Dear R users, I am trying to simulate a pseudo R console, evaluating commands. This is a simple example of a series of command lines which get evaluated:
foo <- function(x) { print(x) } print)foo) foo(2) If I copied and pasted this example in an R console, this is the result to replicate (and the benchmark to compare everything else): > foo <- function(x) { + print(x) + } > print)foo) Error: unexpected ')' in "print)" > foo(2) [1] 2 The trouble I'm having is to reproduce this exact output, by evaluating the chunk of code. I tried both Rscript and littler, but I am unable to reproduce this. I had some success via: R CMD BATCH -q foo.R (saving the chunk to a file called foo.R), which only works until the first error appears. I can run it again on the subsequent command(s) after the error, but the function foo(), which in a normal R console gets created without any error, doesn't get preserved on the next run. I also had some limited success with: source("foo.R", echo = TRUE, keep.source = TRUE) But the error message is different, and the first 4 lines are not echo-ed. source() works pretty well if there are no errors, but otherwise I get the same result as R CMD BATCH, namely only the error is displayed and the function foo() doesn't get created in the current environment. I would rather use source() than R CMD BATCH, due to specific environments where the chunk should be evaluated in (not impossible, but inconvenient to save environments and load them back in the R CMD BATCH). Was also curious about knitr and pander, but again unable to replicate the results in the real R console. After many hours of searching, reading and testing, I would be grateful for any hint. Thank you in advance, Adrian -- Adrian Dusa University of Bucharest Romanian Social Data Archive Soseaua Panduri nr.90 050663 Bucharest sector 5 Romania [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.