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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationWed, 13 Jan 2010 07:11:57 -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/13/t1263391998tiymsncnwx7nnxe.htm/, Retrieved Thu, 31 Oct 2024 23:39:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72140, Retrieved Thu, 31 Oct 2024 23:39:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W21
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Gemiddelde consum...] [2010-01-13 14:11:57] [6590c54be3d1f5d26c781440f79f0ebc] [Current]
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Dataseries X:
2,12
2,13
2,14
2,15
2,15
2,16
2,17
2,17
2,18
2,17
2,17
2,18
2,17
2,18
2,18
2,18
2,17
2,17
2,18
2,17
2,18
2,17
2,17
2,17
2,17
2,17
2,17
2,17
2,17
2,17
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,18
2,19
2,19
2,19
2,2
2,2
2,21
2,21
2,21
2,2
2,21
2,2
2,21
2,21
2,22
2,22
2,23
2,24
2,24
2,25
2,25
2,32
2,36
2,37
2,37
2,37
2,38
2,38
2,41
2,42
2,43
2,44
2,44
2,44
2,43
2,43
2,43
2,42
2,42
2,42
2,42
2,42




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=72140&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=72140&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72140&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
10.9654178.84820
20.9284318.50920
30.8891618.14930
40.8498897.78940
50.8089377.4140
60.7642587.00450
70.7193366.59280
80.6698536.13930
90.6184455.66810
100.5629585.15961e-06
110.5065124.64236e-06
120.4531864.15353.9e-05
130.4001053.6670.000215
140.3513463.22010.000911
150.3088362.83050.002906
160.2657262.43540.008495
170.2229822.04370.02206
180.1793971.64420.051936
190.136651.25240.106947
200.0946290.86730.194128
210.0622170.57020.285021
220.0433910.39770.345934
230.0240850.22070.412913
240.0068220.06250.475145
25-0.010921-0.10010.460256
26-0.026981-0.24730.402647
27-0.041357-0.3790.352805
28-0.055854-0.51190.305028
29-0.068788-0.63040.265056
30-0.081961-0.75120.227319
31-0.091774-0.84110.201332
32-0.103391-0.94760.173028
33-0.113204-1.03750.151233
34-0.12542-1.14950.126807
35-0.138237-1.2670.104335
36-0.151293-1.38660.084613
37-0.162067-1.48540.070595
38-0.17284-1.58410.058464
39-0.18169-1.66520.049798
40-0.19066-1.74740.042109
41-0.19975-1.83070.035343
42-0.207637-1.9030.030231
43-0.214684-1.96760.026206
44-0.221014-2.02560.022989
45-0.227104-2.08140.020219
46-0.233673-2.14170.017559
47-0.239286-2.19310.015533
48-0.244058-2.23680.013973

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.965417 & 8.8482 & 0 \tabularnewline
2 & 0.928431 & 8.5092 & 0 \tabularnewline
3 & 0.889161 & 8.1493 & 0 \tabularnewline
4 & 0.849889 & 7.7894 & 0 \tabularnewline
5 & 0.808937 & 7.414 & 0 \tabularnewline
6 & 0.764258 & 7.0045 & 0 \tabularnewline
7 & 0.719336 & 6.5928 & 0 \tabularnewline
8 & 0.669853 & 6.1393 & 0 \tabularnewline
9 & 0.618445 & 5.6681 & 0 \tabularnewline
10 & 0.562958 & 5.1596 & 1e-06 \tabularnewline
11 & 0.506512 & 4.6423 & 6e-06 \tabularnewline
12 & 0.453186 & 4.1535 & 3.9e-05 \tabularnewline
13 & 0.400105 & 3.667 & 0.000215 \tabularnewline
14 & 0.351346 & 3.2201 & 0.000911 \tabularnewline
15 & 0.308836 & 2.8305 & 0.002906 \tabularnewline
16 & 0.265726 & 2.4354 & 0.008495 \tabularnewline
17 & 0.222982 & 2.0437 & 0.02206 \tabularnewline
18 & 0.179397 & 1.6442 & 0.051936 \tabularnewline
19 & 0.13665 & 1.2524 & 0.106947 \tabularnewline
20 & 0.094629 & 0.8673 & 0.194128 \tabularnewline
21 & 0.062217 & 0.5702 & 0.285021 \tabularnewline
22 & 0.043391 & 0.3977 & 0.345934 \tabularnewline
23 & 0.024085 & 0.2207 & 0.412913 \tabularnewline
24 & 0.006822 & 0.0625 & 0.475145 \tabularnewline
25 & -0.010921 & -0.1001 & 0.460256 \tabularnewline
26 & -0.026981 & -0.2473 & 0.402647 \tabularnewline
27 & -0.041357 & -0.379 & 0.352805 \tabularnewline
28 & -0.055854 & -0.5119 & 0.305028 \tabularnewline
29 & -0.068788 & -0.6304 & 0.265056 \tabularnewline
30 & -0.081961 & -0.7512 & 0.227319 \tabularnewline
31 & -0.091774 & -0.8411 & 0.201332 \tabularnewline
32 & -0.103391 & -0.9476 & 0.173028 \tabularnewline
33 & -0.113204 & -1.0375 & 0.151233 \tabularnewline
34 & -0.12542 & -1.1495 & 0.126807 \tabularnewline
35 & -0.138237 & -1.267 & 0.104335 \tabularnewline
36 & -0.151293 & -1.3866 & 0.084613 \tabularnewline
37 & -0.162067 & -1.4854 & 0.070595 \tabularnewline
38 & -0.17284 & -1.5841 & 0.058464 \tabularnewline
39 & -0.18169 & -1.6652 & 0.049798 \tabularnewline
40 & -0.19066 & -1.7474 & 0.042109 \tabularnewline
41 & -0.19975 & -1.8307 & 0.035343 \tabularnewline
42 & -0.207637 & -1.903 & 0.030231 \tabularnewline
43 & -0.214684 & -1.9676 & 0.026206 \tabularnewline
44 & -0.221014 & -2.0256 & 0.022989 \tabularnewline
45 & -0.227104 & -2.0814 & 0.020219 \tabularnewline
46 & -0.233673 & -2.1417 & 0.017559 \tabularnewline
47 & -0.239286 & -2.1931 & 0.015533 \tabularnewline
48 & -0.244058 & -2.2368 & 0.013973 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72140&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]0.965417[/C][C]8.8482[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.928431[/C][C]8.5092[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.889161[/C][C]8.1493[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.849889[/C][C]7.7894[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.808937[/C][C]7.414[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.764258[/C][C]7.0045[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.719336[/C][C]6.5928[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.669853[/C][C]6.1393[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.618445[/C][C]5.6681[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.562958[/C][C]5.1596[/C][C]1e-06[/C][/ROW]
[ROW][C]11[/C][C]0.506512[/C][C]4.6423[/C][C]6e-06[/C][/ROW]
[ROW][C]12[/C][C]0.453186[/C][C]4.1535[/C][C]3.9e-05[/C][/ROW]
[ROW][C]13[/C][C]0.400105[/C][C]3.667[/C][C]0.000215[/C][/ROW]
[ROW][C]14[/C][C]0.351346[/C][C]3.2201[/C][C]0.000911[/C][/ROW]
[ROW][C]15[/C][C]0.308836[/C][C]2.8305[/C][C]0.002906[/C][/ROW]
[ROW][C]16[/C][C]0.265726[/C][C]2.4354[/C][C]0.008495[/C][/ROW]
[ROW][C]17[/C][C]0.222982[/C][C]2.0437[/C][C]0.02206[/C][/ROW]
[ROW][C]18[/C][C]0.179397[/C][C]1.6442[/C][C]0.051936[/C][/ROW]
[ROW][C]19[/C][C]0.13665[/C][C]1.2524[/C][C]0.106947[/C][/ROW]
[ROW][C]20[/C][C]0.094629[/C][C]0.8673[/C][C]0.194128[/C][/ROW]
[ROW][C]21[/C][C]0.062217[/C][C]0.5702[/C][C]0.285021[/C][/ROW]
[ROW][C]22[/C][C]0.043391[/C][C]0.3977[/C][C]0.345934[/C][/ROW]
[ROW][C]23[/C][C]0.024085[/C][C]0.2207[/C][C]0.412913[/C][/ROW]
[ROW][C]24[/C][C]0.006822[/C][C]0.0625[/C][C]0.475145[/C][/ROW]
[ROW][C]25[/C][C]-0.010921[/C][C]-0.1001[/C][C]0.460256[/C][/ROW]
[ROW][C]26[/C][C]-0.026981[/C][C]-0.2473[/C][C]0.402647[/C][/ROW]
[ROW][C]27[/C][C]-0.041357[/C][C]-0.379[/C][C]0.352805[/C][/ROW]
[ROW][C]28[/C][C]-0.055854[/C][C]-0.5119[/C][C]0.305028[/C][/ROW]
[ROW][C]29[/C][C]-0.068788[/C][C]-0.6304[/C][C]0.265056[/C][/ROW]
[ROW][C]30[/C][C]-0.081961[/C][C]-0.7512[/C][C]0.227319[/C][/ROW]
[ROW][C]31[/C][C]-0.091774[/C][C]-0.8411[/C][C]0.201332[/C][/ROW]
[ROW][C]32[/C][C]-0.103391[/C][C]-0.9476[/C][C]0.173028[/C][/ROW]
[ROW][C]33[/C][C]-0.113204[/C][C]-1.0375[/C][C]0.151233[/C][/ROW]
[ROW][C]34[/C][C]-0.12542[/C][C]-1.1495[/C][C]0.126807[/C][/ROW]
[ROW][C]35[/C][C]-0.138237[/C][C]-1.267[/C][C]0.104335[/C][/ROW]
[ROW][C]36[/C][C]-0.151293[/C][C]-1.3866[/C][C]0.084613[/C][/ROW]
[ROW][C]37[/C][C]-0.162067[/C][C]-1.4854[/C][C]0.070595[/C][/ROW]
[ROW][C]38[/C][C]-0.17284[/C][C]-1.5841[/C][C]0.058464[/C][/ROW]
[ROW][C]39[/C][C]-0.18169[/C][C]-1.6652[/C][C]0.049798[/C][/ROW]
[ROW][C]40[/C][C]-0.19066[/C][C]-1.7474[/C][C]0.042109[/C][/ROW]
[ROW][C]41[/C][C]-0.19975[/C][C]-1.8307[/C][C]0.035343[/C][/ROW]
[ROW][C]42[/C][C]-0.207637[/C][C]-1.903[/C][C]0.030231[/C][/ROW]
[ROW][C]43[/C][C]-0.214684[/C][C]-1.9676[/C][C]0.026206[/C][/ROW]
[ROW][C]44[/C][C]-0.221014[/C][C]-2.0256[/C][C]0.022989[/C][/ROW]
[ROW][C]45[/C][C]-0.227104[/C][C]-2.0814[/C][C]0.020219[/C][/ROW]
[ROW][C]46[/C][C]-0.233673[/C][C]-2.1417[/C][C]0.017559[/C][/ROW]
[ROW][C]47[/C][C]-0.239286[/C][C]-2.1931[/C][C]0.015533[/C][/ROW]
[ROW][C]48[/C][C]-0.244058[/C][C]-2.2368[/C][C]0.013973[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72140&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72140&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
10.9654178.84820
20.9284318.50920
30.8891618.14930
40.8498897.78940
50.8089377.4140
60.7642587.00450
70.7193366.59280
80.6698536.13930
90.6184455.66810
100.5629585.15961e-06
110.5065124.64236e-06
120.4531864.15353.9e-05
130.4001053.6670.000215
140.3513463.22010.000911
150.3088362.83050.002906
160.2657262.43540.008495
170.2229822.04370.02206
180.1793971.64420.051936
190.136651.25240.106947
200.0946290.86730.194128
210.0622170.57020.285021
220.0433910.39770.345934
230.0240850.22070.412913
240.0068220.06250.475145
25-0.010921-0.10010.460256
26-0.026981-0.24730.402647
27-0.041357-0.3790.352805
28-0.055854-0.51190.305028
29-0.068788-0.63040.265056
30-0.081961-0.75120.227319
31-0.091774-0.84110.201332
32-0.103391-0.94760.173028
33-0.113204-1.03750.151233
34-0.12542-1.14950.126807
35-0.138237-1.2670.104335
36-0.151293-1.38660.084613
37-0.162067-1.48540.070595
38-0.17284-1.58410.058464
39-0.18169-1.66520.049798
40-0.19066-1.74740.042109
41-0.19975-1.83070.035343
42-0.207637-1.9030.030231
43-0.214684-1.96760.026206
44-0.221014-2.02560.022989
45-0.227104-2.08140.020219
46-0.233673-2.14170.017559
47-0.239286-2.19310.015533
48-0.244058-2.23680.013973







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9654178.84820
2-0.052953-0.48530.314354
3-0.051679-0.47370.318489
4-0.018692-0.17130.432193
5-0.045134-0.41370.34009
6-0.076478-0.70090.242641
7-0.024393-0.22360.411821
8-0.091174-0.83560.202869
9-0.055361-0.50740.306605
10-0.086947-0.79690.213884
11-0.045868-0.42040.337639
120.0132370.12130.451866
13-0.029482-0.27020.393833
140.0287120.26320.396539
150.0668230.61240.27095
16-0.045577-0.41770.33861
17-0.027329-0.25050.401418
18-0.043458-0.39830.345711
19-0.036452-0.33410.369574
20-0.037003-0.33910.367675
210.0957220.87730.191412
220.1564531.43390.077654
23-0.049567-0.45430.325395
24-0.012344-0.11310.455096
25-0.028582-0.2620.396998
26-0.016226-0.14870.441068
27-0.015077-0.13820.445213
28-0.03083-0.28260.389103
29-0.025365-0.23250.408368
30-0.054814-0.50240.308358
31-0.005854-0.05370.478668
32-0.048326-0.44290.329484
330.0130530.11960.45253
34-0.053317-0.48870.313179
350.0081730.07490.470234
36-0.006955-0.06370.474663
370.0033810.0310.487678
38-0.034438-0.31560.376534
390.0019130.01750.493027
40-0.029656-0.27180.393221
41-0.011591-0.10620.457825
420.0425010.38950.348935
430.0191670.17570.430488
44-0.020658-0.18930.425144
45-0.015703-0.14390.442955
46-0.041535-0.38070.352201
47-0.001897-0.01740.493083
48-0.017548-0.16080.436305

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.965417 & 8.8482 & 0 \tabularnewline
2 & -0.052953 & -0.4853 & 0.314354 \tabularnewline
3 & -0.051679 & -0.4737 & 0.318489 \tabularnewline
4 & -0.018692 & -0.1713 & 0.432193 \tabularnewline
5 & -0.045134 & -0.4137 & 0.34009 \tabularnewline
6 & -0.076478 & -0.7009 & 0.242641 \tabularnewline
7 & -0.024393 & -0.2236 & 0.411821 \tabularnewline
8 & -0.091174 & -0.8356 & 0.202869 \tabularnewline
9 & -0.055361 & -0.5074 & 0.306605 \tabularnewline
10 & -0.086947 & -0.7969 & 0.213884 \tabularnewline
11 & -0.045868 & -0.4204 & 0.337639 \tabularnewline
12 & 0.013237 & 0.1213 & 0.451866 \tabularnewline
13 & -0.029482 & -0.2702 & 0.393833 \tabularnewline
14 & 0.028712 & 0.2632 & 0.396539 \tabularnewline
15 & 0.066823 & 0.6124 & 0.27095 \tabularnewline
16 & -0.045577 & -0.4177 & 0.33861 \tabularnewline
17 & -0.027329 & -0.2505 & 0.401418 \tabularnewline
18 & -0.043458 & -0.3983 & 0.345711 \tabularnewline
19 & -0.036452 & -0.3341 & 0.369574 \tabularnewline
20 & -0.037003 & -0.3391 & 0.367675 \tabularnewline
21 & 0.095722 & 0.8773 & 0.191412 \tabularnewline
22 & 0.156453 & 1.4339 & 0.077654 \tabularnewline
23 & -0.049567 & -0.4543 & 0.325395 \tabularnewline
24 & -0.012344 & -0.1131 & 0.455096 \tabularnewline
25 & -0.028582 & -0.262 & 0.396998 \tabularnewline
26 & -0.016226 & -0.1487 & 0.441068 \tabularnewline
27 & -0.015077 & -0.1382 & 0.445213 \tabularnewline
28 & -0.03083 & -0.2826 & 0.389103 \tabularnewline
29 & -0.025365 & -0.2325 & 0.408368 \tabularnewline
30 & -0.054814 & -0.5024 & 0.308358 \tabularnewline
31 & -0.005854 & -0.0537 & 0.478668 \tabularnewline
32 & -0.048326 & -0.4429 & 0.329484 \tabularnewline
33 & 0.013053 & 0.1196 & 0.45253 \tabularnewline
34 & -0.053317 & -0.4887 & 0.313179 \tabularnewline
35 & 0.008173 & 0.0749 & 0.470234 \tabularnewline
36 & -0.006955 & -0.0637 & 0.474663 \tabularnewline
37 & 0.003381 & 0.031 & 0.487678 \tabularnewline
38 & -0.034438 & -0.3156 & 0.376534 \tabularnewline
39 & 0.001913 & 0.0175 & 0.493027 \tabularnewline
40 & -0.029656 & -0.2718 & 0.393221 \tabularnewline
41 & -0.011591 & -0.1062 & 0.457825 \tabularnewline
42 & 0.042501 & 0.3895 & 0.348935 \tabularnewline
43 & 0.019167 & 0.1757 & 0.430488 \tabularnewline
44 & -0.020658 & -0.1893 & 0.425144 \tabularnewline
45 & -0.015703 & -0.1439 & 0.442955 \tabularnewline
46 & -0.041535 & -0.3807 & 0.352201 \tabularnewline
47 & -0.001897 & -0.0174 & 0.493083 \tabularnewline
48 & -0.017548 & -0.1608 & 0.436305 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72140&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]0.965417[/C][C]8.8482[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.052953[/C][C]-0.4853[/C][C]0.314354[/C][/ROW]
[ROW][C]3[/C][C]-0.051679[/C][C]-0.4737[/C][C]0.318489[/C][/ROW]
[ROW][C]4[/C][C]-0.018692[/C][C]-0.1713[/C][C]0.432193[/C][/ROW]
[ROW][C]5[/C][C]-0.045134[/C][C]-0.4137[/C][C]0.34009[/C][/ROW]
[ROW][C]6[/C][C]-0.076478[/C][C]-0.7009[/C][C]0.242641[/C][/ROW]
[ROW][C]7[/C][C]-0.024393[/C][C]-0.2236[/C][C]0.411821[/C][/ROW]
[ROW][C]8[/C][C]-0.091174[/C][C]-0.8356[/C][C]0.202869[/C][/ROW]
[ROW][C]9[/C][C]-0.055361[/C][C]-0.5074[/C][C]0.306605[/C][/ROW]
[ROW][C]10[/C][C]-0.086947[/C][C]-0.7969[/C][C]0.213884[/C][/ROW]
[ROW][C]11[/C][C]-0.045868[/C][C]-0.4204[/C][C]0.337639[/C][/ROW]
[ROW][C]12[/C][C]0.013237[/C][C]0.1213[/C][C]0.451866[/C][/ROW]
[ROW][C]13[/C][C]-0.029482[/C][C]-0.2702[/C][C]0.393833[/C][/ROW]
[ROW][C]14[/C][C]0.028712[/C][C]0.2632[/C][C]0.396539[/C][/ROW]
[ROW][C]15[/C][C]0.066823[/C][C]0.6124[/C][C]0.27095[/C][/ROW]
[ROW][C]16[/C][C]-0.045577[/C][C]-0.4177[/C][C]0.33861[/C][/ROW]
[ROW][C]17[/C][C]-0.027329[/C][C]-0.2505[/C][C]0.401418[/C][/ROW]
[ROW][C]18[/C][C]-0.043458[/C][C]-0.3983[/C][C]0.345711[/C][/ROW]
[ROW][C]19[/C][C]-0.036452[/C][C]-0.3341[/C][C]0.369574[/C][/ROW]
[ROW][C]20[/C][C]-0.037003[/C][C]-0.3391[/C][C]0.367675[/C][/ROW]
[ROW][C]21[/C][C]0.095722[/C][C]0.8773[/C][C]0.191412[/C][/ROW]
[ROW][C]22[/C][C]0.156453[/C][C]1.4339[/C][C]0.077654[/C][/ROW]
[ROW][C]23[/C][C]-0.049567[/C][C]-0.4543[/C][C]0.325395[/C][/ROW]
[ROW][C]24[/C][C]-0.012344[/C][C]-0.1131[/C][C]0.455096[/C][/ROW]
[ROW][C]25[/C][C]-0.028582[/C][C]-0.262[/C][C]0.396998[/C][/ROW]
[ROW][C]26[/C][C]-0.016226[/C][C]-0.1487[/C][C]0.441068[/C][/ROW]
[ROW][C]27[/C][C]-0.015077[/C][C]-0.1382[/C][C]0.445213[/C][/ROW]
[ROW][C]28[/C][C]-0.03083[/C][C]-0.2826[/C][C]0.389103[/C][/ROW]
[ROW][C]29[/C][C]-0.025365[/C][C]-0.2325[/C][C]0.408368[/C][/ROW]
[ROW][C]30[/C][C]-0.054814[/C][C]-0.5024[/C][C]0.308358[/C][/ROW]
[ROW][C]31[/C][C]-0.005854[/C][C]-0.0537[/C][C]0.478668[/C][/ROW]
[ROW][C]32[/C][C]-0.048326[/C][C]-0.4429[/C][C]0.329484[/C][/ROW]
[ROW][C]33[/C][C]0.013053[/C][C]0.1196[/C][C]0.45253[/C][/ROW]
[ROW][C]34[/C][C]-0.053317[/C][C]-0.4887[/C][C]0.313179[/C][/ROW]
[ROW][C]35[/C][C]0.008173[/C][C]0.0749[/C][C]0.470234[/C][/ROW]
[ROW][C]36[/C][C]-0.006955[/C][C]-0.0637[/C][C]0.474663[/C][/ROW]
[ROW][C]37[/C][C]0.003381[/C][C]0.031[/C][C]0.487678[/C][/ROW]
[ROW][C]38[/C][C]-0.034438[/C][C]-0.3156[/C][C]0.376534[/C][/ROW]
[ROW][C]39[/C][C]0.001913[/C][C]0.0175[/C][C]0.493027[/C][/ROW]
[ROW][C]40[/C][C]-0.029656[/C][C]-0.2718[/C][C]0.393221[/C][/ROW]
[ROW][C]41[/C][C]-0.011591[/C][C]-0.1062[/C][C]0.457825[/C][/ROW]
[ROW][C]42[/C][C]0.042501[/C][C]0.3895[/C][C]0.348935[/C][/ROW]
[ROW][C]43[/C][C]0.019167[/C][C]0.1757[/C][C]0.430488[/C][/ROW]
[ROW][C]44[/C][C]-0.020658[/C][C]-0.1893[/C][C]0.425144[/C][/ROW]
[ROW][C]45[/C][C]-0.015703[/C][C]-0.1439[/C][C]0.442955[/C][/ROW]
[ROW][C]46[/C][C]-0.041535[/C][C]-0.3807[/C][C]0.352201[/C][/ROW]
[ROW][C]47[/C][C]-0.001897[/C][C]-0.0174[/C][C]0.493083[/C][/ROW]
[ROW][C]48[/C][C]-0.017548[/C][C]-0.1608[/C][C]0.436305[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72140&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72140&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
10.9654178.84820
2-0.052953-0.48530.314354
3-0.051679-0.47370.318489
4-0.018692-0.17130.432193
5-0.045134-0.41370.34009
6-0.076478-0.70090.242641
7-0.024393-0.22360.411821
8-0.091174-0.83560.202869
9-0.055361-0.50740.306605
10-0.086947-0.79690.213884
11-0.045868-0.42040.337639
120.0132370.12130.451866
13-0.029482-0.27020.393833
140.0287120.26320.396539
150.0668230.61240.27095
16-0.045577-0.41770.33861
17-0.027329-0.25050.401418
18-0.043458-0.39830.345711
19-0.036452-0.33410.369574
20-0.037003-0.33910.367675
210.0957220.87730.191412
220.1564531.43390.077654
23-0.049567-0.45430.325395
24-0.012344-0.11310.455096
25-0.028582-0.2620.396998
26-0.016226-0.14870.441068
27-0.015077-0.13820.445213
28-0.03083-0.28260.389103
29-0.025365-0.23250.408368
30-0.054814-0.50240.308358
31-0.005854-0.05370.478668
32-0.048326-0.44290.329484
330.0130530.11960.45253
34-0.053317-0.48870.313179
350.0081730.07490.470234
36-0.006955-0.06370.474663
370.0033810.0310.487678
38-0.034438-0.31560.376534
390.0019130.01750.493027
40-0.029656-0.27180.393221
41-0.011591-0.10620.457825
420.0425010.38950.348935
430.0191670.17570.430488
44-0.020658-0.18930.425144
45-0.015703-0.14390.442955
46-0.041535-0.38070.352201
47-0.001897-0.01740.493083
48-0.017548-0.16080.436305



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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')