plot_LCF function

Plot sample data, linear combination fit and residual spectrum

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

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))