You should consider clear and specific column names as part of your official project documentation.
Rename column in r how to#
Learning how to change column name in R is an essential skill. Fortunately, there are multiple ways to get this done. At some point you will need to rename a column in r without having to create a new column. x, recycle0 = TRUE ), starts_with ( "nonexistent" ) ) #> # A tibble: 150 × 5 #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> 4 4.6 3.1 1.5 0.2 setosa #> 5 5 3.6 1.4 0.2 setosa #> 6 5.4 3.9 1.7 0.4 setosa #> 7 4.6 3.4 1.4 0.3 setosa #> 8 5 3.4 1.5 0.2 setosa #> 9 4.4 2.9 1.4 0.2 setosa #> 10 4.9 3.1 1.5 0.Establishing crisp, clear column names is essential to keeping a large statistics project organized, especially if you are using a dataframe with multiple column or row names. rename_with ( iris, ~ paste0 ( "prefix_".
x), starts_with("nonexistent")) : #> `.fn` must return a vector of length 0, not 1. x ), starts_with ( "nonexistent" ) ) ) #> Error in rename_with(iris, ~paste0("prefix_".
0 kommentar(er)
