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Hello, I've been using various packages in R for a few years now to analyse genomics data but I've just come up with some errors for which I can’t seem to find a solution. Here’s the situation: > source("http://harlequin.jax.org/rmodel/packages/downloadRmodel.R") > getRmodelHuman() also installing the dependency ‘rmodel’ trying URL

Greetings R users, maybe there is someone who can help me with this problem: I define a function "optim.fun" and want as output the sum of squared errors between predicted and measured values, as follows: optim.fun <- function (ST04, SM08b, ch2no, a, b, d, E) { predR <- (a*SM08b^I(2)+b*SM08b+d)*exp(E*((1/(283.15-227.13))-(1/(ST04+273.15-227.13)))) abserr

Hey all, I'm performing polynomial regression. I'm simulating x values using runif() and y values using a deterministic function of x and rnorm(). When I perform polynomial regression like this: fit_poly <- lm(y ~ poly(x,11,raw = TRUE)) I get some NA coefficients. I think this is due to the high correlation between say x and x^2 if x is distributed uniformly on the unit interval