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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationThu, 11 Dec 2008 08:08:30 -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/11/t12290081788ip3eam0o7xfejw.htm/, Retrieved Sat, 18 May 2024 21:19:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32297, Retrieved Sat, 18 May 2024 21:19:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [cor zonder parame...] [2008-12-11 14:30:03] [e43247bc0ab243a5af99ac7f55ba0b41]
-    D  [(Partial) Autocorrelation Function] [vrouwen zonder pa...] [2008-12-11 14:46:12] [e43247bc0ab243a5af99ac7f55ba0b41]
-   PD      [(Partial) Autocorrelation Function] [werkl vrouw met j...] [2008-12-11 15:08:30] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
-   P         [(Partial) Autocorrelation Function] [correlatie met ju...] [2008-12-17 17:55:25] [e43247bc0ab243a5af99ac7f55ba0b41]
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Dataseries X:
9.0
9.1
8.7
8.2
7.9
7.9
9.1
9.4
9.5
9.1
9.0
9.3
9.9
9.8
9.4
8.3
8.0
8.5
10.4
11.1
10.9
9.9
9.2
9.2
9.5
9.6
9.5
9.1
8.9
9.0
10.1
10.3
10.2
9.6
9.2
9.3
9.4
9.4
9.2
9.0
9.0
9.0
9.8
10.0
9.9
9.3
9.0
9.0
9.1
9.1
9.1
9.2
8.8
8.3
8.4
8.1
7.8
7.9
7.9
8.0
7.9
7.5
7.2
6.9
6.6
6.7
7.3
7.5




Summary of computational 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 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32297&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32297&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32297&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' @ 72.249.127.135







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1581671.16230.125116
2-0.116559-0.85650.197745
3-0.401527-2.95060.002341
4-0.346865-2.54890.00684
5-0.158684-1.16610.124352
60.0920470.67640.250836
70.1924821.41440.081485
80.2430181.78580.039873
90.1150490.84540.2008
10-0.072058-0.52950.29931
11-0.016928-0.12440.450733
12-0.199394-1.46520.074327
13-0.100744-0.74030.231159
140.0830930.61060.27201
150.0126830.09320.463043
160.0505620.37160.35584
170.0234730.17250.43185
180.0384610.28260.38927
19-0.031396-0.23070.409206
20-0.080259-0.58980.278898
21-0.06356-0.46710.321166
220.003070.02260.491041
230.0857190.62990.265706
240.0662820.48710.314089
250.0740760.54430.294221
260.0632110.46450.322077
27-0.140507-1.03250.153218
28-0.189288-1.3910.084969
29-0.136509-1.00310.160135
300.0942380.69250.245795
310.0663320.48740.313959
320.2589421.90280.0312
330.1017780.74790.228879
340.0494380.36330.358902
35-0.213665-1.57010.061116
36-0.284393-2.08990.020678
37-0.059871-0.440.33086
380.0411360.30230.381797
390.147151.08130.142179
400.164091.20580.116574
410.0858310.63070.265441
42-0.11684-0.85860.197179
430.0040340.02960.48823
44-0.113157-0.83150.204667
45-0.065782-0.48340.315384
46-0.010288-0.07560.470009
470.0185650.13640.445996
480.1182430.86890.194371

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.158167 & 1.1623 & 0.125116 \tabularnewline
2 & -0.116559 & -0.8565 & 0.197745 \tabularnewline
3 & -0.401527 & -2.9506 & 0.002341 \tabularnewline
4 & -0.346865 & -2.5489 & 0.00684 \tabularnewline
5 & -0.158684 & -1.1661 & 0.124352 \tabularnewline
6 & 0.092047 & 0.6764 & 0.250836 \tabularnewline
7 & 0.192482 & 1.4144 & 0.081485 \tabularnewline
8 & 0.243018 & 1.7858 & 0.039873 \tabularnewline
9 & 0.115049 & 0.8454 & 0.2008 \tabularnewline
10 & -0.072058 & -0.5295 & 0.29931 \tabularnewline
11 & -0.016928 & -0.1244 & 0.450733 \tabularnewline
12 & -0.199394 & -1.4652 & 0.074327 \tabularnewline
13 & -0.100744 & -0.7403 & 0.231159 \tabularnewline
14 & 0.083093 & 0.6106 & 0.27201 \tabularnewline
15 & 0.012683 & 0.0932 & 0.463043 \tabularnewline
16 & 0.050562 & 0.3716 & 0.35584 \tabularnewline
17 & 0.023473 & 0.1725 & 0.43185 \tabularnewline
18 & 0.038461 & 0.2826 & 0.38927 \tabularnewline
19 & -0.031396 & -0.2307 & 0.409206 \tabularnewline
20 & -0.080259 & -0.5898 & 0.278898 \tabularnewline
21 & -0.06356 & -0.4671 & 0.321166 \tabularnewline
22 & 0.00307 & 0.0226 & 0.491041 \tabularnewline
23 & 0.085719 & 0.6299 & 0.265706 \tabularnewline
24 & 0.066282 & 0.4871 & 0.314089 \tabularnewline
25 & 0.074076 & 0.5443 & 0.294221 \tabularnewline
26 & 0.063211 & 0.4645 & 0.322077 \tabularnewline
27 & -0.140507 & -1.0325 & 0.153218 \tabularnewline
28 & -0.189288 & -1.391 & 0.084969 \tabularnewline
29 & -0.136509 & -1.0031 & 0.160135 \tabularnewline
30 & 0.094238 & 0.6925 & 0.245795 \tabularnewline
31 & 0.066332 & 0.4874 & 0.313959 \tabularnewline
32 & 0.258942 & 1.9028 & 0.0312 \tabularnewline
33 & 0.101778 & 0.7479 & 0.228879 \tabularnewline
34 & 0.049438 & 0.3633 & 0.358902 \tabularnewline
35 & -0.213665 & -1.5701 & 0.061116 \tabularnewline
36 & -0.284393 & -2.0899 & 0.020678 \tabularnewline
37 & -0.059871 & -0.44 & 0.33086 \tabularnewline
38 & 0.041136 & 0.3023 & 0.381797 \tabularnewline
39 & 0.14715 & 1.0813 & 0.142179 \tabularnewline
40 & 0.16409 & 1.2058 & 0.116574 \tabularnewline
41 & 0.085831 & 0.6307 & 0.265441 \tabularnewline
42 & -0.11684 & -0.8586 & 0.197179 \tabularnewline
43 & 0.004034 & 0.0296 & 0.48823 \tabularnewline
44 & -0.113157 & -0.8315 & 0.204667 \tabularnewline
45 & -0.065782 & -0.4834 & 0.315384 \tabularnewline
46 & -0.010288 & -0.0756 & 0.470009 \tabularnewline
47 & 0.018565 & 0.1364 & 0.445996 \tabularnewline
48 & 0.118243 & 0.8689 & 0.194371 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32297&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]0.158167[/C][C]1.1623[/C][C]0.125116[/C][/ROW]
[ROW][C]2[/C][C]-0.116559[/C][C]-0.8565[/C][C]0.197745[/C][/ROW]
[ROW][C]3[/C][C]-0.401527[/C][C]-2.9506[/C][C]0.002341[/C][/ROW]
[ROW][C]4[/C][C]-0.346865[/C][C]-2.5489[/C][C]0.00684[/C][/ROW]
[ROW][C]5[/C][C]-0.158684[/C][C]-1.1661[/C][C]0.124352[/C][/ROW]
[ROW][C]6[/C][C]0.092047[/C][C]0.6764[/C][C]0.250836[/C][/ROW]
[ROW][C]7[/C][C]0.192482[/C][C]1.4144[/C][C]0.081485[/C][/ROW]
[ROW][C]8[/C][C]0.243018[/C][C]1.7858[/C][C]0.039873[/C][/ROW]
[ROW][C]9[/C][C]0.115049[/C][C]0.8454[/C][C]0.2008[/C][/ROW]
[ROW][C]10[/C][C]-0.072058[/C][C]-0.5295[/C][C]0.29931[/C][/ROW]
[ROW][C]11[/C][C]-0.016928[/C][C]-0.1244[/C][C]0.450733[/C][/ROW]
[ROW][C]12[/C][C]-0.199394[/C][C]-1.4652[/C][C]0.074327[/C][/ROW]
[ROW][C]13[/C][C]-0.100744[/C][C]-0.7403[/C][C]0.231159[/C][/ROW]
[ROW][C]14[/C][C]0.083093[/C][C]0.6106[/C][C]0.27201[/C][/ROW]
[ROW][C]15[/C][C]0.012683[/C][C]0.0932[/C][C]0.463043[/C][/ROW]
[ROW][C]16[/C][C]0.050562[/C][C]0.3716[/C][C]0.35584[/C][/ROW]
[ROW][C]17[/C][C]0.023473[/C][C]0.1725[/C][C]0.43185[/C][/ROW]
[ROW][C]18[/C][C]0.038461[/C][C]0.2826[/C][C]0.38927[/C][/ROW]
[ROW][C]19[/C][C]-0.031396[/C][C]-0.2307[/C][C]0.409206[/C][/ROW]
[ROW][C]20[/C][C]-0.080259[/C][C]-0.5898[/C][C]0.278898[/C][/ROW]
[ROW][C]21[/C][C]-0.06356[/C][C]-0.4671[/C][C]0.321166[/C][/ROW]
[ROW][C]22[/C][C]0.00307[/C][C]0.0226[/C][C]0.491041[/C][/ROW]
[ROW][C]23[/C][C]0.085719[/C][C]0.6299[/C][C]0.265706[/C][/ROW]
[ROW][C]24[/C][C]0.066282[/C][C]0.4871[/C][C]0.314089[/C][/ROW]
[ROW][C]25[/C][C]0.074076[/C][C]0.5443[/C][C]0.294221[/C][/ROW]
[ROW][C]26[/C][C]0.063211[/C][C]0.4645[/C][C]0.322077[/C][/ROW]
[ROW][C]27[/C][C]-0.140507[/C][C]-1.0325[/C][C]0.153218[/C][/ROW]
[ROW][C]28[/C][C]-0.189288[/C][C]-1.391[/C][C]0.084969[/C][/ROW]
[ROW][C]29[/C][C]-0.136509[/C][C]-1.0031[/C][C]0.160135[/C][/ROW]
[ROW][C]30[/C][C]0.094238[/C][C]0.6925[/C][C]0.245795[/C][/ROW]
[ROW][C]31[/C][C]0.066332[/C][C]0.4874[/C][C]0.313959[/C][/ROW]
[ROW][C]32[/C][C]0.258942[/C][C]1.9028[/C][C]0.0312[/C][/ROW]
[ROW][C]33[/C][C]0.101778[/C][C]0.7479[/C][C]0.228879[/C][/ROW]
[ROW][C]34[/C][C]0.049438[/C][C]0.3633[/C][C]0.358902[/C][/ROW]
[ROW][C]35[/C][C]-0.213665[/C][C]-1.5701[/C][C]0.061116[/C][/ROW]
[ROW][C]36[/C][C]-0.284393[/C][C]-2.0899[/C][C]0.020678[/C][/ROW]
[ROW][C]37[/C][C]-0.059871[/C][C]-0.44[/C][C]0.33086[/C][/ROW]
[ROW][C]38[/C][C]0.041136[/C][C]0.3023[/C][C]0.381797[/C][/ROW]
[ROW][C]39[/C][C]0.14715[/C][C]1.0813[/C][C]0.142179[/C][/ROW]
[ROW][C]40[/C][C]0.16409[/C][C]1.2058[/C][C]0.116574[/C][/ROW]
[ROW][C]41[/C][C]0.085831[/C][C]0.6307[/C][C]0.265441[/C][/ROW]
[ROW][C]42[/C][C]-0.11684[/C][C]-0.8586[/C][C]0.197179[/C][/ROW]
[ROW][C]43[/C][C]0.004034[/C][C]0.0296[/C][C]0.48823[/C][/ROW]
[ROW][C]44[/C][C]-0.113157[/C][C]-0.8315[/C][C]0.204667[/C][/ROW]
[ROW][C]45[/C][C]-0.065782[/C][C]-0.4834[/C][C]0.315384[/C][/ROW]
[ROW][C]46[/C][C]-0.010288[/C][C]-0.0756[/C][C]0.470009[/C][/ROW]
[ROW][C]47[/C][C]0.018565[/C][C]0.1364[/C][C]0.445996[/C][/ROW]
[ROW][C]48[/C][C]0.118243[/C][C]0.8689[/C][C]0.194371[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32297&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32297&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
10.1581671.16230.125116
2-0.116559-0.85650.197745
3-0.401527-2.95060.002341
4-0.346865-2.54890.00684
5-0.158684-1.16610.124352
60.0920470.67640.250836
70.1924821.41440.081485
80.2430181.78580.039873
90.1150490.84540.2008
10-0.072058-0.52950.29931
11-0.016928-0.12440.450733
12-0.199394-1.46520.074327
13-0.100744-0.74030.231159
140.0830930.61060.27201
150.0126830.09320.463043
160.0505620.37160.35584
170.0234730.17250.43185
180.0384610.28260.38927
19-0.031396-0.23070.409206
20-0.080259-0.58980.278898
21-0.06356-0.46710.321166
220.003070.02260.491041
230.0857190.62990.265706
240.0662820.48710.314089
250.0740760.54430.294221
260.0632110.46450.322077
27-0.140507-1.03250.153218
28-0.189288-1.3910.084969
29-0.136509-1.00310.160135
300.0942380.69250.245795
310.0663320.48740.313959
320.2589421.90280.0312
330.1017780.74790.228879
340.0494380.36330.358902
35-0.213665-1.57010.061116
36-0.284393-2.08990.020678
37-0.059871-0.440.33086
380.0411360.30230.381797
390.147151.08130.142179
400.164091.20580.116574
410.0858310.63070.265441
42-0.11684-0.85860.197179
430.0040340.02960.48823
44-0.113157-0.83150.204667
45-0.065782-0.48340.315384
46-0.010288-0.07560.470009
470.0185650.13640.445996
480.1182430.86890.194371







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1581671.16230.125116
2-0.145208-1.06710.145347
3-0.374516-2.75210.004023
4-0.299496-2.20080.016022
5-0.248816-1.82840.036506
6-0.173677-1.27630.103663
7-0.172187-1.26530.105597
8-0.055202-0.40560.343302
9-0.03673-0.26990.39413
10-0.085083-0.62520.267226
110.1630841.19840.117994
12-0.062954-0.46260.32275
130.0027280.020.49204
140.194681.43060.079153
15-0.052218-0.38370.351345
16-0.007301-0.05370.478704
170.0012350.00910.496397
180.0361040.26530.39589
19-0.075448-0.55440.290788
20-0.131642-0.96740.168836
21-0.067602-0.49680.310685
22-0.149255-1.09680.138799
230.0013330.00980.496111
24-0.024245-0.17820.42963
25-0.014657-0.10770.457315
260.2409061.77030.041162
27-0.026517-0.19490.423118
28-0.067411-0.49540.311175
29-0.050498-0.37110.356014
300.0643510.47290.319103
31-0.197483-1.45120.076255
320.0353730.25990.397951
330.0497850.36580.357955
340.0539930.39680.346552
35-0.031892-0.23440.407796
36-0.106828-0.7850.217936
370.05610.41220.340896
380.0173050.12720.449642
39-0.031149-0.22890.409907
40-0.055755-0.40970.341818
41-0.031847-0.2340.407926
42-0.071683-0.52680.300258
430.0643470.47290.319113
44-0.096673-0.71040.240257
45-0.044018-0.32350.373796
460.0010250.00750.497009
47-0.015794-0.11610.454017
48-0.036744-0.270.39409

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.158167 & 1.1623 & 0.125116 \tabularnewline
2 & -0.145208 & -1.0671 & 0.145347 \tabularnewline
3 & -0.374516 & -2.7521 & 0.004023 \tabularnewline
4 & -0.299496 & -2.2008 & 0.016022 \tabularnewline
5 & -0.248816 & -1.8284 & 0.036506 \tabularnewline
6 & -0.173677 & -1.2763 & 0.103663 \tabularnewline
7 & -0.172187 & -1.2653 & 0.105597 \tabularnewline
8 & -0.055202 & -0.4056 & 0.343302 \tabularnewline
9 & -0.03673 & -0.2699 & 0.39413 \tabularnewline
10 & -0.085083 & -0.6252 & 0.267226 \tabularnewline
11 & 0.163084 & 1.1984 & 0.117994 \tabularnewline
12 & -0.062954 & -0.4626 & 0.32275 \tabularnewline
13 & 0.002728 & 0.02 & 0.49204 \tabularnewline
14 & 0.19468 & 1.4306 & 0.079153 \tabularnewline
15 & -0.052218 & -0.3837 & 0.351345 \tabularnewline
16 & -0.007301 & -0.0537 & 0.478704 \tabularnewline
17 & 0.001235 & 0.0091 & 0.496397 \tabularnewline
18 & 0.036104 & 0.2653 & 0.39589 \tabularnewline
19 & -0.075448 & -0.5544 & 0.290788 \tabularnewline
20 & -0.131642 & -0.9674 & 0.168836 \tabularnewline
21 & -0.067602 & -0.4968 & 0.310685 \tabularnewline
22 & -0.149255 & -1.0968 & 0.138799 \tabularnewline
23 & 0.001333 & 0.0098 & 0.496111 \tabularnewline
24 & -0.024245 & -0.1782 & 0.42963 \tabularnewline
25 & -0.014657 & -0.1077 & 0.457315 \tabularnewline
26 & 0.240906 & 1.7703 & 0.041162 \tabularnewline
27 & -0.026517 & -0.1949 & 0.423118 \tabularnewline
28 & -0.067411 & -0.4954 & 0.311175 \tabularnewline
29 & -0.050498 & -0.3711 & 0.356014 \tabularnewline
30 & 0.064351 & 0.4729 & 0.319103 \tabularnewline
31 & -0.197483 & -1.4512 & 0.076255 \tabularnewline
32 & 0.035373 & 0.2599 & 0.397951 \tabularnewline
33 & 0.049785 & 0.3658 & 0.357955 \tabularnewline
34 & 0.053993 & 0.3968 & 0.346552 \tabularnewline
35 & -0.031892 & -0.2344 & 0.407796 \tabularnewline
36 & -0.106828 & -0.785 & 0.217936 \tabularnewline
37 & 0.0561 & 0.4122 & 0.340896 \tabularnewline
38 & 0.017305 & 0.1272 & 0.449642 \tabularnewline
39 & -0.031149 & -0.2289 & 0.409907 \tabularnewline
40 & -0.055755 & -0.4097 & 0.341818 \tabularnewline
41 & -0.031847 & -0.234 & 0.407926 \tabularnewline
42 & -0.071683 & -0.5268 & 0.300258 \tabularnewline
43 & 0.064347 & 0.4729 & 0.319113 \tabularnewline
44 & -0.096673 & -0.7104 & 0.240257 \tabularnewline
45 & -0.044018 & -0.3235 & 0.373796 \tabularnewline
46 & 0.001025 & 0.0075 & 0.497009 \tabularnewline
47 & -0.015794 & -0.1161 & 0.454017 \tabularnewline
48 & -0.036744 & -0.27 & 0.39409 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32297&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]0.158167[/C][C]1.1623[/C][C]0.125116[/C][/ROW]
[ROW][C]2[/C][C]-0.145208[/C][C]-1.0671[/C][C]0.145347[/C][/ROW]
[ROW][C]3[/C][C]-0.374516[/C][C]-2.7521[/C][C]0.004023[/C][/ROW]
[ROW][C]4[/C][C]-0.299496[/C][C]-2.2008[/C][C]0.016022[/C][/ROW]
[ROW][C]5[/C][C]-0.248816[/C][C]-1.8284[/C][C]0.036506[/C][/ROW]
[ROW][C]6[/C][C]-0.173677[/C][C]-1.2763[/C][C]0.103663[/C][/ROW]
[ROW][C]7[/C][C]-0.172187[/C][C]-1.2653[/C][C]0.105597[/C][/ROW]
[ROW][C]8[/C][C]-0.055202[/C][C]-0.4056[/C][C]0.343302[/C][/ROW]
[ROW][C]9[/C][C]-0.03673[/C][C]-0.2699[/C][C]0.39413[/C][/ROW]
[ROW][C]10[/C][C]-0.085083[/C][C]-0.6252[/C][C]0.267226[/C][/ROW]
[ROW][C]11[/C][C]0.163084[/C][C]1.1984[/C][C]0.117994[/C][/ROW]
[ROW][C]12[/C][C]-0.062954[/C][C]-0.4626[/C][C]0.32275[/C][/ROW]
[ROW][C]13[/C][C]0.002728[/C][C]0.02[/C][C]0.49204[/C][/ROW]
[ROW][C]14[/C][C]0.19468[/C][C]1.4306[/C][C]0.079153[/C][/ROW]
[ROW][C]15[/C][C]-0.052218[/C][C]-0.3837[/C][C]0.351345[/C][/ROW]
[ROW][C]16[/C][C]-0.007301[/C][C]-0.0537[/C][C]0.478704[/C][/ROW]
[ROW][C]17[/C][C]0.001235[/C][C]0.0091[/C][C]0.496397[/C][/ROW]
[ROW][C]18[/C][C]0.036104[/C][C]0.2653[/C][C]0.39589[/C][/ROW]
[ROW][C]19[/C][C]-0.075448[/C][C]-0.5544[/C][C]0.290788[/C][/ROW]
[ROW][C]20[/C][C]-0.131642[/C][C]-0.9674[/C][C]0.168836[/C][/ROW]
[ROW][C]21[/C][C]-0.067602[/C][C]-0.4968[/C][C]0.310685[/C][/ROW]
[ROW][C]22[/C][C]-0.149255[/C][C]-1.0968[/C][C]0.138799[/C][/ROW]
[ROW][C]23[/C][C]0.001333[/C][C]0.0098[/C][C]0.496111[/C][/ROW]
[ROW][C]24[/C][C]-0.024245[/C][C]-0.1782[/C][C]0.42963[/C][/ROW]
[ROW][C]25[/C][C]-0.014657[/C][C]-0.1077[/C][C]0.457315[/C][/ROW]
[ROW][C]26[/C][C]0.240906[/C][C]1.7703[/C][C]0.041162[/C][/ROW]
[ROW][C]27[/C][C]-0.026517[/C][C]-0.1949[/C][C]0.423118[/C][/ROW]
[ROW][C]28[/C][C]-0.067411[/C][C]-0.4954[/C][C]0.311175[/C][/ROW]
[ROW][C]29[/C][C]-0.050498[/C][C]-0.3711[/C][C]0.356014[/C][/ROW]
[ROW][C]30[/C][C]0.064351[/C][C]0.4729[/C][C]0.319103[/C][/ROW]
[ROW][C]31[/C][C]-0.197483[/C][C]-1.4512[/C][C]0.076255[/C][/ROW]
[ROW][C]32[/C][C]0.035373[/C][C]0.2599[/C][C]0.397951[/C][/ROW]
[ROW][C]33[/C][C]0.049785[/C][C]0.3658[/C][C]0.357955[/C][/ROW]
[ROW][C]34[/C][C]0.053993[/C][C]0.3968[/C][C]0.346552[/C][/ROW]
[ROW][C]35[/C][C]-0.031892[/C][C]-0.2344[/C][C]0.407796[/C][/ROW]
[ROW][C]36[/C][C]-0.106828[/C][C]-0.785[/C][C]0.217936[/C][/ROW]
[ROW][C]37[/C][C]0.0561[/C][C]0.4122[/C][C]0.340896[/C][/ROW]
[ROW][C]38[/C][C]0.017305[/C][C]0.1272[/C][C]0.449642[/C][/ROW]
[ROW][C]39[/C][C]-0.031149[/C][C]-0.2289[/C][C]0.409907[/C][/ROW]
[ROW][C]40[/C][C]-0.055755[/C][C]-0.4097[/C][C]0.341818[/C][/ROW]
[ROW][C]41[/C][C]-0.031847[/C][C]-0.234[/C][C]0.407926[/C][/ROW]
[ROW][C]42[/C][C]-0.071683[/C][C]-0.5268[/C][C]0.300258[/C][/ROW]
[ROW][C]43[/C][C]0.064347[/C][C]0.4729[/C][C]0.319113[/C][/ROW]
[ROW][C]44[/C][C]-0.096673[/C][C]-0.7104[/C][C]0.240257[/C][/ROW]
[ROW][C]45[/C][C]-0.044018[/C][C]-0.3235[/C][C]0.373796[/C][/ROW]
[ROW][C]46[/C][C]0.001025[/C][C]0.0075[/C][C]0.497009[/C][/ROW]
[ROW][C]47[/C][C]-0.015794[/C][C]-0.1161[/C][C]0.454017[/C][/ROW]
[ROW][C]48[/C][C]-0.036744[/C][C]-0.27[/C][C]0.39409[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32297&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32297&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
10.1581671.16230.125116
2-0.145208-1.06710.145347
3-0.374516-2.75210.004023
4-0.299496-2.20080.016022
5-0.248816-1.82840.036506
6-0.173677-1.27630.103663
7-0.172187-1.26530.105597
8-0.055202-0.40560.343302
9-0.03673-0.26990.39413
10-0.085083-0.62520.267226
110.1630841.19840.117994
12-0.062954-0.46260.32275
130.0027280.020.49204
140.194681.43060.079153
15-0.052218-0.38370.351345
16-0.007301-0.05370.478704
170.0012350.00910.496397
180.0361040.26530.39589
19-0.075448-0.55440.290788
20-0.131642-0.96740.168836
21-0.067602-0.49680.310685
22-0.149255-1.09680.138799
230.0013330.00980.496111
24-0.024245-0.17820.42963
25-0.014657-0.10770.457315
260.2409061.77030.041162
27-0.026517-0.19490.423118
28-0.067411-0.49540.311175
29-0.050498-0.37110.356014
300.0643510.47290.319103
31-0.197483-1.45120.076255
320.0353730.25990.397951
330.0497850.36580.357955
340.0539930.39680.346552
35-0.031892-0.23440.407796
36-0.106828-0.7850.217936
370.05610.41220.340896
380.0173050.12720.449642
39-0.031149-0.22890.409907
40-0.055755-0.40970.341818
41-0.031847-0.2340.407926
42-0.071683-0.52680.300258
430.0643470.47290.319113
44-0.096673-0.71040.240257
45-0.044018-0.32350.373796
460.0010250.00750.497009
47-0.015794-0.11610.454017
48-0.036744-0.270.39409



Parameters (Session):
par1 = 48 ; par2 = 0.0 ; par3 = 2 ; par4 = 1 ; par5 = 12 ;
Parameters (R input):
par1 = 48 ; par2 = 0.0 ; par3 = 2 ; 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')