plotLMCs | R Documentation |
A wrapper for various plotting methods for the visualization of LMCs
plotLMCs(MeDeComSet, type, K = NA, lambda = NA, cg_subset = 1, lmc = NA, Tref = NULL, distance = "correlation", center = FALSE, n.most.var = NA, D = NULL, sample.characteristic = NULL, scatter.matching = FALSE, scatter.smooth = TRUE, scatter.cg.feature = NULL, min.similarity = 0)
MeDeComSet |
an object with MeDeCom results |
type |
plot type, a |
K |
value of parameter k to use |
lambda |
value of parameter lambda to use |
cg_subset |
which CpG subset to use |
lmc |
which LMC to use for visualization |
Tref |
a matrix with reference methylomes |
distance |
distance measure to use |
center |
if |
n.most.var |
is not |
D |
input data matrix used to derive the LMCs |
min.similarity |
minimal similarity between LMCs and (if available) reference profiles, used to select edges in |
Available plot types include:
boxplot
Boxplot describing the distributions of each of the LMCs and, if available, the reference methylomss.
dendrogram
Dendrogram visualizing a joint hierarchical clustering of LMCs and, if available, the reference methylomes.
heatmap
Heatmap visualizing a distance between LMCs and the reference methylomes.
mds
Joint multidimensional scaling of LMCs and the reference methylomes.
scatterplot
Multi-panel scatterplot of LMCs and reference methylomes.
extremality
Barplot visualizing the value of the regularizer term for each LMC.
distance to center
Barplot visualizing a distance to the data center for each LMC. Input data matrix used to derive the LMCs should be
supplied as argument D
.
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