Using R programming to manage categorial variables or factors using the forcats package
If you're analysing data using R programming then you'll want to learn about the forcats package that can be used to manipulate categorical variables or factors. Data analysis doesn't need to be difficult. If you're learning statistics or data science then get into R programming. This channel is supported by Nested Knowledge - an online platform that supports the entire literature review process. Please do check them out at this link: https://my.nested-knowledge.com/r-pro...
▶︎
Loops using R programming
▶︎
Working with factors and categorical variables. Use forcats in R programming to change factor levels
▶︎
Clean your data with R. R programming for beginners.
▶︎
Data Normalization vs Standardization: What Every Beginner Must Know
▶︎
Using lme4 in R for Mixed Models
▶︎
Introduction to Tidyverse in R - dplyr
▶︎
Explore your data using R programming
▶︎
Why Aliens Would NEVER Invade Africa
▶︎
Using paths in R and why you shouldn't be using setwd (CC179)
▶︎
Factor Variables in R
▶︎
Manipulate your data. Data wrangling. R programmning for beginners.
▶︎
R programming for beginners: using functions and objects in R
▶︎
Factors and the forcats package | Further Data Analysis with R (Lesson 2)
▶︎
The French Do Not Care About Work
▶︎
Train Your Brain to Never Forget (5 Feynman Habits)
▶︎
Amelia McNamara | Working with categorical data in R without losing your mind | RStudio (2019)
▶︎
FIND THE BEST MODEL #R ! 💪 {glmulti}
▶︎
Introduction to R: Decision Trees
▶︎
ANOVA using R programming
▶︎