LinearRegressionFP {Linnorm} | R Documentation

## One Pass Linear Regression with fixed point.

### Description

This function performs Linear Regression on the input data with a fixed point. It uses a one pass algorithm implemented in C++. This is for users who only need m and c from the y=mx + c equation. Compared to the lm function, this function is much faster.

### Usage

    LinearRegressionFP(x, y, x1, y1)

### Arguments

`x` | Numeric vector. x values.
`y` | Numeric vector. corresponding y values.
`x1` | Numeric. x coordinate of the fixed point.
`y1` | Numeric. y coordinate of the fixed point.

### Details

This function calculates m and c in the linear equestion, y = mx + c.

### Value

This function returns a list with one object, "coefficients". The first element in this object is c; the second element is m in the y = mx + c equation.

### Examples

    x <- 1:10
    y <- 1:10
    x1 <- 1
    y1 <- 2
    results <- LinearRegressionFP(x,y, x1, y1)
    m <- results$coefficients[[2]]
    c <- results$coefficients[[1]]

[Package Linnorm version 2.16.0 Index]