Split up a string into pieces.
str_split(string, pattern, n = Inf, simplify = FALSE)str_split_fixed(string, pattern, n)
- Input vector. Either a character vector, or something coercible to one.
- Pattern to look for.
Match a fixed string (i.e. by comparing only bytes), using
fixed(x). This is fast, but approximate. Generally, for matching human text, you'll want
coll(x)which respects character matching rules for the specified locale.
Match character, word, line and sentence boundaries with
boundary(). An empty pattern, "", is equivalent to
- number of pieces to return. Default (Inf) uses all
possible split positions.
str_split_fixed, if n is greater than the number of pieces, the result will be padded with empty strings.
FALSE, the default, returns a list of character vectors. If
TRUEreturns a character matrix.
str_split_fixed, a character matrix with
str_split, a list of character vectors.
stri_split for the underlying implementation.
fruits <- c( "apples and oranges and pears and bananas", "pineapples and mangos and guavas" ) str_split(fruits, " and ") str_split(fruits, " and ", simplify = TRUE) # Specify n to restrict the number of possible matches str_split(fruits, " and ", n = 3) str_split(fruits, " and ", n = 2) # If n greater than number of pieces, no padding occurs str_split(fruits, " and ", n = 5) # Use fixed to return a character matrix str_split_fixed(fruits, " and ", 3) str_split_fixed(fruits, " and ", 4)
z <- 'World, Asia, India, Punjab and Jalandhar' # Option 1 str_split(z, ",\\s|\\sand\\s") # Option 2 str_split(z, ", | and ")
```r datetime = "01/01/1900 00:00:00" #Displays split date #Splits string by space str_split(date, " ", simplify = TRUE) #Reference individual parts #Extracts date str_split(date, " ", simplify = TRUE)[,1] #Extracts time str_split(date, " ", simplify = TRUE)[,2] #Extracting year presents a problem when splitting by / #time is included with year str_split(date, "/", simplify = TRUE)[,3] #Extracting year only strtrim(str_split(date, "/", simplify = TRUE)[,3],4) ```