Simple weighted cdf

Source: R/weightcdf2.r

Uses wtd.quantile() from Hmisc.

weightcdf(df1 = my.samp, ss = ss, SampID = "Sample.ID",
  xvar = "cond", nt = 25, log = TRUE, np = 61)

Arguments

df1

; default = my.samp
ss

Species crosstabed data; default = "ss" from global environment.
SampID

Site/sample id column; default = "Sample.ID"
xvar

variable on which to base calculations; default = "cond"
nt

Minimum number of occurence; default = 25.
log

A boolean for if the values should be log (base 10) transformed; default = TRUE
np

Number of bins; default = 61.

Value

data frame: taxaname, XC95.all, N

Examples

### Step 1A. use samples to calcualte HC05
### basic models for season, and ecoregion
allyear <- weightcdf(df1 = bio.sample[!is.na(bio.sample$lgSO4HCO3),], ss = ss, SampID = "Sample.ID", xvar = "lgSO4HCO3", nt = 25)