filter: Filter rows of a data frame

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Filter rows of a data frame

Description

Filter out the rows of a data frame that don't meet your conditions.

Details

First argument: a data frame.

Next arguments: conditions on variables using logical operators like >, <, ==, !=, and %in%.

filter(data, ...)

data %>% filter(...)

See Also

Other dplyr verbs: select(), group_by(), summarize(), mutate(), arrange()

Examples

# Filter with a '>' condition:

tibble(
  x = c(6, 7, 3),
  y = c(5, 9, 0),
  z = c(8, 2, 1)
) %>%
  filter(x > 5)

#> # A tibble: 2 x 3
#>     x     y     z
   <dbl> <dbl> <dbl>
#>     6     5     8
#>     7     9     2

-----------------------------------

# Filter with a '==' condition:

tibble(
  x = c(6, 7, 3),
  y = c(5, 9, 0),
  z = c(8, 2, 1)
) %>%
  filter(x == 3)

#>  # A tibble: 1 x 3
#>     x     y     z
   <dbl> <dbl> <dbl>
#>     3     0     1

-----------------------------------

library(gapminder)

gapminder %>%
  filter(country %in% c("Mexico", "Guatemala"),
         year == 1997)

#>  A tibble: 2 x 6
#>     country   continent  year lifeExp      pop gdpPercap
       <fct>     <fct>     <int>   <dbl>    <int>     <dbl>
#>   1 Guatemala Americas   1997    66.3  9803875     4684.
#>   2 Mexico    Americas   1997    73.7 95895146     9767.

cobriant/qelp documentation built on July 1, 2022, 7:24 a.m.