Comments (3)
tar_render()
tries to unify two opposite styles of reporting:
- With automation: render as part of a reproducible pipeline.
- With interactivity: render with the "Knit" button in the RStudio IDE.
If you write parameterized reports and iterate over lots of parameter values, you have abandoned (2) in favor of (1), which is why tar_render()
does not try to accommodate dynamic branching. So I actually recommend:
- Use custom functions instead of
tar_render()
, and - Reference upstream dependency targets using more conventional means instead of through
tar_load()
ortar_read()
.
Sketch:
lines <- c(
"---",
"title: '`r params$paramcd`'",
"output: html_document",
"params:",
" paramcd: 'TOTAL'",
"---",
"",
"```{r}",
"print(params$paramcd)",
"print(object)",
"```"
)
writeLines(lines, "source.Rmd")
library(targets)
tar_script({
library(targets)
library(tarchetypes)
options(crayon.enabled = FALSE)
render_output <- function(source, pars, ...) {
output_file <- paste0(pars$paramcd, ".html")
rmarkdown::render(
source,
output_file = output_file,
params = pars,
envir = parent.frame(), # Find targets in the environment like `object`.
quiet = TRUE
)
output_file
}
tar_pipeline(
tar_target(pars, data.frame(paramcd = c("param1", "param2"))),
tar_target(object, 123),
tar_target(source, "source.Rmd", format = "file"),
tar_target(
output,
render_output(
source = source, # Mention the Rmd source file by target name so the graph is connected.
pars = pars,
object = object # Mention any dependency targets by name.
),
pattern = map(pars), # Dynamic branching over R Markdown parameters.
format = "file"
)
)
})
tar_make()
#> ● run target object
#> ● run target pars
#> ● run target source
#> ● run branch output_36be00ef
#> ● run branch output_788b11ba
webshot::webshot("param2.html")
Created on 2020-12-12 by the reprex package (v0.3.0)
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As always thank you for the great help!
Using targets has been a great experience and has made my workflows much more reliable reducing turnaround time for audibles from stakeholders.
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This also solves my other question about how to render xaringan slides in targets. Ty
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Related Issues (20)
- Local persistence of cloud-backed file targets HOT 5
- `tar_quarto()` always ends normally for quarto project even if there is error HOT 3
- `tar_quarto()` ignores `output_dir` in _quarto.yml when passed an individual file
- combine tar_cue_age with a conditional statement HOT 4
- Rep-specific seeds in tar_rep(), tar_map_rep(), etc. HOT 5
- optional garbage collection between reps of the `tar_rep*()` functions HOT 1
- tar_change repository not considered for change part
- Branches not in metadata: branches out of range
- GitHub interactions are temporarily limited because the maintainer is out of office.
- tar_cross() HOT 2
- Bug: `tar_quarto_rep()` throws an error if used together with `future::plan()` from _targets.R template HOT 1
- Support Quarto profiles? HOT 10
- Expose `tar_render()`, `tar_quarto()` and similar functions to the `deps` argument of `tar_target_raw()` HOT 8
- Errors and warnings with Quarto
- tar_quarto_rep doesn't work on reports in subdirectories HOT 2
- `retrieval = "none"` in quarto target factories HOT 2
- [general] Use `tar_rep()` and `tar_rep2()` inside of `tar_map()` HOT 2
- Allow trailing comma in `tar_map()` HOT 1
- Let `tar_map()` substitute more fields, e.g., `priority` HOT 2
- Safely allow tar_quarto() etc. to run the report from a custom working directory HOT 2
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