DivSubsamples | R Documentation |
Function to generate the rarefaction data from a given sample
DivSubsamples(mainsamp, nrf, minrarefac=1,
maxrarefac=length(FormatInput(mainsamp)), NResamples=1000)
mainsamp |
the main sample, either as a 2-column data.frame (species ID, count of species), or a vector of species IDs. |
nrf |
difference between lengths of successive rarefaction datapoints. |
minrarefac |
minimum rarefaction data x-axis value. Default is 1. |
maxrarefac |
maximum rarefaction data x-axis value. Default is length of the sample |
NResamples |
number of resamples used to calculate the rarefaction data. |
This function produces a vector of subsamples diversity values with subsample lengths evenly distributed between a specified minimum and maximum number. The curvature of the rarefaction curve can be obtained with the function Curvature
.
a list of class DivSubsamples containing resampling results (i.e. the diversity data). This includes the following:
RarefacXAxis |
vector of x-axis rarefaction data |
RarefacYAxis |
vector of y-axis rarefaction data |
div_sd |
vector of y-axis rarefaction data standard deviations |
NResamples |
number of sampling iterations used to calculate sample means of each subsample diversity |
Daniel J. Laydon, Aaron Sim, Charles R.M. Bangham, Becca Asquith
Laydon, D. J., Melamed, A., Sim, A., Gillet, N. A., Sim, K., Darko, S., Kroll, S., Douek, D. C., Price, D., Bangham, C. R. M., Asquith, B., Quantification of HTLV-1 clonality and TCR diversity, PLOS Comput. Biol. 2014
require(DivE)
data(Bact1)
dss_1 <- DivSubsamples(Bact1, nrf=2, minrarefac=1, maxrarefac=100,
NResamples=10)
dss_2 <- DivSubsamples(Bact1, nrf=20, minrarefac=1, maxrarefac=100,
NResamples=10)
# Default NResamples=1000; low value of NResamples=10 is a set for quick evaluation
dss_1
dss_2
summary(dss_1)
dss_1$div_sd
dss_1$NResamples
Curvature(dss_1)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.