Titlebook: Beginning R; An Introduction to S Larry Pace Book 2012 Larry Pace 2012

玷污

Spezifische Sicherheitskonzepte,or problem with discriminant analysis, namely that it can take advantage only of continuous predictors. A more modern technique to the prediction (and classification as desired) of group membership in two groups represented by 0s and 1s is known as logistic regression. Logistic regression allows the use of both continuous and binary predictors.

FAZE

Mortal

LUT

Programming in R, function call should perform a well-defined computation relying on the arguments passed to the function (or to default values for arguments). Everything in R is an object, including a function, and in this sense, R is an . programming language.

cortex

Multiple Regression,As a bonus, I show you how to use matrix algebra to solve a regression model. This will enhance both your R skills and your statistical understanding, and will help you with more advanced topics such as multivariate analyses (which are beyond the scope of this beginning text).

separate

HEAVY

Fortify

定點

Writing Reusable Functions,unctions and thousands more contributed by the R community. Before you consider writing your own function for a particular problem, check the R documentation and discussions to see if someone else has already done the work for you. One of the best things about the R community is that new packages ap

Morbid

Summary Statistics,and, more important, reports the statistical results. We cover the standard descriptive statistics from a business statistics class. If you have not taken statistics or are a little rusty, I recommend David Moore’s business statistics books. Although it is a toss-up whether to cover graphs or numeri