以åæ¸ããã¡ã¢ã«ãã©ãã¯ããã¯ãé æ´ãã¾ããã id:kosugitti:20091203 æ¬å½ã«ãã ã®ã¡ã¢ã ã£ãã®ã§ãªãã¨ãç³ã訳ãªãã ãªã®ã§ãè©«ã³ã«ãlca() 㨠poLCA() 㨠randomLCA() ã®ç°¡åãªæ¯è¼ã§ããã¦ã¿ã¾ãããã # æ½å¨ã¯ã©ã¹åæã®ããã±ã¼ã¸ãããã library(e1071) # lca() library(poLCA) # poLCA() library(randomLCA) # randomLCA() # æ¯è¼ã®ããã«ä½¿ããã¼ã¿ã»ãããpoLCAããã±ã¼ã¸ã«å ¥ã£ã¦ããã data(carcinoma) ããããã®é¢æ°ã§åããã¼ã¿ãåæãã¦bicãæ¯ã¹ã¦ã¿ã¾ãã ã¾ãã¯åæã®å®è¡ã # e1071ããã±ã¼ã¸ã®lca()ã®ä¾ xx <- countpattern(carcinoma - 1) # lca()ã§åæã§ããå½¢ã«å¤æ lca.bic <-
When you work with R for some time, you really start to wonder why so many R packages have some kind of pun in their name. Intended or not, the poLCA package is one of them. Today i´ll give a glimpse on this package, which doesn´t have to do anything with dancing or nice dotted dresses. This article is kind of a draft and will be revised anytime. The âpoLCAâ-package has its name from âPolytomous L
Hypothetical Scenarios Example 1 You are interested in studying drinking behavior among adults. Rather than conceptualizing drinking behavior as a continuous variable, you conceptualize it as forming distinct categories or typologies. For example, you think that people fall into one of three different types: abstainers, social drinkers and alcoholics. Since you cannot directly measure what categor
The .gov means itâs official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure youâre on a federal government site. The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
The .gov means itâs official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure youâre on a federal government site. The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
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