Can I navigate, zoom in and zoom out R plots? - r

I would like to know if R allows to pan and zoom images produced with the "plot" function. I would like to obtain the plot transformation using the mouse and not through the command line, is it possible?
Thanks in advance.

It's a bit old question but for future references, I've wrote a package doing precisely that (based on zoomplot {in pkg:TeachingDemos}). It's called zoom:
The CRAN page on zoom
And you are welcome to check the latest and greatest and expand the package on Github
Usage -
library(zoom) # Invoke the Library
# Call plot
zm()
The instructions for Usage in a normal plot is
Mouse:
Scroll to zoom in and out
Hold left mouse button to move
Keyboard:
Left/Right (h/l): move left/right
Up/Down (k/j) : move up/down
+ or i / - or o : zoom in/out
L/H : zoom in/out (x-axis only)
K/J : zoom in/out (y-axis only)
p : print to file
r : reset limits
s : show limits
q on the graphic window to quit

Not with the default plotting device as its internal model is 'static'.
There are workarounds, tough: look for example at package playwith, or at a Java-based device such as the iplots package on Simon's rforge. There are also extensions like ggobi and other on-going work (such as the Qt-based device which will in time replace ggobi) which try to make R-based graphing more dynamic.
But the main takeaway is: not, not really -- due to the way R graphics devices are designed.

To add to Dirk's answer: see also the iWebPlots and RnavGraph packages.

You should look at Greg Snows zoomplot {in pkg:TeachingDemos}. You may be able to call that function with cursor interface using the tk toolkit. I think Greg's package also has examples of such an interface.

To add to existing answers: I like to use the identify() function to manually add labels just to particular points I want.

You can also add R graphs to plot.ly . This should be enough for the most common stuff.
Stefan

Now there are also http://www.htmlwidgets.org/ that add a great set of interactive visualizations capabilities to R. Most of them can easily be zoomed and panned.

Related

Make Octave set a figure to be the active window (come to the "front of the screen")

When Octave draws a plot, I would like it to set that to be the active window automatically, so that it becomes visible and I don't have to click back and forth between windows to see if the code and plot have finished. Is this possible? Since it would require reaching outside of Octave and controlling the OS, I'm not sure; it depends on whether or not that capability is part of Octave but I haven't found a reference for it yet.
I can always tell Octave to close the figure before opening a new one in the code, but that could prevent me from drawing multiple plots on the same axes, and it would require me to code that command in every time. It would be nice if there were a direct way just to bring the plot to be visible and take dominance over other windows.
EDIT: Somehow, although I noted that Octave would be required to control the OS to achieve this, I completely forgot to mention what that was... I'm running Windows 10 with the default window manager; I believe that would be the Desktop Window Manager.
When you plot something on a figure (whether you specify the figure you're plotting to within the plot command explicitly or simply let it plot into the currently active figure implicitly), this does not automatically raise the figure window to the forefront.
To do so, call the figure again using the figure function, along with the handle that you want to raise.
Alternatively, if you're sure that the figure you want to raise is the currently active one, you can simply use the shg command (which is effectively equivalent to figure(gcf))
E.g.
Fig1 = figure; % (or figure(1) if you want to be explicit)
Fig2 = figure; % (or figure(2) if you want to be explicit)
figure(Fig1); plot(1:10); % raise Fig1 to the forefront, and plot.
PS: Note that there was a bug affecting this behaviour until recently (coincidentally submitted by yours truly :p See https://savannah.gnu.org/bugs/?45943 ). This is fixed in the latest version of octave though (i.e. 5.1.0)

How to keep camera orientation fixed in an interactive 3D plot in R/Shiny

I have a 3D rgl plot that users can modify based on some inputs (you can see it in action at https://magalab.shinyapps.io/rgl_test/). But every time the user modifies the input settings, renderer returns to the initial orientation to redraw the model. I want to keep the orientation consistent between updates. I know how to do that in rgl, and there is already another similar question
(Shiny RGL Plot3D: Keep Plot View Orientation On Replot), which did not receive any answer.
There is potentially a relevant topic at shiny app rglwidget get userMatrix to generate another plot with same rotation, but I don't want to see the userMatrix, simply pass it to the open3d().
Unfortunately, I am not familiar with Javascript and Shiny to achieve this. Any pointers will be much appreciated.
In the very newest rgl (version 0.99.18, currently only on R-forge), there's a function called shinyGetPar3d that is designed to do what you want. See example(shinyGetPar3d) for a demonstration of how to use it.

Plot zoom and locator in RStudio

Is there a way to enable locator() functionality in the RStudio plot zoom? This only works in the smaller window (default bottom right) of RStudio but when you click on a viewer already open as a separate window, no coordinates are captured:
plot(iris$Petal.Width, iris$Petal.Length)
locator()
Perhaps the answer here is that is not currently implemented and that is why I couldn't find mention of it online.
I'm using RStudio version 0.99.491.
Thanks in advance.
This does not directly use RStudio's "Zoom" function, but gets pretty close at what you're probably after:
df <- data.frame(1:4)
windows()
plot(df)
locator(1)
A couple of notes:
You can't dynamically resize the window. If you want to zoom in, you first need to call windows(), then resize the window, then execute plot(df).
Be careful to specify the n argument for locator(). Otherwise it will crash your R session because of this bug. (Which hasn't been resolved AFAIK)
But if your purpose is to be able to use locator() on a zoomed version of a plot (i.e. if you have a very crowded plot), this should do the trick.

Successive pictures on R

I have a code to plot a world map with a meteorological field for one moment (or one measure).
Is it possible to successively plot the map for different moments (for i from 1 to 125) in order to view a sort of video when we run the code?
Yes, look at the animation package.
It can creates an animated gif for you (as well as other tricks). There are live examples you can look at as eg Buffon's needle, a CLT demo and much more.
The package abstracts away some of the OS-dependent layers. If you know the basics, you can of course just call the corresponding tool from the imagemagick project which is likely to be available on OS of choice too.

Can R create a barplot image with clickable bars to insert on a webpage?

I know how to create a barplot, and how to stick it on a webpage; e.g, using hwriteImage in the hwriter package.
What I'd like is for each bar to be a region which highlights on mouseover, and where each bar has a different link when clicked. Similar to this map of the U.S. using the jQuery maphilight plugin, but for a barplot rather than a map. I imagine R could calculate the coordinates of the regions around each bar, generate the HTML AREA tag etc and pass this to maphilight quite easily. Has it been done already? I searched but no luck so far.
Have a look here, which summarises a couple of methods: rggobi and iplots. rggobi looks pretty promising, though maybe the installation looks a bit involved. iplots is only good for scatter plots.
Some other options (I think these are strongest ones at the moment):
googleVis
The googleVis package interfaces with the google charts API: try demo(googleVis) and the third & fourth one are bar chart (there could be more). It has the advantage of being pretty simple to get started with, although these are not R graphics:
df=data.frame(country=c("US", "GB", "BR"), val1=c(10,13,14), val2=c(23,12,32))
Column <- gvisColumnChart(df)
plot(Column)
gridSVG
The gridSVG exports the current grid graphics to an .svg file that can be included into a webpage. Unlike googleVis, it's R graphics (so you can use grid/ggplot2 which are more familiar). It looks like you may have to know some Javascript to further embellish your plots though (e.g. to animate on mouse over, you use grid.garnish(...,onmouseover=...)).
There's some example code you can try here (The really awesome ones are here - usually clicking on the "SVG file" link will have the full interactivity/animation.) (This one is a scatterplot where the points highlight when you move your mouse over them).
As I said - have a look at the package pages, demos, examples, etc to see which suits you.

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