Category: R

How to Calculate Percentage by Group in R

How to Calculate Percentage by Group in R, In data analysis, understanding the distribution and proportions of data within different groups is essential for making informed decisions. Calculating percentages by group in R allows...

Return the corresponding value of Cauchy density in R

Return the corresponding value of Cauchy density in R, You will discover how to use the Cauchy functions in this R tutorial. There are four applications of dcauchy, pcauchy, qcauchy, and rcauchy on this...

Multi-Line Comment in R

Multi-Line Comment in R, Highlighting the text and pressing Ctrl + Shift + C in RStudio is the simplest way to make a multi-line remark. Simply highlight the text once more and press Ctrl...

How to check regression analysis heteroscedasticity in R

How to check regression analysis heteroscedasticity in R, To check for heteroscedasticity in a regression analysis, utilize the Breusch-Pagan test. How to check regression analysis heteroscedasticity in R Using the built-in R dataset mtcars,...

How to Visualize PCA Results in R

How to Visualize PCA Results in R, An unsupervised machine learning technique called principal components analysis (PCA) looks for primary components that account for a significant amount of the variation in a dataset. A...

In data science, what Is Open Innovation?

In data science, what Is Open Innovation?, The term “open innovation” is used to advocate for an alternative and open perspective towards invention that contrasts with the secrecy and conventional mentality of corporate R&D...

How to perform Rolling Average in R

How to perform Rolling Average in R, A rolling average in time series analysis represents the average value over a predetermined number of prior periods. Using the rollmean() function from the zoo package in...

Sampling from the population in R

Sampling from the population in R, Imagine you were requested to contribute to the creation of a travel guideline for New York City-based business travellers. Imagine that the traveller will be meeting at the...

Dynamic data visualizations in R

Dynamic data visualizations in R, Plot.ly specializes in dynamic data visualizations online and has a particular aptitude for translating R, Python, and other data processing tools’ code to produce data graphics. The plotly.js javascript...

ggplot2 scale in R (grammar for graphics)

ggplot2 scale in R, due to the right-skewed distribution and selection of a linear scale in ggplot2, it is challenging to distinguish disparities in GDP. Read previous post… g+geom_point(aes(color=net_users,size=roadways)) g+geom_point(aes(color=net_users,size=roadways))+coord_trans(y=”log10″) In the latter, the...

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