library('tibble')

df <- tibble(
  ticker = c("first", "second", "third"),
  status = c(T,T,T)
)

> df
# A tibble: 3 x 2
  ticker status
 1 first  TRUE
 2 second TRUE
 3 third  TRUE

library('dplyr')

df %<>%
  filter(ticker=='first') %>%
  mutate(
   status = F
  )

> df
# A tibble: 1 x 2
  ticker status
1 first  FALSE

> df
# A tibble: 3 x 2
  ticker status
1 first  FALSE
2 second TRUE
3 third  TRUE