getIndices | R Documentation |
getIndices
Generates a variety of indices describing multifunctionality based on
the number of functions greater than a threshold for many different threshold and coefficients describing
the relationship between diversity and number of functoins greater than a threshold.
getIndices( slopedata, threshdata, eqn, fun = stats::glm, divvar = "Diversity", groupVar = "thresholds", showNfunc = T )
slopedata |
A data frame with slopes of the relationship between diversity and number of functions greather than or equal to a threshold
from |
threshdata |
A data frame with the number of functions greater than a threshold for each plot at each threshold from |
eqn |
The formula used for fitting the models in slopedata. |
fun |
The function used to refit the threshold data at key points to get intercepts, etc., that are needed for the table. |
divvar |
The name of the variable that has the measure of diversity or other driver in the threshdata data frame. |
groupVar |
The name of a variable by which data is grouped in the threshdata data frame. Typically "thresholds" from |
showNfunc |
Show the functions at Tmin, Tmax, and Tmde. Defaults to TRUE. |
See Byrnes et al. In Review.
A data frame of indices
Jarrett Byrnes.
## Not run: data(all_biodepth) allVars <- qw(biomassY3, root3, N.g.m2, light3, N.Soil, wood3, cotton3) germany <- subset(all_biodepth, all_biodepth$location == "Germany") vars <- whichVars(germany, allVars) germanyThresh <- getFuncsMaxed(germany, vars, threshmin = 0.05, threshmax = 0.99, prepend = c("plot", "Diversity"), maxN = 7 ) germanyLinearSlopes <- getCoefTab(funcMaxed ~ Diversity, data = germanyThresh, coefVar = "Diversity", family = quasipoisson(link = "identity") ) getIndices(germanyLinearSlopes, germanyThresh, funcMaxed ~ Diversity) ## End(Not run)
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