Getting Started in Linear Regression using R - Princeton University
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Getting Started in Linear Regression using R - Princeton University
Type of occupation. A factor with levels (note: out of order): bc, Blue Collar; prof, Professional,. Managerial, and Tec
Getting Started in Linear Regression using R (with some examples in Stata) (ver. 0.1-Draft)
Oscar Torres-Reyna gen log2income=log10(income)/log10(2)
type. Type of occupation. A factor with levels (note: out of order): bc, Blue Collar; prof, Professional, Managerial, and Technical; wc, White Collar.
*Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.
NOTE: The R content presented in this document is mostly based on an early version of Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage; and from class notes from the ICPSR’s workshop Introduction to the R Statistical Computing Environment taught by John Fox during the summer of 2010. 2
Linear regression (heteroskedasticity-robust standard errors) library(lmtest) library(sandwich) reg1$robse F R-squared Adj R-squared Root MSE P>|t| 0.000 0.000 0.120 0.000
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