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Like the original R language it does, the R# system just provides a runtime to running the R# script program and the framework to attatch the external library modules code to extends the function of the entire R# system. Most of the data scientific function(example like scientific data file read/write, math function, clustering function, graphics plot function) in R# is implemented at 3rd part library. There are two kind of the package type in R# system:

  1. Single dll package module
  2. Nuget liked zip source package

Now, lets start to learn about these two kind of the package type that we could build for the R# system.

1. Create a single .NET dll package module

For create a single .NET dll package module, you just needs to tag some custom attribute for R# system to imports functions in your .NET class project. It is very simple, here is how:

as you can see on the above screenshot of the demo code, we have two kind of custom attributes that is required for tag on the code of your dll module:

  • PackageAttribute: this custom attribute is used for tag the target class module is a package module in R# system. The target class must be a standard module in VisualBasic project and the class should be sealed in C#.
  • ExportAPIAttribute: this custom attribute is used for tag the target function in current package module is a R# function that can be imported into the runtime.

Metaprogramming in R# package

except those two custom attribute that we mention above for create a package module, there are another custom attributes that can be used in the dll mdoule development for modify the behaviour of R# interpreter:

Mark dll module as R# package

there is a special custom attribute that can be apply on the assembly object. RPackageModule

such custom attribute is useful when we generate the help document for our dll mdoule.

Module startup

zzz.vb or zzz.cs and then there is a static method named onLoad inside the zzz module, then it will be treated as the startup module in your dll module file.

Note about function parameters

There are some kind of special parameter types in R# system:

  • RRawVectorArgumentAttribute

How to install the dll module

assuming that we have the R# system install at a directory location, then your dll package module can be put on some special location liked:

| .../bin/<R# runtime it is>
| .../bin/library/your.dll
| .../bin/Library/your.dll
| .../bin/your.dll
+ /library/your.dll
+ /Library/your.dll

Use the dll module in R# script

based on the situation of your .NET dll module file is registered inside the R# package system or not, then we have two method for attatch the dll package module into the R# runtime:

for a .NET dll package module is already registered inside the R# package system, then we can load a specific package module inside the dll file directly via the require or library function. These two function have the exactly same function to attach a package module but still have some distinct point, example as:

# the require function accept a static package 
# name symbol which means you can not change the 
# package target at runtime.
require(JSON);
# the library function accept a character vector
# for attatch the target packages, which means 
# you can put a variable symbol at here to change
# the package target at runtime.
library("JSON");

for a .NET dll package module that didn't register into the R# package system, then we use the imports directive:

# for imports some specific package module 
# inside a dll file
imports "package" from "dllfile";
# imports multiple package modules at once
imports ["pkg1", "pkg2", "pkg3"] from "dllfile";
# imports all package modules inside the given dll file
imports "*" from "dllfile";

the dllfile in the imports directive that could be the base name of the dll module file if the dll is inside the directory of R# where it is or the library folder. it also can be the dll file full path if the dll file is in a folder location which is very different with the R# system.

2. Create a nuget liked zip source package

the R# system also supports install a package in zip archive format, such package is kind of the original R package liked, contains various files inside this package archive:

  • data: any kind of the asset files or resource file of the R# package
  • assembly: the .NET dll package module
  • R: the R# source script

The source project directory layout

For create such source package for R# system, we recommended that start with the R# function package.skeleton, example as:

package.skeleton(name='demoPackage', path = '/demo/pkg_test')
# Creating directories ...
# Creating DESCRIPTION ...
# Creating NAMESPACE ...
# Creating Read-and-delete-me ...
# Saving functions and data ...
# Making help files ...
# Done.
# Further steps are described in '/demo/pkg_test/demoPackage/Read-and-delete-me'.

# $ ls -l
# total 3
# -rw-r--r-- 1 Administrator 197121 296 Aug 10 21:56 DESCRIPTION
# -rw-r--r-- 1 Administrator 197121  33 Aug 10 21:56 NAMESPACE
# drwxr-xr-x 1 Administrator 197121   0 Aug 10 21:56 R/
# -rw-r--r-- 1 Administrator 197121 426 Aug 10 21:56 Read-and-delete-me
# drwxr-xr-x 1 Administrator 197121   0 Aug 10 21:56 data/
# drwxr-xr-x 1 Administrator 197121   0 Aug 10 21:56 man/

the function invoke that show above that will create a blank source project folder that contains the necessary project files to run a R# package build:

  • DESCRIPTION: the file that contains the necessary meta data about the R# package
  • NAMESPACE: a file that defines the rules for export function from current R# package

base on the two file that we could build a basically(or blank) R# package without any code or data, it can be loaded in the R# runtime.

details about the DESCRIPTION file

The DESCRIPTION file is a kind of vbproj liked metadata file: all of the required package metadata information is contains in this metadata file, example as:

Package: ggplot
Type: Package
Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Version: 1.0.0.1254
Date: 2021-01-25
Author: xieguigang
Maintainer: xieguigang <gg.xie@bionovogene.com>
Description: A R language ggplot2 package liked grammar of 
    graphics library for R# language programming.
License: MIT
RoxygenNote: 7.1.1

The example metadata about target R# source package will be transform as the nuget package metadata file and index json file when we build a new zip package file:

<?xml version="1.0" encoding="utf-8"?>
<package xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns="http://schemas.microsoft.com/packaging/2013/05/nuspec.xsd">
   <metadata>
      <id>ggplot</id>
      <title>Create Elegant Data Visualisations Using the Grammar of Graphics</title>
      <version>1.0.0.1254</version>
      <authors>xieguigang</authors>
      <requireLicenseAcceptance>true</requireLicenseAcceptance>
      <license type="expression">MIT</license>
      <description>A R language ggplot2 package liked grammar of
    graphics library for R# language programming.</description>
      <copyright>MIT</copyright>
      <dependencies>
         <group targetFramework="net6.0">
            <dependency id="ggplot2" version="1.0.0.0" exclude="Build,Analyzers" include="ggplot" />
            <dependency id="ggplot3" version="1.0.0.0" exclude="Build,Analyzers" include="ggplot" />
         </group>
         <group targetFramework="net6.0">
            <dependency id="ggraph" version="1.0.0.0" exclude="Build,Analyzers" include="ggraph" />
            <dependency id="ggforce" version="1.0.0.0" exclude="Build,Analyzers" include="ggraph" />
         </group>
      </dependencies>
      <frameworkAssemblies>
         <frameworkAssembly assemblyName="ggplot" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="ggraph" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Data.ChartPlots" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Data.Framework" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Data.GraphTheory" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Data.visualize.Network" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Data.visualize.Network.IO.Extensions" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Data.visualize.Network.Visualizer" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Imaging" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Imaging.Physics" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Math.Core" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Math.Statistics.ANOVA" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.Math.Statistics" targetFramework="net6.0" />
         <frameworkAssembly assemblyName="Microsoft.VisualBasic.MIME.Html" targetFramework="net6.0" />
      </frameworkAssemblies>
      <language>en-US</language>
   </metadata>
</package>

the xml metadata file is located at the root directory of your zip package, and its content can be parsed and index in nuget package system. the file name of this xml metadata file is usually be the package_name.nuspec. the metadata json file is located at the built zip package file package/index.json:

{
  "Author": "xieguigang",
  "Date": "2021-01-25",
  "Description": "A R language ggplot2 package liked grammar of\r\n    graphics library for R# language programming.",
  "License": "MIT",
  "Maintainer": "xieguigang <gg.xie@bionovogene.com>",
  "Package": "ggplot",
  "Title": "Create Elegant Data Visualisations Using the Grammar of Graphics",
  "Type": "Package",
  "Version": "1.0.0.1254",
  "meta": {
    "RoxygenNote": "7.1.1",
    "builtTime": "9\/10\/2022 9:45:20 PM",
    "os_built": "Microsoft Windows NT 10.0.19044.0"
  }
}

Magic trick about package startup

zzz.R and named .onLoad method

# zzz.R

const .onLoad = function() {
   # you can write the startup message of your package at here
   # do some package environment initialization operation
}

For example, you can config the runtime constant/options/required package loading at this package startup function. So you can make your R# package code structure more elegant by utilizing this special startup function.

Build package

You can run build of the zip package that we learn above via the Rscript tool from the commandline:

Rscript --help --build

# '--build' - build R# package
# Usage:
#
#    Rscript --build [/src <folder, default=./> --skip-src-build /save <Rpackage.zip>]
#

the --build command of the Rscript tool contains sevral optional arguments:

  • /src specific the directory path to the package project folder, the folder path should be the parent path of the project DESCRIPTION meta data file. the current work directory path will used if this argument is missing from the commandline.
  • --skip-src-build argument used for skip run msbuild if the package compiler found a visualstudio sln solution file inside the directory root or inside the src folder(This function needs the msbuild environment for .NET 6.0 has been installed on your system).
  • /save argument used for specificed the zip package save path. the zip package will be save with the name pattern of "package_name_version.zip" in the project folder its parent folder by default if this argument is missing.

Install package

Both of the .NET dll package module or the zip archive package that we learn above can be installed into the R# system via the R# --install.packages from the commandline or the install.packages function at script runtime.

install from the commandline

For install the package modules from the commandline, that we can use the --install.packages command from the R# interpreter:

R# --help --install.packages

# '--install.packages' - Install new packages
# Usage:
#
#  R# --install.packages /module <*.dll/*.zip> [--verbose]
#

# example as
R# --install.packages "/path/to/package.zip"
R# --install.packages "/path/to/library.dll"

NOTE:

  1. the commandline switch /module can be omit.
  2. the library location of the zip package its installation result is different between the Windows and UNIX environment. On windows environment, the library location that you package installed will be in the directory of the current drive: <drive_letter>:\etc\r_env\library. And the library location that your package installed on the UNIX environment will be: /etc/r_env/library.
  3. the dll module file is recommended copy to the bin folder of the R# interpreter due to the reason of dll module file its file location is not move or copy to another folder automatically when install it into R# environment

install from the script function

despite install the R# package module file from the commandline, we also can accomplish such module installation work at script runtime via the install.packages function. The module installer function accept a parameter value of the module file path, the module file could be a zip package file or the .NET 6.0 dll module file:

install.packages("/path/to/package.zip");
install.packages("/path/to/library.dll");
谢桂纲
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  1. 空间Spot结果在下载到的mzkit文件夹中有示例吗?我试了试,不是10X结果中的tissue_positions_list.csv(软件选择此文件,直接error);在默认结果中也没找到类似的文件;