By putting all of this historical data into perspective, you can generate estimates for what you’ll need to sustain the growth of your website. Outside of those rare bursts and spikes of load on your system, the long-term view is hopefully one of steadily increasing usage. It’s also the art of slicing and dicing up your historical data, and making educated guesses about the future. But let’s stop here for a moment to remember an irritating little detail: it’s impossible to accurately predict the future.įorecasting capacity needs is part intuition, and part math. Now you’ll be able to use this data (excluding the barking statistics) like a crystal ball, and predict the future like Nostradamus. You probably didn’t gain anything from graphing the peak barking periods of your neighbor’s dog-but hey, you did it, and I’m proud of you. You’re graphing everything you can get your hands on, as often as you can. There are also people using it on MacOS X (have a look at the fityk-users mailing list archives for details).I’M ASSUMING YOU’VE MADE A FEW PASSES THROUGH Chapter 3 AND HAVE JUST DEPLOYED A SUPER-AWESOME, totally amazing, monitoring, trending, graphing, and measurement system. The GUI version is written using the wxWidgets library and can be run on Unix species with GTK+ and on MS Windows. Data and curves fitted to data are visualized with gnuplot (if it is installed). If the CLI version was compiled with the GNU Readline Library, command line editing and command history as per bash will be available. GUI vs CLI The program comes in two versions: the GUI (Graphical User Interface) version - more comfortable for most users, and the CLI (Command Line Interface) version (named cfityk to differentiate, Unix only). Remember that you must set correctly standard deviations of y's of points, otherwise you will get wrong results. In case you are not familiar with the term weighted sum of squared residuals or you are not sure how it is weighted, have a look at the section called “Nonlinear optimization ”. If you are using the GUI version you can look at the screenshots-based tutorial (in preparation) and postpone reading Chapter 3, Reference until you need to write a script, put constraints on variables, add user-defined function or understand better how the program works. How to read this manual After this introduction, you may read the Chapter 2, Getting started. To contact the author, visit the same page. You can download the latest version of fityk from or. Fityk is free software you can redistribute and modify it under the terms of the GPL, version 2. the width of a peak can be an independent variable, the same as the width of another peak, or can be given by complex (and general for all peaks) formula. The main advantage of the program is flexibility - parameters of peaks can be arbitrarily bound to each other, e.g. Fityk offers various nonlinear fitting methods, simple background subtraction and other manipulations to the dataset, easy placement of peaks and changing of peak parameters, support for analysis of series of datasets, automation of common tasks with scripts, and much more. Although the author has a general understanding only of experimental methods other than powder diffraction, he would like to make it useful to as many people as possible. It is reportedly used in crystallography, chromatography, photoluminescence and photoelectron spectroscopy, infrared and Raman spectroscopy, to name but a few. There are also people using it to remove the baseline from data, or to display data only. The most concise description: peak fitting software. Introduction What is the program for Fityk is a program for nonlinear fitting of analytical functions (especially peak-shaped) to data (usually experimental data). 20 How to add your own built-in function. 6 Functions and variables in data transformation.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |