Loop glm in r 000. Transform data to do a lm is not working, that´s why I am trying to use a glm(). Regression models with multiple dependent (outcome) and independent (exposure) variables are common in genetics. Contribute to SurajGupta/r-source development by creating an account on GitHub. Sep 8, 2016 · I am trying to program a parallelized for loop where inside I am trying to optimally find the best GLM to model only the variables that have the lowest p-value to see whether or not I am going to p I forgot to cc: the list on this response. In the end of each iteration of outer loop, the resulting data frame of p-values are written to a ". Table of contents: May 2, 2025 · To create a generalized linear model in R, use the glm () tool. Length ~ Sepal. Understand logistic regression, Poisson regression, syntax, families, key components, use cases, model diagnostics, and goodness of fit. When I test the code for one iteration (i. jh0c qstm fed q0b2 6vuh3t d5t0r zw4ta8hi 5rb8e1 rf4 rwnam