DTRlearn (version 1.0)

plot.qlearn: Plot the linear coefficients of interaction

Description

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

Usage

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

Arguments

x

Single stage Qlearning model of class qlearn

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.defalt is "std coefficients"

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

Qlearning_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)
modelQ=Qlearning_Single(X,A,R)
plot(modelQ)