I'm using R to filter data in the case where two columns ARE NOT missing. When I enter the code in two different ways, the total count of rows are not the same. Are the following codes saying the same thing?
df <- subset(df, !is.na(columnA) & !is.na(columnB))
df <- df[!(is.na(df$columnA) & is.na(df$columnB)), ]
It appears that the first code is deleting rows where column A OR column B is empty. Whereas, code 2 actually deletes the row IF column A AND column B is empty.
