This vignette focuses on using the panelsummary package
with the fixest package. fixest has become one
of the most popular regression packages for economists, and therefore
further capabilities have been implemented in panelsummary
to work seamlessly with fixest. There will be two main
capabilities that this vignette covers:
To start, load in the fixest, panelsummary,
and kableExtra packages.
library(panelsummary)
library(fixest) ## for regressions
library(kableExtra) ## for further table customizationFor demonstration purposes, four regressions are estimated with the
fixest package using the feols function and
the mtcars data:
## estimating two models for mpg
mpg_1 <- mtcars |>
feols(mpg ~ cyl | gear + carb, cluster = ~hp)
mpg_2 <- mtcars |>
feols(mpg ~ cyl | gear + carb + am, cluster = ~hp)
## estimating the same two models for disp
disp_1 <- mtcars |>
feols(disp ~ cyl | gear + carb, cluster = ~hp)
disp_2 <- mtcars |>
feols(disp ~ cyl | gear + carb + am, cluster = ~hp)To create a regression table with two panels (Panel A: MPG/Panel B:
Displacement) and two models in each, the lists
list(mpg_1, mpg_2) and list(disp_1, disp_2)
can be passed into the arguments for .... However, since
each of these models is of the class fixest (i.e., created
with the fixest package), the mean_dependent
argument can be set to TRUE to show the means of the
dependent variable in each column:
panelsummary(list(mpg_1, mpg_2), list(disp_1, disp_2),
mean_dependent = TRUE,
panel_labels = c("Panel A: MPG", "Panel B: Displacement"),
caption = "Automated Mean of Dependent Variable") |>
kable_classic(full_width = F, html_font = "Cambria") |
|
|
|
|---|---|---|
| Panel A: MPG | ||
| cyl | -0.907 | -1.093 |
| (0.789) | (0.801) | |
| Mean of Dependent Variable | 20.091 | 20.091 |
| Num.Obs. | 32 | 32 |
| R2 | 0.818 | 0.835 |
| R2 Adj. | 0.755 | 0.768 |
| R2 Within | 0.058 | 0.088 |
| R2 Within Adj. | 0.017 | 0.046 |
| AIC | 168.3 | 167.1 |
| BIC | 181.4 | 181.8 |
| RMSE | 2.53 | 2.41 |
| Std.Errors | by: hp | by: hp |
| FE: gear | X | X |
| FE: carb | X | X |
| FE: am | X | |
| Panel B: Displacement | ||
| cyl | 43.306 | 43.905 |
| (13.075) | (13.489) | |
| Mean of Dependent Variable | 230.722 | 230.722 |
| Num.Obs. | 32 | 32 |
| R2 | 0.909 | 0.910 |
| R2 Adj. | 0.878 | 0.873 |
| R2 Within | 0.399 | 0.401 |
| R2 Within Adj. | 0.373 | 0.373 |
| AIC | 339.5 | 341.4 |
| BIC | 352.7 | 356.0 |
| RMSE | 36.76 | 36.68 |
| Std.Errors | by: hp | by: hp |
| FE: gear | X | X |
| FE: carb | X | X |
| FE: am | X | |
Notice that a new row was placed before the “Num.Obs.” row in each
panel with the mean of the dependent variable. This is the default
setting. If you would like to change where the mean is placed, you will
need to customize using the panelsummary::panelsummary_raw
function (see the Adding
Rows to a panelsummary Table vignette for more details). Now, using
gof_map (see the modelsummary
website) the goodness-of-fit statistics will be mapped/renamed.
Note that the mean of the dependent variable is not included in
the mapped statistics and cannot be reordered without using
panelsummary::panelsummary_raw.
## creating a renaming tibble to pass into panelsummary
gm <- tibble::tribble(
~raw, ~clean, ~fmt, ~omit,
"nobs", "Observations", 0, FALSE,
"FE: gear", "FE: Gear", 0, FALSE,
"FE: carb", "FE: Carb", 0, FALSE,
"FE: am", "FE: AM", 0, FALSE
)
## creating the regression table
panelsummary(list(mpg_1, mpg_2), list(disp_1, disp_2),
mean_dependent = TRUE,
panel_labels = c("Panel A: MPG", "Panel B: Displacement"),
gof_map = gm,
caption = "Automated Mean of Dependent Variable-Renamed and Reordered") |>
kable_classic(full_width = F, html_font = "Cambria") |
|
|
|
|---|---|---|
| Panel A: MPG | ||
| cyl | -0.907 | -1.093 |
| (0.789) | (0.801) | |
| Mean of Dependent Variable | 20.091 | 20.091 |
| Observations | 32 | 32 |
| FE: Gear | X | X |
| FE: Carb | X | X |
| FE: AM | X | |
| Panel B: Displacement | ||
| cyl | 43.306 | 43.905 |
| (13.075) | (13.489) | |
| Mean of Dependent Variable | 230.722 | 230.722 |
| Observations | 32 | 32 |
| FE: Gear | X | X |
| FE: Carb | X | X |
| FE: AM | X | |
Lastly, as an important aside, any models that are not of class
fixest will not return a dependent variable mean. There are
plans to accommodate more models for this feature in the future.
Notice that in the tables above that the fixed effects in columns (1)
and (2) are the same across each panel. To reduce the number of rows,
the collapse_fe argument can be used to show a separate
panel containing only the fixed effects. Observe that there is also a
warning message returned when this command is used; the warning message
is telling the user that the function assumes both panels have the same
fixed effects for the same models.
## collapsing fixed effects with collapse_fe = T
panelsummary(list(mpg_1, mpg_2), list(disp_1, disp_2),
mean_dependent = TRUE,
panel_labels = c("Panel A: MPG", "Panel B: Displacement"),
gof_map = gm,
caption = "Collapsed Fixed Effects",
collapse_fe = T) |>
kable_classic(full_width = F, html_font = "Cambria") |>
footnote("Collapsing the fixed effects assumes the fixed effects in all panels are the same!")
#> Warning in panelsummary(list(mpg_1, mpg_2), list(disp_1, disp_2),
#> mean_dependent = TRUE, : panelsummary does not check if the fixed effects in
#> each panel match. It always assumes they do!|
|
|
|
|---|---|---|
| Panel A: MPG | ||
| cyl | -0.907 | -1.093 |
| (0.789) | (0.801) | |
| Mean of Dependent Variable | 20.091 | 20.091 |
| Observations | 32 | 32 |
| Panel B: Displacement | ||
| cyl | 43.306 | 43.905 |
| (13.075) | (13.489) | |
| Mean of Dependent Variable | 230.722 | 230.722 |
| Observations | 32 | 32 |
| FE: Gear | X | X |
| FE: Carb | X | X |
| FE: AM | X | |
| Note: | ||
| Collapsing the fixed effects assumes the fixed effects in all panels are the same! | ||
Although it does not appear in HTML, a LaTeX version of this table
will include a horizontal line separating the fixed effects from the
other panels. This can be switched off using the
hline_before_fe argument.