expand() generates all combination of variables found in a dataset. It is paired with nesting() and crossing() helpers.

4 мая 2018 г. · I want an ID column containing values 1 and 2. How do I expand the above data frame so that the final data frame looks something like this? Using dplyr expand to obtain combination of variables present ... R: expand and fill data frame by date in series - Stack Overflow Expand dataset by count column in Dplyr - Stack Overflow How to expand a data frame by filling range of value using dplyr Другие результаты с сайта stackoverflow.com

Description. expand() is often useful in conjunction with left_join if you want to convert implicit missing values to explicit missing values.

Returns a tibble, not a data frame. Never converts strings to factors. Does not add any additional attributes. Can expand any generalised vector, including data ...

The expand() function creates a tibble from combinations of input values. In a simple incantation, we can expand on a single variable:

Description. expand() is often useful in conjunction with left_join if you want to convert implicit missing values to explicit missing values.

Expand data frame to include all possible combinations of values #' #' @description #' `expand()` generates all combination of variables found in a dataset.

To find all unique combinations of x , y and z , including those not present in the data, supply each variable as a separate argument: expand(df, x, y, z) . To ...

Expand data frame to include all possible combinations of values. Description. expand() generates all combination of variables found in a dataset.

This is a wrapper around expand(), dplyr::full_join() and replace_na() that's useful for completing missing combinations of data.