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]

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ggforestplot.pdf |ggforestplot.html✨
ggforestplot/json (API)
NEWS

# 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:

df_NG_biomarker_metadata - Information and Grouping for Nightingale's Blood Biomarkers
df_demo_metabolic_data - Simulated Metabolic Data
df_grouping_all_NG_biomarkers - Example of Biomarker Grouping Data Frames for Nightingale Biomarkers
df_linear_associations - Linear Associations of Blood Biomarkers to BMI, HOMA-IR and Fasting Glucose
df_logodds_associations - Odds Ratios of Blood Biomarkers with Incident Type 2 Diabetes

On CRAN:

6.18 score 56 stars 270 scripts 15 exports 55 dependencies

Last updated 5 years agofrom:547617e63f. Checks:OK: 1 ERROR: 6. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 30 2024
R-4.5-win	ERROR	Oct 30 2024
R-4.5-linux	ERROR	Oct 30 2024
R-4.4-win	ERROR	Oct 30 2024
R-4.4-mac	ERROR	Oct 30 2024
R-4.3-win	ERROR	Oct 30 2024
R-4.3-mac	ERROR	Oct 30 2024

Exports:discovery_regression display_ng_colours display_ng_palettes forestplot geom_effect geom_stripes ng_colour ng_palette_c ng_palette_d plot_all_NG_biomarkers scale_colour_ng_c scale_colour_ng_d scale_fill_ng_c scale_fill_ng_d theme_forest

Dependencies:backports broom cli colorspace cpp11 digest dplyr fansi farver fs generics ggforce ggplot2 ggplotify ggstance glue gridExtra gridGraphics gtable isoband labeling lattice lazyeval lifecycle magrittr MASS Matrix mgcv munsell nlme patchwork pillar pkgconfig plyr polyclip purrr R6 RColorBrewer Rcpp RcppEigen rlang scales stringi stringr survival systemfonts tibble tidyr tidyselect tweenr utf8 vctrs viridisLite withr yulab.utils

NMR Data Analysis Tutorial

Nightingale Health Ltd.

Rendered fromnmr-data-analysis-tutorial.Rmdusingknitr::rmarkdownon Oct 30 2024.

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

Using ggforestplot

Nightingale Health Ltd.

Rendered fromggforestplot.Rmdusingknitr::rmarkdownon Oct 30 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Simulated Metabolic Data	df_demo_metabolic_data
Example of Biomarker Grouping Data Frames for Nightingale Biomarkers	df_grouping_all_NG_biomarkers
Linear Associations of Blood Biomarkers to BMI, HOMA-IR and Fasting Glucose	df_linear_associations
Odds Ratios of Blood Biomarkers with Incident Type 2 Diabetes	df_logodds_associations
Information and Grouping for Nightingale's Blood Biomarkers	df_NG_biomarker_metadata
Exploratory Analysis	discovery_regression
Draw a Forestplot of Measures of Effects	forestplot
Horizontal Study Effects with Confidence Intervals	geom_effect
Alternating Background Colour	geom_stripes
Nightingale's colours	display_ng_colours ng_colour
Nightingale's colour palettes	display_ng_palettes ng_palette_c ng_palette_d
Print a Forestplot for All Nightingale Biomarkers	plot_all_NG_biomarkers
Colour scale constructor for Nightingale colours	scale_colour_ng_c scale_colour_ng_d scale_fill_ng_c scale_fill_ng_d
Forestplot Theme	theme_forest