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imanr is model that provides researchers with a powerful tool for the classification and study of native corn by aiding in the identification of racial complexes which are fundamental to Mexico’s agriculture and culture.
# As of today, you can install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("rafa6174/imanr")The package is composed of two functions:
find_racial_complex() and impute_data().
impute_data() is used to preprocess the data by imputing
the missing information by comparing the absent fields with the full
information from the “Proyecto Nacional de Maíz Nativo” database and
then filling the gaps with adequate data that is computed through a
random forests approach. find_racial_complex() is loaded
with the machine learning model that computes the classification for the
corn sample that is being fed to the function. The function takes only
one argument which is a dataframe including qualitative and quantitative
characteristics of the native corn.
# test for racial complexes
find_racial_complex(data31)
#> [1] Tropicales tardíos Dentados tropicales Dentados tropicales Dentados tropicales
#> [5] Dentados tropicales Dentados tropicales Dentados tropicales Dentados tropicales
#> [9] Dentados tropicales Dentados tropicales Dentados tropicales Dentados tropicales
#> [13] Dentados tropicales Dentados tropicales Dentados tropicales Dentados tropicales
#> [17] Dentados tropicales Dentados tropicales Tropicales tardíos Dentados tropicales
#> [21] Dentados tropicales Dentados tropicales Dentados tropicales Dentados tropicales
#> [25] Dentados tropicales Dentados tropicales Dentados tropicales Dentados tropicales
#> [29] Dentados tropicales Dentados tropicales Dentados tropicales
#> 7 Levels: Chapalote Cónico Dentados tropicales Ocho hileras ... Tropicales tardíos
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.