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License: Other
Home Page: https://psyteachr.github.io/introdataviz/
License: Other
Should we build up the very first plot without a geom to start? So just:
ggplot(data = dat, mapping = aes(x = language))
We could use that as a way to discuss mapping as aes()
before jumping into geoms.
The install command throws an error:
devtools::install_github("psyteachr/introdataviz")
Downloading GitHub repo psyteachr/introdataviz@HEAD
Error: Failed to install 'introdataviz' from GitHub:
Missing commas separating Remotes: 'psyteachr/glossary
crsh/papaja'
trying to install the package.
Executing this: devtools::install_github("psyteachr/introdataviz")
throws the following error: ERROR: dependency 'glossary' is not available for package 'introdataviz
Then aborts the installation.
I'm still not sure we need to include section 2.5 showing how to summarise data. It detracts from the focus on visualisation and adds a few new coding concepts right at the starts that aren't really required to create plots. We could move it to the additional material.
Maybe consider recommending changing all factors to display labels up front?
So instead of the section that just shows to change language labels 1 and 2 to "monolingual" and "bilingual" and then later changing those to "Monolingual Participants", etc., show how to change both numeric and string categories to factors with the labels and order you want for display.
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