I have two plots I would like to combine. My data looks like this:
Year<-rep(2001:2005, each = 5)
name<-c("John","Ellen","Mark","Randy","Luisa")
Name<-c(rep(name,5))
Value<-sample(seq(0,25,by=1),25)
mydata<-data.frame(Year,Name,Value)
This is the first barplot:
tot<-aggregate(mydata$Value,list(mydata$Year),FUN=sum)
tot_y<-tot$x
tot_x<-tot$Group.1
tot_barplot <- ggplot(tot, aes(x=tot_x,y=tot_y)) +
geom_bar(stat = "identity",fill="#73D055FF") +
scale_y_continuous(limits = c(0, 125), breaks = seq(0, 125, by = 25)) +
#xlab("Pathways") +
#ylab("N° of species") +
theme(axis.line = element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_text(size=14,margin=margin(l=10),colour="black"),
axis.ticks = element_blank(),
axis.title=element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.background = element_blank())
tot_barplot
And this is the second plot:
p <- ggplot(mydata, aes(x=Year, y=Name, size = Value)) +
geom_point(aes(fill = Value,
alpha = I(as.numeric(Value > 0))), shape=21, colour = "black") +
scale_fill_viridis_c(option = "D", direction = -1,limits = c(1, 25), breaks=seq(1, 25, 5))+
scale_size_area(guide = "none") +
ylab("Name") +
theme(axis.line = element_blank(),
axis.text.x=element_text(size=11,margin=margin(b=10),colour="black"),
axis.text.y=element_text(size=13,margin=margin(l=10),colour="black",
face="italic"),
axis.ticks = element_blank(),
axis.title=element_text(size=18,face="bold"),
panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(),
legend.text = element_text(size=14),
legend.title = element_text(size=18))
p
I combine them like this:
grid.arrange(arrangeGrob(tot_barplot,p,nrow=2))
Now I would like to re-size the barplot to fit it better to the second plot (imagine that the original data produce a wider barplot where the bars start above the Name and end above the legend Value). I would like the bars of the barplot to be exactly centred above the line of points and the Year, but I am not very familiar with ggplot aesthetics.
Any suggestion would be appreciated. Thanks!
Related
This is my script for the plot,
data = data.frame(Kingdom = c("Bacteria", "Archaea"),
Total = c(273523, 2616))
sizeRange <- c(0,30)
library(ggplot2)
ggplot(data, aes(x=0,y=Kingdom,color=Kingdom)) +
geom_point(aes(size = Total,alpha=10),colour="blue",stroke=2) +
scale_size(range = sizeRange)+
theme_bw() +
theme(panel.border = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
axis.line = element_line(colour = "white"))
somebody, please tell me how can I get a connecting line between my y-axis label and the plot
My plot looks like this
I want something like this
A clean alternative would be to label the points directly, and remove the y-axis if wanted. e.g.:
ggplot(data, aes(x=0,y=Kingdom,color=Kingdom)) +
ggrepel::geom_text_repel(aes(label = Kingdom), vjust = -1,colour="black") +
geom_point(aes(size = Total),colour="blue",stroke=2) +
scale_size(range = sizeRange)+
theme_bw() +
theme(panel.border = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
axis.line = element_line(colour = "white"),
axis.text.y=element_blank(),
axis.title.y = element_blank(),
axis.ticks.y=element_blank())
you can manually add segments, but then the alpha of your points will kind of show them.
Here is a try, altought it's not perfect if the x axis expend.
ggplot(data, aes(x=0,y=Kingdom,color=Kingdom)) +
# Added the segments here before the points.
# I tried to alpha it but I can't figure out how to limit the
# segment to the point border.
geom_segment(x = rep(-100,2), xend = rep(0,2),
y = c(1, 2), yend = c(1,2),colour="blue", alpha = 10) +
geom_point(aes(size = Total,alpha=10),colour="blue",stroke=2) +
scale_size(range = sizeRange)+
theme_bw() + guides(alpha = "none") + # remove alpha from legend.
theme(panel.border = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
axis.line = element_line(colour = "white"))
I am trying to create a graph in R with ggplot. The graph is fine until I try to add labels with geom_text.
Data:
year <-c(2016,2017,2016,2017,2016,2017,2016,2017,2016,2017,2016,2017,2016,2017)
age <- c("0-15","0-15","16-25","16-25","26-35","26-35","36-45","36-45","46-55","46-55","56-65","56-65","66+","66+")
deaths <- c(10,4,40,33,38,28,23,22,18,22,13,16,44,33)
age_group <- factor(age)
fyear <- factor(year)
ideaths <- data.frame(fyear,age_group,deaths)
This is the code I have so far
ggplot(data = ideaths,mapping = aes(x = age_group, y=deaths,
fill=fyear)) +
geom_bar(position = "dodge", stat="identity", width=0.5) +
geom_text(label=deaths,vjust=-0.5) + ggtitle("Figure 8.") +
scale_fill_manual(values=c("#7F7F7F","#94D451")) +
scale_y_continuous(breaks=seq(0,55,5)) + theme_light() +
theme(panel.border = element_blank(), panel.grid.major.x =
element_blank(), panel.grid.minor.y =
element_blank(),panel.grid.major.y = element_line( size=.1,
color="grey"), axis.title = element_blank(), legend.position
= "bottom", legend.title=element_blank(), plot.title
=element_text(size=10))
Which gives me this graph:
I searched for how to align the labels with the bars and found position=position_dodge(width=0.9)
However, this puts the label over the wrong bar for me.
If anyone has any idea of how to fix this, or what is causing it in the first place it would be greatly appreciated!
You need to put label = deaths inside aes() so ggplot knows that it needs to use the deaths column inside ideaths data frame not the standalone deaths vector
library(ggplot2)
ggplot(data = ideaths, aes(x = age_group, y = deaths, fill = fyear)) +
geom_col(position = position_dodge(width = 0.9)) +
geom_text(aes(x = age_group, y = deaths + 3, label = deaths),
position = position_dodge(width = 0.9)) +
ggtitle("Figure 8.") +
scale_fill_manual(values = c("#7F7F7F", "#94D451")) +
scale_y_continuous(breaks = seq(0, 55, 5)) +
theme_light() +
theme(
panel.border = element_blank(),
panel.grid.major.x = element_blank(),
panel.grid.minor.y = element_blank(),
panel.grid.major.y = element_line(size = .1, color = "grey"),
axis.title = element_blank(), legend.position = "bottom",
legend.title = element_blank(), plot.title = element_text(size = 10)
)
Created on 2018-11-19 by the reprex package (v0.2.1.9000)
I'd like to make a forest plot for my project. Since it is not a typical forest plot built-in any R package, I found the first figure of this page is helpful to my goal, a side table accompanied with the forest plot:
https://mcfromnz.wordpress.com/2012/11/06/forest-plots-in-r-ggplot-with-side-table/
The code which produces that particular figure is pasted below (the original link:https://github.com/nzcoops/blog_code/blob/master/forest_plot.Rmd)
The problem that I ran into is in the "data_table" step. An error pop up when I type the following in R:
data_table
Error: Aesthetics must be either length 1 or the same as the data (28): yintercept
I guess the issue came from geom_hlinein data_table.
After some online search and some try-and-error, I still cannot get rid of that error message and wonder if I can get some help here. Thanks in advance for your help.
--Code that particular produce the first figure:
library(ggplot2)
library(gridExtra)
dat <- data.frame(group = factor(c("A","B","C","D","E","F","G"), levels=c("F","E","D","C","B","A","G")),
cen = c(3.1,2.0,1.6,3.2,3.6,7.6,NA),
low = c(2,0.9,0.8,1.5,2,4.2,NA),
high = c(6,4,2,6,5,14.5,NA))
theme_set(theme_bw())
theme_update(
axis.line = element_line(colour = "black"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
panel.background = element_blank(),
axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
plot.margin = unit(c(0,0,0,0), "lines"))
p <- ggplot(dat,aes(cen,group)) +
geom_point(size=5, shape=18) +
geom_errorbarh(aes(xmax = high, xmin = low), height = 0.15) +
geom_vline(xintercept = 1, linetype = "longdash") +
scale_x_continuous(breaks = seq(0,14,1), labels = seq(0,14,1)) +
labs(x="Adjusted Odds Ratio", y="")
data_table <- ggplot(lab, aes(x = V05, y = V0, label = format(V1, nsmall = 1))) +
geom_text(size = 4, hjust=0, vjust=0.5) + theme_bw() +
geom_hline(aes(yintercept=c(6.5,7.5))) +
theme(panel.grid.major = element_blank(),
legend.position = "none",
panel.border = element_blank(),
axis.text.x = element_text(colour="white"),#element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_line(colour="white"),#element_blank(),
plot.margin = unit(c(0,0,0,0), "lines")) +
labs(x="",y="") +
coord_cartesian(xlim=c(1,4.5))
lab <- data.frame(V0 = factor(c("A","B","C","D","E","F","G","A","B","C","D","E","F","G","A","B","C","D","E","F","G","A","B","C","D","E","F","G"),, levels=c("G","F","E","D","C","B","A")),
V05 = rep(c(1,2,3,4),each=7),
V1 = c("Occuption","Active","","Inactive","","Inactive","","Recreation","Inactive","","Active","","Inactive","","Gender","Men","Women","Men","Women","Men","Women","OR",3.1,2.0,1.6,3.2,3.6,7.6))
data_table <- ggplot(lab, aes(x = V05, y = V0, label = format(V1, nsmall = 1))) +
geom_text(size = 4, hjust=0, vjust=0.5) + theme_bw() +
geom_hline(aes(yintercept=c(6.5,7.5))) +
theme(panel.grid.major = element_blank(),
legend.position = "none",
panel.border = element_blank(),
axis.text.x = element_text(colour="white"),#element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_line(colour="white"),#element_blank(),
plot.margin = unit(c(0,0,0,0), "lines")) +
labs(x="",y="") +
coord_cartesian(xlim=c(1,4.5))
The easiest fix would be separating geom_hline into 2 different calls
data_table <- ggplot(lab, aes(x = V05, y = V0, label = format(V1, nsmall = 1))) +
geom_text(size = 4, hjust=0, vjust=0.5) + theme_bw() +
geom_hline(aes(yintercept=c(6.5))) +
geom_hline(aes(yintercept=c(7.5))) +
theme(panel.grid.major = element_blank(),
legend.position = "none",
panel.border = element_blank(),
axis.text.x = element_text(colour="white"),#element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_line(colour="white"),#element_blank(),
plot.margin = unit(c(0,0,0,0), "lines")) +
labs(x="",y="") +
coord_cartesian(xlim=c(1,4.5))
data_table
Created on 2018-03-31 by the reprex package (v0.2.0).
You don't need to use aes() with geom_hline (only use aes() if you want a horizontal line for every row of your data.) You can just do:
geom_hline(yintercept = c(6.5, 7.5))
This is explained in the help, see ?geom_hline for more details.
I have created a function to create a plot in ggplot2, one of the requirementes is to sort the bar chart according to the score results for each bar. For this, I have rearranged the data frame but when I try to use the scale_x_discrete with the function variable (Geog), it just doesnt work:
f_OS_RegionF <- function(Geog) {
#Carrier Mean Score###########
mean_c<-mean(co_dataa$Score)
###########################
#Region=deparse(substitute(Region))
data_carr<-co_dataa
ScorexGeog_C <- cast(data_carr, as.formula(paste(Geog,"Carrier",sep="~")), mean, value="Score")
names(ScorexGeog_C)[2] <- "Score"
ScorexGeog_C[2]<-round(ScorexGeog_C[2],digits=1)
ScorexGeog_C<- ScorexGeog_C[order(ScorexGeog_C$Score), ]
write.table(ScorexGeog_C,file="ScorexGeog_C_F_Check.csv",sep=",",row.names=F, col.names=T)
d <- ggplot(ScorexGeog_C, aes_string(x=Geog, y="Score", fill=Geog))+
geom_bar(stat="identity", colour="white")+
coord_flip()+
scale_fill_manual(values = coloress)+
scale_x_discrete(limits=paste("ScorexGeog_C",Geog,sep="$"))+
theme(axis.ticks = element_blank(), axis.title.y = element_blank(),axis.text.y = element_blank(), axis.title.x = element_blank(), axis.text.x = element_blank())+
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),panel.background = element_blank())+
theme(legend.position = "none") +
geom_text(data=ScorexGeog_C,aes_string(x=Geog,y="Score",label="Score"),colour="white",vjust=0.5,hjust=2,size=2.5, fontface="bold")+
geom_text(data=ScorexGeog_C,aes_string(x=Geog,y=0.3,label=Geog),colour="white", angle=0, vjust=0.5, hjust=0, fontface="bold",size=2)+
geom_hline(yintercept=mean_c, colour = "gray",linetype="solid", size =1, alpha=.8)
print(d)
}
I am trying to make a plot with no information beyond the data. No axes; no grid; no title; just the plot.
But I keep getting extra margins and padding that I can't remove.
library(ggplot2)
library(grid)
theme_bare <- theme(
axis.line = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
#axis.ticks.length = unit(0, "lines"), # Error
axis.ticks.margin = unit(c(0,0,0,0), "lines"),
legend.position = "none",
panel.background = element_rect(fill = "gray"),
panel.border = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.margin = unit(c(0,0,0,0), "lines"),
plot.background = element_rect(fill = "blue"),
plot.margin = unit(c(0,0,0,0), "lines")
)
ggplot() +
geom_area (data=economics, aes(x = date, y = unemploy), linetype=0) +
theme_bare
Produces this image:
What I want is this:
I can't figure out how to get rid of the blue and make the dark gray flush with the edges.
Could any one offer some advice?
Here is the way to plot only the panel region:
p <- ggplot() + geom_area (data=economics, aes(x = date, y = unemploy), linetype=0) +
scale_x_date(expand = c(0,0)) + scale_y_continuous(expand = c(0,0)) +
theme(line = element_blank(),
text = element_blank(),
title = element_blank())
gt <- ggplot_gtable(ggplot_build(p))
ge <- subset(gt$layout, name == "panel")
grid.draw(gt[ge$t:ge$b, ge$l:ge$r])
From ggplot2_2.0.0 you can use theme_void:
ggplot() +
geom_area(data = economics, aes(x = date, y = unemploy), linetype = 0) +
theme_void()
try
last_plot() + theme(axis.ticks.length = unit(0.001, "mm")) + labs(x=NULL, y=NULL)
you may want to file a bug for the 0 tick length.
If you just want to remove the grid in theme_bw(), you can use:
+ theme_bw() + theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())