How to change certain aesthetics of facet_grid ggplot? - r

I created this plot using facet_grid and patchwork because I needed to have a customized secondary y-axis for each of the parameter and they all have different scale. I have successfully tweaked most of the aesthetics to match with what I need for the graph except for a couple of places:
Matching color with "site." I would like to match red, blue, and green to Port, Bluff, and Palm respectively. It didn't work with the code I have in scale_color_manual.
Renaming the strip text. I tried using expression(paste()) before but it wasn't working, especially with greek letter. I would like to have these respective stip text on the right for each row: ETR[max], ɑ, and E[k].
Letter in the [] are subscripts.
Thank you for any pointers. I ran out of things to try to make this week, especially with the strip texts.
My dataframe: data file
My codes are:
abrv_mo <- with (params, month.abb[month]) params <- transform(params, month = abrv_mo) params <- params[order(match(params$month, month.abb)), ] params$month <- factor(params$month, month.abb, ordered = TRUE) params$month<- as.Date(ISOdate(2019, as.numeric(params$month), 15))
p1 <- ggplot() + geom_hline(yintercept = 19.6, linetype = "dashed")
+ geom_line(data = tmpr2,
aes(month, tmp*0.98),
alpha = 0.4) + geom_errorbar(data = subset(params, variable == "max"),
aes(x= month, ymin = mean - se, ymax = mean +se, color = site),
width = 8) + geom_point(data = subset(params, variable == "max"),
aes(x=month, y=mean, color = site, group=site),
size = 2.5) + facet_grid(rows = vars(variable),
cols = vars(site),
switch = "y", scale = "free_y") + scale_x_date(name = NULL, date_labels = "%b",
seq(as.Date("2019-01-15"),
as.Date("2019-07-15"), by = "1 month")) + # ?strftime() for more options scale_y_continuous(limits = c(5,40), breaks = seq(5, 40, by = 15),
expand = c(0,0),
sec.axis = sec_axis(~./0.98)) + scale_color_manual(name = "Site",
labels = c("Port", "Bluff", "Palm"),
values = c("#FC4E07","#00AFBB", "#C3D7A4")) + theme_bw() + theme(plot.background = element_blank(),
strip.background = element_blank(),
strip.placement = "outside",
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_rect(size=1, colour = "black"),
panel.spacing = unit(0.3, "lines"),
axis.line = element_line(size=0.1, colour = "black"),
axis.ticks.y = element_line(size=0.5, colour = "black"),
axis.text.x = element_blank(),
axis.text.y = element_text(size=10, color="black", margin = margin(t = 0.5, l = 0.5)),
text = element_text(size = 18),
legend.position="none",
plot.margin=margin(l = -1, unit = "cm")) + ylab(NULL)
p2 <- ggplot() + geom_hline(yintercept = 0.16, linetype = "dashed")
+ geom_line(data = tmpr2,
aes(month, tmp*0.008),
alpha = 0.4) + geom_errorbar(data = subset(params, variable=="slope"),
aes(x= month, ymin = mean - se, ymax = mean +se, color = site),
width = 8) + geom_point(data = subset(params, variable == "slope"),
aes(x=month, y=mean, color=site, group=site),
size = 2.5) + facet_grid(rows = vars(variable),
cols = vars(site),
switch = "y",
scale = "free_y") + scale_x_date(name = NULL, date_labels = "%b",
seq(as.Date("2019-01-15"),
as.Date("2019-07-15"), by = "1 month")) + # ?strftime() for more options scale_y_continuous(breaks = seq(0.15,
0.26, by = 0.05),
expand = c(0,0),
limits = c(0.15,0.26),
sec.axis = sec_axis(~./0.008, name = "Temperature (°C)")) + scale_color_manual(name = "Site",
labels = c("Port", "Bluff", "Palm"),
values = c("#FC4E07","#00AFBB", "#C3D7A4")) + theme_bw() + theme(plot.background = element_blank(),
strip.background = element_blank(),
strip.placement = "outside",
strip.text.x = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_rect(size=1, colour = "black"),
panel.spacing = unit(0.3, "lines"),
axis.line = element_line(size=0.1, colour = "black"),
axis.ticks.y = element_line(size=0.5, colour = "black"),
axis.text.x = element_blank(),
axis.text.y = element_text(size=10, color="black", margin = margin(t = 0.5, l = 0.5)),
axis.text.y.right = element_text(size=10, color="black", margin = margin(t = 0.5, r = 10)),
text = element_text(size = 18),
legend.position="none",
plot.margin=margin(l = -1.5, unit = "cm")) + ylab(NULL)
p3 <- ggplot() + geom_hline(yintercept = 140, linetype = "dashed") + geom_line(data = tmpr2,
aes(month, tmp*7),
alpha = 0.4) + geom_errorbar(data = subset(params, variable=="ek"),
aes(x= month, ymin = mean - se, ymax = mean +se, color = site),
width = 8) + geom_point(data = subset(params, variable=="ek"),
aes(x=month, y=mean, color=site, group=site),
size = 2.5) + facet_grid(rows = vars(variable),
cols = vars(site),
switch = "y",
scale = "free_y") + scale_x_date(name = NULL, date_labels = "%b",
seq(as.Date("2019-01-15"),
as.Date("2019-07-15"), by = "1 month")) + # ?strftime() for more options scale_y_continuous(expand = c(0,0),
breaks = seq(25, 250, by = 100),
limits = c(25,250),
sec.axis = sec_axis(~./7)) + scale_color_manual(name = "Site",
labels = c("Port", "Bluff", "Palm"),
values = c("#FC4E07","#00AFBB", "#C3D7A4")) + theme_bw() + theme(plot.background = element_blank(),
strip.background = element_blank(),
strip.placement = "outside",
strip.text.x = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_rect(size=1, colour = "black"),
panel.spacing = unit(0.3, "lines"),
axis.line = element_line(size=0.1, colour = "black"),
axis.ticks.y = element_line(size=0.5, colour = "black"),
axis.text.x = element_text(angle = 45,size=10, color="black", hjust = 1,
margin = margin(t = 0.5, r = 0.5)),
axis.text.y = element_text(size=10, color="black", margin = margin(t = 0.5, l = 0.5)),
text = element_text(size = 18),
legend.position="none",
plot.margin=margin(l = -1.5, unit = "cm")) + ylab(NULL)
library(patchwork)
p1 + p2 + p3 + plot_layout(ncol = 1)

Related

Barplot - stacked ggplot percentage barplot starting value NOT 0%

I have a plot like this:
library(ggplot2)
library(reshape2)
library(ggh4x)
data <- data.frame(col1=c("Sample1","Sample2","Sample3","Sample4","Sample5","Sample6"),
col2=c(0.5,0.1,0.4,0.05,0.05,0.9),
col3=c(0.6,0.1,0.3,0.1,0.1,0.8),
col4=c(0.5,0.3,0.2,0.05,0.15,0.8),
col5=c("a","a","a","b","b","b"),
col6=c("c","c","c","c","c","c"))
data2 <- melt(data)
ggplot(data=data2, aes(x = variable, y = value, fill=col1))+
geom_bar(position="stack", stat="identity")+
scale_fill_manual(values=c("#e6194B","#ffe119","#f58231","#911eb4","#42d4f4","#bfef45")) +
scale_y_continuous(expand = c(0, 0),labels = scales::percent) +
facet_nested(~col6 + ~col5, scales = "free_x",space = "free_x",switch = "x") +
ggtitle("Title") +
theme_classic() +
theme(strip.text.y = element_text(angle=0),legend.position = "right",
legend.key.size = unit(0.4, 'cm'),
axis.line = element_line(colour = "black"),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1),
strip.placement = "outside",
strip.background = element_rect(color = "white", fill = "white"),
axis.title = element_blank()) +
guides(fill=guide_legend(title=NULL, ncol = 1)) +
xlab("X axis") +
ylab("Y axis")
Which creates a barplot like this:
Please take a look
My question is simple, how can I set y-axis starting value to 10% instead of 0% (without changing the code too much). All answers are greatly appreciated! (Similar questions are checked, without success...)
While in general not recommended for bar charts one option to "set" the starting point would be to set the limits via coord_cartesian:
library(ggplot2)
library(ggh4x)
ggplot(data = data2, aes(x = variable, y = value, fill = col1)) +
geom_bar(position = "stack", stat = "identity") +
scale_fill_manual(values = c("#e6194B", "#ffe119", "#f58231", "#911eb4", "#42d4f4", "#bfef45")) +
scale_y_continuous(expand = c(0, 0), labels = scales::percent) +
facet_nested(~ col6 + ~col5, scales = "free_x", space = "free_x", switch = "x") +
ggtitle("Title") +
theme_classic() +
theme(
strip.text.y = element_text(angle = 0), legend.position = "right",
legend.key.size = unit(0.4, "cm"),
axis.line = element_line(colour = "black"),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1),
strip.placement = "outside",
strip.background = element_rect(color = "white", fill = "white"),
axis.title = element_blank()
) +
guides(fill = guide_legend(title = NULL, ncol = 1)) +
xlab("X axis") +
ylab("Y axis") +
coord_cartesian(ylim = c(.1, NA))

Can you shift the position of a facet label or strip bar in ggplot?

I'm using ggplot to graph a forest plot. I have used facet labels to label groups (in example below Test1, Test2, Test3). Is there a way to slightly shift the actual position of the facet label/strip to the left (as indicated by the arrows in my picture below)?
I can shift the position of the text within the facet label but I think I have done that as much as possible. Thus, I think I need to shift the actual facet label (strip bar/rectangle) itself. Is this possible?
Would be very grateful if anyone could help me or point out a way to get a similar effect!
Please find reproducible code here:
library(dplyr)
library(ggplot2)
library(ggforce)
library(tidyverse)
# Reproducible dataset
df <- data.frame(outcome = c('outcome1', 'outcome1', 'outcome2','outcome2','outcome3','outcome3','outcome4','outcome4','outcome5','outcome5'),
type = c('Test1','Test1','Test2','Test2', 'Test3', 'Test3', 'Test3','Test3', 'Test3', 'Test3'),
Coef = c(0.10026935, 0.10026935, 0.13713358, 0.13713358,0.07753188,0.07753188,0.09193794,0.09193794,0.06170916,0.06170916),
CIr_low = c(0.070955475,0.070955475,0.108705781,0.108705781,0.052595474,0.052595474,0.056340327,0.056340327,0.036185918,0.036185918),
CIr_high = c(0.12958323,0.12958323,0.16556139,0.16556139,0.10246828,0.10246828,0.12753555,0.12753555,0.08723240,0.08723240),
model = c(1,2,1,2,1,2,1,2,1,2))
# Set type as factor
df <- df %>% mutate(type = fct_relevel(type, "Test1","Test2","Test3"))
# Plot with ggplot
ggplot(df, aes(x = outcome, y = Coef, ymin = CIr_low,ymax =CIr_high,fill = as.factor(type))) +
geom_errorbar(aes(x= outcome, ymin=CIr_low, ymax=CIr_high), width=0.2,cex=0.5)+
geom_point(shape = 18, size = 5)+
facet_grid(type ~ ., scales = "free", space = "free") +
geom_hline(yintercept = 0, linetype = 'dashed', col = 'black') +
scale_y_continuous(limits = c(-0.1, 0.25)) +
ggforce::facet_col(facets = type ~ ., scales = "free_y", space = "free", strip.position = "top")+
theme_bw()+
coord_flip() +
xlab('Group')+
ylab(expression("Standardized" ~ beta *" (95%CI)"))+
theme(line = element_line(colour = "black", size = 0.5),
plot.margin = margin(0.5, 0.5, 0.5, 0.5, unit = "cm"),
strip.background = element_rect(colour = "white", fill="white"),
strip.text = element_text(colour = "black",face="italic"),
strip.text.x = element_text(size = 12,angle = 0,hjust = 0,face="bold.italic", color="darkblue"),
legend.position ="none",
axis.line.x = element_line(colour = "black"),
axis.line.y = element_blank(),
panel.border= element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.background = element_blank(),
panel.spacing = unit(2, "lines"),
axis.ticks = element_blank(),
axis.title.x = element_text(colour = "black"),
axis.title.y = element_blank(),
axis.text=element_text( color = "black")
)
You can try:
ggplot(df, aes(x = outcome, y = Coef, ymin = CIr_low,ymax =CIr_high,fill = as.factor(type))) +
geom_errorbar(aes(x= outcome, ymin=CIr_low, ymax=CIr_high), width=0.2,cex=0.5)+
geom_point(shape = 18, size = 5, show.legend = F)+
geom_hline(yintercept = 0, linetype = 'dashed', col = 'black') +
scale_y_continuous(expression("Standardized" ~ beta *" (95%CI)"),limits = c(-0.1, 0.25)) +
xlab("")+
coord_flip() +
facet_grid(type~., scales = "free", space = "free_y", switch = "y") +
theme_minimal() +
theme(strip.placement = "outside",
strip.text.y.left = element_text(angle = 0,vjust = 1,size=12))
Or use a cowplot approach with ggtitle
plots <- df %>%
split(.$type) %>%
map2(.,names(.), ~ggplot(.x, aes(x = outcome, y = Coef, ymin = CIr_low,ymax =CIr_high,fill = as.factor(type))) +
geom_errorbar(aes(x= outcome, ymin=CIr_low, ymax=CIr_high), width=0.2, size=0.5)+
geom_point(shape = 18, size = 5, show.legend = F)+
geom_hline(yintercept = 0, linetype = 'dashed', col = 'black') +
scale_y_continuous(limits = c(-0.1, 0.25))+
coord_flip() +
xlab('')+
ylab(expression("Standardized" ~ beta *" (95%CI)"))+
ggtitle(.y)+
theme_minimal(base_size = 12)+
theme( panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.title.position = "plot"))
cowplot::plot_grid(plots$Test1 + theme(axis.title.x = element_blank(), axis.ticks.x = element_blank(), axis.text.x = element_blank()),
plots$Test2 + theme(axis.title.x = element_blank(), axis.ticks.x = element_blank(), axis.text.x = element_blank()),
plots$Test3, ncol = 1)

R ggplot2: how to add legend if I use dataframe as data input?

I have tried any method online but the legend is not automatically showing up. Some previous issue says the usage of dataframe in ggplot2 is not preferable, but I have tried together() method and it doesn't work either. How to fix the bug?
Here is the data:
library(ggplot2)
library(gtable)
R = 0.01*c(7.000, 6.800, 6.620, 6.460, 6.330, 6.250, 6.200, 6.160, 6.125, 6.100)
Maturity = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
c = seq(from=0, to=0, length.out = length(R))
for (i in 1:length(R)){
for (j in 1:i){
c[i] = c[i] + 1/(1+R[j])^Maturity[j]
}
c[i] = (1-1/(1+R[i])^Maturity[i])/c[i]
}
Forward = seq(from=0, to=0, length.out = length(R))
for (i in 1:length(R)){
Forward[i] = (1+R[i+1])^2/(1+R[i])-1
}
Here is the plot code in RMarkDown:
```{R fig.width=2.7559, fig.height=2.0669291}
df = data.frame(Maturity=Maturity, ParYield=c, ForwardRate=Forward, R=R)
p = ggplot(data=df, aes(x=Maturity, y=ParYield)) +
ggtitle("Curve of Zero-coupon Yield, Par Yield, Forward Yield")+
labs(x = "Maturity (year)", y = "Par Yield") +
scale_y_continuous(breaks=seq(100*(min(na.omit(Forward), c)-0.01),
100*(max(na.omit(Forward),c)+0.01),by=0.1)/100,
sec.axis = dup_axis(),
labels = scales::number_format(accuracy = 0.005)) +
scale_x_continuous("Maturity", labels=as.character(Maturity), breaks=Maturity,
sec.axis = dup_axis()) +
theme_classic() +
geom_line(aes(y=ParYield), size=1) +
geom_line(aes(y=R), size=1) +
geom_line(aes(y=ForwardRate), size=1) +
geom_point(aes(y=ParYield), shape=21, fill=rgb(69/255, 117/255, 180/255),
size=3, stroke=1.5, color="black") +
geom_point(aes(y=R), shape=22, fill=rgb(145/255, 191/255, 219/255),
size=3, stroke=1.5, color="black") +
geom_point(aes(y=ForwardRate), shape=23, fill=rgb(224/255, 243/255, 248/255),
size=3, stroke=1.5, color="black") +
theme(plot.title = element_text(size=14, hjust=0.5),
text = element_text(size=15, colour = "black", family = "Calibri"),
axis.ticks.length = unit(-0.25, 'cm'),
axis.line = element_line(size=1),
axis.ticks = element_line(size=1),
axis.text.x = element_text(margin = margin(t=15)),
axis.text.x.top = element_text(margin = margin(b=15)),
axis.text.y.right = element_text(margin = margin(l=15, r=5)),
axis.text.y = element_text(margin = margin(l=5, r=15)),
axis.title.x.top = element_blank(),
axis.title.y.right = element_blank())+
guides(colour=guide_legend(override.aes = list(pch=c(16,21,20),fill=c('r','r','r'))))+
theme(legend.position = c(0.8,0.8), legend.justification = c("right", "top"))
p
Check this sketch and make the necessary adjustments as I am not clear on how colors must be set. Pay attention to the suggestion from #stefan and modify next code:
library(ggplot2)
#Code
df = data.frame(Maturity=Maturity, ParYield=c, ForwardRate=Forward, R=R)
ggplot(data=df, aes(x=Maturity, y=ParYield)) +
ggtitle("Curve of Zero-coupon Yield, Par Yield, Forward Yield")+
labs(x = "Maturity (year)", y = "Par Yield") +
scale_y_continuous(breaks=seq(100*(min(na.omit(Forward), c)-0.01),
100*(max(na.omit(Forward),c)+0.01),by=0.1)/100,
sec.axis = dup_axis(),
labels = scales::number_format(accuracy = 0.005)) +
scale_x_continuous("Maturity", labels=as.character(Maturity), breaks=Maturity,
sec.axis = dup_axis()) +
theme_classic() +
geom_line(aes(y=ParYield), size=1) +
geom_line(aes(y=R), size=1) +
geom_line(aes(y=ForwardRate), size=1) +
geom_point(aes(y=ParYield,colour='ParYield'), shape=21, fill=rgb(69/255, 117/255, 180/255),
size=3, stroke=1.5,show.legend = T) + #Black
geom_point(aes(y=R,colour='R'), shape=22,
fill=rgb(145/255, 191/255, 219/255),
size=3, stroke=1.5) + #Black
geom_point(aes(y=ForwardRate,colour='ForwardRate'), shape=23,
fill=rgb(224/255, 243/255, 248/255),
size=3, stroke=1.5) +
theme(plot.title = element_text(size=14, hjust=0.5),
text = element_text(size=15, colour = "black", family = "Calibri"),
axis.ticks.length = unit(-0.25, 'cm'),
axis.line = element_line(size=1),
axis.ticks = element_line(size=1),
axis.text.x = element_text(margin = margin(t=15)),
axis.text.x.top = element_text(margin = margin(b=15)),
axis.text.y.right = element_text(margin = margin(l=15, r=5)),
axis.text.y = element_text(margin = margin(l=5, r=15)),
axis.title.x.top = element_blank(),
axis.title.y.right = element_blank())+
guides(colour=guide_legend(override.aes = list(pch=c(16,21,20))))+
theme(legend.position = c(0.8,0.8), legend.justification = c("right", "top"))+
labs(color='Variable')
Output:
Other option would be:
#Code 2
df = data.frame(Maturity=Maturity, ParYield=c, ForwardRate=Forward, R=R)
ggplot(data=df, aes(x=Maturity, y=ParYield)) +
ggtitle("Curve of Zero-coupon Yield, Par Yield, Forward Yield")+
labs(x = "Maturity (year)", y = "Par Yield") +
scale_y_continuous(breaks=seq(100*(min(na.omit(Forward), c)-0.01),
100*(max(na.omit(Forward),c)+0.01),by=0.1)/100,
sec.axis = dup_axis(),
labels = scales::number_format(accuracy = 0.005)) +
scale_x_continuous("Maturity", labels=as.character(Maturity), breaks=Maturity,
sec.axis = dup_axis()) +
theme_classic() +
geom_line(aes(y=ParYield), size=1) +
geom_line(aes(y=R), size=1) +
geom_line(aes(y=ForwardRate), size=1) +
geom_point(aes(y=ParYield,colour='ParYield'), shape=21,
fill=rgb(69/255, 117/255, 180/255),
size=3, stroke=1.5,show.legend = T) +
geom_point(aes(y=R,colour='R'), shape=22,
fill=rgb(145/255, 191/255, 219/255),
size=3, stroke=1.5) +
geom_point(aes(y=ForwardRate,colour='ForwardRate'), shape=23,
fill=rgb(224/255, 243/255, 248/255),
size=3, stroke=1.5) +
scale_color_manual(values = c('black','black','black'))+
theme(plot.title = element_text(size=14, hjust=0.5),
text = element_text(size=15, colour = "black", family = "Calibri"),
axis.ticks.length = unit(-0.25, 'cm'),
axis.line = element_line(size=1),
axis.ticks = element_line(size=1),
axis.text.x = element_text(margin = margin(t=15)),
axis.text.x.top = element_text(margin = margin(b=15)),
axis.text.y.right = element_text(margin = margin(l=15, r=5)),
axis.text.y = element_text(margin = margin(l=5, r=15)),
axis.title.x.top = element_blank(),
axis.title.y.right = element_blank())+
guides(colour=guide_legend(override.aes = list(pch=c(16,21,20))))+
theme(legend.position = c(0.8,0.8), legend.justification = c("right", "top"))+
labs(color='Variable')
Output:
You need to map some additional aesthetics to variables in your data. I accomplished this by pivoting your data to a longer format.
library(tidyr)
df2 <- df %>% pivot_longer(-Maturity, names_to = "Yield", values_to = "Rate")
Then, I only used one geom_line and one geom_point, but with the new Yield variable mapped to group, fill, and shape. Now you can use scale_shape_manual and scale_fill_manual to set the appearances the way you want.
p = ggplot(data=df2, aes(x = Maturity, y = Rate, group = Yield,
fill = Yield, shape = Yield)) +
ggtitle("Curve of Zero-coupon Yield, Par Yield, Forward Yield")+
labs(x = "Maturity (year)", y = "Yield") +
scale_y_continuous(breaks=seq(100*(min(na.omit(Forward), c)-0.01),
100*(max(na.omit(Forward),c)+0.01),by=0.1)/100,
sec.axis = dup_axis(),
labels = scales::number_format(accuracy = 0.005)) +
scale_x_continuous("Maturity", labels=as.character(Maturity), breaks=Maturity,
sec.axis = dup_axis()) +
theme_classic() +
geom_line(size=1) +
geom_point(size=3, stroke=1.5, color="black") +
scale_shape_manual(values = c("ParYield" = 21, "R" = 22, "ForwardRate" = 23),
labels = c("Par Yield", "Zero-coupon Yield", "Forward Yield")) +
scale_fill_manual(values = c("ParYield" = rgb(69/255, 117/255, 180/255),
"R" = rgb(145/255, 191/255, 219/255),
"ForwardRate" = rgb(224/255, 243/255, 248/255)),
labels = c("Par Yield", "Zero-coupon Yield", "Forward Yield")) +
theme(plot.title = element_text(size=14, hjust=0.5),
text = element_text(size=15, colour = "black", family = "Calibri"),
axis.ticks.length = unit(-0.25, 'cm'),
axis.line = element_line(size=1),
axis.ticks = element_line(size=1),
axis.text.x = element_text(margin = margin(t=15)),
axis.text.x.top = element_text(margin = margin(b=15)),
axis.text.y.right = element_text(margin = margin(l=15, r=5)),
axis.text.y = element_text(margin = margin(l=5, r=15)),
axis.title.x.top = element_blank(),
axis.title.y.right = element_blank())+
guides(colour=guide_legend(override.aes = list(pch=c(16,21,20),fill=c('r','r','r'))))+
theme(legend.position = c(0.8,0.8), legend.justification = c("right", "top"))
I would recommend rethinking your y axis labels.'

Wrong synchronization between the labels, the colors and the slices in a pie chart

By running this code :
g <- ggplot(results_table, aes(x = "", y = Pct*100,
fill = factor(results_table$Criteria, as.character(results_table$Criteria))),width = 0.5) +
geom_bar(stat = "identity") +
scale_color_manual(values = Palcolor) +
scale_fill_manual(values = Palcolor) +
coord_polar(theta = "y", start = 0, direction = -1) +
theme_minimal() +
theme(legend.position = "bottom", legend.title=element_blank(), axis.title.x = element_blank(),,
axis.title.y = element_blank(), panel.border = element_blank(), panel.grid = element_blank(),
axis.text = element_blank(), axis.ticks = element_blank(),
plot.title = element_text(size = 14, hjust = 0.5, vjust = 0)) +
guides(fill = guide_legend(nrow = 4, byrow = TRUE)) +
theme(
legend.key.height = unit(0.3, "lines"), #smaller squares
legend.key.width = unit(0.7, "lines"), #smaller squares
legend.margin=margin(l = 40, unit='pt'),
legend.text = element_text(margin = margin(r = 60, unit = "pt"))) +
xlab("") +
ylab("") +
geom_text(aes(x = 1.70, y =Pct*100/2 + c(0, cumsum(Pct*100)[-length(Pct*100)]),
label = paste0(sprintf("%0.1f", round(Pct*100, digits = 1)),"%")),
size = 3.2) +
labs(title = gTitle)
}
I get this pie chart :
As you can see, the slices and the color are right, but the labels are reversed. If I use
position = position_stack (vjust = 0.5, reverse = TRUE)
in geom_text, it reduces the whole pie to a small slice, then it doesn't fix my issue.
The solution is to substract the result of the formula for y in geom_text from 100 :
`geom_text(aes(x = 1.70, y = 100-(Pct*100/2 + c(0, cumsum(Pct*100)[-length(Pct*100)])),
label = paste0(sprintf("%0.1f", round(Pct*100, digits = 1)),"%")),
size = 3.2)'

barplot data does not correspond to legend

I have the following code producing a stacked barplot in ggplot
data_age <- data.frame(age = as.factor(c("16 to 20", "21 to 24", "25 to 30", "31 to 40", "40+")),
total = c(740, 1092, 855, 525, 182),
perc_total = c(22, 32, 25, 15, 5))
g_age <- ggplot(data_age , aes(1, perc_total, fill = age, label = perc_total)) +
geom_bar(stat ="identity") +
geom_text(size = 4, position = position_stack(vjust = 0.5), colour = "black") +
coord_flip() +
scale_y_continuous(limits = c(0, 100)) +
scale_x_continuous(limits = c(0, 2), breaks = 1) +
scale_fill_manual(guide = guide_legend(title = NULL, keyheight = 0.5, keywidth = 0.5, direction = "horizontal"), values = c("#FFFFB2", "#FECC5C", "#FD8D3C", "#F03B20", "#BD0026")) +
theme_bw() +
theme(plot.title = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(),
axis.text.x = element_blank(), axis.ticks.x = element_blank(), panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
legend.position="bottom")
Which results in this barplot
However I need the order of the data to be reversed. I can achieve that by doing the following
g_age_2 <- ggplot(data_age , aes(1, perc_total, fill = levels(age)[5:1], label = perc_total)) +
geom_bar(stat ="identity") +
geom_text(size = 4, position = position_stack(vjust = 0.5), colour = "black") +
coord_flip() +
scale_y_continuous(limits = c(0, 100)) +
scale_x_continuous(limits = c(0, 2), breaks = 1) +
scale_fill_manual(guide = guide_legend(title = NULL, keyheight = 0.5, keywidth = 0.5, direction = "horizontal"), values = c("#BD0026", "#F03B20", "#FD8D3C", "#FECC5C", "#FFFFB2")) + ## Inverted the colors too
theme_bw() +
theme(plot.title = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank(),
axis.text.x = element_blank(), axis.ticks.x = element_blank(), panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
legend.position="bottom")
And this plot follows the order and the colors that I want, but the legend does not match
How can I solve this?
You could do:
g_age <- ggplot(data_age , aes(1, perc_total, fill = age, label = perc_total)) +
geom_bar(stat ="identity",position = position_stack(reverse = TRUE)) +
geom_text(size = 4, position = position_stack(vjust = 0.5,reverse = TRUE), colour = "black") +
coord_flip() +
scale_y_continuous(limits = c(0, 100)) +
scale_x_continuous(limits = c(0, 2), breaks = 1) +
scale_fill_manual(guide = guide_legend(title = NULL, keyheight = 0.5, keywidth = 0.5, direction = "horizontal"),
values = c("#FFFFB2", "#FECC5C", "#FD8D3C", "#F03B20", "#BD0026")) +
theme_void() +
theme(legend.position="bottom")
Note the addition of position = position_stack(reverse = TRUE) to geom_bar() and to geom_text() as well.
I also replaced the theme with theme_void() to remove everything and just have theme() for setting the position of the legend.

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