Bill and I will do our best to stay a bit ahead of everyone, identifying potential issues we might encounter as we work through the Text Mining with R book from Julia Silge and David Robinson. Here are a few reminders and some things to be on the look-out for in Chapter 1.
library(PACKAGE_NAME), you’ll be loading a new package into your R session. Packages need to be installed before they can be loaded, so if you see a package whose name looks new to you or you get an error stating that there is no packaged called PACKAGE_NAME you’ll want to run install.packages("PACKAGE_NAME") and then retry running library(PACKAGE_NAME).readr, dplyr, ggplot2, stringr) which are part of the tidyverse. There are advantages to loading the packages separately, but we aren’t doing anything that would observe a benefit. You can load all of the tidyverse packages at the beginning of your R Session by running library(tidyverse).tidyverse) packages you’ll need this week are gutenbergr, janeausten, and scales.gutenbergr package was down. You may need to try accessing the Project Gutenberg files from a different mirror – for example, try this gutenberg_download(c(35, 36, 5230, 159), mirror = "http://mirrors.xmission.com/gutenberg") in place of the suggested code for downloading the HG Wells texts.regex("^chapter [\\divxlc]", ignore_case = TRUE). This is called a regular expression (or RegEx for short) and is useful for pattern matching. This one says, we want to match text that begins with (^) the word chapter, is followed by a space and either a decimal digit (\\d) or Roman-Numeral. The argument ignore_case = TRUE says that we won’t consider upper and lower case characters as different for the purpose of pattern matching here. We will do more with regular expressions as we continue on, but you can find a RegEx cheatsheet here and a RegEx-testing applet here.That’s all for now. Post questions you have in Slack and/or bring them with you to our Thursday live meeting.
Next, “Homework” Assignment (Link to be added)