Reputation: 4481
Why does the base R print()
function require a tibble when using the n = X
argument? It appears this is true from the examples below.
This does NOT work
library(tidyverse)
mtcars %>% print(n = 20)
#> Error in print.default(m, ..., quote = quote, right = right, max = max) :
#> invalid 'na.print' specification
This does work
mtcars %>% as_tibble() %>% print(n = 20)
#> # A tibble: 32 x 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> 11 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
#> 12 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3
#> 13 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3
#> 14 15.2 8 276. 180 3.07 3.78 18 0 0 3 3
#> 15 10.4 8 472 205 2.93 5.25 18.0 0 0 3 4
#> 16 10.4 8 460 215 3 5.42 17.8 0 0 3 4
#> 17 14.7 8 440 230 3.23 5.34 17.4 0 0 3 4
#> 18 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1
#> 19 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2
#> 20 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1
#> # ... with 12 more rows
Upvotes: 1
Views: 728
Reputation: 368241
Your first example is equivalent to print(mtcars, n=20)
-- which also fails.
Because mtcars
is a data.frame
your call dispatches on print.data.frame
. And as args(print.data.frame)
will tell you, there is no n=
argument in it.
In short, you got confused between a specific dispatch (I presume print.tbl
) with a more generic approach.
So a better title for the question might be 'Why does only the print method for tibbles have a n argument' -- for general use we commonly just invoke head
as in
R> head(mtcars)
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
R>
which of course also works in a pipelined expression.
Upvotes: 4