{"author_name":"iDES","title":"HTMT\u3092semTools\u3067\u6c42\u3081\u308b[R]","image_url":null,"url":"https://ides.hatenablog.com/entry/2020/11/06/205152","categories":["\u8a08\u91cf","\u69cb\u9020\u65b9\u7a0b\u5f0f\u30e2\u30c7\u30ea\u30f3\u30b0"],"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fides.hatenablog.com%2Fentry%2F2020%2F11%2F06%2F205152\" title=\"HTMT\u3092semTools\u3067\u6c42\u3081\u308b[R] - \u4e95\u51fa\u8349\u5e73\u306e\u7814\u7a76\u30ce\u30fc\u30c8\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","type":"rich","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/iDES/","version":"1.0","description":"www.rdocumentation.org library(semTools) HS.model <- ' visual =~ x1 + x2 + x3 textual =~ x4 + x5 + x6 speed =~ x7 + x8 + x9 ' dat <- HolzingerSwineford1939[, paste0(\"x\", 1:9)] htmt(HS.model, dat, sample.cov = NULL, missing = \"listwise\", ordered = NULL, absolute = TRUE) \u7d50\u679c\u3002 visual textul speed visual\u2026","width":"100%","blog_title":"\u4e95\u51fa\u8349\u5e73\u306e\u7814\u7a76\u30ce\u30fc\u30c8","height":"190","published":"2020-11-06 20:51:52","blog_url":"https://ides.hatenablog.com/","provider_url":"https://hatena.blog"}