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lpp: (lines per page) and cpp: (columns per
page), overriding the deck-wide t_lpp/t_cpp
(tables) and l_lpp/l_cpp (listings) arguments
of generate_slides() for that slide only, so a short table
and a long one can use different densities in the same deck. Entries
without the fields are unchanged. Note that the gtsummary path still
recomputes lpp from the slide height (#121), so a spec
lpp does not yet affect it (#126).decor = FALSE slide paths, so no PPTX/XML
post-processing is needed.with_font_sizes() now forwards additional formatter
arguments supplied by its caller.t_mh_slide() integration and a reproducibly
generated synthetic eg_admh example dataset for
medical-history summaries.add_ai_story() (and an add_ai_story
MCP tool): a post-processing step that reads a generated
.pptx, asks an LLM to tell the story of the tables, and
inserts real content slides – a summary section at the front and a
conclusions section at the end – instead of hidden speaker notes.
get_ai_story() and add_story_slides() expose
the LLM call and the (network-free) slide insertion separately.
get_ellmer_chat() now also supports the
"anthropic" platform. get_ai_story() falls
back to plain-text JSON mode for providers that do not support native
structured output (e.g. DeepSeek).generate_slides() now reads an
optional font_size: block
(body/header/footer) and
table_format from each output’s spec entry, and a deck-wide
font_size argument. Sizes are applied via the new exported
with_font_sizes() helper, which injects sizes into any
table formatter (only forwarding sizes the formatter accepts).autoslider_format() and black_format_tb()
gain a footer_font_size argument.to_flextable.data.frame(): font_size now
defaults to NULL and the uniform font override is only
applied when it is explicitly set, so font sizes coming from
table_format are no longer overwritten. Note: plain
data-frame slides that previously rendered at the hard-coded 9pt now
follow the sizes from table_format unless
font_size is supplied.apply_tokens() to substitute {token}
placeholders (e.g. {study}) in titles, footnotes and
placeholder slides with values from a user-controlled
metadata list, so study-level text can be driven from
metadata instead of edited in the deck.read_metadata() and an example
metadata.yml
(system.file("metadata.yml", package = "autoslider.core"))
so {token} values can be kept in a yaml file.
read_spec() now also accepts a metadata file path for its
metadata argument and reads it for you,
e.g. read_spec("spec.yml", metadata = "metadata.yml").officer version 0.7.0.styler from suggests.officer dependency on function
layout_default.inst/templates/.tlg_templates ,
adding_templates, use_LLM, and
using_format.use_templates for specified
packages.append_all_slides()g_vs_slide)
from g_mean_general().use_LLM.ellmer dependency, enable AI prompt.split_rows_by and
analysis on the same variable multiple times, enhancing the
table paths. Upstream enhancement from rtables.l_ae_slide example.g_lb_slide,
g_eg_slide, g_vs_slide,
l_ae_slide and t_ds_slide.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.