What are the ways to create an executable from R program.

R exp function, R exponential, raised to power calculation methods.

How to write an R package R packages are great for organizing your own work, not only sharing with others. See how to create an R package in a few simple steps, thanks to packages like devtools.

In R to write data into csv file we use the function write.csv() Reading From Excel(.xls and.xlsx) in R: Microsoft Excel is the most widely used spreadsheet program which stores data in the.xls or.xlsx format. R can read directly from these files using some excel specific packages.

The R programming syntax is extremely easy to learn, even for users with no previous programming experience. Once the basic R programming control structures are understood, users can use the R language as a powerful environment to perform complex custom analyses of almost any type of data.

Previously, we described the essentials of R programming and provided quick start guides for reading and writing txt and csv files using R base functions as well as using a most modern R package named readr, which is faster (X10) than R base functions.We also described different ways for reading data from Excel files into R.

If you are aspiring to write good R code, you may find it helpful to occasionally spend some time reading about writing: reading about writing R code, and reading about writing about R code that you’ve written. (If you write some excellent R code, you will likely have the opportunity to write about it.) For reading about writing good R code, a place to start might be one of the many R style.

The tutorial has shown us how to sort or order a data frame in R by using the order, an R’s built-in function and the arrange function of the plyr, dplyr package as well. We can see that the order function provides us flexible ways to sort a data frame in R while the arrange, orderBy functions are much easier.

Let’s start by trying to represent this scenario in R. We can use an if statement to write a program that prints out the winning team. If statements tell R to run a line of code if a condition returns TRUE. An if statement is a good choice here because it allows us to control which statement is printed depending on which outcome occurs.

A tutorial on loops in R that looks at the constructs available in R for looping. Discover alternatives using R's vectorization feature. This R tutorial on loops will look into the constructs available in R for looping, when the constructs should be used, and how to make use of alternatives, such as R’s vectorization feature, to perform your looping tasks more efficiently.

R Basics. Basics Functions Countdown User input Random number game Lists Reading data Filtering data. More Examples How to run the code Finding data sources. R Basics. To run the code paste it into an R console window.

Writing R Functions 36-402, Advanced Data Analysis 5 February 2011 The ability to read, understand, modify and write simple pieces of code is an essential skill for modern data analysis. Lots of high-quality software already exists for speci c purposes, which you can and should use, but statisticians.

Because most code is in plain text, you can write code using a basic word processor or text editor. However, it is much more effective to use a software application that is specifically designed.