Mark Liversedge 0f5f44053f Datafilter vectors - smooth()
.. part of a few updates to add some smoothing algorithms to apply
   to vector data, this first one is just a simple moving average.

.. smooth(list, sma, centered|forward|backward, window) will apply
   smoothing to the list. Note that centered doesn't use multiple
   windows when the window size is even, so recommend always using
   an odd number for this parameter.

.. will add ewma and maybe some others over the next few commits.
2020-03-15 20:22:42 +00:00
2018-06-02 11:01:43 +01:00
2020-03-15 16:10:15 +00:00
2015-09-18 08:49:39 +01:00
2020-02-24 09:22:48 +00:00
2020-03-15 20:22:42 +00:00
2020-02-10 11:57:42 +00:00
2019-02-10 16:18:51 +01:00
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2018-06-02 11:01:43 +01:00
2019-03-12 19:16:22 +00:00
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GoldenCheetah

About

GoldenCheetah is an open-source data analysis tool primarily written in C++ with Qt for cyclists and triathletes with support for training as well.

GoldenCheetah can connect with indoor trainers and cycling equipment such as cycling computers and power meters to import data.

In addition, GoldenCheetah can connect to cloud services.

It can then manipulate and view the data, as well as analyze it.

Installing

Golden Cheetah install and build instructions are documented for each platform;

INSTALL-WIN32 For building on Microsoft Windows

INSTALL-LINUX For building on Linux

INSTALL-MAC For building on Apple OS X

OSX: Build Status

Windows: Build status

Coverity Status

Alternatively, official builds are available from http://www.goldencheetah.org

whilst the latest developer builds are available from https://github.com/GoldenCheetah/GoldenCheetah/releases

Languages
Standard ML 68.3%
C++ 28.1%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%