And you may want to consider using the 'cut' function. In your case,
something like
veg_mean <- cut(veg_mean, breaks=c(0,.1,1,2,5,10,25,50,75,95,100),
right=FALSE)
should do the trick (see ?cut for more options).
Best,
Stefan
On 28 Jul 2008, at 19:52, Henrik Bengtsson wrote:
Use '&' for vectors and '&&' for scalars. Ditto applies to the OR
operator(s). /Henrik
On Mon, Jul 28, 2008 at 10:36 AM, Wade Wall <[EMAIL PROTECTED]>
wrote:
Hi all,
I am trying to convert geometric means in a matrix to cover
classes. My
values are as such:
perc<-c(0,0.025136418, 0.316227766, 1.414213562,3.16227766,
7.071067812,
15.8113883, 35.35533906, 61.23724357, 84.40971508, 97.46794345)
cover<-c(0,1,2,3,4,5,6,7,8,9,10)
This is what I am trying to accomplish
veg_mean[veg_mean>0 && veg_mean < .1] <- 1
veg_mean[veg_mean>= .1 && veg_mean < 1.0] <- 2
veg_mean[veg_mean>=1.0 && veg_mean < 2.0] <- 3
veg_mean[veg_mean>=2.0 && veg_mean < 5.0] <- 4
veg_mean[veg_mean>= 5.0 && veg_mean < 10.0] <- 5
veg_mean[veg_mean>= 10.0 && veg_mean < 25] <- 6
veg_mean[veg_mean>= 25.0 && veg_mean < 50.0] <- 7
veg_mean[veg_mean>=50.0 && veg_mean < 75.0] <- 8
veg_mean[veg_mean>= 75.0 && veg_mean < 95.0 ] <- 9
veg_mean[veg_mean>= 95.0 && veg_mean <= 100] <- 10
veg_mean[veg_mean> 100] <- NA
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