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Fix name in pivotting column (#1418)

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Hadley Wickham 2023-04-10 10:55:51 -05:00 committed by GitHub
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@ -360,7 +360,7 @@ There are two columns that are already variables and are easy to interpret: `cou
They are followed by 56 columns like `sp_m_014`, `ep_m_4554`, and `rel_m_3544`. They are followed by 56 columns like `sp_m_014`, `ep_m_4554`, and `rel_m_3544`.
If you stare at these columns for long enough, you'll notice there's a pattern. If you stare at these columns for long enough, you'll notice there's a pattern.
Each column name is made up of three pieces separated by `_`. Each column name is made up of three pieces separated by `_`.
The first piece, `sp`/`rel`/`ep`, describes the method used for the diagnosis, the second piece, `m`/`f` is the `gender` (coded as a binary variable in this dataset), and the third piece, `014`/`1524`/`2534`/`3544`/`4554`/`5564/``65` is the `age` range (`014` represents 0-14, for example). The first piece, `sp`/`rel`/`ep`, describes the method used for the diagnosis, the second piece, `m`/`f` is the `gender` (coded as a binary variable in this dataset), and the third piece, `014`/`1524`/`2534`/`3544`/`4554`/`5564`/`65` is the `age` range (`014` represents 0-14, for example).
So in this case we have six pieces of information recorded in `who2`: the country and the year (already columns); the method of diagnosis, the gender category, and the age range category (contained in the other column names); and the count of patients in that category (cell values). So in this case we have six pieces of information recorded in `who2`: the country and the year (already columns); the method of diagnosis, the gender category, and the age range category (contained in the other column names); and the count of patients in that category (cell values).
To organize these six pieces of information in six separate columns, we use `pivot_longer()` with a vector of column names for `names_to` and instructors for splitting the original variable names into pieces for `names_sep` as well as a column name for `values_to`: To organize these six pieces of information in six separate columns, we use `pivot_longer()` with a vector of column names for `names_to` and instructors for splitting the original variable names into pieces for `names_sep` as well as a column name for `values_to`:
@ -432,7 +432,7 @@ When you use `".value"` in `names_to`, the column names in the input contribute
#| label: fig-pivot-names-and-values #| label: fig-pivot-names-and-values
#| echo: false #| echo: false
#| fig-cap: > #| fig-cap: >
#| Pivoting with `names_to = c(".value", "id")` splits the column names #| Pivoting with `names_to = c(".value", "num")` splits the column names
#| into two components: the first part determines the output column #| into two components: the first part determines the output column
#| name (`x` or `y`), and the second part determines the value of the #| name (`x` or `y`), and the second part determines the value of the
#| `id` column. #| `id` column.

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