In the previous chapter, you saw that list output contains indices within double square brackets. That's good, but wouldn't it be better if we had names instead of indices? Indeed, it would.

There are two ways to set names on list elements. The first is used in the process of list creation. Within `list()` function use `name = values` equalities (name should be used without quotes). For example, let's rewrite the previous example with names.

# Creating a list
test <- list(text = "Text", number = 42, logical = TRUE)
# Output list value
test

That's much better! The second way is to set names for the already created list. Assign a vector of names to `names(list)` function. For example,

# Creating a list
test <- list("Text", 42, TRUE)
# Setting names to elements
names(test) <- c('text', 'number', 'logical')
# Output list value
test

In the second part of R Introduction, you will learn about multi-dimensional built-in structures, such as matrices, data frames, and lists.

In the first section, you will learn the two-dimensional structure that is widely used in math. In R, this data type is used not only for math purposes but also has many real-life purposes.

In the second section, you will learn data frames - an 'upgraded' version of the matrix. Unlike matrix, the data frame may contain data of different types. Most real-life tables can be represented as data frames. You will learn how to create/manipulate data frames and extract necessary data.

In the final section, you will learn the lists in R. This data type works as vectors but may contain data of different types.

R Introduction: Part II

Namings

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R Introduction: Part II

Namings

Завдання