Working with multi-proxy paleo-archive data can be difficult. There are multiple locations, multiple parameters, and a lot of discipline-specific norms for plot layout and notation. This package simplifies a few workflows to promote the use of R for reproducible documents in paleo-based studies.
You can install the released versio of tidypaleo from CRAN with:
You can install the development version from GitHub with:
# install.packages("remotes") remotes::install_github("paleolimbot/tidypaleo")
This package exposes a number of functions useful when creating stratigraphic diagrams, including
facet_abundanceh(), which combines several other functions to help create stratigraphic plots using ggplot2. The
geom_col_segsh() geometry draws horizontal segments, which are commonly used to show species abundance data.
library(ggplot2) library(tidypaleo) theme_set(theme_paleo()) ggplot(keji_lakes_plottable, aes(x = rel_abund, y = depth)) + geom_col_segsh() + scale_y_reverse() + facet_abundanceh(vars(taxon), grouping = vars(location)) + labs(y = "Depth (cm)")