Dear Bioconductor users,
I would like to plot heatmap with metagenomics dataset, I have 48
mouse samples that were distributed into 8 groups. I copied my dataset
as the same format to metagenomeSeq directory for importing the
dataset. Everything seems fine till I tried to plot heatmap. I copied
the scripts from the tutorial.
> data(mouseData)
> trials = pData(mouseData)$diet
> heatmapColColors = brewer.pal(12,
"Set3")[as.integer(factor(trials))]
> heatmapCols = colorRampPalette(brewer.pal(9, "RdBu"))(50)
> # plotMRheatmap
> plotMRheatmap(obj = mouseData, n = 200, cexRow = 0.4, cexCol = 0.4,
trace = "none", col = heatmapCols, ColSideColors = heatmapColColors)
When I looked at the heatmap, it is not my dataset, it is still from
the example dataset. When I checked on the scripts again, I didn't see
any script to help build mouseData with the new dataset. COuld you
instruct how I load my dataset into mouseData? or any other solutions?
Thanks a lot, I do appreciate it.
-- output of sessionInfo():
> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] parallel stats graphics grDevices utils datasets
methods base
other attached packages:
[1] metagenomeSeq_1.4.0 gplots_2.12.1 RColorBrewer_1.0-5
matrixStats_0.8.14 limma_3.18.13 Biobase_2.22.0
BiocGenerics_0.8.0
[8] BiocInstaller_1.12.0
loaded via a namespace (and not attached):
[1] bitops_1.0-6 caTools_1.16 gdata_2.13.2
gtools_3.3.1 KernSmooth_2.23-10 R.methodsS3_1.6.1 tools_3.0.2
>
--
Sent via the guest posting facility at bioconductor.org.
Hi there,
By calling *data(mouseData)* you are loading the pre-packaged dataset
included in the metagenomeSeq package.
There are instructions in the vignette on how to import data in
Section 2
"Data preparation". It is probably best to call the MRexperiment
object
something other than mouseData to ensure your environmental variables
aren't over-written by a load call.
The code to access the
vignette<http: www.bioconductor.org="" packages="" 2.14="" bioc="" vignettes="" meta="" genomeseq="" inst="" doc="" metagenomeseq.pdf="">
for
metagenomeSeq is:
vignette("metagenomeSeq")
Hope this helps,
Best wishes.
- Joseph Paulson
On Mon, Mar 10, 2014 at 3:00 PM, guest [guest]
<guest@bioconductor.org>wrote:
>
> Dear Bioconductor users,
>
> I would like to plot heatmap with metagenomics dataset, I have 48
mouse
> samples that were distributed into 8 groups. I copied my dataset as
the
> same format to metagenomeSeq directory for importing the dataset.
> Everything seems fine till I tried to plot heatmap. I copied the
scripts
> from the tutorial.
>
> > data(mouseData)
> > trials = pData(mouseData)$diet
> > heatmapColColors = brewer.pal(12,
"Set3")[as.integer(factor(trials))]
> > heatmapCols = colorRampPalette(brewer.pal(9, "RdBu"))(50)
> > # plotMRheatmap
> > plotMRheatmap(obj = mouseData, n = 200, cexRow = 0.4, cexCol =
0.4,
> trace = "none", col = heatmapCols, ColSideColors = heatmapColColors)
>
>
> When I looked at the heatmap, it is not my dataset, it is still from
the
> example dataset. When I checked on the scripts again, I didn't see
any
> script to help build mouseData with the new dataset. COuld you
instruct how
> I load my dataset into mouseData? or any other solutions?
>
> Thanks a lot, I do appreciate it.
>
>
> -- output of sessionInfo():
>
> > sessionInfo()
> R version 3.0.2 (2013-09-25)
> Platform: x86_64-apple-darwin10.8.0 (64-bit)
>
> locale:
> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
>
> attached base packages:
> [1] parallel stats graphics grDevices utils datasets
methods
> base
>
> other attached packages:
> [1] metagenomeSeq_1.4.0 gplots_2.12.1 RColorBrewer_1.0-5
> matrixStats_0.8.14 limma_3.18.13 Biobase_2.22.0
> BiocGenerics_0.8.0
> [8] BiocInstaller_1.12.0
>
> loaded via a namespace (and not attached):
> [1] bitops_1.0-6 caTools_1.16 gdata_2.13.2
gtools_3.3.1
> KernSmooth_2.23-10 R.methodsS3_1.6.1 tools_3.0.2
> >
>
> --
> Sent via the guest posting facility at bioconductor.org.
>
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