features.plot: Plot feature optimization result

In alineR: Alignment of Phonetic Sequences Using the 'ALINE' Algorithm

Description

Generates a 4x3 histogram panel plot using the optimization result from optimize.features.

Usage

features.plot(R, 
          first = FALSE, 
          para = c(5, 40, 50, 10, 10, 10, 10, 5, 1, 5, 5, 5, 10),
          skip=FALSE,column=4,row=3)

Arguments

R	Output from optimize.features
first	If TRUE, plot only the first replicate. If FALSE, plot results from all independent replicates.
para	The default feature weights to be plotted in the histogram.
skip	If TRUE, inlcude a 13th histogram for the SkipCost parameter.
column	Number of parameter histogram plots in each row
row	Number of parameter histogram plots in each column

See Also

generate.training,optimize.features

Examples

data<-data.frame(dog=c('dog','perro'),cat=c('cat','gato'),rat=c('rat','rata'))
M1<-generate.training(raw.data=data,search.size=100,table=FALSE)
M2<-optimize.features(set=M1,ranking=c(1,1,1),
                     num=20,step=5,replication=2,list=TRUE)
features.plot(M2)

alineR documentation built on May 2, 2019, 11:26 a.m.