ChronochRt

ChronochRt offers an easy way to draw chronological charts from tables. It aims to provide an intuitive environment for anyone new to R and includes ggplot2 geoms and theme for chronological charts.

Installation

ChronochRt is currently in the state of beta testing. You can install it from gitlab by:

 devtools::install_gitlab("roset/chronochrt")

and to include the vignette

 devtools::install_gitlab("roset/chronochrt", build_vignettes = TRUE)

Please help us to improve ChronochRt by filing observed bugs as an issue here.

Features

Slim structure of chronological datasets
Import tabular data files
Import Excel files (requires the package readxl)
Possibility to display up to 2 chronological systems within the same region (e.g. long and short chronologies)
Layout of the chronological chart optimised for easy readability and comprehensibility
Years in BCE must be negative - that’s all you need to care about dates
Handling of insecure dates
Handling of gaps, e.g. abandonment phases of sites
Optional text labels
Optional image labels to e.g. display key finds or show typological developments
Geoms for the chronological chart and image labels
Export of the chronological chart in different file formats (raster and vector graphics)
Easy customisation of the chronological chart
Based on the tidyverse: Seamless integration in pipes, enhanced customisation with ggplot2

Is there a feature missing? Please let us know here.

Example

library(ChronochRt)

data <- add_chron(region = "A",
                  name = c("A", "A1", "A2", "B"),
                  start = c(-200, -200, 0, -100),
                  end = c(200, 0, 200, 100),
                  level = c(1,2,2,1),
                  add = FALSE,
                  new_table = TRUE)

plot_chronochrt(data)

Getting started

Funding for the development of ChronochRt 0.0.5

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 766311.