ReadExperimentalData: read experimental data

In CausalR: Causal network analysis methods

Description

Reads experimental data for the causal reasoning algorithm from a text file.

Usage

ReadExperimentalData(fileName, network, removeDuplicates)

Arguments

fileName	a file containing the experimental data (text file format)
network	a (Computational) Causal Graph, as an igraph.
removeDuplicates	Optional, defaults to true. Remove duplicated nodes the experimental file (i.e. where the result for a node is repeated, use the first value given only; the alternative is to return a result which contains multiple rows for this node).

Value

(n x 2) matrix of nodes and direction of regulation. The first column of the matrix contains the node IDs from the network, and the second contains the experimental values.

Examples

#get path to example network file
network <- system.file(package='CausalR', 'extdata', 'testNetwork.sif')
##create ccg
ccg <- CreateCCG(network)
#get path to example experimental data
fileName<- system.file(package='CausalR', 'extdata', 'testData.txt')
ReadExperimentalData(fileName, ccg)

Example output

      testData <NA>
 [1,]        1    1
 [2,]        2   -1
 [3,]        3    1
 [4,]        4   -1
 [5,]        5    1
 [6,]        6   -1
 [7,]        7    1
 [8,]        8   -1
 [9,]        9    1
[10,]       10   -1

CausalR documentation built on Nov. 8, 2020, 5:25 p.m.