Cheatsheets
Use cheatsheets to refresh your memory and find new functions or plots.
- In RStudio go to
Help > Cheatsheets
- Data Transformation :: Helpful functions for cleaning and arranging your data.
- Data Visualization :: Great reference for all your
ggplot
’ing options.
- Data Transformation :: Helpful functions for cleaning and arranging your data.
Find new packages and functions
- Search packages in R with CRANsearcher
- ROpenSci has packages and data for all types of environmental and “scientific” work.
- For water the USGS shares water quality focused packages on GitHub.
Searching online
- Google: include
r
orrstats
+"the question"
- Include
github
to get to a package’s development page that often includes examples.
- Include
- Search or post on stackoverflow.com + the
[r]
tag
Inside R
- Get function help and package info in R with
?arrange()
orhelp(dplyr)
Teams
- Post a question to the Teams channel
Troubleshooting
These are a few of the things we personally forget to do all the time and cause 90% of our errors. They’re good first checks if R starts throwing errors or behaving strangely.
Make sure all parentheses are balanced so that every opening
(
has a corresponding closing)
.R doesn’t love
\
backward slashes like Windows, check that they didn’t sneak into your expression somewhere. When in doubt use the/
forward slash.If you think you have completed typing your code, and instead of seeing the
>
command prompt at the console you see the+
character instead. That’s a good sign that either R is still thinking very-very hard, or it is still waiting for you to complete your expression. You can hitEsc
orCtrl-C
to force your way back to the console and try typing your code again.R is very picking about spelling. So are meteorologists when talking about lighting storms.
- In
ggplot
we build up plots one piece at a time by adding expressions to one another with the+
character. When doing this, make sure the+
goes at the end of each line, and not the beginning.
Put the +
sign here to make ggplot
happy:
ggplot(data = mpg, aes(x = displ, y = hwy)) +
geom_point()
Put it on the next line to make ggplot
sad:
ggplot(data = mpg, aes(x = displ, y = hwy))
+ geom_point()
Error messages
Not all error messages are helpful or easy to interpret, but they do seem to be getting better in many R packages. When googling an error message it can help to put the entire message in quotes. For the error below we would search for "Error in fit[5, 100, ] : subscript out of bounds"
.