Drinks and lunch will be provided!
No previous programing skills required. BRING YOUR LAPTOP AND CHARGER!!
Fee is $5.00, pay by the door, or $4.15 online!
Schedule:
Session 1 ( 10:00 – 11:15) : Introduction to programming – Why programming; basic concepts in programming Introduction to R and RStudio – navigation in Rstudio, interaction with R, getting help etc.
Coffee break (11:15 – 11:30)
Session 2 ( 11:30 – 12:45) : Data structure in R – basic data types and structures in R; read data; Manipulation of data frames Control flow and repetition – conditional statement and loops
Lunch break (12:45 – 1:15)
Session 3 ( 1:15 – 2:30) : Functions and vectorization in R – How to write new functions and apply to all elements Explore data with summary, aggregation, correlations Making plots in R – R base plotting; ggplot (if time permits)
Coffee break (2:30 – 2:45)
Session 4 (2:45 – 4:00) : Basic data analysis – using base R: t tests, basic regression models Use R packages for data analysis: – intro to packages for biological and statistical analysis Output data – save data frames, plots, objects and workspaces – making data analysis report with knitr
(Time permitting) Introduction to command line
(Time permitting) – How to use command line programs – Write an R script – Good practices in programming
We hope to see you there!