Authors: Bernhard Pollner & Zoltan Kovacs
aquap2 can be useful in three distinct areas in NIRS: Experiment Design: Outline the class-structure and generate a truly randomized sample list. Data Acquisition: While recording spectra, the previously generated sample list can be used, thus eliminating errors in assigning classes. * Data Analysis: aquap2 provides an array of standard chemometric procedures as well as some specialized methods used in Aquaphotomics.
If you work on a Windows-machine, you might first have to download and install R-tools. (Re-start the R-session.)
If not already done, install the package "devtools" via
install.packages("devtools")
Install release version of aquap2
from CRAN via
install.packages("aquap2")
or download from github:
library(devtools)
install_github(repo="bpollner/aquap2", ref="latestPublic")
You can now launch aquap2 and perform (only required at first use) the required setup
library(aquap2)
ap2_settings_setup()
This adds an entry to the .Renviron
file and generates the corresponding folder containing the aquap2_settings.R
file.
(You might have to restart R.)
The repository aquap2_courseMaterial contains a demo dataset with some exploratory and quantitative data analysis steps designed to give a first impression of some of the functions of aquap2. This is the same demo-dataset as handed out at The 3rd Aquaphotomics Symposium in Japan in December 2018.
The course material for the Summer School on Aquaphotomics in the course of the The 3rd European Aquaphotomics Symposium (September 2023, Rome) can be found here.
Please note that the package in its current state is in several parts still considered to be beta: * From the cross-validated classifier methods, only "fda" and "lda" have undergone a certain amount of testing, the other methods (nnet etc.) have been built in, but still require testing and the implementation of optimization options
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