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This article explains how to compute the main descriptive statistics in R and how to present them graphically. To learn more about the reasoning behind each descriptive statistics, how to compute them by hand and how to interpret them, read the article “Descriptive statistics by hand”.
There are two functions we can use to calculate descriptive statistics in R: Method 1: Use summary() Function. summary(my_data) The summary() function calculates the following values for each variable in a data frame in R: Minimum; 1st Quartile; Median; Mean; 3rd Quartile; Maximum; Method 2: Use sapply() Function. sapply(my_data, sd, na. rm = TRUE)
What is Descriptive Statistics? Descriptive statistics is all about exploring the descriptive statistical measures of the data at hand. For example mean, mode, median, quantiles, and percentiles.
Descriptive statistics are used to summarize data in a way that provides insight into the information contained in the data. This might include examining the mean or median of numeric data or the frequency of observations for nominal data. Plots can be created that show the data and indicating summary statistics.
This guide will focus on descriptive analysis in R and touch on some basic data cleaning prior to your analysis.
This article explains how to compute the main descriptive statistics in R and how to present them graphically. To learn more about the reasoning behind each descriptive statistics, how to compute them by hand and how to interpret them, read the article “Descriptive statistics by hand”.
Learn how to obtain descriptive statistics in R using functions like sapply, summary, fivenum, describe, and stat.desc for mean, median, quartiles, min, max, and more.
Together, we’ll delve into the fundamental concepts of descriptive statistics, equipping you with the skills to decipher your data’s stories and uncover the hidden patterns that lie beneath the surface.
Descriptive statistics in R refers to the process of summarizing, organizing and describing a data set to understand its fundamental characteristics and patterns.
In this tutorial I will be going over how to create a descriptive statistics report in R for a complete dataset or samples from within a dataset. We’re going to show you a couple of different approaches to how to find descriptive statistics in r, using functions from both base R and specialized packages.