Package: ggfixest 0.4.0.99
ggfixest: Dedicated 'ggplot2' Methods for 'fixest' Objects
Provides 'ggplot2' equivalents of fixest::coefplot() and fixest::iplot(), for producing nice coefficient plots and interaction plots. Enables some additional functionality and convenience features, including grouped multi-'fixest' object faceting and programmatic updates to existing plots (e.g., themes and aesthetics).
Authors:
ggfixest_0.4.0.99.tar.gz
ggfixest_0.4.0.99.zip(r-4.7-any)ggfixest_0.4.0.99.zip(r-4.6-any)ggfixest_0.4.0.99.zip(r-4.5-any)
ggfixest_0.4.0.99.tgz(r-4.6-any)ggfixest_0.4.0.99.tgz(r-4.5-any)
ggfixest_0.4.0.99.tar.gz(r-4.7-any)ggfixest_0.4.0.99.tar.gz(r-4.6-any)
ggfixest_0.4.0.99.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ggfixest/json (API)
| # Install 'ggfixest' in R: |
| install.packages('ggfixest', repos = c('https://grantmcdermott.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/grantmcdermott/ggfixest/issues
Pkgdown/docs site:https://grantmcdermott.com
Last updated from:068f3861c4. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 212 | ||
| source / vignettes | OK | 208 | ||
| linux-release | OK | 154 | ||
| macos-release | OK | 150 | ||
| macos-oldrel | OK | 92 | ||
| windows-devel | OK | 107 | ||
| windows-release | OK | 110 | ||
| windows-oldrel | OK | 74 | ||
| wasm-release | OK | 127 |
Exports:aggr_esggcoefplotggiplotiplot_data
Dependencies:backportscheckmateclicpp11data.tabledreamerrfarverfixestFormulagenericsggplot2gluegtableinsightisobandlabelinglatticelegendrylifecyclemarginaleffectsMatrixnlmenumDerivR6RColorBrewerRcpprlangS7sandwichscalesstringmagicvctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Aggregates event-study treatment effects. | aggr_es |
| Draw coefficient plots and interaction plots from 'fixest' regression objects. | ggcoefplot ggiplot |
| Internal function for grabbing and preparing iplot data. | coefplot_data iplot_data |
