slingshot_conditions {condiments} | R Documentation |
Based on an original slingshot object, refit one trajectory per condition, using the same skeleton.
slingshot_conditions(sds, ...) ## S4 method for signature 'SlingshotDataSet' slingshot_conditions( sds, conditions, approx_points = 100, adjust_skeleton = TRUE, ... ) ## S4 method for signature 'SingleCellExperiment' slingshot_conditions( sds, conditions, approx_points = 100, adjust_skeleton = TRUE, ... ) ## S4 method for signature 'PseudotimeOrdering' slingshot_conditions( sds, conditions, approx_points = 100, adjust_skeleton = TRUE, ... )
sds |
A slingshot object already run on the full dataset. Can be either a
|
... |
Other arguments passed to |
conditions |
Either the vector of conditions, or a character indicating which column of the metadata contains this vector. |
approx_points |
Passed to |
adjust_skeleton |
Boolean, default to 'TRUE'. Whether to recompute the locations of the nodes after fitting per conditions. |
A list of SlingshotDataSet
, one per condition.
data('slingshotExample', package = "slingshot") rd <- slingshotExample$rd cl <- slingshotExample$cl condition <- factor(rep(c('A','B'), length.out = nrow(rd))) condition[110:139] <- 'A' sds <- slingshot::slingshot(rd, cl) sdss <- slingshot_conditions(sds, condition)