We need a dataframe to have both dependent and independent variables in one row. Yet, this is not a dataframe that we are looking for.
CREATING A LOOP IN R CODE
Remember, this code is specific for linear mixed effect models. If you don’t know which part to modify, leave a comment below and I will try to help.Īs other loops, this call variables of interest one by one and for each of them extract and store the betas, standard error and p value. linear regression), if you modify it according to your regression model. The loop should work with other regression analysis (i.e. I used linear mixed effect model and therefore I loaded the lme4 library. 1x100 v1 v2 v3Ĭreate vectors for the position of the dependent and independent variables in your dataset. A loop is a control statement that allows multiple executions of a statement or a set of statements. Loops come in the class of the most fundamental and strong programming concepts. OK, now lets begin: the dataset that I received had all the variables in columns and observations in rows (the data is not real, just random numbers for illustration purposes): id dx1 dx2. Loops in R (for, while, repeat) In R programming, we require a control structure to run a block of code multiple times. Something like this (those numbers are just for illustration purposes): d i beta se pvalue The output should be a data frame with 5 columns, including dependent variable, independent variable, beta estimate, standard error and the p-value. So models will be something like this: (dx is dependent and ix is independent variable, v are other variables) dx1 = ix1 + v1 + v2 + v3 Regression models with multiple dependent (outcome) and independent (exposure) variables are common in genetics. She wanted to evaluate the association between 100 dependent variables (outcome) and 100 independent variable (exposure), which means 10,000 regression models. A friend asked me whether I can create a loop which will run multiple regression models.
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