[FR?] rvar works in data.frame but not data.table
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help wanted
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Description
Not sure if this is a posterior issue or data.table issue but it looks like you cannot put rvars into data.table but it does work with data.frame
library(data.table)
library(posterior)
n <- 4 # length of output vector
x_rvar <- rvar(array(rnorm(4000*n, mean = 1, sd = 1), dim = c(4000, n)))
x_rvar
# rvar<4000>[4] mean ± sd:
# [1] 0.98 ± 1.00 1.00 ± 1.02 1.00 ± 0.99 0.99 ± 0.99
# does not work :(
ex_dt = data.table(ex = x_rvar)
ex_dt
# Empty data.table (0 rows and 1 cols): ex
# does work
ex_df = data.frame(ex = x_rvar)
ex_df
# ex
# 1 0.9778591 ± 1.0010389
# 2 1.0015836 ± 1.0206705
# 3 0.9964342 ± 0.9948071
# 4 0.9947569 ± 0.9921549
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First steps
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Research direction
Run the reported R example with posterior::rvar, data.table, and data.frame to reproduce the empty data.table result. Compare how rvar is handled by data.table versus data.frame, then determine whether the relevant change belongs in posterior or data.table; done means the example produces the expected four-row data.table without regressing data.frame behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100