gt 包生成表格代码示例

2026-05-11
gt 包相当于表格界的 ggplot2，之前学了很多做表的包，要么语法不够优雅自然，要么功能不够强大，现在我只需要 gt 包就够了，尽管日常使用中我们的表格没有这个复杂，但是 gt 包真的把表格的各种要素全都考虑进来了，不用再学一堆包了，另外 gt 包的语法也更统一更简洁。对于国内大量使用 Word 文档的场景，再学习下 flextable 包就基本差不多了，flextable 和 officedown、officer生成深度集成。 先来重新认识下表的构成要素： 下面是一个学习 gt 包核心功能的代码示例：

加载必要的 R 包 library(dplyr) library(gt) # 准备数据 mtcars |> tibble::rownames_to_column("model") |> select( model, cyl, disp, hp, mpg, wt, qsec ) |> head(10) |> mutate( hp1 = …

It kinda makes sense that you can know roughly 700 people.

2026-05-11
In planning my new course I read through Daniel Bell’s 1973 book, The Coming of Post-Industrial Society. It doesn’t really have anything so relevant for the class, so it turns out I won’t be assigning any readings from it. But … Continue reading → …

Learning Data Science: Why a High R^2 Can Be Misleading

2026-05-11
A high can make a regression model look impressively accurate — but this number can be deceptive. If you want to understand why a high is not always a sign of a good model, read on! In the post, Learning Data Science: Modelling Basics, we built a simple model to predict …
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