Package: fplot 1.1.0

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_1.1.0.tar.gz
fplot_1.1.0.zip(r-4.5)fplot_1.1.0.zip(r-4.4)fplot_1.1.0.zip(r-4.3)
fplot_1.1.0.tgz(r-4.4-x86_64)fplot_1.1.0.tgz(r-4.4-arm64)fplot_1.1.0.tgz(r-4.3-x86_64)fplot_1.1.0.tgz(r-4.3-arm64)
fplot_1.1.0.tar.gz(r-4.5-noble)fplot_1.1.0.tar.gz(r-4.4-noble)
fplot_1.1.0.tgz(r-4.4-emscripten)fplot_1.1.0.tgz(r-4.3-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'))

Peer review:

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

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

On CRAN:

4.20 score 16 stars 10 scripts 313 downloads 17 exports 5 dependencies

Last updated 1 years agofrom:2f585a358a. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-win-x86_64NOTEOct 25 2024
R-4.5-linux-x86_64NOTEOct 25 2024
R-4.4-win-x86_64NOTEOct 25 2024
R-4.4-mac-x86_64NOTEOct 25 2024
R-4.4-mac-aarch64NOTEOct 25 2024
R-4.3-win-x86_64OKOct 25 2024
R-4.3-mac-x86_64OKOct 25 2024
R-4.3-mac-aarch64OKOct 25 2024

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

Rendered fromExporting_graphs.Rmdusingknitr::rmarkdownon Oct 25 2024.

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