Git Product home page Git Product logo

openmee's Introduction

OpenMEE

OpenMEE

To run OpenMEE from source, you'll need to install the corresponding dependencies.

You'll need to install the necessary R packages. First install the dependencies:

From within a (possibly) sudo-ed R session type:

> install.packages(c("metafor","lme4","MCMCpack","igraph", "ape", "mice", "Hmisc"))

Next, you'll need to build and install the openmetar packages and altered HSROC (NOT THE ONE FROM CRAN) package and install them. For now, these packages are located in the OpenMetaAnalyst Repository. These package are distributed with the source (NOT the OpenMEE source; the OpenMetaAnalyst source!) under the "src/R" directory of the OMA repository.

> R CMD build HSROC
> R CMD build openmetar
> sudo R CMD INSTALL HSROC_2.0.5.tar.gz
> sudo R CMD INSTALL openmetar_1.0.tar.gz

Once R is setup for OpenMeta, you'll need to install Python (we use 2.7) and the necessary libraries. You'll need PyQT (and QT: see http://www.riverbankcomputing.co.uk/software/pyqt/intro) installed -- we use PyQt 4.9; your mileage may vary with other versions.

Next, install rpy2 (rpy.sourceforge.net/rpy2.html) in Python. Verify that all is well by executing:

> import rpy2
> from rpy2 import robjects 

At the Python console.

That should be all you need. Once everything is setup, you can launch the program by typing:

> python launch.py

At the console. This should fire up the GUI.

important dependency versions: R : 3.0.1 (2013-05-16) -- "Good Sport" metafor: 1.6.0 pyqt4 : 4.10.1

Unit tests

See https://github.com/gdietz/OpenMEE/wiki/Unit-Testing.

使用指南: 1.若需要使用请引用此文献 Wallace, B. C., Lajeunesse, M. J., Dietz, G., Dahabreh, I. J., Trikalinos, T. A., Schmid, C. H. and Gurevitch, J. (2017), OpenMEE: Intuitive, open-source software for meta-analysis in ecology and evolutionary biology. Methods Ecol Evol, 8: 941–947. image

2.优缺点:旋钮软件;作图差且无法数据嵌套

3.数据读入,路径非中文,读入后写入ID

openmee's People

Contributors

gdietz avatar bwallace avatar zxx-nwafu avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.