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Author's title

Gedifferentieerde autocorrelatiefunctie - omzetcijfers carrefour burcht - J...

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 13 May 2009 00:41:29 -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/13/t1242196955lghd1sgvw3ejxk1.htm/, Retrieved Thu, 31 Oct 2024 23:14:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39781, Retrieved Thu, 31 Oct 2024 23:14:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kernel Density Estimation] [dichtheidsgrafiek...] [2009-02-18 14:18:56] [92e5d5bf28178acf91a63035e9cc5b92]
- RMPD    [(Partial) Autocorrelation Function] [Gedifferentieerde...] [2009-05-13 06:41:29] [13980c6c3342d2be2ef42581b409ab4a] [Current]
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Dataseries X:
2291180
1971664
2193270
2197733
2345324
2195121
2170583
2241521
2154945
2912568
2392562
3336621
4080642
3735329
4018383
4171360
3855698
4101316
4199346
3959646
3960841
4784025
4105467
5929558
4048642
3828808
4268127
4171816
4004783
4295447
3968177
3918480
4040260
4530715
4103330
6025506
4632308
4133863
4519182
4151573
4486595
4504699
4180443
4222193
4373727
4734738
4403232
5903985
4414074
4061816
4504697
3994176
4114925
4485120
4171230
4476075
4179369
4823185
4585751
6110454
4279575
3782118
4098678
4065616
4413733
4481214
4345018
4294488
4361269
4535031
4318397
6040168




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=39781&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=39781&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39781&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
1-0.463381-3.90450.000106
20.0628470.52960.299036
30.0598890.50460.307689
4-0.146237-1.23220.110967
5-0.012261-0.10330.459002
60.1541531.29890.099088
7-0.072673-0.61240.27113
8-0.080776-0.68060.249161
90.1098860.92590.178813
10-0.033927-0.28590.387904
11-0.36951-3.11360.001332
120.692135.8320
13-0.437462-3.68610.000221
140.1496891.26130.105664
150.0156270.13170.447808
16-0.172399-1.45270.075362
170.041530.34990.363709
180.0967930.81560.20873
19-0.045414-0.38270.351554
20-0.047911-0.40370.343822
210.0605880.51050.305633
22-0.053255-0.44870.327493
23-0.198003-1.66840.04982
240.5098414.2962.7e-05
25-0.353296-2.97690.00199
260.1210061.01960.155687
27-0.002432-0.02050.491855
28-0.118657-0.99980.160395
290.0420160.3540.362183
300.0333030.28060.389909
31-0.042603-0.3590.360337
320.023920.20160.420421
330.01290.10870.456873
34-0.049811-0.41970.337979
35-0.146423-1.23380.110676
360.3480992.93310.002257
37-0.237594-2.0020.024553
380.1251741.05470.147561
39-0.050708-0.42730.335236
40-0.075558-0.63670.263195
410.0484190.4080.342255
420.0071350.06010.476114
43-0.01924-0.16210.435837
440.0018490.01560.493807
450.0270840.22820.410069
46-0.025453-0.21450.415398
47-0.073319-0.61780.269343
480.1281911.08020.141864

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.463381 & -3.9045 & 0.000106 \tabularnewline
2 & 0.062847 & 0.5296 & 0.299036 \tabularnewline
3 & 0.059889 & 0.5046 & 0.307689 \tabularnewline
4 & -0.146237 & -1.2322 & 0.110967 \tabularnewline
5 & -0.012261 & -0.1033 & 0.459002 \tabularnewline
6 & 0.154153 & 1.2989 & 0.099088 \tabularnewline
7 & -0.072673 & -0.6124 & 0.27113 \tabularnewline
8 & -0.080776 & -0.6806 & 0.249161 \tabularnewline
9 & 0.109886 & 0.9259 & 0.178813 \tabularnewline
10 & -0.033927 & -0.2859 & 0.387904 \tabularnewline
11 & -0.36951 & -3.1136 & 0.001332 \tabularnewline
12 & 0.69213 & 5.832 & 0 \tabularnewline
13 & -0.437462 & -3.6861 & 0.000221 \tabularnewline
14 & 0.149689 & 1.2613 & 0.105664 \tabularnewline
15 & 0.015627 & 0.1317 & 0.447808 \tabularnewline
16 & -0.172399 & -1.4527 & 0.075362 \tabularnewline
17 & 0.04153 & 0.3499 & 0.363709 \tabularnewline
18 & 0.096793 & 0.8156 & 0.20873 \tabularnewline
19 & -0.045414 & -0.3827 & 0.351554 \tabularnewline
20 & -0.047911 & -0.4037 & 0.343822 \tabularnewline
21 & 0.060588 & 0.5105 & 0.305633 \tabularnewline
22 & -0.053255 & -0.4487 & 0.327493 \tabularnewline
23 & -0.198003 & -1.6684 & 0.04982 \tabularnewline
24 & 0.509841 & 4.296 & 2.7e-05 \tabularnewline
25 & -0.353296 & -2.9769 & 0.00199 \tabularnewline
26 & 0.121006 & 1.0196 & 0.155687 \tabularnewline
27 & -0.002432 & -0.0205 & 0.491855 \tabularnewline
28 & -0.118657 & -0.9998 & 0.160395 \tabularnewline
29 & 0.042016 & 0.354 & 0.362183 \tabularnewline
30 & 0.033303 & 0.2806 & 0.389909 \tabularnewline
31 & -0.042603 & -0.359 & 0.360337 \tabularnewline
32 & 0.02392 & 0.2016 & 0.420421 \tabularnewline
33 & 0.0129 & 0.1087 & 0.456873 \tabularnewline
34 & -0.049811 & -0.4197 & 0.337979 \tabularnewline
35 & -0.146423 & -1.2338 & 0.110676 \tabularnewline
36 & 0.348099 & 2.9331 & 0.002257 \tabularnewline
37 & -0.237594 & -2.002 & 0.024553 \tabularnewline
38 & 0.125174 & 1.0547 & 0.147561 \tabularnewline
39 & -0.050708 & -0.4273 & 0.335236 \tabularnewline
40 & -0.075558 & -0.6367 & 0.263195 \tabularnewline
41 & 0.048419 & 0.408 & 0.342255 \tabularnewline
42 & 0.007135 & 0.0601 & 0.476114 \tabularnewline
43 & -0.01924 & -0.1621 & 0.435837 \tabularnewline
44 & 0.001849 & 0.0156 & 0.493807 \tabularnewline
45 & 0.027084 & 0.2282 & 0.410069 \tabularnewline
46 & -0.025453 & -0.2145 & 0.415398 \tabularnewline
47 & -0.073319 & -0.6178 & 0.269343 \tabularnewline
48 & 0.128191 & 1.0802 & 0.141864 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39781&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]-0.463381[/C][C]-3.9045[/C][C]0.000106[/C][/ROW]
[ROW][C]2[/C][C]0.062847[/C][C]0.5296[/C][C]0.299036[/C][/ROW]
[ROW][C]3[/C][C]0.059889[/C][C]0.5046[/C][C]0.307689[/C][/ROW]
[ROW][C]4[/C][C]-0.146237[/C][C]-1.2322[/C][C]0.110967[/C][/ROW]
[ROW][C]5[/C][C]-0.012261[/C][C]-0.1033[/C][C]0.459002[/C][/ROW]
[ROW][C]6[/C][C]0.154153[/C][C]1.2989[/C][C]0.099088[/C][/ROW]
[ROW][C]7[/C][C]-0.072673[/C][C]-0.6124[/C][C]0.27113[/C][/ROW]
[ROW][C]8[/C][C]-0.080776[/C][C]-0.6806[/C][C]0.249161[/C][/ROW]
[ROW][C]9[/C][C]0.109886[/C][C]0.9259[/C][C]0.178813[/C][/ROW]
[ROW][C]10[/C][C]-0.033927[/C][C]-0.2859[/C][C]0.387904[/C][/ROW]
[ROW][C]11[/C][C]-0.36951[/C][C]-3.1136[/C][C]0.001332[/C][/ROW]
[ROW][C]12[/C][C]0.69213[/C][C]5.832[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.437462[/C][C]-3.6861[/C][C]0.000221[/C][/ROW]
[ROW][C]14[/C][C]0.149689[/C][C]1.2613[/C][C]0.105664[/C][/ROW]
[ROW][C]15[/C][C]0.015627[/C][C]0.1317[/C][C]0.447808[/C][/ROW]
[ROW][C]16[/C][C]-0.172399[/C][C]-1.4527[/C][C]0.075362[/C][/ROW]
[ROW][C]17[/C][C]0.04153[/C][C]0.3499[/C][C]0.363709[/C][/ROW]
[ROW][C]18[/C][C]0.096793[/C][C]0.8156[/C][C]0.20873[/C][/ROW]
[ROW][C]19[/C][C]-0.045414[/C][C]-0.3827[/C][C]0.351554[/C][/ROW]
[ROW][C]20[/C][C]-0.047911[/C][C]-0.4037[/C][C]0.343822[/C][/ROW]
[ROW][C]21[/C][C]0.060588[/C][C]0.5105[/C][C]0.305633[/C][/ROW]
[ROW][C]22[/C][C]-0.053255[/C][C]-0.4487[/C][C]0.327493[/C][/ROW]
[ROW][C]23[/C][C]-0.198003[/C][C]-1.6684[/C][C]0.04982[/C][/ROW]
[ROW][C]24[/C][C]0.509841[/C][C]4.296[/C][C]2.7e-05[/C][/ROW]
[ROW][C]25[/C][C]-0.353296[/C][C]-2.9769[/C][C]0.00199[/C][/ROW]
[ROW][C]26[/C][C]0.121006[/C][C]1.0196[/C][C]0.155687[/C][/ROW]
[ROW][C]27[/C][C]-0.002432[/C][C]-0.0205[/C][C]0.491855[/C][/ROW]
[ROW][C]28[/C][C]-0.118657[/C][C]-0.9998[/C][C]0.160395[/C][/ROW]
[ROW][C]29[/C][C]0.042016[/C][C]0.354[/C][C]0.362183[/C][/ROW]
[ROW][C]30[/C][C]0.033303[/C][C]0.2806[/C][C]0.389909[/C][/ROW]
[ROW][C]31[/C][C]-0.042603[/C][C]-0.359[/C][C]0.360337[/C][/ROW]
[ROW][C]32[/C][C]0.02392[/C][C]0.2016[/C][C]0.420421[/C][/ROW]
[ROW][C]33[/C][C]0.0129[/C][C]0.1087[/C][C]0.456873[/C][/ROW]
[ROW][C]34[/C][C]-0.049811[/C][C]-0.4197[/C][C]0.337979[/C][/ROW]
[ROW][C]35[/C][C]-0.146423[/C][C]-1.2338[/C][C]0.110676[/C][/ROW]
[ROW][C]36[/C][C]0.348099[/C][C]2.9331[/C][C]0.002257[/C][/ROW]
[ROW][C]37[/C][C]-0.237594[/C][C]-2.002[/C][C]0.024553[/C][/ROW]
[ROW][C]38[/C][C]0.125174[/C][C]1.0547[/C][C]0.147561[/C][/ROW]
[ROW][C]39[/C][C]-0.050708[/C][C]-0.4273[/C][C]0.335236[/C][/ROW]
[ROW][C]40[/C][C]-0.075558[/C][C]-0.6367[/C][C]0.263195[/C][/ROW]
[ROW][C]41[/C][C]0.048419[/C][C]0.408[/C][C]0.342255[/C][/ROW]
[ROW][C]42[/C][C]0.007135[/C][C]0.0601[/C][C]0.476114[/C][/ROW]
[ROW][C]43[/C][C]-0.01924[/C][C]-0.1621[/C][C]0.435837[/C][/ROW]
[ROW][C]44[/C][C]0.001849[/C][C]0.0156[/C][C]0.493807[/C][/ROW]
[ROW][C]45[/C][C]0.027084[/C][C]0.2282[/C][C]0.410069[/C][/ROW]
[ROW][C]46[/C][C]-0.025453[/C][C]-0.2145[/C][C]0.415398[/C][/ROW]
[ROW][C]47[/C][C]-0.073319[/C][C]-0.6178[/C][C]0.269343[/C][/ROW]
[ROW][C]48[/C][C]0.128191[/C][C]1.0802[/C][C]0.141864[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39781&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39781&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
1-0.463381-3.90450.000106
20.0628470.52960.299036
30.0598890.50460.307689
4-0.146237-1.23220.110967
5-0.012261-0.10330.459002
60.1541531.29890.099088
7-0.072673-0.61240.27113
8-0.080776-0.68060.249161
90.1098860.92590.178813
10-0.033927-0.28590.387904
11-0.36951-3.11360.001332
120.692135.8320
13-0.437462-3.68610.000221
140.1496891.26130.105664
150.0156270.13170.447808
16-0.172399-1.45270.075362
170.041530.34990.363709
180.0967930.81560.20873
19-0.045414-0.38270.351554
20-0.047911-0.40370.343822
210.0605880.51050.305633
22-0.053255-0.44870.327493
23-0.198003-1.66840.04982
240.5098414.2962.7e-05
25-0.353296-2.97690.00199
260.1210061.01960.155687
27-0.002432-0.02050.491855
28-0.118657-0.99980.160395
290.0420160.3540.362183
300.0333030.28060.389909
31-0.042603-0.3590.360337
320.023920.20160.420421
330.01290.10870.456873
34-0.049811-0.41970.337979
35-0.146423-1.23380.110676
360.3480992.93310.002257
37-0.237594-2.0020.024553
380.1251741.05470.147561
39-0.050708-0.42730.335236
40-0.075558-0.63670.263195
410.0484190.4080.342255
420.0071350.06010.476114
43-0.01924-0.16210.435837
440.0018490.01560.493807
450.0270840.22820.410069
46-0.025453-0.21450.415398
47-0.073319-0.61780.269343
480.1281911.08020.141864







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.463381-3.90450.000106
2-0.193403-1.62960.053803
30.0066470.0560.477747
4-0.129905-1.09460.138695
5-0.183129-1.54310.063629
60.069490.58550.280024
70.0717190.60430.273782
8-0.124567-1.04960.148726
9-0.028068-0.23650.406862
100.0697240.58750.279363
11-0.47824-4.02976.9e-05
120.4588923.86670.000121
130.0057250.04820.480832
14-0.003306-0.02790.488928
15-0.063367-0.53390.297526
16-0.073205-0.61680.269659
17-0.008375-0.07060.471971
18-0.084994-0.71620.238118
190.0523840.44140.330135
20-0.013231-0.11150.455774
21-0.157098-1.32370.094919
22-0.067235-0.56650.286409
230.1023590.86250.19566
240.1077180.90760.183567
250.0785080.66150.255211
26-0.135329-1.14030.128995
27-0.039924-0.33640.368778
280.0657540.55410.290641
29-0.044713-0.37680.353737
30-0.063967-0.5390.295788
31-0.106383-0.89640.186534
320.0497420.41910.338192
33-0.057116-0.48130.315903
34-0.014571-0.12280.451314
35-0.001235-0.01040.495864
36-0.063815-0.53770.296229
37-0.02501-0.21070.416849
380.0479910.40440.343574
39-0.019722-0.16620.434244
40-0.022868-0.19270.423877
41-0.041747-0.35180.363029
42-0.046172-0.38910.349201
430.0204530.17230.431831
44-0.106371-0.89630.186561
450.0653820.55090.291709
46-0.026758-0.22550.411134
470.0294050.24780.402514
48-0.239751-2.02020.023569

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.463381 & -3.9045 & 0.000106 \tabularnewline
2 & -0.193403 & -1.6296 & 0.053803 \tabularnewline
3 & 0.006647 & 0.056 & 0.477747 \tabularnewline
4 & -0.129905 & -1.0946 & 0.138695 \tabularnewline
5 & -0.183129 & -1.5431 & 0.063629 \tabularnewline
6 & 0.06949 & 0.5855 & 0.280024 \tabularnewline
7 & 0.071719 & 0.6043 & 0.273782 \tabularnewline
8 & -0.124567 & -1.0496 & 0.148726 \tabularnewline
9 & -0.028068 & -0.2365 & 0.406862 \tabularnewline
10 & 0.069724 & 0.5875 & 0.279363 \tabularnewline
11 & -0.47824 & -4.0297 & 6.9e-05 \tabularnewline
12 & 0.458892 & 3.8667 & 0.000121 \tabularnewline
13 & 0.005725 & 0.0482 & 0.480832 \tabularnewline
14 & -0.003306 & -0.0279 & 0.488928 \tabularnewline
15 & -0.063367 & -0.5339 & 0.297526 \tabularnewline
16 & -0.073205 & -0.6168 & 0.269659 \tabularnewline
17 & -0.008375 & -0.0706 & 0.471971 \tabularnewline
18 & -0.084994 & -0.7162 & 0.238118 \tabularnewline
19 & 0.052384 & 0.4414 & 0.330135 \tabularnewline
20 & -0.013231 & -0.1115 & 0.455774 \tabularnewline
21 & -0.157098 & -1.3237 & 0.094919 \tabularnewline
22 & -0.067235 & -0.5665 & 0.286409 \tabularnewline
23 & 0.102359 & 0.8625 & 0.19566 \tabularnewline
24 & 0.107718 & 0.9076 & 0.183567 \tabularnewline
25 & 0.078508 & 0.6615 & 0.255211 \tabularnewline
26 & -0.135329 & -1.1403 & 0.128995 \tabularnewline
27 & -0.039924 & -0.3364 & 0.368778 \tabularnewline
28 & 0.065754 & 0.5541 & 0.290641 \tabularnewline
29 & -0.044713 & -0.3768 & 0.353737 \tabularnewline
30 & -0.063967 & -0.539 & 0.295788 \tabularnewline
31 & -0.106383 & -0.8964 & 0.186534 \tabularnewline
32 & 0.049742 & 0.4191 & 0.338192 \tabularnewline
33 & -0.057116 & -0.4813 & 0.315903 \tabularnewline
34 & -0.014571 & -0.1228 & 0.451314 \tabularnewline
35 & -0.001235 & -0.0104 & 0.495864 \tabularnewline
36 & -0.063815 & -0.5377 & 0.296229 \tabularnewline
37 & -0.02501 & -0.2107 & 0.416849 \tabularnewline
38 & 0.047991 & 0.4044 & 0.343574 \tabularnewline
39 & -0.019722 & -0.1662 & 0.434244 \tabularnewline
40 & -0.022868 & -0.1927 & 0.423877 \tabularnewline
41 & -0.041747 & -0.3518 & 0.363029 \tabularnewline
42 & -0.046172 & -0.3891 & 0.349201 \tabularnewline
43 & 0.020453 & 0.1723 & 0.431831 \tabularnewline
44 & -0.106371 & -0.8963 & 0.186561 \tabularnewline
45 & 0.065382 & 0.5509 & 0.291709 \tabularnewline
46 & -0.026758 & -0.2255 & 0.411134 \tabularnewline
47 & 0.029405 & 0.2478 & 0.402514 \tabularnewline
48 & -0.239751 & -2.0202 & 0.023569 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39781&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]-0.463381[/C][C]-3.9045[/C][C]0.000106[/C][/ROW]
[ROW][C]2[/C][C]-0.193403[/C][C]-1.6296[/C][C]0.053803[/C][/ROW]
[ROW][C]3[/C][C]0.006647[/C][C]0.056[/C][C]0.477747[/C][/ROW]
[ROW][C]4[/C][C]-0.129905[/C][C]-1.0946[/C][C]0.138695[/C][/ROW]
[ROW][C]5[/C][C]-0.183129[/C][C]-1.5431[/C][C]0.063629[/C][/ROW]
[ROW][C]6[/C][C]0.06949[/C][C]0.5855[/C][C]0.280024[/C][/ROW]
[ROW][C]7[/C][C]0.071719[/C][C]0.6043[/C][C]0.273782[/C][/ROW]
[ROW][C]8[/C][C]-0.124567[/C][C]-1.0496[/C][C]0.148726[/C][/ROW]
[ROW][C]9[/C][C]-0.028068[/C][C]-0.2365[/C][C]0.406862[/C][/ROW]
[ROW][C]10[/C][C]0.069724[/C][C]0.5875[/C][C]0.279363[/C][/ROW]
[ROW][C]11[/C][C]-0.47824[/C][C]-4.0297[/C][C]6.9e-05[/C][/ROW]
[ROW][C]12[/C][C]0.458892[/C][C]3.8667[/C][C]0.000121[/C][/ROW]
[ROW][C]13[/C][C]0.005725[/C][C]0.0482[/C][C]0.480832[/C][/ROW]
[ROW][C]14[/C][C]-0.003306[/C][C]-0.0279[/C][C]0.488928[/C][/ROW]
[ROW][C]15[/C][C]-0.063367[/C][C]-0.5339[/C][C]0.297526[/C][/ROW]
[ROW][C]16[/C][C]-0.073205[/C][C]-0.6168[/C][C]0.269659[/C][/ROW]
[ROW][C]17[/C][C]-0.008375[/C][C]-0.0706[/C][C]0.471971[/C][/ROW]
[ROW][C]18[/C][C]-0.084994[/C][C]-0.7162[/C][C]0.238118[/C][/ROW]
[ROW][C]19[/C][C]0.052384[/C][C]0.4414[/C][C]0.330135[/C][/ROW]
[ROW][C]20[/C][C]-0.013231[/C][C]-0.1115[/C][C]0.455774[/C][/ROW]
[ROW][C]21[/C][C]-0.157098[/C][C]-1.3237[/C][C]0.094919[/C][/ROW]
[ROW][C]22[/C][C]-0.067235[/C][C]-0.5665[/C][C]0.286409[/C][/ROW]
[ROW][C]23[/C][C]0.102359[/C][C]0.8625[/C][C]0.19566[/C][/ROW]
[ROW][C]24[/C][C]0.107718[/C][C]0.9076[/C][C]0.183567[/C][/ROW]
[ROW][C]25[/C][C]0.078508[/C][C]0.6615[/C][C]0.255211[/C][/ROW]
[ROW][C]26[/C][C]-0.135329[/C][C]-1.1403[/C][C]0.128995[/C][/ROW]
[ROW][C]27[/C][C]-0.039924[/C][C]-0.3364[/C][C]0.368778[/C][/ROW]
[ROW][C]28[/C][C]0.065754[/C][C]0.5541[/C][C]0.290641[/C][/ROW]
[ROW][C]29[/C][C]-0.044713[/C][C]-0.3768[/C][C]0.353737[/C][/ROW]
[ROW][C]30[/C][C]-0.063967[/C][C]-0.539[/C][C]0.295788[/C][/ROW]
[ROW][C]31[/C][C]-0.106383[/C][C]-0.8964[/C][C]0.186534[/C][/ROW]
[ROW][C]32[/C][C]0.049742[/C][C]0.4191[/C][C]0.338192[/C][/ROW]
[ROW][C]33[/C][C]-0.057116[/C][C]-0.4813[/C][C]0.315903[/C][/ROW]
[ROW][C]34[/C][C]-0.014571[/C][C]-0.1228[/C][C]0.451314[/C][/ROW]
[ROW][C]35[/C][C]-0.001235[/C][C]-0.0104[/C][C]0.495864[/C][/ROW]
[ROW][C]36[/C][C]-0.063815[/C][C]-0.5377[/C][C]0.296229[/C][/ROW]
[ROW][C]37[/C][C]-0.02501[/C][C]-0.2107[/C][C]0.416849[/C][/ROW]
[ROW][C]38[/C][C]0.047991[/C][C]0.4044[/C][C]0.343574[/C][/ROW]
[ROW][C]39[/C][C]-0.019722[/C][C]-0.1662[/C][C]0.434244[/C][/ROW]
[ROW][C]40[/C][C]-0.022868[/C][C]-0.1927[/C][C]0.423877[/C][/ROW]
[ROW][C]41[/C][C]-0.041747[/C][C]-0.3518[/C][C]0.363029[/C][/ROW]
[ROW][C]42[/C][C]-0.046172[/C][C]-0.3891[/C][C]0.349201[/C][/ROW]
[ROW][C]43[/C][C]0.020453[/C][C]0.1723[/C][C]0.431831[/C][/ROW]
[ROW][C]44[/C][C]-0.106371[/C][C]-0.8963[/C][C]0.186561[/C][/ROW]
[ROW][C]45[/C][C]0.065382[/C][C]0.5509[/C][C]0.291709[/C][/ROW]
[ROW][C]46[/C][C]-0.026758[/C][C]-0.2255[/C][C]0.411134[/C][/ROW]
[ROW][C]47[/C][C]0.029405[/C][C]0.2478[/C][C]0.402514[/C][/ROW]
[ROW][C]48[/C][C]-0.239751[/C][C]-2.0202[/C][C]0.023569[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39781&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39781&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
1-0.463381-3.90450.000106
2-0.193403-1.62960.053803
30.0066470.0560.477747
4-0.129905-1.09460.138695
5-0.183129-1.54310.063629
60.069490.58550.280024
70.0717190.60430.273782
8-0.124567-1.04960.148726
9-0.028068-0.23650.406862
100.0697240.58750.279363
11-0.47824-4.02976.9e-05
120.4588923.86670.000121
130.0057250.04820.480832
14-0.003306-0.02790.488928
15-0.063367-0.53390.297526
16-0.073205-0.61680.269659
17-0.008375-0.07060.471971
18-0.084994-0.71620.238118
190.0523840.44140.330135
20-0.013231-0.11150.455774
21-0.157098-1.32370.094919
22-0.067235-0.56650.286409
230.1023590.86250.19566
240.1077180.90760.183567
250.0785080.66150.255211
26-0.135329-1.14030.128995
27-0.039924-0.33640.368778
280.0657540.55410.290641
29-0.044713-0.37680.353737
30-0.063967-0.5390.295788
31-0.106383-0.89640.186534
320.0497420.41910.338192
33-0.057116-0.48130.315903
34-0.014571-0.12280.451314
35-0.001235-0.01040.495864
36-0.063815-0.53770.296229
37-0.02501-0.21070.416849
380.0479910.40440.343574
39-0.019722-0.16620.434244
40-0.022868-0.19270.423877
41-0.041747-0.35180.363029
42-0.046172-0.38910.349201
430.0204530.17230.431831
44-0.106371-0.89630.186561
450.0653820.55090.291709
46-0.026758-0.22550.411134
470.0294050.24780.402514
48-0.239751-2.02020.023569



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