Package: beautils 0.2.0

Tiago Olivoto

beautils: Field Planning and Biostatistics Utilities

Provides a collection of utility functions for biostatistics, agricultural trial planning, and experimental design. Key features include generating experimental designs (like Latin Square, Alpha-Lattice by Patterson and Williams (1976) <doi:10.2307/2335087>, and Factorial), fieldbook creation, layout sketching, QR code-based label generation, and descriptive statistical tools to easily handle most common descriptive statistics for quantitative variables as described by Field, A., Miles, J., & Field, Z. (2012, ISBN:978-1-4462-0045-2).

Authors:Tiago Olivoto [aut, cre]

beautils_0.2.0.tar.gz
beautils_0.2.0.tar.gz(r-4.7-any)beautils_0.2.0.tar.gz(r-4.6-any)
beautils_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
beautils/json (API)

# Install 'beautils' in R:
install.packages('beautils', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 77 exports 96 dependencies

Last updated from:ef40887439. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK171
source / vignettesOK236
linux-release-x86_64OK153
wasm-releaseOK181

Exports:aesalpha_latticearrangeaugmentedav_devave_devci_mean_tci_mean_zcountcreate_labelcvcv_bydesc_statdesc_widerdf_eucaliptodf_linhacadf_normaldf_qualidf_quali_quali_cidf_quali_quali_ci2df_quali_quali_sidf_quali_quanti_cidf_quali_quanti_sidf_quanti_1df_quanti_2filterfreq_histfreq_tablefull_factorialget_wd_hereggplotgmeangroup_byhmeankurtlabelizelatin_squaremake_qrcodemax_bymean_bymin_bymutaten_byn_missingn_uniquen_validopen_wdopen_wd_herepseudo_sigmarange_datarow_col_meanrow_col_sumsample_randomsample_systematicsd_amosd_bysd_popselectsemsem_byset_differenceset_intersectset_unionset_wd_hereskewsplit_plotstrip_plotsum_bysum_devsum_sqsum_sq_devsummariseungroupunifatorialvar_amovar_byvar_pop

Dependencies:askpassattemptbase64encblocksdesignbslibcachemclicommonmarkconfigcpp11crosstalkcurldata.tabledesplotdigestdplyrDTevaluatefarverfastmapFielDHubfontawesomefsgenericsggplot2gluegolemgridExtragtableherehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrmemoisemimenumbersopensslotelpillarpkgconfigplotlyplyrpngPolynomFpromisespurrrqrencoderR6rappdirsrasterRColorBrewerRcppreshape2rlangrmarkdownrprojrootrstudioapiS7sassscalesshinyshinyalertshinycssloadersshinyjsshinythemessourcetoolsspstringistringrsysterratibbletidyrtidyselecttinytexutf8uuidvctrsviridisviridisLitewithrxfunxtableyaml

Readme and manuals

Help Manual

Help pageTopics
Generate Alpha-Lattice Design with Fieldbook and Field Mapalpha_lattice
Augmented Block Design with Fieldbook and Field Mapaugmented
Create plot labels in PDFcreate_label
Descriptive statisticsdesc_stat desc_wider
Example of Eucalyptus Plant Datadf_eucalipto
Example of Flax Plant Datadf_linhaca
Example of Normal datadf_normal
Example of Qualitative datadf_quali
Example of Qualitative x Qualitative data (with significant interaction)df_quali_quali_ci
Example of Qualitative x Qualitative data (no significant interaction)df_quali_quali_ci2
Example of Qualitative x Qualitative data (no significant interaction)df_quali_quali_si
Example of Qualitative x Quantitative data (with significant interaction)df_quali_quanti_ci
Example of Qualitative x Quantitative data (no significant interaction)df_quali_quanti_si
Example of Quantitative data (linear trend)df_quanti_1
Example of Quantitative data (quadratic trend)df_quanti_2
Full Factorial Design with Fieldbook and Plot Mapfull_factorial
Generate plot labels from a fieldbooklabelize
Latin Square Design with Fieldbook and Field Maplatin_square
Generate a QR code graphic objectmake_qrcode
Split-Plot Design with Fieldbook and Plot Mapsplit_plot
Strip Plot (Experiments in Strips) with Fieldbook and Field Mapstrip_plot
Single Factor Design with Fieldbook and Plot Mapunifatorial
Random Samplingsample_random sample_systematic utils_samples
Utilities for set operations for many setsset_difference set_intersect set_union utils_sets
Useful functions for computing descriptive statisticsave_dev av_dev ci_mean_t ci_mean_z cv cv_by freq_hist freq_table gmean hmean kurt max_by mean_by min_by n_by n_missing n_unique n_valid pseudo_sigma range_data row_col_mean row_col_sum sd_amo sd_by sd_pop sem sem_by skew sum_by sum_dev sum_sq sum_sq_dev utils_stats var_amo var_by var_pop
Set and get the Working Directory quickyget_wd_here open_wd open_wd_here set_wd_here utils_wd