wheat

<p>The data contains kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian, 70 elements each, randomly selected.
High quality visualization of the internal kernel structure was detected using a soft X-ray technique. The images were recorded on 13x18 cm X-ray KODAK plates.
Source : Institute of Agrophysics of the Polish Academy of Sciences in Lublin.</p>

Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Donn<c3><a9>es en Master 2 Informatique D<c3><a9>cisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

wheat function

<p>The dataset has 210 instances described by 8 variables:
area, perimeter, compactness, length, width, asymmetry coefficient, groove length and variery.</p>

wheat: Wheat dataset

Description

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