If you have a vector of factors it is easy to get the factor level; however, I always forget how to extract the factor value. I ran into the answer here.> x<-factor(c(round(rnorm(10),2),"A","B",NA))> x 1.61 1.12 1.26 0.09 -0.13 0.16 -...
The plm package for R lets you run a number of common panel data models, including The fixed effects (or within) estimator The random effects GLS estimator It also allows for general GLS estimation, as well as GMM estimation, and includes a feature for heteroscedasticity consistent covariance estimation. It’s very easy to use, it...