How can I make a fractional bar plot?
1
When I do this:
ggplot(d, aes(x=variable, fill=value))+geom_bar(position = "fill")
I get this
But I want something like this, basically the values should be colored by fraction. How can I do this? The idea is to basically see the relative contribution of models, percentiles, and models:percentiles for each of R2, R5, and R10.
dataframe
structure(list(term = c("models", "percentiles", "models:percentiles",
"models", "percentiles", "models:percentiles", "models", "percentiles",
"models:percentiles"), variable = structure(c(1L, 1L, 1L, 2L,
2L, 2L, 3L, 3L, 3L), .Label = c("R2", "R5", "R10"), class = "factor"),
value = c(0.435697205847009, 0.533615307749147, 0.0306874864038442,
0.441369621882273, 0.520198994695284, 0.0384313834224421,
0.394491546635206, 0.579421546902868, 0.0260869064619254)), row.names = c(NA,
-9L), class = "data.frame")
r ggplot2
asked Nov 26 '18 at 23:46
maximusdookumaximusdooku
1,48221445
add a comment |
1
When I do this:
ggplot(d, aes(x=variable, fill=value))+geom_bar(position = "fill")
I get this
But I want something like this, basically the values should be colored by fraction. How can I do this? The idea is to basically see the relative contribution of models, percentiles, and models:percentiles for each of R2, R5, and R10.
dataframe
structure(list(term = c("models", "percentiles", "models:percentiles",
"models", "percentiles", "models:percentiles", "models", "percentiles",
"models:percentiles"), variable = structure(c(1L, 1L, 1L, 2L,
2L, 2L, 3L, 3L, 3L), .Label = c("R2", "R5", "R10"), class = "factor"),
value = c(0.435697205847009, 0.533615307749147, 0.0306874864038442,
0.441369621882273, 0.520198994695284, 0.0384313834224421,
0.394491546635206, 0.579421546902868, 0.0260869064619254)), row.names = c(NA,
-9L), class = "data.frame")
r ggplot2
asked Nov 26 '18 at 23:46
maximusdookumaximusdooku
1,48221445
add a comment |
1
1
1
When I do this:
ggplot(d, aes(x=variable, fill=value))+geom_bar(position = "fill")
I get this
But I want something like this, basically the values should be colored by fraction. How can I do this? The idea is to basically see the relative contribution of models, percentiles, and models:percentiles for each of R2, R5, and R10.
dataframe
structure(list(term = c("models", "percentiles", "models:percentiles",
"models", "percentiles", "models:percentiles", "models", "percentiles",
"models:percentiles"), variable = structure(c(1L, 1L, 1L, 2L,
2L, 2L, 3L, 3L, 3L), .Label = c("R2", "R5", "R10"), class = "factor"),
value = c(0.435697205847009, 0.533615307749147, 0.0306874864038442,
0.441369621882273, 0.520198994695284, 0.0384313834224421,
0.394491546635206, 0.579421546902868, 0.0260869064619254)), row.names = c(NA,
-9L), class = "data.frame")
r ggplot2
asked Nov 26 '18 at 23:46
maximusdookumaximusdooku
1,48221445
When I do this:
ggplot(d, aes(x=variable, fill=value))+geom_bar(position = "fill")
I get this
But I want something like this, basically the values should be colored by fraction. How can I do this? The idea is to basically see the relative contribution of models, percentiles, and models:percentiles for each of R2, R5, and R10.
dataframe
structure(list(term = c("models", "percentiles", "models:percentiles",
"models", "percentiles", "models:percentiles", "models", "percentiles",
"models:percentiles"), variable = structure(c(1L, 1L, 1L, 2L,
2L, 2L, 3L, 3L, 3L), .Label = c("R2", "R5", "R10"), class = "factor"),
value = c(0.435697205847009, 0.533615307749147, 0.0306874864038442,
0.441369621882273, 0.520198994695284, 0.0384313834224421,
0.394491546635206, 0.579421546902868, 0.0260869064619254)), row.names = c(NA,
-9L), class = "data.frame")
r ggplot2
r ggplot2
asked Nov 26 '18 at 23:46
maximusdookumaximusdooku
1,48221445
asked Nov 26 '18 at 23:46
maximusdookumaximusdooku
1,48221445
asked Nov 26 '18 at 23:46
maximusdookumaximusdooku
1,48221445
asked Nov 26 '18 at 23:46
maximusdookumaximusdooku
1,48221445
asked Nov 26 '18 at 23:46
maximusdookumaximusdooku
1,48221445
1,48221445
add a comment |
add a comment |
1 Answer
1
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oldest
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2
geom_col does the job here:
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_col()
or
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_bar(stat = "identity")
answered Nov 27 '18 at 0:00
Julius VainoraJulius Vainora
37.9k76584
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
2
geom_col does the job here:
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_col()
or
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_bar(stat = "identity")
answered Nov 27 '18 at 0:00
Julius VainoraJulius Vainora
37.9k76584
add a comment |
2
geom_col does the job here:
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_col()
or
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_bar(stat = "identity")
answered Nov 27 '18 at 0:00
Julius VainoraJulius Vainora
37.9k76584
add a comment |
2
2
2
geom_col does the job here:
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_col()
or
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_bar(stat = "identity")
answered Nov 27 '18 at 0:00
Julius VainoraJulius Vainora
37.9k76584
geom_col does the job here:
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_col()
or
ggplot(d, aes(x = variable, y = value, fill = term)) + geom_bar(stat = "identity")
answered Nov 27 '18 at 0:00
Julius VainoraJulius Vainora
37.9k76584
answered Nov 27 '18 at 0:00
Julius VainoraJulius Vainora
37.9k76584
answered Nov 27 '18 at 0:00
Julius VainoraJulius Vainora
37.9k76584
answered Nov 27 '18 at 0:00
Julius VainoraJulius Vainora
37.9k76584
37.9k76584
add a comment |
add a comment |
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