Rory, thanks so much for getting back to me. Please forgive my ignorance on this, I am new to using these tools.
Certainly, I use the following calls to generate the dba objects:
ATAC <- dba(sampleSheet="NeurosphereATAC_TSSintersect_samplesheet_mod1.txt", peakFormat = "narrow")
ATAC_count<-dba.count(ATAC)
ATAC_contrast<-dba.contrast(ATAC_count, categories = DBA_TISSUE, minMembers = 2)
ATAC_analyze<-dba.analyze(ATAC_contrast)
ATAC_report<-dba.report(ATAC_analyze, contrast = 3)
When I print "ATAC_analyze" I get this:
6 Samples, 18179 sites in matrix:
ID Tissue Replicate Caller Intervals FRiP
1 50000cells NSC 1 counts 18179 0.06
2 625cells NSC 2 counts 18179 0.03
3 Muscle1 Muscle 1 counts 18179 0.10
4 Muscle2 Muscle 2 counts 18179 0.08
5 HelpT1 HelperT 1 counts 18179 0.25
6 HelpT2 HelperT 2 counts 18179 0.10
6 Contrasts:
Group1 Members1 Group2 Members2 DB.edgeR
1 NSC 2 Muscle 2 11580
2 NSC 2 HelperT 2 8960
3 NSC 2 !NSC 4 2265
4 Muscle 2 HelperT 2 10013
5 Muscle 2 !Muscle 4 1580
6 HelperT 2 !HelperT 4 6272
I want to look at the third contrast so I called the third contrast for dba.report. When I print ATAC_report I get this:
GRanges with 2265 ranges and 6 metadata columns:
seqnames ranges strand | Conc Conc_NSC Conc_.NSC Fold p.value FDR
<Rle> <IRanges> <Rle> | <numeric> <numeric> <numeric> <numeric> <numeric> <numeric>
11245 chr4 [22415513, 22416108] * | 7.55136037763646 9.10122857073246 2.75742577311184 6.34380279762062 1.48869725165757e-17 2.7063027337883e-13
5589 chr15 [44538034, 44538282] * | 6.45245996804235 8.00958843826776 1.3277550985802 6.68183333968755 6.62357308376236e-17 6.0204967544858e-13
10437 chr3 [54719809, 54720072] * | 5.99001680676936 7.55623111284682 0.299744477065765 7.25648663578105 7.31286120757036e-16 4.43135012974738e-12
13795 chr6 [82351610, 82352424] * | 6.90291058153769 8.45032465044132 2.20526967837527 6.24505497206605 4.83078008298791e-15 2.19546877821593e-11
14979 chr7 [70589167, 70589657] * | 5.75408953481454 7.30864698940696 0.755564427600979 6.55308256180598 6.47125730053609e-15 2.35281972932891e-11
... ... ... ... ... ... ... ... ... ... ...
214 chr1 [ 57435100, 57435266] * | 3.97841979098216 5.0616971238251 2.79588924967147 2.26580787415363 0.0124395641100217 0.0999508661791857
1092 chr10 [ 8605868, 8606347] * | 6.89697266153719 8.11047070405685 5.34271563340228 2.76775507065458 0.0124408020917137 0.0999508661791857
13968 chr6 [ 98978292, 98979030] * | 5.57193225775836 6.46860964206819 4.75872023161371 1.70988941045448 0.0124439359707428 0.0999508661791857
946 chr1 [182260440, 182260606] * | 6.58441639964778 4.86484450245853 7.01543016530217 -2.15058566284363 0.0124478112673787 0.0999508661791857
16565 chr8 [124103011, 124103330] * | 7.4107899639179 5.85136405293126 7.82260337134972 -1.97123931841846 0.0124584917830042 0.0999924600985577
---
seqlengths:
chr4 chr15 chr3 chr6 chr7 chr9 chr1 chr10 chr8 chr11 chr18 chr5 chr14 chr2 chr13 chrX chr17 chr12 chr16 chr19
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
This is the correct contrast, but then when I go to call the plotting functions such as:
dba.plotMA(ATAC_report)
That is when I get the error.
Here is the sessionInfo() call:
R version 3.1.1 (2014-07-10)
Platform: x86_64-apple-darwin13.1.0 (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] grid parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] proto_0.3-10 directlabels_2013.6.15 quadprog_1.5-5 lattice_0.20-29 ggbiplot_0.55 scales_0.2.4 plyr_1.8.1 devtools_1.6
[9] cummeRbund_2.6.1 Gviz_1.8.4 rtracklayer_1.24.2 fastcluster_1.1.13 reshape2_1.4 ggplot2_1.0.0 RSQLite_0.11.4 DBI_0.3.1
[17] RColorBrewer_1.0-5 fields_7.1 maps_2.3-9 spam_1.0-1 pheatmap_0.7.7 DiffBind_1.10.2 GenomicAlignments_1.0.6 BSgenome_1.32.0
[25] Rsamtools_1.16.1 Biostrings_2.32.1 XVector_0.4.0 limma_3.20.9 GenomicRanges_1.16.4 GenomeInfoDb_1.0.2 IRanges_1.22.10 BiocGenerics_0.10.0
[33] BiocInstaller_1.14.2
loaded via a namespace (and not attached):
[1] acepack_1.3-3.3 amap_0.8-12 AnnotationDbi_1.26.1 base64enc_0.1-2 BatchJobs_1.4 BBmisc_1.7 Biobase_2.24.0 BiocParallel_0.6.1
[9] biomaRt_2.20.0 biovizBase_1.12.3 bitops_1.0-6 brew_1.0-6 caTools_1.17.1 checkmate_1.4 cluster_1.15.3 codetools_0.2-9
[17] colorspace_1.2-4 dichromat_2.0-0 digest_0.6.4 edgeR_3.6.8 fail_1.2 foreach_1.4.2 foreign_0.8-61 Formula_1.1-2
[25] gdata_2.13.3 GenomicFeatures_1.16.3 gplots_2.14.2 gtable_0.1.2 gtools_3.4.1 Hmisc_3.14-5 iterators_1.0.7 KernSmooth_2.23-13
[33] labeling_0.3 latticeExtra_0.6-26 MASS_7.3-35 matrixStats_0.10.0 munsell_0.4.2 nnet_7.3-8 R.methodsS3_1.6.1 Rcpp_0.11.3
[41] RCurl_1.95-4.3 rpart_4.1-8 sendmailR_1.2-1 splines_3.1.1 stats4_3.1.1 stringr_0.6.2 survival_2.37-7 tools_3.1.1
[49] VariantAnnotation_1.10.5 XML_3.98-1.1 zlibbioc_1.10.0
Thanks so much for your help!