Articles by A.M. Barbosa

Functions for time tracking and management

June 26, 2020 | 0 Comments

Especially since I had to start working as a freelancer, it became essential to keep an accurate record of how much time I spend on each task and project. I checked out some software tools available online (namely TimeCamp, which … Continue reading →
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Plot outliers and their values

March 13, 2020 | 0 Comments

The ‘plot_outliers‘ function below draws a boxplot and a scatterplot of a numeric variable x and plots the values of the outliers (currently not offset, even if they overlap). For relatively small datasets, it can be a quick way to … Continue reading →
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fuzzySim updated to 3.0 on CRAN!

February 11, 2020 | 0 Comments

The newest version of R package fuzzySim (3.0) is now on CRAN! It includes new functions such as ‘favClass‘, ‘bioThreat‘ and ‘gridRecords‘; improvements to some functions, help files and examples; updated e-mail and citation information [ see citation(“fuzzySim”) ]; clarifications … Continue reading →
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This blog is now on R-bloggers!

February 9, 2020 | 0 Comments

I should have done this long ago, but it’s never too late: modTools has finally been added to R-bloggers — a content aggregator contributed by bloggers who write about R, empowering bloggers to empower other R users. I hope the … Continue reading → [Read more...]

Grid point occurrence records onto a raster

February 3, 2020 | 0 Comments

The ‘gridRecords‘ function, which has just been added to the ‘fuzzySim‘ package (from version 2.6 on), takes a raster stack and a set of spatial coordinates of a species’ presence (and optionally absence) records, and returns a data frame with … Continue reading →
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modEvA 2.0 now on CRAN!

January 21, 2020 | 0 Comments

The new version of modEvA (2.0) is now on CRAN! It can produce some new plots, such as the precision-recall curve and the histograms/densities of predicted values for presence and absence observations. It calculates some additional evaluation measures, such as … Continue reading → [Read more...]

Area under the precision-recall curve

January 17, 2020 | 0 Comments

The AUC function, in the modEvA package, initially computed only the area under the receiver operating characteristic (ROC) curve. Now, since modEvA version 1.7 (currently available on R-Forge), it also offers the option to compute the precision-recall curve, which may … Continue reading →
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Variable selection with multGLM

January 9, 2020 | 0 Comments

The ‘multGLM‘ function in the ‘fuzzySim‘ R package automatically calculates generalized linear models for one or more species, with a range of options for variable selection. However, you may want to build your final models with other methods (e.g. multimodel-inference … Continue reading → [Read more...]

Plot shared favourability for two competing species

March 8, 2019 | 0 Comments

The sharedFav function below implements the graphical analyses of Acevedo et al. (2010, 2012) on biogeographical interactions. It takes two vectors of favourability values at different localities for, respectively, a stronger and a weaker competing species (or two equally strong … Continue reading →
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Calculate biotic threat of a stronger over a weaker species

March 4, 2019 | 0 Comments

The bioThreat function below takes two vectors of favourability values at different localities for, respectively, a stronger and a weaker species (e.g., a superior vs. an inferior competitor, or an invasive predator vs. an unadapted native prey), and calculates the … Continue reading → [Read more...]

Package fuzzySim now on CRAN!

December 19, 2018 | 0 Comments

The fuzzySim package, which is regularly maintained on R-Forge, is finally also available on the CRAN official repository, in its latest version 2.0! Many thanks especially to Alba Estrada for invaluable help with bug search. [Read more...]

Improvements to fuzzySim functions

November 21, 2018 | 0 Comments

A few improvements were recently made to several functions in the fuzzySim package. Mainly, function modelTrim is now more independent (it used to require “attach” sometimes); multTSA allows either “AIC” or “significance” as a backward stepwise selection criterion, and provides … Continue reading → [Read more...]

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