Bind any number of data frames by row, making a longer result. Similar to `dplyr::bind_rows`, however, columns with same names but different data types would be coerced to a single proper data type.
bind_rows_dt(...)
data.table
bind_rows_dt(iris[1:3,],iris[6:8,])
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <num> <num> <num> <num> <fctr>
#> 1: 5.1 3.5 1.4 0.2 setosa
#> 2: 4.9 3.0 1.4 0.2 setosa
#> 3: 4.7 3.2 1.3 0.2 setosa
#> 4: 5.4 3.9 1.7 0.4 setosa
#> 5: 4.6 3.4 1.4 0.3 setosa
#> 6: 5.0 3.4 1.5 0.2 setosa
# data frames with same name but different type
# numeric data would be coerced to character data in this case
df1 <- data.frame(x = 1:2, y = letters[1:2])
df2 <- data.frame(x = 4:5, y = 1:2)
bind_rows_dt(df1, df2)
#> x y
#> <int> <char>
#> 1: 1 a
#> 2: 2 b
#> 3: 4 1
#> 4: 5 2