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.