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
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).
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
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