initial_time_split creating wrong split

On some number combinations the result of the initial_time_split generates a train/testing split different to what was intended. Seems the use of n_train = floor(x) within the function is driving this.

My script was generating the prop by using '1 - NROW(desired test set)/NROW(full data set)'. Using prop = NROW(desired training set )/NROW(full data set) does fix the issue so this isn't a major issue but still it caught me out. I guess I was interested in the reason for using floor(x) and not round(x, digits = 0)?

If you run the code below the result of NROW(testData) is 45, not 44.

data <- dplyr::as_tibble(c(
  rep("tr", 199),
  rep("te", 44)

prop = 1 - (44/243)

split <- rsample::initial_time_split(data = data, prop = prop)

testData <- rsample::testing(split)


initial_time_split() is working as intended since prop is documented as

The proportion of data to be retained for modeling/analysis.

or, in your words "NROW(desired training set )/NROW(full data set)".

The reason we're working with floor() rather than round() is that round() does a thing that's often rather unexpected for users:

round(1:10 + 0.5)
#>  [1]  2  2  4  4  6  6  8  8 10 10

Created on 2022-12-06 with reprex v2.0.2

thank you, and that output from round is indeed 'unexpected'.

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