pop.cdf2 | R Documentation |
Use plotrix::weighted.hist to see overlay of two weighted histograms.
pop.cdf2(e, dcount, refcount, etxt, dtxt, brks = 10, ...)
e |
Environmental or other indicator values vector |
dcount |
Vector of weights for the demographic group of interest, such as population counts of Hispanics by Census tract. |
refcount |
Vector of weights for the reference group, such as population counts of individuals who are not Hispanic, by Census tract. |
etxt |
Character string to name e in graph |
dtxt |
Character string to name d in graph |
brks |
Default is 10. Passed as breaks param to plot function |
... |
passed to plotrix::weighted.hist() |
Does not handle NA values well yet. Assumes you have weights for each and are comparing values in one group vs another.
Creates a plot
pop.cdf()
pop.cdf2()
pop.ecdf()
pop.cdf.density()
## Not run:
# can get a dataset for examples
load("~/../../Dropbox/EJSCREEN/R analysis/bg 2015-04-22 Rnames plus subgroups.RData")
# # to do this manually
# require(plotrix)
#weighted.hist(bg$proximity.rmp, bg$pop*bg$pctmin,
# main='pop hist for pctmin of RMP score', xlim=c(0,1.8),freq=FALSE,breaks=c(0:18)/10,col='red')
#weighted.hist(bg$proximity.rmp,bg$pop*(1-bg$pctmin),
# main='pop hist for pctmin of RMP score', xlim=c(0,1.8),freq=FALSE,breaks=c(0:18)/10,add=TRUE)
bg <- ejscreen::bg22[, c(ejscreen::names.d, 'pop', ejscreen::names.e, 'REGION')]
e <- bg$pm[!is.na(bg$pm)]
dpct <- bg$pctmin
dcount <- bg$pop[!is.na(bg$pm)] * dpct[!is.na(bg$pm)]
refcount <- bg$pop[!is.na(bg$pm)] * (1 - dpct[!is.na(bg$pm)])
brks <- 0:17
etxt <- 'PM2.5'
dtxt <- 'Minorities'
pop.cdf( e, pcts = dpct, pops = bg$pop)
pop.cdf2( e, dcount, refcount, etxt, dtxt, brks)
pop.cdf.density(e, dcount, refcount, etxt, dtxt )
pop.cdf(scores = e, pcts = bg$pctmin, pops = bg$pop,
main='PM2.5 distribution within each group (minority vs other)',
ylab='Density (percentage of group population)')
## End(Not run)
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