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Hi Could you please explain the line that I got from the documentation of R? does it mean that there is a difference between using and not using the formula interface with SVM ?: If the predictor variables include factors, the formula interface must be used to get a correct model matrix. Cheers, Amy _________________________________________________________________ View photos of

Hello I have a data array with soil variables (caperf), in which the variable "clay" is factor (as I see entering str(caperf)) . I need to do a regression model, so I need to have arcilla (=clay) as a numeric variable.? For that I have entered as.numeric(as.character(arcilla)) and even entering 'as.numeric(levels(arcilla))[arcilla]'the variable is resting as factor, and the

...Reports Tasks Team User Portal Visualization Product: Pro/CONCEPT Module ------------------- Documentation Installation Online_Help Pro/CONCEPT Product: Pro/DESKTOP Module ------------------- ANIMATION API ASSEMBLY ATB CONFIGURATIONS DATA INTERFAC...

...Reports Tasks Team User Portal Visualization Product: Pro/CONCEPT Module ------------------- Documentation Installation Online_Help Pro/CONCEPT Product: Pro/DESKTOP Module ------------------- ANIMATION API ASSEMBLY ATB CONFIGURATIONS DATA INTERFAC...

...Reports Tasks Team User Portal Visualization Product: Pro/CONCEPT Module ------------------- Documentation Installation Online_Help Pro/CONCEPT Product: Pro/DESKTOP Module ------------------- ANIMATION API ASSEMBLY ATB CONFIGURATIONS DATA INTERFAC...