library(dialr)
# Parse a character phone number vector
x <- c(0, 0123, "0404 753 123", "61410123817", "+12015550123")
x <- phone(x, "AU")
print(x)
#> # Parsed phone numbers: 5 total, 4 successfully parsed
#> [1] 0 123 0404 753 123 61410123817 +12015550123
is_parsed(x) # Was the phone number successfully parsed?
#> [1] FALSE TRUE TRUE TRUE TRUE
is_valid(x) # Is the phone number valid?
#> [1] FALSE FALSE TRUE TRUE TRUE
is_possible(x) # Is the phone number possible?
#> [1] FALSE FALSE TRUE TRUE TRUE
get_region(x) # What region (ISO country code) is the phone number from?
#> [1] NA NA "AU" "AU" "US"
get_type(x) # Is the phone number a fixed line, mobile etc.
#> [1] NA "UNKNOWN" "MOBILE"
#> [4] "MOBILE" "FIXED_LINE_OR_MOBILE"
format(x)
#> [1] NA "+61123" "+61404753123" "+61410123817" "+12015550123"
format(x, home = "AU")
#> [1] NA "123" "0404753123" "0410123817"
#> [5] "001112015550123"
# Use with dplyr
library(dplyr)
y <- tibble(id = 1:4,
phone1 = c(0, 0123, "0404 753 123", "61410123817"),
phone2 = c("03 9388 1234", 1234, "+12015550123", 0),
country = c("AU", "AU", "AU", "AU"))
y %>%
mutate_at(vars(matches("^phone")), ~phone(., country)) %>%
mutate_at(vars(matches("^phone")),
list(valid = is_valid,
region = get_region,
type = get_type,
clean = format))
#> # A tibble: 4 x 12
#> id phone1 phone2 country phone1_valid phone2_valid
#> <int> <phone> <phone> <chr> <lgl> <lgl>
#> 1 1 NA +61393881234 AU FALSE TRUE
#> 2 2 +61123 +611234 AU FALSE FALSE
#> 3 3 +61404753123 +12015550123 AU TRUE TRUE
#> 4 4 +61410123817 NA AU TRUE FALSE
#> # … with 6 more variables: phone1_region <chr>, phone2_region <chr>,
#> # phone1_type <chr>, phone2_type <chr>, phone1_clean <chr>,
#> # phone2_clean <chr>Created on 2021-02-27 by the reprex package (v1.0.0)