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 ...

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

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 ...

Performance lags: Use parallel computing or optimize data handling. Optimization Tips: Use data.table for faster data manipulation. Profile code with profvis to identify bottlenecks. Conclusion.

The data file is located in the same directory as the source script. If you're new to R, you can think of a data frame as a table that has rows and columns. The data file contents are: 65,220 73,160 ...

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.

Anders, S., McCarthy, D., Chen, Y. et al. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor. Nat Protoc 8, 1765–1786 (2013 ...