the coverage of julia’s cookbook by jalem rohit looks nice, but it is from mid-2016 and I know that julia has recently changed quite a bit. is it still recommendable?
 I am looking for a variety of short statistical analysis starter sessions for my students (and myself). as an example, my first task is
d <- read.csv( gzfile("a.csv.gz"), sep=",") print(summary(d)) m <- lm( d[,1] ~ abc, data=d ) ## abc is a column in d print( coef( m ) ) d <- within(d, r <- resids( m )) plot( d$abc, d$r ) write.csv( pipe( "bzip -c > a2.csv.gz" ) )
I asked questions like this before, but the answers were complex and julia is now so changed that I do not know what the right approach is. (and I don’t want to get my students started doing it wrong; and google still mixes in old julia links aplenty.)