LPWC (version 1.0.0)

prep.data: Preparing Data

Description

This function prepares the data to compute correlation by introducing NA's when lags are needed

Usage

prep.data(data, lags, timepoints)

Arguments

data

a matrix or data frame with rows representing genes and columns representing different timepoints. If data is a data frame, the gene names can be specified using the row.names().

lags

a vector of same length as the number of rows in the data column indicating the best lags

timepoints

a vector of time points used in the dataset

Value

a list of two matrices, one matrix with NA's for the lags for the dataset and another matrix with the timepoints used for each row in the dataset

Examples

# NOT RUN {
prep.data(array(rnorm(20), c(5, 4)), c(0, 0, 0, -1, 1),
          timepoints = c(0, 5, 15, 30))
prep.data(array(runif(100, 0, 10), c(10, 10)), sample((-2:2), size = 10, replace = TRUE),
          timepoints = c(0, 5, 15, 30, 45, 60, 75, 80, 100, 120))

# }