rmbg_gm_gc: Remove background, get model, get concentration

In KarenGoncalves/elisaFunctions: What the Package Does (One Line, Title Case)

Description

This function removes background absorbance from absorbance measured in each treatment (exported as first object of the list), then it calculates the standard curve from the values in lines for which the condition is a number (considered the known concentration), the curve is exported as the second object of the list. Finally, it uses the measured values of absorbance (with background subtracted already) to get the concentration and saves it to a data frame (only the for the treatments), this data frame is the third object of the list

Usage

rmbg_gm_gc(data, background, treatments, condition_column, measure_column,
  plate_column, concentration_column)

Arguments

data	name of the dataframe with condition_column and measure_column
background	string in the condition column that indicates which measures are the blank
treatments	vector with strings for each condition/treatment in the study
condition_column	name of the column where the conditions are listed
measure_column	name of the column where the measures, corrected by removing the background, are recorded
plate_column	column in data that indicates from which plate each data comes from

KarenGoncalves/elisaFunctions documentation built on Jan. 1, 2020, 1:02 p.m.