DTRlearn (version 1.0)

plot.linearcl: Plot the linear coefficients

Description

Plot the standardized coefficients from SVM with linear kernel, i.e. it devides the coefficients for a selected set of variables by the L2 norm.

Usage

## S3 method for class 'linearcl'
## S3 method for class 'linearcl':
plot(x, index = NULL, names = NULL,
ylab = "std coefficients", xlab = "", col = "gray",...)

Arguments

x

Single stage Olearning model with SVM classifier and linear kernel with class 'linearcl'

index

is the vector of indexes of variables to plot.

names

is the vector of names of each variables to appear in the plot. If not specified, the names would be V1-Vp

ylab

The label for y yaxis.

xlab

The label for x yaxis.

col

color to fill the bars in the plot.

...

further arguments passed to or from other methods.

See Also

Olearning_Single

Examples

n=200
A=2*rbinom(n,1,0.5)-1
p=20
mu=numeric(p)
Sigma=diag(p)
X=mvrnorm(n,mu,Sigma)
R=X[,1:3]%*%c(1,1,-2)+X[,3:5]%*%c(1,1,-2)*A+rnorm(n)
model1=Olearning_Single(X,A,R)
plot(model1)