Class 12

Strings

Materials for class on

2024-10-03

Preparation Materials

Agenda

Today we’ll focus on:

continuing experiment analysis
strings

Strings

We’ll review examples from the reading and exercises. At this point you should be getting familiar with:

escaping characters
special characters
str_c(), str_glue(), paste, and paste0()
separate() and the new variants, especially for separating wider
str_length() and str_sub()

Using the experiment analysis project:

Create a new column in one of the dataframes that gives the string length for each sentence.
Create a new column with the first two letters of each sentence.

---
title: "Class 12"
subtitle: "Strings"
date: 2024-10-03
date-format: "YYYY-MM-DD"
image: /images/stringr.png
editor: 
  markdown: 
    wrap: 72
editor_options: 
  chunk_output_type: console
---

## Preparation Materials

-   {{< fa external-link >}} [Strings (R for Data Science
    2e)](https://r4ds.hadley.nz/strings.html)
-   {{< fa external-link >}} [Regular Expressions (R for Data Science
    2e)](https://r4ds.hadley.nz/regexps.html)

## Agenda

Today we'll focus on:

-   continuing experiment analysis
-   strings

## Strings

We'll review examples from the reading and exercises. At this point you
should be getting familiar with:

 - escaping characters
 - special characters
 - `str_c()`, `str_glue()`, `paste`, and `paste0()`
 - `separate()` and the new variants, especially for separating wider
 - `str_length()` and `str_sub()`
 
Using the experiment analysis project: 

1. Create a new column in one of the dataframes that gives the string
length for each sentence. 

2. Create a new column with the first two letters of each sentence.