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POHow to plot summaries of a table in bar chart
 

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    <p>I have a table of SNPs and the information about the corresponding gene: Gene ID, Gene type and Gene Name:</p> <pre><code> SNP Gene ID Gene type Gene Name 1 rs10876864 ENSG00000123411.10 protein_coding IKZF4 2 rs10876864 ENSG00000123411.10 protein_coding IKZF4 3 rs10876864 ENSG00000123411.10 protein_coding IKZF4 4 rs10876864 ENSG00000123411.10 protein_coding IKZF4 5 CNVR2845.57 ENSG00000196126.6 protein_coding HLA-DRB1 6 CNVR2845.57 ENSG00000196126.6 protein_coding HLA-DRB1 7 CNVR2845.57 ENSG00000196126.6 protein_coding HLA-DRB1 8 CNVR2845.57 ENSG00000196126.6 protein_coding HLA-DRB1 9 rs6030897 ENSG00000201372.1 snRNA U6 10 rs6030897 ENSG00000201372.1 snRNA U6 11 rs6030897 ENSG00000201372.1 snRNA U6 </code></pre> <p>I want to plot a bar chart of the total # of SNPs to see how many of the SNPs are protein_coding or snRNA or etc. </p> <p>This is my code so far:</p> <pre><code>barplot(as.matrix(data1), main="SNP", xlab="Gene type", ylab= "Total SNP", names.arg=c("protein_coding","snRNA","pseudogene","antisense","lincRNA",""), border="blue", density=c(10, 20, 30, 40, 50)) </code></pre> <p>But i'm getting an error saying:</p> <pre><code>Error in barplot.default(as.matrix(data1), main = "SNP", xlab = "Gene type", : incorrect number of names In addition: Warning messages: 1: In apply(height, 2L, cumsum) : NAs introduced by coercion 2: In apply(height, 2L, cumsum) : NAs introduced by coercion 3: In apply(height, 2L, cumsum) : NAs introduced by coercion 4: In apply(height, 2L, cumsum) : NAs introduced by coercion </code></pre>
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