{"name":"residuals.meteDist","title":"Compute residuals between METE predictions and data of a meteDist object","aliases":"residuals.meteDist","keywords":[],"usage":"

\"residuals\"(object, type = c(\"rank\", \"cumulative\"), relative = TRUE, log = FALSE, ...)

","arguments":[{"name":"object","description":"a meteDist object"},{"name":"type","description":"'rank' or 'cumulative'"},{"name":"relative","description":"logical; if true use relative MSE"},{"name":"log","description":"logical; if TRUE calculate MSE on logged distirbution. If FALSE use arithmetic scale."},{"name":"...","description":"arguments to be passed to methods"}],"has_args":true,"author":"\nAndy Rominger , Cory Merow\n","seealso":"\nmse.meteDist\n","examples":"data(arth)\nesf1 <- meteESF(spp=arth$spp,\n abund=arth$count,\n power=arth$mass^(.75),\n minE=min(arth$mass^(.75)))\nsad1 <- sad(esf1)\nresiduals(sad1)\n","description":"\nresiduals.meteDist computes residuals between METE predictions and\ndata of a meteDist object\n","details":"\nSee Examples. Typically not called directly by the user and rather used for\ncalculating the mean square error with mse.meteDist. If type='rank'\nreturned value will be of length equal to number of observations (e.g. number of\nspecies in case of SAD) but if type='cumulative' returned value will be of\nlength equal to number of unique ovservations (e.g. number of unique abundances in\ncase of SAR).\n","value":"

\na numeic vector giving residuals for each data point\n","references":"\nHarte, J. 2011. Maximum entropy and ecology: a theory of abundance, distribution, and energetics. Oxford University Press.\n","note":[],"sections":[],"package":{"package":"meteR","version":"1.2"}}

Description

Usage

Arguments

Value

Details

References

See Also

Examples