HI Jean,
Here is part of my data. As you can see, I have cross-section point and
corresponding elevation of a river. Now I want to select cross-section
points by 50m interval. But the real cross-section data might not have
exact points say 0, 50, 100,…and so on. Therefore, I need to take points
> On Nov 9, 2015, at 9:19 AM, Adams, Jean wrote:
>
> Harun,
>
> Can you give a simple example?
>
> If your cross_section looked like this
> c(144, 179, 214, 39, 284, 109, 74, 4, 249)
> and your other vector looked like this
> c(0, 50, 100, 150, 200, 250, 300, 350)
> what would you want your su
Do you want the "closest" or what range it is in? If you want the range,
then use 'cut':
> x <- c(144, 179, 214, 39, 284, 109, 74, 4, 249)
> range <- c(0, 50, 100, 150, 200, 250, 300, 350)
> result <- cut(x, breaks = range)
> cbind(x, as.character(result))
x
[1,] "144" "(100,150]"
[2,] "1
Harun,
Can you give a simple example?
If your cross_section looked like this
c(144, 179, 214, 39, 284, 109, 74, 4, 249)
and your other vector looked like this
c(0, 50, 100, 150, 200, 250, 300, 350)
what would you want your subset to look like?
Jean
On Mon, Nov 9, 2015 at 7:26 AM, Harun Rashid v
Hello,
I have a dataset with two columns 1. cross_section (range: 0~635), and
2. elevation. The dataset has more than 100 rows. Now I want to make a
subset on the condition that the 'cross_section' column will pick up the
nearest cell from another vector (say 0, 50,100,150,200,.,650).
How ca
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