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 computationThu, 14 May 2009 05:47:59 -0600
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/May/14/t1242301709n2x4lhsxs2uh2f7.htm/, Retrieved Mon, 29 Apr 2024 05:49:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39979, Retrieved Mon, 29 Apr 2024 05:49:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelation 6...] [2009-05-14 11:47:59] [8c726525c89fb87c09aaacaddee1db18] [Current]
Feedback Forum

Post a new message
Dataseries X:
104.9
110.9
104.8
94.1
95.8
99.3
101.1
104.0
99.0
105.4
107.1
110.7
117.1
118.7
126.5
127.5
134.6
131.8
135.9
142.7
141.7
153.4
145.0
137.7
148.3
152.2
169.4
168.6
161.1
174.1
179.0
190.6
190.0
181.6
174.8
180.5
196.8
193.8
197.0
216.3
221.4
217.9
229.7
227.4
204.2
196.6
198.8
207.5
190.7
201.6
210.5
223.5
223.8
231.2
244.0
234.7
250.2
265.7
287.6
283.3
295.4
312.3
333.8
347.7
383.2
407.1
413.6
362.7
321.9
239.4
191.0
159.7
166.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39979&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39979&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39979&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9637868.23460
20.8976517.66950
30.8119466.93730
40.7221546.17010
50.6389965.45960
60.5701214.87113e-06
70.5152084.40191.8e-05
80.4658373.98018e-05
90.4182773.57380.000314
100.377293.22360.000947
110.337652.88490.002572
120.2991432.55590.006337
130.2645252.26010.013399
140.2362622.01860.0236
150.211211.80460.037632
160.1841711.57360.059957
170.1617561.3820.085586
180.1427661.21980.113234
190.129581.10710.135936
200.1200121.02540.154285
210.113320.96820.168068
220.1075320.91880.180626
230.0961450.82150.207028
240.0779860.66630.253657
250.0575590.49180.312174
260.0306220.26160.397171
270.0006790.00580.497694
28-0.030625-0.26170.397161
29-0.060775-0.51930.302575
30-0.084006-0.71770.237601
31-0.103534-0.88460.18964
32-0.117538-1.00420.159289
33-0.129511-1.10650.136063
34-0.142884-1.22080.113045
35-0.158811-1.35690.0895
36-0.176537-1.50830.067892
37-0.192696-1.64640.05199
38-0.212002-1.81130.037101
39-0.22975-1.9630.026729
40-0.241626-2.06450.021264
41-0.250746-2.14240.017749
42-0.259759-2.21940.014784
43-0.266478-2.27680.012866
44-0.270622-2.31220.011795
45-0.279029-2.3840.009863
46-0.288387-2.4640.008048
47-0.298561-2.55090.00642
48-0.309573-2.6450.004998

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.963786 & 8.2346 & 0 \tabularnewline
2 & 0.897651 & 7.6695 & 0 \tabularnewline
3 & 0.811946 & 6.9373 & 0 \tabularnewline
4 & 0.722154 & 6.1701 & 0 \tabularnewline
5 & 0.638996 & 5.4596 & 0 \tabularnewline
6 & 0.570121 & 4.8711 & 3e-06 \tabularnewline
7 & 0.515208 & 4.4019 & 1.8e-05 \tabularnewline
8 & 0.465837 & 3.9801 & 8e-05 \tabularnewline
9 & 0.418277 & 3.5738 & 0.000314 \tabularnewline
10 & 0.37729 & 3.2236 & 0.000947 \tabularnewline
11 & 0.33765 & 2.8849 & 0.002572 \tabularnewline
12 & 0.299143 & 2.5559 & 0.006337 \tabularnewline
13 & 0.264525 & 2.2601 & 0.013399 \tabularnewline
14 & 0.236262 & 2.0186 & 0.0236 \tabularnewline
15 & 0.21121 & 1.8046 & 0.037632 \tabularnewline
16 & 0.184171 & 1.5736 & 0.059957 \tabularnewline
17 & 0.161756 & 1.382 & 0.085586 \tabularnewline
18 & 0.142766 & 1.2198 & 0.113234 \tabularnewline
19 & 0.12958 & 1.1071 & 0.135936 \tabularnewline
20 & 0.120012 & 1.0254 & 0.154285 \tabularnewline
21 & 0.11332 & 0.9682 & 0.168068 \tabularnewline
22 & 0.107532 & 0.9188 & 0.180626 \tabularnewline
23 & 0.096145 & 0.8215 & 0.207028 \tabularnewline
24 & 0.077986 & 0.6663 & 0.253657 \tabularnewline
25 & 0.057559 & 0.4918 & 0.312174 \tabularnewline
26 & 0.030622 & 0.2616 & 0.397171 \tabularnewline
27 & 0.000679 & 0.0058 & 0.497694 \tabularnewline
28 & -0.030625 & -0.2617 & 0.397161 \tabularnewline
29 & -0.060775 & -0.5193 & 0.302575 \tabularnewline
30 & -0.084006 & -0.7177 & 0.237601 \tabularnewline
31 & -0.103534 & -0.8846 & 0.18964 \tabularnewline
32 & -0.117538 & -1.0042 & 0.159289 \tabularnewline
33 & -0.129511 & -1.1065 & 0.136063 \tabularnewline
34 & -0.142884 & -1.2208 & 0.113045 \tabularnewline
35 & -0.158811 & -1.3569 & 0.0895 \tabularnewline
36 & -0.176537 & -1.5083 & 0.067892 \tabularnewline
37 & -0.192696 & -1.6464 & 0.05199 \tabularnewline
38 & -0.212002 & -1.8113 & 0.037101 \tabularnewline
39 & -0.22975 & -1.963 & 0.026729 \tabularnewline
40 & -0.241626 & -2.0645 & 0.021264 \tabularnewline
41 & -0.250746 & -2.1424 & 0.017749 \tabularnewline
42 & -0.259759 & -2.2194 & 0.014784 \tabularnewline
43 & -0.266478 & -2.2768 & 0.012866 \tabularnewline
44 & -0.270622 & -2.3122 & 0.011795 \tabularnewline
45 & -0.279029 & -2.384 & 0.009863 \tabularnewline
46 & -0.288387 & -2.464 & 0.008048 \tabularnewline
47 & -0.298561 & -2.5509 & 0.00642 \tabularnewline
48 & -0.309573 & -2.645 & 0.004998 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39979&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]0.963786[/C][C]8.2346[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.897651[/C][C]7.6695[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.811946[/C][C]6.9373[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.722154[/C][C]6.1701[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.638996[/C][C]5.4596[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.570121[/C][C]4.8711[/C][C]3e-06[/C][/ROW]
[ROW][C]7[/C][C]0.515208[/C][C]4.4019[/C][C]1.8e-05[/C][/ROW]
[ROW][C]8[/C][C]0.465837[/C][C]3.9801[/C][C]8e-05[/C][/ROW]
[ROW][C]9[/C][C]0.418277[/C][C]3.5738[/C][C]0.000314[/C][/ROW]
[ROW][C]10[/C][C]0.37729[/C][C]3.2236[/C][C]0.000947[/C][/ROW]
[ROW][C]11[/C][C]0.33765[/C][C]2.8849[/C][C]0.002572[/C][/ROW]
[ROW][C]12[/C][C]0.299143[/C][C]2.5559[/C][C]0.006337[/C][/ROW]
[ROW][C]13[/C][C]0.264525[/C][C]2.2601[/C][C]0.013399[/C][/ROW]
[ROW][C]14[/C][C]0.236262[/C][C]2.0186[/C][C]0.0236[/C][/ROW]
[ROW][C]15[/C][C]0.21121[/C][C]1.8046[/C][C]0.037632[/C][/ROW]
[ROW][C]16[/C][C]0.184171[/C][C]1.5736[/C][C]0.059957[/C][/ROW]
[ROW][C]17[/C][C]0.161756[/C][C]1.382[/C][C]0.085586[/C][/ROW]
[ROW][C]18[/C][C]0.142766[/C][C]1.2198[/C][C]0.113234[/C][/ROW]
[ROW][C]19[/C][C]0.12958[/C][C]1.1071[/C][C]0.135936[/C][/ROW]
[ROW][C]20[/C][C]0.120012[/C][C]1.0254[/C][C]0.154285[/C][/ROW]
[ROW][C]21[/C][C]0.11332[/C][C]0.9682[/C][C]0.168068[/C][/ROW]
[ROW][C]22[/C][C]0.107532[/C][C]0.9188[/C][C]0.180626[/C][/ROW]
[ROW][C]23[/C][C]0.096145[/C][C]0.8215[/C][C]0.207028[/C][/ROW]
[ROW][C]24[/C][C]0.077986[/C][C]0.6663[/C][C]0.253657[/C][/ROW]
[ROW][C]25[/C][C]0.057559[/C][C]0.4918[/C][C]0.312174[/C][/ROW]
[ROW][C]26[/C][C]0.030622[/C][C]0.2616[/C][C]0.397171[/C][/ROW]
[ROW][C]27[/C][C]0.000679[/C][C]0.0058[/C][C]0.497694[/C][/ROW]
[ROW][C]28[/C][C]-0.030625[/C][C]-0.2617[/C][C]0.397161[/C][/ROW]
[ROW][C]29[/C][C]-0.060775[/C][C]-0.5193[/C][C]0.302575[/C][/ROW]
[ROW][C]30[/C][C]-0.084006[/C][C]-0.7177[/C][C]0.237601[/C][/ROW]
[ROW][C]31[/C][C]-0.103534[/C][C]-0.8846[/C][C]0.18964[/C][/ROW]
[ROW][C]32[/C][C]-0.117538[/C][C]-1.0042[/C][C]0.159289[/C][/ROW]
[ROW][C]33[/C][C]-0.129511[/C][C]-1.1065[/C][C]0.136063[/C][/ROW]
[ROW][C]34[/C][C]-0.142884[/C][C]-1.2208[/C][C]0.113045[/C][/ROW]
[ROW][C]35[/C][C]-0.158811[/C][C]-1.3569[/C][C]0.0895[/C][/ROW]
[ROW][C]36[/C][C]-0.176537[/C][C]-1.5083[/C][C]0.067892[/C][/ROW]
[ROW][C]37[/C][C]-0.192696[/C][C]-1.6464[/C][C]0.05199[/C][/ROW]
[ROW][C]38[/C][C]-0.212002[/C][C]-1.8113[/C][C]0.037101[/C][/ROW]
[ROW][C]39[/C][C]-0.22975[/C][C]-1.963[/C][C]0.026729[/C][/ROW]
[ROW][C]40[/C][C]-0.241626[/C][C]-2.0645[/C][C]0.021264[/C][/ROW]
[ROW][C]41[/C][C]-0.250746[/C][C]-2.1424[/C][C]0.017749[/C][/ROW]
[ROW][C]42[/C][C]-0.259759[/C][C]-2.2194[/C][C]0.014784[/C][/ROW]
[ROW][C]43[/C][C]-0.266478[/C][C]-2.2768[/C][C]0.012866[/C][/ROW]
[ROW][C]44[/C][C]-0.270622[/C][C]-2.3122[/C][C]0.011795[/C][/ROW]
[ROW][C]45[/C][C]-0.279029[/C][C]-2.384[/C][C]0.009863[/C][/ROW]
[ROW][C]46[/C][C]-0.288387[/C][C]-2.464[/C][C]0.008048[/C][/ROW]
[ROW][C]47[/C][C]-0.298561[/C][C]-2.5509[/C][C]0.00642[/C][/ROW]
[ROW][C]48[/C][C]-0.309573[/C][C]-2.645[/C][C]0.004998[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39979&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39979&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
10.9637868.23460
20.8976517.66950
30.8119466.93730
40.7221546.17010
50.6389965.45960
60.5701214.87113e-06
70.5152084.40191.8e-05
80.4658373.98018e-05
90.4182773.57380.000314
100.377293.22360.000947
110.337652.88490.002572
120.2991432.55590.006337
130.2645252.26010.013399
140.2362622.01860.0236
150.211211.80460.037632
160.1841711.57360.059957
170.1617561.3820.085586
180.1427661.21980.113234
190.129581.10710.135936
200.1200121.02540.154285
210.113320.96820.168068
220.1075320.91880.180626
230.0961450.82150.207028
240.0779860.66630.253657
250.0575590.49180.312174
260.0306220.26160.397171
270.0006790.00580.497694
28-0.030625-0.26170.397161
29-0.060775-0.51930.302575
30-0.084006-0.71770.237601
31-0.103534-0.88460.18964
32-0.117538-1.00420.159289
33-0.129511-1.10650.136063
34-0.142884-1.22080.113045
35-0.158811-1.35690.0895
36-0.176537-1.50830.067892
37-0.192696-1.64640.05199
38-0.212002-1.81130.037101
39-0.22975-1.9630.026729
40-0.241626-2.06450.021264
41-0.250746-2.14240.017749
42-0.259759-2.21940.014784
43-0.266478-2.27680.012866
44-0.270622-2.31220.011795
45-0.279029-2.3840.009863
46-0.288387-2.4640.008048
47-0.298561-2.55090.00642
48-0.309573-2.6450.004998







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9637868.23460
2-0.439166-3.75220.000174
3-0.172076-1.47020.0729
40.0559740.47820.316954
50.090720.77510.220389
60.091940.78550.217341
70.0056290.04810.480886
8-0.125738-1.07430.143112
9-0.055142-0.47110.319474
100.1281681.09510.138543
11-0.034504-0.29480.38449
12-0.043392-0.37070.355952
130.0219350.18740.425928
140.0404270.34540.365391
15-0.027746-0.23710.406635
16-0.093152-0.79590.214338
170.0841380.71890.237256
180.0239310.20450.419277
190.0648850.55440.290507
20-0.035938-0.30710.379839
21-0.05075-0.43360.332927
22-0.003233-0.02760.48902
23-0.055255-0.47210.319132
24-0.048589-0.41510.339626
250.0279690.2390.405901
26-0.087002-0.74330.229828
27-0.027496-0.23490.407462
28-0.019863-0.16970.432852
29-0.031455-0.26880.39444
300.0953210.81440.209027
31-0.029043-0.24810.402359
32-0.034545-0.29520.384359
33-0.050019-0.42740.335186
34-0.046652-0.39860.345677
35-0.019389-0.16570.434442
36-0.00238-0.02030.491915
370.0253180.21630.414671
38-0.116578-0.9960.161259
390.0160930.13750.445509
400.0543520.46440.321876
41-0.04859-0.41520.339623
42-0.087498-0.74760.228556
430.0424260.36250.359019
440.0060430.05160.479483
45-0.141289-1.20720.11563
460.0440230.37610.353956
47-0.061681-0.5270.299894
48-0.015546-0.13280.44735

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.963786 & 8.2346 & 0 \tabularnewline
2 & -0.439166 & -3.7522 & 0.000174 \tabularnewline
3 & -0.172076 & -1.4702 & 0.0729 \tabularnewline
4 & 0.055974 & 0.4782 & 0.316954 \tabularnewline
5 & 0.09072 & 0.7751 & 0.220389 \tabularnewline
6 & 0.09194 & 0.7855 & 0.217341 \tabularnewline
7 & 0.005629 & 0.0481 & 0.480886 \tabularnewline
8 & -0.125738 & -1.0743 & 0.143112 \tabularnewline
9 & -0.055142 & -0.4711 & 0.319474 \tabularnewline
10 & 0.128168 & 1.0951 & 0.138543 \tabularnewline
11 & -0.034504 & -0.2948 & 0.38449 \tabularnewline
12 & -0.043392 & -0.3707 & 0.355952 \tabularnewline
13 & 0.021935 & 0.1874 & 0.425928 \tabularnewline
14 & 0.040427 & 0.3454 & 0.365391 \tabularnewline
15 & -0.027746 & -0.2371 & 0.406635 \tabularnewline
16 & -0.093152 & -0.7959 & 0.214338 \tabularnewline
17 & 0.084138 & 0.7189 & 0.237256 \tabularnewline
18 & 0.023931 & 0.2045 & 0.419277 \tabularnewline
19 & 0.064885 & 0.5544 & 0.290507 \tabularnewline
20 & -0.035938 & -0.3071 & 0.379839 \tabularnewline
21 & -0.05075 & -0.4336 & 0.332927 \tabularnewline
22 & -0.003233 & -0.0276 & 0.48902 \tabularnewline
23 & -0.055255 & -0.4721 & 0.319132 \tabularnewline
24 & -0.048589 & -0.4151 & 0.339626 \tabularnewline
25 & 0.027969 & 0.239 & 0.405901 \tabularnewline
26 & -0.087002 & -0.7433 & 0.229828 \tabularnewline
27 & -0.027496 & -0.2349 & 0.407462 \tabularnewline
28 & -0.019863 & -0.1697 & 0.432852 \tabularnewline
29 & -0.031455 & -0.2688 & 0.39444 \tabularnewline
30 & 0.095321 & 0.8144 & 0.209027 \tabularnewline
31 & -0.029043 & -0.2481 & 0.402359 \tabularnewline
32 & -0.034545 & -0.2952 & 0.384359 \tabularnewline
33 & -0.050019 & -0.4274 & 0.335186 \tabularnewline
34 & -0.046652 & -0.3986 & 0.345677 \tabularnewline
35 & -0.019389 & -0.1657 & 0.434442 \tabularnewline
36 & -0.00238 & -0.0203 & 0.491915 \tabularnewline
37 & 0.025318 & 0.2163 & 0.414671 \tabularnewline
38 & -0.116578 & -0.996 & 0.161259 \tabularnewline
39 & 0.016093 & 0.1375 & 0.445509 \tabularnewline
40 & 0.054352 & 0.4644 & 0.321876 \tabularnewline
41 & -0.04859 & -0.4152 & 0.339623 \tabularnewline
42 & -0.087498 & -0.7476 & 0.228556 \tabularnewline
43 & 0.042426 & 0.3625 & 0.359019 \tabularnewline
44 & 0.006043 & 0.0516 & 0.479483 \tabularnewline
45 & -0.141289 & -1.2072 & 0.11563 \tabularnewline
46 & 0.044023 & 0.3761 & 0.353956 \tabularnewline
47 & -0.061681 & -0.527 & 0.299894 \tabularnewline
48 & -0.015546 & -0.1328 & 0.44735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39979&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]0.963786[/C][C]8.2346[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.439166[/C][C]-3.7522[/C][C]0.000174[/C][/ROW]
[ROW][C]3[/C][C]-0.172076[/C][C]-1.4702[/C][C]0.0729[/C][/ROW]
[ROW][C]4[/C][C]0.055974[/C][C]0.4782[/C][C]0.316954[/C][/ROW]
[ROW][C]5[/C][C]0.09072[/C][C]0.7751[/C][C]0.220389[/C][/ROW]
[ROW][C]6[/C][C]0.09194[/C][C]0.7855[/C][C]0.217341[/C][/ROW]
[ROW][C]7[/C][C]0.005629[/C][C]0.0481[/C][C]0.480886[/C][/ROW]
[ROW][C]8[/C][C]-0.125738[/C][C]-1.0743[/C][C]0.143112[/C][/ROW]
[ROW][C]9[/C][C]-0.055142[/C][C]-0.4711[/C][C]0.319474[/C][/ROW]
[ROW][C]10[/C][C]0.128168[/C][C]1.0951[/C][C]0.138543[/C][/ROW]
[ROW][C]11[/C][C]-0.034504[/C][C]-0.2948[/C][C]0.38449[/C][/ROW]
[ROW][C]12[/C][C]-0.043392[/C][C]-0.3707[/C][C]0.355952[/C][/ROW]
[ROW][C]13[/C][C]0.021935[/C][C]0.1874[/C][C]0.425928[/C][/ROW]
[ROW][C]14[/C][C]0.040427[/C][C]0.3454[/C][C]0.365391[/C][/ROW]
[ROW][C]15[/C][C]-0.027746[/C][C]-0.2371[/C][C]0.406635[/C][/ROW]
[ROW][C]16[/C][C]-0.093152[/C][C]-0.7959[/C][C]0.214338[/C][/ROW]
[ROW][C]17[/C][C]0.084138[/C][C]0.7189[/C][C]0.237256[/C][/ROW]
[ROW][C]18[/C][C]0.023931[/C][C]0.2045[/C][C]0.419277[/C][/ROW]
[ROW][C]19[/C][C]0.064885[/C][C]0.5544[/C][C]0.290507[/C][/ROW]
[ROW][C]20[/C][C]-0.035938[/C][C]-0.3071[/C][C]0.379839[/C][/ROW]
[ROW][C]21[/C][C]-0.05075[/C][C]-0.4336[/C][C]0.332927[/C][/ROW]
[ROW][C]22[/C][C]-0.003233[/C][C]-0.0276[/C][C]0.48902[/C][/ROW]
[ROW][C]23[/C][C]-0.055255[/C][C]-0.4721[/C][C]0.319132[/C][/ROW]
[ROW][C]24[/C][C]-0.048589[/C][C]-0.4151[/C][C]0.339626[/C][/ROW]
[ROW][C]25[/C][C]0.027969[/C][C]0.239[/C][C]0.405901[/C][/ROW]
[ROW][C]26[/C][C]-0.087002[/C][C]-0.7433[/C][C]0.229828[/C][/ROW]
[ROW][C]27[/C][C]-0.027496[/C][C]-0.2349[/C][C]0.407462[/C][/ROW]
[ROW][C]28[/C][C]-0.019863[/C][C]-0.1697[/C][C]0.432852[/C][/ROW]
[ROW][C]29[/C][C]-0.031455[/C][C]-0.2688[/C][C]0.39444[/C][/ROW]
[ROW][C]30[/C][C]0.095321[/C][C]0.8144[/C][C]0.209027[/C][/ROW]
[ROW][C]31[/C][C]-0.029043[/C][C]-0.2481[/C][C]0.402359[/C][/ROW]
[ROW][C]32[/C][C]-0.034545[/C][C]-0.2952[/C][C]0.384359[/C][/ROW]
[ROW][C]33[/C][C]-0.050019[/C][C]-0.4274[/C][C]0.335186[/C][/ROW]
[ROW][C]34[/C][C]-0.046652[/C][C]-0.3986[/C][C]0.345677[/C][/ROW]
[ROW][C]35[/C][C]-0.019389[/C][C]-0.1657[/C][C]0.434442[/C][/ROW]
[ROW][C]36[/C][C]-0.00238[/C][C]-0.0203[/C][C]0.491915[/C][/ROW]
[ROW][C]37[/C][C]0.025318[/C][C]0.2163[/C][C]0.414671[/C][/ROW]
[ROW][C]38[/C][C]-0.116578[/C][C]-0.996[/C][C]0.161259[/C][/ROW]
[ROW][C]39[/C][C]0.016093[/C][C]0.1375[/C][C]0.445509[/C][/ROW]
[ROW][C]40[/C][C]0.054352[/C][C]0.4644[/C][C]0.321876[/C][/ROW]
[ROW][C]41[/C][C]-0.04859[/C][C]-0.4152[/C][C]0.339623[/C][/ROW]
[ROW][C]42[/C][C]-0.087498[/C][C]-0.7476[/C][C]0.228556[/C][/ROW]
[ROW][C]43[/C][C]0.042426[/C][C]0.3625[/C][C]0.359019[/C][/ROW]
[ROW][C]44[/C][C]0.006043[/C][C]0.0516[/C][C]0.479483[/C][/ROW]
[ROW][C]45[/C][C]-0.141289[/C][C]-1.2072[/C][C]0.11563[/C][/ROW]
[ROW][C]46[/C][C]0.044023[/C][C]0.3761[/C][C]0.353956[/C][/ROW]
[ROW][C]47[/C][C]-0.061681[/C][C]-0.527[/C][C]0.299894[/C][/ROW]
[ROW][C]48[/C][C]-0.015546[/C][C]-0.1328[/C][C]0.44735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39979&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39979&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
10.9637868.23460
2-0.439166-3.75220.000174
3-0.172076-1.47020.0729
40.0559740.47820.316954
50.090720.77510.220389
60.091940.78550.217341
70.0056290.04810.480886
8-0.125738-1.07430.143112
9-0.055142-0.47110.319474
100.1281681.09510.138543
11-0.034504-0.29480.38449
12-0.043392-0.37070.355952
130.0219350.18740.425928
140.0404270.34540.365391
15-0.027746-0.23710.406635
16-0.093152-0.79590.214338
170.0841380.71890.237256
180.0239310.20450.419277
190.0648850.55440.290507
20-0.035938-0.30710.379839
21-0.05075-0.43360.332927
22-0.003233-0.02760.48902
23-0.055255-0.47210.319132
24-0.048589-0.41510.339626
250.0279690.2390.405901
26-0.087002-0.74330.229828
27-0.027496-0.23490.407462
28-0.019863-0.16970.432852
29-0.031455-0.26880.39444
300.0953210.81440.209027
31-0.029043-0.24810.402359
32-0.034545-0.29520.384359
33-0.050019-0.42740.335186
34-0.046652-0.39860.345677
35-0.019389-0.16570.434442
36-0.00238-0.02030.491915
370.0253180.21630.414671
38-0.116578-0.9960.161259
390.0160930.13750.445509
400.0543520.46440.321876
41-0.04859-0.41520.339623
42-0.087498-0.74760.228556
430.0424260.36250.359019
440.0060430.05160.479483
45-0.141289-1.20720.11563
460.0440230.37610.353956
47-0.061681-0.5270.299894
48-0.015546-0.13280.44735



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