R Basics

class: center, middle, inverse, title-slide

.title[
# R Basics
]
.author[
### 
]

---

# vectors and lists

Vectors and lists are the most basic building structures of `R`

+ vector

```r
num_vec <- c(1, 2, 3)

char_vec <- c('apple', 'banana', 'c')

bool_vec <- c(TRUE, FALSE, TRUE)
```

---

+ list

```r
will <- list(
  name = 'Will',
  age = 28,
  lives_in_Ames = TRUE
)

will
```

```
## $name
## [1] "Will"
## 
## $age
## [1] 28
## 
## $lives_in_Ames
## [1] TRUE
```

---

# control structures

+ if statements
+ for statements
+ while statements
+ repeat statements
+ break and next statements
+ switch statements

---

# control structures

+ if statements

```r
if (will$lives_in_Ames) {
  print("Ames is good")
}
```

```
## [1] "Ames is good"
```

+ for statements

```r
for (num in num_vec) {
  print(num)
}
```

```
## [1] 1
## [1] 2
## [1] 3
```

---

# user-defined functions

```r
plus_a_b <- function(arg1, arg2) {
  arg1 + arg2
}

plus_a_b(3, 10)
```

```
## [1] 13
```

---

# pipe operator

`obj %>% function(arg2)` is equivalent to `function(obj, org2)`

```r
3 %>% plus_a_b(10)
```

```
## [1] 13
```

---

# dataframe

```r
data("mtcars")

head(mtcars)
```

```
##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1
```

---