R has built-in datasets which can be useful for learning R. Let’s take a look at these.
From RGui, let’s see the packages installed by going to Load package:
We can see datsets and MASS are installed:
From RStudio we can see the same thing:
We can use datasets right away as the library is loaded.
In RGui or RStudio, type in:
data()
This will display the datasets installed in the package.
RGui:
RStudio:
We can see the data in these datasets by typing the dataset name. For example, for the dataset Orange, we can type Orange into the Console:
Using View, we can see the data in a window which allows us to filter the data:
View(Orange)
Filter to age = 484:
This displays the filtered data:
Let’s use the MASS package. Click on MASS to get help on the package:
We can see there are many datasets available, including one called abbey, which shows “determinations of nickel content in a Canadian syenite rock”.:
We can’t simply use this the same way as we did with datasets, where we type in the dataset name, or we get an object not found error:
In this case, we need use library first, then we can use it:
library(MASS)
You may find these datasets useful when you want to try new things with R.
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