One way to divide a data frame with only one column into several columns in R is to use functions like separate()
or tidyr::extract()
.
For example, let's say we have a data frame df
that contains only one column "Name" with values like "John Doe", "Sara Smith", and "Mike Johnson". We want to split this into two columns "FirstName" and "LastName".
We can use tidyr::separate()
function as follows:
library(tidyr)
df_new <- separate(df, Name, into = c("First_Name", "Last_Name"), sep = " ")
This will create a new data frame df_new
with two columns "FirstName" and "LastName" containing the separated values.
Alternatively, we can use tidyr::extract()
function as follows:
df_new <- extract(df, Name, into = c("First_Name", "Last_Name"), regex = "^(\\S+)\\s+(\\S+)$")
This will create a new data frame df_new
with two columns "FirstName" and "LastName" containing the extracted values using a regular expression.
Note that in both cases, we need to specify the column to be separated or extracted, and the names of the new columns to be created.
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Asked: 2023-07-01 15:23:29 +0000
Seen: 14 times
Last updated: Jul 01 '23
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