June 2020
Beginner to intermediate
522 pages
9h 6m
Chinese
Content preview from R 语言经典实例（原书第 2 版）
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有用的方法
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375
#> ..- attr(*, "class")= chr "qr"
#> $ df.residual : int 28
#> $ xlevels : Named list()
#> $ call : language lm(formula = y ~ x1)
#> $ terms :Classes 'terms', 'formula' language y ~ x1
#> .. ..- attr(*, "variables")= language list(y, x1)
#> .. ..- attr(*, "factors")= int [1:2, 1] 0 1
#> .. .. ..- attr(*, "dimnames")=List of 2
#> .. .. .. ..$ : chr [1:2] "y" "x1"
#> .. .. .. ..$ : chr "x1"
#> .. ..- attr(*, "term.labels")= chr "x1"
#> .. ..- attr(*, "order")= int 1
#> .. ..- attr(*, "intercept")= int 1
#> .. ..- attr(*, "response")= int 1
#> .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
#> .. ..- attr(*, "predvars")= language list(y, ...
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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.