March 2018
Intermediate to advanced
528 pages
13h 2m
Portuguese (Portugal, Brazil)
Content preview from R para Data Science
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Ambiente | 289
`+`
<- function
( x, y ) {
if( runif( 1 ) < 0.1 ) {
sum( x, y )
} else {
sum( x, y ) * 1.1
}
}
table
( replicate( 1000, 1 + 2
))
#>
#> 3 3.3
#> 100 900
rm
(
`+`
)
Esse é um fenômeno comum em R. O R impõe poucos limites ao seu poder. Nele é
possível fazer diversas coisas inviáveis em outras linguagens de programação. Você
pode realizar muitas ações que em 99% das vezes são extremamente não recomendadas
(como substituir o funcionamento da adição!). Mas esse poder e essa flexibilidade são
o que possibilita ferramentas como ggplot2 e dplyr. Aprender como fazer o melhor
uso dessa flexibilidade está além do escopo deste livro, mas você pode saber ma ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.