Sex ratio, masculinity proportion, aged child ratio, child and old age dependency ratios, and constructing a population pyramid in R using realistic district level data.
Crude Birth Rate, Monthly Birth Rate, General Fertility Rate, Age Specific Fertility Rate, Total Fertility Rate, Gross and Net Reproduction Rates, computed step by step in R on real Bangladesh data.
Crude Death Rate, Age Specific Death Rate, completeness of registration adjustment, and direct standardisation in R for fair comparisons across populations.
Complete and abridged life tables, the canonical columns from $l_x$ through $e_x$, and the Fergany method with a radix of 100,000, all built in R from age specific mortality rates.
A graded practice round that mixes fertility, mortality, life tables, and dependency ratios on realistic Bangladesh and South Asia data, all solved in R.
The single factor fixed effects model in R, the ANOVA decomposition, the F test, model adequacy checks, Tukey HSD, and Bonferroni simultaneous intervals.
Blocking one nuisance factor out, the RCBD ANOVA in R, treatment and block effect estimation, residual diagnostics, and deciding whether blocking helped.
Two nuisance factors handled in a p by p layout, the LSD ANOVA decomposition, the randomisation procedure, and when LSD is preferable to RCBD.
A graded practice set covering CRD, RCBD, and Latin Square on agronomy, textile, and aquaculture style data, with the full R workflow from data to ANOVA to interpretation.
Self serve references you can browse outside class. Not covered in lectures, but worth keeping open during labs and exams.
A take home reference for writing exam and assignment solutions in R Markdown. Covers the YAML header, code chunks and their options, tables with knitr::kable, math equations, plots, knitting to PDF or HTML, plus a ready to paste exam template.
A quick reference for the R you will need across this course, since we do not teach R programming in class. Covers data types, vectors, data frames, subsetting, control flow, functions, the apply family, distribution functions, formulas, and plotting basics.