search for: 0.5350

Hi all, I have a pretty basic question about categorical variables but I can't seem to be able to find answer so I am hoping someone here can help. I found that if the factor names are all in numbers, fitting the model in lm would return labels that are not very recognizable. # Example: let's just assume that we want to fit this model fit <- lm(height ~ age + Seed,

Hola compañeros de la lista. Tengo el siguiente set de datos: Repeticiones <- c(rep("RI", 14), rep("RII", 14), rep("RIII", 14)) Tiempo <- rep(c(0, 2, 4, 6, 8, 10, 12, 24, 36, 48, 60, 72, 96, 120), 3) Concentracion_celular <- c(0.4862, 0.5375, 0.4309, 0.4390, 0.4603, 0.4733, 0.3936, 0.9085, 0.5838, 0.5477, 0.6331, 0.8693, 1.0092, 0.6341, 0.5350,

Thank you very much for your reply. Your code work well with this example. I modified a little to fit my real data, I got an error massage. Error in split.default(x = seq_len(nrow(x)), f = f, drop = drop, ...) : Group length is 0 but data length > 0 On Thu, Jan 31, 2013 at 12:21 PM, arun kirshna [via R] < ml-node+s789695n4657196h87@n4.nabble.com> wrote: > Hi, > Try this: >