{"version":"1.0","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","type":"rich","published":"2022-01-03 16:00:33","title":"OECD Purchasing power parities (PPP) data analysis 6 - Time-Series Analysis using R. Static Time Series Model","provider_name":"Hatena Blog","description":"Photo by Sora Sagano on Unsplash www.crosshyou.info This post is following of the above post. In this post, I will do time-series analysis. I use JPN data only. Firstly, I make JPN only dataframe. Then, let's see statistical summary of df_JPN. summary() function does not show standard deviations and\u2026","author_url":"https://blog.hatena.ne.jp/cross_hyou/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2022%2F01%2F03%2F160033\" title=\"OECD Purchasing power parities (PPP) data analysis 6 - Time-Series Analysis using R. Static Time Series Model - 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>","blog_url":"https://www.crosshyou.info/","url":"https://www.crosshyou.info/entry/2022/01/03/160033","width":"100%","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20220103/20220103150858.jpg","height":"190","provider_url":"https://hatena.blog","author_name":"cross_hyou","categories":["Data_Analysis"]}