README.md
In Martindelosrios/pratto: ROGER

ROGER is an R package for the automatic classification of galaxies using their phase-space information.

For more details about the training and calibration of ROGER please read https://arxiv.org/abs/2010.11959v1

Prerequisites

This software make an extensive usage of the following packages that must be installed: caret, randomForest, kernlab

You can install this packages inside an R-session with:

install.packages(c('caret', 'randomForest', 'kernlab'))

Installation

You can install the ROGER package directly from your R session using the install_github function from the devtools package.

library('devtools')
install_github('MartindelosRios/ROGER')

Example

# Loading the ROGER library.
library('ROGER')

# Loading the data
data('testset')

# Let's see the structure of this dataset
str(testset)

# Let's keep only with the 'r' and 'v' columns that will be used to predict, and
# save the real classification for future comparison.

cat        <- testset[, c(1,2)]
real_class <- testset$flag1

# Let's predict the proabability of being of each class using our ML
pred_prob <- get_class(cat, knn)

In the Examples section you can find more examples!