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ELBOW (version 1.8.0)

extract_working_sets: extract the initial and final conditions from a table.

Description

Extract the initial and final conditions from a table.

Usage

extract_working_sets(first_my_data, replicate_count1, replicate_count2)

Arguments

first_my_data
A table to translate. The columns in the table should be as follows:
  • probes --- one column containing the names of the probes
  • initial conditions --- one or more columns containing the initial conditions of the experiment
  • final conditions --- one or more columns containing the final conditions of the experiment
replicate_count1
the number of columns (replicates) corresponding to initial conditions.
replicate_count2
the number of columns (replicates) corresponding to final conditions.

Value

a list containing the following:
  • probes --- the set of probes.
  • initial --- a data set of replicates corresponding to initial conditions.
  • final --- a data set of replicates corresponding to final conditions.

Examples

Run this code
# read in the EcoliMutMA sample data from the package
		data(EcoliMutMA, package="ELBOW")
		csv_data <- EcoliMutMA
		# - OR - Read in a CSV file (uncomment - remove the #'s
		#        - from the line below and replace 'filename' with
		#        the CSV file's filename)
		# csv_data <- read.csv(filename)

		# set the number of initial and final condition replicates both to three
		init_count  <- 3
		final_count <- 3

		# Parse the probes, intial conditions and final conditions
		# out of the CSV file.  Please see: extract_working_sets
		# for more information.
		#
		# init_count should be the number of columns associated with
		#       the initial conditions of the experiment.
		# final_count should be the number of columns associated with
		#       the final conditions of the experiment.
		working_sets <- extract_working_sets(csv_data, init_count, final_count)

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