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R for Data Science
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 perform various operations on these groups, such as calculating summary statistics or aggregating values. One such operation is the sum() function,…
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 summary rows. This allows you to perform calculations on the grouped data instead of on the entire dataset. The GROUP BY…
Group by Mzximum In R programming, the group_by() function is used to group data based on one or more variables. The max() function, on the other hand, returns the maximum value in a vector or array. In this article, we will learn how to use the group_by() and max() functions together in R to find…
How to deal with text in R, It is possible to handle data more efficiently and effectively by adhering to tidy data standards, and processing text is no exception. According to Hadley Wickham’s description (Wickham 2014), tidy data follows a particular structure: Thus, a table with one token per row is our definition of the…
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 in R The steps involved in bootstrapping using the R programming language are as follows: The future of Data Science: Predictions…
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 for hypothesis testing. Parametric methods assume that the data follows a specific distribution, such as normal distribution, while non-parametric methods do…
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, where: -1: A linear correlation between two variables that is perfectly negative0: The pair of variables do not correlate linearly.+1: The…
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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 of chart used to display the composition of a whole or total value in terms of its parts. It is created…
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 R To create summary tables in R using the `psych` library, you can follow these steps: 1. Basic Summary Table: library(psych)…
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 with others, R provides several functions to help you efficiently copy files. In this tutorial, we’ll explore how to copy files…
