This package contains a function for loading a portion of a netCDF data file into a data.frame, and it contains a number of functions that implement algorithms described in ProcessingAlgorithms.pdf. Two manuals are included, 'RanaduManual.pdf' (which describes the functions and includes a very short introduction to R) and 'RanaduShinyManual.pdf' which describes the accompanying shiny application that provides a variety of interactive plot capabilities for data analysis using NCAR/RAF data files. The package depends on the ncdf4 and nleqslv packages. Functions included are: GetNetCDF (to load the data.frame), GetIndex to find the index corresponding to a particular time, GetStartEnd to find the time limits of the data, SpecificHeats for the (possibly moisture corrected) specific heats and gas constant for air, MachNumber, RecoveryFactor, TrueAirspeed, AirTemperature, MurphyKoop (for the water vapor pressure), DPfromE (to find the dew point corresponding to a specified water vapor pressure), PressureAltitude, PotentialTemperature, EquivalentPotentialTemperature, Sqs (the quasisteady supersaturation in cloud given the updraft and droplet size distribution), WetEquivalentPotentialTemperature, MixingRatio, VirtualTemperature, VirtualPotentialTemperature, and plotWAC and lineWAC (convenience routines producing some aspects of plots I use routinely). A skewT background is provided by SkewT.R. A routine for generating plots of spectral variance is included. There is also a function providing standard constants including those defined in ProcessingAlgorithms.pdf. There is a utility for making subsets of a netCDF file, and there are other functions also. One new function supports starting other programs that read netCDFformat files and providing such files generated from R data.frames.
Package details 


Author  William Cooper 
Maintainer  William Cooper <[email protected]> 
License  GPL 
Version  2.5181102 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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