

19.12 Matrices don’t need to be numeric.19.11.1 Solving linear equation systems.19.11 Applications of matrices in Linear Algebra.19.10 Getting and setting diagonal elements with diag().19.8 Matrix multiplication (the usual one, not elementwise).19.2 Getting and setting matrix dimensions.18.2 \(t\)-test for the difference between two means.18 Box plots, \(t\)-tests and Analysis of Variance.17.5 Combining multiple plots in one figure with mfrow or mfcol.17.2 Changing and restoring graphics parameters.17 Setting base graphics parameters with par().15.8 Application of factors: linear regression with an indicator variable.15.4 R’s internal representation of factors.15.3 Retrieving and changing the levels.14 Basic scatter plots, histograms and simple linear regression.13.2.1 Sorting names in the order of values.13.2 Sorting one vector on the basis of another vector.11.2 Giving names to elements of a vector.11.1 Accessing vector elements by names.9.4 Taking advantage of data conversion in R programming.9.1 Mixing numeric and character elements produces a character vector.8.4.2 Interpreting the results from microbenchmark().

LOAD DATA IN R STUDIO HOW TO
4 How to set the arguments of R functions.

2.3.3 Removing vector elements with a minus sign.2.3 Extracting, removing, replacing and inserting vector elements.2.2.5 Generating a vector of zeros, empty strings or FALSE elements.2.2.4 Use rep() for vectors with repeating elements.2.2.2 Use seq_len(n) for sequences 1, 2, …, n.2.2 Shortcuts for generating commonly needed vectors.2.1.7 All elements in a vector must belong to the same class.
