r - Adding values allowing a maximum number of NA values using dplyr -


i have this:

df = data.frame(month=rep(1:3,3),                  year=rep(1998:2000,each=3),                  a=c(na,3,2,rep(na,2),4,4,5,na),                  b=c(na,4,5,rep(na,4),5,6),                  c=c(10,rep(na,3),2:4,rep(na,2))) > head(df)   month  year   b  c 1     1  1998 na na 10 2     2  1998  3  4 na 3     3  1998  2  5 na 4     1  1999 na na na 5     2  1999 na na  2 6     3  1999  4 na  3

and want this:

   year      b   c 1  1998    5   9  na 2  1999   na  na   5 3  2000    9  11  na

the above means sum function allows 1 na value per year.

as first attempt tried: 

library(dplyr)     df %>% group_by(year) %>% summarise_all(function(x) sum(x, na.rm=t))

but got following output wrote na.rm=t:

   year      b   c 1  1998    5   9  10 2  1999    4   0   5 3  2000    9  11   4

my question is: how pass maximum number of na values sum function in order intended data frame?

i quite solved complicated for , if loops wonder if using vectorized functions.

any thoughts?

library(dplyr)  df <- data.frame(month=rep(1:3,3),             year=rep(1998:2000,each=3),             a=c(na,3,2,rep(na,2),4,4,5,na),             b=c(na,4,5,rep(na,4),5,6),             c=c(10,rep(na,3),2:4,rep(na,2)))  df <- df %>% group_by(year) %>%   summarise_all(function(x) ifelse(2 * sum(is.na(x)) > length(x), na, sum(x, na.rm=t)))  df$month <- null as.data.frame(df) #   year   b  c # 1 1998  5  9 na # 2 1999 na na  5 # 3 2000  9 11 na

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