Business sciences

II An introduction to R • 3 Getting started with R  3.1 Installing R  3.2 Typing commands at the R console  3.3 Doing simple calculations with R  3.4 Storing a number as a variable  3.5 Using functions to do calculations  3.6 Letting Rstudio help you with your commands  3.7 Storing many numbers as a vector  3.8 Storing text data  3.9 Storing "true or false" data  3.10 Indexing vectors  3.11 Quitting R • 4 Additional R concepts  4.1 Using comments  4.2 Installing and loading packages  4.3 Managing the workspace  4.4 Navigating the le system  4.5 Loading and saving data  4.6 Useful things to know about variables  4.7 Factors  4.8 Data frames  4.9 Lists  4.10 Formulas  4.11 Generic functions  4.12 Getting help III Working with data • 5 Descriptive statistics  5.1 Measures of central tendency  5.2 Measures of variability  5.3 Skew and kurtosis  5.4 Getting an overall summary of a variable  5.5 Descriptive statistics separately for each group  5.6 Standard scores  5.7 Correlations  5.8 Handling missing values • 6 Drawing graphs  6.1 An overview of R graphics  6.2 An introduction to plotting  6.3 Histograms  6.4 Stem and leaf plots  6.5 Boxplots  6.6 Scatterplots  6.7 Bar graphs  6.8 Saving image using R and Rstudio • 7 Pragmatic matters  7.1 Tabulating and cross-tabulating data  7.2 Transforming and recoding a variable  7.3 A few more mathematical functions and operations  7.4 Extracting a subset of a vector  7.5 Extracting a subset of a data frame  7.6 Sorting  7.7 Reshaping a data frame  7.8 Working with text  7.9 Reading unusual data  7.10 Coercing data from one class to another  7.11 Other useful data structures  7.12 Miscellaneous topics • 8 Basic programming  8.1 Scripts  8.2 Loops

None

Strongly advised

Write a debug code in R

Lessons in presence to be held in a computer lab