Learn R, right next to your own data. 用自己的資料學 R。

See the R behind an analysis看分析背後的 R

Zero typing. jamovi shows the exact R it ran for any analysis. 不用打字。任何分析，jamovi 都會顯示它實際跑過的 R。

1. Run any analysis (e.g. ANOVA).跑任一分析（例如 ANOVA）。
2. Top-right ⋮ menu → Syntax mode.右上 ⋮ 選單 → Syntax mode。
3. Each result now shows its jmv:: R call — copy it into Rj. 每個結果現在都會顯示對應的 jmv:: R 呼叫——複製到 Rj 就好。

This is the safest way to learn: the code is exactly what jamovi ran, so it can't be wrong. 這是最安全的學法：程式碼就是 jamovi 跑的那份，不會錯。

Run your own R in jamovi在 jamovi 裡跑你的 R

The Rj Editor runs R against your open dataset — no separate R install needed. Rj Editor 用你開著的資料跑 R——不必另外裝 R。

Open開啟

Analyses ▸ R ▸ Rj ▸ Rj Editor

Your data你的資料

data

Run執行

the ▶ / run button▶ / 執行鍵

# the open dataset is a data.frame called `data`
model <- aov(len ~ dose, data = data)
summary(model)

Rj is a module for the desktop version of jamovi (not jamovi Cloud). It uses the R packages bundled with Rj (tidyverse, readr, haven, and more); "Rj Editor +" can write results back as columns. Rj 是桌面版 jamovi 的模組（jamovi Cloud 沒有）。它用 Rj 隨附的 R 套件（tidyverse、readr、haven 等）；「Rj Editor +」可把結果存回成欄位。

Learn R from scratch從頭學 R

Beginner-friendly, community-standard references. 適合初學者的社群標準教材。

PsyTeachR

course-based, psychology-focused課程式、以心理學為主

R for Data Science

the modern intro現代入門 · CC BY-NC-ND

An Introduction to R

official manual官方手冊

Posit cheatsheets

one-page summaries一頁式速查 · CC BY

Also: PsyTeachR · An Introduction to R · Posit cheatsheets 另有：PsyTeachR · An Introduction to R · Posit cheatsheets

Write R with jamovi's functions用 jamovi 自家函式寫 R

The jmv package reproduces jamovi analyses in R, one function per analysis. jmv 套件在 R 裡重現 jamovi 分析，一個分析一個函式。

# same as Analyses ▸ ANOVA ▸ One-Way ANOVA
jmv::anovaOneW(data = data, deps = "len",
               group = "dose", phMethod = "tukey")

Tip: run the analysis in jamovi first, switch on Syntax Mode, and copy the jmv:: call it generated. 訣竅：先在 jamovi 跑分析、開啟 Syntax Mode，再複製產生的 jmv:: 呼叫。