CODEWITHSUNDEEP
rggplot2ggridgesridgeline-plot
Frank B.
Frank B.

Reputation: 1873

geom_density_ridges requires the following missing aesthetics: y

No matter what I try I cannot create a ridgeline plot using ggridges. Using a dataframe graphing_dataframe that looks as follows:

str(graphing_dataframe)
summary(graphing_dataframe)

> str(graphing_dataframe)
Classes ‘tbl_df’, ‘tbl’ and 'data.frame':   14 obs. of  3 variables:
 $ id    : chr  "00343" "00343" "00343" "00343" ...
 $ week  : num  14 1 2 3 4 5 6 7 8 9 ...
 $ rating: num  14 4 12 8 14 19 16 16 7 8 ...
 - attr(*, "spec")=
  .. cols(
  ..   id = col_character(),
  ..   week = col_double(),
  ..   rating = col_double()
  .. )
> summary(graphing_dataframe)
      id                 week           rating     
 Length:14          Min.   : 1.00   Min.   : 4.00  
 Class :character   1st Qu.: 4.25   1st Qu.: 8.00  
 Mode  :character   Median : 7.50   Median :10.50  
                    Mean   : 7.50   Mean   :11.43  
                    3rd Qu.:10.75   3rd Qu.:15.50  
                    Max.   :14.00   Max.   :19.00

My data is:

structure(list(id = c("00343", "00343", "00343", "00343", "00343", 
"00343", "00343", "00343", "00343", "00343", "00343", "00343", 
"00343", "00343"), week = c(14, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 
11, 12, 13), rating = c(14, 4, 12, 8, 14, 19, 16, 16, 7, 8, 9, 
18, 9, 6)), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, 
-14L), spec = structure(list(cols = list(id = structure(list(), class = c("collector_character", 
"collector")), week = structure(list(), class = c("collector_double", 
"collector")), rating = structure(list(), class = c("collector_double", 
"collector"))), default = structure(list(), class = c("collector_guess", 
"collector"))), class = "col_spec"))

My code is:

ggplot(graphing_dataframe, 
       aes(x = rating, y = week, fill = ..x..)
       ) +
  geom_density_ridges()

Picking joint bandwidth of 2.53
Error: geom_density_ridges requires the following missing aesthetics: y

I've tried using unlist per this question but that doesn't work either.

Upvotes: 20

Views: 21710

Answers (6)

user16574132
user16574132

Reputation: 21

y needs to be a categorical variable. You can try:

ggplot(graphing_dataframe, 
   aes(x = rating, y = as.factor(week), fill = ..x..))+
geom_density_ridges()

or

ggplot(graphing_dataframe, 
   aes(x = rating, y = as.character(week), fill = ..x..))+
geom_density_ridges()

Upvotes: 2

glensbo
glensbo

Reputation: 31

I have had succes with either of these two models inspired by the above discussion and the documentation: ggplot(CSVdotcsv, aes(x = TSH, y = as.factor(t))) + #as factor provides the legend for hour ggplot(CSVdotcsv, aes(x = TSH, y = t, group = t)) + # important to add group =

Upvotes: 0

chrka
chrka

Reputation: 311

Seems as if the error message is a bit misleading, according to the documentation you need to add a group aesthetic for numerical variables:

The grouping aesthetic does not need to be provided if a categorical variable is mapped onto the y axis, but it does need to be provided if the variable is numerical.

so adding group = week to ggplot(aes(…)) ought to do the trick. (Just had the same issue myself.)

Upvotes: 21

Thevandalyst
Thevandalyst

Reputation: 79

I have also noticed , if y is a factor this error will not pop up. try this :)

ggplot(graphing_dataframe, 
        aes(x = id, y=as.factor(rating))) +
  geom_density_ridges()

Upvotes: 6

NWaters
NWaters

Reputation: 1213

This question seems to be at the top of the list when googling this error message, so I thought I'd chime in: the other reason you can get this error is if you have your x and y switched:

For instance, with the above data (using id instead), this works:

ggplot(graphing_dataframe, 
        aes(x = rating, y = id)) +
  geom_density_ridges()

While this throws the error:

ggplot(graphing_dataframe, 
        aes(x = id, y=rating)) +
  geom_density_ridges()

Upvotes: 10

Frank B.
Frank B.

Reputation: 1873

As @JonnyPhelps commented my data is not compatible with a ridgeline plot (or vice versa).

Upvotes: 4

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