BioStatsBasics

Fall 2022

How to open command line instructions

Setup Option 1

• R & RStudio
  • Download and install R
  • Download and install RStudio, an Integrated Development Environment (IDE) for R
• Anaconda Python
  • Download and install Python 3.8 Anaconda
• Jupyter Notebooks
  • Automatically installed as part of Anaconda. More information at Project Jupyter.
  • To start the notebook server from the command line/command prompt type 'jupyter notebook'
  • If this doesn't work, you can type in the command line/command prompt 'conda install jupyter'
• Download R kernel for Juptyer notebook
  • Download and make available the kernel to Jupyter

Setup Option 2

• Anaconda Python
  • Download and install Python 3.8 Anaconda
• Open the command line (Mac) or command prompt (Windows) type in:
  • 'conda create -n R_class r-essentials r-base r-irkernel jupyter r-ggplot2 r-dplyr r-gtools'
  • 'conda activate R_class'
  • 'conda list' (this will list all of the packages you just installed)

Random variables, distributions, and sampling

• iPython notebook (RVDistSamp.ipynb) describes:

  • Random Variables: Discrete and Continuous Analysis
  • Cumulative Probability Distributions, Cumulative Density Functions, Probability Density Functions, and Probability Mass Functions
  • Central Limit Theorem

• Note: There is an equivalent R/R-studio file (RVDistSamp.R)

Intro to Inferential Statistics:Parametric and Non-Parametric

• iPython notebook (InferentialStats.ipynb) describes:

  • One Sample, Two Sample, and Paired Tests for Continuous and Discrete data
    • Parametric
    • Non-parametric

• Note: There is an equivalent R/R-studio file (InferentialStats.R)