A pure R implementation of the median cut algorithm.
Extracts the dominant colors from an image, and turns them into
a scale for use in plots or for fun!

The metrics() function calculates measures of scholarly impact.
These include conventional measures, such as the number of publications
and the total citations to all publications, as well as modern and
robust metrics based on the vector of citations associated with each
publication, such as the h index and many of its variants or rivals.
These methods are described in Ruscio et al. (2012)
<DOI: 10.1080/15366367.2012.711147>.

A package to connect and run queries on Cloudera Impala

Austin Chungath Vincent, Sachin Sudarshana, Vikas Raguttahalli
Vikas Raguttahalli <vikas.r@mu-sigma.com>, Sachin Sudarshana
<sachin.sudarshana@mu-sigma.com>
A package to connect and run queries on Cloudera Impala (thanks to Mu Sigma)

Vikas Raguttahalli <vikas.r@mu-sigma.com>, Sachin Sudarshana
<sachin.sudarshana@gmail.com>

Vijay Raajaa, Austin Chungath Vincent, Sachin Sudarshana, Vikas Raguttahalli
Austin Chungath Vincent <austincv@gmail.com>,Vikas
Raguttahalli <vikas.r@mu-sigma.com>, Sachin Sudarshana
<sachin.sudarshana@gmail.com>
RImpala facilitates the connection and execution of distributed queries using Cloudera Impala, which is a massively parallel processing (MPP) SQL query engine that runs natively in Apache Hadoop. Impala supports jdbc integration which RImpala utilizes to establish the connection between R and Impala.

RImpala facilitates the connection and execution of distributed queries using Cloudera Impala, which is a massively parallel processing (MPP) SQL query engine that runs natively in Apache Hadoop. Impala supports jdbc integration which RImpala utilizes to establish the connection between R and Impala. Thanks to Mu Sigma for their continued support throughout the development of the package.

Cloudera 'Impala', which is a massively parallel processing (MPP) SQL query engine runs natively in Apache Hadoop. 'RImpala' facilitates the connection and execution of distributed queries through 'R'. 'Impala' supports JDBC integration which 'RImpala' utilizes to establish the connection between 'R' and 'Impala'. Thanks to Mu Sigma for their continued support throughout the development of the package.