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:
install.packages("tidypaleo")
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)")