ldcp_run

is the <code><a rd-options="" href="/link/ldcp?package=rLDCP&version=1.0.2" data-mini-rdoc="rLDCP::ldcp">ldcp</a></code> system.

ldcp

is the system input data. May be a vector, list, or matrix with numbers. It is a new input to the <code><a rd-options="" href="/link/data_structure?package=rLDCP&version=1.0.2" data-mini-rdoc="rLDCP::data_structure">data_structure</a></code> object. By default, is NULL.

input

Execute the <code><a rd-options="" href="/link/ldcp?package=rLDCP&version=1.0.2" data-mini-rdoc="rLDCP::ldcp">ldcp</a></code> system in order to obtain the linguistic report.
This method follows these three sequential steps 1) Data acquisition, 2) Interpretation and 3)
Report generation.
Data acquisition process gets the input data and prepares the data structure. Then, the data
are interpreted using the GLMP. The result is a set of computational perceptions (CP) that are valid to describe
these data. Finally, the report generation process generates a linguistic report using the report template
and the previous set of CPs.

Linguistic Descriptions of Complex Phenomena (LDCP) is an architecture and methodology that allows us to model complex phenomena, interpreting input data, and generating automatic text reports customized to the user needs (see <doi:10.1016/j.ins.2016.11.002> and <doi:10.1007/s00500-016-2430-5>). The proposed package contains a set of methods that facilitates the development of LDCP systems. It main goal is increasing the visibility and practical use of this research line.

Patricia Conde-Clemente

rLDCP

Text Generation from Data

ldcp_run function

is the <code><a rd-options='' href='ldcp'>ldcp</a></code> system.

is the system input data. May be a vector, list, or matrix with numbers. It is a new input to the <code><a rd-options='' href='data_structure'>data_structure</a></code> object. By default, is NULL.

Execute the <code><a rd-options='' href='ldcp'>ldcp</a></code> system in order to obtain the linguistic report.
This method follows these three sequential steps 1) Data acquisition, 2) Interpretation and 3)
Report generation.
Data acquisition process gets the input data and prepares the data structure. Then, the data
are interpreted using the GLMP. The result is a set of computational perceptions (CP) that are valid to describe
these data. Finally, the report generation process generates a linguistic report using the report template
and the previous set of CPs.

ldcp_run: Execute the LDCP system

Description

Usage

Arguments

Value

Examples