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Study to put in writing quicker R code, discover benchmarking and profiling, and unlock the insider secrets of parallel programming.
ANOVA for regression: Evaluation of variance calculations for easy and many regression, f figures
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Inference in linear regression: self confidence intervals for intercept and slope, importance checks, signify response and prediction intervals.
Other than currently being a language suitable for statistical facts Examination, R is Similarly a simple functionality programming language, which may be utilized for automate analyses, acquiring brand name-new capabilities that stretch features of existing languages. It includes features of item-oriented programming and sensible programming languages.
 — Inference for categorical information: importance exams and self confidence intervals for just one percentage, and comparison of two percentages
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Learn the way to leverage Bayesian estimation methods to make greater inferences about linear regression products.
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