Hi
I have found that:A) Hadley's new book to be wonderful on how to use dplyr,
ggplot2 and his other packages. Read this and using as a reference saves major
frustration.
b) Data Camps courses on ggplot2 are also wonderful. GGPLOT2 has more
capability than I have mastered or needed. To be an expert with ggplot2 will
take some effort. To just get run of the mill helpful, beautiful plots, no
major time needed for that.
I use both of these sources regularly, especially when what is in my grey
matter memory banks is not working. Refreshers are sometimes needed.
If your data sets are large and available memory limited, then data.table is
the package I use. I am amazed at the difference of memory usage with
data.table versus other packages. My laptop has 16gb ram, and tidyr maxed it
but data.table melt used less than 6gb(if I remember correctly) on my current
work. Since discovering fread and fwrite, read.table, read.csv, and write have
been benched. Every script I have includes library(data.table)
Carl Sutton
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