This function reads growth data from a file, applies several optional preprocessing steps, and saves the processed data.
Usage
preprocess_data(
object,
baseline = 1,
log_transform = TRUE,
skip_first_n_timepoints = 0
)
# S4 method for class 'DGrowthR'
preprocess_data(
object,
baseline = 1,
log_transform = TRUE,
skip_first_n_timepoints = 0
)Arguments
- object
A DGrowthR object containing the growth data.
- baseline
A numeric value specifying timepoint that will be used for baseline correction. If a vector is provided, then the minimum OD of the provided timepoints is used as baseline.
- log_transform
A logical value indicating whether to perform log transformation on optical density measurements. This enables accurate estimation of growth parameters.
- skip_first_n_timepoints
A numeric value the number of timepoints to skip for all growth curves. The analysis would start at skip_first_n_timepoints + 1.