Clustered Bar Plot Using ggplot2

Question

Basically I want to display a barplot which is grouped by Methods i.e I want to display the number of people conducted the tests, the number of positive test results had found for each of the methods. Also, I want to display all the numbers and percentages as labels on the bar. I am trying to display these using ggplot2. But I am failing every time.

Any helps.

Thanks in advance

dc37 · Accepted Answer · 2019-11-30 08:35:57Z

3

I'm not sure to have fully understand your question. But I will suggest you to take look on geom_text.

library(ggplot2)

ggplot(df, aes(x = methods, y = percentage)) + 
  geom_bar(stat = "identity") + 
  geom_text(aes(label = paste0(round(percentage,2), " (",positive," / ", people,")")), vjust = -0.3, size = 3.5)+
  scale_x_discrete(limits = c("NS1", "NS1+IgM", "NS1+IgG","Tourniquet")) + 
  ylim(0,100)

Data:

df = data.frame(methods = c("NS1", "NS1+IgM","NS1+IgG","Tourniquet"),
                people = c(542,542,541,250),
                positive = c(505,503,38,93))
df$percentage = df$positive / df$people * 100

> df
     methods people positive percentage
1        NS1    542      505   93.17343
2    NS1+IgM    542      503   92.80443
3    NS1+IgG    541       38    7.02403
4 Tourniquet    250       93   37.20000

Does it answer your question ? If not, can you clarify your question by adding the code you have tried so far in ggplot ?

answered Nov 30, 2019 at 8:35

dc37

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1 Comment

Shakil Ahmed Shaon Over a year ago

Yes it does answer my question. I was using the following codes. >library(ggplot2) >library(reshape2) >df=data.frame(Methods=c('NS1', 'NS1+IgM', 'NS1+IgG', 'Tourniquet Test'), Positive=c(505,503,38, 93), Percent=c(93.2, 92.8,7.0,37.2)) >mm= melt(df, id.vars='Methods') >q=ggplot(mm, aes(x=Methods, y=value))+geom_bar(stat='identity')+facet_grid(.~variable)+coord_flip()+labs(x='', y='') Thank you so much.

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