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The across( ) function in R programming. A tidyverse function to make cleaning data easy.
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Classroom Contents
Data Manipulation with R Programming - Tidyverse and Dplyr for Beginners
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- 1 Manipulate your data. Data wrangling. R programmning for beginners.
- 2 Describe and Summarise your data
- 3 R programming for beginners. Manipulate data using the tidyverse: select, filter and mutate.
- 4 R programming for beginners: Rename variables and reorder columns. Data cleaning and manipulation.
- 5 Recoding data using R programming. Using the tidyverse and dplyr packages to create a new variable
- 6 10 data filtering tips using R programming. Use the tidyverse to filter and subset your data.
- 7 Data types in R programming
- 8 Explore your data using R programming
- 9 R programming in one hour - a crash course for beginners
- 10 Working with factors and categorical variables. Use forcats in R programming to change factor levels
- 11 Group by and Summarise functions in R programming - use the tidyverse package to wrangle your data
- 12 Separate and Unite - manipulate your data with R programming
- 13 Using R programming to manage categorial variables or factors using the forcats package
- 14 Loops using R programming
- 15 Lubridate - how to manipulate date and time data in R
- 16 Handling Missing Data and Missing Values in R Programming | NA Values, Imputation, naniar Package
- 17 Conditional Statements in R: if_else() and case_when() Functions
- 18 Manipulate and clean your data in R with the dplyr package
- 19 The across( ) function in R programming. A tidyverse function to make cleaning data easy.
- 20 Importing data from excel into R studio
