My question is about overlaying plots of different x and y scales .The raw data is out of a public weather database in New Zealand called CliFlo, managed by NIWA. I'm not prepared to copy the data for an example because of copyright protections.
I want to reproduce the types of graphs they offer at a fee, shown on this web page. Take the Rainfall graph. There is a cumulative rainfall line graph overlayed on top of a monthly rainfall bar graph. I can generate each graph separately using ggplot2, but I can't find a good way to overlay them like in the example. I've found the gridExtra package to let me print them side-by-side, and I've come across the magick package that might let me do the job, but I'm not sure on how to get the plots lined up properly and how to use the magick package properly. Can anybody help me out on this?
Should I try to scale the month bars to fit the daily line graph but make them spaced out and thicker so they look like months, or would it be easier to use the magick package somehow?
I'd attach an image of what I have so far, but I'm new to this website and it won't let me yet.
Related
My goal is to make an interactive plot of rain radar time serie, I want to is display the raster layer I want through a scroll bar in the plot area, or with HTML output like dygraph can do.
For now, I use the raster, levelplot and animate packages to make a gif of the event (with sp to add shapefile), but the result is not very good for my use of it, and not pretty.
Is that possible and how?
I tried to use the htmlwidget and leaflet without success. They do not allow the multiband raster except for RGB purpose. so when I tried, it gaves me the sum of all the layers in one.
I don't know what script I could give to help you. Ask me if you need something.
I've created a time series plot in R using the ggplot package, but I wanted to see if I could further customize it by creating target zones. I originally started with an Excel plot that allows me to move a gray box to different areas of the plot as an easier way to point out a range of temperatures. However, I wanted to see if I could replicate this in R. Here's a screenshot of my Excel plot to better explain my goal: Time Series on Excel. On the time series plot, you can see a gray box that you can drag around and change the size of to better define a range of temperatures (in this case, it covers from 15-25C). Is this possible to do on top of my time series plot in R? I'm only starting to code in R so it's been quite hard for me to navigate, and I appreciate any help I could get. Thanks!
I'm doing a density compare in R using the sm package (sm.density.compare). Is there anyway I can get a mathematical description of the graph or at least a table with number of points rather than a plot back? I would like to plot the resulting graphs in a different application, but need the data to do so.
Thanks a lot for the help,
culicidae
Using R I would like to replace the points in a 2d scatter plot by a pie chart displaying additional values.
The rational behind is that I have time series data for hundreds of elements (proteins) derived from a biological experiment monitored for 4 conditions. I would like to plot the elements (categorial data) on the y axis and occurrence of a event in time on the x axis. To visualize the relative occurrence between the 4 conditions I would like to visualize this in form of a pie chart or doughnut chart overplayed onto the respective point in the scatter plot.
The overall data density is low so overlapping won't be an issue.
Is this possible in R?
I was thinking of using a manual scale in ggplot2 but could not figure out how to define a pie chart as a scale.
Also of interest would be how to best cluster this data and sort it accordingly.
Yes. pieGlyph() is one ready-to-go function from the Rgraphviz package.
Also, I would check out this Q/A for how to do things like this more generally:
How to fill a single 'pch' point on the plot with two-colours?
Especially check out ?my.symbols from the TeachingDemos package.
Lastly, in regards to ggplot2, you should check out this blog post about possible upcoming features:
http://blog.revolutionanalytics.com/2011/10/ggplot2-for-big-data.html
See also Paul Murrell. Integrating grid graphics output with base graphics output. R News, 3(2):7-12, October 2003. http://www.r-project.org/doc/Rnews/Rnews_2003-2.pdf
The code on pp 10-11 sets up the main plot axes, labels and legend, and then opens a series of smaller windows centered at each individual point on the plot and plots a small graph in each window. I've tried pie charts, mosaics and barplots, but the method is not limited to these types.
These days I am extensively using R to scatter plots.
Most of the plotting is concerned with image processing,
Recently I was thinking of plotting the scatter plots over an image.
For example, I want something like this,
The background needs to be filled with my image. With a particular scale.
And I should be able to draw points (co-ordinates) on top of this image ...
Is this possible in R?
If not, do you guys know of any other tool that makes this easy ...
I'm not 100% sure what you have in mind, but I think first you want to load and plot an image in R. You can do that with the ReadImages package:
picture <- read.jpeg("avatar.jpg")
plot(picture)
Then you can do a scatter plot on top of it:
points(runif(50,0, 128), runif(50,0,128))
A step-by-step tutorial to this kind of plotting is in the R-wiki