knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
rmarkdown & knitr capture everything written to stdout, which includes all output from
document chunks, including progress bars, such as those supplied by dplyr.
To enable progress reporting even when using rmarkdown documents, the progress
bar supplied here can write output to any connection, including stdout, stderr,
and any opened file.
Load the package, and define the function that will use the progress bar. This particular example is courtesy of Bob Rudis.
library(knitrProgressBar) arduously_long_nchar <- function(input_var, .pb=NULL) { update_progress(.pb) # this is a function provided by the package Sys.sleep(0.1) nchar(input_var) }
There are two ways to choose the output:
make_kpb_output_decisions()NULL for no output)make_kpb_output_decisions()# not run pb <- progress_estimated(length(letters)) purrr::map_int(letters, arduously_long_nchar, .pb = pb)
In the terminal, this should push results to stdout, in knitr / rmarkdown it
will get pushed to stderr.
If you want the progress to appear when in the terminal, but not when running
via the RStudio Knit button or Rscript, then you can supply an option
to suppress progress output in non-interactive running:
options(kpb.suppress_noninteractive = TRUE)
If you want log-files displaying progress, you can use the following options:
options(kpb.use_logfile = TRUE)
This will push all progress to a log-file, by default to kpb_output.log.
Adding more options will provide finer control:
options(kpb.use_logfile = TRUE) options(kpb.log_file = "my_logfile.log")
Now progress will be saved in my_logfile.log.
If you are using rmarkdown and want to make log-files based on the chunk labels,
then you would use the kpb.log_pattern option:
options(kpb.use_logfile = TRUE) options(kpb.log_pattern = "pb_out_")
This will generate a log-file for each rmarkdown chunk, and prepend each
one with pb_out_.
Note: kpb.log_file and kpb.log_pattern should not both be set in a single
run, and kpb.log_file trumps kpb.log_pattern.
In this case, you can simply pass a connection directly into progress_estimated:
# to terminal, or print in a knitr chunk pb <- progress_estimated(length(letters), progress_location = stdout()) # to stderr, so visible from knitr pb <- progress_estimated(length(letters), progress_location = stderr()) # to a file, visible using tailf pb <- progress_estimated(length(letters), progress_location = file("progress.log", open = "w"))
If you decide that you don't want any progress displayed, just pass a NULL connection.
pb <- progress_estimated(length(letters), progress_location = NULL) purrr::map_int(letters, arduously_long_nchar, .pb = pb)
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