checks {clusterCons} | R Documentation |
Functions to check the integrity of various objects
Description
These methods are mainly internal although the user may like to check their original data using
data_check
before they perform consensus clustering experiments.
Usage
data_check(x)
validConsMatrixObject(object)
validMemRobListObject(object)
validMemRobMatrixObject(object)
validMergeMatrixObject(object)
validAUCObject(object)
validDkObject(object)
Arguments
x |
The data.frame object to be checked prior to using with the |
object |
The object to be checked with the suitable function by type. These are used internally by several of the functions in the package. |
Value
returns TRUE
if check is passed or an error message if it is not
Author(s)
Dr. T. Ian Simpson ian.simpson@ed.ac.uk
References
Merged consensus clustering to assess and improve class discovery with microarray data. Simpson TI, Armstrong JD and Jarman AP. BMC Bioinformatics 2010, 11:590.
Examples
#load data
data(sim_profile);
#check if this can be used by cluscomp
data_check(sim_profile);
#perform a clusomp run
cmr <- cluscomp(sim_profile,clmin=2,clmax=2,rep=10);
#check one of the consensus matrices
validConsMatrixObject(cmr$e1_kmeans_k2)
[Package clusterCons version 1.2 Index]