ggbio tracks not aligned when legend present in one track
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Entering edit mode
Janet Young ▴ 740
@janet-young-2360
Last seen 4.5 years ago
Fred Hutchinson Cancer Research Center,…

hi all,

I'm exploring ggplot and ggbio - looks like it'll be really useful. But I'm having trouble getting my plots to align on the x axis if one of them has a legend. Is there a way to do make the plots align? or did I accidentally find a bug?

My real example uses the ggbio::plotGrandLinear to make three plots and then uses ggbio::tracks to display them together. But here's a simpler toy example using regular ggplots and ggbio::tracks (based on the first ?tracks example). If you look at this plot, the middle panel that has the legend is not aligned with the others (it's squashed a bit on the x axis). The plot: https://ibb.co/P1ZYn1L

I've had good luck for other multi-panel plots using ggarrange, but that doesn't seem to accept GGbio objects.

thanks for any help,

Janet

library(ggbio)

## make a simulated time series data set
df1 <- data.frame(time = 1:100, score = sin((1:100)/20)*10)
p1 <- qplot(data = df1, x = time, y = score, geom = "line")

df2 <- data.frame(time = 30:120, score = sin((30:120)/20)*10, value = rnorm(120-30 + 1))
p2 <- ggplot(data = df2, aes(x = time, y = score)) + 
  geom_line() + geom_point(size = 4, aes(color = value))

p3 <- p2 + theme(legend.position = "none")

## binding
tracks(p1, p2, p3)

sessionInfo()

R version 3.6.1 (2019-07-05)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS Mojave 10.14.6

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib

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] ggbio_1.34.0        ggplot2_3.2.1       BiocGenerics_0.32.0

loaded via a namespace (and not attached):
  [1] ProtGenerics_1.18.0         bitops_1.0-6                matrixStats_0.55.0         
  [4] bit64_0.9-7                 RColorBrewer_1.1-2          progress_1.2.2             
  [7] httr_1.4.1                  GenomeInfoDb_1.22.0         tools_3.6.1                
 [10] backports_1.1.5             R6_2.4.1                    rpart_4.1-15               
 [13] Hmisc_4.3-0                 DBI_1.0.0                   lazyeval_0.2.2             
 [16] colorspace_1.4-1            nnet_7.3-12                 withr_2.1.2                
 [19] tidyselect_0.2.5            gridExtra_2.3               prettyunits_1.0.2          
 [22] GGally_1.4.0                bit_1.1-14                  curl_4.2                   
 [25] compiler_3.6.1              graph_1.64.0                Biobase_2.46.0             
 [28] htmlTable_1.13.2            DelayedArray_0.12.0         labeling_0.3               
 [31] rtracklayer_1.46.0          scales_1.1.0                checkmate_1.9.4            
 [34] RBGL_1.62.1                 askpass_1.1                 rappdirs_0.3.1             
 [37] stringr_1.4.0               digest_0.6.23               Rsamtools_2.2.1            
 [40] foreign_0.8-72              XVector_0.26.0              base64enc_0.1-3            
 [43] dichromat_2.0-0             pkgconfig_2.0.3             htmltools_0.4.0            
 [46] ensembldb_2.10.2            dbplyr_1.4.2                BSgenome_1.54.0            
 [49] htmlwidgets_1.5.1           rlang_0.4.2                 rstudioapi_0.10            
 [52] RSQLite_2.1.2               farver_2.0.1                BiocParallel_1.20.0        
 [55] acepack_1.4.1               dplyr_0.8.3                 VariantAnnotation_1.32.0   
 [58] RCurl_1.95-4.12             magrittr_1.5                GenomeInfoDbData_1.2.2     
 [61] Formula_1.2-3               Matrix_1.2-18               Rcpp_1.0.3                 
 [64] munsell_0.5.0               S4Vectors_0.24.0            lifecycle_0.1.0            
 [67] stringi_1.4.3               SummarizedExperiment_1.16.0 zlibbioc_1.32.0            
 [70] plyr_1.8.4                  BiocFileCache_1.10.2        grid_3.6.1                 
 [73] blob_1.2.0                  crayon_1.3.4                lattice_0.20-38            
 [76] Biostrings_2.54.0           splines_3.6.1               GenomicFeatures_1.38.0     
 [79] hms_0.5.2                   zeallot_0.1.0               knitr_1.26                 
 [82] pillar_1.4.2                GenomicRanges_1.38.0        reshape2_1.4.3             
 [85] biomaRt_2.42.0              stats4_3.6.1                XML_3.98-1.20              
 [88] glue_1.3.1                  biovizBase_1.34.0           latticeExtra_0.6-28        
 [91] BiocManager_1.30.10         data.table_1.12.6           vctrs_0.2.0                
 [94] gtable_0.3.0                openssl_1.4.1               purrr_0.3.3                
 [97] reshape_0.8.8               assertthat_0.2.1            xfun_0.11                  
[100] AnnotationFilter_1.10.0     survival_3.1-7              OrganismDbi_1.28.0         
[103] tibble_2.1.3                GenomicAlignments_1.22.1    AnnotationDbi_1.48.0       
[106] memoise_1.1.0               IRanges_2.20.1              cluster_2.1.0
ggbio • 819 views
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Entering edit mode
@michael-lawrence-3846
Last seen 2.4 years ago
United States

Thanks for the report. The original author of ggbio abandoned the project many years ago. At this point, I can make minor fixes but this is probably going beyond that.

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Entering edit mode

Thanks Michael - I couldn't quite tell how mature ggbio is. The vignette examples look nice, but I've been finding it a bit challenging to get it to look good with my data. I'm now trying to decide whether to stick to ggbio, or convert to dataframes and use regular ggplots: any thoughts?

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