Linreg RC class

*linreg* is a pilot RC project to carry out linear regression. Given \code{formula} and data source \code{data}, it will find the best fitted linear regression model.

Plus, there is a QR-decomposation presented which is called when *qr* set TRUE to carry out linear regression in a robust way. Also a Linköping University's theme has been embedded into the plot.

*formula*, a suggested linear regression model
*data*, a data source used to train the model
*guo*, a list of key results from regression, including Coefficients, FittedValues, Residuals, FreedomDegree, VarianceResiduals, StdErrorResiduals, VarianceCoefficients, StdError, Tcoefficients, Possibility, X, Y, Formula, Data, VariableNames.

print() print out the coefficients and coefficient names, similar as done by the lm class plot() plot the following two plots using ggplot2. Remember to include ggplot2 in your package resid() return the vector of residuals pred() return the predicted values coef() return the coefficients as a named vector summary() return a printout including the coefficients with their standard error, t-value and p-value as well as the standard error of residuals and the degrees of freedom in the model.

Pass status of Travis building: https://travis-ci.org/yewei369/FancyPackRLiU4.svg?branch=master

name<-"Jun Li" liuid<-"junli559"

yewei369/FancyPackRLiU4 documentation built on Nov. 5, 2019, 12:34 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.