(this is somewhat a change of subject from the original question)
Rich, there functions such as aggregate() in base R. There are also many
options in CRAN packages.
But I tend to have difficulty getting them to do exactly what I want, and
usually end up rolling my own.
The idea is to split the
On Mon, 3 Sep 2018, Rich Shepard wrote:
Is there a process by which these plots can be 'thinned' so they show the
same overall patterns but with fewer points so they display more quickly?
Bert/Paul/David/John:
Thanks very much for the suggestions. I think an appropriate way to
illustrate th
On Mon, 3 Sep 2018, Sorkin, John wrote:
Might it help to take a random subset of the data and plot the sub set? If
the relation is linear you could include a regression line obtained from
the entire data set
John,
I'll definitely explore this option. Thanks for the idea.
Regards,
Rich
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On Mon, 3 Sep 2018, David L Carlson wrote:
If the plot is being displayed on a monitor, it is being bitmapped to the
resolution of the display device regardless of how you save it. Most
computer monitors are about 100dpi.
David,
I'm looking at the report on the monitor. I suspect that most
If the plot is being displayed on a monitor, it is being bitmapped to the
resolution of the display device regardless of how you save it. Most computer
monitors are about 100dpi.
If the problem is that the points are overprinting, Bert's suggestion to use
hexbin() is the way to go.
If the poin
On Mon, 3 Sep 2018, Bert Gunter wrote:
1. Plot a random sample of the points (e.g. of rows of matrix/dataframe
containing "x" and "y" columns
2. See the hexbin package
3. Check out the graphics taskview on cran:
https://cran.r-project.org/web/views/Graphics.html
(though it may be somewhat date
1. Plot a random sample of the points (e.g. of rows of matrix/dataframe
containing "x" and "y" columns
2. See the hexbin package
3. Check out the graphics taskview on cran:
https://cran.r-project.org/web/views/Graphics.html
(though it may be somewhat dated by now)
4. Internet search: e.g. on "d
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