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

Description Usage Arguments Details Value Examples

View source: R/elisar.R

Description

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

Usage

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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

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## 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 April 3, 2018, 11:08 a.m.