linreg-class: Linreg Class

In AnnalenaE/advanced-r-4: Linear Regression

Description

This class does linear regression and provided different methods to display the data.

Value

Nothing.

Fields

l_X

matrix. Independent Values.

l_y

matrix. Depenent Values.

l_beta

matrix. Regression Coeffcients.

l_y_fitted_values

matrix. Fitted Values.

l_e

matrix. Residuals.

l_n

numeric. Number of Independant Values (Number of Observations).

l_p

numeric. Number of Dependant Values (Number of Parameters in the Model).

l_df

numeric. Degrees of freedom.

l_sigma_s

matrix. Residual Variance.

l_var_beta

matrix. Variance of the Regression Coefficients.

l_formula

formula. The Formula for the Linear Regression.

l_p_values

numeric. P-Values.

l_t_beta

matrix. T-Values for each Coefficient.

l_data_set_name

character. The Given Data.

Methods

coef()

Returns the Coefficients

initialize(formula, data)

Constructor for creating the object. Arguments are the formlua and the corresponding data frame.

plot()

Plots the Fitted Values one time with the Residuals and one time with standardized Residuals

pred()

Returns the Fitted Values

print()

Prints some basic information like the coefficients.

resid()

Returns the Residuals

summary()

Prints a summary of the Linear Regression

AnnalenaE/advanced-r-4 documentation built on May 9, 2019, 3:20 a.m.