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tibble.tidyverse.org
| | vctrs.r-lib.org
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| | 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
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| | 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
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| | These functions are variants of map() that iterate over two arguments at a time.
| | blog.stata.com
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| 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 [...]