Exclude Blank and NA in R [duplicate]

Answer 1

A good idea is to set all of the "" (blank cells) to NA before any further analysis.

If you are reading your input from a file, it is a good choice to cast all "" to NAs:

foo <- read.table(file="Your_file.txt", na.strings=c("", "NA"), sep="\t") # if your file is tab delimited

If you have already your table loaded, you can act as follows:

foo[foo==""] <- NA

Then to keep only rows with no NA you may just use na.omit():

foo <- na.omit(foo)

Or to keep columns with no NA:

foo <- foo[, colSums(is.na(foo)) == 0] 

Answer 2

Don't know exactly what kind of dataset you have, so I provide general answer.

x <- c(1,2,NA,3,4,5)
y <- c(1,2,3,NA,6,8)
my.data <- data.frame(x, y)
> my.data
   x  y
1  1  1
2  2  2
3 NA  3
4  3 NA
5  4  6
6  5  8
# Exclude rows with NA values
my.data[complete.cases(my.data),]
  x y
1 1 1
2 2 2
5 4 6
6 5 8