sicegar (version 0.2.4)

normalizeData: Normalization of given data

Description

Maps the given time-intensity data into a rescaled data frame where time is scaled in a way that maximum time point is one and intensity is distributed between [0,1].

Usage

normalizeData(dataInput, dataInputName = NA)

Arguments

dataInput

A data frame or a list contatining the dataframe. The data frame should be composed of at least two columns. One represents time, and the other represents intensity.

dataInputName

experiment name (Default is 'NA').

Value

Function returns a new data frame, scaling factors and scaling constants that connects initial data frame to new one. The new data frame includes 2 columns one is for normalized time and the other is for noralized intensity. The whole time is distributed between 0 and 1 and similarly the whole intensity is distributed between 0 and 1. The time and intensity constants and scaling factors are the parameters to transform data from unnormalized data frame to normalized data frame.

Examples

# NOT RUN {
# generateRandomData
time <- seq(3, 48, 0.5)
intensity <- runif(length(time), 3.0, 7.5)
dataInput <- data.frame(time, intensity)

# Normalize Data
dataOutput <- normalizeData(dataInput, dataInputName="sample001")

# }