For most analyses, a large proportion of the code is used to import, reformat and clean the data, and only a small portion is used to run the statistical tests. Despite this, university courses tend to focus on statistical analyses Continue reading Introducing dplyr for data manipulation in R
When data are imported into R it generally arrives as a data.frame, a type of object that contains named columns. We often want to access the contents of each column which can be done with the dollar or square-bracket notation. Continue reading Don’t get attached to attach()
Importing data is one of those things that is often much more effort that it should be. It is often convenient to enter data into excel, but this then needs to be imported into R. There are several ways to Continue reading Importing excel data into R
Here is a guide for the kind of person who needs to get their data into R and have never done so or are struggling to get their data to load. I’ve tried to explain using simple words and lots Continue reading Never used R? Loading your data for the first time.
In Friday’s codeRclub, we had a problem which involved finding the row and column names for items in a matrix greater than a specified value (e.g. finding the names of the pairs of samples in a correlation matrix with correlation Continue reading Finding the row and column names of a matrix