hail_install

hail_uninstall

If TRUE, hail will be downloaded along with the datasets to
run the examples. Use FALSE if you just want to install hail.

datasets_examples

A string with the path of the jar. Sparklyr extensions normally
install the jars in the java folder, but you can select a different one.

hail_path

Install hail dependencies and datasets to run the examples in documentation.
To remove hail use <code>hail_uninstall</code>.

'Hail' is an open-source, general-purpose, 'python' based data analysis
tool with additional data types and methods for working with genomic data, see
<https://hail.is/>. 'Hail' is built to scale and has first-class support for
multi-dimensional structured data, like the genomic data in a genome-wide
association study (GWAS). 'Hail' is exposed as a 'python' library, using primitives
for distributed queries and linear algebra implemented in 'scala', 'spark', and
increasingly 'C++'. The 'sparkhail' is an R extension using 'sparklyr' package.
The idea is to help R users to use 'hail' functionalities with the well-know
'tidyverse' syntax, see <https://www.tidyverse.org/>.

hail_install: Install Hail and Datasets

Description

Usage

Arguments