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")
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")
Related
I am trying to make a stacked area chart:
library(ggplot2)
ggplot(data, aes(x = variable, y = value, fill = term)) +
geom_area()
But this leads to a blank plot.
Expected plot (example)
How can I do this?
data <- 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")
You are only missing the group aesthetic:
ggplot(data, aes(x = variable, y = value, group = term, fill = term)) +
geom_area(color = "black")
I am trying to make a faceted plot in ggplot2 where the y axis shows labels and the x axis should show line graphs with the value for each label in two different measures (which are on different scales). So far I have this:
Data <- structure(list(label = structure(
c(1L, 1L, 2L, 2L, 3L, 3L, 4L,
4L, 5L, 5L, 6L, 6L), .Label = c("A", "B", "C", "D", "E", "F"), class = "factor"),
facet = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L,
1L, 2L), .Label = c("A", "B"), class = "factor"), value = c(0.0108889081049711,
0.37984336540103, 0.0232500876998529, 0.777756493305787,
0.0552913920022547, 0.920194681268185, 0.0370863009011373,
0.114463779143989, 0.00536034172400832, 0.469208759721369,
0.0412159096915275, 0.587875489378348), group = c(1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1)), .Names = c("label", "facet",
"value", "group"), row.names = c(NA, -12L), class = "data.frame")
ggplot(Data, aes(x = label, y = value, group = group)) + geom_line() +
facet_grid(~ facet, scales = "free") + coord_flip()
Which creates the following plot:
The problem is that the measures are on different scales and I would prefer the A plot to have x limits from 0 to 0.1 and the B plot to have x limits from 0 to 1. I thought scales = "free" should fix this but it doesn't change the plot.
I came up with something similar to df239:
ggplot(Data, aes(y = label, x = value, group=group)) + geom_path() +
facet_wrap( ~ facet, scales = "free")
Note you have to use geom_path, and take care with the ordering of your points because just switching x and y is not the same as coord_flip (which as noted in the other answer isn't supported with facet_wrap).
Change axes orientation manually, the problem is: *ggplot2 does not currently support free scales with a non-cartesian coord or coord_flip.*
ggplot(Data, aes(y = label, x = value, group = group)) + geom_line() +
facet_grid(~ facet, scales = "free")
I am trying to make a faceted plot in ggplot2 where the y axis shows labels and the x axis should show line graphs with the value for each label in two different measures (which are on different scales). So far I have this:
Data <- structure(list(label = structure(
c(1L, 1L, 2L, 2L, 3L, 3L, 4L,
4L, 5L, 5L, 6L, 6L), .Label = c("A", "B", "C", "D", "E", "F"), class = "factor"),
facet = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L,
1L, 2L), .Label = c("A", "B"), class = "factor"), value = c(0.0108889081049711,
0.37984336540103, 0.0232500876998529, 0.777756493305787,
0.0552913920022547, 0.920194681268185, 0.0370863009011373,
0.114463779143989, 0.00536034172400832, 0.469208759721369,
0.0412159096915275, 0.587875489378348), group = c(1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1)), .Names = c("label", "facet",
"value", "group"), row.names = c(NA, -12L), class = "data.frame")
ggplot(Data, aes(x = label, y = value, group = group)) + geom_line() +
facet_grid(~ facet, scales = "free") + coord_flip()
Which creates the following plot:
The problem is that the measures are on different scales and I would prefer the A plot to have x limits from 0 to 0.1 and the B plot to have x limits from 0 to 1. I thought scales = "free" should fix this but it doesn't change the plot.
I came up with something similar to df239:
ggplot(Data, aes(y = label, x = value, group=group)) + geom_path() +
facet_wrap( ~ facet, scales = "free")
Note you have to use geom_path, and take care with the ordering of your points because just switching x and y is not the same as coord_flip (which as noted in the other answer isn't supported with facet_wrap).
Change axes orientation manually, the problem is: *ggplot2 does not currently support free scales with a non-cartesian coord or coord_flip.*
ggplot(Data, aes(y = label, x = value, group = group)) + geom_line() +
facet_grid(~ facet, scales = "free")
I have a very skewed bar chart in ggplot2.
Here's the dput text output:
structure(list(Name = structure(c(1L, 3L, 4L, 5L, 6L, 2L, 1L,
3L, 4L, 5L, 6L, 2L), .Label = c("A", "Average", "B", "C", "D",
"E"), class = "factor"), variable = structure(c(1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("Undiscounted", "Discounted"
), class = "factor"), value = c(18453601.4400001, 11941354.11,
10748756.04, 6488253.74000001, 6078914.73000002, 2509377.50173653,
1157538776.56, 833907589.89, 674006380.96, 574466340.26, 534854603.27,
13191411.5509581)), row.names = c(NA, -12L), .Names = c("Name",
"variable", "value"), class = "data.frame")
Here's the code I use to plot it:
library(ggplot2)
text_size= 18
label_bottom_size=18
plot1<- ggplot(df1, aes(x = Name, y = value, fill = variable)) +
geom_bar(stat = "identity")+
ggtitle(sprintf("Bar chart of Stuff" ))+
theme(axis.title=element_text(size=text_size))+
theme(plot.title=element_text(size=text_size+20))+
theme(axis.text.x= element_text(size=label_bottom_size))+
theme(axis.text.y= element_text(size=text_size))+
theme(legend.text = element_text(size=text_size))+
theme(legend.title = element_text(size=text_size))
As some of the bar charts are so small and text doesn't fit, what I want to do is just have a (X%/Y%) above each bar that shows the percentage breakout. The values shown are in dollars.
Thank you!
This is some hack using data.table for aggregating the data and then displaying it with geom_text (there are probably better ways though)
library(data.table)
temp <- data.table(df1)[, per := (value/sum(value))*100, by = Name]
temp <- temp[, list(value = sum(value),
per = paste(sprintf("%.02f%%", per), collapse = " / "),
variable = variable), by = Name]
library(ggplot2)
text_size= 18
label_bottom_size=18
ggplot(df1, aes(x = Name, y = value, fill = variable)) +
geom_bar(stat = "identity")+
ggtitle(sprintf("Bar chart of Stuff" ))+
theme(axis.title=element_text(size=text_size),
plot.title=element_text(size=text_size+20),
axis.text.x= element_text(size=label_bottom_size),
axis.text.y= element_text(size=text_size),
legend.text = element_text(size=text_size),
legend.title = element_text(size=text_size)) +
geom_text(data = temp, aes(x = Name, y = value, label = per), vjust=-0.3)
I have the need to place labels above bars on ggplot. I used to use the method found (HERE) but this does not appear to work anymore since my ggplot2 update as I now get the error message:
Error in continuous_scale(c("y", "ymin", "ymax", "yend", "yintercept", :
unused argument(s) (formatter = "percent")
How can I again plot numeric values above the bars when using the example:
df <- structure(list(A = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L,
3L), .Label = c("0-50,000", "50,001-250,000", "250,001-Over"), class = "factor"),
B = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), .Label = c("0-50,000",
"50,001-250,000", "250,001-Over"), class = "factor"), Freq = c(0.507713884992987,
0.258064516129032, 0.23422159887798, 0.168539325842697, 0.525280898876405,
0.306179775280899, 0.160958904109589, 0.243150684931507,
0.595890410958904)), .Names = c("A", "B", "Freq"), class = "data.frame", row.names = c(NA,
-9L))
library(ggplot2)
ggplot(data=df, aes(x=A, y=Freq))+
geom_bar(aes(fill=B), position = position_dodge()) +
geom_text(aes(label = paste(sprintf("%.1f", Freq*100), "%", sep=""),
y = Freq+0.015, x=A),
size = 3, position = position_dodge(width=0.9)) +
scale_y_continuous(formatter = "percent") +
theme_bw()
Running R 2.15 ggplot2 0.9 on a win 7 machine
The error is from the scale_y_continuous call. Formatting of labels is now handled by the labels argument. See the ggplot2 0.9.0 transition guide for more details.
There was another problem with the labels not lining up correctly; I fixed that by adding a group=B to the aesthetics for the geom_text; I'm not quite sure why this is necessary, though. I also took out x=A from the geom_text aesthetics because it was not needed (it would be inherited from the ggplot call.
library("ggplot2")
library("scales")
ggplot(data=df, aes(x=A, y=Freq))+
geom_bar(aes(fill=B), position = position_dodge()) +
geom_text(aes(label = paste(sprintf("%.1f", Freq*100), "%", sep=""),
y = Freq+0.015, group=B),
size = 3, position = position_dodge(width=0.9)) +
scale_y_continuous(labels = percent) +
theme_bw()