A Graphical Approach for Analyses of Data Thin Non-Parametric Continuous Variable of B. dario with R
Non-Parametric Continuous Variable of B. dario with R
Shyamal Kumar Paul
a:1:{s:5:"en_US";s:116:"Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali";}Bhakta Supratim Sarker
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, NoakhaliAssociate Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Bangladesh
Md. Kawser Kadir Maruf
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, NoakhaliPriyanka Rani Majumdar
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, NoakhaliAssistant Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali.
Md. Golam Azom
3Department of Biology (Ecology and Evolutionary Biology Discipline), University of Oklahoma, USADebasish Saha
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, NoakhaliAssociate Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali
Abstract
Botia dario is categorized as endangered due to considerable drop in population over past two decades creates data thin condition where the nonparametric statistical methods are superior alternative approach for data drafting. Small data set necessitate graphical display reducing the chance of data compression by numerical analyses. Monthly mass and length density estimates, location, and spread were compared with R computing environment through charts and plots; proposing a graphical method for single discrete and continuous data analyses. Through graphicacy the novel method reveals the pattern for mass and length of B. dario by depicting the modes and skews of the kernel density estimates suggested wide fluctuations during pre-monsoon months; whereas the spreads and locations of boxplots draping dot-whiskers infer the Gaussian kernel by pairwise comparisons. The boxplot widths, notches of the boxplots and red dot-whiskers illustrate comprehensive variations. The novel method and suggestive narratives appeal for inclusive use excluding the limitations.
Keywords:
graphicacy, dot chart, gaussian kernel, sheather-jones bandwidth, distribution patternReferences
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a:1:{s:5:"en_US";s:116:"Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali";}
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali
<p>Associate Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Bangladesh</p> Bangladesh
Associate Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Bangladesh
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali
<p>Assistant Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali.</p> Bangladesh
Assistant Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali.
3Department of Biology (Ecology and Evolutionary Biology Discipline), University of Oklahoma, USA
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali
<p>Associate Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali</p> Bangladesh
Associate Professor, Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali