In skranz/RTutor: Interactive R problem sets with automatic testing of solutions and automatic hints

< ignore

library(RTutor)
# Adapt the working directory below and then run setup chunk in RStudio.
setwd("D:/libraries/RTutor/examples")
ps.name = "myps"; sol.file = paste0(ps.name,"_sol.Rmd")
libs = c("ggplot2") # character vector of all packages you load in the problem set

#name.rmd.chunks(sol.file)
create.ps(sol.file=sol.file, ps.name=ps.name, libs=libs,addons = "quiz")

# The following line directly shows the problem set 
# in the browser
show.ps(ps.name,launch.browser=TRUE,
  auto.save.code=FALSE,sample.solution=FALSE)

>

Exercise 1 -- Summary statistics

a) We often want to compute some summary statistic of a vector. For example:

#< task_notest
x = 10:20
# Computing the sum of x
sum(x)
#>

Now compute the mean of x.

mean(x)
#< hint
display("Use Google, e.g. search for 'R compute mean'.")
#>

< award "mean means mean"

Well, in some occasions one can just guess the name of an R function. The function to compute the mean of a vector, or matrix is called 'mean'. Usually, it is much quicker to goggle than to guess function names, however.

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Exercise 2 -- Computing with vectors

a) Let y be a vector that contains the squared elements of x. Then show y.

#< task
x = 1:5
#>
y = x^2
y

We can also plot in a problem set

library(ggplot2)
qplot(x,y)

< info "random numbers"

Here are examples for generating random numbers

runif(3,0,100)
sample(1:100,5)

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Here is a quiz that will be nicely shown in the shiny version.

< quiz "prime"

question: What is the 'oddest' prime? sc: - 2* - 3 - 5 - 7 success: Well, of course the answer is debatable... failure: Try again.

>

skranz/RTutor documentation built on Feb. 7, 2024, 12:53 a.m.