I am trying to create contour plots of film thicknesses on a wafer using plotly, but would like the outputted plot to be a circle since it is a wafer instead of the default square. Do I have to somehow overlay a circle on to the plot and then exclude anything outside of it after the plot is generated? I prefer using plotly if possible since it looks nice. I've tried using ggplot as well but for some reason my data doesn't work with it since the x and y coordinates are apparently irregularly spaced. I've searched around but have not seen any results at least using R.
Thanks!
I’m using the metafor package to create Forest plots in R. I’d like to add text to my plots to create labels using the text() function. I’m wondering what the simplest way is to determine the x,y coordinates of where I want my text to go. Currently I just guess and see how it looks and then edit as necessary. Is there a way to overlay a grid over my plot or something to guide me (and then remove it after)?
Thank you!
Start by saving what forest() returns:
x <- forest(res)
And then take a look at x. Among other things, it contains xlim and ylim, which are the x-axis and y-axis limits. Try this:
abline(v=x$xlim)
abline(h=x$ylim)
Also useful:
text(x$xlim[1], x$rows, x$rows, xpd=NA)
I hope this helps.
I want to add an additional tick to my plot in ggplot2, and used Solution 2 as described in the post Annotate ggplot with an extra tick and label.
It worked fine for me, giving the following result in R Studio:
But when I try to save the result using ggsave() to create the a .pdf, .ps, or .png file, the red number is cut off half like this:
I have the feeling that the inner plot is printed first and later the margins are plotted on top of this.
Anybody has a hint?
Thank you Z. Lin! I just had a grid.draw(g) instead of g <- grid.draw(g). This dot in R always activates my python brain region :)
I have a set of data that I'm trying to create a surface plot of. I have an x,y point and a to colour by.
I can create a xy plot with the points coloured but I can't find a way to create a surface plot with my data. The data isn't on a normal grid and I would prefer to not normalize it if possible (or I could just use a very fine grid).
The data won't be outside the a radius=1 circle so this part would need to be blank.
The code and the plot is shown below.
I've tried using contour, filled.contour as well as surface3d (not what I wanted). I'm not real familiar with many packages in R so I'm not even sure where to begin looking for this info.
Any help in creating this plot would be appreciated.
thanks,
Gordon
dip<-data.frame(dip=seq(0,90,10))
ddr<-data.frame(ddr=seq(0,350,10))
a<-merge(dip,ddr)
a$colour<-hsv(h=runif(nrow(a)))
degrees.to.radians<-function(degrees){
radians=degrees*pi/180
radians
}
a$equal_angle_x<-sin(degrees.to.radians(a$ddr))*tan(degrees.to.radians((90-a$dip)/2))
a$equal_angle_y<-cos(degrees.to.radians(a$ddr))*tan(degrees.to.radians((90-a$dip)/2))
plot(a$equal_angle_x,a$equal_angle_y,col=a$colour,lwd=10)
With regards to the plot I was trying to create is below. I believe the link in the first comment should get me where I'm trying to go.
I'm trying to plot a box within a filled.contour plot, but unfortunately, when I plot the lines() after the filled.contour plot is created, the figure is shifted to the right because the scale forces the image to the left, but the box stays at the same coordinates. Here's what my code looks like:
dev.new(width=6,height=7)
mypredict<-matrix(data=mypredict,nrow=20,ncol=25)
filled.contour(x=seq(from=-1.5,to=1.5,length=20),
y=seq(from=1,to=3.75,length=25),
z=mypredict,
col=hsv(h=seq(from=2/3,to=0,length=20),s=1,v=1)
)
top <- 3.42
bot <- 1.56
lines(c(-1,-1),c(bot,top))
lines(c(1,1),c(bot,top))
lines(c(-1,1),c(top,top))
lines(c(-1,1),c(bot,bot))
Does anyone know how I can plot those lines within the filled.contour function? Otherwise, the lines do not plot correctly onto the main image, since the scale/legend of the graph is placed on the right.
Thanks!
The manual page for filled.contour explains the problem (and gives a solution)
This function currently uses the ‘layout’ function and so is restricted
to a full page display. As an alternative consider the ‘levelplot’
and ‘contourplot’ functions from the ‘lattice’ package which work in
multipanel displays.
The output produced by ‘filled.contour’ is actually a combination
of two plots; one is the filled contour and one is the legend.
Two separate coordinate systems are set up for these two plots,
but they are only used internally - once the function has returned
these coordinate systems are lost. If you want to annotate the
main contour plot, for example to add points, you can specify
graphics commands in the ‘plot.axes’ argument. An example is
given below.
So essentially you pass some instructions as the plot.axes parameters to override standard behaviour.
In your example:
filled.contour(x = seq(from=-1.5,to=1.5,length=20),
y = seq(from=1,to=3.75,length=25), z = mypredict,
col = hsv(h=seq(from=2/3,to=0,length=20),s=1,v=1),
plot.axes = {axis(1); axis(2); rect(left, bottom, right, top);})
Note that you have to recreate the two axes otherwise they will not be drawn. Also, no need to use the lines statement, when there is a rect function! :)
Hope this helps