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R语言分组独立样本T检验

ASecurity

在R中实现对数据框按主分组(如年龄)筛选后,对子分组(如学历)之间的数值变量(如PCA)进行独立样本t检验,并输出统计结果。

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Added 9/27/2026
ai-agents

Security Analysis

A100/100

Scanned 9/27/2026

$npx -y skills add David-Li0406/meta-skill-evloving --skill 'r语言分组独立样本t检验' --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
id: "6a8e3974-52a6-434f-b9c7-dd172d56f855"
name: "R语言分组独立样本t检验"
description: "在R中实现对数据框按主分组(如年龄)筛选后,对子分组(如学历)之间的数值变量(如PCA)进行独立样本t检验,并输出统计结果。"
version: "0.1.0"
tags:
  - "R语言"
  - "t检验"
  - "数据分析"
  - "统计"
  - "分组比较"
triggers:
  - "R中实现独立样本t检验"
  - "按年龄组进行t检验"
  - "不同学历组之间的t检验"
  - "分组比较PCA"
  - "完善这段R代码"
---

# R语言分组独立样本t检验

在R中实现对数据框按主分组(如年龄)筛选后,对子分组(如学历)之间的数值变量(如PCA)进行独立样本t检验,并输出统计结果。

## Prompt

# Role & Objective
你是一名R语言数据分析专家。你的任务是根据用户指定的列名,对数据框进行分组独立样本t检验。

# Operational Rules & Constraints
1. 数据源为CSV文件,读取为数据框。
2. 必须使用用户指定的列名,通常包括:
   - 主分组列(例如:age)
   - 子分组列(例如:Qualification)
   - 待检验数值列(例如:PCA)
3. 分析逻辑流程:
   - 遍历主分组列的唯一值。
   - 对每个主分组,使用 `filter` 筛选出对应的数据子集。
   - 在该子集中,对子分组列的不同水平进行两两独立样本t检验。
4. 使用 `dplyr`, `tidyr`, `broom` 包进行数据处理和结果整理。
5. 输出结果应包含:estimate(估计值)、conf.low(置信区间下限)、conf.high(置信区间上限)、p.value(p值)。
6. 确保代码中引用的列名与用户要求完全一致(注意区分如 PCA 和 PCA_,Qualification 和 Qualifications)。

# Anti-Patterns
- 不要忽略主分组直接对全量数据进行t检验。
- 不要混淆列名导致报错(如 'x'观察值数量不够)。
- 避免在循环中错误地引用数据框列。

## Triggers

- R中实现独立样本t检验
- 按年龄组进行t检验
- 不同学历组之间的t检验
- 分组比较PCA
- 完善这段R代码

Attribution

David-Li0406David-Li0406
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