Convert mfi to dilution using known standard curve fit.

Convert mfi to dilution using known standard curve fit.

Usage

.convert_mfi_to_dilution(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 typically used within larger analysis pipelines.
# Below is a minimal runnable example using dummy values.

# Dummy five-parameter logistic fit parameters:
# a, b, c, d, e  (with e on the log scale)
# Additional placeholders (f, g) included so params[6] and params[7] exist.
dummy_params <- c(a = 10000, b = 1.2, c = 0.05, d = 50, e = log(0.01),
                  f = -5, g = 5)

# Example MFI value
mfi_example <- 1500

# Minimum relative dilution allowed
min_rel_dil <- 1

# Convert MFI to dilution
.convert_mfi_to_dilution(mfi_example, dummy_params, min_rel_dil)
#> d 
#> 1