Medical statistics using R in less than 90 minutes

An overview of R for statistics / biostatistics. Visit Rpubs at http://www.rpubs.com/juanhklopper for the RMD document or download it at https://github.com/juanklopper/R_statistics I support statistics education: http://www.juanklopper.com Deep learning using R: https://www.youtube.com/watch?v=9-QYsN_knG4&list=PLsu0TcgLDUiIKPMXu1k_rItoTV8xPe1cj Learn statistics: https://www.coursera.org/learn/clinical-research Learn Wolfram Language for statistics: https://www.udemy.com/mathematica-for-statistics/ Learn Mathematica: https://www.udemy.com/mathematica/ Learn python for biostatistics: https://www.udemy.com/biostatistics-fundamentals-using-python/ Learn Julia for scientific computing: https://www.coursera.org/learn/julia-programming In this video I introduce you to the fundamentals of R for biostatistics (and statistics in general). I start by showing you where to get R and Rstudio and then start with the fundamentals of R, doing simple arithmetic. In the video you will also learn to create your own simulated data, use packages to save and analyze your data as a tibble, how to import spreadsheet files, and how to conduct statistical tests through descriptive statistics, data visualization, and inferential statistics. At the end of this video you will be able to create or import your own data and analyze it through calculating common descriptive statistics and creating plots such as box-and-whisker plots, histograms, and scatter plots. You will also be able to conduct t-tests, create linear regression models, and analyze categorical data through the chi-squared test for independence.