![]() Let's have a look at how the data looks like. My_data <- read.csv(textConnection(m圜sv), dec = ",") Also we want to check whether those differences are affected by other factors such as the age of the subjects, the year of publication or the cognitive test used. The aim of the present meta-analysis is to investigate differences in cognitive performance between healthy controls and patients. The data represents cognitive performance of patients and healthy controls in a number of different tests. Thus the RCurl package is used in order to load the data from google drive into R. I created a fictional data set for this tutorial. Introduction to the package please type: help(metafor). Loading 'metafor' package (version 1.8-0). Let's beginn with some R basics: # define a numerical variable 'x' In a few guided examples, we are loading some data, calculating effect sizes and conducting a meta-analysis of a fictional data set. This brief tutorial should help you with the first steps in R. Tutorial: Running meta-analysis in R using the metafor package Tutorial: Running meta-analysis in R using the metafor package
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