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conf_int() to calculate confidence intervals for
the mean with or without grouping variables. Computes sample size, mean,
standard deviation, standard error, degrees of freedom, calculated
t-statistic, tabulated/critical t-value, and confidence limits
(LI and LS), with optional elegant horizontal
confidence interval plots (forest plots).t_test() to perform independent samples t-tests
for all pairwise combinations with automated significance brackets,
descriptive statistics, and boxplot/violin visualizations.t_test_paired() to perform paired samples t-tests
with sequential pairing verification and paired line
visualizations.square_lattice(): Generates Square Lattice
designs (\(t = k^2\)) with fieldbook
creation, UUID tagging, and visual field maps with incomplete block and
replicate delimitation.rectangular_lattice(): Generates Rectangular
Lattice designs for resolvable incomplete block experiments.prep_design(): Generates partially replicated
(p-rep) designs for trials with unreplicated, partially replicated, and
high-replication check entries.uuid_random() and
uuid_deterministic() for generating random (v4) and
reproducible deterministic (v5) UUIDs.R CMD check without variable binding notes.stats::complete.cases and
utils::combn.tests/testthat/ with 48 passing
tests covering all new features and edge cases.beautils, a package providing a
collection of utility functions for biostatistics, agricultural trial
planning, and experimental design.alpha_lattice(): Generates Alpha-Lattice designs.augmented(): Generates Augmented Block designs.full_factorial(): Generates Full Factorial
designs.latin_square(): Generates Latin Square designs.split_plot(): Generates Split-Plot designs.strip_plot(): Generates Strip-Plot designs.unifatorial(): Generates Randomized Complete Block
(RCBD) or Completely Randomized (CRD) designs.hmean(): Calculates the harmonic mean.gmean(): Calculates the geometric mean.kurt() and skew(): Measure kurtosis and
skewness.ci_mean_t() and ci_mean_z(): Calculate
confidence intervals using Student’s t or standard normal
distributions.sem(): Computes the standard error of the mean.pseudo_sigma(): Computes pseudo-sigma for robust scale
estimation.av_dev(), ave_dev(),
sum_dev(), sum_sq(),
sum_sq_dev().mean_by(),
sd_by(), var_by(), sum_by(),
min_by(), max_by(), n_by(),
sem_by(), and cv_by().freq_table(): Generates frequency distribution
tables.freq_hist(): Plots frequency histograms.create_label(): Generates print-ready labels for
experimental units.labelize(): Formats variables to display nicely on
labels.make_qrcode(): Generates QR codes.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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