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An R package for the analysis of HOBO weather station data. The HOBO files as CSV, time formats accepted: DD/MM/YYYY, MM/DD/YYYY, YY/MM/DD
This project is available on GitHub at
https://github.com/LeBoldus-Lab/hoboR and can be installed
using devtools. CRAN pending.
For Windows ‘install from R cran’, then you need to install from the Rtools45 installer or 64-bit ARM Rtools45 installer.
ggplo2 (4.0.1) incompatible with rlang, use ggplot2 4.0.0.
install.packages("devtools")
library("devtools")
# Installing hoboR through devtools
devtools::install_github("LeBoldus-Lab/hoboR")
library(hoboR)Required dependencies if not installed
install.packages("dplyr")
install.packages("plyr")
install.packages("lubridate")
install.packages("reshape")
install.packages("ggplot2")
install.packages("devtools")HoboR usage
Download the csv files from
inst/extdata/
path <- "~/directory/csv_files"# Important data structure formsy, ypu may need to skip some rows
# channels must bet set on OFF, unless you are calibrating [see calibration](https://leboldus-lab.github.io/hoboR//2024/04/05/hobor-calibration.html)
hobofiles <- hobinder(path, header = T, skip = 1, channels = "OFF")
cleanfiles <- hobocleaner(hobofiles, format = "ymd")
# get summary statistics
hobodata <- meanhobo(cleanfiles, summariseby = "5 mins", na.rm = T)Read the Manual
This work is subject to the MIT License
United States Department of Agriculture Co-operative agreement number: 58-2072-1-039
Welcome pull submission through Github pull request. Please report errors or requests using GitHub issues.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.