# Adjust legend of the graph

Could you help me adjust my graph legend below? I would like to leave the graph legend on the right side, but outside the graph, I don't know how to adjust this. I tried to adjust but it wasn't good

``````library(dplyr)
library(tidyverse)
library(lubridate)

df1 <- structure(
list(date1= c("2021-06-28","2021-06-28","2021-06-28","2021-06-28"),
date2 = c("2021-06-30","2021-06-30","2021-07-01","2021-07-01"),
Category = c("FDE","ABC","FDE","ABC"),
Week= c("Wednesday","Wednesday","Friday","Friday"),
DR1 = c(4,1,6,3),
DR01 = c(4,1,4,3), DR02= c(4,2,6,2),DR03= c(9,5,4,7),
DR04 = c(5,4,3,2),DR05 = c(5,4,5,4),
DR06 = c(2,4,3,2),DR07 = c(2,5,4,4),
DR08 = c(3,4,5,4),DR09 = c(2,3,4,4)),
class = "data.frame", row.names = c(NA, -4L))

f1 <- function(dmda, CategoryChosse) {

x<-df1 %>% select(starts_with("DR0"))

x<-cbind(df1, setNames(df1\$DR1 - x, paste0(names(x), "_PV")))
PV<-select(x, date2,Week, Category, DR1, ends_with("PV"))

med<-PV %>%
group_by(Category,Week) %>%
summarize(across(ends_with("PV"), median))

SPV<-df1%>%
inner_join(med, by = c('Category', 'Week')) %>%
mutate(across(matches("^DR0\\d+\$"), ~.x +
get(paste0(cur_column(), '_PV')),
.names = '{col}_{col}_PV')) %>%
select(date1:Category, DR01_DR01_PV:last_col())

SPV<-data.frame(SPV)

mat1 <- df1 %>%
filter(date2 == dmda, Category == CategoryChosse) %>%
select(starts_with("DR0")) %>%
pivot_longer(cols = everything()) %>%
arrange(desc(row_number())) %>%
mutate(cs = cumsum(value)) %>%
filter(cs == 0) %>%
pull(name)

(dropnames <- paste0(mat1,"_",mat1, "_PV"))

SPV <- SPV %>%
filter(date2 == dmda, Category == CategoryChosse) %>%
select(-any_of(dropnames))

datas<-SPV %>%
filter(date2 == ymd(dmda)) %>%
group_by(Category) %>%
summarize(across(starts_with("DR0"), sum)) %>%
pivot_longer(cols= -Category, names_pattern = "DR0(.+)", values_to = "val") %>%
colnames(datas)[-1]<-c("Days","Numbers")

datas <- datas %>%
group_by(Category) %>%
slice((as.Date(dmda) - min(as.Date(df1\$date1) [
df1\$Category == first(Category)])):max(Days)+1) %>%
ungroup

plot(Numbers ~ Days,  xlim= c(0,45), ylim= c(0,30),
xaxs='i',data = datas,main = paste0(dmda, "-", CategoryChosse))

model <- nls(Numbers ~ b1*Days^2+b2,start = list(b1 = 0,b2 = 0),data = datas, algorithm = "port")

new.data <- data.frame(Days = with(datas, seq(min(Days),max(Days),len = 45)))
new.data <- rbind(0, new.data)
lines(new.data\$Days,predict(model,newdata = new.data),lwd=2)
coef<-coef(model)[2]
points(0, coef, col="red",pch=19,cex = 2,xpd=TRUE)
text(.99,coef + 1,max(0, round(coef,1)), cex=1.1,pos=4,offset =1,col="black")
legend("topright",legend= round(coef,1),title="The number is é:",title.col = "black", cex = 1.2)
}
f1("2021-06-30", "FDE")
``````

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