April 2021
Beginner to intermediate
404 pages
8h 15m
English
book
Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages
by Margot Tollefson
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Index
A
abline() function
absVal argument
add.smooth argument
adj argument
aes() function
Aesthetic arguments
Aesthetic functions
after_scale() function
after_stat() and after_scale() functions
aliases
alpha() function
Ancillary functions
angle argument
annotate() function
annotation_custom() function
Annotation functions
annotate()
annotation_logticks()
annotation_map()/annotation_raster()
definition
grob argument
annotation_logticks() function
annotation_map() function
annotation_raster() function
argument pch and Ity
Arguments, plot()
axes
box type/aspect ratio/expand plotting
character size
colors
dataset
label and axis limits
log scales
lwd/lend/ljoin/lmitre
points/lines
scatterplot
arrows() function
ask argument
aspect.ratio argument
at argument
atpen argument
auto_plot()
axis() ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.