Converting Yes and No to 0 and 1 in R

How to change yes/no in a column to 1 and 0

If we need to convert multiple values "N", "n", "no", "NO" and all others as "Yes" to 0 and 1, get the first character with substr, change it to upper case (toupper, do a comparison (!=) with "N" and coerce it to binary (as.integer)

library(dplyr)
clean %>%
       mutate(flight = as.integer(toupper(substr(flight, 1, 1)) != "N"))

NOTE: Assume that there are only "Yes", "NO", "no", "N", "n" as values in the column

data

clean <- tibble(flight = c("No", "Yes", "YES", "Y", "no",
      "No", "NO", "Y", "n", "y", "No"))

dplyr mutate converting No to 0 and Yes to 1

Just another solution which can be useful in case you will need to recode more values in the future

library(dplyr)
tmp$y <- recode(tmp$y, "No" = 0, "Yes" = 1)

or using mutate in a pipeline

tmp %>% 
  mutate(y = recode(y, "No" = 0, "Yes" = 1))

Output

# A tibble: 7 x 2
#       x     y
#   <int> <dbl>
# 1     1     0
# 2     2     1
# 3     3    NA
# 4     4     1
# 5     5     1
# 6     6     1
# 7     7     0

r program changing yes/no variable to 1/0 - variable 'medal' is not a factor

Apart from the obvious typo...

How can I change the yes/no to 0/1?

You need

sport$medal <- factor(sport$medal, levels = c("yes", "no"))

The default behaviour will give you 0 for "no" and 1 for "yes", as "n" comes ahead of "y" in alphabetical order.

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