Sample of the dataset.
nq
0.140843018
0.152855833
0.193245919
0.156860105
0.171658019
0.186281942
0.290739146
0.162779517
0.164694042
0.171658019
0.195866609
0.1
Would that work for you?
nq <- read.table(text = "
0.140843018
0.152855833
0.193245919
0.156860105
0.171658019
0.186281942
0.290739146
0.162779517
0.164694042
0.171658019
0.195866609
0.166967913
0.136841748
0.108907644
0.264136384
0.356655651
0.250508305", header = F) # Your data
nq$V2 <- cut(nq$V1, 5, include.lowest = T)
nq2 <- aggregate(V1 ~ V2, nq, length)
nq2$V3 <- nq2$V1/sum(nq2$V1)
library(ggplot2)
ggplot() + geom_bar(data = nq2, aes(V2, V1), stat = "identity", width=1, fill = "white", col = "black", size = 2) +
geom_text(vjust=1, fontface="bold", data = nq2, aes(label = paste(sprintf("%.1f", V3*100), "%", sep=""), x = V2, y = V1 + 0.4), size = 5) +
theme_bw() +
scale_x_discrete(expand = c(0,0), labels = sprintf("%.3f",seq(min(nq$V1), max(nq$V1), by = max(nq$V1)/6))) +
ylab("No. of Cases") + xlab("") +
scale_y_continuous(expand = c(0,0)) +
theme(
axis.title.y = element_text(size = 20, face = "bold", angle = 0),
panel.grid.major = element_blank() ,
panel.grid.minor = element_blank() ,
panel.border = element_blank() ,
panel.background = element_blank(),
axis.line = element_line(color = 'black', size = 2),
axis.text.x = element_text(face="bold"),
axis.text.y = element_text(face="bold")
)