argoFloats1.0.9 package

Analysis of Oceanographic Argo Floats

applyQC

Apply Quality Control Flags

argoDefaultDestdir

Get Default Values

argoFloats-class

Base Class for argoFloats Objects

argoFloats-methods

Show Information About argoFloats Object

argoFloats

A Package for Processing Argo Float Profiles

argoFloatsClearCache

Clear the Cache

argoFloatsDebug

Print Debugging Information

argoFloatsGetFromCache

Get an Item From The Cache

argoFloatsIsCached

Check Whether an Item is Cached

argoFloatsListCache

List Items in the Cache

argoFloatsStoreInCache

Store an Item in the Cache

argoFloatsWhenCached

Check When an Item was Cached

D4900785_048.nc

Sample Argo File (Delayed Core Data)

downloadWithRetries

Download and Cache a Dataset

getIndex

Get an Index of Available Argo Float Profiles

getProfileFromUrl

Get Data for an Argo Float Profile

getProfiles

Get "cycles"/"trajectory" Files Named in an argoFloats Index

hexToBits

Convert Hexadecimal Digit to Integer Vector

mapApp

Interactive App For Viewing Argo Float Positions

merge-argoFloats-method

Merge argoFloats Indices

plot-argoFloats-method

Plot an argoFloats Object

plotArgoTS

Plot a TS diagram for an argoFloats object

R3901602_163.nc

Sample Argo File (Real-Time Core Data)

readProfiles

Read Argo Profiles From Local Files

SD5903586_001.nc

Sample Argo File (Delayed Synthetic Data)

showQCTests

Show Real-Time QC Test Results For an Argo Object

SR2902204_131.nc

Sample Argo File (Real-Time Synthetic Data)

sub-sub-argoFloats-method

Look up a Value Within an argoFloats Object

subset-argoFloats-method

Subset an argoFloats Object

summary-argoFloats-method

Summarize an argoFloats Object

useAdjusted

Switch [[ and Plot to Focus on Adjusted Data, if Available

Supports the analysis of oceanographic data recorded by Argo autonomous drifting profiling floats. Functions are provided to (a) download and cache data files, (b) subset data in various ways, (c) handle quality-control flags and (d) plot the results according to oceanographic conventions. A shiny app is provided for easy exploration of datasets. The package is designed to work well with the 'oce' package, providing a wide range of processing capabilities that are particular to oceanographic analysis. See Kelley, Harbin, and Richards (2021) <doi:10.3389/fmars.2021.635922> for more on the scientific context and applications.

  • Maintainer: Dan Kelley
  • License: GPL (>= 2)
  • Last published: 2025-10-30