I have tick time series data and want to plot a price graph and overlay on it the trade entry and exit points so I can see visually how my trading algorithm is performing.
Does R graphing have this overlay capabilities, or does one need to use gnuplot. Are there any examples anyone can refer me to....thanks!
Yes, you can easily do this in R. See ?points.
Related
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!
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.
I try to receive the data from a sensor from time to time and plot it in real time. That means the length of the dataset is not know before hand. And need to adjust the range of the graph dynamically.
I tried the following
plot(1,10, xlim=range(0,10), ylim=range(0,10), type='n')
points(1,data[1])
points(2,data[2])
But once the number of dots is beyond the range of x axis (10 in this case), the data points are out of the range. How to adjust the range accordingly?
Just issue a new plot command with an expanded range. On modern computers the time taken to recreate the plot is small and you generally will not see a delay. Any other approach will essentially do the same thing, clear the current plot and create a new plot.
The ggplot2 and lattice packages have ways of constructing a plot and updating the plot, but when the updated plot is shown it is redrawn from scratch.
There is a zoomplot function in the TeachingDemos package which will allow you to change the range of a plot, but it also will just redraw the plot from scratch (and due to changes in R 3.0.0 it is not currently working, so if you wanted to use it you would need to go back to R 2.15 or before, or wait for it to be fixed).
You can't adjust the range dynamically (sometimes Excel is better). However, you can keep track of what you've plotted, and redo the plot when you've reached the limit. You could also just make a new plot every time you get more data, which would be a way of faking a dynamic update.
I'm trying to use canvas to build a line graph between 2 date points. I need the date measurements along the bottom of the graph to change based on the start and end date data, which can vary widely between what information is grabbed by the application. Are there any plugins that do this, specifically/dynamically?
There is a huge abundance of chart and graph plotting libraries that can do this, and gRaphaël seems to do what you ask for quite well.
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.