Wrangle tweaks
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@ -18,13 +18,13 @@ as_tibble(iris)
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`as_tibble()` knows how to convert data frames, lists (provided the elements are equal length vectors), matrices, and tables.
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You can also create a new tibble from individual vectors with `tibble()`:
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You can create a new tibble from individual vectors with `tibble()`:
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```{r}
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tibble(x = 1:5, y = 1, z = x ^ 2 + y)
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```
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Note that `tibble()` automatically recycles inputs of length 1, and you can refer to variables that you just created. Compared to `data.frame()`, `tibble()` does much less: it never changes the type of the inputs (e.g. it never converts strings to factors!), it never changes the names of variables, and it never creates `row.names()`.
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`tibble()` automatically recycles inputs of length 1, and you can refer to variables that you just created. Compared to `data.frame()`, `tibble()` does much less: it never changes the type of the inputs (e.g. it never converts strings to factors!), it never changes the names of variables, and it never creates `row.names()`.
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Another way to create a tibble is with `frame_data()`, which is customised for data entry in R code. Column headings are defined by formulas (`~`), and entries are separated by commas:
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