CODEWITHSUNDEEP
rvariablessample
Jason Todd
Jason Todd

Reputation: 25

Proportion of data in a sample in R

I have a variable of vehicles:

vehicleType <- c("suv", "suv", "minivan", "car", "suv", "suv", "car", "car", "car", "car", "minivan", "car", "truck", "car", "car", "car", "car", "car", "car", "car", "minivan", "car", "suv", "minivan", "car", "minivan", "suv", "suv", "suv", "car", "suv", "car", "car", "suv", "truck", "truck", "minivan", "suv", "car", "truck", "suv", "suv", "car", "car", "car", "car", "suv", "car", "car", "car", "suv", "car", "car", "car", "truck", "car", "car", "suv", "suv", "minivan", "suv", "car", "car", "car", "car", "car", "minivan", "suv", "car", "car", "suv", "minivan", "car", "car", "car", "minivan", "minivan", "minivan", "car", "truck", "car", "car", "car", "suv", "suv", "suv", "car", "suv", "suv", "car", "suv", "car", "minivan", "car", "car", "car", "car", "car", "car", "car")

How can I calculate the proportion of SUV's in the sample in R?

Thanks in advance.

Upvotes: 1

Views: 1762

Answers (3)

Taha Parsayan
Taha Parsayan

Reputation: 11

You can use the function table() as:

> table(vehicleType)
vehicleType
car minivan     suv   truck 
 55      13      26       6

Also to find the proportion, you may devide the table by the size of the data:

> summary(table(vehicleType))
Number of cases in table: 100 
Number of factors: 1 
> table(vehicleType) / 100
vehicleType
car minivan     suv   truck 
0.55    0.13    0.26    0.06

Upvotes: 0

akrun
akrun

Reputation: 887058

We can use mean

mean(vehicleType=="suv")
#[1] 0.26

Or to find the proportions of all the elements, use prop.table

prop.table(table(vehicleType))
#   vehicleType
#   car minivan     suv   truck 
#  0.55    0.13    0.26    0.06

Upvotes: 2

Kunal Puri
Kunal Puri

Reputation: 3427

Use table() function:

> table(vehicleType)
vehicleType
    car minivan     suv   truck 
     55      13      26       6

For proportion, you may use:

> table(vehicleType) / length(vehicleType)
vehicleType
    car minivan     suv   truck 
   0.55    0.13    0.26    0.06

Upvotes: 0

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