The following method creates model formula in an automated fashion. In this program, df is a name of dataframe. 'admit' is a target variable. And we are building logistic regression.
names(df) <- make.names(names(df))
y <- "admit"
x <- names(df)[!names(df) %in% y]
mymodel <- as.formula(paste(y, paste(x, collapse="+"), sep="~"))
glm(mymodel, data=df, family = binomial)
Suppose you want to include all the predictors except one.
glm(admit~.-rank, data = df, family = binomial)
Here, we are telling R to ignore variable rank while building model.
Drop more than one variable in formula
glm(admit~.-rank -gre, data = df, family = binomial)
Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and HR.
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