Some of the packages that appeared in CRAN during June seem interesting. I haven’t tried them yet but have been listed at the R Views blog in Joseph Rickert’s regular column, which I recommend to anyone wanting to keep up to date on new packages.
rppo: Access the Global Plant Phenology Data Portal. An R interface to the Global Plant Phenology Data Portal, which is accessible online at <https://www.plantphenology.org/>.
spectralAnalysis: Pre-Process, Visualize and Analyse Process Analytical Data, by Spectral Data Measurements Made During a Chemical Process. Infrared, near-infrared and Raman spectroscopic data measured during chemical reactions, provide structural fingerprints by which molecules can be identified and quantified.
BiocManager: Access the Bioconductor Project Package Repository. A convenient tool to install and update Bioconductor packages.
pkgbuild: Find Tools Needed to Build R Packages. Provides functions used to build R packages. Locates compilers needed to build R packages on various platforms and ensures the PATH is configured appropriately so R can use them.
ssh: Secure Shell (SSH) Client for R. Connect to a remote server over SSH to transfer files via SCP, setup a secure tunnel, or run a command or script on the host while streaming stdout and stderr directly to the client.
from data to Viz is a new web site related to data analysis and R. Its aim is to make it easier to choose among different types of data visualisations. It looks beautiful, is easy to navigate, includes “trees” displaying a classification of visualizations and multiple individual examples with the corresponding R code. Highly recommended!
Package ‘gginnards’ is now in CRAN. This new package contains functions removed from ‘ggpmisc’ at version 0.3.0. The package was split as the audience the different functions are intended for is different: ‘gginnards’ is for those needing tools for programming ‘ggplot2’ extensions or wanting to learn how ggplots work. Most importantly, the functions now in ‘gginnards’ cannot be expected to survive with unchanged functionality across major updates to ‘ggplot2’, and importing them into other packages is strongly discouraged.
In contrast the functions retained in ‘ggpmisc’ and the new ones added in version 0.3.0 are intended for users creating plots for data analyses and reports. I am committed to maintaining ‘ggpmisc’ in the long term while striving to retain backwards compatibility as much as possible.