Package: FielDHub 1.4.2

FielDHub: A Shiny App for Design of Experiments in Life Sciences

A shiny design of experiments (DOE) app that aids in the creation of traditional, un-replicated, augmented and partially-replicated designs applied to agriculture, plant breeding, forestry, animal and biological sciences.

Authors:Didier Murillo [cre, aut], Salvador Gezan [aut], Ana Heilman [ctb], Thomas Walk [ctb], Johan Aparicio [ctb], Matthew Seefeldt [ctb], Jean-Marc Montpetit [ctb], Richard Horsley [ctb], North Dakota State University [cph]

FielDHub_1.4.2.tar.gz
FielDHub_1.4.2.zip(r-4.5)FielDHub_1.4.2.zip(r-4.4)FielDHub_1.4.2.zip(r-4.3)
FielDHub_1.4.2.tgz(r-4.4-any)FielDHub_1.4.2.tgz(r-4.3-any)
FielDHub_1.4.2.tar.gz(r-4.5-noble)FielDHub_1.4.2.tar.gz(r-4.4-noble)
FielDHub_1.4.2.tgz(r-4.4-emscripten)FielDHub_1.4.2.tgz(r-4.3-emscripten)
FielDHub.pdf |FielDHub.html✨
FielDHub/json (API)
NEWS

# Install 'FielDHub' in R:

install.packages('FielDHub', repos = c('https://didiermurillof.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/didiermurillof/fieldhub/issues

On CRAN:

agricultural breeding design doe experimental plantbreeding shiny

9.14 score 44 stars 1 packages 72 scripts 913 downloads 22 exports 95 dependencies

Last updated 4 months agofrom:a6114452c2. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 23 2024
R-4.5-win	OK	Nov 23 2024
R-4.5-linux	OK	Nov 23 2024
R-4.4-win	OK	Nov 23 2024
R-4.4-mac	OK	Nov 23 2024
R-4.3-win	OK	Nov 23 2024
R-4.3-mac	OK	Nov 23 2024

Exports:alpha_lattice CRD diagonal_arrangement do_optim full_factorial incomplete_blocks latin_square multi_location_prep optimized_arrangement partially_replicated RCBD RCBD_augmented rectangular_lattice row_column run_app sparse_allocation split_families split_plot split_split_plot square_lattice strip_plot swap_pairs

Dependencies:askpass attempt base64enc blocksdesign bslib cachem cli colorspace commonmark config cpp11 crayon crosstalk curl data.table desplot digest dplyr DT evaluate fansi farver fastmap fontawesome fs generics ggplot2 glue golem gridExtra gtable here highr htmltools htmlwidgets httpuv httr isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme numbers openssl pillar pkgconfig plotly plyr PolynomF promises purrr R6 rappdirs RColorBrewer Rcpp reshape2 rlang rmarkdown rprojroot sass scales shiny shinyalert shinycssloaders shinyjs shinythemes sourcetools stringi stringr sys tibble tidyr tidyselect tinytex utf8 uuid vctrs viridis viridisLite withr xfun xtable yaml

Alpha Lattice Design

Rendered fromalpha_lattice.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-04-24
Started: 2022-07-28

Augmented Randomized Complete Block Design

Rendered fromRCBD_augmented.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-04-24
Started: 2022-07-28

Full Factorial Design

Rendered fromfull_factorial.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-04-24
Started: 2022-07-28

Optimized Multi-Location P-rep Design

Rendered frommulti_location_prep.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2024-03-27
Started: 2023-03-28

Partially Replicated (p-rep) Design

Rendered frompartially_replicated.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-10-27
Started: 2022-07-28

Randomized Complete Block Design

Rendered fromrcbd.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-04-24
Started: 2022-07-28

Row-Column Design

Rendered fromrow_column.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2024-07-26
Started: 2022-07-28

Split-Plot Design

Rendered fromsplit_plot.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-04-24
Started: 2022-07-28

Unreplicated Diagonal Arrangement Design

Rendered fromdiagonal_arrangement.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-04-24
Started: 2022-07-28

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Generates an Alpha Design	alpha_lattice
Generates a Completely Randomized Design (CRD)	CRD
Spatial Un-replicated Diagonal Arrangement Design	diagonal_arrangement
Generate the sparse or p-rep allocation to multiple locations.	do_optim
Generates a Full Factorial Design	full_factorial
Generates a Resolvable Incomplete Block Design	incomplete_blocks
Generates a Latin Square Design	latin_square
Optimized multi-location partially replicated design	multi_location_prep
Generates an Spatial Un-replicated Optimized Arrangement Design	optimized_arrangement
Generates a Spatial Partially Replicated Arrangement Design	partially_replicated
Plot a 'FielDHub' object	plot.FielDHub
Print a 'FielDHub' object	print.FielDHub
Print a 'fieldLayout' plot object	print.fieldLayout
Print the summary of a 'FielDHub' object	print.summary.FielDHub
Generates a Randomized Complete Block Design (RCBD)	RCBD
Generates an Augmented Randomized Complete Block Design (ARCBD)	RCBD_augmented
Generates a Rectangular Lattice Design.	rectangular_lattice
Generates a Resolvable Row-Column Design (RowColD)	row_column
Run the Shiny Application	run_app
Unreplicated designs using the sparse allocation approach	sparse_allocation
Split a population of genotypes randomly into several locations.	split_families
Generates a Split Plot Design	split_plot
Generates a Split Split Plot Design	split_split_plot
Generates a Square Lattice Design.	square_lattice
Strip Plot Design	strip_plot
Summary a 'FielDHub' object	summary.FielDHub
Swap pairs in a matrix of integers	swap_pairs

Package: FielDHub 1.4.2

FielDHub: A Shiny App for Design of Experiments in Life Sciences

Alpha Lattice Design

Augmented Randomized Complete Block Design

Full Factorial Design

Optimized Multi-Location P-rep Design

Partially Replicated (p-rep) Design

Randomized Complete Block Design

Row-Column Design

Split-Plot Design

Unreplicated Diagonal Arrangement Design

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)