I don’t think desc
takes an na.rm
argument… I’m actually surprised it doesn’t throw an error when you give it one. If you just want to remove NA
s, use na.omit
(base) or tidyr::drop_na
:
outcome.df %>%
na.omit() %>%
group_by(Hospital, State) %>%
arrange(desc(HeartAttackDeath)) %>%
head()
library(tidyr)
outcome.df %>%
drop_na() %>%
group_by(Hospital, State) %>%
arrange(desc(HeartAttackDeath)) %>%
head()
If you only want to remove NA
s from the HeartAttackDeath column, filter with is.na
, or use tidyr::drop_na
:
outcome.df %>%
filter(!is.na(HeartAttackDeath)) %>%
group_by(Hospital, State) %>%
arrange(desc(HeartAttackDeath)) %>%
head()
outcome.df %>%
drop_na(HeartAttackDeath) %>%
group_by(Hospital, State) %>%
arrange(desc(HeartAttackDeath)) %>%
head()
As pointed out at the dupe, complete.cases
can also be used, but it’s a bit trickier to put in a chain because it takes a data frame as an argument but returns an index vector. So you could use it like this:
outcome.df %>%
filter(complete.cases(.)) %>%
group_by(Hospital, State) %>%
arrange(desc(HeartAttackDeath)) %>%
head()