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Author's title

Author*Unverified author*
R Software Modulerwasp_autocorrelation.wasp
Title produced by software(Partial) Autocorrelation Function
Date of computationTue, 12 May 2009 23:34:49 -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/t1242193012ohbqcly9drncsgz.htm/, Retrieved Wed, 08 May 2024 08:06:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39770, Retrieved Wed, 08 May 2024 08:06:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [autocorrelatie- u...] [2009-05-13 05:34:49] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
11025,1
10853,8
12252,6
11839,4
11669,1
11601,4
11178,4
9516,4
12102,8
12989
11610,2
10205,5
11356,2
11307,1
12648,6
11947,2
11714,1
12192,5
11268,8
9097,4
12639,8
13040,1
11687,3
11191,7
11391,9
11793,1
13933,2
12778,1
11810,3
13698,4
11956,6
10723,8
13938,9
13979,8
13807,4
12973,9
12509,8
12934,1
14908,3
13772,1
13012,6
14049,9
11816,5
11593,2
14466,2
13615,9
14733,9
13880,7
13527,5
13584
16170,2
13260,6
14741,9
15486,5
13154,5
12621,2
15031,6
15452,4
15428
13105,9
14716,8
14180
16202,2
14392,4
15140,6
15960,1
14351,3
13230,2
15202,1
17056
16077,7
13348,2
16707,5
16792,6
16831,3
17804,5
16370,2
17602,5
17065,6
14427,9
17818,5
18027,6




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=39770&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=39770&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39770&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
10.682336.17880
20.5457044.94162e-06
30.6425555.81860
40.6288855.69480
50.5968125.40440
60.6159515.57770
70.5105494.62327e-06
80.5042164.56599e-06
90.408073.69520.000198
100.3185992.8850.0025
110.4312493.90519.6e-05
120.5709925.17061e-06
130.3373933.05520.001517
140.2370142.14630.017404
150.2909682.63480.005031
160.3079252.78840.003291
170.2845012.57630.00589
180.3013242.72860.00389
190.237822.15350.017106
200.2048131.85470.03362
210.1329331.20380.116072
220.0845810.76590.222964
230.1790321.62120.054407
240.2441872.21120.014903
250.0930210.84230.201023
260.0030660.02780.488959
270.0260180.23560.407166
280.0630270.57070.284869
290.0172410.15610.438161
300.0314230.28450.388354
310.0070740.06410.47454
32-0.055032-0.49830.30979
33-0.114016-1.03250.152446
34-0.12583-1.13940.128918
35-0.071045-0.64330.2609
36-0.009149-0.08290.467086
37-0.113624-1.02890.153273
38-0.196692-1.78110.039298
39-0.160409-1.45260.075081
40-0.110915-1.00440.159075
41-0.154602-1.40.082645
42-0.134548-1.21840.113287
43-0.156568-1.41780.080021
44-0.199223-1.8040.037449
45-0.252948-2.29050.012279
46-0.268045-2.42730.008702
47-0.22881-2.0720.020706
48-0.160265-1.45130.07526

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.68233 & 6.1788 & 0 \tabularnewline
2 & 0.545704 & 4.9416 & 2e-06 \tabularnewline
3 & 0.642555 & 5.8186 & 0 \tabularnewline
4 & 0.628885 & 5.6948 & 0 \tabularnewline
5 & 0.596812 & 5.4044 & 0 \tabularnewline
6 & 0.615951 & 5.5777 & 0 \tabularnewline
7 & 0.510549 & 4.6232 & 7e-06 \tabularnewline
8 & 0.504216 & 4.5659 & 9e-06 \tabularnewline
9 & 0.40807 & 3.6952 & 0.000198 \tabularnewline
10 & 0.318599 & 2.885 & 0.0025 \tabularnewline
11 & 0.431249 & 3.9051 & 9.6e-05 \tabularnewline
12 & 0.570992 & 5.1706 & 1e-06 \tabularnewline
13 & 0.337393 & 3.0552 & 0.001517 \tabularnewline
14 & 0.237014 & 2.1463 & 0.017404 \tabularnewline
15 & 0.290968 & 2.6348 & 0.005031 \tabularnewline
16 & 0.307925 & 2.7884 & 0.003291 \tabularnewline
17 & 0.284501 & 2.5763 & 0.00589 \tabularnewline
18 & 0.301324 & 2.7286 & 0.00389 \tabularnewline
19 & 0.23782 & 2.1535 & 0.017106 \tabularnewline
20 & 0.204813 & 1.8547 & 0.03362 \tabularnewline
21 & 0.132933 & 1.2038 & 0.116072 \tabularnewline
22 & 0.084581 & 0.7659 & 0.222964 \tabularnewline
23 & 0.179032 & 1.6212 & 0.054407 \tabularnewline
24 & 0.244187 & 2.2112 & 0.014903 \tabularnewline
25 & 0.093021 & 0.8423 & 0.201023 \tabularnewline
26 & 0.003066 & 0.0278 & 0.488959 \tabularnewline
27 & 0.026018 & 0.2356 & 0.407166 \tabularnewline
28 & 0.063027 & 0.5707 & 0.284869 \tabularnewline
29 & 0.017241 & 0.1561 & 0.438161 \tabularnewline
30 & 0.031423 & 0.2845 & 0.388354 \tabularnewline
31 & 0.007074 & 0.0641 & 0.47454 \tabularnewline
32 & -0.055032 & -0.4983 & 0.30979 \tabularnewline
33 & -0.114016 & -1.0325 & 0.152446 \tabularnewline
34 & -0.12583 & -1.1394 & 0.128918 \tabularnewline
35 & -0.071045 & -0.6433 & 0.2609 \tabularnewline
36 & -0.009149 & -0.0829 & 0.467086 \tabularnewline
37 & -0.113624 & -1.0289 & 0.153273 \tabularnewline
38 & -0.196692 & -1.7811 & 0.039298 \tabularnewline
39 & -0.160409 & -1.4526 & 0.075081 \tabularnewline
40 & -0.110915 & -1.0044 & 0.159075 \tabularnewline
41 & -0.154602 & -1.4 & 0.082645 \tabularnewline
42 & -0.134548 & -1.2184 & 0.113287 \tabularnewline
43 & -0.156568 & -1.4178 & 0.080021 \tabularnewline
44 & -0.199223 & -1.804 & 0.037449 \tabularnewline
45 & -0.252948 & -2.2905 & 0.012279 \tabularnewline
46 & -0.268045 & -2.4273 & 0.008702 \tabularnewline
47 & -0.22881 & -2.072 & 0.020706 \tabularnewline
48 & -0.160265 & -1.4513 & 0.07526 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39770&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]0.68233[/C][C]6.1788[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.545704[/C][C]4.9416[/C][C]2e-06[/C][/ROW]
[ROW][C]3[/C][C]0.642555[/C][C]5.8186[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.628885[/C][C]5.6948[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.596812[/C][C]5.4044[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.615951[/C][C]5.5777[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.510549[/C][C]4.6232[/C][C]7e-06[/C][/ROW]
[ROW][C]8[/C][C]0.504216[/C][C]4.5659[/C][C]9e-06[/C][/ROW]
[ROW][C]9[/C][C]0.40807[/C][C]3.6952[/C][C]0.000198[/C][/ROW]
[ROW][C]10[/C][C]0.318599[/C][C]2.885[/C][C]0.0025[/C][/ROW]
[ROW][C]11[/C][C]0.431249[/C][C]3.9051[/C][C]9.6e-05[/C][/ROW]
[ROW][C]12[/C][C]0.570992[/C][C]5.1706[/C][C]1e-06[/C][/ROW]
[ROW][C]13[/C][C]0.337393[/C][C]3.0552[/C][C]0.001517[/C][/ROW]
[ROW][C]14[/C][C]0.237014[/C][C]2.1463[/C][C]0.017404[/C][/ROW]
[ROW][C]15[/C][C]0.290968[/C][C]2.6348[/C][C]0.005031[/C][/ROW]
[ROW][C]16[/C][C]0.307925[/C][C]2.7884[/C][C]0.003291[/C][/ROW]
[ROW][C]17[/C][C]0.284501[/C][C]2.5763[/C][C]0.00589[/C][/ROW]
[ROW][C]18[/C][C]0.301324[/C][C]2.7286[/C][C]0.00389[/C][/ROW]
[ROW][C]19[/C][C]0.23782[/C][C]2.1535[/C][C]0.017106[/C][/ROW]
[ROW][C]20[/C][C]0.204813[/C][C]1.8547[/C][C]0.03362[/C][/ROW]
[ROW][C]21[/C][C]0.132933[/C][C]1.2038[/C][C]0.116072[/C][/ROW]
[ROW][C]22[/C][C]0.084581[/C][C]0.7659[/C][C]0.222964[/C][/ROW]
[ROW][C]23[/C][C]0.179032[/C][C]1.6212[/C][C]0.054407[/C][/ROW]
[ROW][C]24[/C][C]0.244187[/C][C]2.2112[/C][C]0.014903[/C][/ROW]
[ROW][C]25[/C][C]0.093021[/C][C]0.8423[/C][C]0.201023[/C][/ROW]
[ROW][C]26[/C][C]0.003066[/C][C]0.0278[/C][C]0.488959[/C][/ROW]
[ROW][C]27[/C][C]0.026018[/C][C]0.2356[/C][C]0.407166[/C][/ROW]
[ROW][C]28[/C][C]0.063027[/C][C]0.5707[/C][C]0.284869[/C][/ROW]
[ROW][C]29[/C][C]0.017241[/C][C]0.1561[/C][C]0.438161[/C][/ROW]
[ROW][C]30[/C][C]0.031423[/C][C]0.2845[/C][C]0.388354[/C][/ROW]
[ROW][C]31[/C][C]0.007074[/C][C]0.0641[/C][C]0.47454[/C][/ROW]
[ROW][C]32[/C][C]-0.055032[/C][C]-0.4983[/C][C]0.30979[/C][/ROW]
[ROW][C]33[/C][C]-0.114016[/C][C]-1.0325[/C][C]0.152446[/C][/ROW]
[ROW][C]34[/C][C]-0.12583[/C][C]-1.1394[/C][C]0.128918[/C][/ROW]
[ROW][C]35[/C][C]-0.071045[/C][C]-0.6433[/C][C]0.2609[/C][/ROW]
[ROW][C]36[/C][C]-0.009149[/C][C]-0.0829[/C][C]0.467086[/C][/ROW]
[ROW][C]37[/C][C]-0.113624[/C][C]-1.0289[/C][C]0.153273[/C][/ROW]
[ROW][C]38[/C][C]-0.196692[/C][C]-1.7811[/C][C]0.039298[/C][/ROW]
[ROW][C]39[/C][C]-0.160409[/C][C]-1.4526[/C][C]0.075081[/C][/ROW]
[ROW][C]40[/C][C]-0.110915[/C][C]-1.0044[/C][C]0.159075[/C][/ROW]
[ROW][C]41[/C][C]-0.154602[/C][C]-1.4[/C][C]0.082645[/C][/ROW]
[ROW][C]42[/C][C]-0.134548[/C][C]-1.2184[/C][C]0.113287[/C][/ROW]
[ROW][C]43[/C][C]-0.156568[/C][C]-1.4178[/C][C]0.080021[/C][/ROW]
[ROW][C]44[/C][C]-0.199223[/C][C]-1.804[/C][C]0.037449[/C][/ROW]
[ROW][C]45[/C][C]-0.252948[/C][C]-2.2905[/C][C]0.012279[/C][/ROW]
[ROW][C]46[/C][C]-0.268045[/C][C]-2.4273[/C][C]0.008702[/C][/ROW]
[ROW][C]47[/C][C]-0.22881[/C][C]-2.072[/C][C]0.020706[/C][/ROW]
[ROW][C]48[/C][C]-0.160265[/C][C]-1.4513[/C][C]0.07526[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39770&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39770&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
10.682336.17880
20.5457044.94162e-06
30.6425555.81860
40.6288855.69480
50.5968125.40440
60.6159515.57770
70.5105494.62327e-06
80.5042164.56599e-06
90.408073.69520.000198
100.3185992.8850.0025
110.4312493.90519.6e-05
120.5709925.17061e-06
130.3373933.05520.001517
140.2370142.14630.017404
150.2909682.63480.005031
160.3079252.78840.003291
170.2845012.57630.00589
180.3013242.72860.00389
190.237822.15350.017106
200.2048131.85470.03362
210.1329331.20380.116072
220.0845810.76590.222964
230.1790321.62120.054407
240.2441872.21120.014903
250.0930210.84230.201023
260.0030660.02780.488959
270.0260180.23560.407166
280.0630270.57070.284869
290.0172410.15610.438161
300.0314230.28450.388354
310.0070740.06410.47454
32-0.055032-0.49830.30979
33-0.114016-1.03250.152446
34-0.12583-1.13940.128918
35-0.071045-0.64330.2609
36-0.009149-0.08290.467086
37-0.113624-1.02890.153273
38-0.196692-1.78110.039298
39-0.160409-1.45260.075081
40-0.110915-1.00440.159075
41-0.154602-1.40.082645
42-0.134548-1.21840.113287
43-0.156568-1.41780.080021
44-0.199223-1.8040.037449
45-0.252948-2.29050.012279
46-0.268045-2.42730.008702
47-0.22881-2.0720.020706
48-0.160265-1.45130.07526







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.682336.17880
20.1499361.35770.089138
30.4282613.87810.000106
40.1382221.25170.107127
50.1793941.62450.054055
60.1471361.33240.093214
7-0.148579-1.34540.091097
80.0666510.60350.273904
9-0.350111-3.17040.001071
10-0.171354-1.55170.062296
110.1582111.43270.077878
120.4725494.27912.5e-05
13-0.179723-1.62750.053738
14-0.11996-1.08630.140268
15-0.15019-1.360.088775
160.0252180.22840.409969
17-0.030564-0.27680.391325
180.0600150.54350.294145
190.0234220.21210.416279
20-0.084379-0.76410.223505
210.0287560.26040.397607
22-0.093289-0.84480.20035
230.0216360.19590.422578
24-0.079322-0.71830.237309
250.1209121.09490.138381
26-0.078575-0.71150.239387
27-0.026619-0.2410.405059
280.0035090.03180.487363
29-0.171035-1.54880.062642
300.0515540.46680.320926
31-0.04215-0.38170.35184
320.0719260.65130.25833
33-0.077744-0.7040.241714
340.0209730.18990.424921
35-0.076654-0.69410.24478
360.0662360.59980.275149
370.0052190.04730.481211
38-0.004053-0.03670.485405
390.0131590.11920.45272
400.0112160.10160.459674
41-0.006585-0.05960.476297
42-0.122841-1.11240.134614
43-0.087584-0.79310.215003
44-0.036646-0.33180.370428
45-0.016846-0.15250.439567
46-0.061213-0.55430.290439
47-0.006185-0.0560.477736
480.0821110.74350.229638

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.68233 & 6.1788 & 0 \tabularnewline
2 & 0.149936 & 1.3577 & 0.089138 \tabularnewline
3 & 0.428261 & 3.8781 & 0.000106 \tabularnewline
4 & 0.138222 & 1.2517 & 0.107127 \tabularnewline
5 & 0.179394 & 1.6245 & 0.054055 \tabularnewline
6 & 0.147136 & 1.3324 & 0.093214 \tabularnewline
7 & -0.148579 & -1.3454 & 0.091097 \tabularnewline
8 & 0.066651 & 0.6035 & 0.273904 \tabularnewline
9 & -0.350111 & -3.1704 & 0.001071 \tabularnewline
10 & -0.171354 & -1.5517 & 0.062296 \tabularnewline
11 & 0.158211 & 1.4327 & 0.077878 \tabularnewline
12 & 0.472549 & 4.2791 & 2.5e-05 \tabularnewline
13 & -0.179723 & -1.6275 & 0.053738 \tabularnewline
14 & -0.11996 & -1.0863 & 0.140268 \tabularnewline
15 & -0.15019 & -1.36 & 0.088775 \tabularnewline
16 & 0.025218 & 0.2284 & 0.409969 \tabularnewline
17 & -0.030564 & -0.2768 & 0.391325 \tabularnewline
18 & 0.060015 & 0.5435 & 0.294145 \tabularnewline
19 & 0.023422 & 0.2121 & 0.416279 \tabularnewline
20 & -0.084379 & -0.7641 & 0.223505 \tabularnewline
21 & 0.028756 & 0.2604 & 0.397607 \tabularnewline
22 & -0.093289 & -0.8448 & 0.20035 \tabularnewline
23 & 0.021636 & 0.1959 & 0.422578 \tabularnewline
24 & -0.079322 & -0.7183 & 0.237309 \tabularnewline
25 & 0.120912 & 1.0949 & 0.138381 \tabularnewline
26 & -0.078575 & -0.7115 & 0.239387 \tabularnewline
27 & -0.026619 & -0.241 & 0.405059 \tabularnewline
28 & 0.003509 & 0.0318 & 0.487363 \tabularnewline
29 & -0.171035 & -1.5488 & 0.062642 \tabularnewline
30 & 0.051554 & 0.4668 & 0.320926 \tabularnewline
31 & -0.04215 & -0.3817 & 0.35184 \tabularnewline
32 & 0.071926 & 0.6513 & 0.25833 \tabularnewline
33 & -0.077744 & -0.704 & 0.241714 \tabularnewline
34 & 0.020973 & 0.1899 & 0.424921 \tabularnewline
35 & -0.076654 & -0.6941 & 0.24478 \tabularnewline
36 & 0.066236 & 0.5998 & 0.275149 \tabularnewline
37 & 0.005219 & 0.0473 & 0.481211 \tabularnewline
38 & -0.004053 & -0.0367 & 0.485405 \tabularnewline
39 & 0.013159 & 0.1192 & 0.45272 \tabularnewline
40 & 0.011216 & 0.1016 & 0.459674 \tabularnewline
41 & -0.006585 & -0.0596 & 0.476297 \tabularnewline
42 & -0.122841 & -1.1124 & 0.134614 \tabularnewline
43 & -0.087584 & -0.7931 & 0.215003 \tabularnewline
44 & -0.036646 & -0.3318 & 0.370428 \tabularnewline
45 & -0.016846 & -0.1525 & 0.439567 \tabularnewline
46 & -0.061213 & -0.5543 & 0.290439 \tabularnewline
47 & -0.006185 & -0.056 & 0.477736 \tabularnewline
48 & 0.082111 & 0.7435 & 0.229638 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39770&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]0.68233[/C][C]6.1788[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.149936[/C][C]1.3577[/C][C]0.089138[/C][/ROW]
[ROW][C]3[/C][C]0.428261[/C][C]3.8781[/C][C]0.000106[/C][/ROW]
[ROW][C]4[/C][C]0.138222[/C][C]1.2517[/C][C]0.107127[/C][/ROW]
[ROW][C]5[/C][C]0.179394[/C][C]1.6245[/C][C]0.054055[/C][/ROW]
[ROW][C]6[/C][C]0.147136[/C][C]1.3324[/C][C]0.093214[/C][/ROW]
[ROW][C]7[/C][C]-0.148579[/C][C]-1.3454[/C][C]0.091097[/C][/ROW]
[ROW][C]8[/C][C]0.066651[/C][C]0.6035[/C][C]0.273904[/C][/ROW]
[ROW][C]9[/C][C]-0.350111[/C][C]-3.1704[/C][C]0.001071[/C][/ROW]
[ROW][C]10[/C][C]-0.171354[/C][C]-1.5517[/C][C]0.062296[/C][/ROW]
[ROW][C]11[/C][C]0.158211[/C][C]1.4327[/C][C]0.077878[/C][/ROW]
[ROW][C]12[/C][C]0.472549[/C][C]4.2791[/C][C]2.5e-05[/C][/ROW]
[ROW][C]13[/C][C]-0.179723[/C][C]-1.6275[/C][C]0.053738[/C][/ROW]
[ROW][C]14[/C][C]-0.11996[/C][C]-1.0863[/C][C]0.140268[/C][/ROW]
[ROW][C]15[/C][C]-0.15019[/C][C]-1.36[/C][C]0.088775[/C][/ROW]
[ROW][C]16[/C][C]0.025218[/C][C]0.2284[/C][C]0.409969[/C][/ROW]
[ROW][C]17[/C][C]-0.030564[/C][C]-0.2768[/C][C]0.391325[/C][/ROW]
[ROW][C]18[/C][C]0.060015[/C][C]0.5435[/C][C]0.294145[/C][/ROW]
[ROW][C]19[/C][C]0.023422[/C][C]0.2121[/C][C]0.416279[/C][/ROW]
[ROW][C]20[/C][C]-0.084379[/C][C]-0.7641[/C][C]0.223505[/C][/ROW]
[ROW][C]21[/C][C]0.028756[/C][C]0.2604[/C][C]0.397607[/C][/ROW]
[ROW][C]22[/C][C]-0.093289[/C][C]-0.8448[/C][C]0.20035[/C][/ROW]
[ROW][C]23[/C][C]0.021636[/C][C]0.1959[/C][C]0.422578[/C][/ROW]
[ROW][C]24[/C][C]-0.079322[/C][C]-0.7183[/C][C]0.237309[/C][/ROW]
[ROW][C]25[/C][C]0.120912[/C][C]1.0949[/C][C]0.138381[/C][/ROW]
[ROW][C]26[/C][C]-0.078575[/C][C]-0.7115[/C][C]0.239387[/C][/ROW]
[ROW][C]27[/C][C]-0.026619[/C][C]-0.241[/C][C]0.405059[/C][/ROW]
[ROW][C]28[/C][C]0.003509[/C][C]0.0318[/C][C]0.487363[/C][/ROW]
[ROW][C]29[/C][C]-0.171035[/C][C]-1.5488[/C][C]0.062642[/C][/ROW]
[ROW][C]30[/C][C]0.051554[/C][C]0.4668[/C][C]0.320926[/C][/ROW]
[ROW][C]31[/C][C]-0.04215[/C][C]-0.3817[/C][C]0.35184[/C][/ROW]
[ROW][C]32[/C][C]0.071926[/C][C]0.6513[/C][C]0.25833[/C][/ROW]
[ROW][C]33[/C][C]-0.077744[/C][C]-0.704[/C][C]0.241714[/C][/ROW]
[ROW][C]34[/C][C]0.020973[/C][C]0.1899[/C][C]0.424921[/C][/ROW]
[ROW][C]35[/C][C]-0.076654[/C][C]-0.6941[/C][C]0.24478[/C][/ROW]
[ROW][C]36[/C][C]0.066236[/C][C]0.5998[/C][C]0.275149[/C][/ROW]
[ROW][C]37[/C][C]0.005219[/C][C]0.0473[/C][C]0.481211[/C][/ROW]
[ROW][C]38[/C][C]-0.004053[/C][C]-0.0367[/C][C]0.485405[/C][/ROW]
[ROW][C]39[/C][C]0.013159[/C][C]0.1192[/C][C]0.45272[/C][/ROW]
[ROW][C]40[/C][C]0.011216[/C][C]0.1016[/C][C]0.459674[/C][/ROW]
[ROW][C]41[/C][C]-0.006585[/C][C]-0.0596[/C][C]0.476297[/C][/ROW]
[ROW][C]42[/C][C]-0.122841[/C][C]-1.1124[/C][C]0.134614[/C][/ROW]
[ROW][C]43[/C][C]-0.087584[/C][C]-0.7931[/C][C]0.215003[/C][/ROW]
[ROW][C]44[/C][C]-0.036646[/C][C]-0.3318[/C][C]0.370428[/C][/ROW]
[ROW][C]45[/C][C]-0.016846[/C][C]-0.1525[/C][C]0.439567[/C][/ROW]
[ROW][C]46[/C][C]-0.061213[/C][C]-0.5543[/C][C]0.290439[/C][/ROW]
[ROW][C]47[/C][C]-0.006185[/C][C]-0.056[/C][C]0.477736[/C][/ROW]
[ROW][C]48[/C][C]0.082111[/C][C]0.7435[/C][C]0.229638[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39770&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39770&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
10.682336.17880
20.1499361.35770.089138
30.4282613.87810.000106
40.1382221.25170.107127
50.1793941.62450.054055
60.1471361.33240.093214
7-0.148579-1.34540.091097
80.0666510.60350.273904
9-0.350111-3.17040.001071
10-0.171354-1.55170.062296
110.1582111.43270.077878
120.4725494.27912.5e-05
13-0.179723-1.62750.053738
14-0.11996-1.08630.140268
15-0.15019-1.360.088775
160.0252180.22840.409969
17-0.030564-0.27680.391325
180.0600150.54350.294145
190.0234220.21210.416279
20-0.084379-0.76410.223505
210.0287560.26040.397607
22-0.093289-0.84480.20035
230.0216360.19590.422578
24-0.079322-0.71830.237309
250.1209121.09490.138381
26-0.078575-0.71150.239387
27-0.026619-0.2410.405059
280.0035090.03180.487363
29-0.171035-1.54880.062642
300.0515540.46680.320926
31-0.04215-0.38170.35184
320.0719260.65130.25833
33-0.077744-0.7040.241714
340.0209730.18990.424921
35-0.076654-0.69410.24478
360.0662360.59980.275149
370.0052190.04730.481211
38-0.004053-0.03670.485405
390.0131590.11920.45272
400.0112160.10160.459674
41-0.006585-0.05960.476297
42-0.122841-1.11240.134614
43-0.087584-0.79310.215003
44-0.036646-0.33180.370428
45-0.016846-0.15250.439567
46-0.061213-0.55430.290439
47-0.006185-0.0560.477736
480.0821110.74350.229638



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