docs.ecosimr.org
size_source_pool. EcoSimR 0.1.0
http://www.docs.ecosimr.org/size_source_pool.html
EcoSimR 0.1.0. SizeSourcePoolDraw Size Overlap Randomization Algorithm. Size source pool(speciesData = 21:30, sourcePool = runif(n = 2 * length(speciesData), min = 10, max = 50), speciesProbs = rep(1, length(sourcePool) ). A vector of observed body sizes. A vector of body sizes of species in the user-defined pool of potential colonists. A vector of relative colonization weights of length 'sourcePool'. Returns a vector of body sizes of an assemblage randomly drawn from a user-defined source pool.
docs.ecosimr.org
var_diff. EcoSimR 0.1.0
http://www.docs.ecosimr.org/var_diff.html
EcoSimR 0.1.0. VarDiff Size Overlap Ratio Metric. Var diff(m = runif(20). A vector of non-negative trait measures, one for each species. Returns the variance of the absolute difference between adjacent, ordered values. Poole, R.W. and B.J. Rathcke. 1979. Regularity, randomness, and aggregation in flowering phenologies. Science 203:470-471. Simberloff, D. and W.J. Boecklen. 1981. Santa Rosalia reconsidered: size ratios and competition. Evolution 35: 1206-1228.
emhart.info
Ted Hart - blog about data science, ecology, informatics, programming, data
http://www.emhart.info/blog/2015/04/02/love-testing
I’m a senior data scientist in silicon valley and adjunct faculty at the University of Vermont. I build things for data: things that process it, parse it, visualize it, and analyze it. I like my beer cold, my snow deep, my mountains high, and my data open. I am a recovering academic. Where you can find me. Ecologist / data scientist / developer. How I learned stop worrying and love testing. You test already you just dont know it. Get flat abs from just 15 minutes of testing a day. In testing size matters.
emhart.info
Ted Hart - blog about data science, ecology, informatics, programming, data
http://www.emhart.info/blog/2015/04/07/docker-r
I’m a senior data scientist in silicon valley and adjunct faculty at the University of Vermont. I build things for data: things that process it, parse it, visualize it, and analyze it. I like my beer cold, my snow deep, my mountains high, and my data open. I am a recovering academic. Where you can find me. Ecologist / data scientist / developer. Docker and R: making CRAN submission a little easier. Updated: See bottom of post. R CMD CHECK - as-cran EcoSimR 0.1.0.tar.gz. Why you might ask? Had the elegant...
docs.ecosimr.org
pianka_skew. EcoSimR 0.1.0
http://www.docs.ecosimr.org/pianka_skew.html
EcoSimR 0.1.0. PiankaSkew Niche Overlap Metric. Pianka skew(m = matrix(rpois(80, 1), nrow = 10). A matrix of resource utilization values. Returns the skewness of the average pairwise niche overlap. Takes a niche utilization matrix returns the skewness of the Pianka pairwise niche overlap index. Winemiller, K.O. and E.R. Pianka. 1990. Organization in natural assemblages of desert lizards and tropical fishes. Ecological Monographs 60: 27-55. ObsSkew - pianka skew(m=matrix(rpois(40,0.5),nrow=8).
docs.ecosimr.org
ra3. EcoSimR 0.1.0
http://www.docs.ecosimr.org/ra3.html
EcoSimR 0.1.0. RA3 Niche Overlap Randomization Algorithm. Ra3(speciesData = matrix(rpois(80, 1), nrow = 10). A resource utilization matrix (rows = species, columns = discrete resource states) filled with non-negative real numbers. Returns a random utilization matrix with the same dimensions as the input matrix. Randomizes a numeric utilization matrix speciesData by reshuffling the elements within each row. RanUtil - ra3(speciesData=matrix(rpois(40,0.5),nrow=8).
docs.ecosimr.org
czekanowski_var. EcoSimR 0.1.0
http://www.docs.ecosimr.org/czekanowski_var.html
EcoSimR 0.1.0. CzekanowskiVariance Niche Overlap Metric. Czekanowski var(m = matrix(rpois(80, 1), nrow = 10). A matrix of resource utilization values. Returns the variance of the average pairwise niche overlap. Takes a niche utilization matrix returns the variance of the Czekanowski niche overlap index. Winemiller, K.O. and E.R. Pianka. 1990. Organization in natural assemblages of desert lizards and tropical fishes. Ecological Monographs 60: 27-55.
docs.ecosimr.org
czekanowski. EcoSimR 0.1.0
http://www.docs.ecosimr.org/czekanowski.html
EcoSimR 0.1.0. Czekanowski Niche Overlap Metric. Czekanowski(m = matrix(rpois(80, 1), nrow = 10). A matrix of resource utilization values. Returns the average pairwise niche overlap. Takes a resource utilization matrix as input and returns the average pairwise Czekanowki niche overlap index. O jk = O kj = 1 - 0.5*sum p ij - p ik. Feinsinger, P., E.E. Spears, and R. Poole. 1981. A simple measure of niche breadth. Ecology 62: 27-32. ObsOverlap - czekanowski(m=matrix(rpois(40,0.5),nrow=8).
docs.ecosimr.org
size_gamma. EcoSimR 0.1.0
http://www.docs.ecosimr.org/size_gamma.html
EcoSimR 0.1.0. SizeGamma Size Overlap Randomization Algorithm. Size gamma(speciesData = rnorm(50, mean = 100, sd = 1). A vector of body sizes or other trait measurements of species. All values must be positive real numbers. Returns a vector of simulated body sizes as the same length as speciesData. Function to generate a random distribution of body sizes by drawing from a gamma distribution. Shape and rate parameters of the gamma are estimated from the empirical data. In the MASS library.
docs.ecosimr.org
ra2. EcoSimR 0.1.0
http://www.docs.ecosimr.org/ra2.html
EcoSimR 0.1.0. RA2 Niche Overlap Randomization Algorithm. Ra2(speciesData = matrix(rpois(80, 1), nrow = 10). A resource utilization matrix (rows = species, columns = discrete resource states) filled with non-negative real numbers. Returns a random utilization matrix with the same dimensions as the input matrix. Randomizes a numeric utilization matrix speciesData by replacing all non-zero elements with a random uniform [0,1] value. Winemiller, K.O. and E.R. Pianka. 1990. Organizati...
