Create a mapping of concentrations to standardized concentrations.

Usage

map_conc_to_standardized_conc(conc1, conc2)

Arguments

conc1: numeric vector of the concentrations for drug 1.
conc2: numeric vector of the concentrations for drug 2.

Value

data.table of 2 columns named "concs" and "rconcs" containing the original concentrations and their closest matched standardized concentrations respectively. and their new standardized concentrations.

Details

The concentrations are standardized in that they will contain regularly spaced dilutions and close values will be rounded.

Examples


ratio <- 0.5
conc1 <- c(0, 10 ^ (seq(-3, 1, ratio)))

shorter_range <- conc1[-1]
noise <- runif(length(shorter_range), 1e-12, 1e-11)
conc2 <- shorter_range + noise

map_conc_to_standardized_conc(conc1, conc2)
#>            concs   rconcs
#>            <num>    <num>
#>  1:  0.000000000  0.00000
#>  2:  0.001000000  0.00100
#>  3:  0.003162278  0.00316
#>  4:  0.010000000  0.01000
#>  5:  0.031622777  0.03160
#>  6:  0.100000000  0.10000
#>  7:  0.316227766  0.31600
#>  8:  1.000000000  1.00000
#>  9:  3.162277660  3.16000
#> 10: 10.000000000 10.00000
#> 11:  0.001000000  0.00100
#> 12:  0.003162278  0.00316
#> 13:  0.010000000  0.01000
#> 14:  0.031622777  0.03160
#> 15:  0.100000000  0.10000
#> 16:  0.316227766  0.31600
#> 17:  1.000000000  1.00000
#> 18:  3.162277660  3.16000
#> 19: 10.000000000 10.00000