Program in R Studio, it is easier.
R Programming Language Resources
Getting Started?
R Libraries
install.packages(“readxl”) -> Import .xlsx files in R
install.packages(“writexl”) -> Export .xlsx files in R
install.packages(“ggplot2”) -> Create graphics in R
install.packages(“prospectr”) -> Spectral preprocessing in R
install.packages(“hyperSpec”) -> Import .spc files in R
install.packages(“tidyverse”) -> Data science in R
install.packages(“plotly”) -> Create graphics in R
install.packages(“plsdepot”) -> Develop PCA model in R
install.packages(“PRROC”) -> Evaluate classifier models in R
R Scripts
Plotting multiple spectra in R
Correcting baseline for multiple spectra in R
Normalizing multiple spectra with SNV in R
Normalizing multiple spectra with MSC in R
Normalizing multiple spectra with MAX-MIN normalization in R
Developing PCA model using NIPALS algorithm
Determining Homoscedasticity in R
R is a programming language and software environment for statistical computing and graphics. It is widely used among statisticians and data miners for developing statistical software and data analysis. R provides a wide variety of statistical and graphical techniques, and is highly extensible. Researchers can use R to develop statistical models, visualize data, and perform other data analysis tasks. In addition, R is open source, which means that anyone can use and modify the software freely. This makes it a popular choice among researchers who are looking for a powerful yet affordable tool for data analysis.
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