In R, is there a way to handle NA in an integer column of a data.frame so that NA values are not included when subseting?
(t=structure(list(count = c(NA, 2, NA, NA, NA, 8, NA, NA, NA)), .Names = "count", row.names = c(NA,-9L), class = "data.frame"))
  count
1    NA
2     2
3    NA
4    NA
5    NA
6     8
7    NA
8    NA
9    NA

> t[t$count>=1,]
[1] NA  2 NA NA NA  8 NA NA NA

> t[t$count>=1&!is.na(t$count),]
[1] 2 8

transform(t, replace all NAs from count columns with 0)

transform(t, replace all NA from all numeric columns with 0 in t)

> t[ which(t$count >= 1), ]
[1] 2 8
# Or if you still want a dataframe result
> t[ which(t$count >= 1), , drop=FALSE]
  count
2     2
6     8

> t[ -which(t$count < 1), , drop=FALSE]
[1] count
<0 rows> (or 0-length row.names)
> t[ which(t$count < 1), , drop=FALSE]
[1] count
<0 rows> (or 0-length row.names)

t$count[is.na(t$count)] <- something.else

dt = as.data.table(t)
t[count>=1]   # NA's are treated as FALSE