stacked density plot with gg plot in R

The name of the picture


stacked density plot with gg plot in R



I fail to plot correcly my stacked density chart



here is my data structure


data


Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 8517 obs. of 3 variables:
$ time : num -500 -499 -498 -497 -496 -495 -494 -493 -492 -491 ...
$ series: Factor w/ 17 levels "V1","V2","V3",..: 1 1 1 1 1 1 1 1 1 1 ...
$ value : num 0.0788 0.0625 0.0455 0.0323 0.0426 ...



and here is my code


ggplot(data=data,aes(x=time, group=data$series, fill=data$series)) +
geom_density(adjust=1.5, position="fill")



but it plots me horizontal lines



enter image description here



Instead I would like it plots me something like that



enter image description here



If anyone has any idea? I would appreciate. Thanks



here is my data structure


dput(head(data))
structure(list(time = c(-500, -499, -498, -497, -496, -495),
series = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("V1",
"V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11",
"V12", "V13", "V14", "V15", "V16", "V17"), class = "factor"),
value = c(0.0787576635451054, 0.0625, 0.0455255463892602,
0.0322986577181208, 0.0426306596802365, 0.0369765758489718
)), row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"
))





How can I plot y value? ,this command aes(x=time,y = value, group=series, fill=series) returns me Warning message: Removed 8192 rows containing missing values (position_stack).
– nico dm
32 mins ago





Copy exactly the output from dput() and update your question above, not here in the comments, thanks.
– RLave
17 mins ago


dput()





stackoverflow.com/questions/5963269/… see here for any questions, it's a guide for a reproducible example.
– RLave
17 mins ago





ok I understand :)
– nico dm
7 mins ago




2 Answers
2



Does this work for you?


ggplot(data, aes(x=time, fill = series)) +
geom_density(adjust=1.5, position="fill")



My bad, initially I got the wrong idea, you were almost there.



Just remove data$.


data$



For the sake of illustrating it with multiple factors, I changed it a tad.


df <- structure(list(time = c(-500, -499, -498, -497, -496, -495),
series = structure(c(1L, 1L, 2L, 2L, 3L, 3L), .Label = c("V1",
"V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11",
"V12", "V13", "V14", "V15", "V16", "V17"), class = "factor"),
value = c(0.0787576635451054, 0.0625, 0.0455255463892602,
0.0322986577181208, 0.0426306596802365, 0.0369765758489718
)), row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"
))


ggplot(df, aes(x = time)) +
geom_density(stat = "density", aes(fill = series), position = "stack") # or fill if you want proportions






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