Explore >> Select a destination
|
You are here 
|
tibble.tidyverse.org | ||
| | | | |
vctrs.r-lib.org
|
|
| | | | | vec_as_names() takes a character vector of names and repairs it according to the repair argument. It is the r-lib and tidyverse equivalent of base::make.names(). vctrs deals with a few levels of name repair: minimal names exist. The names attribute is not NULL. The name of an unnamed element is "" and never NA. For instance, vec_as_names() always returns minimal names and data frames created by the tibble package have names that are, at least, minimal. unique names are minimal, have no duplicates, and ca... | |
| | | | |
readr.tidyverse.org
|
|
| | | | | read_csv() and read_tsv() are special cases of the more general read_delim(). They're useful for reading the most common types of flat file data, comma separated values and tab separated values, respectively. read_csv2() uses ; for the field separator and , for the decimal point. This format is common in some European countries. | |
| | | | |
purrr.tidyverse.org
|
|
| | | | | These functions are variants of map() that iterate over two arguments at a time. | |
| | | | |
blog.stata.com
|
|
| | | You have a model that is nonlinear in the parameters. Perhaps it is a model of tree growth and therefore asymptotes to a maximum value. Perhaps it is a model of serum concentrations of a drug that rise rapidly to a peak concentration and then decay exponentially. Easy enough, use nonlinear regression ([R] nl) to [...] | ||
