make_designMatrix: Creates a Model matrix.

In jtcasemajor/CPRD: Comparison of DEG and coexpression tools

Description

Creates a Model matrix.

Usage

make_designMatrix(
  dataset,
  cond1 = "A",
  cond2 = "B",
  ncond1 = (ncol(dataset)/2),
  ncond2 = (ncol(dataset)/2)
)

Arguments

dataset	dataframe of expression values with samples in columns and genes in row.
cond1	Name of the first experimental condition.
cond2	Name of the second experimental condition.
ncond1	Number of sample in the first experimental condition.
ncond2	Number of sample in the the second experimental condition.

Value

Model matrix.

Examples

# Import the dataset
Data = matrix(runif(5000, 10, 100), ncol=20)
group = paste0(rep(c("control", "case"), each = 10),rep(c(1:10),each = 1))
genes <- paste0(rep(LETTERS[1:25], each=10), rep(c(1:10),each = 1))
colnames(Data) = group
row.names(Data) = genes 

# Creating the design matrix
design = make_designMatrix(dataset = Data, 
                            cond1 = "control", 
                            cond2 = "Case", 
                            ncond1 = 10, 
                            ncond2 = 10)

jtcasemajor/CPRD documentation built on Dec. 21, 2021, 3:22 a.m.