MyPage is a personalized page based on your interests.The page is customized to help you to find content that matters you the most.


I'm not curious

Up and Running with R

Course Summary

Introduces the R statistical processing language, including how to install R, read data from SPSS and spreadsheets, analyze data, and create charts and plots.       


  • +

    Course Syllabus

    Introduction
       Welcome
       Using the exercise files
    1. What is R?
       R in context
    2. Getting Started
       Installing R on your computer
       Using RStudio
       Getting started with the R environment
       Reading data from a spreadsheet
       Reading data from SPSS
       Using and managing packages
    3. Charts and Statistics for One Variable
       Creating bar charts for categorical variables
       Creating histograms for quantitative variables
       Creating box plots for quantitative variables
       Calculating frequencies
       Calculating descriptives
    4. Modifying Data
       Recoding variables
       Computing new variables
    5. Charts for Associations
       Creating simple bar charts of group means
       Creating scatterplots
       Creating scatterplot matrices
       Creating 3D scatterplots
    6. Statistics for Associations
       Calculating correlations
       Computing a regression
       Creating crosstabs for categorical variables
       Comparing means with the t-test
       Comparing means with an analysis of variance (ANOVA)
    Conclusion
       Next steps
     


Course Fee:
USD 25

Course Type:

Self-Study

Course Status:

Active

Workload:

3 - 4 hours / week

This course is listed under Data & Information Management Community

Related Posts:

Attended this course?

Back to Top

Awards & Accolades for MyTechLogy
Winner of
REDHERRING
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
Hidden Image Url

Back to Top