Edit the code chunks below and knit the document.
In the console, type the following:
1 + 2
a <- 1
b <- 2
a + b
Look 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 <- NULL
Use 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 <- NULL
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 <- NULL
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 <- NULL
bins6 <- NULL
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 <- NULL
Install the CRAN package called “fortunes”. 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
The code below has an error and won’t run. Fix the code.
fortune::fortune()
## Error in loadNamespace(x): there is no package called 'fortune'