{"version":"1.0","provider_url":"https://hatena.blog","author_name":"M_taka072","type":"rich","height":"190","provider_name":"Hatena Blog","width":"100%","blog_title":"\u3068\u3042\u308b\u6280\u8853\u8005\u306e\u5f92\u7136\u8349","description":"ggplot\u30b0\u30e9\u30d5\u3092\u8907\u6570\u8868\u793a \u30ea\u30b9\u30c8\u306b\u30b0\u30e9\u30d5\u3092\u7e70\u308a\u8fd4\u3057\u4ee3\u5165\u3057\u3066\u307e\u3068\u3081\u3066\u8868\u793a\u3059\u308b\u3084\u308a\u65b9\u306e\u30e1\u30e2\u3002 library(dplyr) library(gridExtra) #sdf <- sample_frac(multi.regression.compounds,size = 0.05) #pairs(sdf) #sdf\u306f1\u5217\u76ee\u304c\u76ee\u7684\u95a2\u6570 \"preprocessed.y varname <- names(sdf)[2:10] #\u7a7a\u306e\u30ea\u30b9\u30c8\u3092\u4f5c\u6210 plots <- list() for(i in 1:length(varname)){ plots[[i]] <- ggplot(sdf , aes_str\u2026","title":"\u3010R\u8a00\u8a9e\u3011ggplot\u30b0\u30e9\u30d5\u3092\u8907\u6570\u8868\u793a","blog_url":"https://monodukuri.hatenadiary.com/","image_url":null,"categories":["R\u8a00\u8a9e","\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0"],"published":"2019-10-27 23:05:47","url":"https://monodukuri.hatenadiary.com/entry/2019/10/27/230547","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fmonodukuri.hatenadiary.com%2Fentry%2F2019%2F10%2F27%2F230547\" title=\"\u3010R\u8a00\u8a9e\u3011ggplot\u30b0\u30e9\u30d5\u3092\u8907\u6570\u8868\u793a - \u3068\u3042\u308b\u6280\u8853\u8005\u306e\u5f92\u7136\u8349\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_url":"https://blog.hatena.ne.jp/M_taka072/"}