reference-keys.txt

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introduction
overview
why-learn-r
flexibility-and-power
reproducibility
extensive-community-and-package-ecosystem
cost
replicating-spss-functionality-in-r
data-management
descriptive-statistics
statistical-tests
regression-analysis
data-visualisation
transitioning-from-spss-to-r
building-confidence-in-r
leveraging-rs-ecosystem
conclusion
getting-started-with-r
the-r-environment
overview-of-the-rstudio-interface
console-vs.-scripts-vs.-notebooks
introduction-to-r-packages-and-installing-key-packages
introduction-to-r-packages
installing-and-loading-packages
key-packages-for-data-analysis
managing-package-dependencies
summary
coding-conventions-and-best-practices
writing-clean-and-readable-code
commenting-and-structuring-scripts
data-types-and-structures
introduction-to-vectors-data-frames-lists-and-factors
comparing-r-data-types-to-spss-data-types
basic-operations-and-functions-in-r
arithmetic-operations
logical-operations
basic-functions
conclusion-1
data-management-in-r
data-import-and-export
importing-data
exporting-data
data-cleaning-and-preparation
handling-missing-data
filtering-and-subsetting-data
data-transformations
the-dplyr-pipeline
working-with-categorical-data
creating-and-manipulating-factors
recoding-variables
frequency-tables-and-cross-tabulations
conclusion-2
connecting-to-and-accessing-a-postgresql-database
introduction-1
setting-up-the-environment
installing-necessary-packages
connecting-to-postgresql-using-rpostgres
querying-data-from-postgresql
executing-a-query
handling-errors-and-troubleshooting
conclusion-3
descriptive-statistics-and-visualisations
introduction-to-descriptive-statistics
understanding-descriptive-statistics
basic-descriptive-statistics-in-r
creating-visualisations-with-ggplot2
introduction-to-ggplot2
creating-basic-plots
bar-charts
histograms
boxplots
customising-your-plots
descriptive-statistics-with-dplyr
using-dplyr-to-summarise-data
combining-dplyr-with-ggplot2
advanced-visualisation-techniques
faceting
combining-multiple-geoms
saving-your-plots
conclusion-4
survey-analysis-in-r
introduction-to-survey-data
key-concepts-in-survey-analysis
understanding-survey-data-structures
importing-and-preparing-survey-data
converting-data-for-survey-analysis
descriptive-analysis-of-survey-data
calculating-means-and-totals
frequencies-and-cross-tabulations
comparing-results-with-spss-survey-functions
weighting-survey-data
applying-weights
analysing-weighted-survey-data
conclusion-5
inferential-statistics
hypothesis-testing
t-tests
one-sample-t-test
independent-two-sample-t-test
paired-t-test
interpreting-t-test-results
chi-square-tests
chi-square-test-of-independence
chi-square-goodness-of-fit-test
interpreting-chi-square-test-results
anova-analysis-of-variance
interpreting-anova-results
post-hoc-anova-analysis-if-significant
correlation-analysis
pearson-correlation
spearman-correlation
pearson-vs-spearman
visualising-correlations
conclusion-6
regression-analysis-1
introduction-to-regression-analysis
what-is-linear-regression
simple-linear-regression-in-r
performing-simple-linear-regression
interpreting-the-output
multiple-linear-regression
performing-multiple-linear-regression
detailed-interpretation-of-the-output
checking-model-assumptions
assumption-1-linearity
assumption-2-normality-of-residuals
assumption-3-homoscedasticity
assumption-4-independence-of-errors
assumption-5-multicollinearity
transformations-and-interaction-terms
when-and-how-to-apply-transformations
using-interaction-terms
logistic-regression
performing-logistic-regression-in-r
interpreting-logistic-regression-output
checking-model-assumptions-for-logistic-regression
assumption-1-linearity-of-the-logit
assumption-2-independence-of-observations
assumption-3-absence-of-multicollinearity
assumption-4-sufficient-sample-size
model-validation-and-diagnostics
cross-validation
dealing-with-overfitting
conclusion-7
geographic-mapping-and-spatial-analysis
introduction-to-geographic-data-in-r
understanding-geographic-data-formats
importing-and-handling-spatial-data-with-the-sf-package
geographic-coordinate-systems-and-projections
introduction-to-coordinate-systems
common-issues-with-coordinate-systems-in-r
handling-coordinate-systems-in-r
practical-considerations
creating-basic-maps
plotting-data-on-maps-using-ggplot2-and-sf
customising-maps
spatial-analysis
basic-spatial-operations
creating-choropleth-maps
conclusion-8