Hello Biostar,

I wish to change the colors of a row annotation on a heatmap. I use *ComplexHeatmap* and would like to use *RColorBrewer* for colors which will map a vector with continuous values. I have difficulties to create a list of colors and and to have it map the rows of my mat on the heatmap. 

A quick example would be much appreciated.

Best,

Franc

----------

**EDIT :**

**Example code:**

    set.seed(123)
    mat <- data.frame(matrix(rnorm(100), 10), row.names = sample(letters, 10, replace = F))
    base <- matrix(abs(rnorm(10,mean=10)), ncol = 1)
    rownames(base) <- rownames(mat)
    row_annot <- data.frame(Expression = log2(base))
    Var <- setNames(hcl.colors(nrow(row_annot),"Heat"), rownames(mat))
    row_ha <- HeatmapAnnotation(df = row_annot,
                                col = list(Expression = Var),
                                which = "row",
                                show_annotation_name = F,
                                annotation_name_side = "top",
                                annotation_legend_param = list()
    )
    scaled_mat <- t(scale(t(mat), center = T))
    Heatmap(scaled_mat, name = "mat", right_annotation = row_ha)

**sessionInfo()**

    R version 3.6.1 (2019-07-05)
    Platform: x86_64-apple-darwin15.6.0 (64-bit)
    Running under: macOS High Sierra 10.13.6
    
    attached base packages:
     [1] grid      parallel  stats4    stats     graphics  grDevices utils     datasets  methods  
    [10] base     
    
    other attached packages:
     [1] GOSemSim_2.10.0             dplyr_0.8.3                 ComplexHeatmap_2.0.0       
     [4] viridis_0.5.1               viridisLite_0.3.0           PANTHER.db_1.0.4           
     [7] RSQLite_2.1.2               stringr_1.4.0               colorRamps_2.3             
    [10] VennDiagram_1.6.20          futile.logger_1.4.3         clusterProfiler_3.12.0     
    [13] reactome.db_1.68.0          org.Mm.eg.db_3.8.2          ggrepel_0.8.1              
    [16] data.table_1.12.2           gageData_2.22.0             pathview_1.24.0            
    [19] org.Hs.eg.db_3.8.2          AnnotationDbi_1.46.1        gage_2.34.0                
    [22] biomaRt_2.40.4              ggplot2_3.2.1               pheatmap_1.0.12            
    [25] RColorBrewer_1.1-2          gplots_3.0.1.1              DESeq2_1.24.0              
    [28] SummarizedExperiment_1.14.1 DelayedArray_0.10.0         BiocParallel_1.18.1        
    [31] matrixStats_0.55.0          Biobase_2.44.0              GenomicRanges_1.36.1       
    [34] GenomeInfoDb_1.20.0         IRanges_2.18.2              S4Vectors_0.22.1           
    [37] BiocGenerics_0.30.0        
    
    loaded via a namespace (and not attached):
      [1] circlize_0.4.8         backports_1.1.4        Hmisc_4.2-0           
      [4] fastmatch_1.1-0        plyr_1.8.4             igraph_1.2.4.1        
      [7] lazyeval_0.2.2         splines_3.6.1          urltools_1.7.3        
     [10] digest_0.6.20          htmltools_0.3.6        GO.db_3.8.2           
     [13] gdata_2.18.0           magrittr_1.5           checkmate_1.9.4       
     [16] memoise_1.1.0          cluster_2.1.0          Biostrings_2.52.0     
     [19] annotate_1.62.0        graphlayouts_0.5.0     enrichplot_1.4.0      
     [22] prettyunits_1.0.2      colorspace_1.4-1       blob_1.2.0            
     [25] xfun_0.9               crayon_1.3.4           RCurl_1.95-4.12       
     [28] jsonlite_1.6           graph_1.62.0           genefilter_1.66.0     
     [31] zeallot_0.1.0          survival_2.44-1.1      glue_1.3.1            
     [34] polyclip_1.10-0        gtable_0.3.0           zlibbioc_1.30.0       
     [37] XVector_0.24.0         UpSetR_1.4.0           GetoptLong_0.1.7      
     [40] Rgraphviz_2.28.0       shape_1.4.4            scales_1.0.0          
     [43] DOSE_3.10.2            futile.options_1.0.1   DBI_1.0.0             
     [46] Rcpp_1.0.2             xtable_1.8-4           progress_1.2.2        
     [49] htmlTable_1.13.1       clue_0.3-57            gridGraphics_0.4-1    
     [52] foreign_0.8-72         bit_1.1-14             europepmc_0.3         
     [55] Formula_1.2-3          htmlwidgets_1.3        httr_1.4.1            
     [58] fgsea_1.10.1           acepack_1.4.1          pkgconfig_2.0.2       
     [61] XML_3.98-1.20          farver_1.1.0           nnet_7.3-12           
     [64] locfit_1.5-9.1         labeling_0.3           ggplotify_0.0.4       
     [67] tidyselect_0.2.5       rlang_0.4.0            reshape2_1.4.3        
     [70] munsell_0.5.0          tools_3.6.1            ggridges_0.5.1        
     [73] knitr_1.24             bit64_0.9-7            tidygraph_1.1.2       
     [76] caTools_1.17.1.2       purrr_0.3.2            KEGGREST_1.24.0       
     [79] ggraph_2.0.0           formatR_1.7            KEGGgraph_1.44.0      
     [82] DO.db_2.9              xml2_1.2.2             compiler_3.6.1        
     [85] rstudioapi_0.10        curl_4.0               png_0.1-7             
     [88] tibble_2.1.3           tweenr_1.0.1           geneplotter_1.62.0    
     [91] stringi_1.4.3          lattice_0.20-38        Matrix_1.2-17         
     [94] vctrs_0.2.0            pillar_1.4.2           lifecycle_0.1.0       
     [97] BiocManager_1.30.4     GlobalOptions_0.1.0    triebeard_0.3.0       
    [100] cowplot_1.0.0          bitops_1.0-6           qvalue_2.16.0         
    [103] R6_2.4.0               latticeExtra_0.6-28    KernSmooth_2.23-15    
    [106] gridExtra_2.3          lambda.r_1.2.3         MASS_7.3-51.4         
    [109] gtools_3.8.1           assertthat_0.2.1       rjson_0.2.20          
    [112] withr_2.1.2            GenomeInfoDbData_1.2.1 hms_0.5.1             
    [115] rpart_4.1-15           tidyr_1.0.0            rvcheck_0.1.3         
    [118] ggforce_0.3.1          base64enc_0.1-3 

Thanks again for your patience and help RamRS. Got my answer here:
https://github.com/jokergoo/ComplexHeatmap/issues/359#issuecomment-531669275