Plotting linear regression of mean colour % over altitude

[pieterjanvc]

Hello,

Building a regression model is not difficult in R, but you need to have the correct data. Numeric data works very well, but for categorical data (e.g. Mother ID or species) things are more complex as you'll have to create a one-hot vector representation. R functions can do this for you, but if you have many categories, it might make the model more complex and less robust.

Please take a look at one of my older posts for more details

Should categorical and ordinal variables be converted to factors if their values are already numeric?

If the the categorical data is already given in numeric variable for like 1,2,3,4..... Then should we convert it into factor variable or should we convert it into dummy variable. What about the ordinal variables, do we need to convert them to factor variable for ordering them in right fashion before doing regression model ?

Hope this helps,
PJ