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Posts published in December 2020

What is Multiple Regression in R?

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R is one of the most important languages in the field of data analysis and analytics, and so the multiple linear regression in R carries importance. It defines the case where a single response variable Y is linearly dependent on multiple predictor variables. What is Multiple Linear Regression? A technique used for predicting a variable result that depends on two or more variables is a multilinear regression. It is also called multiple regression. It is a linear regression extension. The calculated variable is the dependent variable, which is referred to as independent or informative variables in the variables used to predict the dependent variable meaning. Multilinear regression allows researchers to assess the model variance and the relative contribution of each independent variable. Multiple regression is of two forms, linear and nonlinear regression. The general mathematical equation for multiple regression is − y = b + b1x1 + b2x2 +...bnxn Description of the parameters used…

What is Linear Regression in R?

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In this article, you will learn the basics behind a very popular statistical model, the linear regression. What is Linear Regression In statistics, linear regression is a linear approach to modeling the relationship between a scalar response…

Statistical functions in R

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In this article, you’ll learn Statistical functions used in R. We will also be each one of them with an example and various ways to use them for better understanding.…

Resume Writing- Make your resume right

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Writing a flamboyant resume is your first step-towards the paycheck. And, honestly a crucial one! It’s your first impression of the recruiter. And you know, what they say about the…

Functions for data summarization in R?

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People remain uncertain when it comes to summarizing actual data easily in R. There are a variety of choices. So who is the right one? I addressed the query below. At first, you must pick one. And become an expert on this. That’s how you’re going to switch to the next. In this article, I will discuss the primary methods of summarizing data sets. Let’s hope this makes the trip much smoother than it seems. Methods for summarizing data in R apply() Apply function returns a vector or array or a list of values achieved by applying a function to rows or columns. This is the easiest of all the tasks that can do this work. However, this feature is very unique to either row or column collapsing. Usage Arguments Values Description x an array, including a matrix. MARGIN a vector giving the subscripts which the function will be applied over. E.g., for…

WHAT ARE WRITING SKILLS?

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If you are of the view that writing skills are a part of a mere digital marketer or content writers’ bubble, then you are highly mistaken. Gone are those days…

What is Coercion in R?

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R’s coercion behavior may seem inconvenient, but it is not arbitrary. R always follows the same rules when it coerces data types. Once you are familiar with these rules, you…

How to merge objects in R?

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In this article, you’ll learn how to merge objects in R. Merging objects is a very frequently used concept in data analysis. R provides a broad range of capabilities to…

Subsetting R objects.

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R’s subsetting operators are powerful and fast. Mastery of subsetting allows you to succinctly express complex operations in a way that few other languages can match. As an illustration in…

Built-in Constants R

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In this article, you’ll learn about constants in R. And how to use them. Constants, as the name suggests, are entities whose value cannot be altered. Basic types of constant…

Finding and Removing Duplicates in R

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This article explain how to recognise and erase duplicate data in R.  You’ll learn how to use the following R base and dplyr functions: R base functions duplicated() determines which elements of a vector or data frame are duplicates of elements with smaller subscripts, and returns a logical vector indicating which elements (rows) are…

How to save plots in R?

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Since R runs on so many different operating systems, and supports so many different graphics formats, it’s not surprising that there are a variety of ways of saving your plots,…

How to create a Box plot?

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In this article, you’ll learn how to box plot in R. We will also be creating an example plot and will make various changes to the same existing plot for…

How to create a Bar plot?

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A Bar Graph (or a Bar Chart) is a graphical display of data using bars of different heights.They are good if you want to visualize the data of different categories…

7 TYPES OF SOFT SKILLS

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WHAT ARE SOFT SKILLS? Soft Skills are a blend of communication skills, social intelligence, emotional intelligence, social skills, and career attributes. Altogether, they empower a person to work cooperatively with…

WHY DO YOU NEED SOFT SKILLS?

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The gigantic Google company initiated a survey, namely “Project Oxygen” in 2013, to gauge the reverent reasons behind the hire, fire, and promotions of employees. The results came as a…

Hard Skills Vs Soft Skills

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If you are an employer, employee, or job seeker, you would be well-aware of the kind of job descriptions posted on any Job portal or website. What does it require?…

WHAT ARE SOFT SKILLS?

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What sets humans apart from machines is their humanity and emotional quotient. That is the idea of pondering over which human resources- are expected to be proficient in not only…

What is a Factor in R?

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The factors are the variable in R, which takes the categorical variable and stores data in levels. Factors can be ordered or unordered and are an important class for statistical…

What is a list in R?

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One of the most important data structures in R is List. A list is a great tool to store many kinds of objects in the order expected. We can include matrices, vectors…