How to ensure that a row does not equal "" in a dataframe? : I am pretty new to R, come from a Python background. I have loaded a dataframe as such:

    df = read.csv('data.csv', stringsAsFactors = FALSE, 
    colClasses = colClass,na.strings = c("NA", ""))

My objective is to ensure that there are no missing values in my dataframe. I was thinking of writing code as such:

    df = na.omit(df)
It wasn't removing the missing values, I then realized that it could be because of the importing of the dataframe. I imported it into a dataframe where I changed the "NA" to "". 

My question is, is there a function similar to NA in which  I could explicitly remove rows that have values ""? 

Any help would be great!
