Package: ggforestplot 0.1.0

Maria Kalimeri

ggforestplot: Forestplots of Measures of Effects and Their Confidence Intervals

A collection of functions, based on ggplot2, to plot forestplots of measures of effects, e.g. linear associations, with their confidence intervals.

Authors:Ilari Scheinin [aut], Maria Kalimeri [aut, cre], Vilma Jagerroos [aut], Juuso Parkkinen [aut], Emmi Tikkanen [aut], Peter Würtz [aut], Antti Kangas [aut], Nightingale Health Ltd. [cph, fnd]

ggforestplot_0.1.0.tar.gz
ggforestplot_0.1.0.zip(r-4.7)ggforestplot_0.1.0.zip(r-4.6)ggforestplot_0.1.0.zip(r-4.5)
ggforestplot_0.1.0.tgz(r-4.6-any)ggforestplot_0.1.0.tgz(r-4.5-any)
ggforestplot_0.1.0.tar.gz(r-4.7-any)ggforestplot_0.1.0.tar.gz(r-4.6-any)
ggforestplot_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ggforestplot/json (API)

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

Bug tracker:https://github.com/nightingalehealth/ggforestplot/issues

Datasets:

On CRAN:

Conda:

6.45 score 65 stars 434 scripts 15 exports 53 dependencies

Last updated from:547617e63f. Checks:7 ERROR, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR221
source / vignettesOK230
linux-release-x86_64ERROR217
macos-release-arm64ERROR150
macos-oldrel-arm64ERROR142
windows-develERROR151
windows-releaseERROR156
windows-oldrelERROR150
wasm-releaseOK137

Exports:discovery_regressiondisplay_ng_coloursdisplay_ng_palettesforestplotgeom_effectgeom_stripesng_colourng_palette_cng_palette_dplot_all_NG_biomarkersscale_colour_ng_cscale_colour_ng_dscale_fill_ng_cscale_fill_ng_dtheme_forest

Dependencies:backportsbase64encbroomclicpp11digestdplyrfarverfsgenericsggforceggplot2ggplotifyggstancegluegridExtragridGraphicsgtableisobandjsonlitelabelinglatticelazyevallifecyclemagrittrMASSMatrixpatchworkpillarpkgconfigplyrpolyclippurrrR6rappdirsRColorBrewerRcpprlangS7scalesstringistringrsurvivalsystemfontstibbletidyrtidyselecttweenrutf8vctrsviridisLitewithryulab.utils

NMR Data Analysis Tutorial
Overview | Prerequisites | Overview of Nightingale blood biomarker data | Rename alternative biomarker names | Association analysis | Join the blood biomarker data with other variables | Linear regression | Forest plot | Statistical significance for multiple testing | Cox proportional hazards regression | A forestplot for all Nightingale blood biomarkers | Final remarks | References
Rendered fromnmr-data-analysis-tutorial.Rmdusingknitr::rmarkdown

Last update: 2020-04-08
Started: 2019-03-02

Using ggforestplot
Overview | Installation | Usage | Adding information on statistical significance | Comparing several traits | Grouping the biomarkers | Plotting odds / hazard ratios
Rendered fromggforestplot.Rmdusingknitr::rmarkdown

Last update: 2020-04-08
Started: 2019-03-02