You can use the following basic syntax to convert a column with TRUE and FALSE values to a column with 1 and 0 values in R:

df$my_column <- as.integer(as.logical(df$my_column))

The following example shows how to use this syntax in practice.

Example: Convert TRUE and FALSE to 1 and 0 in R

Suppose we have the following data frame in R:

#create data frame
df <- data.frame(points=c(5, 7, 8, 0, 12, 14),
                 assists=c(0, 2, 2, 4, 4, 3),
                 all_star=c(TRUE, TRUE, FALSE, FALSE, FALSE, TRUE))

#view data frame
df

  points assists all_star
1      5       0     TRUE
2      7       2     TRUE
3      8       2    FALSE
4      0       4    FALSE
5     12       4    FALSE
6     14       3     TRUE

We can use the following basic syntax to convert the TRUE and FALSE values in the all_star column to 1 and 0 values:

#convert all_star column to 1s and 0s
df$all_star <- as.integer(as.logical(df$all_star))

#view updated data frame
df

  points assists all_star
1      5       0        1
2      7       2        1
3      8       2        0
4      0       4        0
5     12       4        0
6     14       3        1

Each TRUE value has been converted to 1 and each FALSE value has been converted to 0.

The other columns (points and assists) have remained unchanged.

Note that you can also use the as.logical() function to convert a column of 1 and 0 values back to TRUE and FALSE values:

#convert 1s and 0s back to TRUE and FALSE in all_star column
df$all_star <- as.logical(df$all_star)

#view updated data frame
df

  points assists all_star
1      5       0     TRUE
2      7       2     TRUE
3      8       2    FALSE
4      0       4    FALSE
5     12       4    FALSE
6     14       3     TRUE

The 1 and 0 values have been converted back to TRUE and FALSE values in the all_star column.