Error in `levels<-`(`*tmp*`, value = as.character(levels)) : factor level [3] is duplicated

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I'm trying to plot faceted survival curves with autoplot but the combination of covariates and facetting them duplicates levels within the factors

library(survival)
library(ggfortify)
fit <- survfit( Surv(time, status) ~ inst + sex,
                 data = lung )

autoplot(fit, facets = TRUE)


Error in `levels<-`(`*tmp*`, value = as.character(levels)) : 
  factor level [3] is duplicated

Has anyone successfully plotted faceted survival curves with autoplot? I tried survminer but the plot looks horrific with the covariates taking up most of the plot area.

autoplot ggfortify survival ggplot2 r
1 Answers

I think you should look again at ggsurvplot, since autoplot.survfit doesn't seem to like having more than one independent factor variable (whether you facet or not).

The ggsurvplot function returns a ggplot object, so you don't need to settle for the default options. You can add scales and styling as you see fit. To take your example, we could do:

library(survival)
library(ggfortify)
library(survminer)

fit <- survfit( Surv(time, status) ~ inst + sex,
                 data = lung )

p <- ggsurvplot(fit, facet.by = "inst", conf.int = TRUE) + 
  theme(strip.background = element_blank(),
        axis.line.x = element_line())

p$facet <- facet_wrap(.~inst, ncol = 3, nrow = 6, scales = "free")

p

enter image description here

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