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...manually unserializing "plain" data objects (without anything executable), including environments, in R [1]. I see that SET_ENCLOS() is already commented as "not API and probably should not be <...> used". Do you think there is a way to recreate an environment, taking the REFSXP entries into account, without `parent.env<-`? Would you recommend to abandon the folly of unserializing environments manually? -- Best regards, Ivan [1] https://codeberg.org/aitap/unserializeData/src/commit/33d72705c1ee265349b3e369874ce4b47f9cd358/R/unserialize.R#L289-L313

Currently, I load the RData file then ls() and str(). But loading the file takes too long if the file is big. Most of the time, I only interested what the variables are in the the file and the attributes of the variables (like if it is a data.frame, matrix, what are the colnames/rownames, etc.) I'm wondering if there is any facility in R to help me avoid loading the whole file.

On Sat, 11 May 2024, Peter Langfelder wrote: > On Sat, May 11, 2024 at 9:34?AM luke-tierney--- via R-devel > <r-devel at r-project.org> wrote: >> >> On Sat, 11 May 2024, Travers Ching wrote: >> >>> The following code snippet causes R to hang. This example might be a >>> bit contrived as I was experimenting and trying to understand >>>