When: Wednesdays at 12:00 noon
Where: Vail 513
Purpose: Enhancing data analysis skills; facilitating collaborative bioinformatics and biostatistical research with an emphasis on R.
Everyone is welcome! Lunch is provided.
Contact: Katja Koeppen
What is R?
- R is a general-purpose statistical programming environment you can download for free. It works on a wide variety of computer platforms including Windows, Mac and linux. R Studio makes R substantially easier to use.
- R can be augmented by downloading up to 15,000 task-specific CRAN packages to perform a wide array of analytical tasks. Bioconductor con
tains addition packages (1,741) annotations (948) experimental data (371) and workflows (27) relevant to
Needless to say, R is extremely powerful, and one of the things we do in R Club is help people become acquainted with what R can do. We emphasize hands-on presentations to provide R learners of all levels new experience and practice analyzing data and sharing their knowledge.
Topics covered in 2018-2019 included:
- Choosing The Right Statistical Approach
- Conceptual introduction to Linear Models for Biomedical Research
- Subsetting R Data Frames Using grep() and Logic Statements
- Machine Learning Approaches
- Using base R, gplots, and ggplot2 to Visualize a Complex Experiment
- Power Calculation in R
- Hierarchical Clustering and PCA in R
- Automating R Analyses Using Apply
- Transcriptomics of Staphylococcus aureus in R
- Single-cell Seq data exploration in R
- Data Normalization, Philosophy and Practice in R
- R in the lab – Assessing Correlation
- Rentrez: Using R to Collect Data From NCBI
- Analyzing Bacterial Growth Curve Data in R
- Practice with Familiar Statistical Tests
- Data Wrangling
- Using CART Models to Link Data to Outcomes
- Differential Gene Expression Analysis Experience
- Experience using R to analyze microbiome data
- BioMart shopping with the biomaRt package
- Dose Response Curve Estimation in R
R scripts and slides are available on our Slack group.
Projects R Club participants have been working on include ScanGEO and PAPE.