Package: DoOR.functions 2.0.3.9000

Daniel Münch

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:Daniel Münch [aut, cre], C. Giovanni Galizia [aut], Shouwen Ma [aut], Martin Strauch [aut], Anja Nissler [aut], Wolf Huetteroth [ctb]

DoOR.functions_2.0.3.9000.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DoOR.functions/json (API)

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

Reviews:rOpenSci Software Review #34

Bug tracker:https://github.com/ropensci/door.functions/issues

Pkgdown/docs site:https://docs.ropensci.org

On CRAN:

Conda:

peer-reviewed

4.63 score 11 stars 64 scripts 33 exports 1 dependencies

Last updated from:df0e5e112f (on master). Checks:7 WARNING, 2 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING150
pkgdown docsERROR216
source / vignettesERROR207
linux-release-x86_64WARNING154
macos-release-arm64WARNING91
macos-oldrel-arm64WARNING124
windows-develWARNING91
windows-releaseWARNING100
windows-oldrelWARNING100
wasm-releaseOK122

Exports:back_projectcalculate_modelcount_studiescreate_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

Readme and manuals

Help Manual

Help pageTopics
back_projectback_project
' select the best model functioncalculate_model calModel
count_studiescountStudies count_studies
Compose a Response Matrix of All Odor ReceptorsCreateDatabase create_door_database
default values for DoOR functionsdefault.val door_default_values
rescale the data values from 0 to 1DoORnorm door_norm
DoOR FunctionsDoOR.functions-package DoOR.function DoOR.functions DoOR.functions.package
dplot_across_osnsdplot_acrossOSNs dplot_across_osns
dplot_across_rudplot_acrossReceptors dplot_across_ru
dplot_al_mapdplot_ALmap dplot_al_map
Compare two response profilesdplot_compareProfiles dplot_compare_profiles
dplot_response_matrixdplot_responseMatrix dplot_response_matrix
dplot_response_profiledplot_responseProfile dplot_response_profile
dplot_tuningCurvedplot_tuningCurve
Estimate the missing entries in a response dataDoOREst estimate_missing_value
export dataexport_door_data
getDatasetgetDataset get_dataset
Find normalised receptor responsesgetNormalizedResponses get_normalized_responses
Find receptor responsesgetResponses get_responses
identify_sensillumidentifySensillum identify_sensillum
Import new data into DoORimportNewData import_new_data
load2listload2list
map_receptormapReceptor map_receptor
Generates a model responsemodelRP model_response
model_response_seqmodelRPSEQ model_response_seq
private_odorantprivateOdorant private_odorant
project_pointsprojectPoints project_points
Remove a study from DoORremoveStudy remove_study
reset SFRresetSFR 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_idtransID trans_id
update response matrixupdate_door_database
update_door_odorinfoupdateOdorInfo update_door_odorinfo