peakwidth_est {Autotuner} | R Documentation

## peakwidth_est

### Description

This function is designed to generate peak width estimates for each TIC peak detected by sliding window analysis.

### Usage

    peakwidth_est(
      peak_vector,
      time,
      intensity,
      start = NULL,
      end = NULL,
      old_r2 = NULL
    )

### Arguments

`peak_vector` | A numeric vector with names of specific time points of the chromatography data measured. The numeric values correspond to indiciess within the total chromatographic data that span the peak width.
`time` | This vector contains the time measurements during the chromatography. This vector is used to match the values in peak_vector to the names in the intensity vector.
`intensity` | A measured intensity values for chromatorgraphy
`start` | A numeric index indicating where peak starts. Leave null.
`end` | The same as above, leave null.
`old_r2` | A previous fit of model used to judge recursion of fit.

### Details

This function takes in one peak vector at a time and runs a linear model on the selected start and end points of a peak. By measuring the change of the fit of the model, the function returns an index of values corresponding to a peak. This function works recursively to estimate the width of the peak. Ultimately, it returns the names of the final points in the peak.

### Value

This function returns a scalar value representing the estimated peak width for a given peak.

[Package Autotuner version 1.4.0 Index]