Loess dataframe

fems <- fems %>% 
  group_by(CpG) %>% 
  arrange(CpG, AVGMOrder) %>% 
  mutate(Loess = predict(loess(Meth ~ AVGMOrder, span = .5, data=.),
    data.frame(AVGMOrder = seq(min(AVGMOrder), max(AVGMOrder), 1))))

Source: stackoverflow.com

Similar codes

0 vote156 views1 answer
Sys.path[0]
Python
5 votes165 views1 answer
Mutable and immutable in python
Python
0 vote149 views1 answer
Dataframe memory usage
Python
14 votes200 views3 answers
Python check if number is integer or float
Python
0 vote174 views1 answer
Python messaging networking
Python
9 votes183 views1 answer
Delete model object django
Python Django
7 votes141 views5 answers
.format python 3
Python
0 vote169 views1 answer
Pong code python
Python
0 vote159 views1 answer
Kinesis Client put_record
Python
0 vote161 views1 answer
New print on the same line substitution python 3
Python