Whatever tool you pick, making a simple data plot will become straightforward once you start learning how it works. Development started in 2016 as fork of SciDAVis 1.D009, which in turn is a fork of QtiPlot 0.9rc-2. The plots can be exported to several bitmap formats, PDF, EPS or SVG. There are also "standalone" plotters like GNUplot, Kst, and PAW (kind of old), and many others - "standalone" in the sense that they aren't really correlated with any particular programming language or tool. Curve fitting can be performed with user-defined or built-in linear and nonlinear functions, including multi-peak fitting, based on the GNU Scientific Library. I don't know all the options out there, those are just some of the ones I'm familiar with. (This is also a good one to get started with, if you're not familiar with any other option.) If you've used Mathematica or Matlab or something along those lines, try plotting using those. If you use C++, try ROOT (it's not quite as bad as it looks). For example, if you use LaTeX to write papers, try PGFplots. Depending on what other tools or programming languages you're familiar with, you might find it easier to start with one particular program or another. SciDAVis is free to use and will carry out the basic analyses we. Fitting data in this way enables us to extract parameters such as IC50 values and thus to compare the efficacy of different compounds in an experimental assay in a quantitative manner. Unless you really think this is the last time you'll be plotting anything, I'd suggest picking a plotting tool and taking the time to get comfortable with it. SciDAVis is a data fitting software package used to fit physically meaningful equations to experimental (assay) data using non-linear regression. No troll, bots, spam, or harassment.ĭo you have a more specific scientific question? Try /r/AskScience Do you have a question on a science-fiction universe? Try /r/AskScienceFiction This subreddit is a subsidiary of AskScience and the same rules of civility apply. Arguments that run counter to well-established scientific concepts may be removed. We are happy to discuss controversial topics, but we expect users to maintain some level of scientific integrity. Sources, especially peer-reviewed, are always helpful and appreciated. Posts and comments that are unrelated to science, promoting pseudoscience or are unscientific in nature will be removed. Help users work through questions they're unsure how to phrase for /r/AskScienceĭiscuss broader questions pertaining to science or scientific fields We also:ĭiscuss reading material or other educational topicsĬontinue tangential discussions that start on /r/AskScience Curve fitting can be performed with user-defined or built-in linear and nonlinear functions, including multi-peak fitting, based on the GNU Scientific Library. r/AskScienceDiscussion is the place to ask any question you have about being a scientist, what's new in a field, or what's going to happen in a field. Welcome to /r/AskScienceDiscussion, help the subreddit grow by subscribing!
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