Logical Indexing Use at Douglas Hairston blog

Logical Indexing Use. Suppose x is an ordinary matrix and l is a matrix of the same size that is the result of some logical operation. Suppose i have an array of integers, not sorted, and want to find the ones that are less than a certain number. As an alternative to indexing an array by x[idx] where idx is an array of integers, logical indexing allows for the syntax x[choose] where choose. Logical operators such as less than (<), greater than (>), equal to (==), and not equal to (~=); Perform a comparison between two values. Specifically, given a grayscale image and a binary. Here's an example showing how to use logical indexing to compute the histogram of a subset of image pixels.

R Arrays A Comprehensive Guide to Array with Examples TechVidvan
from techvidvan.com

Suppose i have an array of integers, not sorted, and want to find the ones that are less than a certain number. Specifically, given a grayscale image and a binary. Suppose x is an ordinary matrix and l is a matrix of the same size that is the result of some logical operation. Logical operators such as less than (<), greater than (>), equal to (==), and not equal to (~=); Here's an example showing how to use logical indexing to compute the histogram of a subset of image pixels. Perform a comparison between two values. As an alternative to indexing an array by x[idx] where idx is an array of integers, logical indexing allows for the syntax x[choose] where choose.

R Arrays A Comprehensive Guide to Array with Examples TechVidvan

Logical Indexing Use As an alternative to indexing an array by x[idx] where idx is an array of integers, logical indexing allows for the syntax x[choose] where choose. Suppose x is an ordinary matrix and l is a matrix of the same size that is the result of some logical operation. Here's an example showing how to use logical indexing to compute the histogram of a subset of image pixels. Logical operators such as less than (<), greater than (>), equal to (==), and not equal to (~=); Specifically, given a grayscale image and a binary. Perform a comparison between two values. Suppose i have an array of integers, not sorted, and want to find the ones that are less than a certain number. As an alternative to indexing an array by x[idx] where idx is an array of integers, logical indexing allows for the syntax x[choose] where choose.

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