SIMapca: Absolute Principal Component Analysis (APCA)

In kralljr/handles: HANdles Detection Limits when Estimating Sources

Description

simAPCA applies APCA and extracts summary information for simulation study

Usage

SIMapca(data, tots = NULL, nsources = NULL, adjust = NULL, mdl = NULL,
  cut = 1, type = "apca", mons = NULL, i = NA, print = F, k = 10,
  complete = F, ...)

Arguments

data	data frame of daily constituent concentrations with date as first column
tots	vector of total concentrations (total PM2.5) for each day. If null, uses rowSums(data)
nsources	number of sources. If null, uses number of eigenvalues of the correlation matrix greater than one.
adjust	method to adjust censored concentrations below minimum detection limits (MDLs). If null, uses complete case data
mdl	either a vector of mdls corresponding to each constituent or a matrix of mdls corresponding to each constituent and each day.
cut	cutoff for eigenvalues. Only used if nsources is NULL
type	Source apportionment method (apca or mapca)
mons	vector of monitors corresponding to data
i	monitor number (for printing)
print	whether to print monitors without temporal variability

kralljr/handles documentation built on Dec. 6, 2019, 3:39 p.m.