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Hi - I am interested in solving variance components for the data below with respect to the response variable, Expression within R. However, the covariates aren't independent and they also have a class (of which the total variance explained by covariates in that class I am most interested in). Very naively, I have tried to look at each individual covariates variance like this >

Hello - I am trying to figure out R's transformation for interaction terms in a linear regression. My simple background understanding is that interaction terms are generally calculated by multiplying the centred (0-mean) variables with each other and then doing the regression. However, in this regard I would have expected to see the same p-value when I calculate summary(lm(Y~A:B)) for A:B

Hi - If I have a hypothetical distribution as an array distribution<-c(0,1,2,3,4,5,6,7,8,9) and I want to find the probability there is a value smaller than a new value. new_value<-4 (such that I'd get this type of output) new_value p-value 4 0.5 3.4 0.4 3 0.4 0 0.1 -1 0.0 Thanks for the help, I bet this is really easy... :/ Stephen -- The Wellcome Trust Sanger Institute is