beautils 0.2.0

beautils 0.1.0

• Initial release of beautils, a package providing a collection of utility functions for biostatistics, agricultural trial planning, and experimental design.

Features

Experimental Planning & Designs

• Added functions to generate experimental designs:
  • 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.

Biostatistics & Summary Tools

• Added core statistical tools:
  • 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.
  • Deviation helpers: av_dev(), ave_dev(), sum_dev(), sum_sq(), sum_sq_dev().
• Added by-group summary helpers: mean_by(), sd_by(), var_by(), sum_by(), min_by(), max_by(), n_by(), sem_by(), and cv_by().
• Added frequency distribution tools:
  • freq_table(): Generates frequency distribution tables.
  • freq_hist(): Plots frequency histograms.

Labeling & QR Codes

• Added labeling utility functions:
  • create_label(): Generates print-ready labels for experimental units.
  • labelize(): Formats variables to display nicely on labels.
  • make_qrcode(): Generates QR codes.