Created
December 12, 2019 20:26
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Change values in a column of an R data frame
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| library(tidyverse) | |
| #### Changing the values in a character/numeric vector #### | |
| # Create sample data frame | |
| df <- data.frame( | |
| col1 = c("A", "A", "A", "A", "B", "B", "B", "B"), | |
| col2 = c("C", "C", "D", "D", "C", "C", "D", "D"), | |
| col3 = c("E", "F", "E", "F", "E", "F", "E", "F"), | |
| stringsAsFactors = FALSE | |
| ) | |
| # Change values in col1 from "A" to "Apple" | |
| # From https://stackoverflow.com/questions/35610437/using-dplyr-to-conditionally-replace-values-in-a-column | |
| df <- df %>% | |
| mutate(col1 = replace(col1, col1 == "A", "Apple")) | |
| #### Changing the value of a factor #### | |
| # Create sample data frame | |
| df <- data.frame( | |
| col1 = c("A", "A", "A", "A", "B", "B", "B", "B"), | |
| col2 = c("C", "C", "D", "D", "C", "C", "D", "D"), | |
| col3 = c("E", "F", "E", "F", "E", "F", "E", "F"), | |
| stringsAsFactors = TRUE | |
| ) | |
| # Change values in col1 from "A" to "Apple". Change is made directly to df, don't need to reassign. | |
| # From http://www.cookbook-r.com/Manipulating_data/Renaming_levels_of_a_factor/ | |
| levels(df)[levels(df) == "A"] <- "Apple" | |
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