Extract features for model training from raw data.
Usage
X.extract.raw.features(data = NULL, abundances = c(1, 2), remains = 10)Arguments
- data
Data frame with data containing a column 'protein' for protein IDs, 'length' for protein sequence length and one column for abundances at each temperature labeled Ab1-AbN.
- abundances
Vector of integers: Which temperatures should be used to estimate protein abundances?.
- remains
Vector of integers: Which temperatures should be used to estimate protein remains?
Examples
features.raw <- X.extract.raw.features(MCdata.clean$data, abundances=c(1,2), remains=10)
#> Error: object 'MCdata.clean' not found