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 computationSat, 19 Nov 2011 04:25:18 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/19/t13216948126bz80iebtlwcu44.htm/, Retrieved Thu, 28 Mar 2024 21:25:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145491, Retrieved Thu, 28 Mar 2024 21:25:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Datareeks - prijz...] [2011-11-19 09:25:18] [d2e58419ee4d0035447c6fe803d7c88a] [Current]
Feedback Forum

Post a new message
Dataseries X:
478.34
485.7
485.75
485.85
485.84
485.85
485.84
486
488.79
489.71
489.71
489.71
498.1
498.76
498.88
498.88
498.88
498.88
499.48
501.21
502.05
502.05
502.05
504.1
506.81
516.88
520.43
520.68
520.68
520.68
521.03
521.25
521.25
521.25
521.65
521.65
522.77
518.72
519.27
519.38
521.29
521.29
521.29
523.47
523.86
524.14
524.14
524.14
534.6
534.99
535.39
535.39
535.39
535.39
535.39
535.64
536.08
537.8
537.8
537.8
537.85
544.39
545.15
544.65
544.65
544.65
545.73
548.94
550.94
551.22
551.22
551.22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145491&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145491&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145491&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 time2 seconds
R Server'AstonUniversity' @ aston.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0714040.60170.274659
2-0.070803-0.59660.276338
3-0.141334-1.19090.118829
4-0.049116-0.41390.340113
5-0.01552-0.13080.448161
6-0.04375-0.36860.356744
7-0.001383-0.01170.495368
8-0.054228-0.45690.324557
9-0.095206-0.80220.212552
10-0.112042-0.94410.174164
11-0.022403-0.18880.425405
12-0.08698-0.73290.233015
130.2641552.22580.014602
14-0.013022-0.10970.456469
15-0.069051-0.58180.281262
16-0.069056-0.58190.281246
170.0048170.04060.483869
180.0522010.43990.330691
19-0.002227-0.01880.492541
20-0.079452-0.66950.252681
21-0.077818-0.65570.257066
220.0168210.14170.443847
230.2121131.78730.039079
240.1488741.25440.1069
25-0.009072-0.07640.46964
26-0.037745-0.3180.375693
27-0.04775-0.40230.344318
28-0.007707-0.06490.474201
29-0.055644-0.46890.320302
30-0.065039-0.5480.292696
31-0.004215-0.03550.485882
32-0.005346-0.0450.482097
33-0.051563-0.43450.332629
34-0.061383-0.51720.303305
350.0205060.17280.431655
360.2416122.03590.022748
37-0.01488-0.12540.450289
38-0.060157-0.50690.306901
39-0.045796-0.38590.350368
40-0.022429-0.1890.42532
41-0.029097-0.24520.403514
420.0726590.61220.271168
430.000170.00140.499431
44-0.056513-0.47620.3177
45-0.060817-0.51250.304962
46-0.099959-0.84230.201233
470.1336461.12610.131953
48-0.002114-0.01780.49292

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.071404 & 0.6017 & 0.274659 \tabularnewline
2 & -0.070803 & -0.5966 & 0.276338 \tabularnewline
3 & -0.141334 & -1.1909 & 0.118829 \tabularnewline
4 & -0.049116 & -0.4139 & 0.340113 \tabularnewline
5 & -0.01552 & -0.1308 & 0.448161 \tabularnewline
6 & -0.04375 & -0.3686 & 0.356744 \tabularnewline
7 & -0.001383 & -0.0117 & 0.495368 \tabularnewline
8 & -0.054228 & -0.4569 & 0.324557 \tabularnewline
9 & -0.095206 & -0.8022 & 0.212552 \tabularnewline
10 & -0.112042 & -0.9441 & 0.174164 \tabularnewline
11 & -0.022403 & -0.1888 & 0.425405 \tabularnewline
12 & -0.08698 & -0.7329 & 0.233015 \tabularnewline
13 & 0.264155 & 2.2258 & 0.014602 \tabularnewline
14 & -0.013022 & -0.1097 & 0.456469 \tabularnewline
15 & -0.069051 & -0.5818 & 0.281262 \tabularnewline
16 & -0.069056 & -0.5819 & 0.281246 \tabularnewline
17 & 0.004817 & 0.0406 & 0.483869 \tabularnewline
18 & 0.052201 & 0.4399 & 0.330691 \tabularnewline
19 & -0.002227 & -0.0188 & 0.492541 \tabularnewline
20 & -0.079452 & -0.6695 & 0.252681 \tabularnewline
21 & -0.077818 & -0.6557 & 0.257066 \tabularnewline
22 & 0.016821 & 0.1417 & 0.443847 \tabularnewline
23 & 0.212113 & 1.7873 & 0.039079 \tabularnewline
24 & 0.148874 & 1.2544 & 0.1069 \tabularnewline
25 & -0.009072 & -0.0764 & 0.46964 \tabularnewline
26 & -0.037745 & -0.318 & 0.375693 \tabularnewline
27 & -0.04775 & -0.4023 & 0.344318 \tabularnewline
28 & -0.007707 & -0.0649 & 0.474201 \tabularnewline
29 & -0.055644 & -0.4689 & 0.320302 \tabularnewline
30 & -0.065039 & -0.548 & 0.292696 \tabularnewline
31 & -0.004215 & -0.0355 & 0.485882 \tabularnewline
32 & -0.005346 & -0.045 & 0.482097 \tabularnewline
33 & -0.051563 & -0.4345 & 0.332629 \tabularnewline
34 & -0.061383 & -0.5172 & 0.303305 \tabularnewline
35 & 0.020506 & 0.1728 & 0.431655 \tabularnewline
36 & 0.241612 & 2.0359 & 0.022748 \tabularnewline
37 & -0.01488 & -0.1254 & 0.450289 \tabularnewline
38 & -0.060157 & -0.5069 & 0.306901 \tabularnewline
39 & -0.045796 & -0.3859 & 0.350368 \tabularnewline
40 & -0.022429 & -0.189 & 0.42532 \tabularnewline
41 & -0.029097 & -0.2452 & 0.403514 \tabularnewline
42 & 0.072659 & 0.6122 & 0.271168 \tabularnewline
43 & 0.00017 & 0.0014 & 0.499431 \tabularnewline
44 & -0.056513 & -0.4762 & 0.3177 \tabularnewline
45 & -0.060817 & -0.5125 & 0.304962 \tabularnewline
46 & -0.099959 & -0.8423 & 0.201233 \tabularnewline
47 & 0.133646 & 1.1261 & 0.131953 \tabularnewline
48 & -0.002114 & -0.0178 & 0.49292 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145491&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]0.071404[/C][C]0.6017[/C][C]0.274659[/C][/ROW]
[ROW][C]2[/C][C]-0.070803[/C][C]-0.5966[/C][C]0.276338[/C][/ROW]
[ROW][C]3[/C][C]-0.141334[/C][C]-1.1909[/C][C]0.118829[/C][/ROW]
[ROW][C]4[/C][C]-0.049116[/C][C]-0.4139[/C][C]0.340113[/C][/ROW]
[ROW][C]5[/C][C]-0.01552[/C][C]-0.1308[/C][C]0.448161[/C][/ROW]
[ROW][C]6[/C][C]-0.04375[/C][C]-0.3686[/C][C]0.356744[/C][/ROW]
[ROW][C]7[/C][C]-0.001383[/C][C]-0.0117[/C][C]0.495368[/C][/ROW]
[ROW][C]8[/C][C]-0.054228[/C][C]-0.4569[/C][C]0.324557[/C][/ROW]
[ROW][C]9[/C][C]-0.095206[/C][C]-0.8022[/C][C]0.212552[/C][/ROW]
[ROW][C]10[/C][C]-0.112042[/C][C]-0.9441[/C][C]0.174164[/C][/ROW]
[ROW][C]11[/C][C]-0.022403[/C][C]-0.1888[/C][C]0.425405[/C][/ROW]
[ROW][C]12[/C][C]-0.08698[/C][C]-0.7329[/C][C]0.233015[/C][/ROW]
[ROW][C]13[/C][C]0.264155[/C][C]2.2258[/C][C]0.014602[/C][/ROW]
[ROW][C]14[/C][C]-0.013022[/C][C]-0.1097[/C][C]0.456469[/C][/ROW]
[ROW][C]15[/C][C]-0.069051[/C][C]-0.5818[/C][C]0.281262[/C][/ROW]
[ROW][C]16[/C][C]-0.069056[/C][C]-0.5819[/C][C]0.281246[/C][/ROW]
[ROW][C]17[/C][C]0.004817[/C][C]0.0406[/C][C]0.483869[/C][/ROW]
[ROW][C]18[/C][C]0.052201[/C][C]0.4399[/C][C]0.330691[/C][/ROW]
[ROW][C]19[/C][C]-0.002227[/C][C]-0.0188[/C][C]0.492541[/C][/ROW]
[ROW][C]20[/C][C]-0.079452[/C][C]-0.6695[/C][C]0.252681[/C][/ROW]
[ROW][C]21[/C][C]-0.077818[/C][C]-0.6557[/C][C]0.257066[/C][/ROW]
[ROW][C]22[/C][C]0.016821[/C][C]0.1417[/C][C]0.443847[/C][/ROW]
[ROW][C]23[/C][C]0.212113[/C][C]1.7873[/C][C]0.039079[/C][/ROW]
[ROW][C]24[/C][C]0.148874[/C][C]1.2544[/C][C]0.1069[/C][/ROW]
[ROW][C]25[/C][C]-0.009072[/C][C]-0.0764[/C][C]0.46964[/C][/ROW]
[ROW][C]26[/C][C]-0.037745[/C][C]-0.318[/C][C]0.375693[/C][/ROW]
[ROW][C]27[/C][C]-0.04775[/C][C]-0.4023[/C][C]0.344318[/C][/ROW]
[ROW][C]28[/C][C]-0.007707[/C][C]-0.0649[/C][C]0.474201[/C][/ROW]
[ROW][C]29[/C][C]-0.055644[/C][C]-0.4689[/C][C]0.320302[/C][/ROW]
[ROW][C]30[/C][C]-0.065039[/C][C]-0.548[/C][C]0.292696[/C][/ROW]
[ROW][C]31[/C][C]-0.004215[/C][C]-0.0355[/C][C]0.485882[/C][/ROW]
[ROW][C]32[/C][C]-0.005346[/C][C]-0.045[/C][C]0.482097[/C][/ROW]
[ROW][C]33[/C][C]-0.051563[/C][C]-0.4345[/C][C]0.332629[/C][/ROW]
[ROW][C]34[/C][C]-0.061383[/C][C]-0.5172[/C][C]0.303305[/C][/ROW]
[ROW][C]35[/C][C]0.020506[/C][C]0.1728[/C][C]0.431655[/C][/ROW]
[ROW][C]36[/C][C]0.241612[/C][C]2.0359[/C][C]0.022748[/C][/ROW]
[ROW][C]37[/C][C]-0.01488[/C][C]-0.1254[/C][C]0.450289[/C][/ROW]
[ROW][C]38[/C][C]-0.060157[/C][C]-0.5069[/C][C]0.306901[/C][/ROW]
[ROW][C]39[/C][C]-0.045796[/C][C]-0.3859[/C][C]0.350368[/C][/ROW]
[ROW][C]40[/C][C]-0.022429[/C][C]-0.189[/C][C]0.42532[/C][/ROW]
[ROW][C]41[/C][C]-0.029097[/C][C]-0.2452[/C][C]0.403514[/C][/ROW]
[ROW][C]42[/C][C]0.072659[/C][C]0.6122[/C][C]0.271168[/C][/ROW]
[ROW][C]43[/C][C]0.00017[/C][C]0.0014[/C][C]0.499431[/C][/ROW]
[ROW][C]44[/C][C]-0.056513[/C][C]-0.4762[/C][C]0.3177[/C][/ROW]
[ROW][C]45[/C][C]-0.060817[/C][C]-0.5125[/C][C]0.304962[/C][/ROW]
[ROW][C]46[/C][C]-0.099959[/C][C]-0.8423[/C][C]0.201233[/C][/ROW]
[ROW][C]47[/C][C]0.133646[/C][C]1.1261[/C][C]0.131953[/C][/ROW]
[ROW][C]48[/C][C]-0.002114[/C][C]-0.0178[/C][C]0.49292[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145491&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145491&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
10.0714040.60170.274659
2-0.070803-0.59660.276338
3-0.141334-1.19090.118829
4-0.049116-0.41390.340113
5-0.01552-0.13080.448161
6-0.04375-0.36860.356744
7-0.001383-0.01170.495368
8-0.054228-0.45690.324557
9-0.095206-0.80220.212552
10-0.112042-0.94410.174164
11-0.022403-0.18880.425405
12-0.08698-0.73290.233015
130.2641552.22580.014602
14-0.013022-0.10970.456469
15-0.069051-0.58180.281262
16-0.069056-0.58190.281246
170.0048170.04060.483869
180.0522010.43990.330691
19-0.002227-0.01880.492541
20-0.079452-0.66950.252681
21-0.077818-0.65570.257066
220.0168210.14170.443847
230.2121131.78730.039079
240.1488741.25440.1069
25-0.009072-0.07640.46964
26-0.037745-0.3180.375693
27-0.04775-0.40230.344318
28-0.007707-0.06490.474201
29-0.055644-0.46890.320302
30-0.065039-0.5480.292696
31-0.004215-0.03550.485882
32-0.005346-0.0450.482097
33-0.051563-0.43450.332629
34-0.061383-0.51720.303305
350.0205060.17280.431655
360.2416122.03590.022748
37-0.01488-0.12540.450289
38-0.060157-0.50690.306901
39-0.045796-0.38590.350368
40-0.022429-0.1890.42532
41-0.029097-0.24520.403514
420.0726590.61220.271168
430.000170.00140.499431
44-0.056513-0.47620.3177
45-0.060817-0.51250.304962
46-0.099959-0.84230.201233
470.1336461.12610.131953
48-0.002114-0.01780.49292







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0714040.60170.274659
2-0.07629-0.64280.261202
3-0.131881-1.11130.135105
4-0.035953-0.30290.381407
5-0.029629-0.24970.401787
6-0.067277-0.56690.28629
7-0.009703-0.08180.467533
8-0.071822-0.60520.273494
9-0.110729-0.9330.176987
10-0.124031-1.04510.14976
11-0.052937-0.44610.328457
12-0.154863-1.30490.09807
130.2335241.96770.026504
14-0.110297-0.92940.177921
15-0.088541-0.74610.229046
16-0.039848-0.33580.36902
17-0.027298-0.230.40937
18-0.017815-0.15010.440551
19-0.028408-0.23940.405754
20-0.147521-1.2430.108973
21-0.097509-0.82160.20702
220.0074840.06310.474946
230.2203481.85670.033752
240.0719080.60590.273255
250.0429650.3620.359203
26-0.098447-0.82950.204792
270.0002070.00170.499305
280.0421070.35480.361896
29-0.040272-0.33930.367679
30-0.112075-0.94440.174094
31-0.031086-0.26190.397064
32-0.004488-0.03780.484971
330.0483830.40770.342367
340.0015170.01280.494918
350.0345380.2910.38594
360.1277151.07610.142753
37-0.113125-0.95320.17186
38-0.031314-0.26390.396327
390.0232050.19550.42277
40-0.054275-0.45730.324414
41-0.114786-0.96720.168362
420.1024010.86280.195563
430.0331190.27910.390504
44-0.006881-0.0580.476965
45-0.022303-0.18790.425736
46-0.191372-1.61250.055642
470.1026680.86510.194949
48-0.029811-0.25120.401196

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.071404 & 0.6017 & 0.274659 \tabularnewline
2 & -0.07629 & -0.6428 & 0.261202 \tabularnewline
3 & -0.131881 & -1.1113 & 0.135105 \tabularnewline
4 & -0.035953 & -0.3029 & 0.381407 \tabularnewline
5 & -0.029629 & -0.2497 & 0.401787 \tabularnewline
6 & -0.067277 & -0.5669 & 0.28629 \tabularnewline
7 & -0.009703 & -0.0818 & 0.467533 \tabularnewline
8 & -0.071822 & -0.6052 & 0.273494 \tabularnewline
9 & -0.110729 & -0.933 & 0.176987 \tabularnewline
10 & -0.124031 & -1.0451 & 0.14976 \tabularnewline
11 & -0.052937 & -0.4461 & 0.328457 \tabularnewline
12 & -0.154863 & -1.3049 & 0.09807 \tabularnewline
13 & 0.233524 & 1.9677 & 0.026504 \tabularnewline
14 & -0.110297 & -0.9294 & 0.177921 \tabularnewline
15 & -0.088541 & -0.7461 & 0.229046 \tabularnewline
16 & -0.039848 & -0.3358 & 0.36902 \tabularnewline
17 & -0.027298 & -0.23 & 0.40937 \tabularnewline
18 & -0.017815 & -0.1501 & 0.440551 \tabularnewline
19 & -0.028408 & -0.2394 & 0.405754 \tabularnewline
20 & -0.147521 & -1.243 & 0.108973 \tabularnewline
21 & -0.097509 & -0.8216 & 0.20702 \tabularnewline
22 & 0.007484 & 0.0631 & 0.474946 \tabularnewline
23 & 0.220348 & 1.8567 & 0.033752 \tabularnewline
24 & 0.071908 & 0.6059 & 0.273255 \tabularnewline
25 & 0.042965 & 0.362 & 0.359203 \tabularnewline
26 & -0.098447 & -0.8295 & 0.204792 \tabularnewline
27 & 0.000207 & 0.0017 & 0.499305 \tabularnewline
28 & 0.042107 & 0.3548 & 0.361896 \tabularnewline
29 & -0.040272 & -0.3393 & 0.367679 \tabularnewline
30 & -0.112075 & -0.9444 & 0.174094 \tabularnewline
31 & -0.031086 & -0.2619 & 0.397064 \tabularnewline
32 & -0.004488 & -0.0378 & 0.484971 \tabularnewline
33 & 0.048383 & 0.4077 & 0.342367 \tabularnewline
34 & 0.001517 & 0.0128 & 0.494918 \tabularnewline
35 & 0.034538 & 0.291 & 0.38594 \tabularnewline
36 & 0.127715 & 1.0761 & 0.142753 \tabularnewline
37 & -0.113125 & -0.9532 & 0.17186 \tabularnewline
38 & -0.031314 & -0.2639 & 0.396327 \tabularnewline
39 & 0.023205 & 0.1955 & 0.42277 \tabularnewline
40 & -0.054275 & -0.4573 & 0.324414 \tabularnewline
41 & -0.114786 & -0.9672 & 0.168362 \tabularnewline
42 & 0.102401 & 0.8628 & 0.195563 \tabularnewline
43 & 0.033119 & 0.2791 & 0.390504 \tabularnewline
44 & -0.006881 & -0.058 & 0.476965 \tabularnewline
45 & -0.022303 & -0.1879 & 0.425736 \tabularnewline
46 & -0.191372 & -1.6125 & 0.055642 \tabularnewline
47 & 0.102668 & 0.8651 & 0.194949 \tabularnewline
48 & -0.029811 & -0.2512 & 0.401196 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145491&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]0.071404[/C][C]0.6017[/C][C]0.274659[/C][/ROW]
[ROW][C]2[/C][C]-0.07629[/C][C]-0.6428[/C][C]0.261202[/C][/ROW]
[ROW][C]3[/C][C]-0.131881[/C][C]-1.1113[/C][C]0.135105[/C][/ROW]
[ROW][C]4[/C][C]-0.035953[/C][C]-0.3029[/C][C]0.381407[/C][/ROW]
[ROW][C]5[/C][C]-0.029629[/C][C]-0.2497[/C][C]0.401787[/C][/ROW]
[ROW][C]6[/C][C]-0.067277[/C][C]-0.5669[/C][C]0.28629[/C][/ROW]
[ROW][C]7[/C][C]-0.009703[/C][C]-0.0818[/C][C]0.467533[/C][/ROW]
[ROW][C]8[/C][C]-0.071822[/C][C]-0.6052[/C][C]0.273494[/C][/ROW]
[ROW][C]9[/C][C]-0.110729[/C][C]-0.933[/C][C]0.176987[/C][/ROW]
[ROW][C]10[/C][C]-0.124031[/C][C]-1.0451[/C][C]0.14976[/C][/ROW]
[ROW][C]11[/C][C]-0.052937[/C][C]-0.4461[/C][C]0.328457[/C][/ROW]
[ROW][C]12[/C][C]-0.154863[/C][C]-1.3049[/C][C]0.09807[/C][/ROW]
[ROW][C]13[/C][C]0.233524[/C][C]1.9677[/C][C]0.026504[/C][/ROW]
[ROW][C]14[/C][C]-0.110297[/C][C]-0.9294[/C][C]0.177921[/C][/ROW]
[ROW][C]15[/C][C]-0.088541[/C][C]-0.7461[/C][C]0.229046[/C][/ROW]
[ROW][C]16[/C][C]-0.039848[/C][C]-0.3358[/C][C]0.36902[/C][/ROW]
[ROW][C]17[/C][C]-0.027298[/C][C]-0.23[/C][C]0.40937[/C][/ROW]
[ROW][C]18[/C][C]-0.017815[/C][C]-0.1501[/C][C]0.440551[/C][/ROW]
[ROW][C]19[/C][C]-0.028408[/C][C]-0.2394[/C][C]0.405754[/C][/ROW]
[ROW][C]20[/C][C]-0.147521[/C][C]-1.243[/C][C]0.108973[/C][/ROW]
[ROW][C]21[/C][C]-0.097509[/C][C]-0.8216[/C][C]0.20702[/C][/ROW]
[ROW][C]22[/C][C]0.007484[/C][C]0.0631[/C][C]0.474946[/C][/ROW]
[ROW][C]23[/C][C]0.220348[/C][C]1.8567[/C][C]0.033752[/C][/ROW]
[ROW][C]24[/C][C]0.071908[/C][C]0.6059[/C][C]0.273255[/C][/ROW]
[ROW][C]25[/C][C]0.042965[/C][C]0.362[/C][C]0.359203[/C][/ROW]
[ROW][C]26[/C][C]-0.098447[/C][C]-0.8295[/C][C]0.204792[/C][/ROW]
[ROW][C]27[/C][C]0.000207[/C][C]0.0017[/C][C]0.499305[/C][/ROW]
[ROW][C]28[/C][C]0.042107[/C][C]0.3548[/C][C]0.361896[/C][/ROW]
[ROW][C]29[/C][C]-0.040272[/C][C]-0.3393[/C][C]0.367679[/C][/ROW]
[ROW][C]30[/C][C]-0.112075[/C][C]-0.9444[/C][C]0.174094[/C][/ROW]
[ROW][C]31[/C][C]-0.031086[/C][C]-0.2619[/C][C]0.397064[/C][/ROW]
[ROW][C]32[/C][C]-0.004488[/C][C]-0.0378[/C][C]0.484971[/C][/ROW]
[ROW][C]33[/C][C]0.048383[/C][C]0.4077[/C][C]0.342367[/C][/ROW]
[ROW][C]34[/C][C]0.001517[/C][C]0.0128[/C][C]0.494918[/C][/ROW]
[ROW][C]35[/C][C]0.034538[/C][C]0.291[/C][C]0.38594[/C][/ROW]
[ROW][C]36[/C][C]0.127715[/C][C]1.0761[/C][C]0.142753[/C][/ROW]
[ROW][C]37[/C][C]-0.113125[/C][C]-0.9532[/C][C]0.17186[/C][/ROW]
[ROW][C]38[/C][C]-0.031314[/C][C]-0.2639[/C][C]0.396327[/C][/ROW]
[ROW][C]39[/C][C]0.023205[/C][C]0.1955[/C][C]0.42277[/C][/ROW]
[ROW][C]40[/C][C]-0.054275[/C][C]-0.4573[/C][C]0.324414[/C][/ROW]
[ROW][C]41[/C][C]-0.114786[/C][C]-0.9672[/C][C]0.168362[/C][/ROW]
[ROW][C]42[/C][C]0.102401[/C][C]0.8628[/C][C]0.195563[/C][/ROW]
[ROW][C]43[/C][C]0.033119[/C][C]0.2791[/C][C]0.390504[/C][/ROW]
[ROW][C]44[/C][C]-0.006881[/C][C]-0.058[/C][C]0.476965[/C][/ROW]
[ROW][C]45[/C][C]-0.022303[/C][C]-0.1879[/C][C]0.425736[/C][/ROW]
[ROW][C]46[/C][C]-0.191372[/C][C]-1.6125[/C][C]0.055642[/C][/ROW]
[ROW][C]47[/C][C]0.102668[/C][C]0.8651[/C][C]0.194949[/C][/ROW]
[ROW][C]48[/C][C]-0.029811[/C][C]-0.2512[/C][C]0.401196[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145491&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145491&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
10.0714040.60170.274659
2-0.07629-0.64280.261202
3-0.131881-1.11130.135105
4-0.035953-0.30290.381407
5-0.029629-0.24970.401787
6-0.067277-0.56690.28629
7-0.009703-0.08180.467533
8-0.071822-0.60520.273494
9-0.110729-0.9330.176987
10-0.124031-1.04510.14976
11-0.052937-0.44610.328457
12-0.154863-1.30490.09807
130.2335241.96770.026504
14-0.110297-0.92940.177921
15-0.088541-0.74610.229046
16-0.039848-0.33580.36902
17-0.027298-0.230.40937
18-0.017815-0.15010.440551
19-0.028408-0.23940.405754
20-0.147521-1.2430.108973
21-0.097509-0.82160.20702
220.0074840.06310.474946
230.2203481.85670.033752
240.0719080.60590.273255
250.0429650.3620.359203
26-0.098447-0.82950.204792
270.0002070.00170.499305
280.0421070.35480.361896
29-0.040272-0.33930.367679
30-0.112075-0.94440.174094
31-0.031086-0.26190.397064
32-0.004488-0.03780.484971
330.0483830.40770.342367
340.0015170.01280.494918
350.0345380.2910.38594
360.1277151.07610.142753
37-0.113125-0.95320.17186
38-0.031314-0.26390.396327
390.0232050.19550.42277
40-0.054275-0.45730.324414
41-0.114786-0.96720.168362
420.1024010.86280.195563
430.0331190.27910.390504
44-0.006881-0.0580.476965
45-0.022303-0.18790.425736
46-0.191372-1.61250.055642
470.1026680.86510.194949
48-0.029811-0.25120.401196



Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = ;
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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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')