person("Bryan A.", "Hanson", role = c("aut", "cre"), email = "hanson@depauw.edu")
Import data written in the JCAMP-DX format. This is an instrument-independent format used in the field of spectroscopy. Examples include IR, NMR, and Raman spectroscopy. See the vignette for background and supported formats.  The official JCAMP-DX site is <http://www.jcamp-dx.org/>.

person(
"Bryan A.", "Hanson",
role = c("aut", "cre"),
email = "hanson@depauw.edu",
comment = "ORCID 0000-0003-3536-8246")

person(
"Bryan A.", "Hanson",
role = c("aut", "cre"),
email = "hanson@depauw.edu",
comment = c(ORCID = "0000-0003-3536-8246"))

Weather Data Download from WWW.METEOGALICIA.COM
This package allows to download weather data from
MeteoGalicia.com (10-minutes, daily, monthly) from all
stations, automatically.
data, weather, read, download, meteo, meteogalicia

This package allows to download weather data from MeteoGalicia.com (10-minutes, daily, monthly) from all stations, automatically.

Reading machine learning benchmark data sets from different
sources in their original format.
The data are not part of the package. The package requires
to receive a path to the data and a path to their description,
which consists of one XML file and R scripts. Each data set is
read into R as a data frame using its own R script. The tar
ball "UCI_ML_DataDescription-*" provided at
"http://www.cs.cas.cz/~savicky/readMLData" is an example of the
description directory for some of the data sets from UCI
Machine Learning Repository.

The data are not part of the package. The package requires
to receive a path to a local copy of the data and their
description, which consists of an XML file "contents.xml" and R
scripts. Each data set is read into R as a data frame using its
own R script.  An example of the description directory for some
of the data sets from UCI Machine Learning Repository is
available at "http://www.cs.cas.cz/~savicky/readMLData".

Reading Machine Learning Benchmark Data Sets in Different
Formats
Functions for reading data sets in different formats
for testing machine learning tools are provided. This allows to run
a loop over several data sets in their original form, for example
if they are downloaded from UCI Machine Learning Repository.
The data are not part of the package and have to be downloaded
separately.