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Introduction to R for Geospatial Data

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The [Exploring Data Frames episode](https://datacarpentry.org/r-intro-geospatial/04-data-structures-part2/index.html) has an objective and keypoints that aren't' covered. Specifically the objective objectives... > - Remove rows with NA values. and the keypoints... > - Remove...

R is not giving a warning when executing `rbind(gapminder, new_row)`. `gapminder$continent` is not a factor. https://github.com/datacarpentry/r-intro-geospatial/blob/3ae8234810c878a3b99dc3fc4b6c2ba68d2f4c58/_episodes_rmd/04-data-structures-part2.Rmd#L262 It does, however, for the same reason, generate a warning message after running this:...

Edit solution to Challenge 2. `country` and `continent` are character vectors (not factors). https://github.com/datacarpentry/r-intro-geospatial/blob/3ae8234810c878a3b99dc3fc4b6c2ba68d2f4c58/_episodes_rmd/04-data-structures-part2.Rmd#L190

03-data-structures-part1.Rmd: The solution text to Challenge 1 should be changed from: "The data in nordic_2$lifeExp is stored as factors rather than numeric. This is because of the “or” character string...

`str(nordic$country)` returns character type not factor: ` chr [1:3] "Denmark" "Sweden" "Norway"` , so the flow of the text does not quite make sense. This could possibly be remedied just...

Revise solution to Challenge 4 and replace "factor" with "character". https://github.com/datacarpentry/r-intro-geospatial/blob/3ae8234810c878a3b99dc3fc4b6c2ba68d2f4c58/_episodes_rmd/03-data-structures-part1.Rmd#L457

During the June Maintainer meeting, we asked for comments and experiences with the migration to R 4.0 so that we could create guidance for maintainers and instructors. We have drafted...

_Please briefly summarise the changes made in the pull request, and the reason(s) for making these changes._ Update R project instructions to exactly match phrasing in RStudio. Fix broken link...

:robot: This is an automated build This will update 13 packages in your lesson with the following versions: ``` # NEW OR REMOVED PACKAGES ------------------------------- - MASS [required by ggplot2]...

type: package cache

Refers to: https://github.com/datacarpentry/r-intro-geospatial/issues/160 Old link refers to Rstudio cheatsheets and Posit's website has been updated.