droplevels in R with examples
droplevels in R with examples, To remove unneeded factor levels, use R’s droplevels() function. This function comes in handy when we need to get rid of factor levels that are no longer in use...
Reorder Boxplots in R with Examples
Reorder Boxplots in R, you may need to reorder boxplots frequently. The examples below demonstrate how to accomplish it using two distinct methods. Method 1: Reorder based on a predetermined sequence The built-in airquality...
Cumulative Sum calculation in R
Cumulative Sum calculation in R, using the dplyr package in R, you can calculate the cumulative sum of a column using the following methods. Best online course for R programming – Data Science Tutorials...
How to Count Distinct Values in R
How to Count Distinct Values in R?, using the n_distinct() function from dplyr, you can count the number of distinct values in an R data frame using one of the following methods. With the...
Common Misconceptions About Machine Learning
Common Misconceptions About Machine Learning, what is the relationship between machine learning and statistics? Are they distinct fields in their own right? What role do statistics play in machine learning? Is the meteoric ascent...
Count Observations by Group in R
Count Observations by Group in R, want to count the number of observations by the group. Fortunately, the count() function from the dplyr library makes this simple. Using the data frame below, this tutorial...
How to add columns to a data frame in R
How to add columns to a data frame in R?, To add one or more columns to a data frame in R, use the mutate() function from the dplyr package. With the following data...
How to Remove Columns from a data frame in R
Remove Columns from a data frame, you may occasionally need to remove one or more columns from a data frame. Fortunately, the select() method from the dplyr package makes this simple. Remove Rows from...
Remove Rows from the data frame in R
Remove Rows from the data frame in R, To remove rows from a data frame in R using dplyr, use the following basic syntax. Detecting and Dealing with Outliers: First Step – Data Science...
Kappa Coefficient Interpretation Guide
The kappa coefficient, which is used to determine inter-rater reliability or agreement, is explained in this article. The magnitude of kappa is frequently more important in most applications than the statistical significance of kappa....
