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Remove binary gender example from R (#4082)

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Hank Hester 2021-01-15 02:30:42 -08:00 committed by GitHub
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@ -255,16 +255,16 @@ c('Z', 'o', 'r', 'r', 'o') == "Z" # TRUE FALSE FALSE FALSE FALSE
# FACTORS
# The factor class is for categorical data
# Factors can be ordered (like childrens' grade levels) or unordered (like gender)
factor(c("female", "female", "male", NA, "female"))
# female female male <NA> female
# Levels: female male
# Factors can be ordered (like childrens' grade levels) or unordered (like colors)
factor(c("blue", "blue", "green", NA, "blue"))
# blue blue green <NA> blue
# Levels: blue green
# The "levels" are the values the categorical data can take
# Note that missing data does not enter the levels
levels(factor(c("male", "male", "female", NA, "female"))) # "female" "male"
levels(factor(c("green", "green", "blue", NA, "blue"))) # "blue" "green"
# If a factor vector has length 1, its levels will have length 1, too
length(factor("male")) # 1
length(levels(factor("male"))) # 1
length(factor("green")) # 1
length(levels(factor("green"))) # 1
# Factors are commonly seen in data frames, a data structure we will cover later
data(infert) # "Infertility after Spontaneous and Induced Abortion"
levels(infert$education) # "0-5yrs" "6-11yrs" "12+ yrs"