As it says in the error message, you're creating columns of two different lengths. The three arguments you've specified to `rnorm()`

are matched by position to the `rnorm()`

arguments:

`rnorm(n, mean = 0, sd = 1)`

Where: ** n** number of observations. If

`length(n) > 1`

, the length is taken to be the number required.So you have one vector/column that's of length 100, and another that's of length 3.

Unlike with base data frames, tibble does not automatically recycle vectors to match length, hence the error.

If you meant to create a value column with the three values you specified to `rnorm()`

it would look like the first example in the reprex below. You could also use `rnorm()`

with n set to 99, and repeat your factor variable 33 times, which would give them matching lengths (the second example below).

```
library(tibble)
library(forcats)
df <- tibble(value = c(100, 100, 0.5), type = as_factor(c("1", "2", "3")))
df
#> # A tibble: 3 x 2
#> value type
#> <dbl> <fct>
#> 1 100 1
#> 2 100 2
#> 3 0.5 3
df <- tibble(value = rnorm(99, 100, 0.5), type = rep(as_factor(c("1", "2", "3")), 33))
df
#> # A tibble: 99 x 2
#> value type
#> <dbl> <fct>
#> 1 99.6 1
#> 2 101. 2
#> 3 101. 3
#> 4 101. 1
#> 5 101. 2
#> 6 99.9 3
#> 7 99.1 1
#> 8 99.4 2
#> 9 99.4 3
#> 10 99.9 1
#> # … with 89 more rows
```

^{Created on 2019-04-22 by the reprex package (v0.2.1)}