Category: R

Creating Relative Frequency in R

Creating Relative Frequency in R, also known as frequency tables, are an essential tool in data analysis. They help us understand the distribution of data in a dataset by providing the number of occurrences...

Three-Way Tables in R

Three-Way Tables in R:- Three-way tables are essential tools in data analysis, allowing us to examine the relationship between three categorical variables. In R, creating three-way tables is a straightforward process, thanks to the...

Calculating Conditional Probability in R

Calculating Conditional Probability in R, Conditional probability is a crucial concept in statistics and probability theory. It allows us to update our beliefs about the likelihood of an event occurring based on new information....

Normal Distribution in R

Normal Distribution in R, also known as the Gaussian distribution, is a probability distribution that is frequently used in statistics and probability theory to describe continuous random variables. It has a bell-shaped curve, which...

Confidence Intervals in R

Confidence Intervals in R, A Confidence Interval (CI) is a statistical tool used to estimate the range within which a population parameter, such as the mean or standard deviation, is likely to reside. It...

Normal Probability Plot in R

Normal Probability Plot in R, also known as a Quantile-Quantile (Q-Q) Plot, is a valuable tool for visually assessing whether a given dataset follows a standard normal distribution. When the data aligns with a...

Type II Error in R

Type II Error in R, we will discuss the concept of Errors in Hypothesis Testing, explore the different types of errors that may arise during this process, and learn how to calculate them. Hypothesis...

Difference between sort and order in R

Difference between sort and order in R, both “sort()” and “order()” functions are used to arrange data in ascending or descending order. Group By Minimum in R ยป Data Science Tutorials Syntax order(x, #...

Group By Sum in R

Group By Sum in R, the group_by() function is a powerful tool that allows you to split your data into groups based on specific variables or columns. Once the data is grouped, you can...

Group By Minimum in R

Group By Minimum in R, the GROUP BY clause is used in combination with aggregate functions such as MIN(), MAX(), SUM() etc. to group rows that have the same value or similar values into...

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