I made an RPKM analysis of my data and I generated this result

head((RPKM_analysis))
                    a          b          c          d          e          f              
gene0         8.5099049 5.5732562   5.0730217  6.4162466  25.075330   19.163763       
gene1         2.6056052 0.4082469   4.4356482  0.9731503   3.508077    41.594664        
gene2         0.4727903 0.3678376   0.3397144  0.1221217   4.475466    2.936647         
gene3         0.8390143 0.3199489   1.2082854  0.1856811  14.063714   4.129234        
gene4         2.2246130 2.3719177   2.3547895  0.7456295  22.917552   7.871053        
gene6       150.0407639 9.5132677 266.7380691 76.9122813 100.517840  61.350209 
                       g           i       j           k                             
gene0             34.667379 13.056078 90.2201082    8.3383381
gene1              4.642868  2.658317  0.5275397     0.6345467
gene2              1.864922  1.487531  8.1337453     24.3506878
gene3              2.594216  2.194451  6.2621722     49.8774268
gene4              4.922619  5.944980 41.6279899    119.1270556
gene6            582.504495 12.147723 74.0451493   11.8167852

It is possible to create a heatmap of this analysis? I used this script

heatmap_RPKM <- heatmap(as.matrix(RPKM_analysis))

but the problem is that it doesn't show me rownames and colnames. Anyone can help me?

You are using the basic heatmap() function. If my memory serves me correctly, by default, row and column names are not activated in this function. You can specify them with labRow and labCol.

You are also using as.matrix(), but I believe you should use data.matrix().

If you want to 'upgrade' to heatmap.2(), then take a look at my answer on Biostars: https://www.biostars.org/p/284721/#284723

Kevin