Às 20:34 de 04/10/2023, Subia Thomas OI-US-LIV5 escreveu:
Colleagues,

I wish to create y-data labels which meet a criterion.

Here is my reproducible code.
library(dplyr)
library(ggplot2)
library(cowplot)

above_92 <- filter(faithful,waiting>92)

ggplot(faithful,aes(x=eruptions,y=waiting))+
   geom_point(shape=21,size=3,fill="orange")+
   theme_cowplot()+
   geom_hline(yintercept = 92)+
   
annotate(geom="text",x=above_92$eruptions,y=above_92$waiting+2,label=above_92$waiting)

A bit of trial and error is required to figure out what number to add or 
subtract to above_92$waiting.

Is there a more efficient way to do this?


Thomas Subia
Lean Six Sigma Senior Practitioner

DRÄXLMAIER Group
DAA Draexlmaier Automotive of America LLC

mailto:thomas.su...@draexlmaier.com
http://www.draexlmaier.com

"Nous croyons en Dieu.
Tous les autres doivent apporter des données.
Edward Deming


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Hdello,

Yes, there is an automatic way of doing this.
Use a new data set in geom_text or annotate. Below I use geom_text.
Then vjust will take care of the labels placement.




library(dplyr)
library(ggplot2)
library(cowplot)

above_92 <- filter(faithful, waiting > 92)

ggplot(faithful, aes(x = eruptions, y = waiting)) +
  geom_point(shape=21,size=3,fill="orange") +
  geom_hline(yintercept = 92) +
  # use a new data argument here
  geom_text(
    data = above_92,
    mapping = aes(x = eruptions, y = waiting, label = waiting),
    vjust = -1
  ) +
  theme_cowplot()




Hope this helps,

Rui Barradas


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and provide commented, minimal, self-contained, reproducible code.

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