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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, 22 Nov 2011 13:28:39 -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/22/t1321986572cm9dsqgurm48fif.htm/, Retrieved Thu, 28 Mar 2024 12:53:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=146357, Retrieved Thu, 28 Mar 2024 12:53:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W12
Estimated Impact74
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [Autocorrelatie ge...] [2011-11-22 18:28:39] [ba82c27af75bb26243060ecfbd0283aa] [Current]
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Dataseries X:
6,19
6,31
6,35
6,38
6,38
6,36
6,34
6,49
6,5
6,5
6,55
6,57
6,65
6,61
6,66
6,73
6,73
6,75
6,75
6,71
6,77
6,83
6,9
6,89
7,14
7,35
7,43
7,42
7,41
7,46
7,47
7,45
7,47
7,44
7,43
7,43
7,44
7,49
7,48
7,43
7,33
7,42
7,98
7,41
7,25
7,04
6,98
6,94
6,9
6,92
6,86
6,86
6,89
6,91
6,9
6,88
6,78
6,79
6,81
6,78




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146357&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146357&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146357&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'Gertrude Mary Cox' @ cox.wessa.net







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9198757.12530
20.8554576.62630
30.7966336.17070
40.7422325.74930
50.6833415.29311e-06
60.6117594.73877e-06
70.5401214.18384.7e-05
80.4753813.68230.000249
90.4135373.20320.001088
100.3527822.73260.004121
110.2885042.23470.014585
120.2206431.70910.046301
130.152511.18130.121066
140.0719320.55720.289737
150.0034490.02670.489388
16-0.054505-0.42220.337197
17-0.117703-0.91170.182782
18-0.18225-1.41170.081601
19-0.258371-2.00130.024943
20-0.31952-2.4750.008083
21-0.370596-2.87060.002826
22-0.410553-3.18010.001165
23-0.443419-3.43470.000541
24-0.472484-3.65980.000267
25-0.482607-3.73830.000208
26-0.476145-3.68820.000244
27-0.460525-3.56720.000358
28-0.44972-3.48350.000465
29-0.438734-3.39840.000605
30-0.417757-3.23590.000988
31-0.398905-3.08990.001517
32-0.376287-2.91470.002499
33-0.349353-2.70610.004426
34-0.318167-2.46450.008301
35-0.288892-2.23770.014481
36-0.268687-2.08120.020844
37-0.240954-1.86640.033436
38-0.20652-1.59970.05746
39-0.171075-1.32510.095074
40-0.140702-1.08990.140063
41-0.120609-0.93420.176965
42-0.095896-0.74280.230247
43-0.019005-0.14720.441729
440.0161660.12520.450384
450.042690.33070.371021
460.0523590.40560.343249
470.0569880.44140.330245
480.0602210.46650.321285

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.919875 & 7.1253 & 0 \tabularnewline
2 & 0.855457 & 6.6263 & 0 \tabularnewline
3 & 0.796633 & 6.1707 & 0 \tabularnewline
4 & 0.742232 & 5.7493 & 0 \tabularnewline
5 & 0.683341 & 5.2931 & 1e-06 \tabularnewline
6 & 0.611759 & 4.7387 & 7e-06 \tabularnewline
7 & 0.540121 & 4.1838 & 4.7e-05 \tabularnewline
8 & 0.475381 & 3.6823 & 0.000249 \tabularnewline
9 & 0.413537 & 3.2032 & 0.001088 \tabularnewline
10 & 0.352782 & 2.7326 & 0.004121 \tabularnewline
11 & 0.288504 & 2.2347 & 0.014585 \tabularnewline
12 & 0.220643 & 1.7091 & 0.046301 \tabularnewline
13 & 0.15251 & 1.1813 & 0.121066 \tabularnewline
14 & 0.071932 & 0.5572 & 0.289737 \tabularnewline
15 & 0.003449 & 0.0267 & 0.489388 \tabularnewline
16 & -0.054505 & -0.4222 & 0.337197 \tabularnewline
17 & -0.117703 & -0.9117 & 0.182782 \tabularnewline
18 & -0.18225 & -1.4117 & 0.081601 \tabularnewline
19 & -0.258371 & -2.0013 & 0.024943 \tabularnewline
20 & -0.31952 & -2.475 & 0.008083 \tabularnewline
21 & -0.370596 & -2.8706 & 0.002826 \tabularnewline
22 & -0.410553 & -3.1801 & 0.001165 \tabularnewline
23 & -0.443419 & -3.4347 & 0.000541 \tabularnewline
24 & -0.472484 & -3.6598 & 0.000267 \tabularnewline
25 & -0.482607 & -3.7383 & 0.000208 \tabularnewline
26 & -0.476145 & -3.6882 & 0.000244 \tabularnewline
27 & -0.460525 & -3.5672 & 0.000358 \tabularnewline
28 & -0.44972 & -3.4835 & 0.000465 \tabularnewline
29 & -0.438734 & -3.3984 & 0.000605 \tabularnewline
30 & -0.417757 & -3.2359 & 0.000988 \tabularnewline
31 & -0.398905 & -3.0899 & 0.001517 \tabularnewline
32 & -0.376287 & -2.9147 & 0.002499 \tabularnewline
33 & -0.349353 & -2.7061 & 0.004426 \tabularnewline
34 & -0.318167 & -2.4645 & 0.008301 \tabularnewline
35 & -0.288892 & -2.2377 & 0.014481 \tabularnewline
36 & -0.268687 & -2.0812 & 0.020844 \tabularnewline
37 & -0.240954 & -1.8664 & 0.033436 \tabularnewline
38 & -0.20652 & -1.5997 & 0.05746 \tabularnewline
39 & -0.171075 & -1.3251 & 0.095074 \tabularnewline
40 & -0.140702 & -1.0899 & 0.140063 \tabularnewline
41 & -0.120609 & -0.9342 & 0.176965 \tabularnewline
42 & -0.095896 & -0.7428 & 0.230247 \tabularnewline
43 & -0.019005 & -0.1472 & 0.441729 \tabularnewline
44 & 0.016166 & 0.1252 & 0.450384 \tabularnewline
45 & 0.04269 & 0.3307 & 0.371021 \tabularnewline
46 & 0.052359 & 0.4056 & 0.343249 \tabularnewline
47 & 0.056988 & 0.4414 & 0.330245 \tabularnewline
48 & 0.060221 & 0.4665 & 0.321285 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146357&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]0.919875[/C][C]7.1253[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.855457[/C][C]6.6263[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.796633[/C][C]6.1707[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.742232[/C][C]5.7493[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.683341[/C][C]5.2931[/C][C]1e-06[/C][/ROW]
[ROW][C]6[/C][C]0.611759[/C][C]4.7387[/C][C]7e-06[/C][/ROW]
[ROW][C]7[/C][C]0.540121[/C][C]4.1838[/C][C]4.7e-05[/C][/ROW]
[ROW][C]8[/C][C]0.475381[/C][C]3.6823[/C][C]0.000249[/C][/ROW]
[ROW][C]9[/C][C]0.413537[/C][C]3.2032[/C][C]0.001088[/C][/ROW]
[ROW][C]10[/C][C]0.352782[/C][C]2.7326[/C][C]0.004121[/C][/ROW]
[ROW][C]11[/C][C]0.288504[/C][C]2.2347[/C][C]0.014585[/C][/ROW]
[ROW][C]12[/C][C]0.220643[/C][C]1.7091[/C][C]0.046301[/C][/ROW]
[ROW][C]13[/C][C]0.15251[/C][C]1.1813[/C][C]0.121066[/C][/ROW]
[ROW][C]14[/C][C]0.071932[/C][C]0.5572[/C][C]0.289737[/C][/ROW]
[ROW][C]15[/C][C]0.003449[/C][C]0.0267[/C][C]0.489388[/C][/ROW]
[ROW][C]16[/C][C]-0.054505[/C][C]-0.4222[/C][C]0.337197[/C][/ROW]
[ROW][C]17[/C][C]-0.117703[/C][C]-0.9117[/C][C]0.182782[/C][/ROW]
[ROW][C]18[/C][C]-0.18225[/C][C]-1.4117[/C][C]0.081601[/C][/ROW]
[ROW][C]19[/C][C]-0.258371[/C][C]-2.0013[/C][C]0.024943[/C][/ROW]
[ROW][C]20[/C][C]-0.31952[/C][C]-2.475[/C][C]0.008083[/C][/ROW]
[ROW][C]21[/C][C]-0.370596[/C][C]-2.8706[/C][C]0.002826[/C][/ROW]
[ROW][C]22[/C][C]-0.410553[/C][C]-3.1801[/C][C]0.001165[/C][/ROW]
[ROW][C]23[/C][C]-0.443419[/C][C]-3.4347[/C][C]0.000541[/C][/ROW]
[ROW][C]24[/C][C]-0.472484[/C][C]-3.6598[/C][C]0.000267[/C][/ROW]
[ROW][C]25[/C][C]-0.482607[/C][C]-3.7383[/C][C]0.000208[/C][/ROW]
[ROW][C]26[/C][C]-0.476145[/C][C]-3.6882[/C][C]0.000244[/C][/ROW]
[ROW][C]27[/C][C]-0.460525[/C][C]-3.5672[/C][C]0.000358[/C][/ROW]
[ROW][C]28[/C][C]-0.44972[/C][C]-3.4835[/C][C]0.000465[/C][/ROW]
[ROW][C]29[/C][C]-0.438734[/C][C]-3.3984[/C][C]0.000605[/C][/ROW]
[ROW][C]30[/C][C]-0.417757[/C][C]-3.2359[/C][C]0.000988[/C][/ROW]
[ROW][C]31[/C][C]-0.398905[/C][C]-3.0899[/C][C]0.001517[/C][/ROW]
[ROW][C]32[/C][C]-0.376287[/C][C]-2.9147[/C][C]0.002499[/C][/ROW]
[ROW][C]33[/C][C]-0.349353[/C][C]-2.7061[/C][C]0.004426[/C][/ROW]
[ROW][C]34[/C][C]-0.318167[/C][C]-2.4645[/C][C]0.008301[/C][/ROW]
[ROW][C]35[/C][C]-0.288892[/C][C]-2.2377[/C][C]0.014481[/C][/ROW]
[ROW][C]36[/C][C]-0.268687[/C][C]-2.0812[/C][C]0.020844[/C][/ROW]
[ROW][C]37[/C][C]-0.240954[/C][C]-1.8664[/C][C]0.033436[/C][/ROW]
[ROW][C]38[/C][C]-0.20652[/C][C]-1.5997[/C][C]0.05746[/C][/ROW]
[ROW][C]39[/C][C]-0.171075[/C][C]-1.3251[/C][C]0.095074[/C][/ROW]
[ROW][C]40[/C][C]-0.140702[/C][C]-1.0899[/C][C]0.140063[/C][/ROW]
[ROW][C]41[/C][C]-0.120609[/C][C]-0.9342[/C][C]0.176965[/C][/ROW]
[ROW][C]42[/C][C]-0.095896[/C][C]-0.7428[/C][C]0.230247[/C][/ROW]
[ROW][C]43[/C][C]-0.019005[/C][C]-0.1472[/C][C]0.441729[/C][/ROW]
[ROW][C]44[/C][C]0.016166[/C][C]0.1252[/C][C]0.450384[/C][/ROW]
[ROW][C]45[/C][C]0.04269[/C][C]0.3307[/C][C]0.371021[/C][/ROW]
[ROW][C]46[/C][C]0.052359[/C][C]0.4056[/C][C]0.343249[/C][/ROW]
[ROW][C]47[/C][C]0.056988[/C][C]0.4414[/C][C]0.330245[/C][/ROW]
[ROW][C]48[/C][C]0.060221[/C][C]0.4665[/C][C]0.321285[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146357&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146357&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
10.9198757.12530
20.8554576.62630
30.7966336.17070
40.7422325.74930
50.6833415.29311e-06
60.6117594.73877e-06
70.5401214.18384.7e-05
80.4753813.68230.000249
90.4135373.20320.001088
100.3527822.73260.004121
110.2885042.23470.014585
120.2206431.70910.046301
130.152511.18130.121066
140.0719320.55720.289737
150.0034490.02670.489388
16-0.054505-0.42220.337197
17-0.117703-0.91170.182782
18-0.18225-1.41170.081601
19-0.258371-2.00130.024943
20-0.31952-2.4750.008083
21-0.370596-2.87060.002826
22-0.410553-3.18010.001165
23-0.443419-3.43470.000541
24-0.472484-3.65980.000267
25-0.482607-3.73830.000208
26-0.476145-3.68820.000244
27-0.460525-3.56720.000358
28-0.44972-3.48350.000465
29-0.438734-3.39840.000605
30-0.417757-3.23590.000988
31-0.398905-3.08990.001517
32-0.376287-2.91470.002499
33-0.349353-2.70610.004426
34-0.318167-2.46450.008301
35-0.288892-2.23770.014481
36-0.268687-2.08120.020844
37-0.240954-1.86640.033436
38-0.20652-1.59970.05746
39-0.171075-1.32510.095074
40-0.140702-1.08990.140063
41-0.120609-0.93420.176965
42-0.095896-0.74280.230247
43-0.019005-0.14720.441729
440.0161660.12520.450384
450.042690.33070.371021
460.0523590.40560.343249
470.0569880.44140.330245
480.0602210.46650.321285







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9198757.12530
20.0603660.46760.320885
30.0110440.08550.466056
40.0036790.02850.48868
5-0.053051-0.41090.341294
6-0.120232-0.93130.177712
7-0.062065-0.48080.316221
8-0.011126-0.08620.465804
9-0.022185-0.17180.432068
10-0.025878-0.20050.420902
11-0.054963-0.42570.335911
12-0.075362-0.58380.280787
13-0.070223-0.54390.294246
14-0.152959-1.18480.120381
15-0.013213-0.10230.459411
160.0153420.11880.452899
17-0.076169-0.590.278702
18-0.070073-0.54280.294646
19-0.150844-1.16840.123627
20-0.028738-0.22260.412299
21-0.029038-0.22490.411399
220.0137670.10660.457716
230.0161170.12480.450534
24-0.006114-0.04740.481192
250.06950.53830.296166
260.0721930.55920.289053
270.0568330.44020.330679
28-0.042265-0.32740.372258
29-0.029518-0.22860.409961
300.0407930.3160.376558
31-0.041795-0.32370.373629
320.001340.01040.495875
33-0.002288-0.01770.49296
340.0054490.04220.483237
35-0.03158-0.24460.403792
36-0.099723-0.77250.221439
370.002240.01740.493107
38-0.013305-0.10310.459128
39-0.017646-0.13670.445867
40-0.036389-0.28190.389508
41-0.073413-0.56870.285856
42-0.017252-0.13360.447069
430.3201112.47960.00799
44-0.184147-1.42640.079468
45-0.055939-0.43330.333175
46-0.095917-0.7430.230199
47-0.079654-0.6170.269786
48-0.067219-0.52070.302254

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.919875 & 7.1253 & 0 \tabularnewline
2 & 0.060366 & 0.4676 & 0.320885 \tabularnewline
3 & 0.011044 & 0.0855 & 0.466056 \tabularnewline
4 & 0.003679 & 0.0285 & 0.48868 \tabularnewline
5 & -0.053051 & -0.4109 & 0.341294 \tabularnewline
6 & -0.120232 & -0.9313 & 0.177712 \tabularnewline
7 & -0.062065 & -0.4808 & 0.316221 \tabularnewline
8 & -0.011126 & -0.0862 & 0.465804 \tabularnewline
9 & -0.022185 & -0.1718 & 0.432068 \tabularnewline
10 & -0.025878 & -0.2005 & 0.420902 \tabularnewline
11 & -0.054963 & -0.4257 & 0.335911 \tabularnewline
12 & -0.075362 & -0.5838 & 0.280787 \tabularnewline
13 & -0.070223 & -0.5439 & 0.294246 \tabularnewline
14 & -0.152959 & -1.1848 & 0.120381 \tabularnewline
15 & -0.013213 & -0.1023 & 0.459411 \tabularnewline
16 & 0.015342 & 0.1188 & 0.452899 \tabularnewline
17 & -0.076169 & -0.59 & 0.278702 \tabularnewline
18 & -0.070073 & -0.5428 & 0.294646 \tabularnewline
19 & -0.150844 & -1.1684 & 0.123627 \tabularnewline
20 & -0.028738 & -0.2226 & 0.412299 \tabularnewline
21 & -0.029038 & -0.2249 & 0.411399 \tabularnewline
22 & 0.013767 & 0.1066 & 0.457716 \tabularnewline
23 & 0.016117 & 0.1248 & 0.450534 \tabularnewline
24 & -0.006114 & -0.0474 & 0.481192 \tabularnewline
25 & 0.0695 & 0.5383 & 0.296166 \tabularnewline
26 & 0.072193 & 0.5592 & 0.289053 \tabularnewline
27 & 0.056833 & 0.4402 & 0.330679 \tabularnewline
28 & -0.042265 & -0.3274 & 0.372258 \tabularnewline
29 & -0.029518 & -0.2286 & 0.409961 \tabularnewline
30 & 0.040793 & 0.316 & 0.376558 \tabularnewline
31 & -0.041795 & -0.3237 & 0.373629 \tabularnewline
32 & 0.00134 & 0.0104 & 0.495875 \tabularnewline
33 & -0.002288 & -0.0177 & 0.49296 \tabularnewline
34 & 0.005449 & 0.0422 & 0.483237 \tabularnewline
35 & -0.03158 & -0.2446 & 0.403792 \tabularnewline
36 & -0.099723 & -0.7725 & 0.221439 \tabularnewline
37 & 0.00224 & 0.0174 & 0.493107 \tabularnewline
38 & -0.013305 & -0.1031 & 0.459128 \tabularnewline
39 & -0.017646 & -0.1367 & 0.445867 \tabularnewline
40 & -0.036389 & -0.2819 & 0.389508 \tabularnewline
41 & -0.073413 & -0.5687 & 0.285856 \tabularnewline
42 & -0.017252 & -0.1336 & 0.447069 \tabularnewline
43 & 0.320111 & 2.4796 & 0.00799 \tabularnewline
44 & -0.184147 & -1.4264 & 0.079468 \tabularnewline
45 & -0.055939 & -0.4333 & 0.333175 \tabularnewline
46 & -0.095917 & -0.743 & 0.230199 \tabularnewline
47 & -0.079654 & -0.617 & 0.269786 \tabularnewline
48 & -0.067219 & -0.5207 & 0.302254 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=146357&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]0.919875[/C][C]7.1253[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.060366[/C][C]0.4676[/C][C]0.320885[/C][/ROW]
[ROW][C]3[/C][C]0.011044[/C][C]0.0855[/C][C]0.466056[/C][/ROW]
[ROW][C]4[/C][C]0.003679[/C][C]0.0285[/C][C]0.48868[/C][/ROW]
[ROW][C]5[/C][C]-0.053051[/C][C]-0.4109[/C][C]0.341294[/C][/ROW]
[ROW][C]6[/C][C]-0.120232[/C][C]-0.9313[/C][C]0.177712[/C][/ROW]
[ROW][C]7[/C][C]-0.062065[/C][C]-0.4808[/C][C]0.316221[/C][/ROW]
[ROW][C]8[/C][C]-0.011126[/C][C]-0.0862[/C][C]0.465804[/C][/ROW]
[ROW][C]9[/C][C]-0.022185[/C][C]-0.1718[/C][C]0.432068[/C][/ROW]
[ROW][C]10[/C][C]-0.025878[/C][C]-0.2005[/C][C]0.420902[/C][/ROW]
[ROW][C]11[/C][C]-0.054963[/C][C]-0.4257[/C][C]0.335911[/C][/ROW]
[ROW][C]12[/C][C]-0.075362[/C][C]-0.5838[/C][C]0.280787[/C][/ROW]
[ROW][C]13[/C][C]-0.070223[/C][C]-0.5439[/C][C]0.294246[/C][/ROW]
[ROW][C]14[/C][C]-0.152959[/C][C]-1.1848[/C][C]0.120381[/C][/ROW]
[ROW][C]15[/C][C]-0.013213[/C][C]-0.1023[/C][C]0.459411[/C][/ROW]
[ROW][C]16[/C][C]0.015342[/C][C]0.1188[/C][C]0.452899[/C][/ROW]
[ROW][C]17[/C][C]-0.076169[/C][C]-0.59[/C][C]0.278702[/C][/ROW]
[ROW][C]18[/C][C]-0.070073[/C][C]-0.5428[/C][C]0.294646[/C][/ROW]
[ROW][C]19[/C][C]-0.150844[/C][C]-1.1684[/C][C]0.123627[/C][/ROW]
[ROW][C]20[/C][C]-0.028738[/C][C]-0.2226[/C][C]0.412299[/C][/ROW]
[ROW][C]21[/C][C]-0.029038[/C][C]-0.2249[/C][C]0.411399[/C][/ROW]
[ROW][C]22[/C][C]0.013767[/C][C]0.1066[/C][C]0.457716[/C][/ROW]
[ROW][C]23[/C][C]0.016117[/C][C]0.1248[/C][C]0.450534[/C][/ROW]
[ROW][C]24[/C][C]-0.006114[/C][C]-0.0474[/C][C]0.481192[/C][/ROW]
[ROW][C]25[/C][C]0.0695[/C][C]0.5383[/C][C]0.296166[/C][/ROW]
[ROW][C]26[/C][C]0.072193[/C][C]0.5592[/C][C]0.289053[/C][/ROW]
[ROW][C]27[/C][C]0.056833[/C][C]0.4402[/C][C]0.330679[/C][/ROW]
[ROW][C]28[/C][C]-0.042265[/C][C]-0.3274[/C][C]0.372258[/C][/ROW]
[ROW][C]29[/C][C]-0.029518[/C][C]-0.2286[/C][C]0.409961[/C][/ROW]
[ROW][C]30[/C][C]0.040793[/C][C]0.316[/C][C]0.376558[/C][/ROW]
[ROW][C]31[/C][C]-0.041795[/C][C]-0.3237[/C][C]0.373629[/C][/ROW]
[ROW][C]32[/C][C]0.00134[/C][C]0.0104[/C][C]0.495875[/C][/ROW]
[ROW][C]33[/C][C]-0.002288[/C][C]-0.0177[/C][C]0.49296[/C][/ROW]
[ROW][C]34[/C][C]0.005449[/C][C]0.0422[/C][C]0.483237[/C][/ROW]
[ROW][C]35[/C][C]-0.03158[/C][C]-0.2446[/C][C]0.403792[/C][/ROW]
[ROW][C]36[/C][C]-0.099723[/C][C]-0.7725[/C][C]0.221439[/C][/ROW]
[ROW][C]37[/C][C]0.00224[/C][C]0.0174[/C][C]0.493107[/C][/ROW]
[ROW][C]38[/C][C]-0.013305[/C][C]-0.1031[/C][C]0.459128[/C][/ROW]
[ROW][C]39[/C][C]-0.017646[/C][C]-0.1367[/C][C]0.445867[/C][/ROW]
[ROW][C]40[/C][C]-0.036389[/C][C]-0.2819[/C][C]0.389508[/C][/ROW]
[ROW][C]41[/C][C]-0.073413[/C][C]-0.5687[/C][C]0.285856[/C][/ROW]
[ROW][C]42[/C][C]-0.017252[/C][C]-0.1336[/C][C]0.447069[/C][/ROW]
[ROW][C]43[/C][C]0.320111[/C][C]2.4796[/C][C]0.00799[/C][/ROW]
[ROW][C]44[/C][C]-0.184147[/C][C]-1.4264[/C][C]0.079468[/C][/ROW]
[ROW][C]45[/C][C]-0.055939[/C][C]-0.4333[/C][C]0.333175[/C][/ROW]
[ROW][C]46[/C][C]-0.095917[/C][C]-0.743[/C][C]0.230199[/C][/ROW]
[ROW][C]47[/C][C]-0.079654[/C][C]-0.617[/C][C]0.269786[/C][/ROW]
[ROW][C]48[/C][C]-0.067219[/C][C]-0.5207[/C][C]0.302254[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=146357&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=146357&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
10.9198757.12530
20.0603660.46760.320885
30.0110440.08550.466056
40.0036790.02850.48868
5-0.053051-0.41090.341294
6-0.120232-0.93130.177712
7-0.062065-0.48080.316221
8-0.011126-0.08620.465804
9-0.022185-0.17180.432068
10-0.025878-0.20050.420902
11-0.054963-0.42570.335911
12-0.075362-0.58380.280787
13-0.070223-0.54390.294246
14-0.152959-1.18480.120381
15-0.013213-0.10230.459411
160.0153420.11880.452899
17-0.076169-0.590.278702
18-0.070073-0.54280.294646
19-0.150844-1.16840.123627
20-0.028738-0.22260.412299
21-0.029038-0.22490.411399
220.0137670.10660.457716
230.0161170.12480.450534
24-0.006114-0.04740.481192
250.06950.53830.296166
260.0721930.55920.289053
270.0568330.44020.330679
28-0.042265-0.32740.372258
29-0.029518-0.22860.409961
300.0407930.3160.376558
31-0.041795-0.32370.373629
320.001340.01040.495875
33-0.002288-0.01770.49296
340.0054490.04220.483237
35-0.03158-0.24460.403792
36-0.099723-0.77250.221439
370.002240.01740.493107
38-0.013305-0.10310.459128
39-0.017646-0.13670.445867
40-0.036389-0.28190.389508
41-0.073413-0.56870.285856
42-0.017252-0.13360.447069
430.3201112.47960.00799
44-0.184147-1.42640.079468
45-0.055939-0.43330.333175
46-0.095917-0.7430.230199
47-0.079654-0.6170.269786
48-0.067219-0.52070.302254



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 ; 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')