How can I use as.numeric with data.table?

[rxtheodoro]

Hi!

I have been trying to convert a character column to a numeric column in my data.table, but I'm failing. It is too slow and stuck after a long time.

The regular way has been faster than the data.table way. Is it right?!

# Regular way
base_placebo$municipio <- as.numeric(base_placebo$municipio) 

# Data table way
base_placebo[, lapply(municipio, as.numeric),]

What I am missing?

[jrkrideau]

@rxtheodoro

What I am missing?

Hard to tell, if anything. can you supply a minimal example with sample data?

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 0.2…

[nirgrahamuk]

@rxtheodoro

base_placebo[, lapply(municipio, as.numeric),]

its simpler

library(data.table)


(adt <- as.data.table(data.frame(x=as.character(1:5))))

adt[,x:=as.numeric(x)]

str(adt)

[rxtheodoro]

Thanks! Worked very well!