[BioC] restoring lattice-like format in flowViz?
David Ornelles [guest]
guest at bioconductor.org
Fri Jan 24 05:07:47 CET 2014
Is it possible to return the older "lattice" style graphics under the recent releases of FlowCore? After installing R 3.0.2 and what I could of the FlowCore packages on a new computer, I see that the default graphic output resembles something from ggplot2. (I know lattice well and ggplot not at all.) Frustratingly, this undermines much of the code I had developed to extract and further process images from various workflows. I'm afraid I am at loss of what to do short of rolling back to an earlier versions. Many thanks!
-- output of sessionInfo():
Broken session (new format):
> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] flowViz_1.26.15 lattice_0.20-24 flowCore_1.28.20
[4] MASS_7.3-29 BiocInstaller_1.12.0
loaded via a namespace (and not attached):
[1] Biobase_2.22.0 BiocGenerics_0.8.0 corpcor_1.6.6
[4] feature_1.2.10 graph_1.40.1 grid_3.0.2
[7] hexbin_1.26.3 IDPmisc_1.1.17 KernSmooth_2.23-10
[10] ks_1.8.13 latticeExtra_0.6-26 mvtnorm_0.9-9997
[13] parallel_3.0.2 pcaPP_1.9-49 RColorBrewer_1.0-5
[16] robustbase_0.9-10 rrcov_1.3-4 stats4_3.0.2
[19] tools_3.0.2
Good session (old format):
R version 2.14.2 (2012-02-29)
Platform: x86_64-pc-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] splines stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] flowViz_1.18.0 lattice_0.20-0 flowStats_1.12.0
[4] cluster_1.14.2 mvoutlier_1.9.4 robCompositions_1.5.0
[7] car_2.0-12 nnet_7.3-1 compositions_1.10-2
[10] energy_1.4-0 boot_1.3-4 tensorA_0.36
[13] rgl_0.92.798 fda_2.2.7 zoo_1.7-7
[16] flowCore_1.20.0 rrcov_1.3-01 pcaPP_1.9-45
[19] mvtnorm_0.9-9992 robustbase_0.8-1-1 Biobase_2.14.0
[22] MASS_7.3-17
loaded via a namespace (and not attached):
[1] feature_1.2.8 graph_1.32.0 grid_2.14.2
[4] KernSmooth_2.23-7 ks_1.8.6 latticeExtra_0.6-19
[7] RColorBrewer_1.0-5 stats4_2.14.2 tools_2.14.2
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