CRepsd: To combine the replicates of normalised and standardized...

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

Description

Function CRepsd works on the output of the function readGNS, which is an object of Class gnsdt and populate them in an object of Class gnsdt

Usage

## S4 method for signature 'gnsdt'
CRepsd(gnsdt)

Arguments

gnsdt

object of the S4 Class gnsdt

Details

Allows the user to compute normalization and standardization of intensites, to combine the replicates of normalized and standardized intensities,to compute the standard deviation (S.D.) of normalized and standardized intensities within replicates, to compute the S.D. of intensities of control and test raw data intensity within replicates and save them in different slots: (1)nsData: Normalized and standardized intensities (2)cData: to save combined replicates of normalized and standardized intensities (3) sdnsData: to contain the standard deviation of normalized and standardized intensities within replicates (4) sdData: to contain the standard deviation of control and test line raw intensity data within replicates

Value

object of Class "gnsdt" and save the results in slot cData

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 visualise all the data with all the slots
data
## to visualise the initial data
slot(data,"iData")
## to read the file
crep1 <- CRepsd(data)
## to visualize the overall results
crep1
## to visualize the normalized and standardized intensities
slot(crep1,"nsData")
## to visualize the combined replicates
slot(crep1,"cData")
## to visualize the standard deviation of combined replicates
slot(crep1,"sdnsData")
## to visualize the standard deviation of raw intensity data
slot(crep1,"sdData")

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