Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Typo corrections #26

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Typo corrections #26

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions programs.rmd
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@ Let's start by looking at how you can divide a program into subtasks that are si

A program is a set of step-by-step instructions for your computer to follow. Taken together, these instructions may accomplish something very sophisticated. Taken apart, each individual step will likely be simple and straightforward.

You can make coding easier by identifying the individual steps or subtasks within your program. You can then work on each subtask separately. If a subtask seems complicated, try to divide it again into even subtasks that are even more simple. You can often reduce an R program into substasks so simple that each can be performed with a preexisting function.
You can make coding easier by identifying the individual steps or subtasks within your program. You can then work on each subtask separately. If a subtask seems complicated, try to divide it again into even subtasks that are even more simple. You can often reduce an R program into subtasks so simple that each can be performed with a preexisting function.

R programs contain two types of subtasks: sequential steps and parallel cases.

Expand Down Expand Up @@ -444,7 +444,7 @@ all(symbols == symbols[1])
As your vocabulary of R functions broadens, you'll think of more ways to do basic tasks. One method that I like for checking three of a kind is:

```r
length(unique(symbols) == 1)
length(unique(symbols)) == 1
```

The `unique` function returns every unique term that appears in a vector. If your `symbols` vector contains three of a kind (i.e., one unique term that appears three times), then `unique(symbols)` will return a vector of length `1`.
Expand Down