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I think we should focus some efforts towards updating the "reference card" from 2016, and taking its contents and putting into an even more compact format
It is a great idea -- and has well-written content -- but it is not a "card."
The traditional "cheatsheet" concept is something I have wanted to emulate for aqp and soilDB. But I have not done that. And that is not an issue for this stats class repository. We barely scratch the surface of either of those packages in the class, so I almost would be tentative to throw the cheatsheet at a brand new R user -- given the current variety in both packages. I had wanted to make something before SSSA, but I didnt ever get around to it. Partially because of this [perceived] problem.
I think we could make a cheatsheet that is specific to the stats classes (one each for parts 1 and 2) -- and targeting an actual single-page, nice looking, compact format
The text was updated successfully, but these errors were encountered:
And pick out a top 3 or 5 that reflect things we use, or things we think people should know. We could then tabulate the results -- could be a fun stats exercise, but also just an interesting way to crowdsource some ideas on different packages and things that different folks like to use.
I think we should focus some efforts towards updating the "reference card" from 2016, and taking its contents and putting into an even more compact format
@smroecker @jskovlin @dylanbeaudette @hammerly @phytoclast @skyew
http://ncss-tech.github.io/stats_for_soil_survey/reference_card/reference_card.html
It is a great idea -- and has well-written content -- but it is not a "card."
The traditional "cheatsheet" concept is something I have wanted to emulate for aqp and soilDB. But I have not done that. And that is not an issue for this stats class repository. We barely scratch the surface of either of those packages in the class, so I almost would be tentative to throw the cheatsheet at a brand new R user -- given the current variety in both packages. I had wanted to make something before SSSA, but I didnt ever get around to it. Partially because of this [perceived] problem.
Here are some examples: https://github.com/rstudio/cheatsheets
I think we could make a cheatsheet that is specific to the stats classes (one each for parts 1 and 2) -- and targeting an actual single-page, nice looking, compact format
The text was updated successfully, but these errors were encountered: