98280.164487
24-0.237838-2.03210.022892
250.0098220.08390.466676
260.0057520.04910.480468
270.0453340.38730.349817
280.0419850.35870.360421
29-0.007387-0.06310.474925
30-0.095485-0.81580.208627
310.0051710.04420.482439
32-0.026862-0.22950.409558
330.0514380.43950.330805
34-0.055741-0.47620.31766
350.0425510.36360.358621
36-0.102061-0.8720.19303
37-0.098704-0.84330.2009
38-0.016047-0.13710.445664
39-0.070875-0.60560.273343
400.0474090.40510.343307
41-0.014364-0.12270.451332
42-0.080084-0.68420.247995
430.010350.08840.464888
44-0.112768-0.96350.169241
45-0.069898-0.59720.276108
46-0.016804-0.14360.443117
470.1050190.89730.186259
48-0.066906-0.57160.28466



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')