I'm trying to initialize a data.frame without any rows. Basically, I want to specify the data types for each column and name them, but not have any rows created as a result.
The best I've been able to do so far is something like:
df <- data.frame(Date=as.Date("01/01/2000", format="%m/%d/%Y"),
File="", User="", stringsAsFactors=FALSE)
df <- df[-1,]
Just initialize it with empty vectors:
df <- data.frame(Date=as.Date(character()), File=character(), User=character(), stringsAsFactors=FALSE)
Here's an other example with different column types :
df <- data.frame(Doubles=double(), Ints=integer(), Factors=factor(), Logicals=logical(), Characters=character(), stringsAsFactors=FALSE) str(df) > str(df) 'data.frame': 0 obs. of 5 variables: $ Doubles : num $ Ints : int $ Factors : Factor w/ 0 levels: $ Logicals : logi $ Characters: chr
data.frame with an empty column of the wrong type does not prevent further additions of rows having columns of different types.
This method is just a bit safer in the sense that you'll have the correct column types from the beginning, hence if your code relies on some column type checking, it will work even with a
data.frame with zero rows.