Description Usage Arguments Value See Also
Plot a sub heatmap based on results from t-tests/ANOVA, VIP or Random Forest analysis.
Uses pheatmap
function.
Heatmap provides intuitive visualization of the data table.
Each colored cell on the map corresponds to a concentration value in your data table,
with samples in rows and features/compounds in columns.
You can use heatmap to identify samples/features that are unusually high/low.
Tip 1: Do not re-organize samples/rows to show the natural contrast among groups (with each group a block).
Tip 2: Display top number of features ranked by t-tests to retain the most constrasting patterns.
1 2 3 4 |
dataSet |
List, data set object generated by |
analSet |
List, containing the results of statistical analysis (can be just an empty list). |
imgName |
Image file name prefix. |
format |
Image format, one of: "png", "tiff", "pdf", "ps", "svg" |
dpi |
Image resolution. |
width |
Image width. |
smplDist |
The distance measure, one of |
clstDist |
The agglomeration method to be used, one of "ward.D", "ward.D2", "single", "complete", "average".
For details: |
colors |
The color contrast. One of |
method.nm |
Type of analysis applied to detect features with the best contrast. One of |
top.num |
The number of the features with the best contrast to be plotted. |
viewOpt |
View mode, |
rowV |
If |
colV |
If |
border |
If |
Native analSet
with one added $htmap
element containing:
$htmap$dist.par
- equal smplDist
argument value
$htmap$clust.par
- equal clstDist
argument value
pheatmap
for used statistical function
PlotHeatMap2
for two-factored data
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