ezec: The 'ezec' package for easy EC calculation.
In ezec: Easy Interface to Effective Concentration Calculations
ezec R Documentation
The ezec package for easy EC calculation.
Description
Because fungicide resistance is an important phenotypic trait for fungi and oomycetes, it is necessary to have a standardized method of statistically analyzing the Effective Concentration (EC) values. This package is designed for those who are not terribly familiar with R to be able to analyze and plot an entire set of isolates using the 'drc' package.
Introduction
The package ezec is not a revolutionary work. It
simply is a wrapper for the drc package that makes life a little
easier when it comes to calculating a simple EC 50. The main function of
the package is EC_table. This function will do as it says and
automatically produce a table to EC values for each isolate in your sample.
Data format
Data is expected to exist in a table with at least
three columns:
Sample ID
Dosage
Response value
(Growth)
Any other columns in your data are optional. An example data set
is dummydata.
Author(s)
Maintainer: Zhian N. Kamvar zkamvar@gmail.com
Other contributors:
Niklaus J. Grunwald grunwaln@science.oregonstate.edu [thesis advisor, contributor]
See Also
Useful links:
ezec documentation built on March 10, 2026, 1:07 a.m.
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| ezec | R Documentation |
The ezec package for easy EC calculation.
Description
Because fungicide resistance is an important phenotypic trait for fungi and oomycetes, it is necessary to have a standardized method of statistically analyzing the Effective Concentration (EC) values. This package is designed for those who are not terribly familiar with R to be able to analyze and plot an entire set of isolates using the 'drc' package.
Introduction
The package ezec is not a revolutionary work. It
simply is a wrapper for the drc package that makes life a little
easier when it comes to calculating a simple EC 50. The main function of
the package is EC_table. This function will do as it says and
automatically produce a table to EC values for each isolate in your sample.
Data format
Data is expected to exist in a table with at least three columns:
Sample ID
Dosage
Response value (Growth)
Any other columns in your data are optional. An example data set
is dummydata.
Author(s)
Maintainer: Zhian N. Kamvar zkamvar@gmail.com
Other contributors:
Niklaus J. Grunwald grunwaln@science.oregonstate.edu [thesis advisor, contributor]
See Also
Useful links:
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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