I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

Regression in RIn this short course we will provide an introduction to linear regression and how to utilize it in R. We will cover the theory of linear regression as well as demonstrating how to use R ...

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...

We provide a remedy for two concerns that have dogged the use of principal components in regression: (i) principal components are computed from the predictors alone and do not make apparent use of the ...

Beginning with a discussion of R. A. Fisher's early written remarks that relate to dimension reduction, this article revisits principal components as a reductive method in regression, develops several ...

We developed affinity regression, a machine-learning approach to predict the nucleic acid recognition code for TF or RBP families directly from protein sequence and probe-level binding data from ...