A Primer in Biological Data Analysis and Visualization Using R
A Primer in Biological Data Analysis and Visualization Using R.
A primer in biological data analysis and visualization using R /
R for data science cookbook : over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques /
R Graph essentials : use R's powerful graphing capabilities to design and create professional-level graphics /
R Programming By Example : Practical, hands-on projects to help you get started with R.
RStudio for R statistical computing cookbook : over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature /
R programming fundamentals : deal with data using various modeling techniques /
R data analysis projects : build end to end analytics systems to get deeper insights from your data /
Modern R programming cookbook : recipes to simplify your statistical applications /
R for data science /
Shin kango, rihabiri, fukushi no tame no Excel to R o tsukatta tōkeigaku /
R data mining : implement data mining techniques through practical use cases and real-world datasets /
Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R /
Learning Predictive Analytics with R.
Visual linguistics with R : a practical introduction to quantitative interactional linguistics /
Statistics for machine learning : build supervised, unsupervised, and reinforcement learning models using both Python and R /
Mastering predictive analytics with R : machine learning techniques for advanced models /
Exploring Data Analysis : The Computer Revolution in Statistics /
Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /
Applied data visualization with R and ggplot2 : Create useful, elaborate, and visually appealing plots /
Mastering R for quantitative finance : use R to optimize your trading strategy and build up your own risk management system /
Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems /
Seimei kagaku, seibutsu kōgaku no tame no machigai kara manabu jissen tōkei kaiseki : R, Python ni yoru dēta shori kotohajime /
Ecological models and data in R /
Learning Quantitative Finance with R.
A step-by-step guide to exploratory factor analysis with R and Rstudio /
Comparison of statistical experiments /
Bernoulli's fallacy : statistical illogic and the crisis of modern science /
Models of decision-making : simplifying choices /
Spatial branching in random environments and with interaction /
Probability, statistics, and analysis /
Wahrscheinlichkeitsrechnung und Statistik : Mathematische Anwendungen in Natur und Gesellschaft.
Mathematics Applied in Information Systems.
Probability, statistics and econometrics /
Massive data sets : proceedings of a workshop /
Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability.
Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability.
A mathematical theory of evidence /
The rise of statistical thinking, 1820-1900 /
Statistics in theory and practice /
Statistical explanation & statistical relevance
Fluid mechanics and statistical methods in engineering
The practice of data analysis : essays in honor of John W. Tukey /