Python packages: How to create and import them?
You have now created a function called sum.of.squares which requires two arguments and returns the sum of the squares of these arguments. Since you ran the code through the console, the function is now available, like any of the other built-in functions within R. Running sum.of.squares(3,4) will give you the answer 25. The procedure for writing any other functions is similar, involving three.
To add documentation to an R package, you need to create a subdirectory “man” containing a set of files, one per function, in a special R Documentation format (.Rd).These will be the source for the documentation for each function; R processes them to create plain text, PDF, and HTML versions.
There are many solutions to import and export Excel files using R software.The different ways to connect R and Excel has been already discussed in our previous article (R Excel essentials: Read, write and format Excel files using R). xlsx package is one of the powerful R packages to read, write and format Excel files.It is a java-based solution and it is available for Windows, Mac and Linux.
This includes packages used only in examples, tests or vignettes (see Writing package vignettes), and packages loaded in the body of functions. E.g., suppose an example 11 from package foo uses a dataset from package bar.
That’s why I decided to write my own package: language-scilab. Here we’ll write a similar package, for the language you want. We’ll see first how to initialize a brand new package with a.
The function edit dialog allows the number of outputs to be changed. If there is more than one output, an array of messages can be returned by the function to send to the outputs. This makes it easy to write a function that sends the message to different outputs depending on some condition.
Dismiss Join GitHub today. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.