Skip to content

Data Science Tutorials

  • Home
  • R
  • Statistics
  • Course
  • Machine Learning
  • Guest Blog
  • Contact
  • About Us
  • Toggle search form
  • Comparison between Statistics and Luck
    Lottery Prediction-Comparison between Statistics and Luck Machine Learning
  • rejection region in hypothesis testing
    Rejection Region in Hypothesis Testing Statistics
  • Two Sample Proportions test in R
    Two Sample Proportions test in R-Complete Guide R
  • Select the First Row by Group in R
    Select the First Row by Group in R R
  • How to perform TBATS Model in R
    How to perform TBATS Model in R R
  • How to Calculate Ratios in R
    How to Calculate Ratios in R R
  • Autocorrelation and Partial Autocorrelation in Time Series
    Autocorrelation and Partial Autocorrelation in Time Series Statistics
  • How to do Pairwise Comparisons in R?
    How to do Pairwise Comparisons in R? R

Category: R

R for Data Science

Plot categorical data in R

Posted on March 9March 9 By Jim No Comments on Plot categorical data in R
Plot categorical data in R
Tweet
Share
Share
Pin

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…

Read More “Plot categorical data in R” »

R

Ogive Graph in R

Posted on February 26February 26 By Jim No Comments on Ogive Graph in R
Ogive Graph in R
Tweet
Share
Share
Pin

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…

Read More “Ogive Graph in R” »

R

Is R or Python Better for Data Science in Bangalore

Posted on February 25February 25 By Jim No Comments on Is R or Python Better for Data Science in Bangalore
Is R or Python Better for Data Science in Bangalore
Tweet
Share
Share
Pin

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…

Read More “Is R or Python Better for Data Science in Bangalore” »

R

Correlation Coefficient p value in R

Posted on February 24February 24 By Jim No Comments on Correlation Coefficient p value in R
Correlation Coefficient p value in R
Tweet
Share
Share
Pin

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…

Read More “Correlation Coefficient p value in R” »

R

Linear Interpolation in R-approx

Posted on January 16January 16 By Jim No Comments on Linear Interpolation in R-approx
Linear Interpolation in R-approx
Tweet
Share
Share
Pin

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…

Read More “Linear Interpolation in R-approx” »

R

Check whether any values of a logical vector are TRUE

Posted on January 12January 12 By Jim No Comments on Check whether any values of a logical vector are TRUE
Check whether any values of a logical vector are TRUE
Tweet
Share
Share
Pin

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…

Read More “Check whether any values of a logical vector are TRUE” »

R

Load Multiple Packages in R

Posted on December 29December 29 By Jim No Comments on Load Multiple Packages in R
Load Multiple Packages in R
Tweet
Share
Share
Pin

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…

Read More “Load Multiple Packages in R” »

R

OLS Regression in R

Posted on December 20December 20 By Jim 1 Comment on OLS Regression in R
OLS Regression in R
Tweet
Share
Share
Pin

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…

Read More “OLS Regression in R” »

R

Credit Card Fraud Detection in R

Posted on December 19December 19 By Jim 2 Comments on Credit Card Fraud Detection in R
Credit Card Fraud Detection in R
Tweet
Share
Share
Pin

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…

Read More “Credit Card Fraud Detection in R” »

R

How to Perform Bootstrapping in R

Posted on December 17December 17 By Jim No Comments on How to Perform Bootstrapping in R
How to Perform Bootstrapping in R
Tweet
Share
Share
Pin

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…

Read More “How to Perform Bootstrapping in R” »

R

Posts navigation

1 2 … 15 Next
  • About Us
  • Contact
  • Disclaimer
  • Guest Blog
  • Privacy Policy
  • YouTube
  • Twitter
  • Facebook
  • Defensive Programming Strategies in R
  • Plot categorical data in R
  • Top Data Modeling Tools for 2023
  • Ogive Graph in R
  • Is R or Python Better for Data Science in Bangalore

Check your inbox or spam folder to confirm your subscription.

  • Data Scientist Career Path Map in Finance
  • Is Python the ideal language for machine learning
  • Convert character string to name class object
  • How to play sound at end of R Script
  • Pattern Searching in R
  • Top Reasons To Learn R
    Top Reasons To Learn R in 2023 Machine Learning
  • How to Scale Only Numeric Columns in R
    How to Scale Only Numeric Columns in R R
  • Ad Hoc Analysis
    What is Ad Hoc Analysis? Statistics
  • How to create a heatmap in R
    How to create a heatmap in R R
  • How do augmented analytics work
    How do augmented analytics work? R
  • Two-Way ANOVA Example in R
    How to perform a one-sample t-test in R? R
  • How to Analyze Likert Scale Data
    How to Analyze Likert Scale Data? Statistics
  • Correlation Coefficient p value in R
    Correlation Coefficient p value in R R

Copyright © 2023 Data Science Tutorials.

Powered by PressBook News WordPress theme