Select rows with minimum number of occurrence of value by group

In this dataframe:

df <- data.frame(
  File = c("A", "A", "A", "A", "B", "B", "B", "C", "C", "C"),
  value = c(1.111, 1.222, 0.001, 0.999, 0.12, 1.23, 0.000, 0.55, 0.666, 0.666))

I want to select those rows where at least two values are > 1 per group. I know how to select those rows where at least one value is > 1 per group:

library(dplyr)
df %>%
  group_by(File) %>%
  filter(any(value > 1))

How do I have to adapt this to filter as specified above?

Expected:

  File  value
  <chr> <dbl>
1 A     1.11 
2 A     1.22 
3 A     0.001
4 A     0.999

>Solution :

filter(sum(value > 1) > 1). sum(value >1) counts how many values are greater than 1, and the second > 1 keeps groups that have 2 or more values greater than 1.

library(dplyr)
df %>%
  group_by(File) %>%
  filter(sum(value > 1) > 1)