What are the best machine learning packages in R?

Top 12 R Packages For Machine Learning In 2020

• 1| Classification And Regression Training (Caret)
• 2| DataExplorer.
• 3| Dplyr.
• 4| Ggplot2.
• 5| kernLab.
• 6| MICE Package.
• 7| mlr3.
• 8| Plotly.

How do you rank data in R?

The ranking of a variable in an R data frame can be done by using rank function. For example, if we have a data frame df that contains column x then rank of values in x can be found as rank(df$x).

What package is data table in R?

frame package
Data. table is an extension of data. frame package in R. It is widely used for fast aggregation of large datasets, low latency add/update/remove of columns, quicker ordered joins, and a fast file reader.

How does R calculate percentile rank?

You can use ‘percent_rank’ function to get the percentile calculation. In Exploratory, you can simply select ‘Create Window Calculation’ -> ‘Rank’ -> ‘Percent Rank’ from the menu of ‘numbers_per_k’ column in this case. Once you run it, the calculation is done for each row.

What is the difference between order and rank in R?

The rank function gives the rank of the values in a vector if the vector is sorted but in the same sequence as the original vector and the order function gives the position of the original value in the vector but in the sequence of the sorting in ascending order.

How many packages are there in R programming?

R is distributed with fourteen “base packages”: base, compiler, datasets, grDevices, graphics, grid, methods, parallel, splines, stats, stats4, tcltk, tools, and utils.

What is the list in R?

A list is an object in R Language which consists of heterogeneous elements. A list can even contain matrices, data frames, or functions as its elements. The list can be created using list() function in R. Named list is also created with the same function by specifying the names of the elements to access them.