fit_float: Central fitting function with float environment

In LCF: Linear Combination Fitting

Description

This function allows to process all samples, especially written for the float environment.

Usage

fit_float(all.samples, all.standards, LC.vals, float, ex.smaller = NULL,
  file.output = NULL, best.fits = NULL)

Arguments

all.samples	List of all samples
all.standards	List of all standards
LC.vals	The fitting range values for the linear combination fitting
float	Let vary the energy range paramerters
ex.smaller	Exclude portions smaller than a given value (decimal form), default to NULL
file.output	Possibility to have a file output, default to NULL
best.fits	Possibility to output more than the best fit (e.g. the first 10 best fits), default to 1

Examples

data(stdmix)
corr.spec.standards  <- initial_load(specdat[1:4], 
  corr.norm = c(-36, -15, 37, 58))
corr.spec.samples    <- initial_load(specdat[5:8], 
  corr.norm = c(-36, -15, 37, 58))
## Select parameters for baseline correction and edge-step normalization
param.float <- expand.grid(pre.adj.1 = seq(-42,-30,6), 
  pre.adj.2 = seq(-19,-9,5), post.adj.1 = seq(35,40,5), 
  post.adj.2 = seq(50,65,5))
length(param.float[,1])
float.fit <- fit_float(all.samples = corr.spec.samples,
  all.standards = corr.spec.standards, 
  LC.vals = c(-14, 46), float = param.float, best.fits = 20)
print(float.fit)

###### Using next configuration can be very time consuming 

param.float.2 <- expand.grid(pre.adj.1 = seq(-43,-30,1), 
  pre.adj.2 = seq(-19,-9,.5), post.adj.1 = seq(34,40,.5), 
  post.adj.2 = seq(50,65,1))

LCF documentation built on May 2, 2019, 6:08 a.m.