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If I run glm(company rank ~ sales + region, ...) I get a rough set of company rank to sales. Company rank is a factor from A:D, so even when I try something like multinom(), I get factors B:D but not A. I understand A acts as the intercept but I'd like to get the individual values to every single sale in a region.

What would be the best way to go about getting every comparable value from A:D?

NelsonGon
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Conor
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  • You may [cancel out the intercept](https://stackoverflow.com/questions/14216893/how-to-remove-intercept-in-r) from the equation. But nothing really changes. The intercept gives the info about the factor A. And one more important thing. Other Factors (B:D) do not give you the individual effects , they are nothing but the "relative effects" wrt to factor A which is represented in the constant value. – maydin Jul 15 '19 at 18:33
  • is there a better method or package where I could get the individual effects of every variable without that being the case? @maydin – Conor Jul 15 '19 at 19:34
  • It is not a weakness, it is a necessity . You need to learn about "dummy trap". Just google it, you will get the point. – maydin Jul 15 '19 at 19:47

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