1

Review of Classmeeting 1~7

  • Review of lecture and demonstration video clips at https://goo.gl/ooLzjG (All In One Place)

  • Review of PowerPoint Slide of the class

  • Classmeeting 1 Outline of the Class (Refer at: http://rpubs.com/davidpassmore/203219
  • Classmeeting 2 Basic R Syntax and Commands/Importing & Exporting Data/Identifying & Converting Data
  • Classmeeting 3 Manipulating dataset- dplyr package (select/filter/arrange/mutate/group_by/summarrise)
  • Classmeeting 4 Visualization – ggplot2 package (grammar of ggplot2) data + geometry to represent the data, + aesthetic mapping of data to plot coordinate like position, color and size
  • Classmeeting 5 Basic Statistical Concepts and Decision-Making - population/sample, parameter/statistic, hypotheses (null-hypothesis/alternate hypotheses), Hypothesis testing, type 1&2 errors, t-test
  • Classmeeting 6 Contingency Table (crosstabulation), Linear regression

  • Classmeeting 7 RMarkdown

2

Be fully aware of R command, if you don’t remember them, you have to know where. In mid-term exam, you can use all kinds of sources, but you cannot consult with any other person. Therefore, you have to get familiar with syntax and commands, you have to know how to use the commands.

3

See and refer to Piazza site. You can see all kinds of solutions and study material. In addition, you can refer to other classmates’ solution.

4

The most important thing is that you can interpret the result of R. For example, you execute t-test in R. You can get the result. What is p-value, what is confidence interval? You have to know and apply the result.

5

When you see the mid term exam, you read the question carefully. You have to focus on the intentions of examiner. And, take your time, there is no hurry, there’s plenty of time.