elisa_analyse: Analyse the O.D. values (regression)

In koncina/elisar: Elisa 4PL regression

Description

Performs a 4-PL regression of the standard values and converts the O.D. into concentration values.

Usage

elisa_analyse(.data, std_key = "^STD", dec = ".", var_in = "value",
  var_out = "estimate", .drop = FALSE)

elisa_analyze(.data, std_key = "^STD", dec = ".", var_in = "value",
  var_out = "estimate", .drop = FALSE)

Arguments

.data	dataframe containing at least the value and id columns (with O.D. values and sample identifiers).
std_key	a character string specifying the common starting pattern of standard point ids (default = "^STD").
dec	a character string used as a decimal separator for the encoded standard concentration values.
var_in	a character string used for the OD values (default = "value")
var_out	a character string used to name the output columns (default = "estimate")
.drop	Should input columns be dropped? (default = 'FALSE')
value	a character string specifying the column containing the O.D. values (default = "value").

Details

A complete example on how to perform an analysis can be found at https://github.com/koncina/elisar.

Value

A dataframe including the calculated concentrations, standard deviation and wether the value is in the range of the standard curve.

Examples

## Not run: 
library(elisar)
# Import file
e <- read_plate("od_measure.xls")
elisa_analyse(e)
elisa_analyse(e, .drop = TRUE)

## End(Not run)

koncina/elisar documentation built on May 20, 2019, 12:55 p.m.