Filter on ggplot scatterplot

[jop96]

Hello R experts,

I'm trying to run this code to plot a scatterplot:

ggscatter(Correlation, x = "AverageTemperature", y = "Confirmed",
add = "reg.line", conf.int = TRUE,
cor.coef = TRUE, cor.method = "pearson",
xlab = "AverageTemperature", ylab = "Confirmed")

The dataset im working with looks somthing like this:

Country Confirmed Deaths Recovered Date AverageTemperature AverageTemperatureUncertainty
1 Afghanistan 281 6 10 2013-08-01 26.031 0.347
2 Albania 304 17 89 2013-08-01 24.793 0.928
3 Algeria 1171 105 62 2013-08-01 33.234 0.798

Now I would like to only include the cases which have 500 or more ''confirmed'' cases. Im new to R and have no clue whatsoever on how to achieve this. I've tried adding filter (n > 500) but I get the following error:

Error in n > 500 :
comparison (6) is possible only for atomic and list types

Would love an answer!
Kind regards,
Jop

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

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.…