• Beginner R for Public Health Practitioners and Researchers in Liberia

     

     

    Congratulations on successfully completing the course. See below for a comprehensive list of skills and concepts covered.

  • Week 1

    • Using R as a calculator

    • Recognizing the purposes of the R Studio panels

    • Demonstrating use of simple functions with single and multiple arguments

    • Creating vectors and data frames

    • Assigning names to vectors and data frames

    • Anticipating and assessing the dimensions of an object

    • Identifying appropriate search terms to reach the appropriate documentation for solving a coding problem

    • Determining the appropriate function to use to accomplish a pre-defined problem

    • Downloading necessary packages

    • Searching documentation in R Studio, search engines, and online discussion forums

    • Comprehending error messages and planning appropriate action

    Week 2

    • Anticipating and assessing the class of an object

    • Redefining the class of an object to satisfy requirements of a function

    • Using the is.XX and as.XX functions to coerce an object to a particular class and check the class

    • Describing what variables may need cleaning and planning the functions needed for implementation in R

    • Identifying the file path to set a working directory

    • Reviewing the data read into R via read.csv function to ensure formatting meets expectations

    • Reducing a data frame to a subset of variables

    • Reducing a data frame to a subset of observations

    • Using table to view responses captured in a character vector and identify anomalies

    • Isolating the rows where anomalies or data inconsistencies occur

    Week 3

    • Making space for new objects

    • Using the which function to subset and redefine existing variables

    • Creating embedded for and if loops to create loops based on conditional statements

    • Linking two datasets based on a common variable using the cbind() and merge() functions

    Week 4

    • Installing new packages

    • Understanding the ‘building blocks’ needed to create a ggplot object

    • Identifying reference materials with sample color schemes, geometries, and themes

    • Recognizing graph types suitable for different variable types

    • Critiquing figures based on information conveyed

    • Understanding the ‘building blocks’ needed to create a ggplot object

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