using ggpairs with NA-continaing data
ggplot2, r
Solution
Some functions of `GGally` like `ggparcoord()` support handling NAs by `missing=[exclude,mean,median,min10,random]` parameter. However this is not the case for `ggpairs()` unfortunately.
What you can do is to replace NAs with a good estimation of your data you were expecting `ggpair()` will do automatically for you. There are good solutions like replacing them by row means, zeros, median or even closest point (Notice 4 hyperlinks on the words of the recent sentence!).
Problem
`ggpairs` in the `GGally` package seems pretty useful, but it appears to fail when there `NA` is present anywhere in the data set: ``` #require(GGally) data(tips, package="reshape") pm <- ggpairs(tips[,1:3]) #works just fine #introduce NA tips[1,1] <- NA ggpairs(tips[,1:3]) > Error in if (lims[1] > lims[2]) { : missing value where TRUE/FALSE needed ``` I don't see any documentation for dealing with `NA` values, and solutions like `ggpairs(tips[,1:3], na.rm=TRUE)` (unsurprisingly) don't change the error message. I have a data set in which perhaps 10% of values are `NA`, randomly scattered throughout the dataset. Therefore `na.omit(myDataSet)` will remove much of the data. Is there any way around this?