I have a data table in R:
name date
---- ----
John 1156649280
Adam 1255701960
...etc...
I want to get all of the rows that have
Lots of options here, but one of the easiest to follow is subset
. Consider:
> set.seed(43)
> df <- data.frame(name = sample(letters, 100, TRUE), date = sample(1:500, 100, TRUE))
>
> subset(df, date > 5 & date < 15)
name date
11 k 10
67 y 12
86 e 8
You can also insert logic directly into the index for your data.frame. The comma separates the rows from columns. We just have to remember that R indexes rows first, then columns. So here we are saying rows with date > 5 & < 15 and then all columns:
df[df$date > 5 & df$date < 15 ,]
I'd also recommend checking out the help pages for subset, ?subset
and the logical operators ?"&"