Subset of predictors using coefplot()

问题

I'd like to do a plot of coefficients using coefplot() that only takes into account a subset of the predictors that I'm using. For example, if you have the code

 y1 <- rnorm(1000,50,23)
 x1 <- rnorm(1000,50,2) 
 x2 <- rbinom(1000,1,prob=0.63) 
 x3 <- rpois(1000, 2) 
 fit1 <- lm(y1 ~ x1 + x2 + x3)

and then ran

 coefplot(fit1)

it would give you a plot displaying the coefficients of the intercept, x1, x2 and x3. How can I modify this so I only get the coefficients for say, x1 and x2?

回答1:

You can use the argument predictors and it will only plot the coefficients you need:

library(coefplot)
coefplot(fit1, predictors=c('x1','x2'))

Output:

来源：https://stackoverflow.com/questions/32807860/subset-of-predictors-using-coefplot