Rerrange Functional Application

Aug 6th, 2022
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How to rerrange

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In this video tutorial, the presenter discusses the use of the arrange function from the dplyr package to reorder rows in a dataframe, specifically using the iris dataset. The tutorial begins with loading the dataset into a variable and the dplyr library. It demonstrates that the sepal length column is not initially in order. By applying the arrange function, the sepal lengths can be reordered from lowest to highest. Additionally, for descending order, the tutorial introduces the desc() helper function, which, when applied to the column, organizes the data from highest to lowest. The presenter also notes that multiple columns can be included in the arrange function for more complex sorting.

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apply() function apply() takes Data frame or matrix as an input and gives output in vector, list or array. Apply function in R is primarily used to avoid explicit uses of loop constructs. It is the most basic of all collections can be used over a matrice. The simplest example is to sum a matrice over all the columns.
In R Programming Language to apply a function to every integer type value in a data frame, we can use lapply function from dplyr package. And if the datatype of values is string then we can use paste() with lapply.
The package Dplyr in R programming language provides a function called arrange() function which is useful for sorting the dataframe.
The apply() function lets us apply a function to the rows or columns of a matrix or data frame. This function takes matrix or data frame as an argument along with function and whether it has to be applied by row or column and returns the result in the form of a vector or array or list of values obtained.
Sorting in ascending order is the default sorting order in arrange() function.
The arrange() function in R programming is used to reorder the rows of a data frame/table by using column names.
The arrange() function from the dplyr package is used to order the rows of a data frame by the values of selected columns in either ascending or descending order. To use arrange() function, you have to dplyr first using . packages(dplyr) and load it using library(dplyr) .
The dplyr function arrange() can be used to reorder (or sort) rows by one or more variables.
apply() lets you perform a function across a data frames rows or columns. In the arguments, you specify what you want as follows: apply(X = data. frame, MARGIN = 1, FUN = function.
The difference between lapply() and apply() lies between the output return. The output of lapply() is a list. lapply() can be used for other objects like data frames and lists. lapply() function does not need MARGIN.

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