Robust Ecological and Fisheries Data Analysis and Visualization

A comprehensive statistical and visualization toolkit tailored for observational data in fisheries science and aquatic ecology. Provides streamlined workflows for univariate and factorial analysis of variance (ANOVA), analysis of covariance (ANCOVA), multivariate analysis of variance (MANOVA), permutational multivariate analysis of variance (PERMANOVA), similarity percentages (SIMPER), generalized linear models, non-linear morphometric regressions, two-group hypothesis testing, and chi-square tests. Features multivariate ordination methods including non-metric multidimensional scaling (NMDS), principal component analysis (PCA), redundancy analysis (RDA), distance-based redundancy analysis (db-RDA), and hierarchical cluster dendrograms. Computes alpha diversity metrics, species accumulation curves, water quality index (WQI) values, heavy metal ecotoxicological contamination indices, correlation heatmaps, and Mantel test network linkages. Offers specialized environmental visualizations including Sankey diagrams, Likert plots, circular bar charts, and longitudinal time-series with uncertainty ribbons. Methodological formulations for multivariate permutation tests follow Anderson (2001) . Ecological community dissimilarity transformations follow Legendre and Gallagher (2001) , and ecotoxicological contamination index models follow Tomlinson et al. (1980) .


Reference manual

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install.packages("aquats")

1.2.2 by Ataher Ali, 4 hours ago


https://github.com/Ataher76/aquats, https://doi.org/10.5281/zenodo.22885025


Report a bug at https://github.com/Ataher76/aquats/issues


Browse source code at https://github.com/cran/aquats


Authors: Ataher Ali [aut, cre] , Mohammed Shahidul Alam [aut] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, emmeans, ggplot2, ggpubr, ggrepel, MASS, multcomp, RColorBrewer, rlang, tidyr, ggalluvial, vegan

Suggests cowplot, knitr, multcompView, patchwork, readxl, rmarkdown, writexl


See at CRAN