Convert mfi to dilution using known standard curve fit and no lower bound

Convert mfi to dilution using known standard curve fit and no lower bound unless you are below the asymptote of the standard curve. In this situation we set your value to min_relative_dilution. I dunno argue?

Usage

.convert_mfi_to_dilution_no_lower_bound(mfi, params, min_relative_dilution)

Arguments

mfi

Known mfi of samples

params

Known parameters for five parameter logistic fit.

min_relative_dilution

Known minimum value of dilution in the standard curve. Relative means setting S1 to a dilution/RAU/concentration of 1.

Value

Returns the dilution of each sample in mfi.

Author

Eamon Conway

Examples

# This function is usually called inside higher-level analysis steps.
# Below is a minimal runnable example using dummy values.

# Dummy five-parameter logistic fit parameters:
# a, b, c, d, e  (with e typically on the log scale)
dummy_params <- c(a = 10000, b = 1.2, c = 0.05, d = 50, e = log(0.01), f = 0, g = 5)

# Example MFI value
mfi_example <- 1500

# Minimum relative dilution from the standard curve
min_rel_dil <- 1

# Convert MFI to dilution without applying a lower bound
.convert_mfi_to_dilution_no_lower_bound(mfi_example, dummy_params, min_rel_dil)
#> d 
#> 1