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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)