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How to do graph visualization of a frequency distribution?
I have a histogram of temperatures (mgmols/L). I would like to draw a graph of frequency distribution in order to see if the temperatures fall into different clusters. I am not quite sure where to start with this problem. I have heard that r can help with this, but I’m not sure exactly how to go about this.
A:
To plot a histogram in R, use the plot command with the hist function. For example:
hist(t,freq=FALSE,breaks=1:1000)
This graph will show the number of times the temperature in t occurred as the number specified in breaks. Of course, you can customize the number of intervals by changing breaks, or changing the number of bins and subdividing the range into that number of bins.
If you want to see frequencies, you could use a bar graph, or an intervalled scatterplot. For a bar plot, just scale the counts so that they are on the y axis instead of a bar graph. Then you can see how many points fall in each segment of the graph.
If you want to do a clustered graph, I would use Dendextend. It can create hierarchical clusters using the mclust package. I’ve found that it makes the most sense for a lot of the work I do. You can get it from CRAN. Here’s a simple code example.
library(“
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