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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, 17 Dec 2008 06:23:48 -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/2008/Dec/17/t1229520259d13hvhfxzfmm2yg.htm/, Retrieved Sun, 19 May 2024 06:45:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34333, Retrieved Sun, 19 May 2024 06:45:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [] [] [1970-01-01 00:00:00] [2097edf1f094fab6879a8cb46df74ec2]
- RMPD  [(Partial) Autocorrelation Function] [] [2008-12-17 12:55:33] [2097edf1f094fab6879a8cb46df74ec2]
-   PD    [(Partial) Autocorrelation Function] [] [2008-12-17 13:14:58] [2097edf1f094fab6879a8cb46df74ec2]
-   PD        [(Partial) Autocorrelation Function] [] [2008-12-17 13:23:48] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.63
1.63
1.62
1.62
1.61
1.6
1.6
1.6
1.59
1.59
1.58
1.58
1.58
1.58
1.58
1.58
1.56
1.56
1.55
1.55
1.55
1.54
1.54
1.53
1.53
1.53
1.53
1.52
1.52
1.52
1.52
1.51
1.51
1.51
1.5
1.49
1.49
1.49
1.48
1.47
1.47
1.47
1.46
1.46
1.45
1.45
1.44
1.43
1.43
1.43
1.42
1.41
1.4
1.4
1.4
1.4
1.39
1.38
1.38
1.38
1.37
1.37
1.37
1.37
1.37
1.37
1.37
1.36
1.36
1.36
1.35
1.34
1.34
1.34
1.34
1.34
1.34
1.34
1.33
1.33
1.33
1.32
1.32
1.32
1.32




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34333&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34333&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34333&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9671968.91710
20.9333788.60530
30.9006878.30390
40.8666027.98970
50.8347997.69650
60.8037437.41010
70.771427.11210
80.7396176.81890
90.7081816.52910
100.6759846.23230
110.6446615.94350
120.6114375.63720
130.5770715.32030
140.5411834.98952e-06
150.5058164.66346e-06
160.470974.34211.9e-05
170.4392674.04985.6e-05
180.4064233.7470.000163
190.3762413.46880.000412
200.3446653.17770.001035
210.3123282.87950.002519
220.2806122.58710.005689
230.2480082.28650.012355
240.2162781.9940.02468
250.183661.69330.047033
260.151691.39850.082798
270.1184521.09210.138943
280.0867230.79950.213102
290.0557670.51410.304242
300.0252050.23240.4084
31-0.006371-0.05870.47665
32-0.036819-0.33950.367551
33-0.068155-0.62840.265726
34-0.09859-0.9090.182971
35-0.126362-1.1650.123639
36-0.150964-1.39180.083804
37-0.176834-1.63030.053366
38-0.203465-1.87590.032054
39-0.226545-2.08860.019866
40-0.246582-2.27340.012763
41-0.267633-2.46750.007807
42-0.287403-2.64970.004802
43-0.305918-2.82040.002984
44-0.323278-2.98050.001876
45-0.339384-3.1290.001202
46-0.355743-3.27980.000754
47-0.368806-3.40020.000514
48-0.378698-3.49140.000382

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.967196 & 8.9171 & 0 \tabularnewline
2 & 0.933378 & 8.6053 & 0 \tabularnewline
3 & 0.900687 & 8.3039 & 0 \tabularnewline
4 & 0.866602 & 7.9897 & 0 \tabularnewline
5 & 0.834799 & 7.6965 & 0 \tabularnewline
6 & 0.803743 & 7.4101 & 0 \tabularnewline
7 & 0.77142 & 7.1121 & 0 \tabularnewline
8 & 0.739617 & 6.8189 & 0 \tabularnewline
9 & 0.708181 & 6.5291 & 0 \tabularnewline
10 & 0.675984 & 6.2323 & 0 \tabularnewline
11 & 0.644661 & 5.9435 & 0 \tabularnewline
12 & 0.611437 & 5.6372 & 0 \tabularnewline
13 & 0.577071 & 5.3203 & 0 \tabularnewline
14 & 0.541183 & 4.9895 & 2e-06 \tabularnewline
15 & 0.505816 & 4.6634 & 6e-06 \tabularnewline
16 & 0.47097 & 4.3421 & 1.9e-05 \tabularnewline
17 & 0.439267 & 4.0498 & 5.6e-05 \tabularnewline
18 & 0.406423 & 3.747 & 0.000163 \tabularnewline
19 & 0.376241 & 3.4688 & 0.000412 \tabularnewline
20 & 0.344665 & 3.1777 & 0.001035 \tabularnewline
21 & 0.312328 & 2.8795 & 0.002519 \tabularnewline
22 & 0.280612 & 2.5871 & 0.005689 \tabularnewline
23 & 0.248008 & 2.2865 & 0.012355 \tabularnewline
24 & 0.216278 & 1.994 & 0.02468 \tabularnewline
25 & 0.18366 & 1.6933 & 0.047033 \tabularnewline
26 & 0.15169 & 1.3985 & 0.082798 \tabularnewline
27 & 0.118452 & 1.0921 & 0.138943 \tabularnewline
28 & 0.086723 & 0.7995 & 0.213102 \tabularnewline
29 & 0.055767 & 0.5141 & 0.304242 \tabularnewline
30 & 0.025205 & 0.2324 & 0.4084 \tabularnewline
31 & -0.006371 & -0.0587 & 0.47665 \tabularnewline
32 & -0.036819 & -0.3395 & 0.367551 \tabularnewline
33 & -0.068155 & -0.6284 & 0.265726 \tabularnewline
34 & -0.09859 & -0.909 & 0.182971 \tabularnewline
35 & -0.126362 & -1.165 & 0.123639 \tabularnewline
36 & -0.150964 & -1.3918 & 0.083804 \tabularnewline
37 & -0.176834 & -1.6303 & 0.053366 \tabularnewline
38 & -0.203465 & -1.8759 & 0.032054 \tabularnewline
39 & -0.226545 & -2.0886 & 0.019866 \tabularnewline
40 & -0.246582 & -2.2734 & 0.012763 \tabularnewline
41 & -0.267633 & -2.4675 & 0.007807 \tabularnewline
42 & -0.287403 & -2.6497 & 0.004802 \tabularnewline
43 & -0.305918 & -2.8204 & 0.002984 \tabularnewline
44 & -0.323278 & -2.9805 & 0.001876 \tabularnewline
45 & -0.339384 & -3.129 & 0.001202 \tabularnewline
46 & -0.355743 & -3.2798 & 0.000754 \tabularnewline
47 & -0.368806 & -3.4002 & 0.000514 \tabularnewline
48 & -0.378698 & -3.4914 & 0.000382 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34333&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]0.967196[/C][C]8.9171[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.933378[/C][C]8.6053[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.900687[/C][C]8.3039[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0.866602[/C][C]7.9897[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0.834799[/C][C]7.6965[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0.803743[/C][C]7.4101[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0.77142[/C][C]7.1121[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0.739617[/C][C]6.8189[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0.708181[/C][C]6.5291[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0.675984[/C][C]6.2323[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0.644661[/C][C]5.9435[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0.611437[/C][C]5.6372[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.577071[/C][C]5.3203[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.541183[/C][C]4.9895[/C][C]2e-06[/C][/ROW]
[ROW][C]15[/C][C]0.505816[/C][C]4.6634[/C][C]6e-06[/C][/ROW]
[ROW][C]16[/C][C]0.47097[/C][C]4.3421[/C][C]1.9e-05[/C][/ROW]
[ROW][C]17[/C][C]0.439267[/C][C]4.0498[/C][C]5.6e-05[/C][/ROW]
[ROW][C]18[/C][C]0.406423[/C][C]3.747[/C][C]0.000163[/C][/ROW]
[ROW][C]19[/C][C]0.376241[/C][C]3.4688[/C][C]0.000412[/C][/ROW]
[ROW][C]20[/C][C]0.344665[/C][C]3.1777[/C][C]0.001035[/C][/ROW]
[ROW][C]21[/C][C]0.312328[/C][C]2.8795[/C][C]0.002519[/C][/ROW]
[ROW][C]22[/C][C]0.280612[/C][C]2.5871[/C][C]0.005689[/C][/ROW]
[ROW][C]23[/C][C]0.248008[/C][C]2.2865[/C][C]0.012355[/C][/ROW]
[ROW][C]24[/C][C]0.216278[/C][C]1.994[/C][C]0.02468[/C][/ROW]
[ROW][C]25[/C][C]0.18366[/C][C]1.6933[/C][C]0.047033[/C][/ROW]
[ROW][C]26[/C][C]0.15169[/C][C]1.3985[/C][C]0.082798[/C][/ROW]
[ROW][C]27[/C][C]0.118452[/C][C]1.0921[/C][C]0.138943[/C][/ROW]
[ROW][C]28[/C][C]0.086723[/C][C]0.7995[/C][C]0.213102[/C][/ROW]
[ROW][C]29[/C][C]0.055767[/C][C]0.5141[/C][C]0.304242[/C][/ROW]
[ROW][C]30[/C][C]0.025205[/C][C]0.2324[/C][C]0.4084[/C][/ROW]
[ROW][C]31[/C][C]-0.006371[/C][C]-0.0587[/C][C]0.47665[/C][/ROW]
[ROW][C]32[/C][C]-0.036819[/C][C]-0.3395[/C][C]0.367551[/C][/ROW]
[ROW][C]33[/C][C]-0.068155[/C][C]-0.6284[/C][C]0.265726[/C][/ROW]
[ROW][C]34[/C][C]-0.09859[/C][C]-0.909[/C][C]0.182971[/C][/ROW]
[ROW][C]35[/C][C]-0.126362[/C][C]-1.165[/C][C]0.123639[/C][/ROW]
[ROW][C]36[/C][C]-0.150964[/C][C]-1.3918[/C][C]0.083804[/C][/ROW]
[ROW][C]37[/C][C]-0.176834[/C][C]-1.6303[/C][C]0.053366[/C][/ROW]
[ROW][C]38[/C][C]-0.203465[/C][C]-1.8759[/C][C]0.032054[/C][/ROW]
[ROW][C]39[/C][C]-0.226545[/C][C]-2.0886[/C][C]0.019866[/C][/ROW]
[ROW][C]40[/C][C]-0.246582[/C][C]-2.2734[/C][C]0.012763[/C][/ROW]
[ROW][C]41[/C][C]-0.267633[/C][C]-2.4675[/C][C]0.007807[/C][/ROW]
[ROW][C]42[/C][C]-0.287403[/C][C]-2.6497[/C][C]0.004802[/C][/ROW]
[ROW][C]43[/C][C]-0.305918[/C][C]-2.8204[/C][C]0.002984[/C][/ROW]
[ROW][C]44[/C][C]-0.323278[/C][C]-2.9805[/C][C]0.001876[/C][/ROW]
[ROW][C]45[/C][C]-0.339384[/C][C]-3.129[/C][C]0.001202[/C][/ROW]
[ROW][C]46[/C][C]-0.355743[/C][C]-3.2798[/C][C]0.000754[/C][/ROW]
[ROW][C]47[/C][C]-0.368806[/C][C]-3.4002[/C][C]0.000514[/C][/ROW]
[ROW][C]48[/C][C]-0.378698[/C][C]-3.4914[/C][C]0.000382[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34333&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34333&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
10.9671968.91710
20.9333788.60530
30.9006878.30390
40.8666027.98970
50.8347997.69650
60.8037437.41010
70.771427.11210
80.7396176.81890
90.7081816.52910
100.6759846.23230
110.6446615.94350
120.6114375.63720
130.5770715.32030
140.5411834.98952e-06
150.5058164.66346e-06
160.470974.34211.9e-05
170.4392674.04985.6e-05
180.4064233.7470.000163
190.3762413.46880.000412
200.3446653.17770.001035
210.3123282.87950.002519
220.2806122.58710.005689
230.2480082.28650.012355
240.2162781.9940.02468
250.183661.69330.047033
260.151691.39850.082798
270.1184521.09210.138943
280.0867230.79950.213102
290.0557670.51410.304242
300.0252050.23240.4084
31-0.006371-0.05870.47665
32-0.036819-0.33950.367551
33-0.068155-0.62840.265726
34-0.09859-0.9090.182971
35-0.126362-1.1650.123639
36-0.150964-1.39180.083804
37-0.176834-1.63030.053366
38-0.203465-1.87590.032054
39-0.226545-2.08860.019866
40-0.246582-2.27340.012763
41-0.267633-2.46750.007807
42-0.287403-2.64970.004802
43-0.305918-2.82040.002984
44-0.323278-2.98050.001876
45-0.339384-3.1290.001202
46-0.355743-3.27980.000754
47-0.368806-3.40020.000514
48-0.378698-3.49140.000382







Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9671968.91710
2-0.032396-0.29870.382959
30.0002390.00220.499125
4-0.039379-0.36310.358733
50.0181810.16760.433641
6-0.007656-0.07060.471947
7-0.035583-0.32810.371836
8-0.010693-0.09860.460849
9-0.01273-0.11740.453425
10-0.02862-0.26390.396263
11-0.006543-0.06030.476018
12-0.04962-0.45750.32425
13-0.0356-0.32820.371778
14-0.047522-0.43810.331202
15-0.013177-0.12150.451797
16-0.01712-0.15780.43748
170.0243020.22410.411628
18-0.042634-0.39310.347627
190.0210070.19370.423445
20-0.047656-0.43940.330754
21-0.028752-0.26510.395795
22-0.018607-0.17150.432101
23-0.036286-0.33450.369397
24-0.010477-0.09660.461638
25-0.041799-0.38540.350463
26-0.014753-0.1360.446066
27-0.047856-0.44120.330092
28-0.008683-0.08010.468192
29-0.018378-0.16940.432929
30-0.026504-0.24440.403772
31-0.045976-0.42390.336362
32-0.013343-0.1230.451192
33-0.042439-0.39130.348288
34-0.017898-0.1650.434662
350.0079370.07320.470919
360.0170250.1570.437822
37-0.05115-0.47160.319218
38-0.042527-0.39210.34799
390.0206030.190.424899
400.0225120.20750.418039
41-0.05307-0.48930.312951
42-0.008528-0.07860.468757
43-0.014318-0.1320.447648
44-0.001344-0.01240.495073
45-0.01722-0.15880.437119
46-0.033086-0.3050.380543
470.0196240.18090.42843
480.0176750.1630.435472

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.967196 & 8.9171 & 0 \tabularnewline
2 & -0.032396 & -0.2987 & 0.382959 \tabularnewline
3 & 0.000239 & 0.0022 & 0.499125 \tabularnewline
4 & -0.039379 & -0.3631 & 0.358733 \tabularnewline
5 & 0.018181 & 0.1676 & 0.433641 \tabularnewline
6 & -0.007656 & -0.0706 & 0.471947 \tabularnewline
7 & -0.035583 & -0.3281 & 0.371836 \tabularnewline
8 & -0.010693 & -0.0986 & 0.460849 \tabularnewline
9 & -0.01273 & -0.1174 & 0.453425 \tabularnewline
10 & -0.02862 & -0.2639 & 0.396263 \tabularnewline
11 & -0.006543 & -0.0603 & 0.476018 \tabularnewline
12 & -0.04962 & -0.4575 & 0.32425 \tabularnewline
13 & -0.0356 & -0.3282 & 0.371778 \tabularnewline
14 & -0.047522 & -0.4381 & 0.331202 \tabularnewline
15 & -0.013177 & -0.1215 & 0.451797 \tabularnewline
16 & -0.01712 & -0.1578 & 0.43748 \tabularnewline
17 & 0.024302 & 0.2241 & 0.411628 \tabularnewline
18 & -0.042634 & -0.3931 & 0.347627 \tabularnewline
19 & 0.021007 & 0.1937 & 0.423445 \tabularnewline
20 & -0.047656 & -0.4394 & 0.330754 \tabularnewline
21 & -0.028752 & -0.2651 & 0.395795 \tabularnewline
22 & -0.018607 & -0.1715 & 0.432101 \tabularnewline
23 & -0.036286 & -0.3345 & 0.369397 \tabularnewline
24 & -0.010477 & -0.0966 & 0.461638 \tabularnewline
25 & -0.041799 & -0.3854 & 0.350463 \tabularnewline
26 & -0.014753 & -0.136 & 0.446066 \tabularnewline
27 & -0.047856 & -0.4412 & 0.330092 \tabularnewline
28 & -0.008683 & -0.0801 & 0.468192 \tabularnewline
29 & -0.018378 & -0.1694 & 0.432929 \tabularnewline
30 & -0.026504 & -0.2444 & 0.403772 \tabularnewline
31 & -0.045976 & -0.4239 & 0.336362 \tabularnewline
32 & -0.013343 & -0.123 & 0.451192 \tabularnewline
33 & -0.042439 & -0.3913 & 0.348288 \tabularnewline
34 & -0.017898 & -0.165 & 0.434662 \tabularnewline
35 & 0.007937 & 0.0732 & 0.470919 \tabularnewline
36 & 0.017025 & 0.157 & 0.437822 \tabularnewline
37 & -0.05115 & -0.4716 & 0.319218 \tabularnewline
38 & -0.042527 & -0.3921 & 0.34799 \tabularnewline
39 & 0.020603 & 0.19 & 0.424899 \tabularnewline
40 & 0.022512 & 0.2075 & 0.418039 \tabularnewline
41 & -0.05307 & -0.4893 & 0.312951 \tabularnewline
42 & -0.008528 & -0.0786 & 0.468757 \tabularnewline
43 & -0.014318 & -0.132 & 0.447648 \tabularnewline
44 & -0.001344 & -0.0124 & 0.495073 \tabularnewline
45 & -0.01722 & -0.1588 & 0.437119 \tabularnewline
46 & -0.033086 & -0.305 & 0.380543 \tabularnewline
47 & 0.019624 & 0.1809 & 0.42843 \tabularnewline
48 & 0.017675 & 0.163 & 0.435472 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34333&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]0.967196[/C][C]8.9171[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.032396[/C][C]-0.2987[/C][C]0.382959[/C][/ROW]
[ROW][C]3[/C][C]0.000239[/C][C]0.0022[/C][C]0.499125[/C][/ROW]
[ROW][C]4[/C][C]-0.039379[/C][C]-0.3631[/C][C]0.358733[/C][/ROW]
[ROW][C]5[/C][C]0.018181[/C][C]0.1676[/C][C]0.433641[/C][/ROW]
[ROW][C]6[/C][C]-0.007656[/C][C]-0.0706[/C][C]0.471947[/C][/ROW]
[ROW][C]7[/C][C]-0.035583[/C][C]-0.3281[/C][C]0.371836[/C][/ROW]
[ROW][C]8[/C][C]-0.010693[/C][C]-0.0986[/C][C]0.460849[/C][/ROW]
[ROW][C]9[/C][C]-0.01273[/C][C]-0.1174[/C][C]0.453425[/C][/ROW]
[ROW][C]10[/C][C]-0.02862[/C][C]-0.2639[/C][C]0.396263[/C][/ROW]
[ROW][C]11[/C][C]-0.006543[/C][C]-0.0603[/C][C]0.476018[/C][/ROW]
[ROW][C]12[/C][C]-0.04962[/C][C]-0.4575[/C][C]0.32425[/C][/ROW]
[ROW][C]13[/C][C]-0.0356[/C][C]-0.3282[/C][C]0.371778[/C][/ROW]
[ROW][C]14[/C][C]-0.047522[/C][C]-0.4381[/C][C]0.331202[/C][/ROW]
[ROW][C]15[/C][C]-0.013177[/C][C]-0.1215[/C][C]0.451797[/C][/ROW]
[ROW][C]16[/C][C]-0.01712[/C][C]-0.1578[/C][C]0.43748[/C][/ROW]
[ROW][C]17[/C][C]0.024302[/C][C]0.2241[/C][C]0.411628[/C][/ROW]
[ROW][C]18[/C][C]-0.042634[/C][C]-0.3931[/C][C]0.347627[/C][/ROW]
[ROW][C]19[/C][C]0.021007[/C][C]0.1937[/C][C]0.423445[/C][/ROW]
[ROW][C]20[/C][C]-0.047656[/C][C]-0.4394[/C][C]0.330754[/C][/ROW]
[ROW][C]21[/C][C]-0.028752[/C][C]-0.2651[/C][C]0.395795[/C][/ROW]
[ROW][C]22[/C][C]-0.018607[/C][C]-0.1715[/C][C]0.432101[/C][/ROW]
[ROW][C]23[/C][C]-0.036286[/C][C]-0.3345[/C][C]0.369397[/C][/ROW]
[ROW][C]24[/C][C]-0.010477[/C][C]-0.0966[/C][C]0.461638[/C][/ROW]
[ROW][C]25[/C][C]-0.041799[/C][C]-0.3854[/C][C]0.350463[/C][/ROW]
[ROW][C]26[/C][C]-0.014753[/C][C]-0.136[/C][C]0.446066[/C][/ROW]
[ROW][C]27[/C][C]-0.047856[/C][C]-0.4412[/C][C]0.330092[/C][/ROW]
[ROW][C]28[/C][C]-0.008683[/C][C]-0.0801[/C][C]0.468192[/C][/ROW]
[ROW][C]29[/C][C]-0.018378[/C][C]-0.1694[/C][C]0.432929[/C][/ROW]
[ROW][C]30[/C][C]-0.026504[/C][C]-0.2444[/C][C]0.403772[/C][/ROW]
[ROW][C]31[/C][C]-0.045976[/C][C]-0.4239[/C][C]0.336362[/C][/ROW]
[ROW][C]32[/C][C]-0.013343[/C][C]-0.123[/C][C]0.451192[/C][/ROW]
[ROW][C]33[/C][C]-0.042439[/C][C]-0.3913[/C][C]0.348288[/C][/ROW]
[ROW][C]34[/C][C]-0.017898[/C][C]-0.165[/C][C]0.434662[/C][/ROW]
[ROW][C]35[/C][C]0.007937[/C][C]0.0732[/C][C]0.470919[/C][/ROW]
[ROW][C]36[/C][C]0.017025[/C][C]0.157[/C][C]0.437822[/C][/ROW]
[ROW][C]37[/C][C]-0.05115[/C][C]-0.4716[/C][C]0.319218[/C][/ROW]
[ROW][C]38[/C][C]-0.042527[/C][C]-0.3921[/C][C]0.34799[/C][/ROW]
[ROW][C]39[/C][C]0.020603[/C][C]0.19[/C][C]0.424899[/C][/ROW]
[ROW][C]40[/C][C]0.022512[/C][C]0.2075[/C][C]0.418039[/C][/ROW]
[ROW][C]41[/C][C]-0.05307[/C][C]-0.4893[/C][C]0.312951[/C][/ROW]
[ROW][C]42[/C][C]-0.008528[/C][C]-0.0786[/C][C]0.468757[/C][/ROW]
[ROW][C]43[/C][C]-0.014318[/C][C]-0.132[/C][C]0.447648[/C][/ROW]
[ROW][C]44[/C][C]-0.001344[/C][C]-0.0124[/C][C]0.495073[/C][/ROW]
[ROW][C]45[/C][C]-0.01722[/C][C]-0.1588[/C][C]0.437119[/C][/ROW]
[ROW][C]46[/C][C]-0.033086[/C][C]-0.305[/C][C]0.380543[/C][/ROW]
[ROW][C]47[/C][C]0.019624[/C][C]0.1809[/C][C]0.42843[/C][/ROW]
[ROW][C]48[/C][C]0.017675[/C][C]0.163[/C][C]0.435472[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34333&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34333&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
10.9671968.91710
2-0.032396-0.29870.382959
30.0002390.00220.499125
4-0.039379-0.36310.358733
50.0181810.16760.433641
6-0.007656-0.07060.471947
7-0.035583-0.32810.371836
8-0.010693-0.09860.460849
9-0.01273-0.11740.453425
10-0.02862-0.26390.396263
11-0.006543-0.06030.476018
12-0.04962-0.45750.32425
13-0.0356-0.32820.371778
14-0.047522-0.43810.331202
15-0.013177-0.12150.451797
16-0.01712-0.15780.43748
170.0243020.22410.411628
18-0.042634-0.39310.347627
190.0210070.19370.423445
20-0.047656-0.43940.330754
21-0.028752-0.26510.395795
22-0.018607-0.17150.432101
23-0.036286-0.33450.369397
24-0.010477-0.09660.461638
25-0.041799-0.38540.350463
26-0.014753-0.1360.446066
27-0.047856-0.44120.330092
28-0.008683-0.08010.468192
29-0.018378-0.16940.432929
30-0.026504-0.24440.403772
31-0.045976-0.42390.336362
32-0.013343-0.1230.451192
33-0.042439-0.39130.348288
34-0.017898-0.1650.434662
350.0079370.07320.470919
360.0170250.1570.437822
37-0.05115-0.47160.319218
38-0.042527-0.39210.34799
390.0206030.190.424899
400.0225120.20750.418039
41-0.05307-0.48930.312951
42-0.008528-0.07860.468757
43-0.014318-0.1320.447648
44-0.001344-0.01240.495073
45-0.01722-0.15880.437119
46-0.033086-0.3050.380543
470.0196240.18090.42843
480.0176750.1630.435472



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')