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authorHank Hester <hankhester@github.com>2021-01-15 02:30:42 -0800
committerGitHub <noreply@github.com>2021-01-15 11:30:42 +0100
commitc351cab657897229e1d6b826a53399bca129b489 (patch)
treeb6d39c0292f768512df85d91d0f38432a2791177 /r.html.markdown
parentab85932812de0ee13707400c69ffa90bd619aea6 (diff)
Remove binary gender example from R (#4082)
Diffstat (limited to 'r.html.markdown')
-rw-r--r--r.html.markdown14
1 files changed, 7 insertions, 7 deletions
diff --git a/r.html.markdown b/r.html.markdown
index 3e855602..79af40ce 100644
--- a/r.html.markdown
+++ b/r.html.markdown
@@ -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"