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, Noakhali

Associate 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, Noakhali

Priyanka Rani Majumdar

Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali

Assistant 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, USA

Debasish Saha

Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali

Associate 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 pattern


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Published
2022-12-12

Cited by

Paul, S. K., Sarker, B. S. ., Maruf, M. K. K. ., Majumdar, P. R., Azom, M. G. ., & Saha, D. (2022). 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. Polish Journal of Natural Sciences, 37(2). https://doi.org/10.31648/pjns.7414

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, 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


Md. Kawser Kadir Maruf 
Department of Fisheries and Marine Science, Faculty of Science, Noakhali Science and Technology University, Noakhali
Priyanka Rani Majumdar 
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.


Md. Golam Azom 
3Department of Biology (Ecology and Evolutionary Biology Discipline), University of Oklahoma, USA
Debasish Saha 
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









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