#STATA REGRESS IF NOT MANUAL#

#> 'clustervcv' 'cse' 'ctval' 'cpval' 'clustervar'Īpplying summary prints a table similar to Stata output summary(result) #> 'df.residual' 'rank' 'exactDOF' 'vcv' 'robustvcv' #> 'r.residuals' 'terms' 'cfactor' 'numrefs' 'df' #> 'inv' 'beta' 'response' 'fitted.values' 'residuals' Apply the names function to examine the result: result 'coefficients' 'badconv' 'Pp' 'N' 'p' SPSS is a trialware that you can use to record and then analyze. The package matchit implements matching procedures.Īn estimation function returns a list that contains the estimates, the covariance matrix, and in a lot of cases, the residuals, the predicted values, or the original variables used in the estimation. SPSS latest version: Statistical analysis tool for data.The package rdd implements regression discontinuity models.

#STATA REGRESS IF NOT MANUAL#

Manual adjustments can be done similarly to Gormley and Matsa. Reghdfe y x2, a(c.x3#i.id1 id1) cl(id1 id2)Įrrors reported by felm are similar to the ones given by areg and not xtivreg/ xtivreg2. The package lfe implements models with high dimensional fixed effects or/and instrumental variables N % mutate(id1 = as.factor(id1))įelm(y ~ x1 | id1 | 0 | id1, df, weight = x3)) The table below shows the correspondance between regression models in Stata and R Stata

Stata regress if not