New error about continuous/discrete x comes up with geom_histogram() in ggplot2 2.0

[sheriferson]

Here is minimal reproducible code to demonstrate my problem:

library(ggplot2)
days <- c("Fri", "Fri", "Fri", "Sat", "Sat", "Sun")
days <- as.data.frame(days)

ggplot(days, aes(x = days)) + geom_histogram(aes(y = ..count..))

This code used to run fine, but after updating to ggplot2 it gives the following error:

Error: StatBin requires a continuous x variable the x variable is discrete. Perhaps you want stat="count"?

I thought "this is new", but I tried adding stat = "count" anyway:

ggplot(days, aes(x = days)) + geom_histogram(aes(y = ..count..), stat = "count")

Which gives me this error:

Error: Unknown parameters: binwidth, bins, origin, right

Okay, I tried to specify them myself:

ggplot(days, aes(x = days)) + geom_histogram(aes(y = ..count..), stat = "count",
                                             binwidth = 1,
                                             bins = 3,
                                             origin = 1,
                                             right = TRUE)

But it gives me the same error:

Error: Unknown parameters: binwidth, bins, origin, right

I've confirmed that the days variable is a factor (and my old code used to work with that before):

> str(days$days)
 Factor w/ 3 levels "Fri","Sat","Sun": 1 1 1 2 2 3

Any tips on what I'm doing wrong or what's going wrong? I tried looking at earlier issues and at ?geom_histogram.

[has2k1]

Use geom_bar

[sheriferson]

@has2k1 That worked. I'm still curious why geom_historgram stopped working, but thank you.

[has2k1]

Previously geom_bar and geom_histogram were the same, one an alias of the other. Now geom_histogram is for continuous data (it will do binning) and geom_bar is for discrete data.

[sheriferson]

Thanks for the explanation.

[danilecas]

Same problem here and solved it based on this explanation. Thanks.

[vspinu]

geom_bar is not equivalent to geom_histogram. You cannot plot ..density.. anymore. geom_bar(aes(y = ..density..)) gives Error in eval(expr, envir, enclos) (from quickdf.r#11) : object 'density' not found.

What's the canonical way to plot proportions right now?

[vspinu]

What's the canonical way to plot proportions right now?

Ok, figured it out. geom_bar(aes(y = ..count../sum(..count..))) does the job, but an extra adjustment of y labels is now needed.

[johnmutiso]

geom_bar is really working.... great solution
thank you

[paulmajora]

Thanks using geam_bar() worked fine

[nreedus]

This worked for me as well. Thanks

[Arghya999]

geom_bar() helped me as well.
Thanks.

[kgeier]

Why does it think my data is discrete and not continuous?

[batpigandme]

@kgeier it's impossible to tell without more information.

Could you please include self-contained reprex (short for minimal reproducible example) in a question at https://community.rstudio.com/, or (if you're confident it's a bug in ggplot2) a new issue?

If you've never heard of a reprex before, you might want to start by reading the tidyverse.org help page. The reprex dos and don'ts are also useful.

[kgeier]

@batpigandme
Thank you for your reply. Sorry I didn't mean for someone to solve my problem without any information. I was hoping instead for a brief discussion of why geomhistogram occasionally views data that appears continuous as discrete. For instance, I know data can be coded as a factor or character. Are there other issues that can lead to this kind of error?

[iamrishi-x]

by using geom_bar it give me this error
stat_bin() must not be used with a y aesthetic.

[AnishXavier]

@risved7 Was the data summarized?

[lock]

This old issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with reprex) and link to this issue. https://reprex.tidyverse.org/