eqexp: Earthquake and Explosion Seismic Series
In astsa: Applied Statistical Time Series Analysis
eqexp R Documentation
Earthquake and Explosion Seismic Series
Description
This is a data frame of the earthquake and explosion seismic series used throughout the text.
Format
A data frame with 2048 observations (rows) on 17 variables (columns). Each column is a numeric vector.
Details
The matrix has 17 columns, the first eight are earthquakes, the second eight are explosions, and the last column is the Novaya Zemlya event of unknown origin.
The column names are: EQ1, EQ2,...,EQ8; EX1, EX2,...,EX8; NZ. The first 1024 observations correspond to the P wave, the second 1024 observations correspond to the S wave.
References
You can find demonstrations of astsa capabilities at
FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at
https://nickpoison.github.io/.
astsa documentation built on Jan. 10, 2023, 1:11 a.m.
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| eqexp | R Documentation |
Earthquake and Explosion Seismic Series
Description
This is a data frame of the earthquake and explosion seismic series used throughout the text.
Format
A data frame with 2048 observations (rows) on 17 variables (columns). Each column is a numeric vector.
Details
The matrix has 17 columns, the first eight are earthquakes, the second eight are explosions, and the last column is the Novaya Zemlya event of unknown origin.
The column names are: EQ1, EQ2,...,EQ8; EX1, EX2,...,EX8; NZ. The first 1024 observations correspond to the P wave, the second 1024 observations correspond to the S wave.
References
You can find demonstrations of astsa capabilities at FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at https://nickpoison.github.io/.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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