R is broad and powerful, with many analytic and graphic functions available (more than 20,000). With guidelines and instructions, you can navigate the tremendous resources available in R thereby accomplishing your work with style, elegance and efficiency.
Many people and researchers despise statistics, mainly due to non-mathematical background. This makes understanding complex statistical equations very difficult. The advent of computer programs such as R and the like provides a unique opportunity to teach statistics at a conceptual level without getting too bogged down in equations. However, the downside of the computer is that it makes it easy to err critically if we do not understand what we are doing. Running an analysis using a computer without any statistical knowledge can be really misleading. Hence this course could be called Unearthing the Statistician in You Using R.
•Log in using your existing eCitizen credentials, or create a new account if you do not already have one.
•Click next to start filling in the online application form, in the list of courses, select “Data Analysis Bootcamp Using Open-Access Program R”.
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Understanding and checking statistical assumptions—such as normality and homogeneity of variance—using visualizations, test, and addressing issues through outlier handling, data transformation, or other corrections. pie charts, boxplots, scatterplots—and customizing plots with advanced graphical parameters.
Kenya Medical Research Institute
P.O Box 54840, 00200
Mbagathi Road,
Off Raila Odinga Way
Nairobi, Kenya
Tel: (254) 0202722541/4,
0713112853/4
graduateschool@kemri.go.ke
