holorefa.blogg.se - Rstudio ifelse

#Rstudio ifelse how to#

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().8.4.1 Installing and loading packages in R.8.4 Measuring run-times with the microbenchmark package.8.3 Why do run-times depend so much on details of the implementation?.8.2 Measuring run-times with system.time().7.4 Use break to terminate any kind of loop.7.2.3 Example of a while-loop in a realistic application.7.1.5 Don’t forget to initialize variables before the loop.7.1.4 Use seq_along() to loop over the indices in a vector.

7.1.3 Why should we use seq_len(n) instead of 1:n?.

7.1.2 The value of the iterator after and during a for-loop.

4.4 Mixing positional matching with matching by names.

#Rstudio ifelse 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.