Man pages for theMILOlab/cypro
A Toolbox for Analysis of Single Cell Microscopy Data

addClusterVariablesAdd discrete/categorical variables that group the cells
add_familydummy
add_helperAdd helping text
addHierarchicalClusterVariablesAdd hierarchical clustering results to overall data
addKmeansClusterVariablesAdd kmeans clustering results to overall data
addPamClusterVariablesAdd PAM clustering results to overall data
addStatVariablesAdd numeric variables
add_vardenotation_to_cypro_object_shinyAdds variable denotation from pdl to object
addVariableSetAdd predefined set of variables
adjustableDefaultInstructionsValid default arguments
adjustDefaultInstructionsAdjust object based default
adjust_well_roi_vecFunction to make well roi vectors compatible with cypros...
adjust_well_vecFunction to make well vectors compatible with cypros...
agglomerateHierarchicalClusterAgglomerate hierarchical cluster
allColorpalettesValid colorpanels & -spectra
animateAllTracksAnimate all tracks
animateWellImageAnimate cellular movement
argument_dummyargument_dummy
assemble_additional_data_variables_module_info_shinyTitle
assemble_analysis_module_info_shinyTitle
assemble_id_module_info_shinyTitle
assemble_tracks_one_time_imaging_shinyIntegrate cell stat tables
assemble_tracks_time_lapse_shinyIntegrate cell track tables
assign_defaultAssigns default to parent function
check_availabilityCheck content availability
check_df_variablesDetect missing variables
check_nrowDetect poorly added variables
check_objectCheck object input
check_phaseCheck phase input
check_phase_manuallyCheck that phase is specified manually
checkpointShiny feedback messages
check_renamed_variablesDetect protected variables
check_set_up_progressTitle
check_summarize_withInput check of summarize_with
check_track_dfCheck track data.frame
check_wp_df_shinyCheck well plate data.frame (shiny)
check_wp_directoriesDetect double directories
check_wp_nameCheck well plate name
cluster_df_descrcluster_df
complete_tracksCompletes track data.frame:
compute_cell_statsSummarize tracking data
compute_distanceCompute the distance between to points
computeDistanceMatricesCompute distance matrices
compute_distances_from_originCompute the distances from origin
computeKmeansClusterCompute cluster with kmeans
compute_migration_efficiencyCalculate migration efficiency
compute_module_variablesCompute module based variables
compute_n_missing_valuesCompute n missing values
computePamClusterCompute cluster with partitioning around medoids (PAM)
correlateAllCompute correlation between variables
css_statusReturn css status
designExperimentObject initiation: Step 1
detectBatchEffectsDetect batch effects
detectOutliersDetect outlier cells
detect_outliers_iqrOutlier detection functions
dim_red_dfdim_red_df
discardClusterVariablesDiscard unwanted variables from your data
discardDistanceMatrixDiscard calculated distance matrix
discardStatVariablesDiscard unwanted variables from your data
evaluate_file_availability_shinyEvaluate the availability of files
example_selectedTitle
existOutlierResultsLogical Tests
filterTracksFilter track data.frame
getBatchEffectDfObtain batch effect computation results
getCellIdsGet cell ids
getCellLinesObtain cell line and condition names
getCorrConvObtain cypros correlation objects
getDataObtain data slots
getDataFrameObtain data.frame
get_dim_red_objTitle
getGroupingDfObtain grouping information
getGroupingOptionsObtain names of variables that group the cells
getGroupingVariableNamesObtain grouping variable names of cell data
getGroupNamesObtain group names a grouping variable contains
getHclustConvObtain cypros clustering objects
getHclustObjObtain the original clustering objects
getMissingValuesDfObtain missing value counts
getOutlierResultsObtain outlier detection results
getOutlierWellsObtain possible outlier wells
getPcaConvObtain dimensional reduction objects
getSetUpDfObtain well plate set up
getStatsDfObtain stat data.frame
getStatVariableNamesObtain numeric variables of cell data
getStorageDirectoryObtain storage directory
getTracksDfObtain track data.frame.
getVariableDfObtain variable centered summaries
getVariableSetObtain defined sets of variables
getVariableValuesObtain variable overview
getWellPlateNamesObtain well plate names
ggplot_familyTitle
ggplot_returnggplot_return
ggpubr_comparison_listPrepare input for 'ggpubr::stat_compare_means()'
hlpr_add_data_to_cluster_objectAdds data to cluster object
hlpr_add_variable_specific_argsComplete argument list in compute_module_variables
hlpr_add_vset_suffixAdd variable set suffix
hlpr_assemble_dfJoins cell data with well plate meta data
hlpr_assemble_directoryAssemble a directory
hlpr_caption_add_onClarifying caption
hlpr_coords_flip_add_onggplot2 add on helpers
hlpr_create_meta_dataCreate Cell Meta Data
hlpr_create_track_listProcess Track Data.frame
hlpr_glue_phaseAdjust phase input for feedback messages
hlpr_keep_messagesSelects or discards messages from lists within purrr::keep()
hlpr_merge_conditionsMerge conditions
hlpr_module_name_pairsReturns a vector of names in example named by the actual...
hlpr_order_inputWork around
hlpr_phase_vertical_lineAdd vertical phase separating line to lineplot
hlpr_pretty_colnamesMake pretty column names
hlpr_process_tracksProcessing helper
hlpr_rename_df_colsRename cell tracker columns
hlpr_select_statsWhere do I need this?
hlpr_split_subsetSplit subset input
hlpr_subset_acrossSubset the across-variables
hlpr_wp_directoriesReturn directory of well plate
hsHorizontal Separation (width = 3)
initiateCorrelationSet up correlation with cypro
initiateEmptyCyproObjectInitiate empty cypro object
initiateHierarchicalClusteringSet up clustering objects with cypro
input_dfinput_df
is_modified_wp_dfWell plate data.frame check
labelsXrotateManipulate labels of ggplot output
legendBottomSpecify legend position of ggplot output
loadDataFileObject initiation: Step 2
load_data_files_shinyRead in cell track data
loading_status_table_shinyDisplay loading status
moduleExperimentDesignServerServer logic: Experiment Design
moduleExperimentDesignUIUI logic: Experiment Set Up
moduleLoadDataFileServerServer logic: Load Data
moduleLoadDataFileUIUI logic: Load Data
moduleLoadDataServerServer logic: Load Data
moduleLoadDataUIUI logic: Load Data
moduleQualityCheckServerServer logic: Quality Check
moduleQualityCheckUIUI logic: Quality Check
mutateClusterDfCreate and modify data variables
mutateTracksDfCreate and modify data variables
nCellsNumber of miscellaneous content
nFilesNumber of files read in
nMissingValuesStatsNumber of NAs by cell id (in stats)
nMissingValuesTracksNumber of NAs by cell id (in tracks)
normalizeZscoreNormalize data with zscore
plotAllTracksPlot scaled cell migration
plotAvgSilhouetteWidthsPlot pam cluster quality
plotBarchartPlot distribution of discrete variables
plotBatchHeatmapVisualize possible batch effects
plotBoxplotPlot numeric distribution and statistical tests
plotCellCountPlot cell count
plotCorrelationSDPlot correlation variance across groups
plotCorrplotPlot a correlation plot
plotDendrogramVisualize hierarchical clustering
plot_dim_redTitle
plotDimRedPlot dimensional reduction
plotDistributionPlot descriptive statistics
plotDistributionDiscreteDistribution of discrete features
plotHeatmapPlot numeric variables in a heatmap
plotPamMedoidsPlot medoid results
plotPcaPlot dimensional reduction results
plot_qc_barplot_shinyQuality check barplot
plot_qc_histogram_shinyQuality check histogram
plotScatterplotPlot a scatterplot
plotScreeplotPlot a scree plot
plotSingleTracksPlot single cell migration
plotStatisticsInteractivePlot statistics related plots interactively
plotTimeHeatmapVisualize changes of cell characteristics over time
plotTimeLineplotVisualize changes of cell characteristics over time
plotVelocityLineplotPlot cell activity over time
plotWellPlatePlot the well plate set up
plot_well_plate_shinyVisualize the well plate
printSubsetHistoryPrint subset information
printSummaryPrint object summary
processDataObject initiation: Step 3
protectedVariablesProtected variables
quality_check_summary_shinySummarize tracking quality
read_data_files_shinyReads cell track data
read_example_file_shinyRead example file
read_table_shinywrapper around several table reading functions
removeOutliersRemove outliers from object
renameClusterDfRename cluster variables
renameGroupsRename groups
renameMetaDfRename meta variables
renameStatsDfRename statistic variables
renameTracksDfRename track variables
run_dim_redTitle
runPcaCompute dimensional reductions
saveCyproObjectSave cypro object
setCellDfSet cell data.frame
setClusterConvSet analysis objects
setDefaultInstructionsSet cypro default
setGroupingDfSet data data.frames
setStorageDirectorySet default storage directory
set_up_vdataComputes variable summaries
setUpWellPlateDfCreate data.frame representing a well plate
shiny_fdbShow shiny - notifications
starts_withImported selection helpers from package 'tidyselect'
subsetByCellIdCreate data subset by cell ids
subsetByCellLineCreate data subset by cell lines
subsetByClusterCreate data subset by cluster
subsetByConditionCreate data subset by conditions
subsetByFilterCreate data subset by specified requirements
subsetByNumberCreate data subset by reducing the number of cells
subsetByQualityCreate data subset according to coverage quality
summarizeTrackDfWithSummarize time lapse data variables
update_conditionTitle
updateCyproObjectKeep cypro object up to data
updated_objectdummy
used_variable_names_shinyTitle
validAgglomerationMethodsValid input options
validate_additional_variables_shinyTitle
validate_analysis_module_variables_shinyTitle
validate_identifier_variables_shinyTitle
valid_example_colsTitle
variables_numTitle
theMILOlab/cypro documentation built on April 5, 2022, 2:03 a.m.