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
Public: All rights reserved. Distribution to third parties allowed.
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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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R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.