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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationFri, 14 Dec 2007 03:33:53 -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/2007/Dec/14/t1197627493ihy14v229afi9y2.htm/, Retrieved Thu, 02 May 2024 21:57:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3813, Retrieved Thu, 02 May 2024 21:57:57 +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] [Paper : ACF en PA...] [2007-12-14 10:33:53] [9bbf43209035234637c4ce5aaffd9fad] [Current]
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Dataseries X:
15044.50
14944.20
16754.80
14254.00
15454.90
15644.80
14568.30
12520.20
14803.00
15873.20
14755.30
12875.10
14291.10
14205.30
15859.40
15258.90
15498.60
15106.50
15023.60
12083.00
15761.30
16943.00
15070.30
13659.60
14768.90
14725.10
15998.10
15370.60
14956.90
15469.70
15101.80
11703.70
16283.60
16726.50
14968.90
14861.00
14583.30
15305.80
17903.90
16379.40
15420.30
17870.50
15912.80
13866.50
17823.20
17872.00
17420.40
16704.40
15991.20
16583.60
19123.50
17838.70
17209.40
18586.50
16258.10
15141.60
19202.10
17746.50
19090.10
18040.30




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3813&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3813&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3813&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
016.85570
1-0.53508-3.66830.999689
2-0.128774-0.88280.80909
30.4167032.85680.003178
4-0.322532-2.21120.984038
50.0817190.56020.28899
60.2265911.55340.063515
7-0.338022-2.31740.987556
80.0873020.59850.276186
90.2303141.5790.060527
10-0.297161-2.03720.97636
110.0582350.39920.345762
120.1492741.02340.155685
13-0.314267-2.15450.981821
140.2544761.74460.043796
150.022330.15310.439493
16-0.359642-2.46560.991307
170.3838752.63170.005728
18-0.064554-0.44260.669942
19-0.250902-1.72010.954003
200.2625411.79990.039149
21-0.022687-0.15550.561467
22-0.2214-1.51780.932123
230.3610582.47530.008487
24-0.207436-1.42210.919202
25-0.073241-0.50210.691034
260.2558981.75430.042945
27-0.196035-1.34390.907291
280.0836190.57330.284601
290.0123660.08480.466399
30-0.104569-0.71690.761505
310.1255410.86070.196896
32-0.022282-0.15280.560379
33-0.056196-0.38530.649108
34-0.019007-0.13030.551558
350.0553630.37960.352994
36-0.05221-0.35790.639002
370.0257460.17650.430327
380.0409460.28070.390082
39-0.13283-0.91060.816433
400.1219830.83630.203617
410.001210.00830.496708
42-0.115472-0.79160.783726
430.1025220.70290.242807
44-0.02622-0.17980.570942
450.0006130.00420.498331
460.0002950.0020.499198
47NANANA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 6.8557 & 0 \tabularnewline
1 & -0.53508 & -3.6683 & 0.999689 \tabularnewline
2 & -0.128774 & -0.8828 & 0.80909 \tabularnewline
3 & 0.416703 & 2.8568 & 0.003178 \tabularnewline
4 & -0.322532 & -2.2112 & 0.984038 \tabularnewline
5 & 0.081719 & 0.5602 & 0.28899 \tabularnewline
6 & 0.226591 & 1.5534 & 0.063515 \tabularnewline
7 & -0.338022 & -2.3174 & 0.987556 \tabularnewline
8 & 0.087302 & 0.5985 & 0.276186 \tabularnewline
9 & 0.230314 & 1.579 & 0.060527 \tabularnewline
10 & -0.297161 & -2.0372 & 0.97636 \tabularnewline
11 & 0.058235 & 0.3992 & 0.345762 \tabularnewline
12 & 0.149274 & 1.0234 & 0.155685 \tabularnewline
13 & -0.314267 & -2.1545 & 0.981821 \tabularnewline
14 & 0.254476 & 1.7446 & 0.043796 \tabularnewline
15 & 0.02233 & 0.1531 & 0.439493 \tabularnewline
16 & -0.359642 & -2.4656 & 0.991307 \tabularnewline
17 & 0.383875 & 2.6317 & 0.005728 \tabularnewline
18 & -0.064554 & -0.4426 & 0.669942 \tabularnewline
19 & -0.250902 & -1.7201 & 0.954003 \tabularnewline
20 & 0.262541 & 1.7999 & 0.039149 \tabularnewline
21 & -0.022687 & -0.1555 & 0.561467 \tabularnewline
22 & -0.2214 & -1.5178 & 0.932123 \tabularnewline
23 & 0.361058 & 2.4753 & 0.008487 \tabularnewline
24 & -0.207436 & -1.4221 & 0.919202 \tabularnewline
25 & -0.073241 & -0.5021 & 0.691034 \tabularnewline
26 & 0.255898 & 1.7543 & 0.042945 \tabularnewline
27 & -0.196035 & -1.3439 & 0.907291 \tabularnewline
28 & 0.083619 & 0.5733 & 0.284601 \tabularnewline
29 & 0.012366 & 0.0848 & 0.466399 \tabularnewline
30 & -0.104569 & -0.7169 & 0.761505 \tabularnewline
31 & 0.125541 & 0.8607 & 0.196896 \tabularnewline
32 & -0.022282 & -0.1528 & 0.560379 \tabularnewline
33 & -0.056196 & -0.3853 & 0.649108 \tabularnewline
34 & -0.019007 & -0.1303 & 0.551558 \tabularnewline
35 & 0.055363 & 0.3796 & 0.352994 \tabularnewline
36 & -0.05221 & -0.3579 & 0.639002 \tabularnewline
37 & 0.025746 & 0.1765 & 0.430327 \tabularnewline
38 & 0.040946 & 0.2807 & 0.390082 \tabularnewline
39 & -0.13283 & -0.9106 & 0.816433 \tabularnewline
40 & 0.121983 & 0.8363 & 0.203617 \tabularnewline
41 & 0.00121 & 0.0083 & 0.496708 \tabularnewline
42 & -0.115472 & -0.7916 & 0.783726 \tabularnewline
43 & 0.102522 & 0.7029 & 0.242807 \tabularnewline
44 & -0.02622 & -0.1798 & 0.570942 \tabularnewline
45 & 0.000613 & 0.0042 & 0.498331 \tabularnewline
46 & 0.000295 & 0.002 & 0.499198 \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3813&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]0[/C][C]1[/C][C]6.8557[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]-0.53508[/C][C]-3.6683[/C][C]0.999689[/C][/ROW]
[ROW][C]2[/C][C]-0.128774[/C][C]-0.8828[/C][C]0.80909[/C][/ROW]
[ROW][C]3[/C][C]0.416703[/C][C]2.8568[/C][C]0.003178[/C][/ROW]
[ROW][C]4[/C][C]-0.322532[/C][C]-2.2112[/C][C]0.984038[/C][/ROW]
[ROW][C]5[/C][C]0.081719[/C][C]0.5602[/C][C]0.28899[/C][/ROW]
[ROW][C]6[/C][C]0.226591[/C][C]1.5534[/C][C]0.063515[/C][/ROW]
[ROW][C]7[/C][C]-0.338022[/C][C]-2.3174[/C][C]0.987556[/C][/ROW]
[ROW][C]8[/C][C]0.087302[/C][C]0.5985[/C][C]0.276186[/C][/ROW]
[ROW][C]9[/C][C]0.230314[/C][C]1.579[/C][C]0.060527[/C][/ROW]
[ROW][C]10[/C][C]-0.297161[/C][C]-2.0372[/C][C]0.97636[/C][/ROW]
[ROW][C]11[/C][C]0.058235[/C][C]0.3992[/C][C]0.345762[/C][/ROW]
[ROW][C]12[/C][C]0.149274[/C][C]1.0234[/C][C]0.155685[/C][/ROW]
[ROW][C]13[/C][C]-0.314267[/C][C]-2.1545[/C][C]0.981821[/C][/ROW]
[ROW][C]14[/C][C]0.254476[/C][C]1.7446[/C][C]0.043796[/C][/ROW]
[ROW][C]15[/C][C]0.02233[/C][C]0.1531[/C][C]0.439493[/C][/ROW]
[ROW][C]16[/C][C]-0.359642[/C][C]-2.4656[/C][C]0.991307[/C][/ROW]
[ROW][C]17[/C][C]0.383875[/C][C]2.6317[/C][C]0.005728[/C][/ROW]
[ROW][C]18[/C][C]-0.064554[/C][C]-0.4426[/C][C]0.669942[/C][/ROW]
[ROW][C]19[/C][C]-0.250902[/C][C]-1.7201[/C][C]0.954003[/C][/ROW]
[ROW][C]20[/C][C]0.262541[/C][C]1.7999[/C][C]0.039149[/C][/ROW]
[ROW][C]21[/C][C]-0.022687[/C][C]-0.1555[/C][C]0.561467[/C][/ROW]
[ROW][C]22[/C][C]-0.2214[/C][C]-1.5178[/C][C]0.932123[/C][/ROW]
[ROW][C]23[/C][C]0.361058[/C][C]2.4753[/C][C]0.008487[/C][/ROW]
[ROW][C]24[/C][C]-0.207436[/C][C]-1.4221[/C][C]0.919202[/C][/ROW]
[ROW][C]25[/C][C]-0.073241[/C][C]-0.5021[/C][C]0.691034[/C][/ROW]
[ROW][C]26[/C][C]0.255898[/C][C]1.7543[/C][C]0.042945[/C][/ROW]
[ROW][C]27[/C][C]-0.196035[/C][C]-1.3439[/C][C]0.907291[/C][/ROW]
[ROW][C]28[/C][C]0.083619[/C][C]0.5733[/C][C]0.284601[/C][/ROW]
[ROW][C]29[/C][C]0.012366[/C][C]0.0848[/C][C]0.466399[/C][/ROW]
[ROW][C]30[/C][C]-0.104569[/C][C]-0.7169[/C][C]0.761505[/C][/ROW]
[ROW][C]31[/C][C]0.125541[/C][C]0.8607[/C][C]0.196896[/C][/ROW]
[ROW][C]32[/C][C]-0.022282[/C][C]-0.1528[/C][C]0.560379[/C][/ROW]
[ROW][C]33[/C][C]-0.056196[/C][C]-0.3853[/C][C]0.649108[/C][/ROW]
[ROW][C]34[/C][C]-0.019007[/C][C]-0.1303[/C][C]0.551558[/C][/ROW]
[ROW][C]35[/C][C]0.055363[/C][C]0.3796[/C][C]0.352994[/C][/ROW]
[ROW][C]36[/C][C]-0.05221[/C][C]-0.3579[/C][C]0.639002[/C][/ROW]
[ROW][C]37[/C][C]0.025746[/C][C]0.1765[/C][C]0.430327[/C][/ROW]
[ROW][C]38[/C][C]0.040946[/C][C]0.2807[/C][C]0.390082[/C][/ROW]
[ROW][C]39[/C][C]-0.13283[/C][C]-0.9106[/C][C]0.816433[/C][/ROW]
[ROW][C]40[/C][C]0.121983[/C][C]0.8363[/C][C]0.203617[/C][/ROW]
[ROW][C]41[/C][C]0.00121[/C][C]0.0083[/C][C]0.496708[/C][/ROW]
[ROW][C]42[/C][C]-0.115472[/C][C]-0.7916[/C][C]0.783726[/C][/ROW]
[ROW][C]43[/C][C]0.102522[/C][C]0.7029[/C][C]0.242807[/C][/ROW]
[ROW][C]44[/C][C]-0.02622[/C][C]-0.1798[/C][C]0.570942[/C][/ROW]
[ROW][C]45[/C][C]0.000613[/C][C]0.0042[/C][C]0.498331[/C][/ROW]
[ROW][C]46[/C][C]0.000295[/C][C]0.002[/C][C]0.499198[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3813&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3813&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
016.85570
1-0.53508-3.66830.999689
2-0.128774-0.88280.80909
30.4167032.85680.003178
4-0.322532-2.21120.984038
50.0817190.56020.28899
60.2265911.55340.063515
7-0.338022-2.31740.987556
80.0873020.59850.276186
90.2303141.5790.060527
10-0.297161-2.03720.97636
110.0582350.39920.345762
120.1492741.02340.155685
13-0.314267-2.15450.981821
140.2544761.74460.043796
150.022330.15310.439493
16-0.359642-2.46560.991307
170.3838752.63170.005728
18-0.064554-0.44260.669942
19-0.250902-1.72010.954003
200.2625411.79990.039149
21-0.022687-0.15550.561467
22-0.2214-1.51780.932123
230.3610582.47530.008487
24-0.207436-1.42210.919202
25-0.073241-0.50210.691034
260.2558981.75430.042945
27-0.196035-1.34390.907291
280.0836190.57330.284601
290.0123660.08480.466399
30-0.104569-0.71690.761505
310.1255410.86070.196896
32-0.022282-0.15280.560379
33-0.056196-0.38530.649108
34-0.019007-0.13030.551558
350.0553630.37960.352994
36-0.05221-0.35790.639002
370.0257460.17650.430327
380.0409460.28070.390082
39-0.13283-0.91060.816433
400.1219830.83630.203617
410.001210.00830.496708
42-0.115472-0.79160.783726
430.1025220.70290.242807
44-0.02622-0.17980.570942
450.0006130.00420.498331
460.0002950.0020.499198
47NANANA







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.53508-3.66830.999689
1-0.581604-3.98730.999884
2-0.007371-0.05050.520044
3-0.10109-0.6930.754153
40.0229910.15760.437718
50.2620041.79620.039445
60.0536520.36780.35733
7-0.174394-1.19560.881072
80.0028350.01940.492289
9-0.03835-0.26290.603116
10-0.179671-1.23180.887918
11-0.112308-0.76990.777408
12-0.310267-2.12710.980655
13-0.160666-1.10150.861849
14-0.0075-0.05140.520396
15-0.213933-1.46660.925434
16-0.017294-0.11860.546935
170.1173610.80460.212555
180.0277860.19050.424873
19-0.138023-0.94620.825567
200.0515690.35350.362631
21-0.129279-0.88630.810013
220.0161050.11040.456276
23-0.031227-0.21410.584294
240.0725030.49710.310732
25-0.045962-0.31510.62296
26-0.091749-0.6290.733803
270.1888061.29440.100928
28-0.081477-0.55860.710449
29-0.061166-0.41930.661559
300.0282340.19360.423676
31-0.066107-0.45320.673759
320.1027310.70430.242364
33-0.006564-0.0450.517852
34-0.11399-0.78150.780779
35-0.037562-0.25750.601047
360.0303230.20790.418108
370.0622590.42680.335726
380.1129840.77460.221234
390.0653630.44810.328067
400.0917520.6290.266191
41-0.074619-0.51160.694323
42-0.022696-0.15560.56149
43-0.012623-0.08650.534298
44-0.049054-0.33630.630929
45-0.084045-0.57620.71638
46NANANA
47NANANA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & -0.53508 & -3.6683 & 0.999689 \tabularnewline
1 & -0.581604 & -3.9873 & 0.999884 \tabularnewline
2 & -0.007371 & -0.0505 & 0.520044 \tabularnewline
3 & -0.10109 & -0.693 & 0.754153 \tabularnewline
4 & 0.022991 & 0.1576 & 0.437718 \tabularnewline
5 & 0.262004 & 1.7962 & 0.039445 \tabularnewline
6 & 0.053652 & 0.3678 & 0.35733 \tabularnewline
7 & -0.174394 & -1.1956 & 0.881072 \tabularnewline
8 & 0.002835 & 0.0194 & 0.492289 \tabularnewline
9 & -0.03835 & -0.2629 & 0.603116 \tabularnewline
10 & -0.179671 & -1.2318 & 0.887918 \tabularnewline
11 & -0.112308 & -0.7699 & 0.777408 \tabularnewline
12 & -0.310267 & -2.1271 & 0.980655 \tabularnewline
13 & -0.160666 & -1.1015 & 0.861849 \tabularnewline
14 & -0.0075 & -0.0514 & 0.520396 \tabularnewline
15 & -0.213933 & -1.4666 & 0.925434 \tabularnewline
16 & -0.017294 & -0.1186 & 0.546935 \tabularnewline
17 & 0.117361 & 0.8046 & 0.212555 \tabularnewline
18 & 0.027786 & 0.1905 & 0.424873 \tabularnewline
19 & -0.138023 & -0.9462 & 0.825567 \tabularnewline
20 & 0.051569 & 0.3535 & 0.362631 \tabularnewline
21 & -0.129279 & -0.8863 & 0.810013 \tabularnewline
22 & 0.016105 & 0.1104 & 0.456276 \tabularnewline
23 & -0.031227 & -0.2141 & 0.584294 \tabularnewline
24 & 0.072503 & 0.4971 & 0.310732 \tabularnewline
25 & -0.045962 & -0.3151 & 0.62296 \tabularnewline
26 & -0.091749 & -0.629 & 0.733803 \tabularnewline
27 & 0.188806 & 1.2944 & 0.100928 \tabularnewline
28 & -0.081477 & -0.5586 & 0.710449 \tabularnewline
29 & -0.061166 & -0.4193 & 0.661559 \tabularnewline
30 & 0.028234 & 0.1936 & 0.423676 \tabularnewline
31 & -0.066107 & -0.4532 & 0.673759 \tabularnewline
32 & 0.102731 & 0.7043 & 0.242364 \tabularnewline
33 & -0.006564 & -0.045 & 0.517852 \tabularnewline
34 & -0.11399 & -0.7815 & 0.780779 \tabularnewline
35 & -0.037562 & -0.2575 & 0.601047 \tabularnewline
36 & 0.030323 & 0.2079 & 0.418108 \tabularnewline
37 & 0.062259 & 0.4268 & 0.335726 \tabularnewline
38 & 0.112984 & 0.7746 & 0.221234 \tabularnewline
39 & 0.065363 & 0.4481 & 0.328067 \tabularnewline
40 & 0.091752 & 0.629 & 0.266191 \tabularnewline
41 & -0.074619 & -0.5116 & 0.694323 \tabularnewline
42 & -0.022696 & -0.1556 & 0.56149 \tabularnewline
43 & -0.012623 & -0.0865 & 0.534298 \tabularnewline
44 & -0.049054 & -0.3363 & 0.630929 \tabularnewline
45 & -0.084045 & -0.5762 & 0.71638 \tabularnewline
46 & NA & NA & NA \tabularnewline
47 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3813&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]0[/C][C]-0.53508[/C][C]-3.6683[/C][C]0.999689[/C][/ROW]
[ROW][C]1[/C][C]-0.581604[/C][C]-3.9873[/C][C]0.999884[/C][/ROW]
[ROW][C]2[/C][C]-0.007371[/C][C]-0.0505[/C][C]0.520044[/C][/ROW]
[ROW][C]3[/C][C]-0.10109[/C][C]-0.693[/C][C]0.754153[/C][/ROW]
[ROW][C]4[/C][C]0.022991[/C][C]0.1576[/C][C]0.437718[/C][/ROW]
[ROW][C]5[/C][C]0.262004[/C][C]1.7962[/C][C]0.039445[/C][/ROW]
[ROW][C]6[/C][C]0.053652[/C][C]0.3678[/C][C]0.35733[/C][/ROW]
[ROW][C]7[/C][C]-0.174394[/C][C]-1.1956[/C][C]0.881072[/C][/ROW]
[ROW][C]8[/C][C]0.002835[/C][C]0.0194[/C][C]0.492289[/C][/ROW]
[ROW][C]9[/C][C]-0.03835[/C][C]-0.2629[/C][C]0.603116[/C][/ROW]
[ROW][C]10[/C][C]-0.179671[/C][C]-1.2318[/C][C]0.887918[/C][/ROW]
[ROW][C]11[/C][C]-0.112308[/C][C]-0.7699[/C][C]0.777408[/C][/ROW]
[ROW][C]12[/C][C]-0.310267[/C][C]-2.1271[/C][C]0.980655[/C][/ROW]
[ROW][C]13[/C][C]-0.160666[/C][C]-1.1015[/C][C]0.861849[/C][/ROW]
[ROW][C]14[/C][C]-0.0075[/C][C]-0.0514[/C][C]0.520396[/C][/ROW]
[ROW][C]15[/C][C]-0.213933[/C][C]-1.4666[/C][C]0.925434[/C][/ROW]
[ROW][C]16[/C][C]-0.017294[/C][C]-0.1186[/C][C]0.546935[/C][/ROW]
[ROW][C]17[/C][C]0.117361[/C][C]0.8046[/C][C]0.212555[/C][/ROW]
[ROW][C]18[/C][C]0.027786[/C][C]0.1905[/C][C]0.424873[/C][/ROW]
[ROW][C]19[/C][C]-0.138023[/C][C]-0.9462[/C][C]0.825567[/C][/ROW]
[ROW][C]20[/C][C]0.051569[/C][C]0.3535[/C][C]0.362631[/C][/ROW]
[ROW][C]21[/C][C]-0.129279[/C][C]-0.8863[/C][C]0.810013[/C][/ROW]
[ROW][C]22[/C][C]0.016105[/C][C]0.1104[/C][C]0.456276[/C][/ROW]
[ROW][C]23[/C][C]-0.031227[/C][C]-0.2141[/C][C]0.584294[/C][/ROW]
[ROW][C]24[/C][C]0.072503[/C][C]0.4971[/C][C]0.310732[/C][/ROW]
[ROW][C]25[/C][C]-0.045962[/C][C]-0.3151[/C][C]0.62296[/C][/ROW]
[ROW][C]26[/C][C]-0.091749[/C][C]-0.629[/C][C]0.733803[/C][/ROW]
[ROW][C]27[/C][C]0.188806[/C][C]1.2944[/C][C]0.100928[/C][/ROW]
[ROW][C]28[/C][C]-0.081477[/C][C]-0.5586[/C][C]0.710449[/C][/ROW]
[ROW][C]29[/C][C]-0.061166[/C][C]-0.4193[/C][C]0.661559[/C][/ROW]
[ROW][C]30[/C][C]0.028234[/C][C]0.1936[/C][C]0.423676[/C][/ROW]
[ROW][C]31[/C][C]-0.066107[/C][C]-0.4532[/C][C]0.673759[/C][/ROW]
[ROW][C]32[/C][C]0.102731[/C][C]0.7043[/C][C]0.242364[/C][/ROW]
[ROW][C]33[/C][C]-0.006564[/C][C]-0.045[/C][C]0.517852[/C][/ROW]
[ROW][C]34[/C][C]-0.11399[/C][C]-0.7815[/C][C]0.780779[/C][/ROW]
[ROW][C]35[/C][C]-0.037562[/C][C]-0.2575[/C][C]0.601047[/C][/ROW]
[ROW][C]36[/C][C]0.030323[/C][C]0.2079[/C][C]0.418108[/C][/ROW]
[ROW][C]37[/C][C]0.062259[/C][C]0.4268[/C][C]0.335726[/C][/ROW]
[ROW][C]38[/C][C]0.112984[/C][C]0.7746[/C][C]0.221234[/C][/ROW]
[ROW][C]39[/C][C]0.065363[/C][C]0.4481[/C][C]0.328067[/C][/ROW]
[ROW][C]40[/C][C]0.091752[/C][C]0.629[/C][C]0.266191[/C][/ROW]
[ROW][C]41[/C][C]-0.074619[/C][C]-0.5116[/C][C]0.694323[/C][/ROW]
[ROW][C]42[/C][C]-0.022696[/C][C]-0.1556[/C][C]0.56149[/C][/ROW]
[ROW][C]43[/C][C]-0.012623[/C][C]-0.0865[/C][C]0.534298[/C][/ROW]
[ROW][C]44[/C][C]-0.049054[/C][C]-0.3363[/C][C]0.630929[/C][/ROW]
[ROW][C]45[/C][C]-0.084045[/C][C]-0.5762[/C][C]0.71638[/C][/ROW]
[ROW][C]46[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3813&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3813&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
0-0.53508-3.66830.999689
1-0.581604-3.98730.999884
2-0.007371-0.05050.520044
3-0.10109-0.6930.754153
40.0229910.15760.437718
50.2620041.79620.039445
60.0536520.36780.35733
7-0.174394-1.19560.881072
80.0028350.01940.492289
9-0.03835-0.26290.603116
10-0.179671-1.23180.887918
11-0.112308-0.76990.777408
12-0.310267-2.12710.980655
13-0.160666-1.10150.861849
14-0.0075-0.05140.520396
15-0.213933-1.46660.925434
16-0.017294-0.11860.546935
170.1173610.80460.212555
180.0277860.19050.424873
19-0.138023-0.94620.825567
200.0515690.35350.362631
21-0.129279-0.88630.810013
220.0161050.11040.456276
23-0.031227-0.21410.584294
240.0725030.49710.310732
25-0.045962-0.31510.62296
26-0.091749-0.6290.733803
270.1888061.29440.100928
28-0.081477-0.55860.710449
29-0.061166-0.41930.661559
300.0282340.19360.423676
31-0.066107-0.45320.673759
320.1027310.70430.242364
33-0.006564-0.0450.517852
34-0.11399-0.78150.780779
35-0.037562-0.25750.601047
360.0303230.20790.418108
370.0622590.42680.335726
380.1129840.77460.221234
390.0653630.44810.328067
400.0917520.6290.266191
41-0.074619-0.51160.694323
42-0.022696-0.15560.56149
43-0.012623-0.08650.534298
44-0.049054-0.33630.630929
45-0.084045-0.57620.71638
46NANANA
47NANANA



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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')