apl | Association Plot |
apl_coords | Calculate Association Plot coordinates |
apl_ggplot | Plot Association Plot with ggplot |
apl_plotly | Plot Association Plot with plotly |
apl_score | Find rows most highly associated with a condition |
apl_topGO | Run Gene overrepresentation analysis with topGO |
as.cacomp | Create cacomp object from Seurat/SingleCellExperiment container |
as.cacomp-method | Create cacomp object from Seurat/SingleCellExperiment container |
as.list-method | Convert cacomp object to list. |
cacomp | Correspondance Analysis |
cacomp-class | An S4 class that contains all elements needed for CA. |
cacomp-method | Correspondance Analysis |
cacomp_names | Prints slot names of cacomp object |
cacomp_slot | Access slots in a cacomp object |
ca_3Dplot | Plot of the first 3D CA projection of the data. |
ca_3Dplot-method | Plot of the first 3D CA projection of the data. |
ca_biplot | Plot of 2D CA projection of the data. |
ca_biplot-method | Plot of 2D CA projection of the data. |
ca_coords | Calculate correspondence analysis row and column coordinates. |
check_cacomp | Check if cacomp object was correctly created. |
comp_std_residuals | Compute Standardized Residuals |
elbow_method | Runs elbow method |
is.empty | Helper function to check if object is empty. |
new_cacomp | An S4 class that contains all elements needed for CA. |
pick_dims | Compute statistics to help choose the number of dimensions |
pick_dims-method | Compute statistics to help choose the number of dimensions |
plot_enrichment | Generates plot for results from apl_topGO |
recompute | Recompute missing values of cacomp object. |
rm_zeros | removes 0-only rows and columns in a matrix. |
runAPL | Compute and plot Association Plot |
runAPL-method | Compute and plot Association Plot |
run_APL | Internal function to compute and plot Association Plot |
run_cacomp | Internal function for 'cacomp' |
scree_plot | Scree Plot |
show-method | Prints cacomp object |
show.cacomp | Prints cacomp object |
subset_dims | Subset dimensions of a caobj |
var_rows | Find most variable rows |