> I therefore wish to examine all values of urban.long[,3] which are
> greater than 1. I have tried the following, but receive error
> messages each time:
> > hist(urban.long[,3]>1)
> Error in hist.default(urban.long[, 3]> 1) : 'x' must be numeric
> > hist(urban.long[urban.long[,3]>1])
> Error i
> I have a column within a dataframe of values which range between 1 and
> 2. I want to display graphically the distribution of these values
> (i.e. are they clustered towards either exteme? Or spread evenly?).
> What is a good way of doing this in R?
>
> I've tried a few things, including using
Dear Phil and Jorge,
Many thanks for your quick replies. I found that:> hist(urban.long[,3]) worked
and displayed the data as I hoped. This reveals that the data are strongly
distributed towards the value '1', and the other bars on the histogram are
difficult to distinguish from each other a
Steve Murray hotmail.com> writes:
>
>
> Dear all,
>
> I have a column within a dataframe of values which range between 1 and 2. I
want to display graphically the
> distribution of these values (i.e. are they clustered towards either exteme?
Or spread evenly?). What is
> a good way of doing thi
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