scholarly journals The taxlist package: managing plant taxonomic lists in R

2018 ◽  
Vol 6 ◽  
pp. e23635 ◽  
Author(s):  
Miguel Alvarez ◽  
Federico Luebert
Keyword(s):  
Data Structure ◽  
Statistical Analysis ◽  
Relational Databases ◽  
Object Oriented ◽  
R Package ◽  
Species Lists ◽  
Object Oriented Modelling

Taxonomic lists are crucial elements of vegetation-plot databases and provide the links between original entries, reference taxon views and different taxon concepts. We introduce the R package taxlist in the context of object-oriented modelling for taxonomic lists. This package provides a data structure based on species lists in Turboveg, which is a software broadly used for the storage of vegetation-plot databases and implements functions for importing and handling them prior to statistical analysis. We also present a schema for relational databases, compatible with taxlist objects and recommend its use for handling diversity records.

A Case Study on Object-oriented Modelling and Simulation of Machine Tools

2013 ◽  
Vol 23 (3-4) ◽  
Author(s):  
Bernhard Heinzl ◽  
Michael Landsiedl ◽  
Fabian Duer ◽  
Alexandros-Athanassios Dimitriou ◽  
Wolfgang Kastner ◽  
...  
Keyword(s):  
Machine Tools ◽  
Object Oriented ◽  
Modelling And Simulation ◽  
Object Oriented Modelling

scholarly journals Statistical analysis of cytogenetic data

2021 ◽  
Vol 28 ◽  
pp. 146-150
Author(s):  
L. A. Atramentova
Keyword(s):  
Data Structure ◽  
Statistical Analysis ◽  
Confidence Interval ◽  
Statistical Method ◽  
Confidence Intervals ◽  
Study Design ◽  
Cytogenetic Study ◽  
Data Set ◽  
Statistical Errors ◽  
Cytogenetic Data

Using the data obtained in a cytogenetic study as an example, we consider the typical errors that are made when performing statistical analysis. Widespread but flawed statistical analysis inevitably produces biased results and increases the likelihood of incorrect scientific conclusions. Errors occur due to not taking into account the study design and the structure of the analyzed data. The article shows how the numerical imbalance of the data set leads to a bias in the result. Using a dataset as an example, it explains how to balance the complex. It shows the advantage of presenting sample indicators with confidence intervals instead of statistical errors. Attention is drawn to the need to take into account the size of the analyzed shares when choosing a statistical method. It shows how the same data set can be analyzed in different ways depending on the purpose of the study. The algorithm of correct statistical analysis and the form of the tabular presentation of the results are described. Keywords: data structure, numerically unbalanced complex, confidence interval.

scholarly journals A Chip for a Routing Table Based on a Novel Modified Trie Algorithm

VLSI Design ◽  
2000 ◽  
Vol 11 (4) ◽  
pp. 405-415
Author(s):  
D. Torres ◽  
A. Larios ◽  
M. Guzmán
Keyword(s):  
Data Structure ◽  
High Performance ◽  
Object Oriented ◽  
Pci Bus ◽  
Memory Space ◽  
General Behavior ◽  
Routing Table ◽  
Starting Point ◽  
Associated Data

The design for a routing table circuit for Ethernet-, IP- and ATM-applications is presented. Starting point for the design was an object-oriented general behavior of the routing table. The selected data structure for the routing table is based on a modification of the structure denominated trie, saving one search level and memory space. The architecture for searching and sorting of data, implemented in hardware, is explained. This modified trie stores 64 K addresses and the associated data, achieving a high performance too. The circuit, which can support a flow of 500000 frames/s, is connected to the PCI Bus. For the implementation a FLEX10K100 from Altera Company was used.

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