Читать книгу The Big R-Book - Philippe J. S. De Brouwer - Страница 246

To adjust the default behaviour of print on a tibble, run the function options as follows:

options(

tibble.print_max=n, # If there are more than n

tibble.print_min=m, # rows, only print the m first

# (set n to Inf to show all)

tibble.width = l # max nbr of columns to print

# (set to Inf to show all)

)

options()

Tibbles are also data frames, and most older functions – that are unaware of tibbles – will work just fine. However, it may happen that some function would not work. If that happens, it is possible to coerce the tibble back into data frame with the function as.data.frame().

tb <- tibble(c(“a”, “b”, “c”), c(1,2,3), 9L,9) is.data.frame(tb) ## [1] TRUE # Note also that tibble did no conversion to factors, and # note that the tibble also recycles the scalars: tb ## # A tibble: 3 x 4 ## `c(“a”, “b”, “c”)` `c(1, 2, 3)` `9L` `9` ## <chr> <dbl> <int> <dbl> ## 1 a 1 9 9 ## 2 b 2 9 9 ## 3 c 3 9 9 # Coerce the tibble to data-frame: as.data.frame(tb) ## c(“a”, “b”, “c”) c(1, 2, 3) 9L 9 ## 1 a 1 9 9 ## 2 b 2 9 9 ## 3 c 3 9 9 # A tibble does not recycle shorter vectors, so this fails: fail <- tibble(c(“a”, “b”, “c”), c(1,2)) ## Error: Tibble columns must have consistent lengths, only values of length one are recycled: ## * Length 2: Column ‘c(1, 2)’ ## * Length 3: Column ‘c(“a”, “b”, “c”)’ # That is a major advantage and will save many programming errors.