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This article will explain in detail how to install and use the meta package. The content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Systematic review / Meta analysis refers to a research method that comprehensively collects all relevant studies and strictly evaluates and analyzes them one by one, and then processes the data qualitatively or quantitatively to draw a comprehensive conclusion. There are many kinds of software to realize the statistics of Meta analysis data, but R is the most famous. It can realize many types of Meta analysis, including traditional intervention Meta analysis, diagnostic Meta analysis, mesh Meta analysis, etc., but it deters beginners because of its programming basis. This series aims to share code, communicate code, and help beginners quickly master the method of using R language to realize Meta analysis.

In the previous series, we introduced the download and installation of R software and the basic use of R language:

[r language Learning] Overview of R language and software download and installation

[r language Learning 2] instructions for using RStudio Software

[r language Learning 3] A brief introduction to the Source and usage of R language package

[r language Learning 4] R language coding style Guide

[r language Learning 5] interpretation of Common data structures in R language

[r language Learning 6] A brief introduction to R data Import and Export methods

[r language Learning 7] A brief introduction to the basic data management methods of R language

[r language Learning 8] A brief introduction to the advanced data management methods of R language (1)

Here, we will not elaborate on how to download and install the software, but will focus on how to learn the operation of meta analysis.

First of all, let's talk about how the R language realizes the data analysis of Meta analysis. The reason why R language is widely used has the following advantages:

R is a free software available in Unix, Linux, MacOS and Windows versions, all of which can be downloaded and used for free

R has a wide variety of packages and maintains development and maintenance, which can realize statistical analysis, machine learning, bioinformatics and so on.

Therefore, with the help of R's package "meta", it can help us to realize the data processing of ordinary Meta analysis.

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Install the package

Combined with the brief introduction of the source and usage of the R language package, use the following command to install and load the package.

# install package install packages ("package name") # load using library ("meta") after installation is complete

Next you see the following prompt indicating that you can type help (meta) to view the introduction, which is also the command to view the relevant package help documentation in the R language.

You can see that the meta package is very powerful, and our push will revolve around this.

Text transmission of information is always limited, in order to ensure that beginners can really learn well, really learn R language for Meta analysis, later in the thousand chat room will launch the corresponding video courses, please enjoy looking forward to. You are also welcome to make suggestions on the content of the push!

On how to install and use the meta package to share here, I hope that the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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