Package: DoOR.functions 2.0.2
DoOR.functions: Integrating Heterogeneous Odorant Response Data into a Common Response Model: A DoOR to the Complete Olfactome
This is a function package providing functions to perform data manipulations and visualizations for DoOR.data. See the URLs for the original and the DoOR 2.0 publication.
Authors:
DoOR.functions_2.0.2.tar.gz
DoOR.functions_2.0.2.zip(r-4.5)DoOR.functions_2.0.2.zip(r-4.4)DoOR.functions_2.0.2.zip(r-4.3)
DoOR.functions_2.0.2.tgz(r-4.4-any)DoOR.functions_2.0.2.tgz(r-4.3-any)
DoOR.functions_2.0.2.tar.gz(r-4.5-noble)DoOR.functions_2.0.2.tar.gz(r-4.4-noble)
DoOR.functions_2.0.2.tgz(r-4.4-emscripten)DoOR.functions_2.0.2.tgz(r-4.3-emscripten)
DoOR.functions.pdf |DoOR.functions.html✨
DoOR.functions/json (API)
NEWS
# Install 'DoOR.functions' in R: |
install.packages('DoOR.functions', repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ropensci/door.functions/issues
Pkgdown:https://docs.ropensci.org
Last updated 10 months agofrom:14728b933e (on master). Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 27 2024 |
R-4.5-win | NOTE | Nov 27 2024 |
R-4.5-linux | NOTE | Nov 27 2024 |
R-4.4-win | NOTE | Nov 27 2024 |
R-4.4-mac | NOTE | Nov 27 2024 |
R-4.3-win | NOTE | Nov 27 2024 |
R-4.3-mac | NOTE | Nov 27 2024 |
Exports:back_projectcalculate_modelcount_studiescountStudiescreate_door_databasedoor_default_valuesdoor_normdplot_across_osnsdplot_across_rudplot_al_mapdplot_compare_profilesdplot_response_matrixdplot_response_profiledplot_tuningCurveestimate_missing_valueexport_door_dataget_datasetget_normalized_responsesget_responsesidentify_sensillumimport_new_dataload2listmap_receptormodel_responsemodel_response_seqprivate_odorantproject_pointsremove_studyreset_sfrselect_modelsparsetrans_idupdate_door_databaseupdate_door_odorinfo
Dependencies:DoOR.data
DoOR analysis tools
Rendered fromDoOR_tools.Rmd
usingknitr::rmarkdown
on Nov 27 2024.Last update: 2022-02-14
Started: 2015-07-23
The Database of Odor Responses - DoOR functions package
Rendered fromDoOR.functions_main.Rmd
usingknitr::rmarkdown
on Nov 27 2024.Last update: 2022-02-14
Started: 2015-07-21
Visualizing DoOR
Rendered fromDoOR_visualizations.Rmd
usingknitr::rmarkdown
on Nov 27 2024.Last update: 2022-02-14
Started: 2015-07-21
Readme and manuals
Help Manual
Help page | Topics |
---|---|
back_project | back_project |
' select the best model function | calculate_model calModel |
count_studies | countStudies count_studies |
Compose a Response Matrix of All Odor Receptors | CreateDatabase create_door_database |
default values for DoOR functions | default.val door_default_values |
rescale the data values from 0 to 1 | DoORnorm door_norm |
DoOR Functions | DoOR.functions.package-package DoOR.function DoOR.functions DoOR.functions.package |
dplot_across_osns | dplot_acrossOSNs dplot_across_osns |
dplot_across_ru | dplot_acrossReceptors dplot_across_ru |
dplot_al_map | dplot_ALmap dplot_al_map |
Compare two response profiles | dplot_compareProfiles dplot_compare_profiles |
dplot_response_matrix | dplot_responseMatrix dplot_response_matrix |
dplot_response_profile | dplot_responseProfile dplot_response_profile |
dplot_tuningCurve | dplot_tuningCurve |
Estimate the missing entries in a response data | DoOREst estimate_missing_value |
export data | exportData export_door_data |
getDataset | getDataset get_dataset |
Find normalised receptor responses | getNormalizedResponses get_normalized_responses |
Find receptor responses | getResponses get_responses |
identify_sensillum | identifySensillum identify_sensillum |
Import new data into DoOR | importNewData import_new_data |
load2list | load2list |
map_receptor | mapReceptor map_receptor |
Generates a model response | modelRP model_response |
model_response_seq | modelRPSEQ model_response_seq |
private_odorant | privateOdorant private_odorant |
project_points | projectPoints project_points |
Remove a study from DoOR | removeStudy remove_study |
reset SFR | resetSFR reset_sfr |
compute the data pairwise and and selects a pair with the lowest "MD" value. | selectModel select_model |
Calculate the sparseness of a vector. | sparse |
trans_id | transID trans_id |
update response matrix | update_door_database |
update_door_odorinfo | updateOdorInfo update_door_odorinfo |