## 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 computationSun, 22 Dec 2013 12:50:39 -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/2013/Dec/22/t1387734702tzxz1c5t93e1dyw.htm/, Retrieved Sun, 05 Dec 2021 16:26:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232551, Retrieved Sun, 05 Dec 2021 16:26:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [(Partial) Autocorrelation Function] [] [2013-12-22 17:50:39] [818da16b08b21220aa14002c9e16e6e1] [Current]
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Dataseries X:
85.73
85.73
85.74
86.32
87.59
87.81
87.87
87.94
87.96
88.01
88.01
88.01
88.01
88.01
88.59
89.43
89.63
89.73
89.88
89.89
89.9
89.91
89.86
90.07
90.17
90.17
90.28
90.87
92.05
92.1
92.16
92.22
92.25
92.29
92.29
92.29
92.29
92.29
91.95
91.82
92.16
92.31
92.33
92.4
92.54
92.49
92.54
92.58
92.58
92.39
92.33
93.59
95.51
95.99
96.22
97.2
98.54
99.64
100.23
100.17

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 3 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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232551&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232551&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232551&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 3 seconds R Server 'Gertrude Mary Cox' @ cox.wessa.net

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.907183 7.027 0 2 0.799204 6.1906 0 3 0.693305 5.3703 1e-06 4 0.601238 4.6572 9e-06 5 0.530151 4.1065 6.2e-05 6 0.46714 3.6184 0.000305 7 0.404175 3.1307 0.001347 8 0.347288 2.6901 0.004619 9 0.315342 2.4426 0.008771 10 0.299412 2.3192 0.011902 11 0.28081 2.1751 0.016786 12 0.256066 1.9835 0.025948 13 0.227289 1.7606 0.041704 14 0.196393 1.5213 0.066725 15 0.169759 1.3149 0.096766 16 0.148546 1.1506 0.127225 17 0.129683 1.0045 0.15958 18 0.112322 0.87 0.193872 19 0.096828 0.75 0.228085 20 0.083295 0.6452 0.260627 21 0.073902 0.5724 0.284579 22 0.062599 0.4849 0.314759 23 0.045842 0.3551 0.361883 24 0.027119 0.2101 0.417165 25 0.002029 0.0157 0.493756 26 -0.027609 -0.2139 0.415691 27 -0.058444 -0.4527 0.326196 28 -0.086616 -0.6709 0.252422 29 -0.108854 -0.8432 0.201238 30 -0.134087 -1.0386 0.151572 31 -0.160399 -1.2424 0.109453 32 -0.186349 -1.4435 0.077047 33 -0.19715 -1.5271 0.065994 34 -0.200566 -1.5536 0.062772 35 -0.202621 -1.5695 0.060896 36 -0.204936 -1.5874 0.058836 37 -0.208731 -1.6168 0.055582 38 -0.214308 -1.66 0.051064 39 -0.226397 -1.7537 0.042298 40 -0.24109 -1.8675 0.033361 41 -0.25523 -1.977 0.026321 42 -0.270946 -2.0987 0.020028 43 -0.287364 -2.2259 0.014894 44 -0.303828 -2.3534 0.010947 45 -0.317118 -2.4564 0.008473 46 -0.319695 -2.4763 0.008056 47 -0.314664 -2.4374 0.008888 48 -0.312454 -2.4203 0.009277

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.907183 & 7.027 & 0 \tabularnewline
2 & 0.799204 & 6.1906 & 0 \tabularnewline
3 & 0.693305 & 5.3703 & 1e-06 \tabularnewline
4 & 0.601238 & 4.6572 & 9e-06 \tabularnewline
5 & 0.530151 & 4.1065 & 6.2e-05 \tabularnewline
6 & 0.46714 & 3.6184 & 0.000305 \tabularnewline
7 & 0.404175 & 3.1307 & 0.001347 \tabularnewline
8 & 0.347288 & 2.6901 & 0.004619 \tabularnewline
9 & 0.315342 & 2.4426 & 0.008771 \tabularnewline
10 & 0.299412 & 2.3192 & 0.011902 \tabularnewline
11 & 0.28081 & 2.1751 & 0.016786 \tabularnewline
12 & 0.256066 & 1.9835 & 0.025948 \tabularnewline
13 & 0.227289 & 1.7606 & 0.041704 \tabularnewline
14 & 0.196393 & 1.5213 & 0.066725 \tabularnewline
15 & 0.169759 & 1.3149 & 0.096766 \tabularnewline
16 & 0.148546 & 1.1506 & 0.127225 \tabularnewline
17 & 0.129683 & 1.0045 & 0.15958 \tabularnewline
18 & 0.112322 & 0.87 & 0.193872 \tabularnewline
19 & 0.096828 & 0.75 & 0.228085 \tabularnewline
20 & 0.083295 & 0.6452 & 0.260627 \tabularnewline
21 & 0.073902 & 0.5724 & 0.284579 \tabularnewline
22 & 0.062599 & 0.4849 & 0.314759 \tabularnewline
23 & 0.045842 & 0.3551 & 0.361883 \tabularnewline
24 & 0.027119 & 0.2101 & 0.417165 \tabularnewline
25 & 0.002029 & 0.0157 & 0.493756 \tabularnewline
26 & -0.027609 & -0.2139 & 0.415691 \tabularnewline
27 & -0.058444 & -0.4527 & 0.326196 \tabularnewline
28 & -0.086616 & -0.6709 & 0.252422 \tabularnewline
29 & -0.108854 & -0.8432 & 0.201238 \tabularnewline
30 & -0.134087 & -1.0386 & 0.151572 \tabularnewline
31 & -0.160399 & -1.2424 & 0.109453 \tabularnewline
32 & -0.186349 & -1.4435 & 0.077047 \tabularnewline
33 & -0.19715 & -1.5271 & 0.065994 \tabularnewline
34 & -0.200566 & -1.5536 & 0.062772 \tabularnewline
35 & -0.202621 & -1.5695 & 0.060896 \tabularnewline
36 & -0.204936 & -1.5874 & 0.058836 \tabularnewline
37 & -0.208731 & -1.6168 & 0.055582 \tabularnewline
38 & -0.214308 & -1.66 & 0.051064 \tabularnewline
39 & -0.226397 & -1.7537 & 0.042298 \tabularnewline
40 & -0.24109 & -1.8675 & 0.033361 \tabularnewline
41 & -0.25523 & -1.977 & 0.026321 \tabularnewline
42 & -0.270946 & -2.0987 & 0.020028 \tabularnewline
43 & -0.287364 & -2.2259 & 0.014894 \tabularnewline
44 & -0.303828 & -2.3534 & 0.010947 \tabularnewline
45 & -0.317118 & -2.4564 & 0.008473 \tabularnewline
46 & -0.319695 & -2.4763 & 0.008056 \tabularnewline
47 & -0.314664 & -2.4374 & 0.008888 \tabularnewline
48 & -0.312454 & -2.4203 & 0.009277 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232551&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]0.907183[/C][C]7.027[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.799204[/C][C]6.1906[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0.693305[/C][C]5.3703[/C][C]1e-06[/C][/ROW]
[ROW][C]4[/C][C]0.601238[/C][C]4.6572[/C][C]9e-06[/C][/ROW]
[ROW][C]5[/C][C]0.530151[/C][C]4.1065[/C][C]6.2e-05[/C][/ROW]
[ROW][C]6[/C][C]0.46714[/C][C]3.6184[/C][C]0.000305[/C][/ROW]
[ROW][C]7[/C][C]0.404175[/C][C]3.1307[/C][C]0.001347[/C][/ROW]
[ROW][C]8[/C][C]0.347288[/C][C]2.6901[/C][C]0.004619[/C][/ROW]
[ROW][C]9[/C][C]0.315342[/C][C]2.4426[/C][C]0.008771[/C][/ROW]
[ROW][C]10[/C][C]0.299412[/C][C]2.3192[/C][C]0.011902[/C][/ROW]
[ROW][C]11[/C][C]0.28081[/C][C]2.1751[/C][C]0.016786[/C][/ROW]
[ROW][C]12[/C][C]0.256066[/C][C]1.9835[/C][C]0.025948[/C][/ROW]
[ROW][C]13[/C][C]0.227289[/C][C]1.7606[/C][C]0.041704[/C][/ROW]
[ROW][C]14[/C][C]0.196393[/C][C]1.5213[/C][C]0.066725[/C][/ROW]
[ROW][C]15[/C][C]0.169759[/C][C]1.3149[/C][C]0.096766[/C][/ROW]
[ROW][C]16[/C][C]0.148546[/C][C]1.1506[/C][C]0.127225[/C][/ROW]
[ROW][C]17[/C][C]0.129683[/C][C]1.0045[/C][C]0.15958[/C][/ROW]
[ROW][C]18[/C][C]0.112322[/C][C]0.87[/C][C]0.193872[/C][/ROW]
[ROW][C]19[/C][C]0.096828[/C][C]0.75[/C][C]0.228085[/C][/ROW]
[ROW][C]20[/C][C]0.083295[/C][C]0.6452[/C][C]0.260627[/C][/ROW]
[ROW][C]21[/C][C]0.073902[/C][C]0.5724[/C][C]0.284579[/C][/ROW]
[ROW][C]22[/C][C]0.062599[/C][C]0.4849[/C][C]0.314759[/C][/ROW]
[ROW][C]23[/C][C]0.045842[/C][C]0.3551[/C][C]0.361883[/C][/ROW]
[ROW][C]24[/C][C]0.027119[/C][C]0.2101[/C][C]0.417165[/C][/ROW]
[ROW][C]25[/C][C]0.002029[/C][C]0.0157[/C][C]0.493756[/C][/ROW]
[ROW][C]26[/C][C]-0.027609[/C][C]-0.2139[/C][C]0.415691[/C][/ROW]
[ROW][C]27[/C][C]-0.058444[/C][C]-0.4527[/C][C]0.326196[/C][/ROW]
[ROW][C]28[/C][C]-0.086616[/C][C]-0.6709[/C][C]0.252422[/C][/ROW]
[ROW][C]29[/C][C]-0.108854[/C][C]-0.8432[/C][C]0.201238[/C][/ROW]
[ROW][C]30[/C][C]-0.134087[/C][C]-1.0386[/C][C]0.151572[/C][/ROW]
[ROW][C]31[/C][C]-0.160399[/C][C]-1.2424[/C][C]0.109453[/C][/ROW]
[ROW][C]32[/C][C]-0.186349[/C][C]-1.4435[/C][C]0.077047[/C][/ROW]
[ROW][C]33[/C][C]-0.19715[/C][C]-1.5271[/C][C]0.065994[/C][/ROW]
[ROW][C]34[/C][C]-0.200566[/C][C]-1.5536[/C][C]0.062772[/C][/ROW]
[ROW][C]35[/C][C]-0.202621[/C][C]-1.5695[/C][C]0.060896[/C][/ROW]
[ROW][C]36[/C][C]-0.204936[/C][C]-1.5874[/C][C]0.058836[/C][/ROW]
[ROW][C]37[/C][C]-0.208731[/C][C]-1.6168[/C][C]0.055582[/C][/ROW]
[ROW][C]38[/C][C]-0.214308[/C][C]-1.66[/C][C]0.051064[/C][/ROW]
[ROW][C]39[/C][C]-0.226397[/C][C]-1.7537[/C][C]0.042298[/C][/ROW]
[ROW][C]40[/C][C]-0.24109[/C][C]-1.8675[/C][C]0.033361[/C][/ROW]
[ROW][C]41[/C][C]-0.25523[/C][C]-1.977[/C][C]0.026321[/C][/ROW]
[ROW][C]42[/C][C]-0.270946[/C][C]-2.0987[/C][C]0.020028[/C][/ROW]
[ROW][C]43[/C][C]-0.287364[/C][C]-2.2259[/C][C]0.014894[/C][/ROW]
[ROW][C]44[/C][C]-0.303828[/C][C]-2.3534[/C][C]0.010947[/C][/ROW]
[ROW][C]45[/C][C]-0.317118[/C][C]-2.4564[/C][C]0.008473[/C][/ROW]
[ROW][C]46[/C][C]-0.319695[/C][C]-2.4763[/C][C]0.008056[/C][/ROW]
[ROW][C]47[/C][C]-0.314664[/C][C]-2.4374[/C][C]0.008888[/C][/ROW]
[ROW][C]48[/C][C]-0.312454[/C][C]-2.4203[/C][C]0.009277[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232551&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232551&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 k ACF(k) T-STAT P-value 1 0.907183 7.027 0 2 0.799204 6.1906 0 3 0.693305 5.3703 1e-06 4 0.601238 4.6572 9e-06 5 0.530151 4.1065 6.2e-05 6 0.46714 3.6184 0.000305 7 0.404175 3.1307 0.001347 8 0.347288 2.6901 0.004619 9 0.315342 2.4426 0.008771 10 0.299412 2.3192 0.011902 11 0.28081 2.1751 0.016786 12 0.256066 1.9835 0.025948 13 0.227289 1.7606 0.041704 14 0.196393 1.5213 0.066725 15 0.169759 1.3149 0.096766 16 0.148546 1.1506 0.127225 17 0.129683 1.0045 0.15958 18 0.112322 0.87 0.193872 19 0.096828 0.75 0.228085 20 0.083295 0.6452 0.260627 21 0.073902 0.5724 0.284579 22 0.062599 0.4849 0.314759 23 0.045842 0.3551 0.361883 24 0.027119 0.2101 0.417165 25 0.002029 0.0157 0.493756 26 -0.027609 -0.2139 0.415691 27 -0.058444 -0.4527 0.326196 28 -0.086616 -0.6709 0.252422 29 -0.108854 -0.8432 0.201238 30 -0.134087 -1.0386 0.151572 31 -0.160399 -1.2424 0.109453 32 -0.186349 -1.4435 0.077047 33 -0.19715 -1.5271 0.065994 34 -0.200566 -1.5536 0.062772 35 -0.202621 -1.5695 0.060896 36 -0.204936 -1.5874 0.058836 37 -0.208731 -1.6168 0.055582 38 -0.214308 -1.66 0.051064 39 -0.226397 -1.7537 0.042298 40 -0.24109 -1.8675 0.033361 41 -0.25523 -1.977 0.026321 42 -0.270946 -2.0987 0.020028 43 -0.287364 -2.2259 0.014894 44 -0.303828 -2.3534 0.010947 45 -0.317118 -2.4564 0.008473 46 -0.319695 -2.4763 0.008056 47 -0.314664 -2.4374 0.008888 48 -0.312454 -2.4203 0.009277

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.907183 7.027 0 2 -0.134321 -1.0404 0.151154 3 -0.041722 -0.3232 0.373844 4 0.014835 0.1149 0.454451 5 0.051255 0.397 0.34638 6 -0.018121 -0.1404 0.444422 7 -0.045496 -0.3524 0.362883 8 0.001702 0.0132 0.494764 9 0.108158 0.8378 0.202738 10 0.046453 0.3598 0.360121 11 -0.046079 -0.3569 0.361199 12 -0.033666 -0.2608 0.397579 13 -0.004885 -0.0378 0.484971 14 -0.014506 -0.1124 0.455455 15 -0.005036 -0.039 0.484507 16 0.001986 0.0154 0.493888 17 0.006685 0.0518 0.479438 18 0.006833 0.0529 0.478982 19 -0.004695 -0.0364 0.485554 20 -0.009692 -0.0751 0.470203 21 0.008239 0.0638 0.474664 22 -0.023827 -0.1846 0.427096 23 -0.036998 -0.2866 0.387709 24 -0.012278 -0.0951 0.462274 25 -0.0449 -0.3478 0.364607 26 -0.045151 -0.3497 0.363879 27 -0.034969 -0.2709 0.39371 28 -0.015931 -0.1234 0.451102 29 -0.000606 -0.0047 0.498136 30 -0.059847 -0.4636 0.322315 31 -0.04644 -0.3597 0.36016 32 -0.030604 -0.2371 0.406709 33 0.052112 0.4037 0.343949 34 -0.010221 -0.0792 0.468578 35 -0.030529 -0.2365 0.406933 36 -0.012139 -0.094 0.462699 37 -0.002244 -0.0174 0.493095 38 -0.025346 -0.1963 0.422509 39 -0.072506 -0.5616 0.288232 40 -0.040562 -0.3142 0.377231 41 -0.003289 -0.0255 0.489881 42 -0.029562 -0.229 0.40983 43 -0.048337 -0.3744 0.354707 44 -0.042268 -0.3274 0.372249 45 -0.014699 -0.1139 0.454866 46 0.02213 0.1714 0.432236 47 -0.005206 -0.0403 0.483984 48 -0.053517 -0.4145 0.339979

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.907183 & 7.027 & 0 \tabularnewline
2 & -0.134321 & -1.0404 & 0.151154 \tabularnewline
3 & -0.041722 & -0.3232 & 0.373844 \tabularnewline
4 & 0.014835 & 0.1149 & 0.454451 \tabularnewline
5 & 0.051255 & 0.397 & 0.34638 \tabularnewline
6 & -0.018121 & -0.1404 & 0.444422 \tabularnewline
7 & -0.045496 & -0.3524 & 0.362883 \tabularnewline
8 & 0.001702 & 0.0132 & 0.494764 \tabularnewline
9 & 0.108158 & 0.8378 & 0.202738 \tabularnewline
10 & 0.046453 & 0.3598 & 0.360121 \tabularnewline
11 & -0.046079 & -0.3569 & 0.361199 \tabularnewline
12 & -0.033666 & -0.2608 & 0.397579 \tabularnewline
13 & -0.004885 & -0.0378 & 0.484971 \tabularnewline
14 & -0.014506 & -0.1124 & 0.455455 \tabularnewline
15 & -0.005036 & -0.039 & 0.484507 \tabularnewline
16 & 0.001986 & 0.0154 & 0.493888 \tabularnewline
17 & 0.006685 & 0.0518 & 0.479438 \tabularnewline
18 & 0.006833 & 0.0529 & 0.478982 \tabularnewline
19 & -0.004695 & -0.0364 & 0.485554 \tabularnewline
20 & -0.009692 & -0.0751 & 0.470203 \tabularnewline
21 & 0.008239 & 0.0638 & 0.474664 \tabularnewline
22 & -0.023827 & -0.1846 & 0.427096 \tabularnewline
23 & -0.036998 & -0.2866 & 0.387709 \tabularnewline
24 & -0.012278 & -0.0951 & 0.462274 \tabularnewline
25 & -0.0449 & -0.3478 & 0.364607 \tabularnewline
26 & -0.045151 & -0.3497 & 0.363879 \tabularnewline
27 & -0.034969 & -0.2709 & 0.39371 \tabularnewline
28 & -0.015931 & -0.1234 & 0.451102 \tabularnewline
29 & -0.000606 & -0.0047 & 0.498136 \tabularnewline
30 & -0.059847 & -0.4636 & 0.322315 \tabularnewline
31 & -0.04644 & -0.3597 & 0.36016 \tabularnewline
32 & -0.030604 & -0.2371 & 0.406709 \tabularnewline
33 & 0.052112 & 0.4037 & 0.343949 \tabularnewline
34 & -0.010221 & -0.0792 & 0.468578 \tabularnewline
35 & -0.030529 & -0.2365 & 0.406933 \tabularnewline
36 & -0.012139 & -0.094 & 0.462699 \tabularnewline
37 & -0.002244 & -0.0174 & 0.493095 \tabularnewline
38 & -0.025346 & -0.1963 & 0.422509 \tabularnewline
39 & -0.072506 & -0.5616 & 0.288232 \tabularnewline
40 & -0.040562 & -0.3142 & 0.377231 \tabularnewline
41 & -0.003289 & -0.0255 & 0.489881 \tabularnewline
42 & -0.029562 & -0.229 & 0.40983 \tabularnewline
43 & -0.048337 & -0.3744 & 0.354707 \tabularnewline
44 & -0.042268 & -0.3274 & 0.372249 \tabularnewline
45 & -0.014699 & -0.1139 & 0.454866 \tabularnewline
46 & 0.02213 & 0.1714 & 0.432236 \tabularnewline
47 & -0.005206 & -0.0403 & 0.483984 \tabularnewline
48 & -0.053517 & -0.4145 & 0.339979 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232551&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]0.907183[/C][C]7.027[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.134321[/C][C]-1.0404[/C][C]0.151154[/C][/ROW]
[ROW][C]3[/C][C]-0.041722[/C][C]-0.3232[/C][C]0.373844[/C][/ROW]
[ROW][C]4[/C][C]0.014835[/C][C]0.1149[/C][C]0.454451[/C][/ROW]
[ROW][C]5[/C][C]0.051255[/C][C]0.397[/C][C]0.34638[/C][/ROW]
[ROW][C]6[/C][C]-0.018121[/C][C]-0.1404[/C][C]0.444422[/C][/ROW]
[ROW][C]7[/C][C]-0.045496[/C][C]-0.3524[/C][C]0.362883[/C][/ROW]
[ROW][C]8[/C][C]0.001702[/C][C]0.0132[/C][C]0.494764[/C][/ROW]
[ROW][C]9[/C][C]0.108158[/C][C]0.8378[/C][C]0.202738[/C][/ROW]
[ROW][C]10[/C][C]0.046453[/C][C]0.3598[/C][C]0.360121[/C][/ROW]
[ROW][C]11[/C][C]-0.046079[/C][C]-0.3569[/C][C]0.361199[/C][/ROW]
[ROW][C]12[/C][C]-0.033666[/C][C]-0.2608[/C][C]0.397579[/C][/ROW]
[ROW][C]13[/C][C]-0.004885[/C][C]-0.0378[/C][C]0.484971[/C][/ROW]
[ROW][C]14[/C][C]-0.014506[/C][C]-0.1124[/C][C]0.455455[/C][/ROW]
[ROW][C]15[/C][C]-0.005036[/C][C]-0.039[/C][C]0.484507[/C][/ROW]
[ROW][C]16[/C][C]0.001986[/C][C]0.0154[/C][C]0.493888[/C][/ROW]
[ROW][C]17[/C][C]0.006685[/C][C]0.0518[/C][C]0.479438[/C][/ROW]
[ROW][C]18[/C][C]0.006833[/C][C]0.0529[/C][C]0.478982[/C][/ROW]
[ROW][C]19[/C][C]-0.004695[/C][C]-0.0364[/C][C]0.485554[/C][/ROW]
[ROW][C]20[/C][C]-0.009692[/C][C]-0.0751[/C][C]0.470203[/C][/ROW]
[ROW][C]21[/C][C]0.008239[/C][C]0.0638[/C][C]0.474664[/C][/ROW]
[ROW][C]22[/C][C]-0.023827[/C][C]-0.1846[/C][C]0.427096[/C][/ROW]
[ROW][C]23[/C][C]-0.036998[/C][C]-0.2866[/C][C]0.387709[/C][/ROW]
[ROW][C]24[/C][C]-0.012278[/C][C]-0.0951[/C][C]0.462274[/C][/ROW]
[ROW][C]25[/C][C]-0.0449[/C][C]-0.3478[/C][C]0.364607[/C][/ROW]
[ROW][C]26[/C][C]-0.045151[/C][C]-0.3497[/C][C]0.363879[/C][/ROW]
[ROW][C]27[/C][C]-0.034969[/C][C]-0.2709[/C][C]0.39371[/C][/ROW]
[ROW][C]28[/C][C]-0.015931[/C][C]-0.1234[/C][C]0.451102[/C][/ROW]
[ROW][C]29[/C][C]-0.000606[/C][C]-0.0047[/C][C]0.498136[/C][/ROW]
[ROW][C]30[/C][C]-0.059847[/C][C]-0.4636[/C][C]0.322315[/C][/ROW]
[ROW][C]31[/C][C]-0.04644[/C][C]-0.3597[/C][C]0.36016[/C][/ROW]
[ROW][C]32[/C][C]-0.030604[/C][C]-0.2371[/C][C]0.406709[/C][/ROW]
[ROW][C]33[/C][C]0.052112[/C][C]0.4037[/C][C]0.343949[/C][/ROW]
[ROW][C]34[/C][C]-0.010221[/C][C]-0.0792[/C][C]0.468578[/C][/ROW]
[ROW][C]35[/C][C]-0.030529[/C][C]-0.2365[/C][C]0.406933[/C][/ROW]
[ROW][C]36[/C][C]-0.012139[/C][C]-0.094[/C][C]0.462699[/C][/ROW]
[ROW][C]37[/C][C]-0.002244[/C][C]-0.0174[/C][C]0.493095[/C][/ROW]
[ROW][C]38[/C][C]-0.025346[/C][C]-0.1963[/C][C]0.422509[/C][/ROW]
[ROW][C]39[/C][C]-0.072506[/C][C]-0.5616[/C][C]0.288232[/C][/ROW]
[ROW][C]40[/C][C]-0.040562[/C][C]-0.3142[/C][C]0.377231[/C][/ROW]
[ROW][C]41[/C][C]-0.003289[/C][C]-0.0255[/C][C]0.489881[/C][/ROW]
[ROW][C]42[/C][C]-0.029562[/C][C]-0.229[/C][C]0.40983[/C][/ROW]
[ROW][C]43[/C][C]-0.048337[/C][C]-0.3744[/C][C]0.354707[/C][/ROW]
[ROW][C]44[/C][C]-0.042268[/C][C]-0.3274[/C][C]0.372249[/C][/ROW]
[ROW][C]45[/C][C]-0.014699[/C][C]-0.1139[/C][C]0.454866[/C][/ROW]
[ROW][C]46[/C][C]0.02213[/C][C]0.1714[/C][C]0.432236[/C][/ROW]
[ROW][C]47[/C][C]-0.005206[/C][C]-0.0403[/C][C]0.483984[/C][/ROW]
[ROW][C]48[/C][C]-0.053517[/C][C]-0.4145[/C][C]0.339979[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232551&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232551&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 k PACF(k) T-STAT P-value 1 0.907183 7.027 0 2 -0.134321 -1.0404 0.151154 3 -0.041722 -0.3232 0.373844 4 0.014835 0.1149 0.454451 5 0.051255 0.397 0.34638 6 -0.018121 -0.1404 0.444422 7 -0.045496 -0.3524 0.362883 8 0.001702 0.0132 0.494764 9 0.108158 0.8378 0.202738 10 0.046453 0.3598 0.360121 11 -0.046079 -0.3569 0.361199 12 -0.033666 -0.2608 0.397579 13 -0.004885 -0.0378 0.484971 14 -0.014506 -0.1124 0.455455 15 -0.005036 -0.039 0.484507 16 0.001986 0.0154 0.493888 17 0.006685 0.0518 0.479438 18 0.006833 0.0529 0.478982 19 -0.004695 -0.0364 0.485554 20 -0.009692 -0.0751 0.470203 21 0.008239 0.0638 0.474664 22 -0.023827 -0.1846 0.427096 23 -0.036998 -0.2866 0.387709 24 -0.012278 -0.0951 0.462274 25 -0.0449 -0.3478 0.364607 26 -0.045151 -0.3497 0.363879 27 -0.034969 -0.2709 0.39371 28 -0.015931 -0.1234 0.451102 29 -0.000606 -0.0047 0.498136 30 -0.059847 -0.4636 0.322315 31 -0.04644 -0.3597 0.36016 32 -0.030604 -0.2371 0.406709 33 0.052112 0.4037 0.343949 34 -0.010221 -0.0792 0.468578 35 -0.030529 -0.2365 0.406933 36 -0.012139 -0.094 0.462699 37 -0.002244 -0.0174 0.493095 38 -0.025346 -0.1963 0.422509 39 -0.072506 -0.5616 0.288232 40 -0.040562 -0.3142 0.377231 41 -0.003289 -0.0255 0.489881 42 -0.029562 -0.229 0.40983 43 -0.048337 -0.3744 0.354707 44 -0.042268 -0.3274 0.372249 45 -0.014699 -0.1139 0.454866 46 0.02213 0.1714 0.432236 47 -0.005206 -0.0403 0.483984 48 -0.053517 -0.4145 0.339979

Parameters (Session):
par1 = 12 ;
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):
par8 <- ''par7 <- '0.95'par6 <- 'White Noise'par5 <- '12'par4 <- '0'par3 <- '0'par2 <- '1'par1 <- 'Default'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 <- xif (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]*sqrtna<-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]*sqrtna<-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')