What does L mean?

[my_username]

Hello everyone!

I am new to R and am trying to understand some codes that other people have written. The code I am focusing on right now was written by @andresrcs in this thread:

df %>%
pivot_longer(c("PA", "PUA"), names_to = "type") %>%
ggplot(aes(y = Country, x = value, fill = type)) +
geom_col() +
scale_x_continuous(labels = scales::percent_format(scale = 1))
#> Error in df %>% pivot_longer(c("PA", "PUA"), names_to = "type") %>% ggplot(aes(y = Country, : could not find function "%>%"

^{Created on 2021-12-10 by the reprex package (v2.0.1)}

As you can see, andresrcs writes "10L" in the c() function following row.names. What does "-10L" mean? From what I understand, including "-10L" will produce a data frame with 10 rows. But I cannot find any instruction document to confirm that. Furthermore, why is the integer negative (-10 instead of 10)? Does it have something to do with the "L" element?

[andresrcs]

the "L" after a number denotes that is of class "integer" and not "numeric"

class(10L)
#> [1] "integer"
class(10)
#> [1] "numeric"

^{Created on 2021-12-10 by the reprex package (v2.0.1)}

Also, I haven't manually written the "L"s, that part of the code comes from the sample data (in a copy/paste friendly format). That format is usually produced by the use of the dput() or datapasta::df_paste() functions.

Read this reprex guide to better understand the concept

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.…

[my_username]

Thank you, @andresrcs !

P.S. Is it okay to thank people on RStudio? The guidelines on StackOverflow (another coding forum, which I'm sure you've heard of) recommend that we do not thank each other lest we clog up our threads. Does the same policy apply in RStudio?

[andresrcs]

@my_username

P.S. Is it okay to thank people on RStudio?

Yes, it's OK but it is more usual to simply give "likes" to the person you want to thanks.