This is a convenient way to add one or more rows of data to an existing data frame. See tribble() for an easy way to create an complete data frame row-by-row. Use tibble_row() to ensure that the new data has only one row.

add_case() is an alias of add_row().

add_row(.data, ..., .before = NULL, .after = NULL)

Arguments

.data

Data frame to append to.

...

<dynamic-dots> Name-value pairs, passed on to tibble(). Values can be defined only for columns that already exist in .data and unset columns will get an NA value.

.before, .after

One-based row index where to add the new rows, default: after last row.

See also

Other addition: add_column()

Examples

# add_row ---------------------------------
df <- tibble(x = 1:3, y = 3:1)

df %>% add_row(x = 4, y = 0)
#> # A tibble: 4 x 2
#>       x     y
#>   <dbl> <dbl>
#> 1     1     3
#> 2     2     2
#> 3     3     1
#> 4     4     0

# You can specify where to add the new rows
df %>% add_row(x = 4, y = 0, .before = 2)
#> # A tibble: 4 x 2
#>       x     y
#>   <dbl> <dbl>
#> 1     1     3
#> 2     4     0
#> 3     2     2
#> 4     3     1

# You can supply vectors, to add multiple rows (this isn't
# recommended because it's a bit hard to read)
df %>% add_row(x = 4:5, y = 0:-1)
#> # A tibble: 5 x 2
#>       x     y
#>   <int> <int>
#> 1     1     3
#> 2     2     2
#> 3     3     1
#> 4     4     0
#> 5     5    -1

# Use tibble_row() to add one row only
df %>% add_row(tibble_row(x = 4, y = 0))
#> # A tibble: 4 x 2
#>       x     y
#>   <dbl> <dbl>
#> 1     1     3
#> 2     2     2
#> 3     3     1
#> 4     4     0
try(df %>% add_row(tibble_row(x = 4:5, y = 0:-1)))
#> Error : All vectors must be size one, use `list()` to wrap.
#>  Column `x` is of size 2.

# Absent variables get missing values
df %>% add_row(x = 4)
#> # A tibble: 4 x 2
#>       x     y
#>   <dbl> <int>
#> 1     1     3
#> 2     2     2
#> 3     3     1
#> 4     4    NA

# You can't create new variables
try(df %>% add_row(z = 10))
#> Error : New rows can't add columns.
#>  Can't find column `z` in `.data`.