circomap: circular layout of more than one 'panlemaps'
In arorarshi/panelmap: Create panels for summarizing binary data, categorical data (more than 2 categories) and continuous data for known groups

Description Usage Arguments Details Value Author(s) References See Also Examples

circomap plots multiple cohorts having grouped data in the form of a panelmap laid out in a circular fashion. Each pie reflects the relative size of each cohort, and each track is a panelet summarizing a feature.

1 2	circomap(datasets,gtoplot,gcol,gheight,ftoplot,ftype,fcol,fheight, NA.flag="FALSE",NA.col="grey")

`datasets`	list. Arrange the datasets to plot in a list. Each dataset has samples as columns and features as rows. The row features should be uniform across datasets. See `example` below. The dataset is sorted according to the group variable and is included in the dataset.
`gtoplot`	character. Name of the group variable to plot.
`gcol`	vector. Color to be assigned to each group in group labels.
`gheight`	numeric. Height of the group label panelet track. Default is `0.10`
`ftoplot`	vector. Names of the features to plot. See `example`
`ftype`	vector. Type of data type to be plotted in `ftoplot`. `1 = discrete/binary`. `2 = continuous` .See example below and `makepanel`.
`fcol`	list. A list of color values to be coded. Names of the list are same as `ftoplot` see example below and `makepanel`.
`fheight`	numeric. Height of each of the panelet track.
`NA.flag`	logical. default is FALSE. If there are NAs in your categories set it as TRUE
`NA.col`	character. Default is "grey". Set the color for NAs

The radius of circomap is 1. Heights of gheight and fheight should be chosen accordingly.

returns a circomap

Arshi Arora

Gu, Z. circlize implements and enhances circular visualization in R. Bioinformatics 2014.

makepanel

#dataset 1
dat1 = mtcars[order(mtcars$cyl),]
#dataset 2
dat2 = mtcars[order(mtcars$cyl),]
#dataset 3
dat3 = mtcars[order(mtcars$cyl),]

#put all the datasets in a list
datasets<-list()
datasets[[1]]=dat1; datasets[[2]]=dat2; datasets[[3]]=dat3
names(datasets) = c("dat1", "dat2", "dat3")
#names of datasets will be used to labek the datasets

#group variable to plot same as panelet_group
gtoplot<-c("cyl")
gcol = c("red","blue","green")
gheight = 0.10 #track height of the group variable

#features to plot - same as in panelmap example
ftoplot<-c("mpg", "vs", "am", "gear")
ftype= c(2,1,1,1)
fcol=list(am=c("white","black"), vs=c("white","black"),
gear=c("yellow","orange","brown"), mpg=c("white", "darkred"))

fheight<-list(); fheight[1:length(ftoplot)] = 0.08
#Voila!!
circomap(datasets, gtoplot, gcol, gheight, ftoplot, ftype, fcol, fheight)