Which package is best for a heatmap/image with sorting on rows only, but don't show any dendrogram or other visual clutter (just a 2D colored grid with automatic named labels on both axes). I don't need fancy clustering beyond basic numeric sorting. The data is a 39x10 table of numerics in the range (0,0.21) which I want to visualize.
I searched SO (see this) and the R sites, and tried a few out. Check out R Graphical Manual to see an excellent searchable list of screenshots and corresponding packages.
The range of packages is confusing - which one is the preferred heatmap (like ggplot2 is for most other plotting)? Here is what I found out so far:
base::heatmap
is annoying, even with args heatmap(..., Colv=NA, keep.dendro=FALSE)
it still plots the unwanted dendrogram on rows.
For now I'm going with pheatmap(..., cluster_cols=FALSE, cluster_rows=FALSE)
and manually presorting my table, like this guy: Order of rows in heatmap?
Addendum: to display the value inside each cell, see: display a matrix, including the values, as a heatmap . I didn't need that but it's nice-to-have.
heatmap for a predetermined order of rows. Simply reorder the rows of your second matrix to match the first one, then use for example R's heatmap() function setting Rowv=FALSE to prevent it from automatically reordering the rows, alternatively, you could set Rowv to a vector defining the order.
Heat map dendrogramsSetting it to NA will remove the dendrogram. The Colv argument is the equivalent of Rowv but for columns. Set it to NA to remove the column dendrogram. Setting Rowv and Colv to NA will remove both dendrograms of the heat map and no reordering will be computed.
heatmap() function in R Language is used to plot a heatmap. Heatmap is defined as a graphical representation of data using colors to visualize the value of the matrix.
With pheatmap
you can use options treeheight_row
and treeheight_col
and set these to 0.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With