Remove rows with missing values using na.omit() in R

Dealing with missing values is a common activity while doing data cleaning and analysis. In R missing values typically represented as NA. Often you might want to remove rows containing missing values in a dataframe or a matrix. In this tutorial we will learn how to remove rows containing missing values using na.omit() function available… Continue reading Remove rows with missing values using na.omit() in R

ls() in R: list objects/variables in your environment

Often while working in R, you might want to check your environments for all the objects you have created and available in your environment. ls() function in R lists the objects in your environment as a vector. In this tutorial, we will learn the use of ls() functions with examples. In addition to ls() function,… Continue reading ls() in R: list objects/variables in your environment

duplicated() function in R: Find duplicated elements in a vector or dataframe

In this tutorial, we will learn about the base R function duplicated() and how can we use duplicated() function to find if an element in a vector is duplicated or a row in a dataframe is duplicated. duplicated() function can take a vector, matrix or a dataframe as input and give us boolean or logical… Continue reading duplicated() function in R: Find duplicated elements in a vector or dataframe

sample() function in R for random sampling

Often while working with some dataset, we would like to randomly select samples. sample() function in base R is one of the most useful functions to get “Random Samples and Permutations” in numerous settings. In this post we will learn how to use sample() function in multiple ways with examples. sample() function to randomize ordered… Continue reading sample() function in R for random sampling

3 Useful Matrix Functions in R: matrix(), is.matrix() and as.matrix()

Matrix is on of the fundamental data structures in R. In this tutorial, we will see three key matrix functions in R, matrix(), is.matrix(), and as.matrix(). These three matrix functions help us create a new matrix from scratch, verify if an object is a matrix or not and convert a dataframe into a matrix. We… Continue reading 3 Useful Matrix Functions in R: matrix(), is.matrix() and as.matrix()

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