Elegant way to report missing values in a data.frame

Here's a little piece of code I wrote to report variables with missing values from a data frame. I'm trying to think of a more elegant way to do this, one that perhaps returns a data.frame, but I'm stuck:

for (Var in names(airquality)) {
    missing <- sum(is.na(airquality[,Var]))
    if (missing > 0) {

Edit: I'm dealing with data.frames with dozens to hundreds of variables, so it's key that we only report variables with missing values.


Just use sapply

> sapply(airquality, function(x) sum(is.na(x)))
  Ozone Solar.R    Wind    Temp   Month     Day 
     37       7       0       0       0       0

You could also use apply or colSums on the matrix created by is.na()

> apply(is.na(airquality),2,sum)
  Ozone Solar.R    Wind    Temp   Month     Day 
     37       7       0       0       0       0
> colSums(is.na(airquality))
  Ozone Solar.R    Wind    Temp   Month     Day 
     37       7       0       0       0       0 

Need Your Help

Custom URL in Codeigniter using htacess

.htaccess codeigniter

I am developing a site on Codeigniter 2.0.2 . Its a site where companies/users can signup and create their own profile page, have their own custom url(like http://facebook.com/demouser), have their...

jquery.mobile, asp.net, native anchor handling

asp.net ipad jquery-mobile windows-phone-8

I have an application that I am developing with jquery.mobile (1.3.1) over asp.net 4.5.

About UNIX Resources Network

Original, collect and organize Developers related documents, information and materials, contains jQuery, Html, CSS, MySQL, .NET, ASP.NET, SQL, objective-c, iPhone, Ruby on Rails, C, SQL Server, Ruby, Arrays, Regex, ASP.NET MVC, WPF, XML, Ajax, DataBase, and so on.