Description Usage Arguments Value Examples
Plot a distribution from a model
1 2 3 4 5 6 7 8 9 |
compendium |
A string - the selected compendium |
module |
A matrix with valid rownames (biofeatureNames) and colnames (samplesetsNames) |
normalization |
A string - either 'limma','tpm' or legacy as normalization |
type |
A string - either 'html' or 'json |
plot |
A logical - it return the graphics object |
plotType |
A string - see |
getRank |
A logical - if TRUE return the ranking |
Either a json, an html, a plotly htmlwidget or a data.frame with the ranking
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
gene_names <- c('VIT_00s0246g00220','VIT_00s0332g00060','VIT_00s0332g00110',
'VIT_00s0332g00160','VIT_00s0396g00010','VIT_00s0505g00030','VIT_00s0505g00060',
'VIT_00s0873g00020','VIT_00s0904g00010')
module_1 <- create_module(biofeaturesNames=gene_names, normalization = "legacy")
plot_module_distribution(module = module_1,
plotType = "biological_features_uncentered_correlation_distribution", plot = TRUE)
plot_module_distribution(module = module_1,
plotType = "sample_sets_magnitude_distribution", plot = TRUE)
plot_module_distribution(module = module_1,
plotType = "sample_sets_coexpression_distribution", plot = TRUE)
## End(Not run)
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