Extracts an element at the root of a fixest_multi object.
# S3 method for fixest_multi
$(x, name)A fixest_multi object, obtained from a fixest estimation leading to multiple results.
The name of the root element to select.
It either returns a fixest_multi object or a fixest object it there is only one estimation associated to the root element.
The main fixest estimation functions: feols, fepois, fenegbin, feglm, feNmlm. Tools for mutliple fixest estimations: summary.fixest_multi, print.fixest_multi, as.list.fixest_multi, sub-sub-.fixest_multi, sub-.fixest_multi, cash-.fixest_multi.
base = iris
names(base) = c("y", "x1", "x2", "x3", "species")
# Multiple estimation
res = feols(y ~ csw(x1, x2, x3), base, split = ~species)
# Let's the results for the setosa species
res$setosa
#> Standard-errors: IID
#> Expl. vars.: x1
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 2.639001 0.310014 8.51251 3.7424e-11 ***
#> x1 0.690490 0.089899 7.68074 6.7098e-10 ***
#> ---
#> Expl. vars.: x1 + x2
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 2.303738 0.385294 5.97917 2.8943e-07 ***
#> x1 0.667416 0.090356 7.38653 2.1252e-09 ***
#> x2 0.283419 0.197224 1.43704 1.5733e-01
#> ---
#> Expl. vars.: x1 + x2 + x3
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 2.351890 0.392868 5.986471 3.0342e-07 ***
#> x1 0.654835 0.092447 7.083324 6.8344e-09 ***
#> x2 0.237560 0.208019 1.142011 2.5936e-01
#> x3 0.252126 0.346864 0.726873 4.7099e-01
# now for versicolor
etable(res$versicolor)
#> model 1 model 2 model 3
#> Sample (species) versicolor versicolor versicolor
#> Dependent Var.: y y y
#>
#> (Intercept) 3.540*** (0.5629) 2.116*** (0.4943) 1.896*** (0.5071)
#> x1 0.8651*** (0.2019) 0.2476 (0.1868) 0.3869. (0.2045)
#> x2 0.7356*** (0.1248) 0.9083*** (0.1654)
#> x3 -0.6792 (0.4354)
#> ________________ __________________ __________________ __________________
#> S.E. type IID IID IID
#> Observations 50 50 50
#> R2 0.27658 0.58413 0.60503
#> Adj. R2 0.26151 0.56644 0.57927
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1