R Graph Essentials is a beginner’s course to learning about R graphics. This course will provide you with both a solid grounding in the so-called “base” graphics package in R as well as introducing elements from more sophisticated packages, such as lattice and ggplot2.
R Graph Essentials explains the basic functionality of R graphs in detail in order to familiarize you with how they work. The course starts with very basic R plot functions, first helping you to gain control of this function, then moving on towards various advanced plotting functions.
Different types of graphs are used to visualize different types of variables. The R Graph Essentials video course classifies these graphs and teaches them separately. This course is a compilation of tips and tricks related to the most efficient ways of drawing various types of graphs using basic R plotting functionality. Additionally, bivariate plots, time series, and high dimensional plots are also covered in this course. By the end of this course, you will be in a position to create your own ETL processes within a short amount of time.
The course offers a practical and interactive way to learn about R graphics, equipping you with the tools to draw informative statistical plots to effectively visualize your data.
Ehsan Karim is a statistics Ph.D. candidate at the University of British Columbia. His current research interest is in the methods that deal with time-dependent confounding in longitudinal observational studies. Additionally, he is interested in software implementation of methods related to causal inference. He has been a user of R for more than 15 years, and has more than 5 years of experience in teaching various statistical software packages.
Brief introduction to the course.
Produce an informative plot by adding various titles
Make the plot more informative and better looking by setting appropriate legends and margins
Include the necessary information, equations, and symbols in the plot
Make the plot look better
Save using the menu r command
Use various arguments of plot functions
Use the layout or par function
Use the col argument
Use the lty or lwd argument in plot functions
Use various arguments in plot functions
Plot a pie chart using the pie function
Plot a bar plot using the bar plot function
Use the paste and text functions
Plot a dot chart using the dot chart function
Use the stem function and other packages
Use the hist function
Use the density functions
Use the boxplot functions
Use a formula in a boxplot function
Draw a scatter plot
Use the abline and jitter functions
Use the lm and associated functions
Use the subset command
Use the scatterMatrix function and other packages
Use the plot function
Use the ts plot function and various packages such as zoo and forecast
Using the as Date function to convert to the date variable
Fit models using the lm, loess, or stl functions
Use the image, contour, and filled.contour functions
Use the Lattice package
Use the base package functions for surface plotting
Use Lattice and the rgl package
Use the scatterplot3d and car packages
Use the maps and maptools packages
Perform hierarchical cluster analysis on a set of dissimilarities in R
Install Rstudio and use it to perform R analyses
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