> design = model.matrix(~ fac1 * fac2 * data_to_model$Time)
> fit = lmFit(data_to_model, design)
Error in rowMeans(y$exprs, na.rm = TRUE) : 'x' must be numeric
> design = model.matrix(~ fac1 * fac2 * data_to_model$Time *
data_to_model$Value)
> fit = lmFit(data_to_model, design)
Error in rowMeans(y$exprs, na.rm = TRUE) : 'x' must be numeric

fac1 is a factor
fac2 is a factor
data_to_model$Time is a numeric

my data_to_model data.frame is something like that

Tissue Type Time Value
Tis1     Ty1  Ti1    Val1
Tis1     Ty1  Ti1    Val2
...
and
fac1 = factor(data_to_model$Type)
fac1 = factor(data_to_model$Tissue)

where is the midtake in R..any help plz

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