On 09/13/2010 06:17 AM, Karl Brand wrote:
Cheers!
All excellent, runable examples helping me progress quickly.
Being more a qualitative plot, the y-axis is less important. But it did
get me thinking-
Coloring each of the plotted lines, say 'altitude colors' like the
classic volcano example to
Esteemed useRs and developeRs,
I need to create a '3D line plot' (proper name?) of which an excellent
example can be viewed here:
http://cococubed.asu.edu/images/87a/images/unknown_pleasures.jpg
I have some experience using the rgl package to create 3D PCA plots, but
have no idea where to
On 12/09/2010 10:12 AM, Karl Brand wrote:
Esteemed useRs and developeRs,
I need to create a '3D line plot' (proper name?) of which an excellent
example can be viewed here:
http://cococubed.asu.edu/images/87a/images/unknown_pleasures.jpg
I have some experience using the rgl package to
On Sep 12, 2010, at 10:12 AM, Karl Brand wrote:
Esteemed useRs and developeRs,
I need to create a '3D line plot' (proper name?) of which an
excellent example can be viewed here:
http://cococubed.asu.edu/images/87a/images/unknown_pleasures.jpg
Set up blank plot region with proper ranges
Hi:
Another approach is to use lattice:
http://lmdvr.r-forge.r-project.org/figures/figures.html
Go to Chapter 14 and click on Figure 14.3; the code is on the RHS of the
figure.
HTH,
Dennis
On Sun, Sep 12, 2010 at 7:12 AM, Karl Brand k.br...@erasmusmc.nl wrote:
Esteemed useRs and developeRs,
Cheers!
All excellent, runable examples helping me progress quickly.
Being more a qualitative plot, the y-axis is less important. But it did
get me thinking-
Coloring each of the plotted lines, say 'altitude colors' like the
classic volcano example to reflect the (scaled) values the lines
Hi:
Here's a fairly basic ggplot2 version with a few warts in it:
# Generate means
means - rpois(30, 10)
# Create 30 Gaussian random samples of size 100, using means to
# define the population mean for each sample (via sapply)
df - data.frame(ds = rep(1:30, each = 100),
x =
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