RProgramming Training Course

Fundamentals Of R

• Installing R and RStudio.
• Installing and Activating R Packages.
• Setting the Working Directory.
• Basic Operations in R.
• Working With Variables.

Vectors

• Creating Vectors With the c() Function.
• Create Vectors Using the Colon Operator.
• Creating Vectors With the rep() Function.
• Create Vectors With the seq() Function.
• Create Empty Vectors.
• Indexing Vectors With Numeric Indices.
• Indexing Vectors With Logical Indices.
• Naming Vector Components.
• Filtering Vectors.
• The Functions all() and any().
• Sum and Product of Vector Components.
• Vectorized Operations.
• Treating Missing Values in Vectors.
• Sorting Vectors.
• Minimum and Maximum Values.
• The ifelse() Function.
• Adding and Multiplying Vectors.
• Testing Vector Equality.
• Vector Correlation.

Matrices and Arrays

• Creating Matrices With the matrix() Function.
• Create Matrices With the rbind() and cbind() Functions.
• Naming Matrix Rows and Columns.
• Indexing Matrices.
• Filtering Matrices.
• Editing Values in Matrices.
• Adding and Deleting Rows and Columns.
• Minima and Maxima in Matrices.
• Applying Functions to Matrices.
• Adding and Multiplying Matrices.
• Other Matrix Operations.
• Creating Multidimensional Arrays.
• Indexing Multidimensional Arrays.

LISTS

• Create Lists With the list() Function.
• Create Lists With the vector() Function.
• Indexing Lists With Brackets.
• Indexing Lists Using Objects Names.
• Editing Values in Lists.
• Adding and Removing List Objects.
• Applying Functions to Lists.

Factors

• Working With Factors.
• Splitting a Vector By a Factor Levels.
• The tapply() Function.
• The by() Function.

Data Frames

• Creating Data Frames.
• Loading Data Frames From External Files.
• Writing Data Frames in External Files.
• Indexing Data Frames As Lists.
• Indexing Data Frames As Matrices.
• Selecting a Random Sample of Entries.
• Filtering Data Frames.
• Editing Values in Data Frames.
• Adding Rows and Columns to Data Frames.
• Naming Rows and Columns in Data Frames.
• Applying Functions to Data Frames.
• Sorting Data Frames.
• Shuffling Data Frames.
• Merging Data Frames.

Programming Structures

• For Loops.
• While Loops.
• Repeat Loops.
• Conditional Statements.
• Nested Conditional Statements.
• Loops and Conditional Statements.
• User Defined Functions.
• The Return Command.
• More Complex Functions Examples.
• Checking Whether an Integer Is a Perfect Square.
• A Custom Function That Solves Quadratic Equations.
• Binary Operations.

Working With Strings

• Creating Strings.
• Printing Strings.
• Concatenating Strings.
• String Manipulation.
• Functions for Finding Patterns in Strings.
• Functions for Replacing Patterns in Strings.
• Regular Expressions.
• Plotting in Base R
• Building Scatterplot Charts.
• Setting Graphical Parameters.
• Adding a Trend Line to a Scatterplot.
• Building a Clustered Scatterplot.
• Plotting a Line Chart.
• Setting the Line Parameters.
• Overplotting Lines and Dots.
• Plotting Two Lines in the Same Chart.
• Plotting Bar Charts.
• Setting the Bar Parameters.
• Plotting Histograms.
• Plotting Density Lines.
• How to plot Pie Charts.
• Plotting Boxplot Charts.
• Plotting Functions.
• Exporting Charts.

Apply family

• Introduction to the apply family.
• Tapply and the by command.
• Eapply, sapply, lapply.
• Vapply, replicate, mapply.
• Rapply and summary.
• Apply family exercises.
• Apply family solutions.