dplyr:filter : filtrer par rapport à des conditions

library(datasets)
library(dplyr)

head(airquality)

filter(airquality, Temp > 70)
filter(airquality, Temp > 80 & Month > 5)

starwars %>%
  filter(species == "Droid")

filter(select(flights, UniqueCarrier, DepDelay), DepDelay > 60)

flights %>%
  select(UniqueCarrier, DepDelay) %>%
  filter(DepDelay > 60)

filter(msleep, sleep_total >= 16, bodywt >= 1)

Multiple Selection Criteria

mydata7 = filter(mydata6, Index %in% c("A", "C"))

AND' Condition in Selection Criteria
mydata8 = filter(mydata6, Index %in% c("A", "C") & Y2002 >= 1300000 )

'OR' Condition in Selection Criteria

mydata9 = filter(mydata6, Index %in% c("A", "C") | Y2002 >= 1300000)

NOT Condition

mydata10 = filter(mydata6, !Index %in% c("A", "C"))

CONTAINS Condition

The grepl function is used to search for pattern matching. In the following code, we are looking for records wherein column state contains 'Ar' in their name.

mydata10 = filter(mydata6, grepl("Ar", State))