Crosswalks Between Classifications of Occupations
c(
person("Alexandros", "Kouretsis", email = "ako@eworx.gr", role = c("aut", "cre")),
person("Andreas", "Bampouris", email = "aba@eworx.gr", role = "aut")
)
Allows the user to perform approximate
matching between the occupational classifications using concordances provided by
the Institute for Structural Research and Faculty of Economics, University of
Warsaw, <doi:10.1111/ecot.12145>. The crosswalks offer a complete
step-by-step mapping of Standard Occupational Classification (2010) data to the
International Standard Classification of Occupations (2008). We propose a
mapping method based on the aforementioned research that converts measurements
to the smallest possible unit of the target taxonomy, and then performs an
aggregation/estimate to the requested degree Occupational Hierarchical level.
Alexandros Kouretsis [aut, cre],
Andreas Bampouris [aut]

Provides data sets for Introduction to Statistical Data Analysis
for the Life Sciences
Claus Ekstrom <ekstrom@life.ku.dk> and Helle Sorensen
<helle@math.ku.dk>
Provides data sets for Introduction to Statistical Data
Analysis for the Life Sciences

Provides datasets for Introduction to Statistical Data Analysis
for the Life Sciences
Provides datasets for Introduction to Statistical Data
Analysis for the Life Sciences

Claus Ekstrom <ekstrom@life.ku.dk> and Helle Sorensen <helle@math.ku.dk>
Provides datasets for Introduction to Statistical Data Analysis for the Life Sciences

Claus Ekstrom <cekstrom@health.sdu.dk> and Helle Sorensen
<helle@math.ku.dk>

Claus Ekstrom <ekstrom@sund.ku.dk> and Helle Sorensen <helle@math.ku.dk>

Provides Datasets for Introduction to Statistical Data Analysis
for the Life Sciences
Claus Thorn Ekstrøm <ekstrom@sund.ku.dk> and Helle Sørensen <helle@math.ku.dk>
Provides datasets for the book "Introduction to Statistical Data Analysis for the Life Sciences, Second edition" by Ekstrøm and Sørensen (2014).

Parse 'NOAA' Integrated Surface Data Files
Tools for parsing 'NOAA' Integrated Surface Data ('ISD') files,
described at <https://www.ncdc.noaa.gov/isd>. Data includes for example,
wind speed and direction, temperature, cloud data, sea level pressure,
and more. Includes data from approximately 35,000 stations worldwide,
though best coverage is in North America/Europe/Australia. Data is stored
as variable length ASCII character strings, with most fields optional.
Included are tools for parsing entire files, or individual lines of data.
c(
person("Scott", "Chamberlain", role = c("aut","cre"), email = "myrmecocystus@gmail.com")
)
roxygen2 (>= 5.0.1), testthat, rmarkdown, knitr, covr