{"width":"100%","published":"2023-01-09 19:00:46","height":"190","provider_url":"https://hatena.blog","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","author_url":"https://blog.hatena.ne.jp/cross_hyou/","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20230109/20230109182253.jpg","type":"rich","categories":["Data_Analysis"],"description":"Unsplash\u306eEean Chen\u304c\u64ae\u5f71\u3057\u305f\u5199\u771f www.crosshyou.info This post is following of the above post.I will calculate confidence interval in this post. There are two ways to calclulate confidence interval, one is bootstrap method and the other is traditional(formula) method. To do bootstrap, I load infer package. \u2026","provider_name":"Hatena Blog","url":"https://www.crosshyou.info/entry/2023/01/09/190046","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2023%2F01%2F09%2F190046\" title=\"OECD Nuclear power plants data analysis 2 - Getting Confidence Interval using R with infer package - R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"OECD Nuclear power plants data analysis 2 - Getting Confidence Interval using R with infer package","blog_url":"https://www.crosshyou.info/","version":"1.0","author_name":"cross_hyou"}