Create contingency tables in R, Contingency tables are helpful for condensing a huge number of observations into smaller, more manageable tables. We’ll learn about contingency tables and how to make them in this R tutorial. Complex/flat tables, cross-tabulation, and recovering original data from contingency tables will all be covered. As you can see, this course…
In this lesson, we’ll look at how to integrate R with Hadoop. For Big Data analysis, we’ll show you a variety of R and Hadoop integration strategies. When it comes to large data, R is the go-to tool for data scientists and analysts. It may be ideal for many data science jobs, but when it…
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Detecting and Dealing with Outliers, We’re going to look a little bit more at these mammals’ sleep data. Let’s take a summary of them. library(mice) summary(mammalsleep) species bw brw African elephant : 1 Min. : 0.005 Min. : 0.14 African giant pouched rat: 1 1st Qu.: 0.600 1st Qu.: 4.25 Arctic Fox : 1 Median…
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Dealing With Missing Values in R, one of the issues is that when you have a large matrix of data and some of the columns have a few missing values, it might be difficult to work with. Checking Missing Values in R – (datasciencetut.com) You won’t be able to perform a lot of multivariate or…
Checking Missing Values in R, we’ll undertake data wrangling, which is the pre-processing and preparation of data. In fact, practicing data science will consume more than 70% of your time. We’ll only look at a few of the most important commands to make things as simple as possible. However, you will devote a significant amount…
Best GGPlot Themes, This tutorial covers everything you need to know about the greatest ggplot2 themes, including. How to use the built-in ggplot2 themes to change the appearance of plots. How to change the appearance of plots using the ggthemes library’s predefined themes. How to change the plot panel background and gridlines, as well as…
Descriptive statistics vs Inferential statistics: In the field of statistics, there are two primary branches, Descriptive Statistics Inferential Statistics Descriptive statistics vs Inferential statistics The differences between the two branches are explained in this tutorial, as well as why each is helpful in certain scenarios. Descriptive Statistics In a word, descriptive statistics seeks to use…
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Quantiles by Group calculation in R, Quantiles are numbers in statistics that divide a ranking dataset into equal groups. In R, we can use the following functions from the dplyr package to calculate quantiles grouped by a certain variable. library(dplyr) Identify the quantiles that you’re interested in. q<-c(0.25, 0.5, 0.80) Quantiles are calculated by grouping…
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Multinomial Distribution in R, when each result has a given probability of occurring, the multinomial distribution describes the likelihood of obtaining a specific number of counts for k different outcomes. A statistical experiment with n repeated trials is known as a multinomial experiment. There are a finite number of possible outcomes in each trial. The…
Get the first value in each group in R, Knowing the first, last, or nth value in the group can be important at times. With the help of various examples, we will look at how to retrieve the initial value for each group in this article. The aggregate() or group by() functions in R can…
