JeanHung / R-for-Data-Science-Lunchbreak-Lessons

Source files for the LinkedIn Learning Course

Home Page:https://linkedin-learning.pxf.io/r_lunchbreak

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R Language Mini Tutorials

Source files for the LinkedIn Learning Course

Programming is learned in small bits. You build on basic concepts. You transfer the knowledge you already have to the next language. Lunch Break Lessons teaches R—one of the most popular programming languages for data analysis and reporting—in short lessons that expand on what existing programmers already know.

The five minutes you spend each week will provide you with a building block you can use in the next two hours at work. Review language basics, discover methods to improve existing R code, explore new and interesting features, and learn about useful development tools and libraries that will make your time programming with R that much more productive.

Copyright Mark Niemann-Ross, 2017 - join the discussion - My LinkedIn Profile - My Github account - More of my courses at LinkedIn Learning - niemannross.com

Index to topics covered in my LinkedIn Learning R courses

apply
apropos
array
barplot()
cbind
change variable
character
complex
create variable
data()
data.frame
delete variable
dimnames
factor
integer
lapply
levels()
list
logical
matrix
merge
nlevels()
order
ordered()
raw
rbind
real
sort
str()
string
sum()
t()
table()
vector math
vector subsetting
vectors

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Source files for the LinkedIn Learning Course

https://linkedin-learning.pxf.io/r_lunchbreak

License:GNU General Public License v3.0


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