Processing of toxicological studies results in the statistical program R

The presented article is devoted to the analysis of the experimental values and the applicability of the toxicological studies results in the statistical environment R. This freely distributed program has great functional potential and well-designed algorithm, these make it "...the undisputed leader among the freely distributed systems for statistical analysis..." As the data, the experimental results to assess the toxicity of a highly- mineralized sample in the industrial production wastes were used. We evaluated two test-functions: the change in the population increase of cells and the fluorescence level of laboratory culture of the marine diatom algae Phaeodactylum tricornutum. The detailed algorithm of the analysis, namely: data initialization, evaluation of selective parameters of descriptive statistics, toxicity assessment, single-factor analysis of variance (ANOVA), Tukey and Dunnett multiple comparison tests, evaluation of correlation between the observed variable (Spearman and Pearson correlation coefficients) are presented in the article. The complete list of scripts in the program R allows to reproduce a similar analysis