"Clear explanations about functions in R and data visualistaion tools to perform statistical tests. Extremely useful to be able to cater the data to our company for examples."
JZ, Executive, R for Life Science Researchers, January 2021
• formatting problems and recommendation for a better formatting (helping following bioinformatics analyses)
• Limitations
• Introduction
• Define the following terms as they relate to R: object, assign, call, function, arguments, options.
• Call functions and use arguments to change their default options.
• Load external data from a .csv file into a data frame.
• Summarize and manipulate the contents of a data frame
• Introduction
• Describe the purpose of the dplyr and tidyr packages.
• Manipulate and reshape data
• Produce scatter plots, boxplots, and time series plots using ggplot package Stats with R:
• How to perform statistical tests in R (for qualitative and quantitative parametric data)
• Introduction
• Brief continuation of stats with R if necessary
• Bring your own data!!!!!!!! Discussion and help.
The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools
This course is aimed at beginners, no prior knowledge is required
"Clear explanations about functions in R and data visualistaion tools to perform statistical tests. Extremely useful to be able to cater the data to our company for examples."
JZ, Executive, R for Life Science Researchers, January 2021
Problem 11 : You have a very complex Excel spreadsheet and you want to reproduce EXACTLY the same spreadsheet in Power BI
Solution: Power BI is not Excel, it works differently and it has different strengths. In order to tackle this issue the best way is going back to the source and try to...
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