Skip to contents

Displays summary information on fixest_multi objects in the R console.

Usage

# S3 method for class 'fixest_multi'
print(x, type = "etable", ...)

Arguments

x

A fixest_multi object, obtained from a fixest estimation leading to multiple results.

type

A character either equal to "etable", "short", "long", "compact", "se_compact" or "se_long". If etable, the function etable is used to print the result. If short, only the table of coefficients is displayed for each estimation. If long, then the full results are displayed for each estimation. If compact, a data.frame is returned with one line per model and the formatted coefficients + standard-errors in the columns. If se_compact, a data.frame is returned with one line per model, one numeric column for each coefficient and one numeric column for each standard-error. If "se_long", same as "se_compact" but the data is in a long format instead of wide.

...

Other arguments to be passed to summary.fixest_multi.

See also

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.

Examples


base = iris
names(base) = c("y", "x1", "x2", "x3", "species")

# Multiple estimation
res = feols(y ~ csw(x1, x2, x3), base, split = ~species)

# Let's print all that
res
#>                                 x.1                x.2                x.3
#> Sample (species)             setosa             setosa             setosa
#> Dependent Var.:                   y                  y                  y
#>                                                                          
#> Constant          2.639*** (0.3100)  2.304*** (0.3853)  2.352*** (0.3929)
#> x1               0.6905*** (0.0899) 0.6674*** (0.0904) 0.6548*** (0.0925)
#> x2                                     0.2834 (0.1972)    0.2376 (0.2080)
#> x3                                                        0.2521 (0.3469)
#> ________________ __________________ __________________ __________________
#> S.E. type                       IID                IID                IID
#> Observations                     50                 50                 50
#> R2                          0.55138            0.57026            0.57514
#> Adj. R2                     0.54203            0.55197            0.54743
#> 
#>                                 x.4                x.5                x.6
#> Sample (species)         versicolor         versicolor         versicolor
#> Dependent Var.:                   y                  y                  y
#>                                                                          
#> Constant          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
#> 
#>                                 x.7                x.8                x.9
#> Sample (species)          virginica          virginica          virginica
#> Dependent Var.:                   y                  y                  y
#>                                                                          
#> Constant          3.907*** (0.7571)    0.6248 (0.5249)    0.6999 (0.5336)
#> x1               0.9015*** (0.2531)   0.2600. (0.1533)   0.3303. (0.1743)
#> x2                                  0.9348*** (0.0896) 0.9455*** (0.0907)
#> x3                                                       -0.1698 (0.1981)
#> ________________ __________________ __________________ __________________
#> S.E. type                       IID                IID                IID
#> Observations                     50                 50                 50
#> R2                          0.20906            0.76147            0.76522
#> Adj. R2                     0.19258            0.75132            0.74991
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1