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_bookdown.yml
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_bookdown.yml
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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_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",
# 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",
"Appendix.Rmd",
"reference_answer.Rmd",
"reference_books.Rmd"
]