Category: R

Bootstrapping in R

Bootstrapping in R, Inferential statistics employs a technique called bootstrapping that builds random samples of single datasets repeatedly. Calculating sampling metrics like mean, median, mode, confidence intervals, etc. is made possible by bootstrapping. Bootstrapping...

Working with XML Files in R

Working with XML Files in R, Extensible Markup Language, or XML, is composed of markup tags, each of which illustrates the data that an XML file’s specific property carries. With R’s XML package, we...

Hypothesis Testing in R Programming

Hypothesis Testing in R Programming, Hypothesis testing is a statistical method used to determine whether the observed data supports a specific hypothesis or not. In R programming, there are both parametric and non-parametric methods...

How to Find Correlation Coefficient p value in R

How to Find Correlation Coefficient p value in R, linear relationship between two variables can be quantified using the Pearson correlation coefficient. The value of this correlation coefficient is always between -1 and 1,...

How to Create High Quality Tables in R

How to Create High Quality Tables in R, R’s stargazer package can be used to produce high-quality tables suitable for publishing. This example demonstrates how to use the mtcars built-in R dataset to get...

Stacked Barplot in R

Stacked Barplot in R, A stacked bar chart is a type of bar chart that looks at two categorical variables instead of just one when examining numerical data. A stacked barplot is a type...

How to create summary table in R

How to create summary table in R, Using the describe() and describeBy() methods from the psych library is the most straightforward method for creating summary tables in R. How to create summary table in...

How to Perform Data Cleaning in R

How to Perform Data Cleaning in R, To perform data cleaning in R using the examples provided, you can follow these steps: 1. Remove rows with missing values: library(dplyr) df <- data.frame(team=c(‘A’, ‘A’, ‘B’,...

How to Create Frequency Tables in R

How to Create Frequency Tables in R, frequency tables, also known as histograms or bar charts, are a common way to visualize and analyze data. Frequency tables provide a summary of the distribution of...

How to copy files in R

How to copy files in R, copying files is a common task that you may need to perform while working with data. Whether you’re moving files between directories, creating backup copies, or sharing data...

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