sim_gsd: Simulate a log-normal grain size distribution
In bceaton/stochasim: An implementation of the STOCHASIM stream channel model
Description
sim_gsd generates a log-normal grain size distribution for a
user-specified D50. The user can also vary the spread of the distribution.
The function returns a data frame containing the upper range of the size
classes, the mid point of each size class, the proportion in each size class,
and the cumulative proportion finer than the upper size class boundaries.
Usage
1
Arguments
D50
median bed surface grain size (mm)
sp
(optional) spread of the distribution (default = 1)
Map
(optional) LOGICAL, when TRUE, the distribution is graphed
bceaton/stochasim documentation built on May 11, 2019, 10:25 p.m.
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.
Description
sim_gsd generates a log-normal grain size distribution for a
user-specified D50. The user can also vary the spread of the distribution.
The function returns a data frame containing the upper range of the size
classes, the mid point of each size class, the proportion in each size class,
and the cumulative proportion finer than the upper size class boundaries.
Usage
1 |
Arguments
D50 |
median bed surface grain size (mm) |
sp |
(optional) spread of the distribution (default = 1) |
Map |
(optional) LOGICAL, when TRUE, the distribution is graphed |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.