is it possible to "mirror" the y axis with R plotly ? I would like to do something similar to this, but with a mirrored y-axis, in order to plot 2 by 2 some data, one replicate one the regular yaxis, and the other on the mirrored axis (that would prevent me to convert a half of my data to negative values).
Also, if possible, I want the bars to be on the same place (one right under the other), not on two distinct sides like showed in the link.
Thanks in advance.
Related
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.
I've come up with a graph (a scatterplot) of the log(1+inf) (inf = number of people infected with a given disease on the y-axis against one of the explanatory variables, in this case, the populational density (pop./km²; x-axis) on my model. The log transformation was used merely for visualization, because it spreads the distribution of the data and allows for more aesthetically appealing plots. Basically, what I want is both axis to show the value of that same variable before the log transformation. The dots need to be plotted like plot(log(1+inf),log(populational_density), but the number on the axis should refer to plot(inf,populational_density). I've provided a picture of my graph with some manual editing on the y-axis to show you the idea of what I want.
The numbers in red would be the 'inf' values equivalent to log(inf);
Please, bear in mind that those values in red do not correspond to reality.
I understand the whole concept of y = f(x), but i've been asked to provide it. Is this possible? I'm using the ggplot2package for plotting.
I just came into a problem while making several maps in R, the problem I came to is that I want to plot several maps and some geom_points in those maps, each map will have some points with different values and so the legend with the scales (size and color) will change between maps. All I want is to have exactly the same legend, representing the same values (for both color and size). I've tried with breaks etc but my data is continuous, so I didn't find any way to fix it.
EDIT:Simple example
Will try to explain with simple example by myself. Imagine I have these two arrays to be plotted into different coordinates for 2 different days:
c<-(1,2,3,2,1)
c<-(1,9,2,1,2)
What I want is to set the legend of the plot to be always representing the range 1-9 as values of the geom_points, no matter the specific values of the given day, in a way that no matter the values, the legend will be always the same and if I try to set some slides, the scale will not change
Any ideas?
I'm trying to create a dot chart in Stata, splitting it into two categories
Running a chunk of code:
sysuse nlsw88, clear
drop if race == 3
graph dot (mean) wage, over(occ) by(race)
Creates such output:
So far so good but I'd like to remove labels of Y axis from the right graph to give the data some more space.
The only way I've been able to do that was to manually edit graph and hide the axis label object:
Is there a way to do it programmatically? I do know I could use one more over() but in some graphs of mine that is already taken.
I believe the solution is buried in help bystyle and help by_option. However, I can't get it to work with your example (I'm on Stata 12). But the description is clear. For example:
A bystyle determines the overall look of the combined graphs,
including
whether the individual graphs have their own axes and labels or if instead the axes and labels are shared across graphs arrayed in the
same row and/or in the same column;
...
There are options that let you control each of the above attributes --
see [G-3] by_option --
And also
iyaxes and ixaxes (and noiyaxes and noixaxes) specify whether the y axes and x axes are
to be displayed with each graph. The default
with most styles and
schemes is to place y axes on the leftmost graph of each row and to place x axes on
the bottommost graph of each column. The y and
x axes include the
default ticks and labels but exclude the axes titles.
If for some reason that doesn't work out, something like
sysuse nlsw88, clear
drop if race == 3
graph dot (mean) wage, over(occ) by(race)
gr_edit .plotregion1.grpaxis[2].draw_view.setstyle, style(no)
does (but I don't really like the approach). You can mess with at least the axis number [#] to do a bit of customization. I guess recording changes in the graphical editor and then recycling the corresponding code, may be one way out of difficult situations.
I need to show the values on the horizontal axis (aka abscissa, aka x-axis) converted into other units. Hence the need for a second axis.
It is not currently possible. Hopefully after this summer.