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I refer to How to rename a single column in a data.frame?

# df = dataframe # old.var.name = The name you don't like anymore # new.var.name = The name you want to get names(df)[names(df) == 'old.var.name'] <- 'new.var.name'

I want to use this way(or other rename way?)

names(df)[names(df) == 'old.var.name'] <- 'new.var.name'

lapply for multi-layer list to rename single column, but I don't know how it iterate for sublist(such as following iris1, iris2 and iris3), let sublist rename column 'Species' to 'newSpecies'.

(If you know relevant tutorials on lapply processing multi-layer list/dataframe, you can also recommend it to me.)

irisData <- list(iris1 = iris, iris2 = iris, iris3 = iris) colnames(irisData$iris1) #[1] "Sepal.Length" "Sepal.Width" #[3] "Petal.Length" "Petal.Width" #[5] "Species"
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1 Answer 1

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You can use lapply like this.

> irisData <- lapply(irisData, \(x) {names(x)[names(x) == 'Species'] <- 'newSpecies'; x}) > lapply(irisData, head, 2) $iris1 Sepal.Length Sepal.Width Petal.Length Petal.Width newSpecies 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2 setosa $iris2 Sepal.Length Sepal.Width Petal.Length Petal.Width newSpecies 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2 setosa $iris3 Sepal.Length Sepal.Width Petal.Length Petal.Width newSpecies 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2 setosa

Data:

irisData <- list(iris1=iris, iris2=iris, iris3=iris)
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2 Comments

May I ask '; x' mean? I can't find any relevant explanation, or maybe I'm searching for wrong keywords
@ninaPeng You could think of ; as a new line operator, first the names of x are changed, then the entire x is returned. This is kinda shorthand, you could also use two lines instead.

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