tmodTagcloud {tmod} | R Documentation |
Tag cloud based on tmod results
Description
Plot a tag (word) cloud based on results from tmod enrichment.
Usage
tmodTagcloud(
results,
filter = TRUE,
simplify = TRUE,
tag.col = "Title",
min.auc = 0.5,
max.qval = 0.05,
plot = TRUE,
weights.col = "auto",
pval.col = "P.Value",
maxn = NULL,
...
)
Arguments
results |
data frame produced by one of the tmod enrichment tests |
filter |
Whether redundant and not annotated modules should be removed |
simplify |
Whether module names should be simplified |
tag.col |
Which column from results should be used as tags on the plot |
min.auc |
Minimal AUC to show (default: 0.5) |
max.qval |
Maximal adjusted p value to show (default: 0.05) |
plot |
Should the tag cloud be plotted or only returned |
weights.col |
Which column from results should be used as weights for the tag cloud |
pval.col |
Which column contains the P values which will be used to shade the tags |
maxn |
Maximum number of gene set enrichment terms shown on the plot (if NULL – default – all terms will be shown) |
... |
Any further parameters are passed to the tagcloud function |
Details
The tags will be generated based on results from tmod or any other suitable data frame. The data frame must contain two numeric columns, specified with "weights.col" and "pval.col", which will be used to calculate the size and shade of the tags, respectively. Furthermore, it has to contain a column with tags (parameter "tag.col", by default "Title").
Any data frame can be used as long as it contains the specified columns.
Value
Either NULL or whatever tagcloud returns
Examples
data(tmod)
fg <- getModuleMembers("LI.M127")[[1]]
bg <- tmod$gv
result <- tmodHGtest( fg, bg )
tmodTagcloud(result)