@r-
> project.org] On Behalf Of jonathan
> Sent: Monday, December 27, 2010 7:00 PM
> To: r-help@r-project.org
> Subject: Re: [R] levelplot blocks size
>
>
> Thanks for your help.
>
> Might you be able to explain in a little more detail how to use those
> functions to
Thanks for your help.
Might you be able to explain in a little more detail how to use those
functions to solve this specific problem?
I'm happy to put in the work myself and have looked up those functions but
am new to R and still a little unsure about how I would go about using those
functions
Look at the functions cut, findInterval, tapply, and aggregate.
Sent from my iPod
On Dec 26, 2010, at 4:34 PM, "jonathan" wrote:
>
> Thanks for your advice, but my data is not decimals, so I don't need to round
> the values. Instead, what I need to really do is "group" the values into
> large
Thanks for your advice, but my data is not decimals, so I don't need to round
the values. Instead, what I need to really do is "group" the values into
larger "blocks".
My data looks sort of like this:
xy z
00687
0164
0271
0355
0452
05
On 19/12/2010 2:46 PM, jonathan wrote:
Duncan,
Thanks for the help.
I'm new to R, so I'm not sure how to get R to round the values and "group"
them into larger blocks.
I have tried the following:
xlim=seq(0,2000,100),ylim=seq(0,2000,100)
just to see if it would work, but it doesn't...
Do y
Duncan,
Thanks for the help.
I'm new to R, so I'm not sure how to get R to round the values and "group"
them into larger blocks.
I have tried the following:
xlim=seq(0,2000,100),ylim=seq(0,2000,100)
just to see if it would work, but it doesn't...
Do you think you might be able to explain how
On 19/12/2010 2:10 PM, jonathan wrote:
Sorry to bump this up again, but I've been continuing to look for a solution
to this including a look into stats.bin but I still can't find any solution
to do this within R.
See ?levelplot. The number of bins of x and y is equal to the number of
unique
Sorry to bump this up again, but I've been continuing to look for a solution
to this including a look into stats.bin but I still can't find any solution
to do this within R.
Any help would be much appreciated!
Thanks,
Jonathan
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