gnsmodel: To generate the linear fitted plots of lm(Normalized...

In NPhogat/GNSplex: An R package for analysis of the data of gold nanoparticles based singleplex bioassay

Description

Function gnsmodel generates the plots of linear model of normalized and standardized intensities vs Concentration. It works on the output of CRepsd, which is an object of class gnsdt and utilized the combined replicates of normalized and standardized intensities to fit linearly with concentration data.

Usage

## S4 method for signature 'gnsdt'
gnsmodel(gnsdt, Normal = TRUE)

Arguments

gnsdt	output of function CRepsd, which is an object of class \Codegnsdt
Normal	choose between TRUE or FALSE, where TRUE is default. When TRUE, then returns the plots of lm(normalized intensity~Concentration) and when FALSE, then returns the plots of lm(standardized intensity~Concentration)

Details

Allows the user to get the linearly fitted plots of normalized and standardized intensities after combining replicates with respect to concentration

Value

linearly fitted plots

Author(s)

Navneet Phogat, Matthias Kohl, [e-mail]

Examples

##To read the .csv file
file1 <- system.file("exData", "Imager.csv", package = "ReadqPCR")
data <- readGNS(file = file1)
## to combine the replicates of normalized and standardized intensities
crep1 <- CRepsd(data)
## to get the linearly fitted plot of normalized intensities vs concentration
gnsmodel(crep1)
## to get the linearly fitted plots of standardized intensities vs concentration
gnsmodel(crep1, Normal = FALSE)

NPhogat/GNSplex documentation built on May 8, 2020, 9:28 p.m.