From: Tyler Rinker <tyler_rinker_at_hotmail.com>

Date: Sun, 03 Apr 2011 15:46:54 -0400

R-help_at_r-project.org mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sun 03 Apr 2011 - 20:38:55 GMT

Date: Sun, 03 Apr 2011 15:46:54 -0400

I am at the 2 1/2 month mark as an R user and have loads to learn. Simpler is better. Thanks David for your time and I will take the information you gave and put it to use in new situations.

Tyler

> CC: r-help@r-project.org

*> From: dwinsemius_at_comcast.net
**> To: tyler_rinker_at_hotmail.com
**> Subject: Re: [R] Function for finding NA's
**> Date: Sun, 3 Apr 2011 14:19:40 -0400
**>
**>
**> On Apr 3, 2011, at 1:44 PM, Tyler Rinker wrote:
**>
**> >
**> > Quick question,
**> >
**> > I tried to find a function in available packages to find NA's for an
**> > entire data set (or single variables) and report the row of missing
**> > values (NA's for each column). I searched the typical routes
**> > through the blogs and the help manuals for 15 minutes. Rather than
**> > spend any more time searching I created my own function to do this
**> > (probably in less time than it would have taken me to find the
**> > function).
**> >
**> > Now I still have the same question: Is this function (NAhunter I
**> > call it) already in existence? If so please direct me (because I'm
**> > sure they've written better code more efficiently). I highly doubt
**> > I'm this first person to want to find all the missing values in a
**> > data set so I assume there is a function for it but I just didn't
**> > spend enough time looking. If there is no existing function (big if
**> > here), is this something people feel is worthwhile for me to put
**> > into a package of some sort?
**>
**> I'm not sure that it would have occurred to people to include it in a
**> package. Consider:
**>
**> getNa <- function(dfrm) lapply(dfrm, function(x) which(is.na(x) ) )
**>
**> > cities
**> long lat city pop
**> 1 -58.38194 -34.59972 Buenos Aires NA
**> 2 14.25000 40.83333 <NA> NA
**> > getNa(cities)
**> $long
**> integer(0)
**>
**> $lat
**> integer(0)
**>
**> $city
**> [1] 2
**>
**> $pop
**> [1] 1 2
**>
**> There are several packages with functions by the name `describe` that
**> do most or all of rest of what you have proposed. I happen to use
**> Harrell's Hmisc but the other versions should also be reviewed if you
**> want to avoid re-inventing the wheel.
**> --
**> David.
**>
**> >
**> > Tyler
**> >
**> > Here's the code:
**> >
**> > NAhunter<-function(dataset)
**> > {
**> > find.NA<-function(variable)
**> > {
**> > if(is.numeric(variable)){
**> > n<-length(variable)
**> > mean<-mean(variable, na.rm=T)
**> > median<-median(variable, na.rm=T)
**> > sd<-sd(variable, na.rm=T)
**> > NAs<-is.na(variable)
**> > total.NA<-sum(NAs)
**> > percent.missing<-total.NA/n
**> > descriptives<-data.frame(n,mean,median,sd,total.NA,percent.missing)
**> > rownames(descriptives)<-c(" ")
**> > Case.Number<-1:n
**> > Missing.Values<-ifelse(NAs>0,"Missing Value"," ")
**> > missing.value<-data.frame(Case.Number,Missing.Values)
**> > missing.values<-missing.value[ which(Missing.Values=='Missing
**> > Value'),]
**> > list("NUMERIC DATA","DESCRIPTIVES"=t(descriptives),"CASE # OF
**> > MISSING VALUES"=missing.values[,1])
**> > }
**> > else{
**> > n<-length(variable)
**> > NAs<-is.na(variable)
**> > total.NA<-sum(NAs)
**> > percent.missing<-total.NA/n
**> > descriptives<-data.frame(n,total.NA,percent.missing)
**> > rownames(descriptives)<-c(" ")
**> > Case.Number<-1:n
**> > Missing.Values<-ifelse(NAs>0,"Missing Value"," ")
**> > missing.value<-data.frame(Case.Number,Missing.Values)
**> > missing.values<-missing.value[ which(Missing.Values=='Missing
**> > Value'),]
**> > list("CATEGORICAL DATA","DESCRIPTIVES"=t(descriptives),"CASE # OF
**> > MISSING VALUES"=missing.values[,1])
**> > }
**> > }
**> > dataset<-data.frame(dataset)
**> > options(scipen=100)
**> > options(digits=2)
**> > lapply(dataset,find.NA)
**> > }
**> > [[alternative HTML version deleted]]
**> >
**> > ______________________________________________
**> > R-help_at_r-project.org mailing list
**> > **https://stat.ethz.ch/mailman/listinfo/r-help
**> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
**> > and provide commented, minimal, self-contained, reproducible code.
**>
**> David Winsemius, MD
**> West Hartford, CT
**>
*

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