Description Usage Arguments Value Examples
Fits linear model to predict y using each row in x and tests whether each slope is significant.
1 | rlm_beta_test(x, y, n = 1000)
|
x |
matrix whose rows are to be regressed vs. y |
y |
vector of numbers |
n |
number of trials for bootstrap and confidence intervals |
slopes of each row in x vs. y, confidence intervals, and P values
1 |
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