# Lesson Archives

1. ## Cluster Analysis Example: Quick Start R Code

This chapter describes a cluster analysis example using R software. We provide a quick start R code to compute and visualize K-means and hierarchical clustering.
2. ## Clustering Distance Measures

In this article, we describe the common distance measures used to compute distance matrix for cluster analysis. We also provide R codes for computing and visualizing distances.
3. ## Data Preparation and R Packages for Cluster Analysis

This chapter introduces how to prepare your data for cluster analysis and describes the essential R package for cluster analysis.
4. ## Compute Summary Statistics in R

This tutorial introduces how to easily compute statistcal summaries in R using the dplyr package. You will learn, how to compute summary statistics for ungrouped data, as well as, for data that are grouped by one or multiple variables.
5. ## Compute and Add new Variables to a Data Frame in R

This tutorial describes how to compute and add new variables to a data frame in R.
6. ## Rename Data Frame Columns in R

You will learn how to rename a data frame columns in R.
7. ## Reorder Data Frame Rows in R

This tutorial describes how to reorder rows, in your data table, by the value of one or more variables. You will learn how to easily sort a data frame rows in ascending and descending orders.
8. ## Identify and Remove Duplicate Data in R

You will learn how to identify and to remove duplicate data using R base and dplyr functions.
9. ## Subset Data Frame Rows in R

This tutorial describes how to subset or extract data frame rows based on certain criteria. Additionally, we'll describe how to subset a random number or fraction of rows. You will also learn how to remove rows with missing values in a given column.
10. ## Select Data Frame Columns in R

You will learn how to select data frame columns by names and position. We’ll also show how to remove columns from a data frame.