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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationSun, 20 Nov 2011 05:24:53 -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/20/t1321784839cr8z0p0a00gbium.htm/, Retrieved Thu, 28 Mar 2024 22:07:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145561, Retrieved Thu, 28 Mar 2024 22:07:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact139
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Prijs goud per gram] [2011-11-20 10:24:53] [aa823a344a22650d2ad0f207182fbcde] [Current]
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Dataseries X:
30,37
30,41
30,46
30,7
30,85
30,93
31
31,16
31,14
31,15
31,2
31,22
31,25
31,39
31,49
31,71
31,73
31,96
32,05
32,12
32,28
32,42
32,48
32,89
33,7
34,59
35,1
35,87
37,15
37,61
37,97
38,94
39,18
39,49
39,86
40,02
40,2
40,85
41,45
41,7
41,92
41,97
42,31
42,61
42,82
43,07
43,51
43,57
43,86
44,49
45,99
48,22
49,46
50,39
50,4
50,59
51,32
51,86
52,47
52,73
52,73
53,59
54,11
54,8
55,72
56,06
56,66
57,05
57,31
57,89
58,32
58,72
59,02
59,54
61,49
62,26
63,49
64,36
65,93
66,82
68,85
71,27
72,27
73,4




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=145561&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=145561&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145561&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
10.9572398.77320
20.9142348.37910
30.8710067.98290
40.8313317.61930
50.7944837.28160
60.7577766.94510
70.7228386.62490
80.6882416.30780
90.6548936.00220
100.6219055.69990
110.5920175.42590
120.5618855.14981e-06
130.5309734.86643e-06
140.4995654.57868e-06
150.4678064.28752.4e-05
160.4362833.99866.8e-05
170.4040883.70350.00019
180.3716983.40670.000506
190.3394093.11070.001275
200.306612.81010.00308
210.2747782.51840.006843
220.2433972.23080.014181
230.2118321.94150.027777
240.1810931.65970.050347
250.1496571.37160.086916
260.1182021.08330.140878
270.0872790.79990.213004
280.0570040.52250.301365
290.0283920.26020.397665
30-0.000684-0.00630.497505
31-0.030837-0.28260.389081
32-0.059022-0.54090.29499
33-0.085198-0.78090.218543
34-0.106822-0.9790.165185
35-0.125346-1.14880.126947
36-0.14299-1.31050.096796
37-0.160557-1.47150.072442
38-0.178001-1.63140.053274
39-0.194499-1.78260.039131
40-0.210831-1.93230.028346
41-0.227088-2.08130.020226
42-0.243267-2.22960.014222
43-0.258924-2.37310.009962
44-0.274907-2.51960.006822
45-0.290859-2.66580.004605
46-0.306652-2.81050.003077
47-0.321356-2.94530.002087
48-0.335274-3.07280.001429

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.957239 & 8.7732 & 0 \tabularnewline
2 & 0.914234 & 8.3791 & 0 \tabularnewline
3 & 0.871006 & 7.9829 & 0 \tabularnewline
4 & 0.831331 & 7.6193 & 0 \tabularnewline
5 & 0.794483 & 7.2816 & 0 \tabularnewline
6 & 0.757776 & 6.9451 & 0 \tabularnewline
7 & 0.722838 & 6.6249 & 0 \tabularnewline
8 & 0.688241 & 6.3078 & 0 \tabularnewline
9 & 0.654893 & 6.0022 & 0 \tabularnewline
10 & 0.621905 & 5.6999 & 0 \tabularnewline
11 & 0.592017 & 5.4259 & 0 \tabularnewline
12 & 0.561885 & 5.1498 & 1e-06 \tabularnewline
13 & 0.530973 & 4.8664 & 3e-06 \tabularnewline
14 & 0.499565 & 4.5786 & 8e-06 \tabularnewline
15 & 0.467806 & 4.2875 & 2.4e-05 \tabularnewline
16 & 0.436283 & 3.9986 & 6.8e-05 \tabularnewline
17 & 0.404088 & 3.7035 & 0.00019 \tabularnewline
18 & 0.371698 & 3.4067 & 0.000506 \tabularnewline
19 & 0.339409 & 3.1107 & 0.001275 \tabularnewline
20 & 0.30661 & 2.8101 & 0.00308 \tabularnewline
21 & 0.274778 & 2.5184 & 0.006843 \tabularnewline
22 & 0.243397 & 2.2308 & 0.014181 \tabularnewline
23 & 0.211832 & 1.9415 & 0.027777 \tabularnewline
24 & 0.181093 & 1.6597 & 0.050347 \tabularnewline
25 & 0.149657 & 1.3716 & 0.086916 \tabularnewline
26 & 0.118202 & 1.0833 & 0.140878 \tabularnewline
27 & 0.087279 & 0.7999 & 0.213004 \tabularnewline
28 & 0.057004 & 0.5225 & 0.301365 \tabularnewline
29 & 0.028392 & 0.2602 & 0.397665 \tabularnewline
30 & -0.000684 & -0.0063 & 0.497505 \tabularnewline
31 & -0.030837 & -0.2826 & 0.389081 \tabularnewline
32 & -0.059022 & -0.5409 & 0.29499 \tabularnewline
33 & -0.085198 & -0.7809 & 0.218543 \tabularnewline
34 & -0.106822 & -0.979 & 0.165185 \tabularnewline
35 & -0.125346 & -1.1488 & 0.126947 \tabularnewline
36 & -0.14299 & -1.3105 & 0.096796 \tabularnewline
37 & -0.160557 & -1.4715 & 0.072442 \tabularnewline
38 & -0.178001 & -1.6314 & 0.053274 \tabularnewline
39 & -0.194499 & -1.7826 & 0.039131 \tabularnewline
40 & -0.210831 & -1.9323 & 0.028346 \tabularnewline
41 & -0.227088 & -2.0813 & 0.020226 \tabularnewline
42 & -0.243267 & -2.2296 & 0.014222 \tabularnewline
43 & -0.258924 & -2.3731 & 0.009962 \tabularnewline
44 & -0.274907 & -2.5196 & 0.006822 \tabularnewline
45 & -0.290859 & -2.6658 & 0.004605 \tabularnewline
46 & -0.306652 & -2.8105 & 0.003077 \tabularnewline
47 & -0.321356 & -2.9453 & 0.002087 \tabularnewline
48 & -0.335274 & -3.0728 & 0.001429 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145561&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]0.957239[/C][C]8.7732[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.914234[/C][C]8.3791[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.871006[/C][C]7.9829[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.831331[/C][C]7.6193[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.794483[/C][C]7.2816[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.757776[/C][C]6.9451[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.722838[/C][C]6.6249[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.688241[/C][C]6.3078[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.654893[/C][C]6.0022[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.621905[/C][C]5.6999[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.592017[/C][C]5.4259[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.561885[/C][C]5.1498[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.530973[/C][C]4.8664[/C][C]3e-06[/C][/ROW]
[ROW][C]14[/C][C]0.499565[/C][C]4.5786[/C][C]8e-06[/C][/ROW]
[ROW][C]15[/C][C]0.467806[/C][C]4.2875[/C][C]2.4e-05[/C][/ROW]
[ROW][C]16[/C][C]0.436283[/C][C]3.9986[/C][C]6.8e-05[/C][/ROW]
[ROW][C]17[/C][C]0.404088[/C][C]3.7035[/C][C]0.00019[/C][/ROW]
[ROW][C]18[/C][C]0.371698[/C][C]3.4067[/C][C]0.000506[/C][/ROW]
[ROW][C]19[/C][C]0.339409[/C][C]3.1107[/C][C]0.001275[/C][/ROW]
[ROW][C]20[/C][C]0.30661[/C][C]2.8101[/C][C]0.00308[/C][/ROW]
[ROW][C]21[/C][C]0.274778[/C][C]2.5184[/C][C]0.006843[/C][/ROW]
[ROW][C]22[/C][C]0.243397[/C][C]2.2308[/C][C]0.014181[/C][/ROW]
[ROW][C]23[/C][C]0.211832[/C][C]1.9415[/C][C]0.027777[/C][/ROW]
[ROW][C]24[/C][C]0.181093[/C][C]1.6597[/C][C]0.050347[/C][/ROW]
[ROW][C]25[/C][C]0.149657[/C][C]1.3716[/C][C]0.086916[/C][/ROW]
[ROW][C]26[/C][C]0.118202[/C][C]1.0833[/C][C]0.140878[/C][/ROW]
[ROW][C]27[/C][C]0.087279[/C][C]0.7999[/C][C]0.213004[/C][/ROW]
[ROW][C]28[/C][C]0.057004[/C][C]0.5225[/C][C]0.301365[/C][/ROW]
[ROW][C]29[/C][C]0.028392[/C][C]0.2602[/C][C]0.397665[/C][/ROW]
[ROW][C]30[/C][C]-0.000684[/C][C]-0.0063[/C][C]0.497505[/C][/ROW]
[ROW][C]31[/C][C]-0.030837[/C][C]-0.2826[/C][C]0.389081[/C][/ROW]
[ROW][C]32[/C][C]-0.059022[/C][C]-0.5409[/C][C]0.29499[/C][/ROW]
[ROW][C]33[/C][C]-0.085198[/C][C]-0.7809[/C][C]0.218543[/C][/ROW]
[ROW][C]34[/C][C]-0.106822[/C][C]-0.979[/C][C]0.165185[/C][/ROW]
[ROW][C]35[/C][C]-0.125346[/C][C]-1.1488[/C][C]0.126947[/C][/ROW]
[ROW][C]36[/C][C]-0.14299[/C][C]-1.3105[/C][C]0.096796[/C][/ROW]
[ROW][C]37[/C][C]-0.160557[/C][C]-1.4715[/C][C]0.072442[/C][/ROW]
[ROW][C]38[/C][C]-0.178001[/C][C]-1.6314[/C][C]0.053274[/C][/ROW]
[ROW][C]39[/C][C]-0.194499[/C][C]-1.7826[/C][C]0.039131[/C][/ROW]
[ROW][C]40[/C][C]-0.210831[/C][C]-1.9323[/C][C]0.028346[/C][/ROW]
[ROW][C]41[/C][C]-0.227088[/C][C]-2.0813[/C][C]0.020226[/C][/ROW]
[ROW][C]42[/C][C]-0.243267[/C][C]-2.2296[/C][C]0.014222[/C][/ROW]
[ROW][C]43[/C][C]-0.258924[/C][C]-2.3731[/C][C]0.009962[/C][/ROW]
[ROW][C]44[/C][C]-0.274907[/C][C]-2.5196[/C][C]0.006822[/C][/ROW]
[ROW][C]45[/C][C]-0.290859[/C][C]-2.6658[/C][C]0.004605[/C][/ROW]
[ROW][C]46[/C][C]-0.306652[/C][C]-2.8105[/C][C]0.003077[/C][/ROW]
[ROW][C]47[/C][C]-0.321356[/C][C]-2.9453[/C][C]0.002087[/C][/ROW]
[ROW][C]48[/C][C]-0.335274[/C][C]-3.0728[/C][C]0.001429[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145561&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145561&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
10.9572398.77320
20.9142348.37910
30.8710067.98290
40.8313317.61930
50.7944837.28160
60.7577766.94510
70.7228386.62490
80.6882416.30780
90.6548936.00220
100.6219055.69990
110.5920175.42590
120.5618855.14981e-06
130.5309734.86643e-06
140.4995654.57868e-06
150.4678064.28752.4e-05
160.4362833.99866.8e-05
170.4040883.70350.00019
180.3716983.40670.000506
190.3394093.11070.001275
200.306612.81010.00308
210.2747782.51840.006843
220.2433972.23080.014181
230.2118321.94150.027777
240.1810931.65970.050347
250.1496571.37160.086916
260.1182021.08330.140878
270.0872790.79990.213004
280.0570040.52250.301365
290.0283920.26020.397665
30-0.000684-0.00630.497505
31-0.030837-0.28260.389081
32-0.059022-0.54090.29499
33-0.085198-0.78090.218543
34-0.106822-0.9790.165185
35-0.125346-1.14880.126947
36-0.14299-1.31050.096796
37-0.160557-1.47150.072442
38-0.178001-1.63140.053274
39-0.194499-1.78260.039131
40-0.210831-1.93230.028346
41-0.227088-2.08130.020226
42-0.243267-2.22960.014222
43-0.258924-2.37310.009962
44-0.274907-2.51960.006822
45-0.290859-2.66580.004605
46-0.306652-2.81050.003077
47-0.321356-2.94530.002087
48-0.335274-3.07280.001429







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9572398.77320
2-0.024772-0.2270.410474
3-0.025116-0.23020.409251
40.0194140.17790.429604
50.0118760.10880.456794
6-0.019465-0.17840.429418
70.0016250.01490.494075
8-0.013843-0.12690.449673
9-0.004721-0.04330.482795
10-0.014353-0.13150.44783
110.018230.16710.433853
12-0.020852-0.19110.424449
13-0.027496-0.2520.400827
14-0.022769-0.20870.417601
15-0.022305-0.20440.419257
16-0.019244-0.17640.430212
17-0.029157-0.26720.394974
18-0.025315-0.2320.408545
19-0.021596-0.19790.421788
20-0.03068-0.28120.38963
21-0.013093-0.120.452386
22-0.019981-0.18310.427568
23-0.029199-0.26760.394825
24-0.016175-0.14820.441252
25-0.033943-0.31110.37825
26-0.027806-0.25480.399731
27-0.021311-0.19530.422808
28-0.02095-0.1920.4241
29-0.009164-0.0840.466632
30-0.033776-0.30960.37883
31-0.041312-0.37860.352959
32-0.004908-0.0450.482114
33-0.005897-0.0540.478514
340.0244030.22370.411784
350.0112510.10310.45906
36-0.011928-0.10930.456604
37-0.018594-0.17040.432544
38-0.016707-0.15310.439335
39-0.008836-0.0810.467826
40-0.020619-0.1890.425283
41-0.023027-0.2110.41668
42-0.019972-0.1830.427602
43-0.016635-0.15250.439595
44-0.026487-0.24280.404394
45-0.025175-0.23070.409043
46-0.026558-0.24340.404142
47-0.016065-0.14720.441649
48-0.020779-0.19040.42471

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.957239 & 8.7732 & 0 \tabularnewline
2 & -0.024772 & -0.227 & 0.410474 \tabularnewline
3 & -0.025116 & -0.2302 & 0.409251 \tabularnewline
4 & 0.019414 & 0.1779 & 0.429604 \tabularnewline
5 & 0.011876 & 0.1088 & 0.456794 \tabularnewline
6 & -0.019465 & -0.1784 & 0.429418 \tabularnewline
7 & 0.001625 & 0.0149 & 0.494075 \tabularnewline
8 & -0.013843 & -0.1269 & 0.449673 \tabularnewline
9 & -0.004721 & -0.0433 & 0.482795 \tabularnewline
10 & -0.014353 & -0.1315 & 0.44783 \tabularnewline
11 & 0.01823 & 0.1671 & 0.433853 \tabularnewline
12 & -0.020852 & -0.1911 & 0.424449 \tabularnewline
13 & -0.027496 & -0.252 & 0.400827 \tabularnewline
14 & -0.022769 & -0.2087 & 0.417601 \tabularnewline
15 & -0.022305 & -0.2044 & 0.419257 \tabularnewline
16 & -0.019244 & -0.1764 & 0.430212 \tabularnewline
17 & -0.029157 & -0.2672 & 0.394974 \tabularnewline
18 & -0.025315 & -0.232 & 0.408545 \tabularnewline
19 & -0.021596 & -0.1979 & 0.421788 \tabularnewline
20 & -0.03068 & -0.2812 & 0.38963 \tabularnewline
21 & -0.013093 & -0.12 & 0.452386 \tabularnewline
22 & -0.019981 & -0.1831 & 0.427568 \tabularnewline
23 & -0.029199 & -0.2676 & 0.394825 \tabularnewline
24 & -0.016175 & -0.1482 & 0.441252 \tabularnewline
25 & -0.033943 & -0.3111 & 0.37825 \tabularnewline
26 & -0.027806 & -0.2548 & 0.399731 \tabularnewline
27 & -0.021311 & -0.1953 & 0.422808 \tabularnewline
28 & -0.02095 & -0.192 & 0.4241 \tabularnewline
29 & -0.009164 & -0.084 & 0.466632 \tabularnewline
30 & -0.033776 & -0.3096 & 0.37883 \tabularnewline
31 & -0.041312 & -0.3786 & 0.352959 \tabularnewline
32 & -0.004908 & -0.045 & 0.482114 \tabularnewline
33 & -0.005897 & -0.054 & 0.478514 \tabularnewline
34 & 0.024403 & 0.2237 & 0.411784 \tabularnewline
35 & 0.011251 & 0.1031 & 0.45906 \tabularnewline
36 & -0.011928 & -0.1093 & 0.456604 \tabularnewline
37 & -0.018594 & -0.1704 & 0.432544 \tabularnewline
38 & -0.016707 & -0.1531 & 0.439335 \tabularnewline
39 & -0.008836 & -0.081 & 0.467826 \tabularnewline
40 & -0.020619 & -0.189 & 0.425283 \tabularnewline
41 & -0.023027 & -0.211 & 0.41668 \tabularnewline
42 & -0.019972 & -0.183 & 0.427602 \tabularnewline
43 & -0.016635 & -0.1525 & 0.439595 \tabularnewline
44 & -0.026487 & -0.2428 & 0.404394 \tabularnewline
45 & -0.025175 & -0.2307 & 0.409043 \tabularnewline
46 & -0.026558 & -0.2434 & 0.404142 \tabularnewline
47 & -0.016065 & -0.1472 & 0.441649 \tabularnewline
48 & -0.020779 & -0.1904 & 0.42471 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145561&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]0.957239[/C][C]8.7732[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.024772[/C][C]-0.227[/C][C]0.410474[/C][/ROW]
[ROW][C]3[/C][C]-0.025116[/C][C]-0.2302[/C][C]0.409251[/C][/ROW]
[ROW][C]4[/C][C]0.019414[/C][C]0.1779[/C][C]0.429604[/C][/ROW]
[ROW][C]5[/C][C]0.011876[/C][C]0.1088[/C][C]0.456794[/C][/ROW]
[ROW][C]6[/C][C]-0.019465[/C][C]-0.1784[/C][C]0.429418[/C][/ROW]
[ROW][C]7[/C][C]0.001625[/C][C]0.0149[/C][C]0.494075[/C][/ROW]
[ROW][C]8[/C][C]-0.013843[/C][C]-0.1269[/C][C]0.449673[/C][/ROW]
[ROW][C]9[/C][C]-0.004721[/C][C]-0.0433[/C][C]0.482795[/C][/ROW]
[ROW][C]10[/C][C]-0.014353[/C][C]-0.1315[/C][C]0.44783[/C][/ROW]
[ROW][C]11[/C][C]0.01823[/C][C]0.1671[/C][C]0.433853[/C][/ROW]
[ROW][C]12[/C][C]-0.020852[/C][C]-0.1911[/C][C]0.424449[/C][/ROW]
[ROW][C]13[/C][C]-0.027496[/C][C]-0.252[/C][C]0.400827[/C][/ROW]
[ROW][C]14[/C][C]-0.022769[/C][C]-0.2087[/C][C]0.417601[/C][/ROW]
[ROW][C]15[/C][C]-0.022305[/C][C]-0.2044[/C][C]0.419257[/C][/ROW]
[ROW][C]16[/C][C]-0.019244[/C][C]-0.1764[/C][C]0.430212[/C][/ROW]
[ROW][C]17[/C][C]-0.029157[/C][C]-0.2672[/C][C]0.394974[/C][/ROW]
[ROW][C]18[/C][C]-0.025315[/C][C]-0.232[/C][C]0.408545[/C][/ROW]
[ROW][C]19[/C][C]-0.021596[/C][C]-0.1979[/C][C]0.421788[/C][/ROW]
[ROW][C]20[/C][C]-0.03068[/C][C]-0.2812[/C][C]0.38963[/C][/ROW]
[ROW][C]21[/C][C]-0.013093[/C][C]-0.12[/C][C]0.452386[/C][/ROW]
[ROW][C]22[/C][C]-0.019981[/C][C]-0.1831[/C][C]0.427568[/C][/ROW]
[ROW][C]23[/C][C]-0.029199[/C][C]-0.2676[/C][C]0.394825[/C][/ROW]
[ROW][C]24[/C][C]-0.016175[/C][C]-0.1482[/C][C]0.441252[/C][/ROW]
[ROW][C]25[/C][C]-0.033943[/C][C]-0.3111[/C][C]0.37825[/C][/ROW]
[ROW][C]26[/C][C]-0.027806[/C][C]-0.2548[/C][C]0.399731[/C][/ROW]
[ROW][C]27[/C][C]-0.021311[/C][C]-0.1953[/C][C]0.422808[/C][/ROW]
[ROW][C]28[/C][C]-0.02095[/C][C]-0.192[/C][C]0.4241[/C][/ROW]
[ROW][C]29[/C][C]-0.009164[/C][C]-0.084[/C][C]0.466632[/C][/ROW]
[ROW][C]30[/C][C]-0.033776[/C][C]-0.3096[/C][C]0.37883[/C][/ROW]
[ROW][C]31[/C][C]-0.041312[/C][C]-0.3786[/C][C]0.352959[/C][/ROW]
[ROW][C]32[/C][C]-0.004908[/C][C]-0.045[/C][C]0.482114[/C][/ROW]
[ROW][C]33[/C][C]-0.005897[/C][C]-0.054[/C][C]0.478514[/C][/ROW]
[ROW][C]34[/C][C]0.024403[/C][C]0.2237[/C][C]0.411784[/C][/ROW]
[ROW][C]35[/C][C]0.011251[/C][C]0.1031[/C][C]0.45906[/C][/ROW]
[ROW][C]36[/C][C]-0.011928[/C][C]-0.1093[/C][C]0.456604[/C][/ROW]
[ROW][C]37[/C][C]-0.018594[/C][C]-0.1704[/C][C]0.432544[/C][/ROW]
[ROW][C]38[/C][C]-0.016707[/C][C]-0.1531[/C][C]0.439335[/C][/ROW]
[ROW][C]39[/C][C]-0.008836[/C][C]-0.081[/C][C]0.467826[/C][/ROW]
[ROW][C]40[/C][C]-0.020619[/C][C]-0.189[/C][C]0.425283[/C][/ROW]
[ROW][C]41[/C][C]-0.023027[/C][C]-0.211[/C][C]0.41668[/C][/ROW]
[ROW][C]42[/C][C]-0.019972[/C][C]-0.183[/C][C]0.427602[/C][/ROW]
[ROW][C]43[/C][C]-0.016635[/C][C]-0.1525[/C][C]0.439595[/C][/ROW]
[ROW][C]44[/C][C]-0.026487[/C][C]-0.2428[/C][C]0.404394[/C][/ROW]
[ROW][C]45[/C][C]-0.025175[/C][C]-0.2307[/C][C]0.409043[/C][/ROW]
[ROW][C]46[/C][C]-0.026558[/C][C]-0.2434[/C][C]0.404142[/C][/ROW]
[ROW][C]47[/C][C]-0.016065[/C][C]-0.1472[/C][C]0.441649[/C][/ROW]
[ROW][C]48[/C][C]-0.020779[/C][C]-0.1904[/C][C]0.42471[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145561&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145561&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
10.9572398.77320
2-0.024772-0.2270.410474
3-0.025116-0.23020.409251
40.0194140.17790.429604
50.0118760.10880.456794
6-0.019465-0.17840.429418
70.0016250.01490.494075
8-0.013843-0.12690.449673
9-0.004721-0.04330.482795
10-0.014353-0.13150.44783
110.018230.16710.433853
12-0.020852-0.19110.424449
13-0.027496-0.2520.400827
14-0.022769-0.20870.417601
15-0.022305-0.20440.419257
16-0.019244-0.17640.430212
17-0.029157-0.26720.394974
18-0.025315-0.2320.408545
19-0.021596-0.19790.421788
20-0.03068-0.28120.38963
21-0.013093-0.120.452386
22-0.019981-0.18310.427568
23-0.029199-0.26760.394825
24-0.016175-0.14820.441252
25-0.033943-0.31110.37825
26-0.027806-0.25480.399731
27-0.021311-0.19530.422808
28-0.02095-0.1920.4241
29-0.009164-0.0840.466632
30-0.033776-0.30960.37883
31-0.041312-0.37860.352959
32-0.004908-0.0450.482114
33-0.005897-0.0540.478514
340.0244030.22370.411784
350.0112510.10310.45906
36-0.011928-0.10930.456604
37-0.018594-0.17040.432544
38-0.016707-0.15310.439335
39-0.008836-0.0810.467826
40-0.020619-0.1890.425283
41-0.023027-0.2110.41668
42-0.019972-0.1830.427602
43-0.016635-0.15250.439595
44-0.026487-0.24280.404394
45-0.025175-0.23070.409043
46-0.026558-0.24340.404142
47-0.016065-0.14720.441649
48-0.020779-0.19040.42471



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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')