ERROR while rich displaying an object: Error: Continuous value supplied to discrete scale

问题：

解决

完整错误：

#参考示例mtcars

问题：

Pre0 <-rms::Predict(fit,Hb,fun=exp,type="predictions",ref.zero=TRUE,conf.int = 0.95,digits=2);
##其中fun是转化函数
ggplot(Pre0)
View(Pre0)ggplot()+geom_line(data=Pre0,aes(Hb,yhat,colour=gender),alpha=0.7)+scale_color_nejm()+ ##采用ggsci包中英格兰调色，也可以其他geom_ribbon(data=Pre0,aes(Hb, ymin=lower,ymax=upper,fill=gender),alpha=0.1)+scale_fill_nejm()+geom_hline(yintercept=1,linetype=2,size=0.75)

解决

as.factor把sex变量转化为因子即可；

Pre0 <-rms::Predict(fit,Hb,fun=exp,type="predictions",ref.zero=TRUE,conf.int = 0.95,digits=2);
##其中fun是转化函数
ggplot(Pre0)
View(Pre0)ggplot()+geom_line(data=Pre0,aes(age,yhat,colour=as.factor(sex)),alpha=0.7)+scale_color_nejm()+ ##采用ggsci包中英格兰调色，也可以其他geom_ribbon(data=Pre0,aes(age, ymin=lower,ymax=upper,fill=as.factor(sex)),alpha=0.1)+scale_fill_nejm()+geom_hline(yintercept=1,linetype=2,size=0.75)

完整错误：

ERROR while rich displaying an object: Error: Continuous value supplied to discrete scaleTraceback:
1. FUN(X[[i]], ...)
2. tryCatch(withCallingHandlers({.     if (!mime %in% names(repr::mime2repr)) .         stop("No repr_* for mimetype ", mime, " in repr::mime2repr").     rpr <- repr::mime2repr[[mime]](obj).     if (is.null(rpr)) .         return(NULL).     prepare_content(is.raw(rpr), rpr). }, error = error_handler), error = outer_handler)
3. tryCatchList(expr, classes, parentenv, handlers)
4. tryCatchOne(expr, names, parentenv, handlers[[1L]])
5. doTryCatch(return(expr), name, parentenv, handler)
6. withCallingHandlers({.     if (!mime %in% names(repr::mime2repr)) .         stop("No repr_* for mimetype ", mime, " in repr::mime2repr").     rpr <- repr::mime2repr[[mime]](obj).     if (is.null(rpr)) .         return(NULL).     prepare_content(is.raw(rpr), rpr). }, error = error_handler)
7. repr::mime2repr[[mime]](obj)
8. repr_text.default(obj)
9. paste(capture.output(print(obj)), collapse = "\n")
10. capture.output(print(obj))
11. withVisible(...elt(i))
12. print(obj)
13. print.ggplot(obj)
14. ggplot_build(x)
15. ggplot_build.ggplot(x)
16. lapply(data, scales_train_df, scales = npscales)
17. FUN(X[[i]], ...)
18. lapply(scales$scales, function(scale) scale$train_df(df = df))
19. FUN(X[[i]], ...)
20. scale$train_df(df = df)
21. f(..., self = self)
22. self$train(df[[aesthetic]])
23. f(..., self = self)
24. self$range$train(x, drop = self$drop, na.rm = !self$na.translate)
25. f(..., self = self)
26. scales::train_discrete(x, self$range, drop = drop, na.rm = na.rm)
27. stop("Continuous value supplied to discrete scale", call. = FALSE)

#参考示例mtcars

ggplot(mtcars, aes(x=wt, y=mpg, color=as.factor(cyl), shape=as.factor(cyl))) +geom_point() + geom_smooth(method=lm, se=FALSE, fullrange=TRUE)+scale_shape_manual(values=c(3, 16, 17))+ scale_color_manual(values=c('#999999','#E69F00', '#56B4E9'))+theme(legend.position="top")

参考："Error: Continuous value supplied to discrete scale" in default data set example mtcars and ggplot2

参考： R

参考：ggplot2

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ERROR while rich displaying an object: Error: Continuous value supplied to discrete scale

ERROR while rich displaying an object: Error: Continuous value supplied to discrete scale

问题：

解决

完整错误：

#参考示例mtcars

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