It is important to make sure that you have any packages installed that you need to run a given program before you run it.
#Uninstall deeptrawl code
When removing a package removing the code that uses it will help you to avoid getting errors from trying to run nonexistent functions. Because uninstalling a package makes it unusable you need to make sure that you remove any code that uses it. If you are not careful when uninstalling a package, you could find yourself having to deal with error messages if you try to run a program that you used that package in. The package removal process will render the functions defined by the package nonfunctional. The remove packages function usually works quickly and easily.
#Uninstall deeptrawl install
The main reason it often takes longer to install a package than it does to uninstall it is the fact that uninstalling a package does not require the time or process involved in downloading the package and unpacking it for installation. In fact, it often takes less time than it does to originally install the package. If you want to use the functions again you will have to reinstall the package.Īs you can see from the above example, uninstalling a package does not take long. If you load a program that you had previously written using the functions from a package that you have uninstalled you will get error messages. Once you have applied this function to a package that you had previously installed it will no longer be available for use.
This simple function easily uninstalls the selected package. Removing package from ‘C:/Users/ccrea/Documents/R/win-library/3.6’
#Uninstall deeptrawl how to
The help function does more than bring up a list of the functions but includes a link to the help page on each of the functions so that you can learn how to use them. To get a list of the functions in a package use the help function in the form of help(package = name) where “name” is the name of the package you want to look at. You can get a list of the datasets contained in the package by using the data function in the format of data(package=’name’) where “name” is the name of the package you want to look at. Once you have loaded a package into your program you can access its functions and datasets. Because of this, you must add it using the library function with the format of library(name), where “name” is the name of the package being loaded. These dependencies occur because you can always use functions from one package to create new functions to be included with another in a new package.Īfter you have installed the package, it is not automatically included in your program. This ensures that the package you are installing will be fully functional as soon as you have installed it. When you install a package in R, you get more than just that package but any packages that it has a dependency with as well.
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