I'm looking to create a histogram which plots a ranking (1-400ish values) along the x-axis and a frequency per 1000 people on the y-axis. Is there a way to do this with the hist() function? Currently I am using plot.default() like so:
plot.default(frequencyData$Deprivation.rank, frequencyData$Prescription.per.1000.people, xlab =
"Deprivation Rank", ylab = "per 1000", main=graph_title, xlim=NULL, ylim=NULL, type="h")
Once I have this done I would like to calculate the mean and standard deviation and plot them as a line on the graph I am getting which currently (using plot.deafult) looks like this
Anyone able to provide any help?
You didn't provide any data to test with, but I suppose you can do it without any particular problem. Just use the hist()
function.
Here's the documentation which you can reach typing ?hist
in the R console:
Histograms Description
The generic function hist computes a histogram of the given data values. If
plot = TRUE
, the resulting object of class "histogram" is plotted byplot.histogram
, before it is returned.Usage hist(x, ...)
Default S3 method:
hist(x, breaks = "Sturges", freq = NULL, probability =,freq. include,lowest = TRUE, right = TRUE, density = NULL, angle = 45, col = NULL, border = NULL, main = paste("Histogram of", xname), xlim = range(breaks), ylim = NULL, xlab = xname, ylab, axes = TRUE, plot = TRUE, labels = FALSE, nclass = NULL. warn,unused = TRUE. ...)
So, you can try changing the plot function as this:
hist(
frequencyData$Deprivation.rank,
frequencyData$Prescription.per.1000.people,
xlab = "Deprivation Rank",
ylab = "per 1000",
main = graph_title,
xlim = NULL,
ylim = NULL
)
You can obtain a better-looking graph by using the ggplot
library, like this example:
library(ggplot2)
ggplot(frequencyData, aes(Deprivation.rank, Prescription.per.1000.people)) +
geom_histogram() +
xlab("Deprivation Rank") +
ylab("per 1000") +
ggtitle(graph_title)
Hope this helps.
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