plotCdf: plotCDF Function to create CDFs of chla, ts, and cyano

In USEPA/LakeTrophicModelling: Package to reproduce Hollister et al. (2015) Modeling Lake Trophic State: A Randrom Forest Approach.

Description

This functions produces CDF plots from the hkm2014Data. The implementation may be used more widely though to create cumulative distribution functions for multiple categories

Usage

plotCdf(catVar, contVar, cdf_colors = 1:length(catVar), ...)

Arguments

catVar	the categorical Variable such as-'bvCat', 'TS_CHLA_2', 'TS_CHLA_3', 'TS_CHLA_4'. Of same length as contVar
contVar	the continuous Variable such as-'sumBioV','CHLA', 'NTL', 'PTL', etc. Of same length as contVar
cdf_colors	colors for CDF plots and median line -should equal # of categories in catVar + 1
...	pass additional parameters to labs (e.g. set titles, axis labels, etc.)

Examples

devtools::install_github('wesanderson','karthik')
library(wesanderson)
data(LakeTrophicModelling)
plotCdf(ltmData$bvCat,ltmData$CHLA,cdf_colors=wes.palette(3,'Royal1'),y='Percent',
        x=expression(paste('Log10(Chl ', italic("a"),')')),title='CDF for category bvCat',
        color="Biovolume\nCategories")
plotCdf(ltmData$TS_CHLA_3,ltmData$sumBioV+1,cdf_colors=wes.palette(3,'FantasticFox'),
        y='Percent',x='Log10(Cyanobacterial Biovolume)',
        title=expression(paste('CDF for Chlorophyll ', italic("a"),' Trophic States (3 Categories)')),
        color="Trophic State\nCategories")

USEPA/LakeTrophicModelling documentation built on Oct. 15, 2020, 4:13 p.m.