Edit the code chunks below and knit the document.
In the console, type the following:
1 + 2
a <- 1
b <- 2
a + bLook at the Environment tab in the upper right pane. Set the variable
how_many_objects below to the number of objects listed in
the environment.
how_many_objects <- 2Use the rnorm() function to generate 10 random values
from a normal distribution with a mean of 800 and a standard deviation
of 20, and store the resulting vector in the object
random_vals.
random_vals <- rnorm(10, 800, 20)Use the help function to figure out what argument you need to set to
ignore NA values when calculating the mean of
the_values. Change the function below to store the mean of
the_values in the variable the_mean.
the_values <- c(1,1,1,2,3,4,6,8,9,9, NA) # do not alter this line
the_mean <- mean(the_values, na.rm = TRUE)Figure out what the function seq() does. Use the
function to set tens to the vector
c(0, 10, 20, 30, 40, 50 ,60, 70 ,80 ,90, 100). Set
bins6 to the cutoffs if you wanted to divide the numbers 0
to 100 into 6 bins. For example, dividing 0 to 100 into 4 bins results
in the cutoffs c(0, 25, 50, 75, 100),
tens <- seq(from = 0, to = 100, by = 10)
bins6 <- seq(0, 100, length.out = 7)Figure out how to use the paste() function to paste
together strings with forward slashes (“/”) instead of spaces. Use
paste() to set my_dir to
“my/project/directory”.
my_dir <- paste("my", "project", "directory", sep = "/")Install the CRAN package called “cowsay”. Run the code to do this and include it in the code chunk below, but comment it out. It is bad practice to write a script that installs a package without the user having the option to cancel. Also, some packages take a long time to load, so you won’t want to install them every time you run a script.
# comment out the installation code
# install.packages("cowsay")The code below has an error and won’t run. Fix the code.
cowsay::say()cowsay::say(by = "pumpkin")cowsay::say(by_color = "blue")