dimsum__normalise_fitness: dimsum__normalise_fitness
In lehner-lab/DiMSum: A pipeline for processing deep mutational scanning data
View source: R/dimsum__normalise_fitness.R
dimsum__normalise_fitness R Documentation
dimsum__normalise_fitness
Description
Normalise fitness and error for differences in number of generations.
Usage
dimsum__normalise_fitness(dimsum_meta, input_dt, all_reps, fitness_suffix = "")
Arguments
dimsum_meta
an experiment metadata object (required)
input_dt
input data.table (required)
all_reps
list of replicates to retain (required)
fitness_suffix
fitness and sigma suffix (default:"")
Value
data.table with normalised fitness and error
lehner-lab/DiMSum documentation built on April 10, 2024, 4:15 a.m.
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View source: R/dimsum__normalise_fitness.R
| dimsum__normalise_fitness | R Documentation |
dimsum__normalise_fitness
Description
Normalise fitness and error for differences in number of generations.
Usage
dimsum__normalise_fitness(dimsum_meta, input_dt, all_reps, fitness_suffix = "")
Arguments
dimsum_meta |
an experiment metadata object (required) |
input_dt |
input data.table (required) |
all_reps |
list of replicates to retain (required) |
fitness_suffix |
fitness and sigma suffix (default:"") |
Value
data.table with normalised fitness and error
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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