The main function is DiffusionMap, which returns an object you can plot (plot.DiffusionMap is then called).
Details
The sigma parameter for DiffusionMap can be determined using find.sigmas if your dataset is small enough.
Examples
demo(destiny, ask = FALSE)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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> library(destiny)
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/destiny/destiny.Rd_%03d_medium.png", width=480, height=480)
> ### Name: destiny
> ### Title: Create and plot diffusion maps
> ### Aliases: destiny destiny-package
>
> ### ** Examples
>
> demo(destiny, ask = FALSE)
demo(destiny)
---- ~~~~~~~
> library(destiny)
> library(RColorBrewer)
> data(guo)
> palette(brewer.pal(8L, 'Dark2'))
> sigmas <- find.sigmas(guo, censor.val = 15, censor.range = c(15, 40),
+ verbose = FALSE)
> par(lwd = 3)
> plot(sigmas,
+ col = palette()[[1]],
+ highlight.col = palette()[[4]],
+ line.col = palette()[[6]],
+ rect.options = list(border = 'white'))
> diff.guo <- DiffusionMap(guo, 11, censor.val = 15, censor.range = c(15, 40),
+ verbose = FALSE)
> plot(diff.guo,
+ col = guo$num.cells, pch = 20)
> #library(rgl)
> #plot3d(eigenvectors(diff.guo)[, 1:3], col = guo$num.cells)
There were 15 warnings (use warnings() to see them)
>
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>
> dev.off()
null device
1
>