clean_profile {PrInCE}R Documentation

Preprocess a co-elution profile

Description

Clean a co-elution/co-fractionation profile by (1) imputing single missing values with the average of neighboring values, (2) replacing missing values with random, near-zero noise, and (3) smoothing with a moving average filter.

Usage

clean_profile(
  chromatogram,
  impute_NA = TRUE,
  smooth = TRUE,
  smooth_width = 4,
  noise_floor = 0.001
)

Arguments

chromatogram

a numeric vector corresponding to the chromatogram trace

impute_NA

if true, impute single missing values with the average of neighboring values

smooth

if true, smooth the chromatogram with a moving average filter

smooth_width

width of the moving average filter, in fractions

noise_floor

mean value of the near-zero noise to add

Value

a cleaned profile

Examples

data(scott)
chrom <- scott[16, ]
cleaned <- clean_profile(chrom)


[Package PrInCE version 1.10.0 Index]