For Data Science Learners
Extract values from vector in R, we will delve into extracting specific values from a vector using the nth, first, and last functions from the dplyr package in R programming language. The article is structured into four examples that demonstrate the extraction of vector elements. Extract patterns in R? ยป Data Science Tutorials Extract values…
Filtering for Unique Values in R, Using the dplyr package in R, you may filter for unique values in a data frame using the following methods. Method 1: In one column, filter for unique values. df %>% distinct(var1) Method 2: Filtering for Unique Values in Multiple Columns df %>% distinct(var1, var2) Method 3: In all…
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Mastering R Programming for Data Science: Tips and Tricks, As data science continues to evolve, the demand for R programming skills has become a necessary tool for data professionals to extract insights from data rapidly. R is a powerful language that offers a wide range of tasks, including statistics, visualization, and machine learning. Mastering R…
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Calculating the correlation between two variables by group in R is a powerful technique that allows you to analyze the relationships between variables within specific groups. In this article, we will explore how to use the dplyr package to calculate the correlation between two variables by group. Basic Syntax The basic syntax to calculate the…
Filter a Vector in R is a fundamental skill that can be applied to a wide range of data analysis tasks. In this article, we’ll explore four different methods for filtering a vector in R, along with practical examples. Method 1: Filter for Elements Equal to Some Value The first method involves filtering a vector…
Split a Vector into Chunks in R can be a useful technique for manipulating and analyzing data. In this article, we’ll explore how to use the split() function in R to split a vector into chunks. Basic Syntax:Split a Vector into Chunks in R The basic syntax for splitting a vector into chunks in R…
Run a specific code block in R, We will cover the basic syntax and definitions of the switch function, as well as two examples of how to apply it. Definition and Basic R Syntax The switch function in R runs a specific code block and returns its result. The basic syntax is: switch(select_block, “code_block_1”, “code_block_2”,…
Extract certain rows of data set in R, we will learn how to extract specific rows of a data set using the slice function of the dplyr package in R. This function is useful when you need to extract specific rows of a large data set and perform further analysis on those rows. Creation of…
Select variables of data frame in R, we will learn how to use the select and rename functions of the dplyr package to select and rename variables in R. We will use the dplyr package to manipulate a data frame, which is a fundamental data structure in R. The tutorial consists of two examples that…
Extract columns of data frame in R, The pull() function in R’s dplyr package allows users to extract columns from a data frame or tibble. Extract columns of data frame in R This article provides two examples of how to apply the pull() function with variable names and indices. We will also cover the necessary…
