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The below should talk about performance not qqplotr
First, we can use check_model() to produce a range of assumption test visualisations. Helpfully, this function also provides a brief explanation of what you should be looking for in each plot - if only all functions in R were so helpful!
If you get the error message Failed with error: ‘there is no package called ‘qqplotr’’, install the package qqplotr, you don't need to load it using library(), but check_model() uses it in the background.
If your check_model() plots are not showing, try maximising your plot window.
The text was updated successfully, but these errors were encountered:
The below should talk about performance not qqplotr
First, we can use check_model() to produce a range of assumption test visualisations. Helpfully, this function also provides a brief explanation of what you should be looking for in each plot - if only all functions in R were so helpful!
If you get the error message Failed with error: ‘there is no package called ‘qqplotr’’, install the package qqplotr, you don't need to load it using library(), but check_model() uses it in the background.
If your check_model() plots are not showing, try maximising your plot window.
The text was updated successfully, but these errors were encountered: