dSZ: Shultz-Zimm distribution
In kjuraic/rsaxs: GISAXS experimental data analysis in R
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Calculate Shultz Size distribution density
For particle size distribution is better to use Shultz-Zihm distribution
then normal size distribution because its possible to avoid negative density values
SOURCE: M. khaneft, phd thesis: polymers in aligned carbon nanotube arrays (2013)
Usage
1
dSZ(r, Rmean, Rsd)
Arguments
r
x value for which calculation is done
Rmean
distribution paramaterer (average)
Rsd
distribution parameter (standard deviation)
Value
distribution density for given x
Author(s)
K. Juraic
Examples
1
dSZ(2.0, 1.0, 0.3)
kjuraic/rsaxs documentation built on May 20, 2019, 10:26 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Calculate Shultz Size distribution density For particle size distribution is better to use Shultz-Zihm distribution then normal size distribution because its possible to avoid negative density values SOURCE: M. khaneft, phd thesis: polymers in aligned carbon nanotube arrays (2013)
Usage
1 | dSZ(r, Rmean, Rsd)
|
Arguments
r |
x value for which calculation is done |
Rmean |
distribution paramaterer (average) |
Rsd |
distribution parameter (standard deviation) |
Value
distribution density for given x
Author(s)
K. Juraic
Examples
1 | dSZ(2.0, 1.0, 0.3)
|
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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