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All functions

check_sedesign()
Check SEDesign object
choose_annotation_colnames()
Choose interesting annotation colnames from a data.frame
contrast2comp() comp2contrast() names_contrast2comp() names_comp2contrast()
Convert contrast to short-form comp, convert comp to contrast
contrast2comp_dev()
Convert contrast to short-form comp, convert comp to contrast (DEV)
contrast_colors_by_group()
Define contrast colors by group colors
contrast_names_to_sedesign()
Convert contrast names to sedesign object
contrasts_to_factors()
Convert SEDesign contrasts to data.frame of design factors
contrasts_to_venn_setlists()
Convert contrast names to Venn setlists for visual comparison
detect_heatmap_components()
Detect ComplexHeatmap Heatmap grid layout components
draw_oneway_contrast()
Draw one-way contrast using block arrows
draw_twoway_contrast()
Draw two one-way contrasts using block arrows, showing a two-way connector
ebayes2dfs()
Convert limma eBayes fit to data.frame with annotated hits
filter_contrast_names()
Filter contrast names
fold_to_log2fold()
Convert normal signed fold change to log2 fold change
format_hits()
Format list of hit vectors into summary counts
groups_to_sedesign()
Create SEDesign from experimental groups
handle_na_values()
Handle NA values in a numeric matrix
heatmap_column_group_labels()
Add Heatmap column group labels
heatmap_se()
Heatmap for SummarizedExperiment data
hit_array_to_list()
Quick conversion of hit_array to hit_list
intercalate()
Intercalate two or more vectors
list2im_opt()
Convert list to incidence matrix
log2fold_to_fold()
Convert log2 fold change to signed fold change
make_block_arrow_polygon()
Make block arrow polygon coordinates for line segments
make_se_test()
Make SummarizedExperiment test data
mark_stat_hits()
Mark statistical hits by threshold cutoffs
matrix_normalize()
Normalize a numeric data matrix
plot_sedesign()
Plot sedesign object contrasts
point_handedness()
Determine which side one point is to another, given a slope or angle
point_slope_intercept()
convert point-slope to axis intercept
process_sestats_to_hitim()
Process sestats input into a hit incidence matrix
run_limma_replicate()
Run limma contrasts with optional probe replicates
save_sestats()
Save SE contrast stats output
se_collapse_by_column()
Collapse SummarizedExperiment data by column
se_collapse_by_row()
Collapse SummarizedExperiment data by row
se_contrast_stats()
Compute contrast statistics on SummarizedExperiment data
se_detected_rows()
SummarizedExperiment heuristics to define detected rows
se_normalize()
Normalize SummarizedExperiment data
se_rbind()
Combine SummarizedExperiment objects by row
se_to_rowcoldata()
Get SE colData and rowData
sedesign_to_factors()
Convert SEDesign to data.frame of design factors
sestats_to_df()
Convert sestats to table summary
sestats_to_dfs()
Extract stats as data.frame from SEStats results
shortest_unique_abbreviation()
Find the shortest abbrevation to retain unique values
shrinkDataFrame()
Shrink data.frame by row groups
shrink_df()
Shrink data.frame by row groups
shrink_matrix()
Shrink a numeric matrix by groups of rows
sort_samples()
Sort biological sample labels for experimental design
stack_contrasts()
Stack a vector of contrasts into a full string
strsplitOrdered()
Split the elements of an ordered factor vector
sub_split_vector()
Sub-split a split vector (Internal)
update_function_params()
Update function default parameters
update_list_elements()
Update a subset of list elements
validate_sedesign()
Validate SEDesign object contents
voom_jam()
Limma-voom customized for Jam