Week 4- r studio notes

Question 1

how would you do data wrangling?

Answer 1

RTA_filter <- RTA %>%
filter(intend > 0)

RTA_recode <- RTA_filter %>%
mutate(condition = recode(condition, “1” = “rta”, “2” = “control”),
actualdonate = recode(actualdonate, “1” = “donated” , “0” = “no_donate”))

head(RTA_recode)

• The filter() function is used to subset a data frame, retaining all rows that satisfy your conditions.
• mutate() function- add new variables in the specified data frame.
• recode- allows you to create new variables and to replace existing values of a variables based on a criterion.
• head- used to display the first n rows present in the input data frame

Question 2

descriptive stats

Answer 2

count() lets you quickly count the unique values of one or more variables

Question 3

how to calculate chi squared in r

Answer 3

results <- chisq.test(x = RTA_recode$condition,
y = RTA_recode$actualdonate,
correct = FALSE)
results

view(results)

• correct=false tells r not to do Yate’s correction