{"blog_url":"https://chaos-r.hatenadiary.jp/","description":"In this article, we perform Detrended Fluctuation Analysis (DFA) using R. Although there are existing R packages for DFA, here we implement it without relying on any dedicated DFA package. How DFA is computed \u2014 theory and R implementation side by side Step 1: Prepare the time series and remove the m\u2026","categories":["Fundamentals of Fractal Time Series Analysis","R","time series analysis"],"version":"1.0","provider_name":"Hatena Blog","width":"100%","blog_title":"Ken-Chaos\u2019s Random Notes on R","author_name":"chaos_kiyono","title":"Long-Range Correlation Scaling Analysis Using Detrended Fluctuation Analysis (DFA) in R","author_url":"https://blog.hatena.ne.jp/chaos_kiyono/","url":"https://chaos-r.hatenadiary.jp/entry/2026/02/01/023212","published":"2026-02-01 02:32:12","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchaos-r.hatenadiary.jp%2Fentry%2F2026%2F02%2F01%2F023212\" title=\"Long-Range Correlation Scaling Analysis Using Detrended Fluctuation Analysis (DFA) in R - Ken-Chaos\u2019s Random Notes on R\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/chaos_kiyono/20220616/20220616004707.png","provider_url":"https://hatena.blog","height":"190"}