R packages


In this section, you’ll find R packages developed by STHDA for easy data analyses.


factoextra

factoextra let you extract and create ggplot2-based elegant visualizations of multivariate data analyse results, including PCA, CA, MCA, MFA, HMFA and clustering methods.

Overview >>
factoextra Site Link >>

survminer

survminer provides functions for facilitating survival analysis and visualization.

Overview >>
survminer Site Link >>

Releases: v0.2.4 |

ggpubr

The default plots generated by ggplot2 requires some formatting before we can send them for publication. To customize a ggplot, the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. ggpubr provides some easy-to-use functions for creating and customizing ‘ggplot2’- based publication ready plots.

Overview >>
ggpubr Site Link >>


Infos

This analysis has been performed using R software (ver. 3.3.2)









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Categories contained by this category :

Factoextra R Package: Easy Multivariate Data Analyses and Elegant Visualization
survminer R package: Survival Data Analysis and Visualization

Articles contained by this category :  

Add P-values and Significance Levels to ggplots
Bar plot of Group Means with Individual Observations
Bar Plots and Modern Alternatives
Facilitating Exploratory Data Visualization: Application to TCGA Genomic Data
ggpubr R Package: ggplot2-Based Publication Ready Plots
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