The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable ...

Reading data for competing risk analysis in R As an example of competing risk analysis in R, we analyze data from 35 patients with acute leukaemia who underwent HSCT.

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

Now that you've got a good sense of how to "speak" R, let's use it with linear regression to make distinctive predictions. The R system has three components: a scripting language, an interactive ...

Integrative analysis of multiple data types is perhaps the least standardizable task in genomic data analysis, where the need for a flexible working environment in a high-level language such as R ...

DataCamp’s data science bootcamps aim to provide practical, hands-on experience in areas such as statistics, programming, machine learning, data analysis and data visualization.