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how to debug “factor has new levels” error for linear model and prediction [duplicate]

Finding where two linear fits intersect in R

Linear model function lm() error: NA/NaN/Inf in foreign function call (arg 1)

Messy plot when plotting predictions of a polynomial regression using lm() in R

Showing equation of nls model with ggpmisc

R error which says “Models were not all fitted to the same size of dataset”

Set one or more of coefficients to a specific integer

predict.lm() with an unknown factor level in test data

Showing string in formula and not as variable in lm fit

How about eval(call(“lm”, sformula))? lm(sformula) #Call: #lm(formula = sformula) eval(call(“lm”, sformula)) #Call: #lm(formula = “y~x”) Generally speaking there is a data argument for lm. Let’s do: mydata <- data.frame(y = y, x = x) eval(call(“lm”, sformula, quote(mydata))) #Call: #lm(formula = “y~x”, data = mydata) The above call() + eval() combination can be replaced by do.call(): … Read more

Is there a faster lm function

Yes there are: R itself has lm.fit() which is more bare-bones: no formula notation, much simpler result set several of our Rcpp-related packages have fastLm() implementations: RcppArmadillo, RcppEigen, RcppGSL. We have described fastLm() in a number of blog posts and presentations. If you want it in the fastest way, do not use the formula interface: … Read more