fit_curve {PrInCE} | R Documentation

## Output the fit curve for a given mixture of Gaussians

### Description

For a Gaussian mixture model fit to a curve by `fit_gaussians`, output the fit curve using the coefficients rather than the `nls` object. This allows individual Gaussians to be removed from the fit model: for example, if their height is below a certain threshold, or their centres are outside the bounds of the chromatogram.

### Usage

    fit_curve(coef, indices)

### Arguments

`coef` | numeric vector of coefficients for a Gaussian mixture model fit by `fit_gaussians`. This function assumes that the heights of the Gaussians are specified by coefficients beginning with "A" ("A1", "A2", "A3", etc.), centres are specified by coefficients beginning with "mu", and standard deviations are specified by coefficients beginning with "sigma".
`indices` | the indices, or x-values, to predict a fitted curve for (for example, the fractions in a given chromatogram)

### Value

the fitted curve

### Examples

    data(scott)
    chrom <- clean_profile(scott[1, ])
    fit <- fit_gaussians(chrom, n_gaussians = 1)
    curve <- fit_curve(fit$coefs, seq_along(chrom))

[Package PrInCE version 1.0.1 Index]