Problem applying filter to mean

General
#1

Hello, I'm very new to R and have a problem to find the call rates of a specific category in a row in the following database:

resume <- read.csv('https://raw.githubusercontent.com/umbertomig/intro-prob-stat-FGV/master/datasets/resume.csv')
head(resume)

How can I find the call rate for a specific category such as "white" and "black" in the "race" row?

#2

You can use 'dplyr' functions to group and summarize some variables. Here are some examples, I hope it will be useful for you.

to calculate total call by race

resume %>%
group_by(race) %>%
summarise(total = sum(call))

to calculate mean of call by race

resume %>%
group_by(race) %>%
summarise(mean = mean(call))

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#6

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#3

Thank you, it worked. I would also like to know how to find the call rate by the first name and the highest and lowest call rates by first name.

#4

In that case you need to group by the desired variable(s) and then summarize:

resume %>%
group_by(firstname) %>%
summarise(mean = mean(call))

other useful functions are max(), min(), median(), sd(), range()

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