News for hackers. Stuff that matters.
Re:R: the good parts by jzwinck on Monday April 07, 2014 @10:35AM (#7546688)
Most folks use IEEE floats as their value type, so in a way a whole lot of libraries have supported missing values for a long time. Many languages can use 32- and 64-bit floats; R can only use one or the other (you have to rebuild it to change this). This can make your big data twice as big as it should be. In that, R is in the company of such serious number-crunching languages as Lua, JavaScript, and Splunk.
Re:R: the good parts by jmount on Monday April 07, 2014 @11:04AM (#7546851)
R has good representation of missing values over integer, logical, string and categorical data types also.
Re:R: the good parts by dbaupp on Monday April 07, 2014 @10:45AM (#7546737)
How many of the libraries do something sensible when given NaNs? I'd assume a nontrivial number give junk output (i.e. not even reliably NaN).