plot_LCF: Plot sample data, linear combination fit and residual...

In LCF: Linear Combination Fitting

Description

This function allows plotting (png or tiff image files) of the corrected sample spectrum, the linear combination fit and the residual.

Usage

plot_LCF(all.samples, all.standards, LCF.res, LC.vals, corr.norm,
  float = NULL, exclude = NULL, use.tiff = NULL, E.zero = NULL,
  set.plot.ymax = NULL, file.output = NULL)

Arguments

all.samples	List of all samples
all.standards	List of all standards
LCF.res	Results from function fit_float()
LC.vals	The fitting range values for the linear combination fitting
corr.norm	Vector of the base-line correction and edge-step normalization values (vector of length 4)
float	Logical, default to FALSE
exclude	Logical, default to FALSE
use.tiff	Logical, default to FALSE
E.zero	Set E0, defaults to NULL
set.plot.ymax	Set maximum of plot y axis, defaults to NULL
file.output	Logical, default to FALSE

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))
param.float <- expand.grid(pre.adj.1 = seq(-45,-30,5), 
  pre.adj.2 = seq(-19,-9,5), post.adj.1 = seq(34,40,2), 
  post.adj.2 = seq(50,65,5))
float.fit <- fit_float(all.samples = corr.spec.samples[1], 
  all.standards = corr.spec.standards, LC.vals = c(-14, 46), 
  float = param.float, ex.smaller = 0.05)
par(pty="s")
plot_LCF(all.samples = corr.spec.samples[1], 
  all.standards = corr.spec.standards, 
  LCF.res = float.fit[1,], LC.vals = c(-14,46), 
  corr.norm = c(-36, -15, 37, 58))

Example output

Overall progress:

Fitting sample: Mi01, with 192 combinations, starting: 2019-11-25 20:58:47
Sample finished: 2019-11-25 20:58:48

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