I met a problem when shading some areas by using function polygon in R. if these areas have common parts, the last shaded one will cover the previous one. But now, I do want do see this phenomenon and want to keep the original boundaries. what should I do?
see the following image as an example:
the codes for drawing this image are:
plot(variance_five[51:60,2],type="n",ylim=c(0,0.1))
for(i in 1:6)
{
polygon(c(1:10,10:1),c(variance_five[(10*i-9):(10*i),1],variance_five[(10*i): (10*i-9),3]),lty=2,col=i)
lines(variance_five[(10*i-9):(10*i),2])
}
we can see that the last shaded area(purple) covers some blue and light blue parts, what shall I do keep all the boundaries of all areas and the colour in the common areas are the sum effect of these colours? Thank you!
You want to use transparency. The function alpha in the scales package will add transparency to any color. I'd recommend setting up a vector of colors before the loop and making them transparent, e.g.
my_colors <- rainbow(6)
require(scales)
my_colors <- alpha(my_colors, alpha = 0.5)
And then inside the loop replacing col = i with col = my_colors[i].
You can, of course, adjust the alpha level (0 is completely transparent, 1 completely opaque) as necessary. The scales package also provides a function show_col which I find useful in picking colors. Try
show_col(rainbow(6))
show_col(heat.colors(6))
show_col(cm.colors(6))
I should note that rainbow et al. take alpha as an argument, so you don't need the alpha function, but it's more general to use the alpha function which will work on other R colors if you've got favorites. (I like dodgerblue2 and firebrick4, personally.)
Related
I have the following dataframe:
df <- data.frame(x=c(1,3,-3,-2), y=c(2,5,2,1),z=c(1,7,4,1))
I use the following rgl code:
library(rgl)
open3d()
plot3d(df,col=3,type="p", radius=0.5)
plot3d(df,col=rgb(1,0,0.3),alpha=0.5, add=T,type="s",radius=1)
and get the following:
Now, I like my figure, but would like to reduce the gloss/shininess (or even eliminate it completely). It takes up too much of my plotting character. How do I do that?
I tried passing shininess as a parameter, and while it somewhat helps, it does not get rid of it completely. Even with shininess 128 (maximum value),it does not get rid of it completely.
library(rgl)
open3d()
plot3d(df,col=3,type="p", radius=0.5)
plot3d(df,col=rgb(1,0,0.3),alpha=.3, add=T,type="s",radius=1, shininess=128)
Then I get:
Can I get rid of the shinyness completely, or at least in a manner that it is almost nonexistent?
If you set the specular material colour to black, you won't see any shininess. A more extreme version is to set lit to FALSE. For example, here the spheres are drawn with specular = "black":
The black dots are the points you drew. And here they are drawn with lit = FALSE:
This removes important cues that people use for depth perception, so I don't recommend it.
Edited to add: One other thing I recommend if you're drawing transparent spheres: add back = "cull". Otherwise you can get weird interactions between the front and back faces of the spheres in certain rotations.
In PyQtGraph, GLScatterPlotItem, I would like the points to not blend color together when the points overlap. I want to see the closest point, and not the ones behind.
I have asked for the colors to be opaque (alpha = 1.0), but when the dots in a plot overlap, the color just turns a shade of magenta, even if all the points in that region arevery similar color.
Here's an example:
plt = gl.GLScatterPlotItem(pos=coords, color = colors, size=5, pxMode=True)
where colors are a sort of 'heat map' that range from red to blue.
The plot I get is this:
You can see there is some red, but everywhere the points really overlap, the color goes weird.
On the other hand, if I do the simple modification of size=1, then the colors are nice, but the dots are tiny, and can be hard to see:
This is exactly the same data both time. You can start to see a little of the magenta color over to the left and rear where point desity is high, but other than that, the colors are correct.
How can I prevent the magentification of my plots?
Thanks a bunch!
OpenGL is probably rendering dots additively and saturating. Try:
plt.setGLOptions('opaque')
I ran into this as well; the default options are pretty for volumetric data, but aren't great for dense point clouds from surfaces. If you figure out something even better, i.e. local patches with illumination, post back about it!
I wish to do this instead of doing subsets so that my confidence intervals reflect all of the data. (I'm plotting lines one by one on a powerpoint.)
Basically, I need to just have one line be completely invisible.
I've tried
scale_color_manual(values=c("black", "transparent"))
which seems to do the trick, unless the transparent line overlaps another, in which case it makes it lighter. "none" and "invisible" are not defined color values in R. Advice?
Thanks!
You can specify NA as a color if you just don't want something plotted:
values = c("black", NA)
I was wondering if anybody had much experience with the function bplot in R, I am making a 3d plot and the plot works fine. The only thing I want to change is the gradient of colour which you get from drape=TRUE. At the moment it has a single pink colour fading into blue, I really need a third colour in the middle to highlight the central data better as this is the most important for my study, and at the moment in some of the plots I am doing its too difficult to pick out and correlate with the level of y in the colour scale bar.
Does anybody have any idea how to do this?
I need more reputation to post an image of the plot but you can see what I mean in the second image of this thread.
Plot Regression Surface
Many thanks
Aaron
Try adding a colorRampPalette argument to your plot like so:
col.regions = colorRampPalette(colors=c("red","yellow"))(1000)
This will give you a gradient of 1000 shades between red and yellow, You can use any of the R colors in the color ramp, and you can specify more than two e.g.colors=c("red","orange3","palegoldenrod") if you like. You should put this argument at the same place you are putting drape=TRUE
This could be more generally be How to change the theme colours? Or maybe TA colours are not controlled by theme?
This makes bollinger bands with a nice cloud effect:
chartSeries(bars, theme="white")
addBBands()
(See example of how it looks (near the bottom) )
The cloud effect is dark grey on this next example, so almost invisible.
chartSeries(bars, theme="black")
addBBands()
How do I change it to be, say, a nice bright red, with bright purple for the upper and lower lines? (Yeah, I know, -1 for the colour scheme)
I believe I'll be able to specify an 8-hex-digit colour to specify semi-transparency. But can I do anything more exotic? E.g. it would be rather cool to use a gradient and have it #ff0000 at the centre, fading to #330000 at the upper and lower lines. Is there any gradient support in quantmod charting?
A look at chartTheme seems to indicate that a gradient is not possible, but the up/down colours can be specified, as can the respective border colours. Just define your own theme as per the examples. You can start with the predetermined theme and modify certain individual parameters.
Fleshing out Benjamin's answer and my own learnings, here is an example:
#bars is an XTS object, OHLC data
library(quantmod)
chartSeries(bars)
addBBands(n=20,sd=2)
addBBands(n=50,sd=1)
The above draws two bollinger bands, in default colour scheme. The following will change them to be a semi-transparent red (i.e. the red is stronger where they both exist):
t=chartTheme()
t$BBands$fill="#ff666633" #20% red (i.e. hex 33 is the transparency)
reChart(theme=t)
From my study of the source this should have worked to change the line colours:
t$BBands$col=c('red','blue','green')
But it does not. However you can change the top/bottom colours to the same colour with:
t$BBands$col='blue'
reChart(theme=t)
And here is how to do the same with the newer chart_series() function, and notice you can set the line colours individually (NB. there is no reChart function, as far as I can see):
t=chart_theme()
t$bbands$col$fill="#ff000033"
t$bbands$col$upper='red'
t$bbands$col$lower='green'
t$bbands$col$ma='blue'
chart_Series(bars,theme=t)
add_BBands(n=50,sd=1)
add_BBands(n=20,sd=2)
It is not possible, as far as I know, to use a different colour scheme for each of the two bollinger bands. Even changing the colour scheme like this fails, as after the second command it redraws both with the new colours!
obj=chart_Series(bars)
add_BBands(n=50,sd=1)
obj$Env$theme$bbands$col$fill="#00ff0033"
add_BBands(n=20,sd=2)