nls_extract: Extract pIC50s From nls
In chapmandu2/pgxsim: Simulate Dose Response Curves For Pharmacogenomics Analysis

Description Usage Arguments Value Examples

Extract the pIC50 values from an nls fit.

1	nls_extract(fit, lower_trunc = 3, upper_trunc = 3)

`fit`	output from `nls_fit`
`lower_trunc`	number of log10 units below the minimum concentration in the dose response curve to truncate the pIC50 to. Default is 3, ie pIC50 below -6 not allowed if minimum concentration is 0.001uM.
`upper_trunc`	number of log10 units above the maximum concentration in the dose response curve to truncate the pIC50 to. Default is 3, ie pIC50 above 4 not allowed if maximum concentration is 10uM.

data frame of values

library(tidyverse)
data(drc_data_small)
cl_data_small <- dplyr::group_by(drc_data_small, cell_id) %>% tidyr::nest()
fit <- nls_fit(cl_data_small$data[[1]])
fit
nls_extract(fit)