R software
R is an open-source software environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others.
Lab products found in correlation
32 protocols using r software
Biomarker Usage Across Hospitals
Statistical Analysis of Anaerobic Bacteremia
Comparative Analysis of IBD Cohort
Non-IBD patients were matched to the IBD patients by age and gender using nearest method with the ratio 2:1 to generate the similar pairwise comparison. In this manner, a larger number of controls were collected to ensure appropriate matching of age and gender to the IBD cohort. P values of less than 0.05 were considered statistically significant for the analyses. All analyses were performed using SAS software, version 9.4 (SAS Institute, Cary, NC) and R software, version 3.5.3.
Sugarcane Genotypic Evaluation: Yield Traits
The least significant difference (LSD) test-taking probability level was used to statistically separate the genotypes’ mean values (p <0.001). Using each trait’s mean sum of squares from ANOVA results, the following genetic parameters were estimated (Asante, Adjah & Annan-Afful, 2019 (link)).
Mice Dietary Impact Analysis
Improving COPD Outcomes with IDM Intervention
Geographic Residence and Fruit/Vegetable Consumption
Predictors of Death, BPD, and PIVH in Neonates
Optimized Statistical Analysis of Experimental Data
Survival Analysis of Hematological Malignancies
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