A data.frame containing the subset of y chromosome probe values for each sample. This is returned when running the massi_select function.
massi_cluster_data
This is the list returned from the massi_cluster function.
Details
The first figure is a heatmap depicting probe values for each sample. The second figure is a bar plot showing the mean probe expression and standard deviation for each sample. The bars are colored with respect to the predicted sex. The third figure is a principal component plot which represents the distances bewteen samples, with each cluster highlighted with elipses.
Value
Returns three plots in a new graphics device.
Author(s)
Sam Buckberry
References
Gregory R. Warnes, Ben Bolker, Lodewijk Bonebakker, Robert Gentleman, Wolfgang Huber Andy Liaw, Thomas Lumley, Martin
Maechler, Arni Magnusson, Steffen Moeller, Marc Schwartz and Bill Venables (2013). gplots: Various R programming tools for
plotting data. R package version 2.12.1. http://CRAN.R-project.org/package=gplots
See Also
massi_cluster, massi_select
Examples
# load the test dataset
data(massi.test.dataset, massi.test.probes)
# select the y chromosome probes using massi_select
massi_select_out <-
massi_select(massi.test.dataset, massi.test.probes)
# cluster samples to predict sex using massi_cluster
massi_cluster_out <-
massi_cluster(massi_select_out)
# produce plots using massi_cluster_plot
massi_cluster_plot(massi_select_out, massi_cluster_out)
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)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
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.
Type 'q()' to quit R.
> library(massiR)
Loading required package: cluster
Loading required package: gplots
Attaching package: 'gplots'
The following object is masked from 'package:stats':
lowess
Loading required package: diptest
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/massiR/massi_cluster_plot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: massi_cluster_plot
> ### Title: massi_cluster_plot
> ### Aliases: massi_cluster_plot
>
> ### ** Examples
>
>
> # load the test dataset
> data(massi.test.dataset, massi.test.probes)
>
> # select the y chromosome probes using massi_select
> massi_select_out <-
+ massi_select(massi.test.dataset, massi.test.probes)
>
> # cluster samples to predict sex using massi_cluster
> massi_cluster_out <-
+ massi_cluster(massi_select_out)
>
> # produce plots using massi_cluster_plot
> massi_cluster_plot(massi_select_out, massi_cluster_out)
Error in dev.new() : no suitable unused file name for pdf()
Calls: massi_cluster_plot -> dev.new
Execution halted