selectVar {omicade4} | R Documentation |
The user level function calls selectVar.mcia
or
selectVar.cia
. Function cia
or mcia
projects variables (genes)
from different datasets
to a 2 dimensional space. This function supplies a method selecting
variables (genes) according to the coordinates of variables
selectVar(x, axis1 = 1, axis2 = 2, ...)
x |
An object of class |
axis1 |
Integer, the column number for the x-axis. The default is 1. |
axis2 |
Integer, the column number for the y-axis. The default is 2. |
... |
Other arguments |
Returns a data.frame describing which variables (genes) are presented on which data.frames within the limited region(s).
Chen Meng
See Also as selectVar.mcia
, selectVar.cia
data(NCI60_4arrays) mcoin <- mcia(NCI60_4arrays) selectVar(mcoin, a1.lim=c(2, Inf), a2.lim=c(-Inf, Inf)) # an example for the usage of sepID.data and sepID.sep nci60_mod <- NCI60_4arrays rownames(nci60_mod$hgu95) <- paste(rownames(nci60_mod$hgu95), "s1", sep="_") mcoin_mod <- mcia(nci60_mod) # without specifing selectVar(mcoin_mod, a1.lim=c(2, Inf), a2.lim=c(-Inf, Inf)) # specifing the sepID.data and sepID.sep selectVar(mcoin_mod, a1.lim=c(2, Inf), a2.lim=c(-Inf, Inf), sepID.data=4, sepID.sep="_")