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Glossary.md

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Glossary

Accuracy: Aesthetic (variable vs constant): Agglomerative clustering: Aggregate statistic: Akaike information criterion: Anti-correlation: Arithmetic operator: Assignment operator (<- vs =): Assignment vs printing: Assignment: Assumption: Bagging: Benjamini–Hochberg correction: Bias-variance trade-off: Binary file: Bioconductor: Biplot: Bonferroni correction: Bottom-up clustering: Categorical variable: Class: Collinearity: Confidence interval: Consensus clustering: Console: Contingency table: Continuous variable: Correlation coefficient: Correlation of error terms: Correlation: CRAN: Cross-validation: Data frame: Data structure: Data wrangling: Decision tree: Dendrogram cutting: Dendrogram: Dependent variable: Distance metric: Dummy variable: Effect size: Embedding: Environment: Error: Euclidean distance: Exact test: Expected value: Facet: Factor: False discovery rate: False negative: False positive: File format: File path: Absolute vs relative File system: Fitted values: Formula: Function: Geom: Graph-based clustering: Grouped tibble: Heatmap: Help page: Heteroskedasticity: Hyperparameter: Independent variable: Integrated development environment (IDE): Interaction terms: Intercept: Label: Lasso: Layer: Leverage: Linear dimensional reduction: Linear relationship: Linkage: List column: List: Loading: Logical operator: Logical operator: AND vs OR Magrittr pipe: Matrix: Model prediction: Model selection: Model: Monotonic relationship: Names: Row/column/element Non-deterministic algorithm: Non-linear dimensional reduction: Non-linearity: Non-parametric test: Normal distribution: Object: Observed value: Odds ratio: One-based indexing: Open source: Outlier: Overfitting: P-hacking: P-value distribution: P-value: Package: Parametric test: Plain text file: Precision: Prompt (> vs +): Quantile-quantile plot: R: Raster image: Recall: Regression coefficient: Regularization: Reproducibility: Reproducible example (reprex): Residuals: RStudio project: RStudio project: RStudio: Run/Source: Scale: Scaling: Scree plot: Script: Sensitivity: Specificity: Stability: Statement: stringsAsFactors: Subsetting: Test data: Text editor: vs word processor Theme: Tibble: Tidy format: Training data: Two-sample test: Type coercion: Type-1 error rate: Type-2 error rate: Variable importance: Variable selection: Variable: Vector concatenation: Vector image: Vector length: Vector recycling: Vector type: logical, integer, double, character Vector: Warning: Wide vs long format: Working directory: