r - Substitute outliers depending on quartile and group -


i have following data frame:

d =  id group value 1      1 2      2 3      10 4  b     100 5  b     200 6  b     1000

i replace values above 99% quartile na depending on group belong. in example observations (id) 3 , 6. far have piece of code want not depending on each group.

d[ d$value.ta < quantile(d$value, 0.99), 'value'] <- na

any help?

you can use group_by() function dplyr:

library(dplyr)  d <- d %>%   group_by(group) %>%   mutate(value.ta = ifelse(value < quantile(value, 0.99),                            value, na)) %>%   ungroup()  > d     # tibble: 6 x 4      id  group value value.ta   <int> <fctr> <dbl>    <dbl> 1     1          1        1 2     2          2        2 3     3         10       na 4     4      b   100      100 5     5      b   200      200 6     6      b  1000       na

data:

d <- data.frame(   id = seq(1, 6),   group = rep(c("a", "b"), each = 3),   value = c(1,2,10,100,200,1000) )

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