Statisticians are mad and out for blood. Someone called R an epic fail and said it wasn't the next big thing.
I know that R is free and I am actually a Unix fan and think Open Source software is a great idea. However, for me personally and for most users, both individual and organizational, the much greater cost of software is the time it takes to install it, maintain it, learn it and document it. On that, R is an epic fail. It does NOT fit with the way the vast majority of people in the world use computers. The vast majority of people are NOT programmers. They are used to looking at things and clicking on things.
How dare she, right? Here's the thing. She's right. Wait, wait, hear me out. For the general audience - the people who use Excel as their analysis tool - R is not for them. In this case, the one that appeals to non-statistician analysts, R, as they say, is an epic fail (and that is the last time I will say that stupid phrase).
However, R wasn't designed to enable everyday users to dig into data. It was designed to enable statisticians with computing power. It's a statistical computing language largely based on S, which was developed in the 1970s by the super smart John Chambers of Bell Labs. The 1970s. Weren't people using slide rules still? Or maybe it was the abacus. Can't remember. Oh wait, I wasn't born yet. In any case, there's really no need to get into the whole R-for-general-audience conversation — just like we don't need to talk about why The SpongeBob SquarePants Movie lacked emotional depth.