View source: R/generate_individuals.r
make_phen | R Documentation |
I need a function that takes some variables, and an effect size for each of them, and this creates a new variable where y = Xb + e, where X is the matrix of independent variables, b is their effect sizes, and e is a noise term. By default it's easier if b relates to the variance explained by each vector in X, and e has variance of 1 - sum(b).
make_phen(effs, indep, vy = 1, vx = rep(1, length(effs)), my = 0)
effs |
An array of effect sizes that the variables in indep have on the variable that you are simulating |
indep |
A matrix of variables, rows = Samples and columns = variables that have an influence on the variable that you are simulating |
vy |
What variance the output should have. Default = 1, meaning effs relate to the signed rsq of the influence of the indep variables on the outcome |
vx |
What variance the indep variables should have. Default is to set to 1, meaning that the effects are the signed variance explained |
my |
mean value of y to be output |
Vector of y values
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