Description Usage Arguments Examples
heatmap for set of cells and odours based on correlation distance
spike_cor_dist calculate the cross-correlation between
the spike responses of a set of cells. It is called by
heatmap_cor_dist but you may wish to use this data directly.
1 2 3 4  | heatmap_cor_dist(cells, odours, col = jet.colors(20), labRow = NULL,
  labCol = NULL, ColSideColors, RowSideColors, heatmapfun = heatmap, ...)
spike_cor_dist(cells, odours)
 | 
cells | 
 Character specifying cells to plot OR a data.frame containing information about those cells  | 
odours | 
 Character vector specifying odours to plot  | 
col | 
 Character vector of colour levels generated by a colour palette
function such as   | 
labRow | 
 character vectors with row and column labels to
use; these default to   | 
labCol | 
 character vectors with column labels to use; defaults to cells.  | 
ColSideColors | 
 (optional) character vector of length   | 
RowSideColors | 
 (optional) character vector of length   | 
heatmapfun | 
 Which heatmap function to use. There are many besides the
default   | 
... | 
 Additional parameters passed to   | 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21  | # Find LHNs with Anatomy.type 4 and ephys class 16,17,23 for which we have
# spiking response data
physplit.c161723=subset(PhySplitDB, cell%in% names(Spikes) &
  Anatomy.type==4 & class%in%c(16,17,23))
heatmap_cor_dist(physplit.c161723)
# repeat but with class information
heatmap_cor_dist(physplit.c161723, labRow=physplit.c161723$class,
  labCol=NA, RowSideColors=rainbow(3)[factor(physplit.c161723$class)])
# Same but set limit for the palette
heatmap_cor_dist(physplit.c161723, labRow=physplit.c161723$class,
  labCol=NA, RowSideColors=rainbow(3)[factor(physplit.c161723$class)],
  zlim=c(-1,1))
## use heatmap.2
## Not run: 
library(gplots)
heatmap_cor_dist(physplit.c161723, heatmapfun=heatmap.2)
## End(Not run)
 | 
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