I am trying to plot individual data points on a line plot I already made as follows:
p=plot('3.29*exp(-17.4*(x^2))-0.908',xrange=[0.,1.],yrange=[-1.,1.5])
I first tried overplotting a point like this but nothing appears on the graph
estimate1=plot([0.549],[0.755],overplot=1)
When I give the plot function two points to overplot by adding another set of x and y values in input vectors, it connects them.
estimate=plot([0.349,0.9595],[0.555,0.9995],overplot=1)
How can I (over)plot the points without them being connected?
You should be able to set linestyle = 6 which will plot without the line.
I found a way around the problem I was having. After choosing a symbol for the points I wanted to show, I simply set the transparency of the line connecting them to 100 and the symbol transparency to 0.
estimate1.symbol='diamond'
estimate1.transparency=100
estimate1.sym_transparency=0
The work around is not elegant, but it works.
Related
I want to plot 1:3 using points but 3:-1:1 using lines.
How do I achieve this with Plots.jl?
Plot one thing first and then use a new plot command with a bang to modify the previous plot.
scatter(1:3)
plot!(3:-1:1)
I often have to use plots mixing lines and points (ggplot2), with the colors of the line representing one variable (here, "Dose"), and the shape of the points another one (here, "Treatment). Figure 1 shows what I typically get:
Figure 1: what I get
I like having different legends for the two variables, but would like to remove the round markers from the color scale, to only show the colors (see legend mockup below, made with Gimp). Doing so would allow me to have a clean legend, with colors and shapes clearly segregated.
Figure 2 (mockup): what I would like
Would anyone know if there is a way to do that? Any help would be much appreciated.
Note: the plots above show means and error bars, but I have the same problem with any plot mixing geom_line and geom_point, even simple ones.
Thanks in advance !
I am attempting to project data onto a plot in R and see the correlation between the points. I have added a line to let the reader see the connection between these points. I am however stumped when it comes to inputting arrows to show the direction of the line. Rddproj was just an arbitrary name given to the data. Three sets of x and y coordinates are plotted x=c(-0.7159425, -0.8129311, -0.7392371); y=0.7743088, 0.7732762, 0.7490996) Here is the example below.
x<-rddproj[1:3,1]; y<-rddproj[1:3,2]
plot(x,y)
My concern is that the second group of coordinates is the greatest negative point on the x-axis. In drawing a line with arrows, the arrow will most likely point towards this point, when it should be forming a V with that point in the middle. Is it possible to plot an arrow to reflect the placement of points in a group and not just the most positive point to the most negative point or vice versa?
The arrows function ( a modified segments function) is used for this purpose (to the extent that I understand the question) in base R:
# fixed your assignment code.
plot(NA, xlim=range(x), ylim=range(y) )
arrows(head(x,-1),head(y,-1),tail(x,-1), tail(y,-1), angle=30)
An alternative reading of your question would have the glaringly obvious solution : plot(x,y) which I hope is not what you were asking since that should have been satisfactory.
Is there a way to have the second dataset plot on a separate axis, overlaid on the first plot?
using Plots; gadfly(size=(800,400))
plot(Vector[randn(100)], line = ([:green], :step))
plot!(Vector[randn(100)], line = ([:red], :step))
It is now done by adding a twinx() argument:
plot(rand(10))
plot!(twinx(),100rand(10))
There is, however, some unintentional axis and label behavior:
Labels are plotted on top of each other by default
xticks are plotted on top of the already existing plot
Default colors are not correlated to the total number of series in the subplot
Therefore, I suggest adding some additional arguments:
plot(rand(10),label="left",legend=:topleft)
plot!(twinx(),100rand(10),color=:red,xticks=:none,label="right")
There still seems to be an issue correlating all series associated with the subplot at the moment.
It's easy, but doesn't work with Gadfly. It should work fine with PyPlot and GR. Here's an example:
I can confirm (for GR) using Plots; gr()
I want to plot several lists of points, each list has distance (decimal) and error_no (1-8). So far I am using the following:
plot(b1$dist1, b1$e1, col="blue",type="p", pch=20, cex=.5)
points(b1$dist2, b1$e2, col="blue", pch=22)
to add them both to the same plot. (I will add legends, etc later on).
The problem I have is that points overlap, and even when changing the character using for plotting, it covers up previous points. Since I am planning on plotting a lot more than just 2 this will be a big problem.
I found some ways in:
http://www.rensenieuwenhuis.nl/r-sessions-13-overlapping-data-points/
But I would rather do something that would space the points along the y axis, one way would be to add .1, then .2, and so on, but I was wondering if there was any package to do that for me.
Cheers
M
ps: if I missed something, please let me know.
As noted in the very first point in the link you posted, jitter will slightly move all your points. If you just want to move the points on the y-axis:
plot(b1$dist1, b1$e1, col="blue",type="p", pch=20, cex=.5)
points(b1$dist2, jitter(b1$e2), col="blue", pch=22)
Depends a lot on what information you wish to impart to the reader of your chart. A common solution is to use the transparency quality of R's color specification. Instead of calling a color "blue" for example, set the color to #0000FF44 (Apologies if I just set it to red or green) The final two bytes define the transparency, from 00 to FF, so overlapping data points will appear darker than standalone points.
Look at the spread.labs function in the TeachingDemos package, particularly the example. It may be that you can use that function to create your plot (the examples deal with labels, but could just as easily be applied to the points themselves). The key is that you will need to find the new locations based on the combined data, then plot. If the function as is does not do what you want, you could still look at the code and use the ideas to spread out your points.
Another approach would be to restructure your data and use the ggplot2 package with "dodging". Other approaches rather than using points several times would be the matplot function, using the col argument to plot with a vector, or lattice or ggplot2 plots. You will probably need to restructure the data for any of these.