plot_map() to use internal
dataset wq_demo instead of external file reference. All
examples and tests now comply with CRAN policies (no local file
dependencies, write only to tempdir). No API changes.render_report()
now copies the template to a temporary directory before rendering to
comply with CRAN filesystem policies. All intermediate files generated
during rendering are written only to output_dir (default
tempdir()), never to the package installation directory.
Tests for render_report() are now skipped on CRAN
(skip_on_cran()) and use
withr::local_tempdir() for proper cleanup.wq_demo example dataset is now a subset of real data (from
BURANHEM river monitoring, 4 points, years 2020–2024, 20 rows). Includes
extra columns: rio, lat, and
lon.R/data_wq_demo.R,
inst/extdata/wq_demo_README.txt, vignettes, README) updated to reflect
the change.iet_carlson() e iet_lamparelli()
agora aceitam data.frame com .keep_ids.p_total (mg/L) → tp (µg/L).iqa() mais robusto: alias temp para
temperatura, numificação segura e reponderação com
na_rm=TRUE..keep_ids.Changes in this version: - Fixed incoming NOTE detected in pre-tests:
- Removed non-standard fields (DOI, Citation)
from DESCRIPTION. - Updated inst/CITATION to use the modern
bibentry() format instead of the deprecated
citEntry(). - Minor internal documentation updates (no API
or functional changes).
citation("tikatuwq")).param_analysis() and
param_analysis_multi():
test-param_analysis.R,
test-param_analysis_multi.R).plot_trend() and
plot_map() (controlled messages).generate_analysis()
(docs matched to code).README-pt.md, now using absolute
HTTPS URL.plot_trend():
ggplot object ready for plotting.plot_trend() with practical
examples.plot_map() — interactive map of sampling points
using Leaflet (optional dependency via Suggests).if (interactive()) /
\donttest{} to avoid network calls on CRAN.skip_on_cran() and
skip_if_not_installed("leaflet") guards for map tests.\u escapes.htmltools from
Imports.inst/WORDLIST).@return for all exported functions.conama_limits() now accepts
class argument for filtering.
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