How to modify data frame data in R programming language?

To modify data in a data frame in R, you can use the following methods:

1. To modify using indexing:
   You can use the $ symbol or [] to select columns in a data frame and use the assignment operator <- to update the corresponding values.
2. # Create a data frame
   df <- data.frame(A = c(1, 2, 3), B = c("a", "b", "c")) # Modify data using $ symbol and column name df$A <- c(4, 5, 6) # Modify data using [] and index df[2, "B"] <- "d"
3. Modify using logical conditions:
   You can use logical conditions to select the rows to modify and use the assignment operator <- to modify the corresponding values.
4. – Create a data frame
   df <- data.frame(A = c(1, 2, 3), B = c("a", "b", "c")) - Change the values of rows that meet the condition df[df$A > 2, “B”] <- "d"
5. Modify with mutate():
   The mutate() function in the dplyr package can be used to modify a data frame and return the updated result.
6. # Install and load the dplyr package
   install.packages(“dplyr”)
   library(dplyr)

   # Create a data frame
   df <- data.frame(A = c(1, 2, 3), B = c("a", "b", "c")) # Modify the data using the mutate() function df <- df %>% mutate(A = A * 2, B = toupper(B))

These are some common methods for modifying data frames. You can choose the appropriate method based on your specific needs.