## 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 11:16:18 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/22/t1387729009h8y5sgxh9q5thfl.htm/, Retrieved Sun, 05 Dec 2021 16:47:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232542, Retrieved Sun, 05 Dec 2021 16:47:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [werkloosheidscijf...] [2013-10-08 18:26:09] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD  [Harrell-Davis Quantiles] [consumtieprijs va...] [2013-12-21 15:50:38] [6a1a05b03d1c87a66b915fc3d5866cc8]
-   PD    [Harrell-Davis Quantiles] [] [2013-12-21 16:11:56] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD      [(Partial) Autocorrelation Function] [] [2013-12-21 18:23:11] [6a1a05b03d1c87a66b915fc3d5866cc8]
- R PD          [(Partial) Autocorrelation Function] [] [2013-12-22 16:16:18] [4a7f7842fc88d649abcd00dd10ef7b6c] [Current]
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Dataseries X:
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107
99
103
131
137
135
124
118
121
121
118
113
107
100
102
130
136
133
120
112
109
110
106
102
98
92
92
120
127
124
114
108
106
111
110
104
100
96
98
122
134
133
125
118
116


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 5 seconds R Server 'Gwilym Jenkins' @ jenkins.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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232542&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232542&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232542&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 5 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.316586 2.8842 0.002498 2 -0.213313 -1.9434 0.02768 3 -0.391644 -3.568 3e-04 4 -0.277885 -2.5317 0.006619 5 -0.003406 -0.031 0.487661 6 0.187842 1.7113 0.045378 7 0.026913 0.2452 0.403458 8 -0.218091 -1.9869 0.025116 9 -0.338854 -3.0871 0.001374 10 -0.217375 -1.9804 0.025487 11 0.2473 2.253 0.013448 12 0.81929 7.4641 0 13 0.261324 2.3808 0.009783 14 -0.197855 -1.8025 0.037545 15 -0.325028 -2.9611 0.001998 16 -0.231277 -2.107 0.019066 17 0.013602 0.1239 0.450839 18 0.137243 1.2503 0.107344 19 0.021507 0.1959 0.42257 20 -0.19163 -1.7458 0.04227 21 -0.297376 -2.7092 0.004095 22 -0.192385 -1.7527 0.041672 23 0.20444 1.8625 0.033033 24 0.6623 6.0338 0 25 0.220343 2.0074 0.02398 26 -0.155295 -1.4148 0.080434 27 -0.284754 -2.5942 0.005603 28 -0.194508 -1.772 0.040028 29 0.012579 0.1146 0.454521 30 0.114576 1.0438 0.149796 31 0.033901 0.3089 0.379102 32 -0.140426 -1.2793 0.102171 33 -0.22948 -2.0907 0.019809 34 -0.143534 -1.3077 0.0973 35 0.162905 1.4841 0.07078 36 0.534193 4.8667 3e-06 37 0.194611 1.773 0.039949 38 -0.111603 -1.0168 0.156113 39 -0.217484 -1.9814 0.02543 40 -0.14796 -1.348 0.090666 41 0.009685 0.0882 0.464951 42 0.096965 0.8834 0.189789 43 0.011124 0.1013 0.45976 44 -0.120715 -1.0998 0.137307 45 -0.178751 -1.6285 0.053605 46 -0.097823 -0.8912 0.187698 47 0.120543 1.0982 0.137646 48 0.415864 3.7887 0.000143

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.316586 & 2.8842 & 0.002498 \tabularnewline
2 & -0.213313 & -1.9434 & 0.02768 \tabularnewline
3 & -0.391644 & -3.568 & 3e-04 \tabularnewline
4 & -0.277885 & -2.5317 & 0.006619 \tabularnewline
5 & -0.003406 & -0.031 & 0.487661 \tabularnewline
6 & 0.187842 & 1.7113 & 0.045378 \tabularnewline
7 & 0.026913 & 0.2452 & 0.403458 \tabularnewline
8 & -0.218091 & -1.9869 & 0.025116 \tabularnewline
9 & -0.338854 & -3.0871 & 0.001374 \tabularnewline
10 & -0.217375 & -1.9804 & 0.025487 \tabularnewline
11 & 0.2473 & 2.253 & 0.013448 \tabularnewline
12 & 0.81929 & 7.4641 & 0 \tabularnewline
13 & 0.261324 & 2.3808 & 0.009783 \tabularnewline
14 & -0.197855 & -1.8025 & 0.037545 \tabularnewline
15 & -0.325028 & -2.9611 & 0.001998 \tabularnewline
16 & -0.231277 & -2.107 & 0.019066 \tabularnewline
17 & 0.013602 & 0.1239 & 0.450839 \tabularnewline
18 & 0.137243 & 1.2503 & 0.107344 \tabularnewline
19 & 0.021507 & 0.1959 & 0.42257 \tabularnewline
20 & -0.19163 & -1.7458 & 0.04227 \tabularnewline
21 & -0.297376 & -2.7092 & 0.004095 \tabularnewline
22 & -0.192385 & -1.7527 & 0.041672 \tabularnewline
23 & 0.20444 & 1.8625 & 0.033033 \tabularnewline
24 & 0.6623 & 6.0338 & 0 \tabularnewline
25 & 0.220343 & 2.0074 & 0.02398 \tabularnewline
26 & -0.155295 & -1.4148 & 0.080434 \tabularnewline
27 & -0.284754 & -2.5942 & 0.005603 \tabularnewline
28 & -0.194508 & -1.772 & 0.040028 \tabularnewline
29 & 0.012579 & 0.1146 & 0.454521 \tabularnewline
30 & 0.114576 & 1.0438 & 0.149796 \tabularnewline
31 & 0.033901 & 0.3089 & 0.379102 \tabularnewline
32 & -0.140426 & -1.2793 & 0.102171 \tabularnewline
33 & -0.22948 & -2.0907 & 0.019809 \tabularnewline
34 & -0.143534 & -1.3077 & 0.0973 \tabularnewline
35 & 0.162905 & 1.4841 & 0.07078 \tabularnewline
36 & 0.534193 & 4.8667 & 3e-06 \tabularnewline
37 & 0.194611 & 1.773 & 0.039949 \tabularnewline
38 & -0.111603 & -1.0168 & 0.156113 \tabularnewline
39 & -0.217484 & -1.9814 & 0.02543 \tabularnewline
40 & -0.14796 & -1.348 & 0.090666 \tabularnewline
41 & 0.009685 & 0.0882 & 0.464951 \tabularnewline
42 & 0.096965 & 0.8834 & 0.189789 \tabularnewline
43 & 0.011124 & 0.1013 & 0.45976 \tabularnewline
44 & -0.120715 & -1.0998 & 0.137307 \tabularnewline
45 & -0.178751 & -1.6285 & 0.053605 \tabularnewline
46 & -0.097823 & -0.8912 & 0.187698 \tabularnewline
47 & 0.120543 & 1.0982 & 0.137646 \tabularnewline
48 & 0.415864 & 3.7887 & 0.000143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232542&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]0.316586[/C][C]2.8842[/C][C]0.002498[/C][/ROW]
[ROW][C]2[/C][C]-0.213313[/C][C]-1.9434[/C][C]0.02768[/C][/ROW]
[ROW][C]3[/C][C]-0.391644[/C][C]-3.568[/C][C]3e-04[/C][/ROW]
[ROW][C]4[/C][C]-0.277885[/C][C]-2.5317[/C][C]0.006619[/C][/ROW]
[ROW][C]5[/C][C]-0.003406[/C][C]-0.031[/C][C]0.487661[/C][/ROW]
[ROW][C]6[/C][C]0.187842[/C][C]1.7113[/C][C]0.045378[/C][/ROW]
[ROW][C]7[/C][C]0.026913[/C][C]0.2452[/C][C]0.403458[/C][/ROW]
[ROW][C]8[/C][C]-0.218091[/C][C]-1.9869[/C][C]0.025116[/C][/ROW]
[ROW][C]9[/C][C]-0.338854[/C][C]-3.0871[/C][C]0.001374[/C][/ROW]
[ROW][C]10[/C][C]-0.217375[/C][C]-1.9804[/C][C]0.025487[/C][/ROW]
[ROW][C]11[/C][C]0.2473[/C][C]2.253[/C][C]0.013448[/C][/ROW]
[ROW][C]12[/C][C]0.81929[/C][C]7.4641[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.261324[/C][C]2.3808[/C][C]0.009783[/C][/ROW]
[ROW][C]14[/C][C]-0.197855[/C][C]-1.8025[/C][C]0.037545[/C][/ROW]
[ROW][C]15[/C][C]-0.325028[/C][C]-2.9611[/C][C]0.001998[/C][/ROW]
[ROW][C]16[/C][C]-0.231277[/C][C]-2.107[/C][C]0.019066[/C][/ROW]
[ROW][C]17[/C][C]0.013602[/C][C]0.1239[/C][C]0.450839[/C][/ROW]
[ROW][C]18[/C][C]0.137243[/C][C]1.2503[/C][C]0.107344[/C][/ROW]
[ROW][C]19[/C][C]0.021507[/C][C]0.1959[/C][C]0.42257[/C][/ROW]
[ROW][C]20[/C][C]-0.19163[/C][C]-1.7458[/C][C]0.04227[/C][/ROW]
[ROW][C]21[/C][C]-0.297376[/C][C]-2.7092[/C][C]0.004095[/C][/ROW]
[ROW][C]22[/C][C]-0.192385[/C][C]-1.7527[/C][C]0.041672[/C][/ROW]
[ROW][C]23[/C][C]0.20444[/C][C]1.8625[/C][C]0.033033[/C][/ROW]
[ROW][C]24[/C][C]0.6623[/C][C]6.0338[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0.220343[/C][C]2.0074[/C][C]0.02398[/C][/ROW]
[ROW][C]26[/C][C]-0.155295[/C][C]-1.4148[/C][C]0.080434[/C][/ROW]
[ROW][C]27[/C][C]-0.284754[/C][C]-2.5942[/C][C]0.005603[/C][/ROW]
[ROW][C]28[/C][C]-0.194508[/C][C]-1.772[/C][C]0.040028[/C][/ROW]
[ROW][C]29[/C][C]0.012579[/C][C]0.1146[/C][C]0.454521[/C][/ROW]
[ROW][C]30[/C][C]0.114576[/C][C]1.0438[/C][C]0.149796[/C][/ROW]
[ROW][C]31[/C][C]0.033901[/C][C]0.3089[/C][C]0.379102[/C][/ROW]
[ROW][C]32[/C][C]-0.140426[/C][C]-1.2793[/C][C]0.102171[/C][/ROW]
[ROW][C]33[/C][C]-0.22948[/C][C]-2.0907[/C][C]0.019809[/C][/ROW]
[ROW][C]34[/C][C]-0.143534[/C][C]-1.3077[/C][C]0.0973[/C][/ROW]
[ROW][C]35[/C][C]0.162905[/C][C]1.4841[/C][C]0.07078[/C][/ROW]
[ROW][C]36[/C][C]0.534193[/C][C]4.8667[/C][C]3e-06[/C][/ROW]
[ROW][C]37[/C][C]0.194611[/C][C]1.773[/C][C]0.039949[/C][/ROW]
[ROW][C]38[/C][C]-0.111603[/C][C]-1.0168[/C][C]0.156113[/C][/ROW]
[ROW][C]39[/C][C]-0.217484[/C][C]-1.9814[/C][C]0.02543[/C][/ROW]
[ROW][C]40[/C][C]-0.14796[/C][C]-1.348[/C][C]0.090666[/C][/ROW]
[ROW][C]41[/C][C]0.009685[/C][C]0.0882[/C][C]0.464951[/C][/ROW]
[ROW][C]42[/C][C]0.096965[/C][C]0.8834[/C][C]0.189789[/C][/ROW]
[ROW][C]43[/C][C]0.011124[/C][C]0.1013[/C][C]0.45976[/C][/ROW]
[ROW][C]44[/C][C]-0.120715[/C][C]-1.0998[/C][C]0.137307[/C][/ROW]
[ROW][C]45[/C][C]-0.178751[/C][C]-1.6285[/C][C]0.053605[/C][/ROW]
[ROW][C]46[/C][C]-0.097823[/C][C]-0.8912[/C][C]0.187698[/C][/ROW]
[ROW][C]47[/C][C]0.120543[/C][C]1.0982[/C][C]0.137646[/C][/ROW]
[ROW][C]48[/C][C]0.415864[/C][C]3.7887[/C][C]0.000143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232542&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232542&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 0.316586 2.8842 0.002498 2 -0.213313 -1.9434 0.02768 3 -0.391644 -3.568 3e-04 4 -0.277885 -2.5317 0.006619 5 -0.003406 -0.031 0.487661 6 0.187842 1.7113 0.045378 7 0.026913 0.2452 0.403458 8 -0.218091 -1.9869 0.025116 9 -0.338854 -3.0871 0.001374 10 -0.217375 -1.9804 0.025487 11 0.2473 2.253 0.013448 12 0.81929 7.4641 0 13 0.261324 2.3808 0.009783 14 -0.197855 -1.8025 0.037545 15 -0.325028 -2.9611 0.001998 16 -0.231277 -2.107 0.019066 17 0.013602 0.1239 0.450839 18 0.137243 1.2503 0.107344 19 0.021507 0.1959 0.42257 20 -0.19163 -1.7458 0.04227 21 -0.297376 -2.7092 0.004095 22 -0.192385 -1.7527 0.041672 23 0.20444 1.8625 0.033033 24 0.6623 6.0338 0 25 0.220343 2.0074 0.02398 26 -0.155295 -1.4148 0.080434 27 -0.284754 -2.5942 0.005603 28 -0.194508 -1.772 0.040028 29 0.012579 0.1146 0.454521 30 0.114576 1.0438 0.149796 31 0.033901 0.3089 0.379102 32 -0.140426 -1.2793 0.102171 33 -0.22948 -2.0907 0.019809 34 -0.143534 -1.3077 0.0973 35 0.162905 1.4841 0.07078 36 0.534193 4.8667 3e-06 37 0.194611 1.773 0.039949 38 -0.111603 -1.0168 0.156113 39 -0.217484 -1.9814 0.02543 40 -0.14796 -1.348 0.090666 41 0.009685 0.0882 0.464951 42 0.096965 0.8834 0.189789 43 0.011124 0.1013 0.45976 44 -0.120715 -1.0998 0.137307 45 -0.178751 -1.6285 0.053605 46 -0.097823 -0.8912 0.187698 47 0.120543 1.0982 0.137646 48 0.415864 3.7887 0.000143

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.316586 2.8842 0.002498 2 -0.348465 -3.1747 0.001053 3 -0.240679 -2.1927 0.015564 4 -0.160805 -1.465 0.073349 5 -0.026478 -0.2412 0.404987 6 0.011619 0.1059 0.457977 7 -0.209826 -1.9116 0.029689 8 -0.25596 -2.3319 0.011065 9 -0.340165 -3.0991 0.001325 10 -0.372339 -3.3922 0.000532 11 -0.049073 -0.4471 0.327992 12 0.649473 5.917 0 13 -0.351782 -3.2049 0.000959 14 0.021847 0.199 0.421362 15 0.194524 1.7722 0.040015 16 0.019507 0.1777 0.429688 17 -0.010574 -0.0963 0.461746 18 -0.175296 -1.597 0.05703 19 0.071186 0.6485 0.259214 20 -0.076482 -0.6968 0.243944 21 -0.108304 -0.9867 0.163331 22 0.004217 0.0384 0.484722 23 -0.098531 -0.8977 0.185982 24 -0.106524 -0.9705 0.167314 25 -0.017785 -0.162 0.435837 26 0.029842 0.2719 0.393197 27 -0.211571 -1.9275 0.028668 28 -0.052779 -0.4808 0.315947 29 -0.075233 -0.6854 0.247498 30 -0.01036 -0.0944 0.462517 31 -0.112422 -1.0242 0.154355 32 -0.062771 -0.5719 0.284479 33 0.083726 0.7628 0.223878 34 -0.055419 -0.5049 0.307486 35 -0.079486 -0.7242 0.235504 36 0.043237 0.3939 0.347329 37 0.039979 0.3642 0.358307 38 -0.051625 -0.4703 0.319679 39 0.097803 0.891 0.187745 40 0.044855 0.4086 0.341925 41 -0.012615 -0.1149 0.454389 42 0.080833 0.7364 0.231774 43 -0.078188 -0.7123 0.239129 44 0.096862 0.8825 0.19004 45 -0.047858 -0.436 0.33198 46 0.03586 0.3267 0.372359 47 -0.019852 -0.1809 0.428458 48 -0.075539 -0.6882 0.246625

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.316586 & 2.8842 & 0.002498 \tabularnewline
2 & -0.348465 & -3.1747 & 0.001053 \tabularnewline
3 & -0.240679 & -2.1927 & 0.015564 \tabularnewline
4 & -0.160805 & -1.465 & 0.073349 \tabularnewline
5 & -0.026478 & -0.2412 & 0.404987 \tabularnewline
6 & 0.011619 & 0.1059 & 0.457977 \tabularnewline
7 & -0.209826 & -1.9116 & 0.029689 \tabularnewline
8 & -0.25596 & -2.3319 & 0.011065 \tabularnewline
9 & -0.340165 & -3.0991 & 0.001325 \tabularnewline
10 & -0.372339 & -3.3922 & 0.000532 \tabularnewline
11 & -0.049073 & -0.4471 & 0.327992 \tabularnewline
12 & 0.649473 & 5.917 & 0 \tabularnewline
13 & -0.351782 & -3.2049 & 0.000959 \tabularnewline
14 & 0.021847 & 0.199 & 0.421362 \tabularnewline
15 & 0.194524 & 1.7722 & 0.040015 \tabularnewline
16 & 0.019507 & 0.1777 & 0.429688 \tabularnewline
17 & -0.010574 & -0.0963 & 0.461746 \tabularnewline
18 & -0.175296 & -1.597 & 0.05703 \tabularnewline
19 & 0.071186 & 0.6485 & 0.259214 \tabularnewline
20 & -0.076482 & -0.6968 & 0.243944 \tabularnewline
21 & -0.108304 & -0.9867 & 0.163331 \tabularnewline
22 & 0.004217 & 0.0384 & 0.484722 \tabularnewline
23 & -0.098531 & -0.8977 & 0.185982 \tabularnewline
24 & -0.106524 & -0.9705 & 0.167314 \tabularnewline
25 & -0.017785 & -0.162 & 0.435837 \tabularnewline
26 & 0.029842 & 0.2719 & 0.393197 \tabularnewline
27 & -0.211571 & -1.9275 & 0.028668 \tabularnewline
28 & -0.052779 & -0.4808 & 0.315947 \tabularnewline
29 & -0.075233 & -0.6854 & 0.247498 \tabularnewline
30 & -0.01036 & -0.0944 & 0.462517 \tabularnewline
31 & -0.112422 & -1.0242 & 0.154355 \tabularnewline
32 & -0.062771 & -0.5719 & 0.284479 \tabularnewline
33 & 0.083726 & 0.7628 & 0.223878 \tabularnewline
34 & -0.055419 & -0.5049 & 0.307486 \tabularnewline
35 & -0.079486 & -0.7242 & 0.235504 \tabularnewline
36 & 0.043237 & 0.3939 & 0.347329 \tabularnewline
37 & 0.039979 & 0.3642 & 0.358307 \tabularnewline
38 & -0.051625 & -0.4703 & 0.319679 \tabularnewline
39 & 0.097803 & 0.891 & 0.187745 \tabularnewline
40 & 0.044855 & 0.4086 & 0.341925 \tabularnewline
41 & -0.012615 & -0.1149 & 0.454389 \tabularnewline
42 & 0.080833 & 0.7364 & 0.231774 \tabularnewline
43 & -0.078188 & -0.7123 & 0.239129 \tabularnewline
44 & 0.096862 & 0.8825 & 0.19004 \tabularnewline
45 & -0.047858 & -0.436 & 0.33198 \tabularnewline
46 & 0.03586 & 0.3267 & 0.372359 \tabularnewline
47 & -0.019852 & -0.1809 & 0.428458 \tabularnewline
48 & -0.075539 & -0.6882 & 0.246625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232542&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]0.316586[/C][C]2.8842[/C][C]0.002498[/C][/ROW]
[ROW][C]2[/C][C]-0.348465[/C][C]-3.1747[/C][C]0.001053[/C][/ROW]
[ROW][C]3[/C][C]-0.240679[/C][C]-2.1927[/C][C]0.015564[/C][/ROW]
[ROW][C]4[/C][C]-0.160805[/C][C]-1.465[/C][C]0.073349[/C][/ROW]
[ROW][C]5[/C][C]-0.026478[/C][C]-0.2412[/C][C]0.404987[/C][/ROW]
[ROW][C]6[/C][C]0.011619[/C][C]0.1059[/C][C]0.457977[/C][/ROW]
[ROW][C]7[/C][C]-0.209826[/C][C]-1.9116[/C][C]0.029689[/C][/ROW]
[ROW][C]8[/C][C]-0.25596[/C][C]-2.3319[/C][C]0.011065[/C][/ROW]
[ROW][C]9[/C][C]-0.340165[/C][C]-3.0991[/C][C]0.001325[/C][/ROW]
[ROW][C]10[/C][C]-0.372339[/C][C]-3.3922[/C][C]0.000532[/C][/ROW]
[ROW][C]11[/C][C]-0.049073[/C][C]-0.4471[/C][C]0.327992[/C][/ROW]
[ROW][C]12[/C][C]0.649473[/C][C]5.917[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]-0.351782[/C][C]-3.2049[/C][C]0.000959[/C][/ROW]
[ROW][C]14[/C][C]0.021847[/C][C]0.199[/C][C]0.421362[/C][/ROW]
[ROW][C]15[/C][C]0.194524[/C][C]1.7722[/C][C]0.040015[/C][/ROW]
[ROW][C]16[/C][C]0.019507[/C][C]0.1777[/C][C]0.429688[/C][/ROW]
[ROW][C]17[/C][C]-0.010574[/C][C]-0.0963[/C][C]0.461746[/C][/ROW]
[ROW][C]18[/C][C]-0.175296[/C][C]-1.597[/C][C]0.05703[/C][/ROW]
[ROW][C]19[/C][C]0.071186[/C][C]0.6485[/C][C]0.259214[/C][/ROW]
[ROW][C]20[/C][C]-0.076482[/C][C]-0.6968[/C][C]0.243944[/C][/ROW]
[ROW][C]21[/C][C]-0.108304[/C][C]-0.9867[/C][C]0.163331[/C][/ROW]
[ROW][C]22[/C][C]0.004217[/C][C]0.0384[/C][C]0.484722[/C][/ROW]
[ROW][C]23[/C][C]-0.098531[/C][C]-0.8977[/C][C]0.185982[/C][/ROW]
[ROW][C]24[/C][C]-0.106524[/C][C]-0.9705[/C][C]0.167314[/C][/ROW]
[ROW][C]25[/C][C]-0.017785[/C][C]-0.162[/C][C]0.435837[/C][/ROW]
[ROW][C]26[/C][C]0.029842[/C][C]0.2719[/C][C]0.393197[/C][/ROW]
[ROW][C]27[/C][C]-0.211571[/C][C]-1.9275[/C][C]0.028668[/C][/ROW]
[ROW][C]28[/C][C]-0.052779[/C][C]-0.4808[/C][C]0.315947[/C][/ROW]
[ROW][C]29[/C][C]-0.075233[/C][C]-0.6854[/C][C]0.247498[/C][/ROW]
[ROW][C]30[/C][C]-0.01036[/C][C]-0.0944[/C][C]0.462517[/C][/ROW]
[ROW][C]31[/C][C]-0.112422[/C][C]-1.0242[/C][C]0.154355[/C][/ROW]
[ROW][C]32[/C][C]-0.062771[/C][C]-0.5719[/C][C]0.284479[/C][/ROW]
[ROW][C]33[/C][C]0.083726[/C][C]0.7628[/C][C]0.223878[/C][/ROW]
[ROW][C]34[/C][C]-0.055419[/C][C]-0.5049[/C][C]0.307486[/C][/ROW]
[ROW][C]35[/C][C]-0.079486[/C][C]-0.7242[/C][C]0.235504[/C][/ROW]
[ROW][C]36[/C][C]0.043237[/C][C]0.3939[/C][C]0.347329[/C][/ROW]
[ROW][C]37[/C][C]0.039979[/C][C]0.3642[/C][C]0.358307[/C][/ROW]
[ROW][C]38[/C][C]-0.051625[/C][C]-0.4703[/C][C]0.319679[/C][/ROW]
[ROW][C]39[/C][C]0.097803[/C][C]0.891[/C][C]0.187745[/C][/ROW]
[ROW][C]40[/C][C]0.044855[/C][C]0.4086[/C][C]0.341925[/C][/ROW]
[ROW][C]41[/C][C]-0.012615[/C][C]-0.1149[/C][C]0.454389[/C][/ROW]
[ROW][C]42[/C][C]0.080833[/C][C]0.7364[/C][C]0.231774[/C][/ROW]
[ROW][C]43[/C][C]-0.078188[/C][C]-0.7123[/C][C]0.239129[/C][/ROW]
[ROW][C]44[/C][C]0.096862[/C][C]0.8825[/C][C]0.19004[/C][/ROW]
[ROW][C]45[/C][C]-0.047858[/C][C]-0.436[/C][C]0.33198[/C][/ROW]
[ROW][C]46[/C][C]0.03586[/C][C]0.3267[/C][C]0.372359[/C][/ROW]
[ROW][C]47[/C][C]-0.019852[/C][C]-0.1809[/C][C]0.428458[/C][/ROW]
[ROW][C]48[/C][C]-0.075539[/C][C]-0.6882[/C][C]0.246625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232542&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232542&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 0.316586 2.8842 0.002498 2 -0.348465 -3.1747 0.001053 3 -0.240679 -2.1927 0.015564 4 -0.160805 -1.465 0.073349 5 -0.026478 -0.2412 0.404987 6 0.011619 0.1059 0.457977 7 -0.209826 -1.9116 0.029689 8 -0.25596 -2.3319 0.011065 9 -0.340165 -3.0991 0.001325 10 -0.372339 -3.3922 0.000532 11 -0.049073 -0.4471 0.327992 12 0.649473 5.917 0 13 -0.351782 -3.2049 0.000959 14 0.021847 0.199 0.421362 15 0.194524 1.7722 0.040015 16 0.019507 0.1777 0.429688 17 -0.010574 -0.0963 0.461746 18 -0.175296 -1.597 0.05703 19 0.071186 0.6485 0.259214 20 -0.076482 -0.6968 0.243944 21 -0.108304 -0.9867 0.163331 22 0.004217 0.0384 0.484722 23 -0.098531 -0.8977 0.185982 24 -0.106524 -0.9705 0.167314 25 -0.017785 -0.162 0.435837 26 0.029842 0.2719 0.393197 27 -0.211571 -1.9275 0.028668 28 -0.052779 -0.4808 0.315947 29 -0.075233 -0.6854 0.247498 30 -0.01036 -0.0944 0.462517 31 -0.112422 -1.0242 0.154355 32 -0.062771 -0.5719 0.284479 33 0.083726 0.7628 0.223878 34 -0.055419 -0.5049 0.307486 35 -0.079486 -0.7242 0.235504 36 0.043237 0.3939 0.347329 37 0.039979 0.3642 0.358307 38 -0.051625 -0.4703 0.319679 39 0.097803 0.891 0.187745 40 0.044855 0.4086 0.341925 41 -0.012615 -0.1149 0.454389 42 0.080833 0.7364 0.231774 43 -0.078188 -0.7123 0.239129 44 0.096862 0.8825 0.19004 45 -0.047858 -0.436 0.33198 46 0.03586 0.3267 0.372359 47 -0.019852 -0.1809 0.428458 48 -0.075539 -0.6882 0.246625

par8 <- ''par7 <- '0.95'par6 <- 'White Noise'par5 <- '12'par4 <- '0'par3 <- '0'par2 <- '1'par1 <- '48'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')