search for: resuld

...219*2 sectors. ->5a) save in the second column of the data.frame_2 the "dim2_sector_curve2$richness" values repeat this routine 10000 times. ***from dimension 3 to 15, repeat the same procedures with increasing number of sectors selected (for dimension equal to 16 sectors the obtained resuld should coincide with the rarefaction curve performed on plots presence-absence data) Now, my main questions are: considering the huge amount of randomizations and calculations, is a normal pc able to run this/these routine/s? Second, the number of iteraction for each dimension should increase as a...

Hello, Suppose I have x, which is a variable of class numeric. The calculations performed to yield x imply that mathematically it should be an integer , but due to round-off errors, it might not be (and so in either direction). The error is however small, so round(x) will yield the appropriate integer value. Moreover, this integer values is guaranteed to be representable by an