R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Classification

Results 1 - 10 of 46 found.
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BIOMOD.stored.objects-class (Package: biomod2) : BIOMOD.stored.xxx objects class

All BIOMOD.stored.xxx objects are there to make some RAM savings by loading some objects only when they are needed. We just keep a link to the place were those objects are stored when we don't need them anymore. They are kind of pointers to objects created within biomod2 and having a copy on hard drive. It can be consider just as a code trick.

● Data Source: CranContrib
● Keywords: ensemble, models, object, storing
● Alias: BIOMOD.stored.array, BIOMOD.stored.array-class, BIOMOD.stored.data, BIOMOD.stored.data-class, BIOMOD.stored.data.frame, BIOMOD.stored.data.frame-class, BIOMOD.stored.files, BIOMOD.stored.files-class, BIOMOD.stored.formated.data, BIOMOD.stored.formated.data-class, BIOMOD.stored.models.options, BIOMOD.stored.models.options-class, BIOMOD.stored.models.out, BIOMOD.stored.models.out-class, BIOMOD.stored.raster.stack, BIOMOD.stored.raster.stack-class
● 0 images

BIOMOD.models.out-class (Package: biomod2) : BIOMOD_modelling() outputs objects class

The BIOMOD.models.out objects are created, used and returned by BIOMOD functions.

● Data Source: CranContrib
● Keywords: models, option
● Alias: BIOMOD.models.out-class
● 0 images

calculate.stat (Package: biomod2) : Calculate evaluation metrics based on a misclassification table

calculate.stat is an internal biomod2 function to get scores, based on a misclassification table, of some referenced evaluation metrics.

● Data Source: CranContrib
● Keywords: models, formula, options
● Alias: calculate.stat
● 0 images

sample.factor.levels (Package: biomod2) : Tool to ensure the sampling of all levels of a factorial variable

This function will sample randomly an element of each level of all the factorial variables contains in a Raster* object or a data.frame

● Data Source: CranContrib
● Keywords:
● Alias: sample.factor.levels
● 0 images

randomise_data (Package: biomod2) :

This function is wrapper to shuffle elegantly data-set. This function shuffle selected columns of a given data.set according to a defined shuffling algorithm.

● Data Source: CranContrib
● Keywords: importance, random, suffle
● Alias: randomise_data
● 0 images

FilteringTransformation (Package: biomod2) : Convert species' probability of occurrence into binary presence-absence data using a predefined threshold

Function that converts an object containing probability values into a filtered object according to a pre-defined threshold(s).

● Data Source: CranContrib
● Keywords: models
● Alias: FilteringTransformation, FilteringTransformation,RasterBrick-method, FilteringTransformation,RasterLayer-method, FilteringTransformation,RasterStack-method, FilteringTransformation,array-method, FilteringTransformation,data.frame-method, FilteringTransformation,matrix-method, FilteringTransformation,numeric-method, FilteringTransformation-methods
● 0 images

getStatOptimValue (Package: biomod2) : get the optimal score of evaluation statistical metrics

getStatOptimValue is an internal biomod2 function to get the best value that some referenced evaluation statistical metrics.

● Data Source: CranContrib
● Keywords: models, formula, options
● Alias: getStatOptimValue
● 0 images

biomod2-package (Package: biomod2) : Species Distribution Modeling within an Ensemble Forecasting framework

biomod2 is the updated object-oriented version of BIOMOD package.

● Data Source: CranContrib
● Keywords: package
● Alias: biomod2, biomod2-package
● 0 images

BIOMOD.projection.out-class (Package: biomod2) : BIOMOD_Projection() outputs objects class

BIOMOD.projection.out object is created, used and returned by biomod2 functions. It contains information relative to projections of BIOMOD_Modeling outputs over a defined area. This object may be reused latter by BIOMOD_EnsembleForecasting function.

● Data Source: CranContrib
● Keywords: models, projection, ensemble, forecast
● Alias: BIOMOD.projection.out, BIOMOD.projection.out-class
● 0 images

BIOMOD_presenceonly (Package: biomod2) : evaluate models with presences only metrics

This function enables to evaluate BIOMOD.models.out and BIOMOD.EnsembleModeling.out object with presence-only evaluation methods (Boyce index and Minimal Predicted Area MPA)

● Data Source: CranContrib
● Keywords:
● Alias: BIOMOD_presenceonly
● 0 images