Identifying outliers is essential part while analyzing data since they significantly affect a statistical model. This inclusive tutorial covers four tests for detection of outliers. Find out how to test for identifying outliers in R.
Continue readingMonth: February 2022
Recent Posts
- How to Sort a Data Frame by Single and Multiple Columns in R
- How to Remove Outliers from Data in R
- How to Test for Identifying Outliers in R
- 16 Different Methods for Correlation Analysis in R
- One-way ANOVA for Non-normal and Non-homogeneous Data with Box-Cox Transformation in R
- How to Determine If Data are Unimodal or Multimodal in R
- Heteroscedastic ANOVA Tests in R
- Box-Cox Transformation for Normalizing a Non-normal Variable in R
- How to Change Legend Place in ggplot2
- How to Round Data Frame Containing Character Variables in R
- Feature Selection and Classification via GMDH Algorithm in R
- Two Sample Independent Tests in R
- Loops in R – for, while, repeat
- Variance Homogeneity Tests in R
- How to Assess Normality in R
Jobs for Data Scientist
- Internship_Information Management and Data Science
- Assistant (Data Management), Support Team, Procurement and Travel Division, Administration, Finance and Management Sector
- ** Gender and Crisis Data Analysis Specialist
- Data Science/Natural Language Processing Specialist - IPSA 10
- Data Science/ML Analyst - IPSA 9