Change column width in ReportingTools
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Last seen 6.1 years ago


I would like to know, how to change the column width of the HTML table in ReportingTools. I tried to use the hwriter function, but this results in a complete layout change of the table:

rpt.df <- rpt.df[sub,] <- paste0("./006_reports/barplots/", imagename[sub])
rpt.df$Image <- hwriteImage( , link = , table = FALSE, width=100, height=100)
sprotID <- gsub("^.*[[:space:]]", "\\1", rpt.df$sprot_Top_BLASTX_hit)
rpt.df$Link <- hwrite(as.character(sprotID), link = paste("", as.character(sprotID), sep = ''), table=FALSE)
rpt.df <- hwrite(rpt.df, br=TRUE, col.width=c(gene_ontology_blast='150px')) # this step should change the width of the column
htmlRep <- HTMLReport(shortName = "rnaseq_ntab",
                        title = "RNA-seq analysis of tobacco leaves and trichomes 09/2015-1",
                        reportDirectory = "./006_reports")
publish(rpt.df, htmlRep)



R version 3.2.0 (2015-04-16)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu precise (12.04.5 LTS)

 [1] LC_CTYPE=de_DE.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8        LC_COLLATE=de_DE.UTF-8     LC_MONETARY=en_US.UTF-8    LC_MESSAGES=de_DE.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                  LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
 [1] grid      stats4    parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] hwriter_1.3.2        ReportingTools_2.8.0 knitr_1.11           cummeRbund_2.10.0    Gviz_1.12.1          rtracklayer_1.28.9   GenomicRanges_1.20.6
 [8] GenomeInfoDb_1.4.2   IRanges_2.2.7        S4Vectors_0.6.5      fastcluster_1.1.16   reshape2_1.4.1       ggplot2_1.0.1        BiocGenerics_0.14.0
[15] RSQLite_1.0.0        DBI_0.3.1           

loaded via a namespace (and not attached):
 [1] Biobase_2.28.0            edgeR_3.10.2              splines_3.2.0             R.utils_2.1.0             Formula_1.2-1             latticeExtra_0.6-26      
 [7] RBGL_1.44.0               BSgenome_1.36.3           Rsamtools_1.20.4          Category_2.34.2           lattice_0.20-33           biovizBase_1.16.0        
[13] limma_3.24.15             digest_0.6.8              RColorBrewer_1.1-2        XVector_0.8.0             colorspace_1.2-6          ggbio_1.16.1             
[19] R.oo_1.19.0               Matrix_1.2-2              plyr_1.8.3                OrganismDbi_1.10.0        GSEABase_1.30.2           DESeq2_1.8.1             
[25] XML_3.98-1.3              biomaRt_2.24.0            genefilter_1.50.0         zlibbioc_1.14.0           xtable_1.7-4              GO.db_3.1.2              
[31] scales_0.3.0              BiocParallel_1.2.20       annotate_1.46.1           PFAM.db_3.1.2             GenomicFeatures_1.20.3    nnet_7.3-11              
[37] proto_0.3-10              survival_2.38-3           magrittr_1.5              R.methodsS3_1.7.0         GGally_0.5.0              MASS_7.3-44              
[43] RcppArmadillo_0.5.400.2.0 foreign_0.8-66            GOstats_2.34.0            graph_1.46.0              tools_3.2.0               matrixStats_0.14.2       
[49] stringr_1.0.0             munsell_0.4.2             locfit_1.5-9.1            cluster_2.0.3             AnnotationDbi_1.30.1      lambda.r_1.1.7           
[55] Biostrings_2.36.4         futile.logger_1.4.1       RCurl_1.95-4.7            dichromat_2.0-0           VariantAnnotation_1.14.13 AnnotationForge_1.10.1   
[61] bitops_1.0-6              gtable_0.1.2              reshape_0.8.5             GenomicAlignments_1.4.1   gridExtra_2.0.0           Hmisc_3.16-0             
[67] futile.options_1.0.0      stringi_0.5-5             Rcpp_0.12.0               geneplotter_1.46.0        rpart_4.1-10              acepack_1.3-3.3         

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