R for Data Science
Plot categorical data in R, mosaic, and association plots can graphically illustrate the association between two or more categorical variables (such as those data handled by contingency tables and log-linear modeling). We will use a data set from Young and Winn, in which encountered eels were cross-classified according to species and location, to provide graphical…
Ogive Graph in R, An ogive is a graph that displays the proportion of data values in a dataset that is above or below a particular value. The following ogive graph in R is created using the instructions in this tutorial: Ogive Graph in R For instance, make an Ogive graph in R. Let’s first…
Is R or Python Better for Data Science in Bangalore? This, a question that every person who wants to pursue a career in data science has in mind, regardless of how much or little experience they have in the subject. Ever since the demand for data science professionals in every industry has skyrocketed, the topic…
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Correlation Coefficient p value in R, The linear link between two variables can be evaluated using the Pearson correlation coefficient. This correlation coefficient always has a value between -1 and 1, where: -1: A perfect inverse linear correlation exists between two variables. 0: There is no linear link between the two variables. 1: A perfect…
Linear Interpolation in R, You will discover how to use the approx and approxfun interpolation functions in this R tutorial. Two examples of how to use the approx and approxfun functions for interpolation are provided on this page. Let’s get started: Top Data Science Applications You Should Know 2023 (datasciencetut.com) Example 1: Use two coordinates…
Check whether any values of a logical vector are TRUE, this will demonstrate how to utilize all and any R functions in this lesson. Since the R syntax and usage of the two functions are almost identical, I’m going to include them both in this article. Check whether any values of a logical vector are…
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Load Multiple Packages in R, The following example demonstrates how to apply this syntax in practice. Load Multiple Packages in R Loading Multiple Packages in R as an Example The code below demonstrates how to summarise a dataset in R and plot it using three different packages: Dplyr, ggplot2, and ggthemes In this example, we…
OLS Regression in R, OLS Regression is a statistical method used for modeling in the R programming language. Additionally, the examination of linear relationships between a response variable is done using it. A straight line can be used to represent the relationship between the two variables if it is linear. Checking Missing Values in R…
Credit Card Fraud Detection in R, We will learn how to perform credit card detection in this R project. We’ll go over a variety of methods, including Gradient Boosting Classifiers, Logistic Regression, Decision Trees, and Artificial Neural Networks. We will use the Card Transactions dataset, which includes both fraudulent and legitimate transactions, to carry out…
How to Perform Bootstrapping in R, Bootstrapping is a method for estimating the standard error of any statistic and generating a confidence interval for the statistic. The basic bootstrapping procedure is as follows: Take k repeated replacement samples from a given dataset. Calculate the statistic of interest for each sample. These yields k different estimates…
