| calculate_resiliency | R Documentation |
This is run for every experimental or calibration sample in the metadata.
calculate_resiliency( reference_vector, reads_df, cfu_vector, noiseless_table, sample_name, step_df, min_weight = 0.03, input_calibration = NULL, output_csv = "rtisan_values.csv", output_noiseless = "rtisan_noiseless.csv", innoculation_cfu = 1e+08, do_plots = FALSE, noise_correction = 0.005, verbose = FALSE )
reference_vector |
Set of reference reads/tag. |
reads_df |
Table of the reads/tag for the samples of interest. |
cfu_vector |
Set of cfu values from which to acquire the target cfu for this particular sample. |
noiseless_table |
Input table of noisless data, currently unused. |
sample_name |
Name of this samples, used to extract some data. |
step_df |
Used to calculate the computed_bottleneck by stats::NLSstClosestX and generate the Ns value. |
min_weight |
Constant of the minimum weight! |
input_calibration |
Input calibration file, currently unused. |
output_csv |
Output csv file for writing new values. |
innoculation_cfu |
Assumed cfu when not provided. |
do_plots |
Print plots? |
noise_correction |
Constant for correcting noise! |
verbose |
Print text while running? |
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