Lubridate as_date

[realusername]

I imported a dataset using read_csv. When I check the class of my date column, it says 'character'.
So i wanted to change it using as_date(data$column) but it change all the dates to NA.

What am I doing wrong?

[andresrcs]

It's hard to know for sure without a REPRoducible EXample (reprex) but maybe your problem is with your date format, the default is %Y-%m-%d if your date column has a different format, then you need to specify it with the format parameter e.g.

as_date(data$column, format = '%m-%d-%Y') 

If you need more specific help, please provide a reprex. A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[realusername]

Here's the sample dataset:

A, 12/3/1990
B, 1/1/2000
C, 11/13/2001
D, 2/2/2002
E, 12/23/1999

Here's the code I am using:

data <- read_csv("file.csv)
x <- data %>%
as_date(col2)

The error I get is:
do not know how to convert 'x' to class “Date”

[realusername]

Here's ready tibble and code is used:

f <- tribble(~a, ~date,
               "BVH", "1/1/2019",
               "HBYU", "12/12/1990",
               "CYC", "1/11/1999",
               "AC", "12/10/2000")
summary(f)
g <- f %>%
  as_date(date)

[martin.R]

You could use lubridate::dmy():

Parse dates with year, month, and day components — ymd

[realusername]

Tried it already. Doesn't work

[andresrcs]

you need to use it in combination with mutate

library(dplyr)
library(lubridate)

f <- tribble(~a, ~date,
             "BVH", "1/1/2019",
             "HBYU", "12/12/1990",
             "CYC", "1/11/1999",
             "AC", "12/10/2000")

g <- f %>%
    mutate(date = mdy(date))
g
#> # A tibble: 4 x 2
#>   a     date      
#>   <chr> <date>    
#> 1 BVH   2019-01-01
#> 2 HBYU  1990-12-12
#> 3 CYC   1999-01-11
#> 4 AC    2000-12-10

^{Created on 2019-03-20 by the reprex package (v0.2.1)}