_bookdown.yml

book_filename: R4DS
new_session: true
clean: [packages.bib, bookdown.bbl]
delete_merged_file: true
language:
  label:
    fig: "图 "
    tab: "表 "
  ui:
    edit: "编辑"
    chapter_name: ["第 ", " 章"]

rmd_files: [
  "index.Rmd",
  "author.Rmd",


  # 基础篇
  "baseR_intro_ds.Rmd",
  "baseR_install.Rmd",
  "baseR_objects.Rmd",
  "baseR_vector.Rmd",
  "baseR_data_structure.Rmd",
  "baseR_operators.Rmd",
  "baseR_functions.Rmd",
  "baseR_functions_adv.Rmd",
  "baseR_subsetting.Rmd",

  # tidyverse篇
  "tidyverse_rmarkdown.Rmd",
  "tidyverse_readr.Rmd",
  "tidyverse_dplyr.Rmd",
  "tidyverse_dplyr_apply.Rmd",
  "tidyverse_ggplot2_aes2.Rmd",
  "tidyverse_tidyr.Rmd",
  "tidyverse_tidyr2.Rmd",
  "tidyverse_stringr.Rmd",
  "tidyverse_forcats.Rmd",
  "tidyverse_tibble.Rmd",
  "tidyverse_purrr.Rmd",
  "tidyverse_purrr_adv.Rmd",
  "tidyverse_ggplot2_geom.Rmd",
  "tidyverse_ggplot2_scales.Rmd",
  "tidyverse_ggplot2_theme.Rmd",
  "tidyverse_ggplot2_guides.Rmd",
  "tidyverse_ggplot2_customize.Rmd",
  "tidyverse_ggplot2_stat_layer.Rmd",
  "tidyverse_ggplot2_from_layer_to_geom.Rmd",
  "tidyverse_ggplot2_colors.Rmd",
  "tidyverse_ggplot2_guides_override_aes.Rmd",
  "tidyverse_ggplot2_aes_eval.Rmd",
  "tidyverse_ggplot2_academic.Rmd",
  "tidyverse_ggplot2_gganimate.Rmd",
  "tidyverse_ggplot2_pass_function_to_parameters.Rmd",
  "tidyverse_workflow.Rmd",
  "tidyverse_tips.Rmd",
  "tidyverse_dplyr_adv.Rmd",
  "tidyverse_styler.Rmd",
  "tidyverse_colwise.Rmd",
  "tidyverse_beauty_of_across1.Rmd",
  "tidyverse_beauty_of_across2.Rmd",
  "tidyverse_beauty_of_across3.Rmd",
  "tidyverse_beauty_of_across4.Rmd",
  "tidyverse_beauty_of_purrr1.Rmd",
  "tidyverse_NA.Rmd",
  "tidyverse_dot.Rmd",
  "tidyverse_tidyeval.Rmd",

  # 建模篇
  "tidystats_sampling.Rmd",
  "tidystats_sampling_permute.Rmd",
  "tidystats_sampling_bootstrap.Rmd",
  "tidystats_lm.Rmd",
  "tidystats_broom.Rmd",
  "tidystats_t_test.Rmd",
  "tidystats_aov.Rmd",
  "tidystats_tests_as_linear.Rmd",
  "tidystats_infer.Rmd",
  "tidystats_lmm.Rmd",
  "tidystats_poisson_regression.Rmd",
  "tidystats_logistic_regression.Rmd",
  "tidystats_ordinal.Rmd",
  "tidystats_marginaleffects.Rmd",
  "tidystats_sem.Rmd",

  # tidymodels 篇
  "tidymodels_intro.Rmd",


  # 贝叶斯篇
  "bayesian_inference.Rmd",
  "bayesian_intro_stan.Rmd",
  "bayesian_lm.Rmd",
  "bayesian_t_test.Rmd",
  "bayesian_glm.Rmd",
  "bayesian_glm_logistic-binomial.Rmd",
  "bayesian_hierarchical.Rmd",
  "bayesian_mixtures.Rmd",
  "bayesian_categorical.Rmd",
  "bayesian_workflow.Rmd",
  "bayesian_tidybayes.Rmd",
  "bayesian_vaccine_effectiveness.Rmd",
  "bayesian_tokyo-olympics-100m.Rmd",
  "bayesian_GLMM.Rmd",


  # 应用篇
  "eda_nobel.Rmd",
  "eda_olympics.Rmd",
  "eda_covid2019.Rmd",
  "eda_anscombe.Rmd",
  "eda_height.Rmd",
  "eda_caribou.Rmd",
  "eda_penguins.Rmd",
  "eda_career_decision.Rmd",
  "eda_ames_houseprice.Rmd",
  "eda_mammal_species.Rmd",
  "eda_migration.Rmd",
  "eda_rvest.Rmd",
  "eda_tidygraph.Rmd",
  "eda_tidytext.Rmd",
  "eda_tibbletime.Rmd",
  "eda_stars.Rmd",
  "eda_rowwise.Rmd",
  "eda_lazyman.Rmd",
  "eda_pandas_vs_dplyr.Rmd",
  "eda_practice.Rmd",

  # 论文代码复现
  "replicate_paper.Rmd",
  "replicate_data_from_paper.Rmd",

  "Appendix.Rmd",
  "reference_answer.Rmd",
  "reference_books.Rmd"
]