Factor/categorical color symbology in plots #27

Activity

1. Swarchal commented on Feb 3, 2021

   

   Swarchal

   on Feb 3, 2021

   Owner

   More actions

   Yeah it's not documented very well, but you can pass strings or factors to raw_map.

   e.g:

   df = data.frame(
       well = num_to_well(1:96),
       sample_name = sample(c("a", "b", "c"), 96, replace=TRUE)
   )
   
   raw_map(
       well = df$well,
       data = df$sample_name,
       plate = 96
   )

   

   👍React with 👍1Reacted by Robert Sellers
2. RobertSellers commented on Feb 4, 2021

   

   RobertSellers

   on Feb 4, 2021

   Author

   More actions

   Ah - no this should have been obvious to me. I had some custom symbology running through it which was the error...

   + scale_fill_viridis()
3. RobertSellers

   closed this as completedon Feb 4, 2021
4. RobertSellers

   reopened this on Feb 4, 2021
5. RobertSellers commented on Feb 4, 2021

   

   RobertSellers

   on Feb 4, 2021

   Last edited by RobertSellers

   Author

   More actions

   Hi again. I just wanted to follow-up with something related. Is it possible to add these discrete labels to the well fills? Using your example - placing an "a" over all of the red wells. Is this possible with platetools or does this require some very custom work?
6. Swarchal commented on Feb 4, 2021

   

   Swarchal

   on Feb 4, 2021

   Last edited by Swarchal

   Owner

   More actions

   Good question, and another undocumented workflow. You can add labels using geom_text() from ggplot.

   library(platetools)
   library(ggplot2)
   
   df = data.frame(
       well = num_to_well(1:96),
       sample_name = sample(c("a", "b", "c"), 96, replace=TRUE)
   )
   
   raw_map(
       well = df$well,
       data = df$sample_name,
       plate = 96
   ) + 
       geom_text(aes(label=df$sample_name))

   

   👍React with 👍1Reacted by Robert Sellers
7. RobertSellers commented on Feb 4, 2021

   

   RobertSellers

   on Feb 4, 2021

   Author

   More actions

   Excellent, thank you. This is looking quite good.