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R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics, and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
Root cause analysis. In the field of science and engineering, root cause analysis ( RCA) is a method of problem solving used for identifying the root causes of faults or problems. [ 1] It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, [ 2] rail transport, or ...
Thematic analysis is used in qualitative research and focuses on examining themes or patterns of meaning within data. [ 12] This method can emphasize both organization and rich description of the data set and theoretically informed interpretation of meaning. [ 1] Thematic analysis goes beyond simply counting phrases or words in a text (as in ...
The term can be traced to World War I, where it was recognized as a crucial skill for crews in military aircraft. [ 15 ] There is evidence that the term situational awareness was first employed at the Douglas Aircraft Company during human factors engineering research while developing vertical and horizontal situation displays and evaluating ...
Research report. A research report is a publication that reports on the findings of a research project. [ 1] Research reports are produced by many sectors including industry, education, government and non-government organizations and may be disseminated internally, or made public (i.e. published) however they are not usually available from ...
The Research Domain Criteria ( RDoC) project is an initiative of personalized medicine in psychiatry developed by US National Institute of Mental Health (NIMH). In contrast to the Diagnostic and Statistical Manual of Mental Disorders (DSM) maintained by the American Psychiatric Association (APA), RDoC aims to address the heterogeneity in the ...
Constructing skill trees (CST) is a hierarchical reinforcement learning algorithm which can build skill trees from a set of sample solution trajectories obtained from demonstration. CST uses an incremental MAP ( maximum a posteriori) change point detection algorithm to segment each demonstration trajectory into skills and integrate the results ...
See also References Inclusion criteria This glossary serves as a point of reference for terms which are commonly used within association football, and which have a sport-specific meaning. It seeks to avoid defining common English words and phrases that have no special meaning within football. Exceptions include cases where a word or phrase's use in the context of football might cause confusion ...