search for: calendari

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2019 Jul 18
4
Gráfico tiempos de supervivencia
Hola, Sí, lo puedes hacer de esta forma... #----------------- set.seed(20) DATOS <- data.frame ( ID = c (1:10) , TIEMPO = sample(1:40, 10, replace=F) , DEF = as.factor(sample(c(0,1), 10, replace=T)) ) library(ggplot2) ggplot( data = DATOS ) + geom_point( aes(x = TIEMPO, y = ID , shape = DEF, color = DEF), size = 5 ) + geom_segment( aes( x = 0, y = ID, xend =