# to get the proportion of votes for the winning class in r

To get the proportion of votes for the winning class in R, you can follow these steps:

- First, you need to load the required packages. You can use the
`library()`

function to load the necessary packages. For example:

```
library(dplyr)
```

- Next, you need to read in your data. You can use the
`read.csv()`

function to read in a CSV file, or any other appropriate function based on the file format you are working with. For example:

```
data <- read.csv("your_data.csv")
```

- After reading in the data, you can use the
`count()`

function from the`dplyr`

package to count the number of votes per class. For example:

```
class_counts <- count(data, class)
```

Here, `data`

is the name of your data frame, and `class`

is the name of the column that contains the class information.

- Once you have the class counts, you can use the
`max()`

function to find the class with the maximum number of votes. For example:

```
winning_class <- class_counts$class[which.max(class_counts$n)]
```

Here, `class_counts$n`

gives the count of votes for each class, and `which.max()`

returns the index of the maximum value.

- Finally, you can calculate the proportion of votes for the winning class by dividing the count of votes for the winning class by the total number of votes. For example:

```
total_votes <- sum(class_counts$n)
proportion <- class_counts$n[which(class_counts$class == winning_class)] / total_votes
```

Here, `sum(class_counts$n)`

gives the total number of votes, and `class_counts$n[which(class_counts$class == winning_class)]`

gives the count of votes for the winning class.

That's it! You now have the proportion of votes for the winning class in R.