Regression Analysis of Research Data using R Programming
By: Rimal, Yagyanath
.
Publisher: New Delhi STM Journals 2019Edition: Vol.6(2), May-Aug.Description: 42-50p.Subject(s): Computer EngineeringOnline resources: Click here
In:
Recent trends in programming languagesSummary: The goal of the review paper is discussing the relationship between various types of regression analysis whose output was sufficiently analyzed using R programming. The primary purpose of this paper is to explain the relationship of linear, multiple, quantile and polynomial regression models to achieve final conclusion with different data sets. Therefore, this paper presents the easiest way of regression analysis commands and R programming strengths for of data analysis.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
|
School of Engineering & Technology Archieval Section | Not for loan | 2020077 |
Total holds: 0
The goal of the review paper is discussing the relationship between various types of regression analysis whose output was sufficiently analyzed using R programming. The primary purpose of this paper is to explain the relationship of linear, multiple, quantile and polynomial regression models to achieve final conclusion with different data sets. Therefore, this paper presents the easiest way of regression analysis commands and R programming strengths for of data analysis.
Click on an image to view it in the image viewer
There are no comments for this item.