Showfry: Show Fry Diagrams In geophys: Geophysics, Continuum Mechanics, Mogi Models, Gravity

Description

Show Fry Diagrams with random data

Usage

 `1` ```Showfry(RDAT, shear = matrix(c(1, 1.2, 0, 1)), rad = 75) ```

Arguments

 `RDAT` data list `shear` 2D shearing matrix `rad` radius of points from the center from which to select the points for analysis.

Details

The original data is deformed and a circular subset is extracted for analysis. This is to show that the shape of the data does not affect the assessment of the fry ellipse. Plots input data and fry diagram, side by side.

Value

graphical side effects

Author(s)

Jonathan M. Lees<[email protected]>

References

Fry, N., (1979) Random point distributions and strain measurement in rocks Tectonophysics, 60:89-105.

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23``` ```RDAT = randFRY(400, LIM=c(0,0, 200, 200) , rlen=5 ) length(RDAT\$x) plot(RDAT\$x, RDAT\$y, asp=1, pch=".", cex=2) u = par( no.readonly = TRUE) par(mfrow=c(3,2)) shr = 0.0 simpleshear = matrix(c(1, shr, 0, 1), ncol=2) Showfry(RDAT, simpleshear, 75) shr = 1.2 simpleshear = matrix(c(1, shr, 0, 1), ncol=2) Showfry(RDAT, simpleshear, 75) epsilon1 = 0.4 H = matrix(c(1+epsilon1, 0, 0, 1/(1+epsilon1) ), ncol=2) Showfry(RDAT, H, 75) par(u) ```