## 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 11:04:51 -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/t13877283534td5yqqcxmfnnpa.htm/, Retrieved Sun, 05 Dec 2021 17:36:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232540, Retrieved Sun, 05 Dec 2021 17:36:57 +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]
-    D          [(Partial) Autocorrelation Function] [] [2013-12-22 16:04:51] [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 4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232540&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]4 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=232540&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232540&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 4 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

 Autocorrelation Function Time lag k ACF(k) T-STAT P-value 1 0.737516 6.7594 0 2 0.312591 2.8649 0.002634 3 0.001162 0.0106 0.495766 4 -0.10685 -0.9793 0.165122 5 -0.069176 -0.634 0.263899 6 -0.028663 -0.2627 0.396712 7 -0.104763 -0.9602 0.169862 8 -0.19911 -1.8249 0.035787 9 -0.181004 -1.6589 0.05043 10 0.022005 0.2017 0.420329 11 0.344151 3.1542 0.001117 12 0.543332 4.9797 2e-06 13 0.319218 2.9257 0.00221 14 -0.035945 -0.3294 0.37132 15 -0.285456 -2.6163 0.00527 16 -0.366237 -3.3566 0.000593 17 -0.322804 -2.9586 0.002007 18 -0.283801 -2.6011 0.00549 19 -0.333901 -3.0603 0.001484 20 -0.399643 -3.6628 0.000218 21 -0.36319 -3.3287 0.000648 22 -0.167414 -1.5344 0.064347 23 0.133538 1.2239 0.112207 24 0.329036 3.0157 0.001696 25 0.182563 1.6732 0.049003 26 -0.075267 -0.6898 0.246099 27 -0.249618 -2.2878 0.012332 28 -0.277069 -2.5394 0.006474 29 -0.197754 -1.8124 0.036745 30 -0.125931 -1.1542 0.12585 31 -0.12997 -1.1912 0.118466 32 -0.154232 -1.4136 0.080593 33 -0.104924 -0.9616 0.169495 34 0.067745 0.6209 0.268175 35 0.316743 2.903 0.00236 36 0.479808 4.3975 1.6e-05 37 0.365561 3.3504 0.000605 38 0.15125 1.3862 0.084673 39 -0.005483 -0.0503 0.480021 40 -0.050579 -0.4636 0.322079 41 -0.013624 -0.1249 0.450465 42 0.016513 0.1513 0.440035 43 -0.01951 -0.1788 0.429259 44 -0.065253 -0.5981 0.275708 45 -0.048592 -0.4454 0.328604 46 0.067926 0.6226 0.267632 47 0.238996 2.1904 0.015632 48 0.345551 3.167 0.001074

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.737516 & 6.7594 & 0 \tabularnewline
2 & 0.312591 & 2.8649 & 0.002634 \tabularnewline
3 & 0.001162 & 0.0106 & 0.495766 \tabularnewline
4 & -0.10685 & -0.9793 & 0.165122 \tabularnewline
5 & -0.069176 & -0.634 & 0.263899 \tabularnewline
6 & -0.028663 & -0.2627 & 0.396712 \tabularnewline
7 & -0.104763 & -0.9602 & 0.169862 \tabularnewline
8 & -0.19911 & -1.8249 & 0.035787 \tabularnewline
9 & -0.181004 & -1.6589 & 0.05043 \tabularnewline
10 & 0.022005 & 0.2017 & 0.420329 \tabularnewline
11 & 0.344151 & 3.1542 & 0.001117 \tabularnewline
12 & 0.543332 & 4.9797 & 2e-06 \tabularnewline
13 & 0.319218 & 2.9257 & 0.00221 \tabularnewline
14 & -0.035945 & -0.3294 & 0.37132 \tabularnewline
15 & -0.285456 & -2.6163 & 0.00527 \tabularnewline
16 & -0.366237 & -3.3566 & 0.000593 \tabularnewline
17 & -0.322804 & -2.9586 & 0.002007 \tabularnewline
18 & -0.283801 & -2.6011 & 0.00549 \tabularnewline
19 & -0.333901 & -3.0603 & 0.001484 \tabularnewline
20 & -0.399643 & -3.6628 & 0.000218 \tabularnewline
21 & -0.36319 & -3.3287 & 0.000648 \tabularnewline
22 & -0.167414 & -1.5344 & 0.064347 \tabularnewline
23 & 0.133538 & 1.2239 & 0.112207 \tabularnewline
24 & 0.329036 & 3.0157 & 0.001696 \tabularnewline
25 & 0.182563 & 1.6732 & 0.049003 \tabularnewline
26 & -0.075267 & -0.6898 & 0.246099 \tabularnewline
27 & -0.249618 & -2.2878 & 0.012332 \tabularnewline
28 & -0.277069 & -2.5394 & 0.006474 \tabularnewline
29 & -0.197754 & -1.8124 & 0.036745 \tabularnewline
30 & -0.125931 & -1.1542 & 0.12585 \tabularnewline
31 & -0.12997 & -1.1912 & 0.118466 \tabularnewline
32 & -0.154232 & -1.4136 & 0.080593 \tabularnewline
33 & -0.104924 & -0.9616 & 0.169495 \tabularnewline
34 & 0.067745 & 0.6209 & 0.268175 \tabularnewline
35 & 0.316743 & 2.903 & 0.00236 \tabularnewline
36 & 0.479808 & 4.3975 & 1.6e-05 \tabularnewline
37 & 0.365561 & 3.3504 & 0.000605 \tabularnewline
38 & 0.15125 & 1.3862 & 0.084673 \tabularnewline
39 & -0.005483 & -0.0503 & 0.480021 \tabularnewline
40 & -0.050579 & -0.4636 & 0.322079 \tabularnewline
41 & -0.013624 & -0.1249 & 0.450465 \tabularnewline
42 & 0.016513 & 0.1513 & 0.440035 \tabularnewline
43 & -0.01951 & -0.1788 & 0.429259 \tabularnewline
44 & -0.065253 & -0.5981 & 0.275708 \tabularnewline
45 & -0.048592 & -0.4454 & 0.328604 \tabularnewline
46 & 0.067926 & 0.6226 & 0.267632 \tabularnewline
47 & 0.238996 & 2.1904 & 0.015632 \tabularnewline
48 & 0.345551 & 3.167 & 0.001074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232540&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]0.737516[/C][C]6.7594[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0.312591[/C][C]2.8649[/C][C]0.002634[/C][/ROW]
[ROW][C]3[/C][C]0.001162[/C][C]0.0106[/C][C]0.495766[/C][/ROW]
[ROW][C]4[/C][C]-0.10685[/C][C]-0.9793[/C][C]0.165122[/C][/ROW]
[ROW][C]5[/C][C]-0.069176[/C][C]-0.634[/C][C]0.263899[/C][/ROW]
[ROW][C]6[/C][C]-0.028663[/C][C]-0.2627[/C][C]0.396712[/C][/ROW]
[ROW][C]7[/C][C]-0.104763[/C][C]-0.9602[/C][C]0.169862[/C][/ROW]
[ROW][C]8[/C][C]-0.19911[/C][C]-1.8249[/C][C]0.035787[/C][/ROW]
[ROW][C]9[/C][C]-0.181004[/C][C]-1.6589[/C][C]0.05043[/C][/ROW]
[ROW][C]10[/C][C]0.022005[/C][C]0.2017[/C][C]0.420329[/C][/ROW]
[ROW][C]11[/C][C]0.344151[/C][C]3.1542[/C][C]0.001117[/C][/ROW]
[ROW][C]12[/C][C]0.543332[/C][C]4.9797[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]0.319218[/C][C]2.9257[/C][C]0.00221[/C][/ROW]
[ROW][C]14[/C][C]-0.035945[/C][C]-0.3294[/C][C]0.37132[/C][/ROW]
[ROW][C]15[/C][C]-0.285456[/C][C]-2.6163[/C][C]0.00527[/C][/ROW]
[ROW][C]16[/C][C]-0.366237[/C][C]-3.3566[/C][C]0.000593[/C][/ROW]
[ROW][C]17[/C][C]-0.322804[/C][C]-2.9586[/C][C]0.002007[/C][/ROW]
[ROW][C]18[/C][C]-0.283801[/C][C]-2.6011[/C][C]0.00549[/C][/ROW]
[ROW][C]19[/C][C]-0.333901[/C][C]-3.0603[/C][C]0.001484[/C][/ROW]
[ROW][C]20[/C][C]-0.399643[/C][C]-3.6628[/C][C]0.000218[/C][/ROW]
[ROW][C]21[/C][C]-0.36319[/C][C]-3.3287[/C][C]0.000648[/C][/ROW]
[ROW][C]22[/C][C]-0.167414[/C][C]-1.5344[/C][C]0.064347[/C][/ROW]
[ROW][C]23[/C][C]0.133538[/C][C]1.2239[/C][C]0.112207[/C][/ROW]
[ROW][C]24[/C][C]0.329036[/C][C]3.0157[/C][C]0.001696[/C][/ROW]
[ROW][C]25[/C][C]0.182563[/C][C]1.6732[/C][C]0.049003[/C][/ROW]
[ROW][C]26[/C][C]-0.075267[/C][C]-0.6898[/C][C]0.246099[/C][/ROW]
[ROW][C]27[/C][C]-0.249618[/C][C]-2.2878[/C][C]0.012332[/C][/ROW]
[ROW][C]28[/C][C]-0.277069[/C][C]-2.5394[/C][C]0.006474[/C][/ROW]
[ROW][C]29[/C][C]-0.197754[/C][C]-1.8124[/C][C]0.036745[/C][/ROW]
[ROW][C]30[/C][C]-0.125931[/C][C]-1.1542[/C][C]0.12585[/C][/ROW]
[ROW][C]31[/C][C]-0.12997[/C][C]-1.1912[/C][C]0.118466[/C][/ROW]
[ROW][C]32[/C][C]-0.154232[/C][C]-1.4136[/C][C]0.080593[/C][/ROW]
[ROW][C]33[/C][C]-0.104924[/C][C]-0.9616[/C][C]0.169495[/C][/ROW]
[ROW][C]34[/C][C]0.067745[/C][C]0.6209[/C][C]0.268175[/C][/ROW]
[ROW][C]35[/C][C]0.316743[/C][C]2.903[/C][C]0.00236[/C][/ROW]
[ROW][C]36[/C][C]0.479808[/C][C]4.3975[/C][C]1.6e-05[/C][/ROW]
[ROW][C]37[/C][C]0.365561[/C][C]3.3504[/C][C]0.000605[/C][/ROW]
[ROW][C]38[/C][C]0.15125[/C][C]1.3862[/C][C]0.084673[/C][/ROW]
[ROW][C]39[/C][C]-0.005483[/C][C]-0.0503[/C][C]0.480021[/C][/ROW]
[ROW][C]40[/C][C]-0.050579[/C][C]-0.4636[/C][C]0.322079[/C][/ROW]
[ROW][C]41[/C][C]-0.013624[/C][C]-0.1249[/C][C]0.450465[/C][/ROW]
[ROW][C]42[/C][C]0.016513[/C][C]0.1513[/C][C]0.440035[/C][/ROW]
[ROW][C]43[/C][C]-0.01951[/C][C]-0.1788[/C][C]0.429259[/C][/ROW]
[ROW][C]44[/C][C]-0.065253[/C][C]-0.5981[/C][C]0.275708[/C][/ROW]
[ROW][C]45[/C][C]-0.048592[/C][C]-0.4454[/C][C]0.328604[/C][/ROW]
[ROW][C]46[/C][C]0.067926[/C][C]0.6226[/C][C]0.267632[/C][/ROW]
[ROW][C]47[/C][C]0.238996[/C][C]2.1904[/C][C]0.015632[/C][/ROW]
[ROW][C]48[/C][C]0.345551[/C][C]3.167[/C][C]0.001074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232540&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232540&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 0.737516 6.7594 0 2 0.312591 2.8649 0.002634 3 0.001162 0.0106 0.495766 4 -0.10685 -0.9793 0.165122 5 -0.069176 -0.634 0.263899 6 -0.028663 -0.2627 0.396712 7 -0.104763 -0.9602 0.169862 8 -0.19911 -1.8249 0.035787 9 -0.181004 -1.6589 0.05043 10 0.022005 0.2017 0.420329 11 0.344151 3.1542 0.001117 12 0.543332 4.9797 2e-06 13 0.319218 2.9257 0.00221 14 -0.035945 -0.3294 0.37132 15 -0.285456 -2.6163 0.00527 16 -0.366237 -3.3566 0.000593 17 -0.322804 -2.9586 0.002007 18 -0.283801 -2.6011 0.00549 19 -0.333901 -3.0603 0.001484 20 -0.399643 -3.6628 0.000218 21 -0.36319 -3.3287 0.000648 22 -0.167414 -1.5344 0.064347 23 0.133538 1.2239 0.112207 24 0.329036 3.0157 0.001696 25 0.182563 1.6732 0.049003 26 -0.075267 -0.6898 0.246099 27 -0.249618 -2.2878 0.012332 28 -0.277069 -2.5394 0.006474 29 -0.197754 -1.8124 0.036745 30 -0.125931 -1.1542 0.12585 31 -0.12997 -1.1912 0.118466 32 -0.154232 -1.4136 0.080593 33 -0.104924 -0.9616 0.169495 34 0.067745 0.6209 0.268175 35 0.316743 2.903 0.00236 36 0.479808 4.3975 1.6e-05 37 0.365561 3.3504 0.000605 38 0.15125 1.3862 0.084673 39 -0.005483 -0.0503 0.480021 40 -0.050579 -0.4636 0.322079 41 -0.013624 -0.1249 0.450465 42 0.016513 0.1513 0.440035 43 -0.01951 -0.1788 0.429259 44 -0.065253 -0.5981 0.275708 45 -0.048592 -0.4454 0.328604 46 0.067926 0.6226 0.267632 47 0.238996 2.1904 0.015632 48 0.345551 3.167 0.001074

 Partial Autocorrelation Function Time lag k PACF(k) T-STAT P-value 1 0.737516 6.7594 0 2 -0.507244 -4.649 6e-06 3 0.082017 0.7517 0.227167 4 0.054632 0.5007 0.308942 5 0.023814 0.2183 0.413878 6 -0.107117 -0.9817 0.164524 7 -0.22253 -2.0395 0.022271 8 0.065106 0.5967 0.276153 9 0.111524 1.0221 0.154825 10 0.272268 2.4954 0.00727 11 0.300322 2.7525 0.003623 12 -0.006397 -0.0586 0.476694 13 -0.680845 -6.24 0 14 0.25926 2.3762 0.009884 15 -0.075837 -0.6951 0.244469 16 -0.229697 -2.1052 0.01913 17 -0.131939 -1.2092 0.114982 18 -0.116638 -1.069 0.144066 19 0.096769 0.8869 0.188833 20 -0.125239 -1.1478 0.127147 21 0.00188 0.0172 0.493147 22 -0.08127 -0.7448 0.229221 23 -0.028532 -0.2615 0.397172 24 -0.01174 -0.1076 0.457285 25 -0.011041 -0.1012 0.459818 26 -0.063592 -0.5828 0.280784 27 -0.125389 -1.1492 0.126865 28 0.130773 1.1986 0.117036 29 -0.036109 -0.3309 0.370755 30 0.032449 0.2974 0.383448 31 -0.027026 -0.2477 0.402486 32 0.06696 0.6137 0.270536 33 0.001373 0.0126 0.494997 34 -0.020448 -0.1874 0.425897 35 -0.005351 -0.049 0.4805 36 0.058713 0.5381 0.295962 37 0.007561 0.0693 0.472459 38 -0.040528 -0.3714 0.355621 39 0.044057 0.4038 0.343697 40 -0.101602 -0.9312 0.177209 41 0.016863 0.1546 0.438773 42 -0.008643 -0.0792 0.468524 43 -0.1042 -0.955 0.171156 44 0.045519 0.4172 0.338804 45 -0.062942 -0.5769 0.282785 46 0.019956 0.1829 0.427658 47 -0.093488 -0.8568 0.196987 48 0.020671 0.1895 0.425097

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.737516 & 6.7594 & 0 \tabularnewline
2 & -0.507244 & -4.649 & 6e-06 \tabularnewline
3 & 0.082017 & 0.7517 & 0.227167 \tabularnewline
4 & 0.054632 & 0.5007 & 0.308942 \tabularnewline
5 & 0.023814 & 0.2183 & 0.413878 \tabularnewline
6 & -0.107117 & -0.9817 & 0.164524 \tabularnewline
7 & -0.22253 & -2.0395 & 0.022271 \tabularnewline
8 & 0.065106 & 0.5967 & 0.276153 \tabularnewline
9 & 0.111524 & 1.0221 & 0.154825 \tabularnewline
10 & 0.272268 & 2.4954 & 0.00727 \tabularnewline
11 & 0.300322 & 2.7525 & 0.003623 \tabularnewline
12 & -0.006397 & -0.0586 & 0.476694 \tabularnewline
13 & -0.680845 & -6.24 & 0 \tabularnewline
14 & 0.25926 & 2.3762 & 0.009884 \tabularnewline
15 & -0.075837 & -0.6951 & 0.244469 \tabularnewline
16 & -0.229697 & -2.1052 & 0.01913 \tabularnewline
17 & -0.131939 & -1.2092 & 0.114982 \tabularnewline
18 & -0.116638 & -1.069 & 0.144066 \tabularnewline
19 & 0.096769 & 0.8869 & 0.188833 \tabularnewline
20 & -0.125239 & -1.1478 & 0.127147 \tabularnewline
21 & 0.00188 & 0.0172 & 0.493147 \tabularnewline
22 & -0.08127 & -0.7448 & 0.229221 \tabularnewline
23 & -0.028532 & -0.2615 & 0.397172 \tabularnewline
24 & -0.01174 & -0.1076 & 0.457285 \tabularnewline
25 & -0.011041 & -0.1012 & 0.459818 \tabularnewline
26 & -0.063592 & -0.5828 & 0.280784 \tabularnewline
27 & -0.125389 & -1.1492 & 0.126865 \tabularnewline
28 & 0.130773 & 1.1986 & 0.117036 \tabularnewline
29 & -0.036109 & -0.3309 & 0.370755 \tabularnewline
30 & 0.032449 & 0.2974 & 0.383448 \tabularnewline
31 & -0.027026 & -0.2477 & 0.402486 \tabularnewline
32 & 0.06696 & 0.6137 & 0.270536 \tabularnewline
33 & 0.001373 & 0.0126 & 0.494997 \tabularnewline
34 & -0.020448 & -0.1874 & 0.425897 \tabularnewline
35 & -0.005351 & -0.049 & 0.4805 \tabularnewline
36 & 0.058713 & 0.5381 & 0.295962 \tabularnewline
37 & 0.007561 & 0.0693 & 0.472459 \tabularnewline
38 & -0.040528 & -0.3714 & 0.355621 \tabularnewline
39 & 0.044057 & 0.4038 & 0.343697 \tabularnewline
40 & -0.101602 & -0.9312 & 0.177209 \tabularnewline
41 & 0.016863 & 0.1546 & 0.438773 \tabularnewline
42 & -0.008643 & -0.0792 & 0.468524 \tabularnewline
43 & -0.1042 & -0.955 & 0.171156 \tabularnewline
44 & 0.045519 & 0.4172 & 0.338804 \tabularnewline
45 & -0.062942 & -0.5769 & 0.282785 \tabularnewline
46 & 0.019956 & 0.1829 & 0.427658 \tabularnewline
47 & -0.093488 & -0.8568 & 0.196987 \tabularnewline
48 & 0.020671 & 0.1895 & 0.425097 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232540&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]0.737516[/C][C]6.7594[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-0.507244[/C][C]-4.649[/C][C]6e-06[/C][/ROW]
[ROW][C]3[/C][C]0.082017[/C][C]0.7517[/C][C]0.227167[/C][/ROW]
[ROW][C]4[/C][C]0.054632[/C][C]0.5007[/C][C]0.308942[/C][/ROW]
[ROW][C]5[/C][C]0.023814[/C][C]0.2183[/C][C]0.413878[/C][/ROW]
[ROW][C]6[/C][C]-0.107117[/C][C]-0.9817[/C][C]0.164524[/C][/ROW]
[ROW][C]7[/C][C]-0.22253[/C][C]-2.0395[/C][C]0.022271[/C][/ROW]
[ROW][C]8[/C][C]0.065106[/C][C]0.5967[/C][C]0.276153[/C][/ROW]
[ROW][C]9[/C][C]0.111524[/C][C]1.0221[/C][C]0.154825[/C][/ROW]
[ROW][C]10[/C][C]0.272268[/C][C]2.4954[/C][C]0.00727[/C][/ROW]
[ROW][C]11[/C][C]0.300322[/C][C]2.7525[/C][C]0.003623[/C][/ROW]
[ROW][C]12[/C][C]-0.006397[/C][C]-0.0586[/C][C]0.476694[/C][/ROW]
[ROW][C]13[/C][C]-0.680845[/C][C]-6.24[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0.25926[/C][C]2.3762[/C][C]0.009884[/C][/ROW]
[ROW][C]15[/C][C]-0.075837[/C][C]-0.6951[/C][C]0.244469[/C][/ROW]
[ROW][C]16[/C][C]-0.229697[/C][C]-2.1052[/C][C]0.01913[/C][/ROW]
[ROW][C]17[/C][C]-0.131939[/C][C]-1.2092[/C][C]0.114982[/C][/ROW]
[ROW][C]18[/C][C]-0.116638[/C][C]-1.069[/C][C]0.144066[/C][/ROW]
[ROW][C]19[/C][C]0.096769[/C][C]0.8869[/C][C]0.188833[/C][/ROW]
[ROW][C]20[/C][C]-0.125239[/C][C]-1.1478[/C][C]0.127147[/C][/ROW]
[ROW][C]21[/C][C]0.00188[/C][C]0.0172[/C][C]0.493147[/C][/ROW]
[ROW][C]22[/C][C]-0.08127[/C][C]-0.7448[/C][C]0.229221[/C][/ROW]
[ROW][C]23[/C][C]-0.028532[/C][C]-0.2615[/C][C]0.397172[/C][/ROW]
[ROW][C]24[/C][C]-0.01174[/C][C]-0.1076[/C][C]0.457285[/C][/ROW]
[ROW][C]25[/C][C]-0.011041[/C][C]-0.1012[/C][C]0.459818[/C][/ROW]
[ROW][C]26[/C][C]-0.063592[/C][C]-0.5828[/C][C]0.280784[/C][/ROW]
[ROW][C]27[/C][C]-0.125389[/C][C]-1.1492[/C][C]0.126865[/C][/ROW]
[ROW][C]28[/C][C]0.130773[/C][C]1.1986[/C][C]0.117036[/C][/ROW]
[ROW][C]29[/C][C]-0.036109[/C][C]-0.3309[/C][C]0.370755[/C][/ROW]
[ROW][C]30[/C][C]0.032449[/C][C]0.2974[/C][C]0.383448[/C][/ROW]
[ROW][C]31[/C][C]-0.027026[/C][C]-0.2477[/C][C]0.402486[/C][/ROW]
[ROW][C]32[/C][C]0.06696[/C][C]0.6137[/C][C]0.270536[/C][/ROW]
[ROW][C]33[/C][C]0.001373[/C][C]0.0126[/C][C]0.494997[/C][/ROW]
[ROW][C]34[/C][C]-0.020448[/C][C]-0.1874[/C][C]0.425897[/C][/ROW]
[ROW][C]35[/C][C]-0.005351[/C][C]-0.049[/C][C]0.4805[/C][/ROW]
[ROW][C]36[/C][C]0.058713[/C][C]0.5381[/C][C]0.295962[/C][/ROW]
[ROW][C]37[/C][C]0.007561[/C][C]0.0693[/C][C]0.472459[/C][/ROW]
[ROW][C]38[/C][C]-0.040528[/C][C]-0.3714[/C][C]0.355621[/C][/ROW]
[ROW][C]39[/C][C]0.044057[/C][C]0.4038[/C][C]0.343697[/C][/ROW]
[ROW][C]40[/C][C]-0.101602[/C][C]-0.9312[/C][C]0.177209[/C][/ROW]
[ROW][C]41[/C][C]0.016863[/C][C]0.1546[/C][C]0.438773[/C][/ROW]
[ROW][C]42[/C][C]-0.008643[/C][C]-0.0792[/C][C]0.468524[/C][/ROW]
[ROW][C]43[/C][C]-0.1042[/C][C]-0.955[/C][C]0.171156[/C][/ROW]
[ROW][C]44[/C][C]0.045519[/C][C]0.4172[/C][C]0.338804[/C][/ROW]
[ROW][C]45[/C][C]-0.062942[/C][C]-0.5769[/C][C]0.282785[/C][/ROW]
[ROW][C]46[/C][C]0.019956[/C][C]0.1829[/C][C]0.427658[/C][/ROW]
[ROW][C]47[/C][C]-0.093488[/C][C]-0.8568[/C][C]0.196987[/C][/ROW]
[ROW][C]48[/C][C]0.020671[/C][C]0.1895[/C][C]0.425097[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232540&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232540&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 0.737516 6.7594 0 2 -0.507244 -4.649 6e-06 3 0.082017 0.7517 0.227167 4 0.054632 0.5007 0.308942 5 0.023814 0.2183 0.413878 6 -0.107117 -0.9817 0.164524 7 -0.22253 -2.0395 0.022271 8 0.065106 0.5967 0.276153 9 0.111524 1.0221 0.154825 10 0.272268 2.4954 0.00727 11 0.300322 2.7525 0.003623 12 -0.006397 -0.0586 0.476694 13 -0.680845 -6.24 0 14 0.25926 2.3762 0.009884 15 -0.075837 -0.6951 0.244469 16 -0.229697 -2.1052 0.01913 17 -0.131939 -1.2092 0.114982 18 -0.116638 -1.069 0.144066 19 0.096769 0.8869 0.188833 20 -0.125239 -1.1478 0.127147 21 0.00188 0.0172 0.493147 22 -0.08127 -0.7448 0.229221 23 -0.028532 -0.2615 0.397172 24 -0.01174 -0.1076 0.457285 25 -0.011041 -0.1012 0.459818 26 -0.063592 -0.5828 0.280784 27 -0.125389 -1.1492 0.126865 28 0.130773 1.1986 0.117036 29 -0.036109 -0.3309 0.370755 30 0.032449 0.2974 0.383448 31 -0.027026 -0.2477 0.402486 32 0.06696 0.6137 0.270536 33 0.001373 0.0126 0.494997 34 -0.020448 -0.1874 0.425897 35 -0.005351 -0.049 0.4805 36 0.058713 0.5381 0.295962 37 0.007561 0.0693 0.472459 38 -0.040528 -0.3714 0.355621 39 0.044057 0.4038 0.343697 40 -0.101602 -0.9312 0.177209 41 0.016863 0.1546 0.438773 42 -0.008643 -0.0792 0.468524 43 -0.1042 -0.955 0.171156 44 0.045519 0.4172 0.338804 45 -0.062942 -0.5769 0.282785 46 0.019956 0.1829 0.427658 47 -0.093488 -0.8568 0.196987 48 0.020671 0.1895 0.425097

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)
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.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
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)