How to replace NAs with zero in a dataframe

In this post we will learn how to replace NAs, i.e. missing values with zeros in data frame in R. With tidyr’s replace_na() function, we can replace NAs in specific columns of a dataframe to zero or any other specific value. We will start with learning how to use replace_na() to replace NAs in a… Continue reading How to replace NAs with zero in a dataframe

tidyr unite(): combine multiple columns into one

In this tutorial, we will learn how to use unite() function in tidyr package to combine multiple columns into a single column. By combining , we mean to concatenate the values of two or more columns separated by a delimiter like underscore. We will start with combining two columns into one column using three examples.… Continue reading tidyr unite(): combine multiple columns into one

How to add Prefix/Suffix to Column Names of a dataframe in R

In this tutorial we will learn how to add a prefix or a suffix to column names of a data frame in R. We will use dplyr’s rename_with() function to add prefix/suffix to column names. dplyr’s rename_with() function belongs to another renaming function in dplyr, rename() that is useful. for renaming a individual columns. First,… Continue reading How to add Prefix/Suffix to Column Names of a dataframe in R

How to Measure Running Time in R (with two examples)

Running time in R with Sys.time() and system.time()

In this tutorial, we will learn how to measure execution time in R. We will learn two ways, using Sys.time() and system.time, of measuring execution time in R. Both the methods to measure running time are readily available in base R and do need use any outside R packages. Measuring Execution Time with Sys.time() We… Continue reading How to Measure Running Time in R (with two examples)

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