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 computationFri, 22 Jan 2010 04:30:20 -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/2010/Jan/22/t1264160070gsqv1eaeokpwp3q.htm/, Retrieved Thu, 02 May 2024 02:16:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72348, Retrieved Thu, 02 May 2024 02:16:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact198
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [Opgave6bis_geboor...] [2008-12-06 15:09:52] [e4a15d75e135371934c77b6a0dd48476]
- RMPD    [(Partial) Autocorrelation Function] [] [2010-01-22 11:30:20] [32a63dbffc7be1ee879fd4b0dabe8489] [Current]
Feedback Forum

Post a new message
Dataseries X:
6550
8728
12026
14395
14587
13791
9498
8251
7049
9545
9364
8456
7237
9374
11837
13784
15926
13821
11143
7975
7610
1015
12759
8816
10677
10947
15200
17010
20900
16205
12143
8997
5568
11474
12256
10583
10862
10965
14405
20379
20128
17816
12268
8642
7962
13932
15936
12628
12267
12470
18944
21259
22015
18581
15175
10306
10792
14752
13754
11738
12181
12965
19990
23125
23541
21247
15189
14767
10895
17130
17697
16611
12674
12760
20249
22135
20677
19933
15388
15113
13401
16135
17562
14720
12225
11608
20985
19692
24081
22114
14220
13434
13598
17187
16119
13713
13210
14251
20139
21725
26099
21084
18024
16722
14385
21342
17180
14577




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=72348&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=72348&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72348&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
10.7012587.28770
20.3810843.96036.7e-05
30.0956260.99380.161278
40.0436330.45340.325569
50.1441191.49770.06856
60.1835291.90730.02957
70.1122771.16680.122928
88.4e-059e-040.499653
90.047560.49430.311062
100.2830382.94140.001999
110.607066.30880
120.7411317.70210
130.5478865.69380
140.2532482.63180.004868
150.0157360.16350.4352
16-0.032964-0.34260.366294
170.0888210.92310.179017
180.073320.7620.223871
190.0337260.35050.363326
20-0.088742-0.92220.179232
21-0.032445-0.33720.368319
220.1609651.67280.048631
230.4494794.67114e-06
240.5497735.71340
250.3778693.92697.6e-05
260.1380551.43470.07713
27-0.076721-0.79730.213511
28-0.085909-0.89280.186975
29-0.006601-0.06860.472717
30-0.003056-0.03180.487362
31-0.06957-0.7230.235624
32-0.169731-1.76390.040288
33-0.15521-1.6130.054832
340.0660770.68670.246875
350.2981443.09840.00124
360.3929244.08344.3e-05
370.2455922.55230.00605
380.0373890.38860.349185
39-0.140914-1.46440.072991
40-0.138841-1.44290.075975
41-0.081904-0.85120.198279
42-0.094029-0.97720.165332
43-0.152298-1.58270.058204
44-0.263652-2.73990.003596
45-0.232951-2.42090.008575
46-0.070241-0.730.233496
470.1434791.49110.069429
480.1992052.07020.020409

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.701258 & 7.2877 & 0 \tabularnewline
2 & 0.381084 & 3.9603 & 6.7e-05 \tabularnewline
3 & 0.095626 & 0.9938 & 0.161278 \tabularnewline
4 & 0.043633 & 0.4534 & 0.325569 \tabularnewline
5 & 0.144119 & 1.4977 & 0.06856 \tabularnewline
6 & 0.183529 & 1.9073 & 0.02957 \tabularnewline
7 & 0.112277 & 1.1668 & 0.122928 \tabularnewline
8 & 8.4e-05 & 9e-04 & 0.499653 \tabularnewline
9 & 0.04756 & 0.4943 & 0.311062 \tabularnewline
10 & 0.283038 & 2.9414 & 0.001999 \tabularnewline
11 & 0.60706 & 6.3088 & 0 \tabularnewline
12 & 0.741131 & 7.7021 & 0 \tabularnewline
13 & 0.547886 & 5.6938 & 0 \tabularnewline
14 & 0.253248 & 2.6318 & 0.004868 \tabularnewline
15 & 0.015736 & 0.1635 & 0.4352 \tabularnewline
16 & -0.032964 & -0.3426 & 0.366294 \tabularnewline
17 & 0.088821 & 0.9231 & 0.179017 \tabularnewline
18 & 0.07332 & 0.762 & 0.223871 \tabularnewline
19 & 0.033726 & 0.3505 & 0.363326 \tabularnewline
20 & -0.088742 & -0.9222 & 0.179232 \tabularnewline
21 & -0.032445 & -0.3372 & 0.368319 \tabularnewline
22 & 0.160965 & 1.6728 & 0.048631 \tabularnewline
23 & 0.449479 & 4.6711 & 4e-06 \tabularnewline
24 & 0.549773 & 5.7134 & 0 \tabularnewline
25 & 0.377869 & 3.9269 & 7.6e-05 \tabularnewline
26 & 0.138055 & 1.4347 & 0.07713 \tabularnewline
27 & -0.076721 & -0.7973 & 0.213511 \tabularnewline
28 & -0.085909 & -0.8928 & 0.186975 \tabularnewline
29 & -0.006601 & -0.0686 & 0.472717 \tabularnewline
30 & -0.003056 & -0.0318 & 0.487362 \tabularnewline
31 & -0.06957 & -0.723 & 0.235624 \tabularnewline
32 & -0.169731 & -1.7639 & 0.040288 \tabularnewline
33 & -0.15521 & -1.613 & 0.054832 \tabularnewline
34 & 0.066077 & 0.6867 & 0.246875 \tabularnewline
35 & 0.298144 & 3.0984 & 0.00124 \tabularnewline
36 & 0.392924 & 4.0834 & 4.3e-05 \tabularnewline
37 & 0.245592 & 2.5523 & 0.00605 \tabularnewline
38 & 0.037389 & 0.3886 & 0.349185 \tabularnewline
39 & -0.140914 & -1.4644 & 0.072991 \tabularnewline
40 & -0.138841 & -1.4429 & 0.075975 \tabularnewline
41 & -0.081904 & -0.8512 & 0.198279 \tabularnewline
42 & -0.094029 & -0.9772 & 0.165332 \tabularnewline
43 & -0.152298 & -1.5827 & 0.058204 \tabularnewline
44 & -0.263652 & -2.7399 & 0.003596 \tabularnewline
45 & -0.232951 & -2.4209 & 0.008575 \tabularnewline
46 & -0.070241 & -0.73 & 0.233496 \tabularnewline
47 & 0.143479 & 1.4911 & 0.069429 \tabularnewline
48 & 0.199205 & 2.0702 & 0.020409 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72348&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]0.701258[/C][C]7.2877[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.381084[/C][C]3.9603[/C][C]6.7e-05[/C][/ROW]
[ROW][C]3[/C][C]0.095626[/C][C]0.9938[/C][C]0.161278[/C][/ROW]
[ROW][C]4[/C][C]0.043633[/C][C]0.4534[/C][C]0.325569[/C][/ROW]
[ROW][C]5[/C][C]0.144119[/C][C]1.4977[/C][C]0.06856[/C][/ROW]
[ROW][C]6[/C][C]0.183529[/C][C]1.9073[/C][C]0.02957[/C][/ROW]
[ROW][C]7[/C][C]0.112277[/C][C]1.1668[/C][C]0.122928[/C][/ROW]
[ROW][C]8[/C][C]8.4e-05[/C][C]9e-04[/C][C]0.499653[/C][/ROW]
[ROW][C]9[/C][C]0.04756[/C][C]0.4943[/C][C]0.311062[/C][/ROW]
[ROW][C]10[/C][C]0.283038[/C][C]2.9414[/C][C]0.001999[/C][/ROW]
[ROW][C]11[/C][C]0.60706[/C][C]6.3088[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.741131[/C][C]7.7021[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.547886[/C][C]5.6938[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.253248[/C][C]2.6318[/C][C]0.004868[/C][/ROW]
[ROW][C]15[/C][C]0.015736[/C][C]0.1635[/C][C]0.4352[/C][/ROW]
[ROW][C]16[/C][C]-0.032964[/C][C]-0.3426[/C][C]0.366294[/C][/ROW]
[ROW][C]17[/C][C]0.088821[/C][C]0.9231[/C][C]0.179017[/C][/ROW]
[ROW][C]18[/C][C]0.07332[/C][C]0.762[/C][C]0.223871[/C][/ROW]
[ROW][C]19[/C][C]0.033726[/C][C]0.3505[/C][C]0.363326[/C][/ROW]
[ROW][C]20[/C][C]-0.088742[/C][C]-0.9222[/C][C]0.179232[/C][/ROW]
[ROW][C]21[/C][C]-0.032445[/C][C]-0.3372[/C][C]0.368319[/C][/ROW]
[ROW][C]22[/C][C]0.160965[/C][C]1.6728[/C][C]0.048631[/C][/ROW]
[ROW][C]23[/C][C]0.449479[/C][C]4.6711[/C][C]4e-06[/C][/ROW]
[ROW][C]24[/C][C]0.549773[/C][C]5.7134[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.377869[/C][C]3.9269[/C][C]7.6e-05[/C][/ROW]
[ROW][C]26[/C][C]0.138055[/C][C]1.4347[/C][C]0.07713[/C][/ROW]
[ROW][C]27[/C][C]-0.076721[/C][C]-0.7973[/C][C]0.213511[/C][/ROW]
[ROW][C]28[/C][C]-0.085909[/C][C]-0.8928[/C][C]0.186975[/C][/ROW]
[ROW][C]29[/C][C]-0.006601[/C][C]-0.0686[/C][C]0.472717[/C][/ROW]
[ROW][C]30[/C][C]-0.003056[/C][C]-0.0318[/C][C]0.487362[/C][/ROW]
[ROW][C]31[/C][C]-0.06957[/C][C]-0.723[/C][C]0.235624[/C][/ROW]
[ROW][C]32[/C][C]-0.169731[/C][C]-1.7639[/C][C]0.040288[/C][/ROW]
[ROW][C]33[/C][C]-0.15521[/C][C]-1.613[/C][C]0.054832[/C][/ROW]
[ROW][C]34[/C][C]0.066077[/C][C]0.6867[/C][C]0.246875[/C][/ROW]
[ROW][C]35[/C][C]0.298144[/C][C]3.0984[/C][C]0.00124[/C][/ROW]
[ROW][C]36[/C][C]0.392924[/C][C]4.0834[/C][C]4.3e-05[/C][/ROW]
[ROW][C]37[/C][C]0.245592[/C][C]2.5523[/C][C]0.00605[/C][/ROW]
[ROW][C]38[/C][C]0.037389[/C][C]0.3886[/C][C]0.349185[/C][/ROW]
[ROW][C]39[/C][C]-0.140914[/C][C]-1.4644[/C][C]0.072991[/C][/ROW]
[ROW][C]40[/C][C]-0.138841[/C][C]-1.4429[/C][C]0.075975[/C][/ROW]
[ROW][C]41[/C][C]-0.081904[/C][C]-0.8512[/C][C]0.198279[/C][/ROW]
[ROW][C]42[/C][C]-0.094029[/C][C]-0.9772[/C][C]0.165332[/C][/ROW]
[ROW][C]43[/C][C]-0.152298[/C][C]-1.5827[/C][C]0.058204[/C][/ROW]
[ROW][C]44[/C][C]-0.263652[/C][C]-2.7399[/C][C]0.003596[/C][/ROW]
[ROW][C]45[/C][C]-0.232951[/C][C]-2.4209[/C][C]0.008575[/C][/ROW]
[ROW][C]46[/C][C]-0.070241[/C][C]-0.73[/C][C]0.233496[/C][/ROW]
[ROW][C]47[/C][C]0.143479[/C][C]1.4911[/C][C]0.069429[/C][/ROW]
[ROW][C]48[/C][C]0.199205[/C][C]2.0702[/C][C]0.020409[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72348&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72348&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
10.7012587.28770
20.3810843.96036.7e-05
30.0956260.99380.161278
40.0436330.45340.325569
50.1441191.49770.06856
60.1835291.90730.02957
70.1122771.16680.122928
88.4e-059e-040.499653
90.047560.49430.311062
100.2830382.94140.001999
110.607066.30880
120.7411317.70210
130.5478865.69380
140.2532482.63180.004868
150.0157360.16350.4352
16-0.032964-0.34260.366294
170.0888210.92310.179017
180.073320.7620.223871
190.0337260.35050.363326
20-0.088742-0.92220.179232
21-0.032445-0.33720.368319
220.1609651.67280.048631
230.4494794.67114e-06
240.5497735.71340
250.3778693.92697.6e-05
260.1380551.43470.07713
27-0.076721-0.79730.213511
28-0.085909-0.89280.186975
29-0.006601-0.06860.472717
30-0.003056-0.03180.487362
31-0.06957-0.7230.235624
32-0.169731-1.76390.040288
33-0.15521-1.6130.054832
340.0660770.68670.246875
350.2981443.09840.00124
360.3929244.08344.3e-05
370.2455922.55230.00605
380.0373890.38860.349185
39-0.140914-1.46440.072991
40-0.138841-1.44290.075975
41-0.081904-0.85120.198279
42-0.094029-0.97720.165332
43-0.152298-1.58270.058204
44-0.263652-2.73990.003596
45-0.232951-2.42090.008575
46-0.070241-0.730.233496
470.1434791.49110.069429
480.1992052.07020.020409







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7012587.28770
2-0.21777-2.26310.012814
3-0.159245-1.65490.050422
40.2291452.38130.0095
50.188661.96060.02625
6-0.13854-1.43980.076415
7-0.120238-1.24960.107082
80.0517220.53750.296011
90.3026243.1450.001073
100.3507693.64530.000206
110.3918354.07214.5e-05
120.1600131.66290.049616
13-0.248642-2.5840.005551
14-0.098134-1.01980.155042
15-0.05588-0.58070.281318
16-0.138568-1.440.076374
170.1216151.26390.1045
18-0.188375-1.95770.026426
190.1027861.06820.143909
20-0.05537-0.57540.283103
210.0031080.03230.487146
22-0.126862-1.31840.095082
230.1056061.09750.137435
240.0237020.24630.402953
25-0.127726-1.32740.093593
260.0687120.71410.238359
27-0.019058-0.19810.421688
28-0.061954-0.64380.260521
290.0343980.35750.360718
30-0.054775-0.56920.285189
31-0.04323-0.44930.327073
32-0.008056-0.08370.466718
33-0.089308-0.92810.177707
340.071580.74390.229283
350.0206630.21470.415189
36-0.025019-0.260.397679
37-0.023795-0.24730.402578
380.0137820.14320.44319
390.0241880.25140.401002
40-0.116679-1.21260.113971
410.0125860.13080.448088
42-0.055251-0.57420.283519
430.0115990.12050.452142
44-0.003394-0.03530.485965
45-0.085303-0.88650.188662
46-0.118984-1.23650.109474
470.0327280.34010.367215
48-0.117548-1.22160.112261

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.701258 & 7.2877 & 0 \tabularnewline
2 & -0.21777 & -2.2631 & 0.012814 \tabularnewline
3 & -0.159245 & -1.6549 & 0.050422 \tabularnewline
4 & 0.229145 & 2.3813 & 0.0095 \tabularnewline
5 & 0.18866 & 1.9606 & 0.02625 \tabularnewline
6 & -0.13854 & -1.4398 & 0.076415 \tabularnewline
7 & -0.120238 & -1.2496 & 0.107082 \tabularnewline
8 & 0.051722 & 0.5375 & 0.296011 \tabularnewline
9 & 0.302624 & 3.145 & 0.001073 \tabularnewline
10 & 0.350769 & 3.6453 & 0.000206 \tabularnewline
11 & 0.391835 & 4.0721 & 4.5e-05 \tabularnewline
12 & 0.160013 & 1.6629 & 0.049616 \tabularnewline
13 & -0.248642 & -2.584 & 0.005551 \tabularnewline
14 & -0.098134 & -1.0198 & 0.155042 \tabularnewline
15 & -0.05588 & -0.5807 & 0.281318 \tabularnewline
16 & -0.138568 & -1.44 & 0.076374 \tabularnewline
17 & 0.121615 & 1.2639 & 0.1045 \tabularnewline
18 & -0.188375 & -1.9577 & 0.026426 \tabularnewline
19 & 0.102786 & 1.0682 & 0.143909 \tabularnewline
20 & -0.05537 & -0.5754 & 0.283103 \tabularnewline
21 & 0.003108 & 0.0323 & 0.487146 \tabularnewline
22 & -0.126862 & -1.3184 & 0.095082 \tabularnewline
23 & 0.105606 & 1.0975 & 0.137435 \tabularnewline
24 & 0.023702 & 0.2463 & 0.402953 \tabularnewline
25 & -0.127726 & -1.3274 & 0.093593 \tabularnewline
26 & 0.068712 & 0.7141 & 0.238359 \tabularnewline
27 & -0.019058 & -0.1981 & 0.421688 \tabularnewline
28 & -0.061954 & -0.6438 & 0.260521 \tabularnewline
29 & 0.034398 & 0.3575 & 0.360718 \tabularnewline
30 & -0.054775 & -0.5692 & 0.285189 \tabularnewline
31 & -0.04323 & -0.4493 & 0.327073 \tabularnewline
32 & -0.008056 & -0.0837 & 0.466718 \tabularnewline
33 & -0.089308 & -0.9281 & 0.177707 \tabularnewline
34 & 0.07158 & 0.7439 & 0.229283 \tabularnewline
35 & 0.020663 & 0.2147 & 0.415189 \tabularnewline
36 & -0.025019 & -0.26 & 0.397679 \tabularnewline
37 & -0.023795 & -0.2473 & 0.402578 \tabularnewline
38 & 0.013782 & 0.1432 & 0.44319 \tabularnewline
39 & 0.024188 & 0.2514 & 0.401002 \tabularnewline
40 & -0.116679 & -1.2126 & 0.113971 \tabularnewline
41 & 0.012586 & 0.1308 & 0.448088 \tabularnewline
42 & -0.055251 & -0.5742 & 0.283519 \tabularnewline
43 & 0.011599 & 0.1205 & 0.452142 \tabularnewline
44 & -0.003394 & -0.0353 & 0.485965 \tabularnewline
45 & -0.085303 & -0.8865 & 0.188662 \tabularnewline
46 & -0.118984 & -1.2365 & 0.109474 \tabularnewline
47 & 0.032728 & 0.3401 & 0.367215 \tabularnewline
48 & -0.117548 & -1.2216 & 0.112261 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72348&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]0.701258[/C][C]7.2877[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.21777[/C][C]-2.2631[/C][C]0.012814[/C][/ROW]
[ROW][C]3[/C][C]-0.159245[/C][C]-1.6549[/C][C]0.050422[/C][/ROW]
[ROW][C]4[/C][C]0.229145[/C][C]2.3813[/C][C]0.0095[/C][/ROW]
[ROW][C]5[/C][C]0.18866[/C][C]1.9606[/C][C]0.02625[/C][/ROW]
[ROW][C]6[/C][C]-0.13854[/C][C]-1.4398[/C][C]0.076415[/C][/ROW]
[ROW][C]7[/C][C]-0.120238[/C][C]-1.2496[/C][C]0.107082[/C][/ROW]
[ROW][C]8[/C][C]0.051722[/C][C]0.5375[/C][C]0.296011[/C][/ROW]
[ROW][C]9[/C][C]0.302624[/C][C]3.145[/C][C]0.001073[/C][/ROW]
[ROW][C]10[/C][C]0.350769[/C][C]3.6453[/C][C]0.000206[/C][/ROW]
[ROW][C]11[/C][C]0.391835[/C][C]4.0721[/C][C]4.5e-05[/C][/ROW]
[ROW][C]12[/C][C]0.160013[/C][C]1.6629[/C][C]0.049616[/C][/ROW]
[ROW][C]13[/C][C]-0.248642[/C][C]-2.584[/C][C]0.005551[/C][/ROW]
[ROW][C]14[/C][C]-0.098134[/C][C]-1.0198[/C][C]0.155042[/C][/ROW]
[ROW][C]15[/C][C]-0.05588[/C][C]-0.5807[/C][C]0.281318[/C][/ROW]
[ROW][C]16[/C][C]-0.138568[/C][C]-1.44[/C][C]0.076374[/C][/ROW]
[ROW][C]17[/C][C]0.121615[/C][C]1.2639[/C][C]0.1045[/C][/ROW]
[ROW][C]18[/C][C]-0.188375[/C][C]-1.9577[/C][C]0.026426[/C][/ROW]
[ROW][C]19[/C][C]0.102786[/C][C]1.0682[/C][C]0.143909[/C][/ROW]
[ROW][C]20[/C][C]-0.05537[/C][C]-0.5754[/C][C]0.283103[/C][/ROW]
[ROW][C]21[/C][C]0.003108[/C][C]0.0323[/C][C]0.487146[/C][/ROW]
[ROW][C]22[/C][C]-0.126862[/C][C]-1.3184[/C][C]0.095082[/C][/ROW]
[ROW][C]23[/C][C]0.105606[/C][C]1.0975[/C][C]0.137435[/C][/ROW]
[ROW][C]24[/C][C]0.023702[/C][C]0.2463[/C][C]0.402953[/C][/ROW]
[ROW][C]25[/C][C]-0.127726[/C][C]-1.3274[/C][C]0.093593[/C][/ROW]
[ROW][C]26[/C][C]0.068712[/C][C]0.7141[/C][C]0.238359[/C][/ROW]
[ROW][C]27[/C][C]-0.019058[/C][C]-0.1981[/C][C]0.421688[/C][/ROW]
[ROW][C]28[/C][C]-0.061954[/C][C]-0.6438[/C][C]0.260521[/C][/ROW]
[ROW][C]29[/C][C]0.034398[/C][C]0.3575[/C][C]0.360718[/C][/ROW]
[ROW][C]30[/C][C]-0.054775[/C][C]-0.5692[/C][C]0.285189[/C][/ROW]
[ROW][C]31[/C][C]-0.04323[/C][C]-0.4493[/C][C]0.327073[/C][/ROW]
[ROW][C]32[/C][C]-0.008056[/C][C]-0.0837[/C][C]0.466718[/C][/ROW]
[ROW][C]33[/C][C]-0.089308[/C][C]-0.9281[/C][C]0.177707[/C][/ROW]
[ROW][C]34[/C][C]0.07158[/C][C]0.7439[/C][C]0.229283[/C][/ROW]
[ROW][C]35[/C][C]0.020663[/C][C]0.2147[/C][C]0.415189[/C][/ROW]
[ROW][C]36[/C][C]-0.025019[/C][C]-0.26[/C][C]0.397679[/C][/ROW]
[ROW][C]37[/C][C]-0.023795[/C][C]-0.2473[/C][C]0.402578[/C][/ROW]
[ROW][C]38[/C][C]0.013782[/C][C]0.1432[/C][C]0.44319[/C][/ROW]
[ROW][C]39[/C][C]0.024188[/C][C]0.2514[/C][C]0.401002[/C][/ROW]
[ROW][C]40[/C][C]-0.116679[/C][C]-1.2126[/C][C]0.113971[/C][/ROW]
[ROW][C]41[/C][C]0.012586[/C][C]0.1308[/C][C]0.448088[/C][/ROW]
[ROW][C]42[/C][C]-0.055251[/C][C]-0.5742[/C][C]0.283519[/C][/ROW]
[ROW][C]43[/C][C]0.011599[/C][C]0.1205[/C][C]0.452142[/C][/ROW]
[ROW][C]44[/C][C]-0.003394[/C][C]-0.0353[/C][C]0.485965[/C][/ROW]
[ROW][C]45[/C][C]-0.085303[/C][C]-0.8865[/C][C]0.188662[/C][/ROW]
[ROW][C]46[/C][C]-0.118984[/C][C]-1.2365[/C][C]0.109474[/C][/ROW]
[ROW][C]47[/C][C]0.032728[/C][C]0.3401[/C][C]0.367215[/C][/ROW]
[ROW][C]48[/C][C]-0.117548[/C][C]-1.2216[/C][C]0.112261[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72348&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72348&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
10.7012587.28770
2-0.21777-2.26310.012814
3-0.159245-1.65490.050422
40.2291452.38130.0095
50.188661.96060.02625
6-0.13854-1.43980.076415
7-0.120238-1.24960.107082
80.0517220.53750.296011
90.3026243.1450.001073
100.3507693.64530.000206
110.3918354.07214.5e-05
120.1600131.66290.049616
13-0.248642-2.5840.005551
14-0.098134-1.01980.155042
15-0.05588-0.58070.281318
16-0.138568-1.440.076374
170.1216151.26390.1045
18-0.188375-1.95770.026426
190.1027861.06820.143909
20-0.05537-0.57540.283103
210.0031080.03230.487146
22-0.126862-1.31840.095082
230.1056061.09750.137435
240.0237020.24630.402953
25-0.127726-1.32740.093593
260.0687120.71410.238359
27-0.019058-0.19810.421688
28-0.061954-0.64380.260521
290.0343980.35750.360718
30-0.054775-0.56920.285189
31-0.04323-0.44930.327073
32-0.008056-0.08370.466718
33-0.089308-0.92810.177707
340.071580.74390.229283
350.0206630.21470.415189
36-0.025019-0.260.397679
37-0.023795-0.24730.402578
380.0137820.14320.44319
390.0241880.25140.401002
40-0.116679-1.21260.113971
410.0125860.13080.448088
42-0.055251-0.57420.283519
430.0115990.12050.452142
44-0.003394-0.03530.485965
45-0.085303-0.88650.188662
46-0.118984-1.23650.109474
470.0327280.34010.367215
48-0.117548-1.22160.112261



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = ;
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')