Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. It explains how to perform descriptive and inferential statistics, linear and logistic regression, time series, variable selection and dimensionality reduction, classification, market basket analysis, random forest, ensemble technique, clustering and more.Mine Çetinkaya-Rundel is Professor of the Practice at Duke University and Developer Educator at RStudio. These tutorials cover various data mining, machine learning and statistical techniques with R. Convert Categorical Variables to Numeric.Creating Dummy Columns From Categorical Variables.Extracting Numeric and Factor Variables.Converting multiple numeric variables to factor.Delete columns where certain % of missing values.Convert Backslash File Path to Forward Slash.Data Manipulation with data.table package.Programming is similar in both the platforms. In layman’s term, RStudio is just an interface enhancement to standard R. It is available in open source for FREE. Unlike standard R, it supports various premium features such as intelligent code completion, syntax highlighting, structured R documentation, interactive debugging tool etc.
RStudio was built to make your life easy as a R programmer. What is RStudio and its benefits over standard R? Building online dynamic reports or dashboardsĭownload best IDE for R i.e.Applying machine learning and text mining algorithms.Building and validating predictive models.You can perform a variety of tasks using R language. R is a free language and environment for statistical computing and graphics. Some of big IT companies such as Microsoft and IBM have also started developing packages on R and offering enterprise version of R. R programming language is getting powerful day by day as number of supported packages grows. It’s popularity is claimed in many recent surveys and studies. R language is the world’s most widely used programming language for statistical analysis, predictive modeling and data science.
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