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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 20 Dec 2007 08:53:45 -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/20/t119816495774dlh2h5jhvcb99.htm/, Retrieved Mon, 29 Apr 2024 14:59:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4744, Retrieved Mon, 29 Apr 2024 14:59:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [partial autocorr ...] [2007-12-20 15:53:45] [8e05505c645e933583b5ad9ab4281af9] [Current]
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Dataseries X:
153,4
159,5
157,4
169,1
172,6
161,7
159,2
157,4
153,9
144,8
142,2
140,1
143,4
153,3
166,9
170,6
182,8
170,3
156,6
155,2
154,7
151,6
152,1
153,2
149,5
149,7
144,3
140
137,8
132,2
128,9
123,1
120,4
122,8
126
124,5
120,6
114,7
111,7
109,1
108
107,7
99,9
103,7
103,4
103,4
104,7
105,8
105,3
103
103,8
103,4
105,8
101,4
97
94,3
96,6
97,1
95,7
96,9
97,4
95,3
93,6
91,5
93,1
91,7
94,3
93,9
90,9
88,3
91,3
91,7
92,4
92
95,6
95,8
96,4
99
107
109,7
116,2
115,9
113,8
112,6
113,7
115,9
110,3
111,3
113,4
108,2
104,8
106
110,9
115
118,4
121,4
128,8
131,7
141,7
142,9
139,4
134,7
125
113,6
111,5
108,5
112,3
116,6
115,5
120,1
132,9
128,1
129,3
132,5
131
124,9
120,8
122
122,1
127,4
135,2
137,3
135
136
138,4
134,7
138,4
133,9
133,6
141,2
151,8
155,4
156,6
161,6
160,7
156
159,5
168,7
169,9
169,9
185,9




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4744&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]1 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=4744&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4744&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
0111.83220
10.317953.7620.000124
20.1026291.21430.113335
30.0979111.15850.124317
4-0.063666-0.75330.773736
5-0.234806-2.77830.996892
6-0.129779-1.53560.93655
7-0.074969-0.8870.811713
8-0.07924-0.93760.824962
9-0.009676-0.11450.545493
100.1015141.20110.115865
110.138321.63660.051978
120.1412961.67180.048395
130.2109522.4960.00686
140.1395771.65150.050439
15-0.076897-0.90990.817769
16-0.003376-0.03990.515905
17-0.038346-0.45370.67463
180.0503750.5960.276053
190.0940561.11290.133833
200.1187751.40540.081065
210.0861221.0190.154977
220.0566840.67070.251761
23-0.045398-0.53720.703994
24-0.051222-0.60610.727275
25-0.094315-1.11590.866821
26-0.061892-0.73230.767399
270.0127820.15120.440005
28-0.055054-0.65140.742076
29-0.081923-0.96930.832973
300.0519020.61410.27007
310.0812050.96080.169147
320.1500231.77510.039028
330.0820280.97060.166719
340.0025460.03010.488005
35-0.012307-0.14560.557782
360.0299070.35390.361984
37-0.045865-0.54270.705895
38-0.114743-1.35770.911621
39-0.071586-0.8470.800785
400.0048920.05790.476962
41-0.056525-0.66880.747641
420.0232740.27540.391714
43-0.027192-0.32170.625933
440.0637920.75480.22582
450.0291710.34520.365249
460.0452270.53510.296702
47-0.04361-0.5160.696664

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
0 & 1 & 11.8322 & 0 \tabularnewline
1 & 0.31795 & 3.762 & 0.000124 \tabularnewline
2 & 0.102629 & 1.2143 & 0.113335 \tabularnewline
3 & 0.097911 & 1.1585 & 0.124317 \tabularnewline
4 & -0.063666 & -0.7533 & 0.773736 \tabularnewline
5 & -0.234806 & -2.7783 & 0.996892 \tabularnewline
6 & -0.129779 & -1.5356 & 0.93655 \tabularnewline
7 & -0.074969 & -0.887 & 0.811713 \tabularnewline
8 & -0.07924 & -0.9376 & 0.824962 \tabularnewline
9 & -0.009676 & -0.1145 & 0.545493 \tabularnewline
10 & 0.101514 & 1.2011 & 0.115865 \tabularnewline
11 & 0.13832 & 1.6366 & 0.051978 \tabularnewline
12 & 0.141296 & 1.6718 & 0.048395 \tabularnewline
13 & 0.210952 & 2.496 & 0.00686 \tabularnewline
14 & 0.139577 & 1.6515 & 0.050439 \tabularnewline
15 & -0.076897 & -0.9099 & 0.817769 \tabularnewline
16 & -0.003376 & -0.0399 & 0.515905 \tabularnewline
17 & -0.038346 & -0.4537 & 0.67463 \tabularnewline
18 & 0.050375 & 0.596 & 0.276053 \tabularnewline
19 & 0.094056 & 1.1129 & 0.133833 \tabularnewline
20 & 0.118775 & 1.4054 & 0.081065 \tabularnewline
21 & 0.086122 & 1.019 & 0.154977 \tabularnewline
22 & 0.056684 & 0.6707 & 0.251761 \tabularnewline
23 & -0.045398 & -0.5372 & 0.703994 \tabularnewline
24 & -0.051222 & -0.6061 & 0.727275 \tabularnewline
25 & -0.094315 & -1.1159 & 0.866821 \tabularnewline
26 & -0.061892 & -0.7323 & 0.767399 \tabularnewline
27 & 0.012782 & 0.1512 & 0.440005 \tabularnewline
28 & -0.055054 & -0.6514 & 0.742076 \tabularnewline
29 & -0.081923 & -0.9693 & 0.832973 \tabularnewline
30 & 0.051902 & 0.6141 & 0.27007 \tabularnewline
31 & 0.081205 & 0.9608 & 0.169147 \tabularnewline
32 & 0.150023 & 1.7751 & 0.039028 \tabularnewline
33 & 0.082028 & 0.9706 & 0.166719 \tabularnewline
34 & 0.002546 & 0.0301 & 0.488005 \tabularnewline
35 & -0.012307 & -0.1456 & 0.557782 \tabularnewline
36 & 0.029907 & 0.3539 & 0.361984 \tabularnewline
37 & -0.045865 & -0.5427 & 0.705895 \tabularnewline
38 & -0.114743 & -1.3577 & 0.911621 \tabularnewline
39 & -0.071586 & -0.847 & 0.800785 \tabularnewline
40 & 0.004892 & 0.0579 & 0.476962 \tabularnewline
41 & -0.056525 & -0.6688 & 0.747641 \tabularnewline
42 & 0.023274 & 0.2754 & 0.391714 \tabularnewline
43 & -0.027192 & -0.3217 & 0.625933 \tabularnewline
44 & 0.063792 & 0.7548 & 0.22582 \tabularnewline
45 & 0.029171 & 0.3452 & 0.365249 \tabularnewline
46 & 0.045227 & 0.5351 & 0.296702 \tabularnewline
47 & -0.04361 & -0.516 & 0.696664 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4744&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]11.8322[/C][C]0[/C][/ROW]
[ROW][C]1[/C][C]0.31795[/C][C]3.762[/C][C]0.000124[/C][/ROW]
[ROW][C]2[/C][C]0.102629[/C][C]1.2143[/C][C]0.113335[/C][/ROW]
[ROW][C]3[/C][C]0.097911[/C][C]1.1585[/C][C]0.124317[/C][/ROW]
[ROW][C]4[/C][C]-0.063666[/C][C]-0.7533[/C][C]0.773736[/C][/ROW]
[ROW][C]5[/C][C]-0.234806[/C][C]-2.7783[/C][C]0.996892[/C][/ROW]
[ROW][C]6[/C][C]-0.129779[/C][C]-1.5356[/C][C]0.93655[/C][/ROW]
[ROW][C]7[/C][C]-0.074969[/C][C]-0.887[/C][C]0.811713[/C][/ROW]
[ROW][C]8[/C][C]-0.07924[/C][C]-0.9376[/C][C]0.824962[/C][/ROW]
[ROW][C]9[/C][C]-0.009676[/C][C]-0.1145[/C][C]0.545493[/C][/ROW]
[ROW][C]10[/C][C]0.101514[/C][C]1.2011[/C][C]0.115865[/C][/ROW]
[ROW][C]11[/C][C]0.13832[/C][C]1.6366[/C][C]0.051978[/C][/ROW]
[ROW][C]12[/C][C]0.141296[/C][C]1.6718[/C][C]0.048395[/C][/ROW]
[ROW][C]13[/C][C]0.210952[/C][C]2.496[/C][C]0.00686[/C][/ROW]
[ROW][C]14[/C][C]0.139577[/C][C]1.6515[/C][C]0.050439[/C][/ROW]
[ROW][C]15[/C][C]-0.076897[/C][C]-0.9099[/C][C]0.817769[/C][/ROW]
[ROW][C]16[/C][C]-0.003376[/C][C]-0.0399[/C][C]0.515905[/C][/ROW]
[ROW][C]17[/C][C]-0.038346[/C][C]-0.4537[/C][C]0.67463[/C][/ROW]
[ROW][C]18[/C][C]0.050375[/C][C]0.596[/C][C]0.276053[/C][/ROW]
[ROW][C]19[/C][C]0.094056[/C][C]1.1129[/C][C]0.133833[/C][/ROW]
[ROW][C]20[/C][C]0.118775[/C][C]1.4054[/C][C]0.081065[/C][/ROW]
[ROW][C]21[/C][C]0.086122[/C][C]1.019[/C][C]0.154977[/C][/ROW]
[ROW][C]22[/C][C]0.056684[/C][C]0.6707[/C][C]0.251761[/C][/ROW]
[ROW][C]23[/C][C]-0.045398[/C][C]-0.5372[/C][C]0.703994[/C][/ROW]
[ROW][C]24[/C][C]-0.051222[/C][C]-0.6061[/C][C]0.727275[/C][/ROW]
[ROW][C]25[/C][C]-0.094315[/C][C]-1.1159[/C][C]0.866821[/C][/ROW]
[ROW][C]26[/C][C]-0.061892[/C][C]-0.7323[/C][C]0.767399[/C][/ROW]
[ROW][C]27[/C][C]0.012782[/C][C]0.1512[/C][C]0.440005[/C][/ROW]
[ROW][C]28[/C][C]-0.055054[/C][C]-0.6514[/C][C]0.742076[/C][/ROW]
[ROW][C]29[/C][C]-0.081923[/C][C]-0.9693[/C][C]0.832973[/C][/ROW]
[ROW][C]30[/C][C]0.051902[/C][C]0.6141[/C][C]0.27007[/C][/ROW]
[ROW][C]31[/C][C]0.081205[/C][C]0.9608[/C][C]0.169147[/C][/ROW]
[ROW][C]32[/C][C]0.150023[/C][C]1.7751[/C][C]0.039028[/C][/ROW]
[ROW][C]33[/C][C]0.082028[/C][C]0.9706[/C][C]0.166719[/C][/ROW]
[ROW][C]34[/C][C]0.002546[/C][C]0.0301[/C][C]0.488005[/C][/ROW]
[ROW][C]35[/C][C]-0.012307[/C][C]-0.1456[/C][C]0.557782[/C][/ROW]
[ROW][C]36[/C][C]0.029907[/C][C]0.3539[/C][C]0.361984[/C][/ROW]
[ROW][C]37[/C][C]-0.045865[/C][C]-0.5427[/C][C]0.705895[/C][/ROW]
[ROW][C]38[/C][C]-0.114743[/C][C]-1.3577[/C][C]0.911621[/C][/ROW]
[ROW][C]39[/C][C]-0.071586[/C][C]-0.847[/C][C]0.800785[/C][/ROW]
[ROW][C]40[/C][C]0.004892[/C][C]0.0579[/C][C]0.476962[/C][/ROW]
[ROW][C]41[/C][C]-0.056525[/C][C]-0.6688[/C][C]0.747641[/C][/ROW]
[ROW][C]42[/C][C]0.023274[/C][C]0.2754[/C][C]0.391714[/C][/ROW]
[ROW][C]43[/C][C]-0.027192[/C][C]-0.3217[/C][C]0.625933[/C][/ROW]
[ROW][C]44[/C][C]0.063792[/C][C]0.7548[/C][C]0.22582[/C][/ROW]
[ROW][C]45[/C][C]0.029171[/C][C]0.3452[/C][C]0.365249[/C][/ROW]
[ROW][C]46[/C][C]0.045227[/C][C]0.5351[/C][C]0.296702[/C][/ROW]
[ROW][C]47[/C][C]-0.04361[/C][C]-0.516[/C][C]0.696664[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4744&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4744&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
0111.83220
10.317953.7620.000124
20.1026291.21430.113335
30.0979111.15850.124317
4-0.063666-0.75330.773736
5-0.234806-2.77830.996892
6-0.129779-1.53560.93655
7-0.074969-0.8870.811713
8-0.07924-0.93760.824962
9-0.009676-0.11450.545493
100.1015141.20110.115865
110.138321.63660.051978
120.1412961.67180.048395
130.2109522.4960.00686
140.1395771.65150.050439
15-0.076897-0.90990.817769
16-0.003376-0.03990.515905
17-0.038346-0.45370.67463
180.0503750.5960.276053
190.0940561.11290.133833
200.1187751.40540.081065
210.0861221.0190.154977
220.0566840.67070.251761
23-0.045398-0.53720.703994
24-0.051222-0.60610.727275
25-0.094315-1.11590.866821
26-0.061892-0.73230.767399
270.0127820.15120.440005
28-0.055054-0.65140.742076
29-0.081923-0.96930.832973
300.0519020.61410.27007
310.0812050.96080.169147
320.1500231.77510.039028
330.0820280.97060.166719
340.0025460.03010.488005
35-0.012307-0.14560.557782
360.0299070.35390.361984
37-0.045865-0.54270.705895
38-0.114743-1.35770.911621
39-0.071586-0.8470.800785
400.0048920.05790.476962
41-0.056525-0.66880.747641
420.0232740.27540.391714
43-0.027192-0.32170.625933
440.0637920.75480.22582
450.0291710.34520.365249
460.0452270.53510.296702
47-0.04361-0.5160.696664







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
00.317953.7620.000124
10.0017090.02020.491946
20.0720790.85290.197599
3-0.129135-1.52790.935608
4-0.207224-2.45190.992279
50.0026170.0310.48767
6-0.003166-0.03750.514913
7-0.017184-0.20330.580411
80.0056410.06670.473442
90.0666140.78820.215959
100.0836390.98960.16203
110.0649450.76840.221762
120.1312371.55280.061362
130.0269770.31920.375028
14-0.139605-1.65180.949595
150.0843190.99770.16008
16-0.007606-0.090.53579
170.2055122.43170.008147
180.0921871.09080.138625
190.0453590.53670.296167
200.0201190.23810.406094
21-0.011963-0.14150.556179
22-0.080108-0.94790.827581
23-0.02051-0.24270.595697
24-0.074508-0.88160.810247
250.0174830.20690.418211
260.0584190.69120.245286
27-0.070767-0.83730.798081
28-0.106128-1.25570.894345
29-0.001253-0.01480.505905
300.0043240.05120.479636
310.0834160.9870.162676
32-0.046543-0.55070.708642
33-0.093469-1.10590.864676
340.0209410.24780.402333
350.120831.42970.077518
360.0063190.07480.470253
37-0.141324-1.67220.951637
38-0.05889-0.69680.756457
390.0311780.36890.356377
400.0170940.20230.420005
410.1246881.47530.071185
42-0.156777-1.8550.967151
430.0837320.99070.161762
44-0.025007-0.29590.616122
450.0422920.50040.308786
46-0.03221-0.38110.648151
474.1e-055e-040.499805

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
0 & 0.31795 & 3.762 & 0.000124 \tabularnewline
1 & 0.001709 & 0.0202 & 0.491946 \tabularnewline
2 & 0.072079 & 0.8529 & 0.197599 \tabularnewline
3 & -0.129135 & -1.5279 & 0.935608 \tabularnewline
4 & -0.207224 & -2.4519 & 0.992279 \tabularnewline
5 & 0.002617 & 0.031 & 0.48767 \tabularnewline
6 & -0.003166 & -0.0375 & 0.514913 \tabularnewline
7 & -0.017184 & -0.2033 & 0.580411 \tabularnewline
8 & 0.005641 & 0.0667 & 0.473442 \tabularnewline
9 & 0.066614 & 0.7882 & 0.215959 \tabularnewline
10 & 0.083639 & 0.9896 & 0.16203 \tabularnewline
11 & 0.064945 & 0.7684 & 0.221762 \tabularnewline
12 & 0.131237 & 1.5528 & 0.061362 \tabularnewline
13 & 0.026977 & 0.3192 & 0.375028 \tabularnewline
14 & -0.139605 & -1.6518 & 0.949595 \tabularnewline
15 & 0.084319 & 0.9977 & 0.16008 \tabularnewline
16 & -0.007606 & -0.09 & 0.53579 \tabularnewline
17 & 0.205512 & 2.4317 & 0.008147 \tabularnewline
18 & 0.092187 & 1.0908 & 0.138625 \tabularnewline
19 & 0.045359 & 0.5367 & 0.296167 \tabularnewline
20 & 0.020119 & 0.2381 & 0.406094 \tabularnewline
21 & -0.011963 & -0.1415 & 0.556179 \tabularnewline
22 & -0.080108 & -0.9479 & 0.827581 \tabularnewline
23 & -0.02051 & -0.2427 & 0.595697 \tabularnewline
24 & -0.074508 & -0.8816 & 0.810247 \tabularnewline
25 & 0.017483 & 0.2069 & 0.418211 \tabularnewline
26 & 0.058419 & 0.6912 & 0.245286 \tabularnewline
27 & -0.070767 & -0.8373 & 0.798081 \tabularnewline
28 & -0.106128 & -1.2557 & 0.894345 \tabularnewline
29 & -0.001253 & -0.0148 & 0.505905 \tabularnewline
30 & 0.004324 & 0.0512 & 0.479636 \tabularnewline
31 & 0.083416 & 0.987 & 0.162676 \tabularnewline
32 & -0.046543 & -0.5507 & 0.708642 \tabularnewline
33 & -0.093469 & -1.1059 & 0.864676 \tabularnewline
34 & 0.020941 & 0.2478 & 0.402333 \tabularnewline
35 & 0.12083 & 1.4297 & 0.077518 \tabularnewline
36 & 0.006319 & 0.0748 & 0.470253 \tabularnewline
37 & -0.141324 & -1.6722 & 0.951637 \tabularnewline
38 & -0.05889 & -0.6968 & 0.756457 \tabularnewline
39 & 0.031178 & 0.3689 & 0.356377 \tabularnewline
40 & 0.017094 & 0.2023 & 0.420005 \tabularnewline
41 & 0.124688 & 1.4753 & 0.071185 \tabularnewline
42 & -0.156777 & -1.855 & 0.967151 \tabularnewline
43 & 0.083732 & 0.9907 & 0.161762 \tabularnewline
44 & -0.025007 & -0.2959 & 0.616122 \tabularnewline
45 & 0.042292 & 0.5004 & 0.308786 \tabularnewline
46 & -0.03221 & -0.3811 & 0.648151 \tabularnewline
47 & 4.1e-05 & 5e-04 & 0.499805 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4744&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]0.31795[/C][C]3.762[/C][C]0.000124[/C][/ROW]
[ROW][C]1[/C][C]0.001709[/C][C]0.0202[/C][C]0.491946[/C][/ROW]
[ROW][C]2[/C][C]0.072079[/C][C]0.8529[/C][C]0.197599[/C][/ROW]
[ROW][C]3[/C][C]-0.129135[/C][C]-1.5279[/C][C]0.935608[/C][/ROW]
[ROW][C]4[/C][C]-0.207224[/C][C]-2.4519[/C][C]0.992279[/C][/ROW]
[ROW][C]5[/C][C]0.002617[/C][C]0.031[/C][C]0.48767[/C][/ROW]
[ROW][C]6[/C][C]-0.003166[/C][C]-0.0375[/C][C]0.514913[/C][/ROW]
[ROW][C]7[/C][C]-0.017184[/C][C]-0.2033[/C][C]0.580411[/C][/ROW]
[ROW][C]8[/C][C]0.005641[/C][C]0.0667[/C][C]0.473442[/C][/ROW]
[ROW][C]9[/C][C]0.066614[/C][C]0.7882[/C][C]0.215959[/C][/ROW]
[ROW][C]10[/C][C]0.083639[/C][C]0.9896[/C][C]0.16203[/C][/ROW]
[ROW][C]11[/C][C]0.064945[/C][C]0.7684[/C][C]0.221762[/C][/ROW]
[ROW][C]12[/C][C]0.131237[/C][C]1.5528[/C][C]0.061362[/C][/ROW]
[ROW][C]13[/C][C]0.026977[/C][C]0.3192[/C][C]0.375028[/C][/ROW]
[ROW][C]14[/C][C]-0.139605[/C][C]-1.6518[/C][C]0.949595[/C][/ROW]
[ROW][C]15[/C][C]0.084319[/C][C]0.9977[/C][C]0.16008[/C][/ROW]
[ROW][C]16[/C][C]-0.007606[/C][C]-0.09[/C][C]0.53579[/C][/ROW]
[ROW][C]17[/C][C]0.205512[/C][C]2.4317[/C][C]0.008147[/C][/ROW]
[ROW][C]18[/C][C]0.092187[/C][C]1.0908[/C][C]0.138625[/C][/ROW]
[ROW][C]19[/C][C]0.045359[/C][C]0.5367[/C][C]0.296167[/C][/ROW]
[ROW][C]20[/C][C]0.020119[/C][C]0.2381[/C][C]0.406094[/C][/ROW]
[ROW][C]21[/C][C]-0.011963[/C][C]-0.1415[/C][C]0.556179[/C][/ROW]
[ROW][C]22[/C][C]-0.080108[/C][C]-0.9479[/C][C]0.827581[/C][/ROW]
[ROW][C]23[/C][C]-0.02051[/C][C]-0.2427[/C][C]0.595697[/C][/ROW]
[ROW][C]24[/C][C]-0.074508[/C][C]-0.8816[/C][C]0.810247[/C][/ROW]
[ROW][C]25[/C][C]0.017483[/C][C]0.2069[/C][C]0.418211[/C][/ROW]
[ROW][C]26[/C][C]0.058419[/C][C]0.6912[/C][C]0.245286[/C][/ROW]
[ROW][C]27[/C][C]-0.070767[/C][C]-0.8373[/C][C]0.798081[/C][/ROW]
[ROW][C]28[/C][C]-0.106128[/C][C]-1.2557[/C][C]0.894345[/C][/ROW]
[ROW][C]29[/C][C]-0.001253[/C][C]-0.0148[/C][C]0.505905[/C][/ROW]
[ROW][C]30[/C][C]0.004324[/C][C]0.0512[/C][C]0.479636[/C][/ROW]
[ROW][C]31[/C][C]0.083416[/C][C]0.987[/C][C]0.162676[/C][/ROW]
[ROW][C]32[/C][C]-0.046543[/C][C]-0.5507[/C][C]0.708642[/C][/ROW]
[ROW][C]33[/C][C]-0.093469[/C][C]-1.1059[/C][C]0.864676[/C][/ROW]
[ROW][C]34[/C][C]0.020941[/C][C]0.2478[/C][C]0.402333[/C][/ROW]
[ROW][C]35[/C][C]0.12083[/C][C]1.4297[/C][C]0.077518[/C][/ROW]
[ROW][C]36[/C][C]0.006319[/C][C]0.0748[/C][C]0.470253[/C][/ROW]
[ROW][C]37[/C][C]-0.141324[/C][C]-1.6722[/C][C]0.951637[/C][/ROW]
[ROW][C]38[/C][C]-0.05889[/C][C]-0.6968[/C][C]0.756457[/C][/ROW]
[ROW][C]39[/C][C]0.031178[/C][C]0.3689[/C][C]0.356377[/C][/ROW]
[ROW][C]40[/C][C]0.017094[/C][C]0.2023[/C][C]0.420005[/C][/ROW]
[ROW][C]41[/C][C]0.124688[/C][C]1.4753[/C][C]0.071185[/C][/ROW]
[ROW][C]42[/C][C]-0.156777[/C][C]-1.855[/C][C]0.967151[/C][/ROW]
[ROW][C]43[/C][C]0.083732[/C][C]0.9907[/C][C]0.161762[/C][/ROW]
[ROW][C]44[/C][C]-0.025007[/C][C]-0.2959[/C][C]0.616122[/C][/ROW]
[ROW][C]45[/C][C]0.042292[/C][C]0.5004[/C][C]0.308786[/C][/ROW]
[ROW][C]46[/C][C]-0.03221[/C][C]-0.3811[/C][C]0.648151[/C][/ROW]
[ROW][C]47[/C][C]4.1e-05[/C][C]5e-04[/C][C]0.499805[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4744&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4744&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
00.317953.7620.000124
10.0017090.02020.491946
20.0720790.85290.197599
3-0.129135-1.52790.935608
4-0.207224-2.45190.992279
50.0026170.0310.48767
6-0.003166-0.03750.514913
7-0.017184-0.20330.580411
80.0056410.06670.473442
90.0666140.78820.215959
100.0836390.98960.16203
110.0649450.76840.221762
120.1312371.55280.061362
130.0269770.31920.375028
14-0.139605-1.65180.949595
150.0843190.99770.16008
16-0.007606-0.090.53579
170.2055122.43170.008147
180.0921871.09080.138625
190.0453590.53670.296167
200.0201190.23810.406094
21-0.011963-0.14150.556179
22-0.080108-0.94790.827581
23-0.02051-0.24270.595697
24-0.074508-0.88160.810247
250.0174830.20690.418211
260.0584190.69120.245286
27-0.070767-0.83730.798081
28-0.106128-1.25570.894345
29-0.001253-0.01480.505905
300.0043240.05120.479636
310.0834160.9870.162676
32-0.046543-0.55070.708642
33-0.093469-1.10590.864676
340.0209410.24780.402333
350.120831.42970.077518
360.0063190.07480.470253
37-0.141324-1.67220.951637
38-0.05889-0.69680.756457
390.0311780.36890.356377
400.0170940.20230.420005
410.1246881.47530.071185
42-0.156777-1.8550.967151
430.0837320.99070.161762
44-0.025007-0.29590.616122
450.0422920.50040.308786
46-0.03221-0.38110.648151
474.1e-055e-040.499805



Parameters (Session):
par1 = 48 ; par2 = 0.0 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 0.0 ; par3 = 1 ; 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 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')