Package: fplot 1.1.1

fplot: Automatic Distribution Graphs Using Formulas

Easy way to plot regular/weighted/conditional distributions by using formulas. The core of the package concerns distribution plots which are automatic: the many options are tailored to the data at hand to offer the nicest and most meaningful graphs possible -- with no/minimum user input. Further provide functions to plot conditional trends and box plots. See <https://lrberge.github.io/fplot/> for more information.

Authors:Laurent Berge [aut, cre]

fplot_1.1.1.tar.gz
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fplot_1.1.1.tgz(r-4.6-x86_64)fplot_1.1.1.tgz(r-4.6-arm64)fplot_1.1.1.tgz(r-4.5-x86_64)fplot_1.1.1.tgz(r-4.5-arm64)
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fplot_1.1.1.tgz(r-4.5-emscripten)
fplot.pdf |fplot.html✨
fplot/json (API)
NEWS

# Install 'fplot' in R:
install.packages('fplot', repos = c('https://lrberge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lrberge/fplot/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

5.03 score 18 stars 12 scripts 351 downloads 17 exports 5 dependencies

Last updated from:a35570fa67. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK127
linux-devel-x86_64OK131
source / vignettesOK180
linux-release-arm64OK118
linux-release-x86_64OK128
macos-release-arm64OK142
macos-release-x86_64OK230
macos-oldrel-arm64OK160
macos-oldrel-x86_64OK250
windows-develOK156
windows-releaseOK163
windows-oldrelOK145
wasm-releaseOK118

Exports:bmp_fitexport_graph_endexport_graph_startfit.offgetFplot_dictgetFplot_distrgetFplot_pagejpeg_fitpdf_fitplot_boxplot_distrplot_linespng_fitsetFplot_dictsetFplot_distrsetFplot_pagetiff_fit

Dependencies:data.tabledreamerrFormulaRcppstringmagic

Exporting graphs

Laurent Berge

Rendered fromExporting_graphs.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2023-08-24
Started: 2020-05-07