linSolveX: Solve for X based on models parameters
In MichaelJMahometa/OnRampsR: Collection of functions for The University of Texas OnRamps Statistics course.

Given some set of parameters specific to a particular model, solve for x.

1	linSolveX(y, a, b)

`y`	value of a y-axis point (single point).
`a`	intercept value of for a simple linear model.
`b`	slope value of for a simple linear model.

data(wolf)
wolf$Time <- wolf$Year - min(wolf$Year)
l <- linFit(wolf$Time, wolf$Number)
linSolveX(100, l$Intercept, l$Slope)

MichaelJMahometa/OnRampsR documentation built on Feb. 12, 2020, 12:31 a.m.

MichaelJMahometa/OnRampsR index

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description