R lets you slice your data sets in various ways, depending on the data type. To select just certain columns from a data frame, you can either refer to the columns by name or by their location (i.e ...

Values: Whenever you analyze surveys, this feature helps you to tell SPSS about the options presented to respondents. So ...

That R is rapidly augmenting or replacing other statistical analysis packages at universities, is being written about in The Register, The New York Times, and Forbes, and is exposing data analysis ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

Useful R packages in a handy searchable table. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

R is a free computing and graphical software/environment for statistical analysis. This short course is designed to provide a basic statistical analysis in R using two data. The first data set comes ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

As an example of competing risk analysis in R, we analyze data from 35 patients with acute leukaemia who underwent HSCT. We estimate the cumulative risk of relapse and TRM.