We can use positive integers to select specific elements. This includes the elements which satisfy the condition while removes those who don’t. Instead of using logical vectors of equal length, we can also use a logical condition. R includes the elements corresponding to TRUE in the index vector and omits the elements corresponding to FALSE. We can use a vector of logical values to index another vector of the same length. Let us look at these different indexing techniques: 1. We can select or omit elements of a vector, by appending an index vector in square brackets to the name of the vector. We use vector indexing to access the elements of a vector. The conversion takes place from lower to higher types. If there is more than one data type, the c() function converts the elements. Vectors only hold elements of the same data type. The c() function can also combine two or more vectors and add elements to vectors. Their type is double while their class is numeric. The numeric class stores values as double-precision floating-point numbers. This is because of the way numeric-class stores a value. Note: The typeof() function returns “double” for numeric values. We can use the typeof() function to find the type of a vector. Character VectorsĬode: > char_vec char_vec 5.
Vectors containing logical values of TRUE or FALSE.Ĭode: > log_vec log_vec 4. Integer VectorsĬode: > int_vec int_vec 3. Numeric VectorsĬode: > num_vec num_vec 2. To create a vector, we use the c() function:Īnother way to create a vector is the assign() function.Ĭode: > assign("vec2",c(6,7,8,9,10)) #creates a vector named vec2Īn easy way to make integer vectors is to use the : operator.Ī vector can be of different types depending on the elements it contains.
There are numerous ways to create an R vector: 1.
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