Felix S - 1 month ago 8

R Question

I want to make a grouped filter using

`dplyr`

`x`

My problem is: As expected, in the case of multiple minima

Here's an example:

`df <- data.frame(`

A=c("A", "A", "A", "B", "B", "B", "C", "C", "C"),

x=c(1, 1, 2, 2, 3, 4, 5, 5, 5),

y=rnorm(9)

)

library(dplyr)

df.g <- group_by(df, A)

filter(df.g, x == min(x))

As expected, all minima are returned:

`Source: local data frame [6 x 3]`

Groups: A

A x y

1 A 1 -1.04584335

2 A 1 0.97949399

3 B 2 0.79600971

4 C 5 -0.08655151

5 C 5 0.16649962

6 C 5 -0.05948012

With ddply, I would have approach the task that way:

`library(plyr)`

ddply(df, .(A), function(z) {

z[z$x == min(z$x), ][1, ]

})

... which works:

`A x y`

1 A 1 -1.04584335

2 B 2 0.79600971

3 C 5 -0.08655151

Answer

Just for completeness: Here's the final `dplyr`

solution, derived from the comments of @hadley and @Arun:

```
library(dplyr)
df.g <- group_by(df, A)
filter(df.g, rank(x, ties.method="first")==1)
```