lm_graddescent: Create linear model using gradient descent
In kimgannon/bis557: Contains Homework Assignments for BIS 557 2020

This function creates a linear model using gradient descent.

1	lm_graddescent(f, d, gamma, n, contrasts = NULL)

`f`	a formula the data will be fit too
`d`	the data to be fit (a data frame)
`gamma`	the step size (a positive number)
`n`	number of iterations (a positive integer)
`contrasts`	a list of variable names to be used as factor variables

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data("iris")
irisform <- Sepal.Length ~.
lm_graddescent(irisform, iris, 0.0001, 100000)

kimgannon/bis557 documentation built on Nov. 25, 2020, 7:09 a.m.

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