1.R Programming Course A-Z™: R For Data Science With Real Exercises (Udemy) This is one of the best R programming tutorials that help you master programming in R and R studio with live examples. You will learn data analytics, data science, statistical analysis, packages, functions, GGPlo...
K. edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010). CAS PubMed Google Scholar Anders, S. & Huber, W. Differential expression analysis for sequence count data. Genome Biol. 11, R106 (2010). CAS PubMed ...
The post The best R package for learning to “think about visualization” appeared first on SHARP SIGHT LABS. Related 7 Must-Have Skills to Get a Job as a Data Scientist April 20, 2021 In "R bloggers" Why you should start by learning data visualization and manipulation One of the biggest...
RDQA is a R package for Qualitative Data Analysis, a free qualitative analysis software application (BSD license). It works on Windows, Linux/FreeBSD and Mac OSX platforms. RQDA is an easy to use tool to assist in the analysis of textual data. At the moment it only supports plain text ...
R To download and installBeSSfrom CRAN: Or try the development version on GitHub: Wen, C., Zhang, A., Quan, S., & Wang, X. (2020). BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models. Journal of Statistical Software, 94(4), 1 - ...
Very popular in finance and academia, R is a perfect language for data manipulation, processing, visualization, statistical computing, and machine learning. R has a large community of users and a vast collection of specialized libraries for data analysis and machine learning. Some of the most ...
statsmodels - Python module that allows users to explore data, estimate statistical models, and perform statistical tests. dynts - A statistic package for python with emphasis on time series analysis. Built around numpy, it provides several back-end time series classes including R-based objects via...
Stata is a unified software which provides you with the complete package required for data analysis, management and graphics.It is one of the most important softwares available online for statistical analysis. Features: With both point-and-click interface and a powerful intuitive command syntax, Stat...
encoding="UTF-16". Users building R from source should avoid using the system libiconv in macOS 14.1 and later. methods' internal .requirePackage() now re-enables primitive method dispatch when needed; thanks to Ivan Krylov for demystifying CRAN package check failures on the R-devel mailing ...
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Python Data Science Handbook: Essential Tools for Working with Data An Introduction to Statistical Learning: with Applications in R Deep Learning (Adaptive Computation and Machine Learning series) Practical Statistics for Data Scie...