How is the Rename function used in dplyr?
The code below keeps variable ‘State’ in the front and the remaining variables follow that. It is used to change variable name. The rename function can be used to rename variables. In the following code, we are renaming ‘Index’ variable to ‘Index1’. It is used to subset data with matching logical conditions.
How can I download a dataset in dplyr?
To download the dataset, click on this link – Dataset and then right click and hit Save as option. This dataset contains 51 observations (rows) and 16 variables (columns). The snapshot of first 6 rows of the dataset is shown below.
How to create and delete columns in dplyr?
Existing columns will be preserved according to the .keep argument. New columns will be placed according to the .before and .after arguments. If .keep = “none” (as in transmute () ), the output order is determined only by …, not the order of existing columns.
What is the minus sign before a variable in dplyr?
The minus sign before a variable tells R to drop the variable. The starts_with () function is used to select variables starts with an alphabet. The following functions helps you to select variables based on their names. Numerical range like x01, x02, x03. Variables in character vector. All variables.
Can You Copy X and Y in dplyr?
x and y don’t have to be tables in the same database. If you specify copy = TRUE, dplyr will copy the y table into the same location as the x variable. This is useful if you’ve downloaded a summarised dataset and determined a subset of interest that you now want the full data for. You can use semi_join (x, y]
How to use or / and in dplyr to subset data?
You could use subset () and [ as well. Here are some different methods and their respective benchmarks on a larger data set.
How to use dplyr to work with remote databases?
That means as well as working with local data frames, you can also work with remote database tables, using exactly the same R code. Install the dbplyr package then read vignette (“databases”, package = “dbplyr”). If you are new to dplyr, the best place to start is the data import chapter in R for data science.
How does dplyr abstract over how data is stored?
dplyr is designed to abstract over how the data is stored. That means as well as working with local data frames, you can also work with remote database tables, using exactly the same R code. Install the dbplyr package then read vignette (“databases”, package = “dbplyr”).