This is my barplot right now:
The corresponding code looks as follows:
ggplot(data, aes(x = ID, y = f0.mean, fill = Entscheidung )) +
geom_bar(stat = "identity")
I would like to have the bars sorted by their fill attribute (e.g. all red bars should end up on the left and all green bars on the right).
Is there a way I can do this?
The solution is to reorder the levels of the ID factor.
# Generate data for the example
set.seed(2345)
data <- data.frame(f0.mean=rnorm(50)*20+300, ID = paste0("ID",1:50),
Entscheidung = factor(sample(1:3,50, replace=T),labels=c("Chance","Tor","Unentschieden")))
# Reorder ID grouping bars by Entscheidung
idx <- order(data$Entscheidung, data$ID)
data$ID <- factor(data$ID, levels=data$ID[idx])
ggplot(data, aes(x = ID, y = f0.mean, fill = Entscheidung)) +
geom_bar(stat = "identity") +
scale_fill_manual(values = c("#F8766D", "#619CFF", "#00BA38"))
Related
I have a data frame and I would like to stack the points that have overlaps exactly on top of each other.
here is my example data:
value <- c(1.080251e-04, 1.708859e-01, 1.232473e-05, 4.519876e-03,2.914256e-01, 5.869711e-03, 2.196347e-01,4.124873e-01, 5.914052e-03, 2.305623e-03, 1.439013e-01, 5.407597e-03, 7.530298e-02, 7.746897e-03)
names = letters[1:7]
data <- data.frame(names = rep(names,), group = group, value = value, stringsAsFactors = T)
group <- c(rep("AA", 7) , rep("BB", 7))
I am using the following command:
p <- ggplot(data, aes(x = names, y = "", color = group)) +
geom_point(aes(size = -log(value)), position = "stack")
plot(p)
But the stacked circle outlines out of the grid. I want it close or exactly next to the bottom circle. do you have any idea how I can fix the issue?
Thanks,
The y-axis has no numeric value, so use the group instead. And we don't need the color legend now since the group labels are shown on the y-axis.
ggplot(data, aes(x = names, y = group, color = group)) +
geom_point(aes(size = -log(value))) +
guides(color=FALSE)
I have a boxplot with multiple groups in R.
When i add the dots within the boxplots, they are not in the center.
Since each week has a different number of boxplots, the dots are not centered within the box.
The problem is in the geom_point part.
I uploaded my data of df.m in a text file and a figure of what i get.
I am using ggplot, and here is my code:
setwd("/home/usuario")
dput("df.m")
df.m = read.table("df.m.txt")
df.m$variable <- as.factor(df.m$variable)
give.n = function(elita){
return(c(y = median(elita)*-0.1, label = length(elita)))
}
p = ggplot(data = df.m, aes(x=variable, y=value))
p = p + geom_boxplot(aes(fill = Label))
p = p + geom_point(aes(fill = Label), shape = 21,
position = position_jitterdodge(jitter.width = 0))
p = p + stat_summary(fun.data = give.n, geom = "text", fun.y = median)
p
Here is my data in a text file:
https://drive.google.com/file/d/1kpMx7Ao01bAol5eUC6BZUiulLBKV_rtH/view?usp=sharing
Only in variable 12 is in the center, because there are 3 groups (the maximum of possibilities!
I would also like to show the counting of observations. If I use the code shown, I can only get the number of observations for all the groups. I would like to add the counting for EACH GROUP.
Thank you in advance
enter image description here
Here's a solution using boxplot and dotplot and an example dataset:
library(tidyverse)
# example data
dt <- data.frame(week = c(1,1,1,1,1,1,1,1,1,
2,2,2,2,2,2,2,2,2),
value = c(6.40,6.75,6.11,6.33,5.50,5.40,5.83,4.57,5.80,
6.00,6.11,6.40,7.00,3,5.44,6.00,5,6.00),
donor_type = c("A","A","A","A","CB","CB","CB","CB","CB",
"CB","CB","CB","CB","CB","A","A","A","A"))
# create the plot
ggplot(dt, aes(x = factor(week), y = value, fill = donor_type)) +
geom_boxplot() +
geom_dotplot(binaxis='y', stackdir='center', position = position_dodge(0.75))
You should be able to adjust my code to your real dataset easily.
Edited answer with OP's dataset:
Using some generated data and geom_point():
library(tidyverse)
df.m <- df.m %>%
mutate(variable = as.factor(variable)) %>%
filter(!is.na(value))
ggplot(df.m, aes(x = variable, y = value, fill = Label)) +
geom_boxplot() +
geom_point(shape = 21, position = position_jitterdodge(jitter.width = 0)) +
scale_x_discrete("variable", drop = FALSE)
I'm little bit stuck on ggplot2 trying to plot several data frame in one plot.
I have several data frame here I'll present just two exemples.
The data frame have the same Header but are different. Let say that I want to count balls that I have in 2 boxes.
name=c('red','blue','green','purple','white','black')
value1=c(2,3,4,2,6,8)
value2=c(1,5,7,3,4,2)
test1=data.frame("Color"=name,"Count"=value1)
test2=data.frame("Color"=name,"Count"=value2)
What I'm trying to do it's to make a bar plot of my count.
At the moment what I did it's :
(plot_test=ggplot(NULL, aes(x= Color, y=Count)) +
geom_bar(data=test1,stat = "identity",color='green')+
geom_bar(data=test2,stat = "identity",color='blue')
)
I want to have x=Color and y=Count, and barplot of test2 data frame next to test1. Here there are overlapping themselves. So I'll have same name twice in x but I want to plot the data frames in several color and got in legend the name.
For example "Green bar" = test1
"Blue bar" = test2
Thank you for your time and your help.
Best regards
You have two options here:
Either tweak the size and position of the bars
ggplot(NULL, aes(x= Color, y=Count)) +
geom_bar(data=test1, aes(color='test1'), stat = "identity",
width=.4, position=position_nudge(x = -0.2)) +
geom_bar(data=test2, aes(color='test2'), stat = "identity",
width=.4, position=position_nudge(x = 0.2))
or what I recommend is join the two data frames together and then plot
library(dplyr)
test1 %>%
full_join(test2, by = 'Color') %>%
data.table::melt(id.vars = 'Color') %>%
ggplot(aes(x= Color, y=value, fill = variable)) +
geom_bar(stat = "identity", position = 'dodge')
Try this:
name=c('red','blue','green','purple','white','black')
value1=c(2,3,4,2,6,8)
value2=c(1,5,7,3,4,2)
test1=data.frame("Color"=name,"Count"=value1)
test2=data.frame("Color"=name,"Count"=value2)
test1$var <- 'test1'
test2$var <- 'test2'
test_all <- rbind(test1,test2)
(plot_test=ggplot(data=test_all) +
geom_bar(aes(x=Color,y=Count,color=var),
stat = "identity", position=position_dodge(1))+
scale_color_manual(values = c('green', 'blue'))
)
This will do what you were trying to do:
balls <- data.frame(
count = c(c(2,3,4,2,6,8),c(1,5,7,3,4,2)),
colour = c(c('red','blue','green','purple','white','black'),c('red','blue','green','purple','white','black')),
box = c(rep("1", times = 6), rep("2", times = 6))
)
ggplot(balls, aes(x = colour, y = count, fill = box)) +
geom_col() +
scale_fill_manual(values = c("green","blue"))
This is better because it facilitates comparisons between the box counts:
ggplot(balls, aes(x = colour, y = count)) +
geom_col() +
facet_wrap(~ box, ncol = 1, labeller = as_labeller(c("1" = "Box #1", "2" = "Box #2")))
I'm hoping to use ggplot2 to generate a set of stacked bars in pairs, much like this:
With the following example data:
df <- expand.grid(name = c("oak","birch","cedar"),
sample = c("one","two"),
type = c("sapling","adult","dead"))
df$count <- sample(5:200, size = nrow(df), replace = T)
I would want the x-axis to represent the name of the tree, with two bars per tree species: one bar for sample one and one bar for sample two. Then the colors of each bar should be determined by type.
The following code generates the stacked bar with colors by type:
ggplot(df, aes(x = name, y = count, fill = type)) + geom_bar(stat = "identity")
And the following code generates the dodged bars by sample:
ggplot(df, aes(x = name, y = count, group = sample)) + geom_bar(stat = "identity", position = "dodge")
But I can't get it to dodge one of the groupings (sample) and stack the other grouping (type):
ggplot(df, aes(x = name, y = count, fill = type, group = sample)) + geom_bar(stat = "identity", position = "dodge")
One workaround would be to put interaction of sample and name on x axis and then adjust the labels for the x axis. Problem is that bars are not put close to each other.
ggplot(df, aes(x = as.numeric(interaction(sample,name)), y = count, fill = type)) +
geom_bar(stat = "identity",color="white") +
scale_x_continuous(breaks=c(1.5,3.5,5.5),labels=c("oak","birch","cedar"))
Another solution is to use facets for name and sample as x values.
ggplot(df,aes(x=sample,y=count,fill=type))+
geom_bar(stat = "identity",color="white")+
facet_wrap(~name,nrow=1)
If I want to order the bars in a ggplot2 barchart from largest to smallest, then I'd usually update the factor levels of the bar category, like so
one_group <- data.frame(
height = runif(5),
category = gl(5, 1)
)
o <- order(one_group$height, decreasing = TRUE)
one_group$category <- factor(one_group$category, levels = one_group$category[o])
p_one_group <- ggplot(one_group, aes(category, height)) +
geom_bar(stat = "identity")
p_one_group
If have have several groups of barcharts that I'd like in different facets, with each facet having bars ordered from largest to smallest (and different x-axes) then the technique breaks down.
Given some sample data
two_groups <- data.frame(
height = runif(10),
category = gl(5, 2),
group = gl(2, 1, 10, labels = letters[1:2])
)
and the plotting code
p_two_groups <- ggplot(two_groups, aes(category, height)) +
geom_bar(stat = "identity") +
facet_grid(. ~ group, scales = "free_x")
p_two_groups
what do I need to do to get the bar ordering right?
If it helps, an equivalent problem to solve is: how do I update factor levels after I've done the faceting?
here is a hack:
two_groups <- transform(two_groups, category2 = factor(paste(group, category)))
two_groups <- transform(two_groups, category2 = reorder(category2, rank(height)))
ggplot(two_groups, aes(category2, height)) +
geom_bar(stat = "identity") +
facet_grid(. ~ group, scales = "free_x") +
scale_x_discrete(labels=two_groups$category, breaks=two_groups$category2)
make UNIQUE factor variable for all entries (category2)
reorder the variable based on the height
plot on the variable: aes(x=category2)
re-label the axis using original value (category) for the variable (category2) in scale_x_discrete.
Here is a hack to achieve what you want. I was unable to figure out how to get the category values below the tick marks. So if someone can help fix that, it would be wonderful. Let me know if this works
# add a height rank variable to the data frame
two_groups = ddply(two_groups, .(group), transform, hrank = rank(height));
# plot the graph
p_two_groups <- ggplot(two_groups, aes(-hrank, height)) +
geom_bar(stat = "identity") +
facet_grid(. ~ group, scales = "free_x") +
opts(axis.text.x = theme_blank()) +
geom_text(aes(y = 0, label = category, vjust = 1.5))