R Improvements for Bio7 2.8
This article is originally published at https://bio7.org
The next release of Bio7 adds a lot of new R features and improvements. One minor change is that the default perspective after the startup of Bio7 now is the R perspective to emphazise the importance of R within this software.
The R-Shell view has been simplified and the R templates have been moved in it’s own simple view for an improved usability (see screenshot from R perspective below).
In addition the context menu has been enhanced to allow the creation of submenus from scripts found in folders and subfolders (recursively added) which you can create for a menu structure.
Java (with dependant classes) can be dynamically compiled and executed like a script, too.
Several improvements have also been added to the R-Shell and the R editor for an easier generation of valid R code. The R-Shell and the R editor now display R workspace objects with it’s class and structure in the code completion dialog (marked with a new workspace icon – see below).
In the R editor a new quick fix function has been added to detect and install missing packages (from scanned default packages folder of an R installation – has to be enabled in the Bio7 R code analysis preferences).
Also the detection of missing package imports are fixable (when a function is called but the installed package declaration is missing in the code but the package is installed to deliver the function).
The code assistance in the R-Shell and in the R editor now offers completions for, e.g., dataframes (columns) in the %>% operator of piped function calls:
In addition code assistance is available for list, vectors, dataframes and arrays of named rows and columns, etc., when available in the current R environment.
Code completion for package functions can now easily added with the R-Shell or the R editor which loads the package function help for both interfaces. The editor will automatically be updated (see updated editor marking unknown functions in screencast below).
Numerous other features, improvements and bugfixes have been added, too.
Bio7 2.8 will hopefully be available soon at:
Please visit source website for post related comments.