create.EM {EMMAgeo} | R Documentation |
Create grain-size-distributions.
Description
This function allows creating artificial grain-size end-members. One such "artificial end-member loading" may be composed of one or more superimposed normal distributions.
Usage
create.EM(p1, p2, s, boundaries, n)
Arguments
p1 |
|
p2 |
|
s |
|
boundaries |
|
n |
|
Details
When building a data set of many artificial end member loadings, these
should all have the same boundaries
and n
. The function
builds composites of individual normal distributions. Each distribution is
scaled according to s
. Finally the distribution is scaled to 100 %.
Value
Numeric
vector with normalised end-member loadings,
consisting of the mixed normal distributions according to the input
parameters.
Author(s)
Michael Dietze, Elisabeth Dietze
See Also
Examples
## set lower and upper class boundary, number of classes and class units
boundaries <- c(0, 11)
n <- 40
phi <- seq(from = boundaries[1],
to = boundaries[2],
length.out = n)
## create two artificial end-member loadings
EMa.1 <- create.EM(p1 = c(2, 5), p2 = c(1, 0.8), s = c(0.7, 0.3),
boundaries = boundaries, n = n)
EMa.2 <- create.EM(p1 = c(4, 7), p2 = c(1.1, 1.4), s = c(0.5, 0.5),
boundaries = boundaries, n = n)
## plot the two artificial end-member loadings
plot(phi, EMa.1, type = "l")
lines(phi, EMa.2, col = "red")