Build the project and check that the vector drawable and corresponding. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. You can change values in the generated code and add XML elements that are supported. > # ALL ELEMENTS OF v GREANTER THAN 14 OR LESS THAN 18 > # ALL ELEMENTS OF v LESS THAN 14 OR GREATER THAN OR EQUAL TO 18 FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE > # all numbers greater than or equal to 18 > # all numbers less than 12 OR greater than 15 > # all numbers greater than 12 AND less than 15 If one wished to extract only the ages that were less than 15, conditional extraction would be a good way to do this. For example, a vector may contain contain all the ages of students in a high school. When using conditional extraction, elements are extracted that meet specific conditions. Note that we are specifying a mean of 5 and a standard deviation of 2 in the following syntax: x1 <- rnorm (100, 5, 2) Apply rnorm function head ( x1) First six random values 1 1.953203 4.430239 7.692162 7.503771 3.428893 2.253762. With index extraction, elements are extracted using location. In the next step, we can draw random values from the normal distribution using the rnorm function. > # Keep only the 1st, 3rd, and 5th numbers > # Keep all values except 1st, 3rd, and 5th numbers > # the second to fifth element of x, inclusive > # Create a variable x, with numbers 11 through 20 As shown below, specific elements of a vector can be extracted by referencing the specific location of a given element or the specific locations of multiple elements. To create the vector, and assing the data to the variable name x, use the following R code:Įlements from a vector can be extracted using numeric indexing. As an example, lets create a simple vector named x consisting of four numbers, namely 13, 21, 23.4, and 7.4. The simplest such structure is the numeric vector, which is a single entity consisting of an collection of numbers.
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