Dear Allstat Community,
Check out my blog, The Chemical Statistician, to learn how to build
kernel density plots and rug plots in R! These plots combine to give
a useful visualization of the underlying probability distribution of a
data set. Fully explained and commented code in R is provided, and it
is readily usable for you to copy and paste for your own univariate
data with missing values!
http://wp.me/p3bFTa-gZ
This is the fourth post in The Chemical Statistician's series on exploratory
data analysis using univariate data sets on ozone pollution with missing
values. I previously wrote about
- conceptual foundations of kernel density estimation for exploratory
data analysis
http://wp.me/p3bFTa-ei
- creating box plots in R
http://wp.me/p3bFTa-dS
- computing summary statistics in R
http://wp.me/p3bFTa-dA
________________________
Eric Cai
The Chemical Statistician
http://chemicalstatistician.wordpress.com/
Twitter: @chemstateric
https://twitter.com/chemstateric
LinkedIn: http://www.linkedin.com/in/caieric
http://ca.linkedin.com/in/caieric/
M.Sc.
Statistics
University of Toronto
B.Sc. with Distinction
Chemistry and Mathematics
Simon Fraser University
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