Model summary table for donut_list
donut_summary.RdConvenience function to make a modelsummary table.
Input needs to be a list of donut_analysis models, i.e. a donut_list.
Usage
donut_summary(
donut_list,
filter_80 = TRUE,
title = NULL,
hist = TRUE,
r_inner = NULL,
sort_variables = TRUE,
output,
format_numbers = TRUE,
...
)Arguments
- donut_list
The donut_list
- filter_80
Should only regressions where treated are <=80% be shown? Defaults to true.
- title
Optional: a title for the summary table. Defaults to "Regression results (r_inner km radius)".
- hist
If
donut_listhas clustered standard errors: Should a histogram of the clusters be shown?- r_inner
The inner radius; optional. A (vector of) integers which are the inner radius of a
donut_model. Must be in thedonut_list.- sort_variables
Should the variables be sorted so that "dist" is at the top? Logical. Currently, this is supported for all
seoptions but "basic".- output
The output of modelsummary, e.g.
kableExtraandmodelsummary_list. Note thatmodelsummary_listgets additional list elements so the input information does not get lost.- format_numbers
Logical. Should numbers be formatted so that the thousands are separated by a comma?
- ...
Optional arguments for histogram and modelsummary
Examples
data(donut_data)
models <-
donut_models(inner = 2:4, outer = c(10, 20), ds = donut_data,
dep_var = "wealth_index", indep_vars = "age", fe = "id")
table <-
donut_summary(donut_list = models, r_inner = 3, height = 200)
#> Warning: The `x` argument of `as_tibble.matrix()` must have unique column names if
#> `.name_repair` is omitted as of tibble 2.0.0.
#> ℹ Using compatibility `.name_repair`.
#> ℹ The deprecated feature was likely used in the donutsR package.
#> Please report the issue to the authors.
library(modelsummary)
model_not_donut <- feols(age ~ male | id, data = donut_data, vcov = "cluster")
modelsummary(model_not_donut)
#> <table class="table" style="width: auto !important; margin-left: auto; margin-right: auto;">
#> <thead>
#> <tr>
#> <th style="text-align:left;"> </th>
#> <th style="text-align:center;"> (1) </th>
#> </tr>
#> </thead>
#> <tbody>
#> <tr>
#> <td style="text-align:left;"> male </td>
#> <td style="text-align:center;"> 0.005 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;box-shadow: 0px 1.5px"> </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.162) </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Num.Obs. </td>
#> <td style="text-align:center;"> 100000 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> R2 </td>
#> <td style="text-align:center;"> 0.000 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> R2 Adj. </td>
#> <td style="text-align:center;"> 0.000 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> R2 Within </td>
#> <td style="text-align:center;"> 0.000 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> R2 Within Adj. </td>
#> <td style="text-align:center;"> 0.000 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> AIC </td>
#> <td style="text-align:center;"> 923664.0 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> BIC </td>
#> <td style="text-align:center;"> 923863.7 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> RMSE </td>
#> <td style="text-align:center;"> 24.51 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Std.Errors </td>
#> <td style="text-align:center;"> by: id </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> FE: id </td>
#> <td style="text-align:center;"> X </td>
#> </tr>
#> </tbody>
#> </table>
model_w_bootstrap <- donut_models(inner = 2:4, outer = c(10, 20), ds = donut_data,
dep_var = "wealth_index", indep_vars = "age", fe = "id", bootstrap = TRUE)
#> Warning: Please note that the seeding behavior for random number generation for
#> `boottest()` has changed with `fwildclusterboot` version 0.13.
#>
#> It will no longer be possible to exactly reproduce results produced by versions
#> lower than 0.13.
#>
#> If your prior results were produced under sufficiently many bootstrap
#> iterations, none of your conclusions will change. For more details about this
#> change, please read the notes in
#> [news.md](https://cran.r-project.org/web/packages/fwildclusterboot/news/news.html).
#> This warning is displayed once per session.
#> Too guarantee reproducibility, don't forget to set a global random seed
#> **both** via `set.seed()` and `dqrng::dqset.seed()`.
#> This message is displayed once every 8 hours.
donut_summary(model_w_bootstrap, r_inner = 4)
#> <table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;border-bottom: 0;" class="table">
#> <caption>Regression results (4km inner radius)</caption>
#> <thead>
#> <tr>
#> <th style="text-align:left;"> </th>
#> <th style="text-align:center;"> (1) </th>
#> <th style="text-align:center;"> (2) </th>
#> </tr>
#> </thead>
#> <tbody>
#> <tr>
#> <td style="text-align:left;"> Lives close to landfill </td>
#> <td style="text-align:center;"> −0.023 </td>
#> <td style="text-align:center;"> −0.024 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Age </td>
#> <td style="text-align:center;"> −0.001 </td>
#> <td style="text-align:center;"> 0.000 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;box-shadow: 0px 1.5px"> </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.001) </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.000) </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Num. Observations </td>
#> <td style="text-align:center;"> 6,703 </td>
#> <td style="text-align:center;"> 30,762 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> $R^2$ </td>
#> <td style="text-align:center;"> 0.003 </td>
#> <td style="text-align:center;"> 0.001 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Outer radius in km </td>
#> <td style="text-align:center;"> 10 </td>
#> <td style="text-align:center;"> 20 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Treated<sup>1</sup> </td>
#> <td style="text-align:center;"> 1,804 </td>
#> <td style="text-align:center;"> 1,804 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> </td>
#> <td style="text-align:center;"> [26.91] </td>
#> <td style="text-align:center;"> [5.86] </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Clusters<sup>2</sup> </td>
#> <td style="text-align:center;"> 20 </td>
#> <td style="text-align:center;"> 20 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> </td>
#> <td style="text-align:center;"> [20] </td>
#> <td style="text-align:center;"> [20] </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Cluster histogram </td>
#> <td style="text-align:center;"> <?xml version="1.0" encoding="UTF-8"?>
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#> </tbody>
#> <tfoot><tr><td style="padding: 0; " colspan="100%">
#> <sup></sup> + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001</td></tr></tfoot>
#> <tfoot>
#> <tr><td style="padding: 0; " colspan="100%"><span style="font-style: italic;">Note: </span></td></tr>
#> <tr><td style="padding: 0; " colspan="100%">
#> <sup></sup> Numbers in parentheses refer to standard errors. P-values for the treatment status are bootstrapped, so standard errors are not applicable.</td></tr>
#> <tr><td style="padding: 0; " colspan="100%">
#> <sup>1</sup> Numbers in brackets refer to the treated percentage</td></tr>
#> <tr><td style="padding: 0; " colspan="100%">
#> <sup>2</sup> Numbers in brackets refer to the number of treated clusters</td></tr>
#> </tfoot>
#> </table>
models_list <- list(model_w_bootstrap, models) |> unlist(recursive = FALSE)
donut_summary(models_list, r_inner = 3)
#> <table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;border-bottom: 0;" class="table">
#> <caption>Regression results (3km inner radius)</caption>
#> <thead>
#> <tr>
#> <th style="text-align:left;"> </th>
#> <th style="text-align:center;"> (1) </th>
#> <th style="text-align:center;"> (2) </th>
#> <th style="text-align:center;"> (3) </th>
#> <th style="text-align:center;"> (4) </th>
#> </tr>
#> </thead>
#> <tbody>
#> <tr>
#> <td style="text-align:left;"> Lives close to landfill </td>
#> <td style="text-align:center;"> −0.036 </td>
#> <td style="text-align:center;"> −0.038 </td>
#> <td style="text-align:center;"> −0.036 </td>
#> <td style="text-align:center;"> −0.038 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> </td>
#> <td style="text-align:center;"> </td>
#> <td style="text-align:center;"> </td>
#> <td style="text-align:center;"> (0.053) </td>
#> <td style="text-align:center;"> (0.046) </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Age </td>
#> <td style="text-align:center;"> −0.001 </td>
#> <td style="text-align:center;"> 0.000 </td>
#> <td style="text-align:center;"> −0.001 </td>
#> <td style="text-align:center;"> 0.000 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;box-shadow: 0px 1.5px"> </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.001) </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.000) </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.001) </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.000) </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Num. Observations </td>
#> <td style="text-align:center;"> 6,703 </td>
#> <td style="text-align:center;"> 30,762 </td>
#> <td style="text-align:center;"> 6,703 </td>
#> <td style="text-align:center;"> 30,762 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> $R^2$ </td>
#> <td style="text-align:center;"> 0.004 </td>
#> <td style="text-align:center;"> 0.001 </td>
#> <td style="text-align:center;"> 0.004 </td>
#> <td style="text-align:center;"> 0.001 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Outer radius in km </td>
#> <td style="text-align:center;"> 10 </td>
#> <td style="text-align:center;"> 20 </td>
#> <td style="text-align:center;"> 10 </td>
#> <td style="text-align:center;"> 20 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Treated<sup>1</sup> </td>
#> <td style="text-align:center;"> 1,389 </td>
#> <td style="text-align:center;"> 1,389 </td>
#> <td style="text-align:center;"> 1,389 </td>
#> <td style="text-align:center;"> 1,389 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> </td>
#> <td style="text-align:center;"> [20.72] </td>
#> <td style="text-align:center;"> [4.52] </td>
#> <td style="text-align:center;"> [20.72] </td>
#> <td style="text-align:center;"> [4.52] </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Clusters<sup>2</sup> </td>
#> <td style="text-align:center;"> 20 </td>
#> <td style="text-align:center;"> 20 </td>
#> <td style="text-align:center;"> 20 </td>
#> <td style="text-align:center;"> 20 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> </td>
#> <td style="text-align:center;"> [20] </td>
#> <td style="text-align:center;"> [20] </td>
#> <td style="text-align:center;"> [20] </td>
#> <td style="text-align:center;"> [20] </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Cluster histogram </td>
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#> <tfoot><tr><td style="padding: 0; " colspan="100%">
#> <sup></sup> + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001</td></tr></tfoot>
#> <tfoot>
#> <tr><td style="padding: 0; " colspan="100%"><span style="font-style: italic;">Note: </span></td></tr>
#> <tr><td style="padding: 0; " colspan="100%">
#> <sup></sup> Numbers in parentheses refer to standard errors. P-values for the treatment status are bootstrapped, so standard errors are not applicable.</td></tr>
#> <tr><td style="padding: 0; " colspan="100%">
#> <sup>1</sup> Numbers in brackets refer to the treated percentage</td></tr>
#> <tr><td style="padding: 0; " colspan="100%">
#> <sup>2</sup> Numbers in brackets refer to the number of treated clusters</td></tr>
#> </tfoot>
#> </table>
models_basic <- donut_models(inner = 2:4, outer = c(10, 20), ds = donut_data,
dep_var = "wealth_index", indep_vars = "age", fe = "id", se = "basic")
donut_summary(models_basic, sort_variables = TRUE)
#> <table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;border-bottom: 0;" class="table">
#> <caption>Regression results (4km inner radius)</caption>
#> <thead>
#> <tr>
#> <th style="text-align:left;"> </th>
#> <th style="text-align:center;"> (1) </th>
#> <th style="text-align:center;"> (2) </th>
#> </tr>
#> </thead>
#> <tbody>
#> <tr>
#> <td style="text-align:left;"> age </td>
#> <td style="text-align:center;"> −0.001 </td>
#> <td style="text-align:center;"> 0.000 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> </td>
#> <td style="text-align:center;"> (0.001) </td>
#> <td style="text-align:center;"> (0.000) </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> dist </td>
#> <td style="text-align:center;"> −0.023 </td>
#> <td style="text-align:center;"> −0.024 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;box-shadow: 0px 1.5px"> </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.046) </td>
#> <td style="text-align:center;box-shadow: 0px 1.5px"> (0.039) </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Num. Observations </td>
#> <td style="text-align:center;"> 6,703 </td>
#> <td style="text-align:center;"> 30,762 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> $R^2$ </td>
#> <td style="text-align:center;"> 0.003 </td>
#> <td style="text-align:center;"> 0.001 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Outer radius in km </td>
#> <td style="text-align:center;"> 10 </td>
#> <td style="text-align:center;"> 20 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> Treated<sup>1</sup> </td>
#> <td style="text-align:center;"> 1,804 </td>
#> <td style="text-align:center;"> 1,804 </td>
#> </tr>
#> <tr>
#> <td style="text-align:left;"> </td>
#> <td style="text-align:center;"> [26.91] </td>
#> <td style="text-align:center;"> [5.86] </td>
#> </tr>
#> </tbody>
#> <tfoot><tr><td style="padding: 0; " colspan="100%">
#> <sup></sup> + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001</td></tr></tfoot>
#> <tfoot>
#> <tr><td style="padding: 0; " colspan="100%"><span style="font-style: italic;">Note: </span></td></tr>
#> <tr><td style="padding: 0; " colspan="100%">
#> <sup></sup> Numbers in parentheses refer to standard errors. </td></tr>
#> <tr><td style="padding: 0; " colspan="100%">
#> <sup>1</sup> Numbers in brackets refer to the treated percentage</td></tr>
#> </tfoot>
#> </table>