1. Write a R program to create an empty data frame.
d <- data.frame(nombre = character(), edad = integer(), boolean = logical())
d## [1] nombre edad boolean
## <0 rows> (o 0- extensión row.names)2. Write a R program to create a data frame from four given vectors.
## Warning: package 'kableExtra' was built under R version 4.4.3| Nombre | Carrera | Semestre |
|---|---|---|
| Andreina | Ing. Industrial | 4 |
| Daniela | Ing. Industrial | 5 |
| Carlos | Ing. Industrial | 4 |
3. Write a R program to get the structure of a given data frame.
## [1] "Original dataframe:"## name score attempts qualify
## 1 Anastasia 12.5 1 yes
## 2 Dima 9.0 3 no
## 3 Katherine 16.5 2 yes
## 4 James 12.0 3 no
## 5 Emily 9.0 2 no
## 6 Michael 20.0 3 yes
## 7 Matthew 14.5 1 yes
## 8 Laura 13.5 1 no
## 9 Kevin 8.0 2 no
## 10 Jonas 19.0 1 yes## [1] "Structure of the said data frame:"## 'data.frame': 10 obs. of 4 variables:
## $ name : chr "Anastasia" "Dima" "Katherine" "James" ...
## $ score : num 12.5 9 16.5 12 9 20 14.5 13.5 8 19
## $ attempts: num 1 3 2 3 2 3 1 1 2 1
## $ qualify : chr "yes" "no" "yes" "no" ...
## NULL4. Write a R program to get the statistical summary and nature of the data of a given data frame.