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RfastOfficial / Rfast

A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. Note 2: Do not have matrices or vectors with have missing data (i.e NAs). We do no check about them and C++ internally transforms them into zeros (0), so you may get wrong results. Note 3: In general, make sure you give the correct input, in order to get the correct output. We do no checks and this is one of the many reasons we are fast.
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Missing `intercept` value in fitting Linear Regression using `lmfit` #101

Closed luna02100 closed 1 month ago

luna02100 commented 4 months ago

When I fit a linear regression using lmfit, I noticed that there is a missing component, and that is the intercept of the linear model.

> Rfast::lmfit(x = as.matrix(cbind(x1,x2)),y = y)
$be
       [,1]
x1 1.987387
x2 2.977526
attr(,"names")
[1] "x1" "x2"

While fitting a linear regression using base R:

> form_ex
y ~ x1 + x2

> lm(form_ex)

Call:
lm(formula = form_ex)

Coefficients:
(Intercept)           x1           x2  
     0.1084       1.9732       2.9806
statlink commented 4 months ago

Hi Joshbal, you are suppose to provide the design matrix. This function is similar R's .lm.fit() function.

luna02100 commented 1 month ago

Hi, one-winged here. I know it's

luna02100 commented 1 month ago

Hi, one-winged here. It's been 3 months since I create this issue. Yeah, it turns out that I entered the data wrong.

luna02100 commented 1 month ago

I request to delete this issue if you may.