Import of fixed width data and col_type error

[NohmaOrama]

I have a dataset which looks like that

I want to change the col_type of the Date from character to date. But when I try I get an error.

northtemp <- read_table(file = "stasjonsdata-3.txt",
                         col_names = c("Location", "Date", "Hour", "Depth", "Temperature"),
                         col_types = cols(Date = col_date("%m.%Y")),
                         skip = 1)

I have done the same thing with data that is in .csv format. This is what I am trying to replicate

florida <- read_delim(file = "Florida-precip.csv", 
                      delim = ";",
                      locale = locale(decimal_mark = ","),
                      col_names = c("name", "station", "date", "precip"),
                      skip = 1, 
                      col_types = cols(date = col_date("%m.%Y")))

florida <- florida |> 
  mutate(
    month = month(date, label = TRUE), 
    year = year(date))
florida

florida |> 
  group_by(month) |> 
  summarise(precip = mean(precip)) |> 
  ggplot(aes(x = month, y = precip, fill = precip)) +
  geom_col() +
  labs(x = "", y = "Precipitation mm")

[williaml]

So does it work when it is in csv format? What does the error say? Can you provide a reproducible example?

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.…