دانلود کتاب برنامه‌نویسی R برای طیف‌سنجی جرمی – تجزیه و تحلیل مؤثر و تکرارپذیر داده‌ها

This book will teach you how to analyze data generated by mass spectrometers using R [3]. The modern mass spectrometer is a marvel of science and engineering. What was once an imposing instrumental method of analysis with limited application has now become a workhorse in research and industry. At the same time, the boundaries of measurement capability are rapidly expanding with each new generation of analyzer, detector, and ionization method. At the outer limits are instruments that still act like temperamental thoroughbreds, which, on any given day, deliver extraordinary results or confusing noise. Workhorse instruments, on the other hand, often operate in a factorylike mode, producing data that is changing how we discover and develop drugs, diagnose and treat diseases, and understand our drinking water, food, the oceans, and the atmosphere. Mass spectrometers are used for measurements in such large numbers that ensuring problems with data analysis do not corrupt results is critical. Well below the limits of performance, mass spectrometers can generate such huge volumes of complex data that the analysis is beyond simple statistics and enters the domain of data science. For nearly all of the uses of mass spectrometry, there is a need for more advanced and more reproducible data analysis than can be done in spreadsheets.