'to' must be a finite number, error analysing recorder metrics

[Jem_Powell]

Hi everyone!

I'm working on analysing recorder metrics based of the 2020 August paper (https://www.nature.com/articles/s41598-020-67658-3) but using my own data (looking at roadkill stats). When running this line:
metrics_axes_roadkill <- predictAxes(data = df_proj_splat,
recorders = unique(df_proj_splat$recorder)[1:10])

I keep getting this error message:
Calculating recorder metrics...
|======== | 10%Error in seq.int(0, to0 - from, by) : 'to' must be a finite number

There's a fair few NAs in my data, and the date column has been formatted via:

complete.cases(proj_splat$date)
df_proj_splat<- proj_splat[complete.cases(proj_splat$date),]

Any ideas on how to solve this? Any advice would be greatly appreciated!

2021-04-29T23:00:00Z

[nirgrahamuk]

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.…