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Discover essential techniques for creating graphs in R, focusing on key graphical tools that enhance your data presentation. This guide covers the fundamentals: drawing lines and points, adding arrows, incorporating text, and customizing axis labels. Learn how to effectively manipulate various elements like margins and labels to improve your visual storytelling. Ideal for beginners and intermediate users, the recommendations also include vital planning and data preparation steps. Don’t get overwhelmed; take your graphing skills to the next level with this comprehensive overview.
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Creating Graphs in R Graphing techniques Sharon style! (I am not sure if this is a good or bad thing but this is what I do...)
Basic graphical tools that I use... • lines(x, y, lty = “solid”, lwd = 1) • points(x , y, pch = 16, cex = 1) • arrows(x0, y0, x1, y1, length, angle, code) • text(x, y, labels, adj) • mtext(text, side, line) • axis(side, at, labels)
lines() • This function is used to add lines to existing graphs. • The different line types are:
points() • This function is used to add points to existing graphs. • Some of the different points are:
arrows() • code= argument specifies which ends of the arrows have an arrow head. • code=1 produces a head at the start of arrow, • code=2 produces a head at the end of the arrow • code=3 produces a head at both ends.
text() • text() draws the strings (text) given in the vector labels at the coordinates given by x and y • Can be added to any part of the graph
mtext() Text is written in one of the four margins of the current figure region or one of the outer margins of the device region.
Elements of the graph • lines • points • arrows • text • mtext • axis
axis() • This function give you control over the axis labels. • I use this to add the labels etc that I want on the graph rather than using the default labels etc.
The most important thing... • Plan the process. • Prepare your data. • Work through getting one step correct before moving to the next step. • Don’t get overwhelmed by trying to do everything at once. • If you don’t succeed – try, try, try, try... again!
Useful links... • http://users.monash.edu.au/~murray/AIMS-R-users/ws/ws11.html • https://www.stat.auckland.ac.nz/~ihaka/120/Notes/ch03.pdf • www.zoologi.su.se/education/courseweb/statistics/Pimp_Your_Graph.pdf