Description Usage Arguments Details Value Examples
View source: R/LinearRegression.R
This function performs Linear Regression on the input data with 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.
1 | LinearRegression(x, y)
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x |
Numeric vector. x values. |
y |
Numeric vector. corresponding y values. |
This function calculates m and c in the linear equestion, y = mx + c.
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.
1 2 3 4 5 | x <- 1:10
y <- 1:10
results <- LinearRegression(x,y)
m <- results$coefficients[[2]]
c <- results$coefficients[[1]]
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