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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