plot.qlearn: Plot the linear coefficients of interaction
In DTRlearn: Learning Algorithms for Dynamic Treatment Regimes

Description Usage Arguments Author(s) See Also Examples

The function plots the standardized coefficients from linear regression, i.e. it divides the coefficients for a selected set of variables by the L2 norm.

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

`x`	a model of class `'qlearn'`.
`index`	is the vector of indices 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 the y axis. Defalt is "std coefficients".
`xlab`	The label for the x axis.
`col`	color to fill the bars in the plot.
`...`	further arguments passed to or from other methods.

Ying Liu yl2802@cumc.columbia.edu http://www.columbia.edu/~yl2802/

Qlearning_Single

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)