In this tutorial, we will learn 3 different ways to convert a list object into a dataframe in R. First we will show how to use the base R function as.data.frame() to convert a list to a dataframe. Then we will show examples using map_df() function in purrr package in tidyverse … [Read more...] about How to convert a list to a dataframe
rstats101
runif()- generate uniform random numbers
One way to generate uniformly distributed numbers in R is use the runif() function. runif is short for “random uniform”. R has other random number generating functions. For example rnorm generates random normal numbers. runif() takes three arguments, thrst is n - number of … [Read more...] about runif()- generate uniform random numbers
How to Find difference between two dates as days, weeks, months and years
In this tutorial we will learn how to find the difference between two date objects in R in terms of days, months, and years. We will learn how to use time_length() function available in tidyverse as part of lubridate package to get the difference as dyas, weeks, months, and … [Read more...] about How to Find difference between two dates as days, weeks, months and years
dplyr’s anti_join() to find rows based on presence or absence in a dataframe
In this tutorial, we will learn how to use dplyr's anti_join() function to filter rows from one dataframe based on the presence or absence of matches in another dataframe. dplyr's anti_join() function is extremely useful for cases when we want to find what row is present or … [Read more...] about dplyr’s anti_join() to find rows based on presence or absence in a dataframe
How to select rows with multiple partial matching strings
In this tutorial, we will learn how to select or filter rows of a dataframe with multiple partially matching strings. dplyr's filter() function selects/filters rows based on values of one or more columns when it completely matches. However, if you want to select rows with … [Read more...] about How to select rows with multiple partial matching strings