I\'m having trouble making a histogram in R. The problem is that I tell it to make 5 bins but it makes 4 and I tell to make 5 and it makes 8 of them.
data &l
Building on the answer from Rob Hyndman:
Maybe a more generic solution would be to make the breaks considering the minimun and maximun values of the data, and the number of breaks = number_of_bins+1.
hist(data,breaks=seq(min(data),max(data),l=number_of_bins+1),
freq=FALSE,col="orange",
main="Histogram",xlab="x",ylab="f(x)",yaxs="i",xaxs="i")
The integer specified as argument for nclass
is used as a suggestion:
the number is a suggestion only
An alternative solution is to cut
your vector into a specified number of groups and plot the result:
plot(cut(data, breaks = 4))
Use the breaks argument:
hist(data, breaks=seq(0,80,l=6),
freq=FALSE,col="orange",main="Histogram",
xlab="x",ylab="f(x)",yaxs="i",xaxs="i")
If you are not opposed to using something other than base graphics, there is always the ggplot2 way of doing things:
library(ggplot2)
data <- data.frame(x=data)
ggplot(data, aes(x=x))+
geom_histogram(binwidth=18,color="black", fill="grey")+
scale_x_continuous(breaks=c(0,20,40,60,80)
ggplot2 has great documentation at: https://ggplot2.tidyverse.org/
For histogram specific examples: https://ggplot2.tidyverse.org/reference/geom_histogram.html
I like to be quite accurate about my data points:
hist(data,breaks = seq(min(data),max(data),by=((max(data) - min(data))/(length(data)-1))))
This should automate the process with little manual input.